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Symposium and Mini-Symposium

Psychedelics and Neural Plasticity: Therapeutic Implications

Steven F. Grieco, Eero Castrén, Gitte M. Knudsen, Alex C. Kwan, David E. Olson, Yi Zuo, Todd C. Holmes and Xiangmin Xu
Journal of Neuroscience 9 November 2022, 42 (45) 8439-8449; https://doi.org/10.1523/JNEUROSCI.1121-22.2022
Steven F. Grieco
1Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, California 92697
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Eero Castrén
2Neuroscience Center-HiLIFE, University of Helsinki, Helsinki, Finland 00014
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Gitte M. Knudsen
3Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark 2200
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Alex C. Kwan
4Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853
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David E. Olson
5Department of Chemistry, University of California-Davis, Davis, California 95616
6Department of Biochemistry & Molecular Medicine, School of Medicine, University of California, Davis, Sacramento, California 95817
7Center for Neuroscience, University of California-Davis, Davis, California 95618
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Yi Zuo
8Department of Molecular, Cell and Developmental Biology, University of California-Santa Cruz, Santa Cruz, California 95064
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Todd C. Holmes
9Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, California 92697
10Center for Neural Circuit Mapping, University of California-Irvine, Irvine, California 92697
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Xiangmin Xu
1Department of Anatomy and Neurobiology, School of Medicine, University of California, Irvine, California 92697
10Center for Neural Circuit Mapping, University of California-Irvine, Irvine, California 92697
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Abstract

Psychedelic drugs have reemerged as tools to treat several brain disorders. Cultural attitudes toward them are changing, and scientists are once again investigating the neural mechanisms through which these drugs impact brain function. The significance of this research direction is reflected by recent work, including work presented by these authors at the 2022 meeting of the Society for Neuroscience. As of 2022, there were hundreds of clinical trials recruiting participants for testing the therapeutic effects of psychedelics. Emerging evidence suggests that psychedelic drugs may exert some of their long-lasting therapeutic effects by inducing structural and functional neural plasticity. Herein, basic and clinical research attempting to elucidate the mechanisms of these compounds is showcased. Topics covered include psychedelic receptor binding sites, effects of psychedelics on gene expression, and on dendrites, and psychedelic effects on microcircuitry and brain-wide circuits. We describe unmet clinical needs and the current state of translation to the clinic for psychedelics, as well as other unanswered basic neuroscience questions addressable with future studies.

  • psychedelics
  • psychoplastogens
  • plasticity
  • 5-HT2AR
  • circuits

Introduction

A unique and fascinating feature of psychedelics is that intake of one or a few doses is associated with long-lasting effects on behaviors, attitudes, mood, and personality in humans, but the mechanistic relationship between exposure to a single dose and long-term therapeutic effects still needs to be established. The term “psychoplastogen” was coined to distinguish compounds that produce rapid and sustained effects from those that induce plasticity following chronic administration (e.g., traditional antidepressants). By definition, psychoplastogens are therapeutics that rapidly induce neuroplasticity following a single dose leading to long-lasting changes in behavior. This can include classical psychedelics and psychedelic-like compounds. As the definition of “psychedelic” is somewhat vague, efforts have been made to classify molecules into distinct subclasses based on their pharmacological profiles and unique subjective effects. Classical psychedelics are defined as mind-manifesting drugs that produce their hallucinogenic effects through activation of serotonin 2A receptors (5-HT2ARs). This research space also currently includes psychedelic-like compounds, such as dissociative anesthetics (e.g., the NMDAR antagonist ketamine), entactogens (e.g., the 5-HT releaser 3,4-methylenedioxymethamphetamine, also known as MDMA or “ecstasy”), and deliriants (e.g., the anticholinergic drug scopolamine) (Fig. 1A).

Figure 1.
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Figure 1.

Psychedelics. A, Psychedelics are mind-altering drugs that produce their hallucinogenic effects through activation of 5-HT2ARs. Psychedelic-like drugs include dissociative anesthetics (e.g., ketamine), entactogens (e.g., MDMA or “ecstasy”), deliriants (scopolamine), and oneirogens (ibogaine). B, Psychedelics are much less harmful to users than other recreational drugs (see Nutt et al., 2010).

Research on psychedelics waned after the passing of the Controlled Substance Act by Congress in 1970 (Nichols, 2016). Currently, there is renewed interest in the therapeutic potential of psychedelics, a class of compounds with “mind-manifesting” properties (i.e., compounds with properties that manifest characteristics of the mind) (Nichols and Walter, 2021). The FDA's “breakthrough therapy” designation, a process designed to expedite the development and review of drugs that may demonstrate significant improvement over available treatments, of several psychedelic-related compounds, reflects a growing optimism that these molecules might be useful for treating various neuropsychiatric disorders. This designation was granted for ketamine in 2013 for treatment-resistant depression, for MDMA in 2017 for post-traumatic stress disorder (PTSD), and for psilocybin in 2019 for treatment-resistant depression. In 2019, Janssen's SPRAVATO (S-ketamine) nasal spray was granted FDA approval for treatment-resistant depression, potentially paving the way for MDMA and psilocybin to follow suit. Ketamine therapy is currently the only “breakthrough therapy” of the three to be FDA approved. The European Medicines Agency has also approved Phase III parallel studies on ketamine backed by the Multidisciplinary Association of Psychedelic Research. It is possible that MDMA therapy could receive FDA approval for treating PTSD as early as 2023, while psilocybin's development timeline appears to be a bit longer. The psychedelics drug market has potential for reaching many patients.

Several natural psychedelics were introduced to Western ethnobotanists by indigenous cultures that had discovered medicinal and/or religious uses for related plants and fungi. Chemists determined many of the psychoactive agents in these botanicals by the ∼1960s, including psilocybin and its active metabolite psilocin (from “magic mushrooms”), N,N-dimethyltryptamine (DMT, from the plant mixture ayahuasca), salvinorin A (from the plant Salvia divinorum), and mescaline (from the peyote cactus). Because of their psychotropic effects, and relatively low potential for abuse (Fig. 1B), these substances have proven to be important tools to the field of psychiatry (Vargas et al., 2021). Lysergic acid diethylamide (LSD) is a prime example of a classical psychedelic, identified by serendipitous discovery. It was originally synthesized by Swiss chemist Albert Hoffman for purposes unrelated to perceptual alterations. Ketamine, a psychedelic-like compound, is a structural analog of phencyclidine and has been used as an anesthetic for many years. More recently, some have heralded the discovery of ketamine's antidepressant effects as “the most important discovery in half a century” for neuropsychiatry (Duman, 2018). Whether nature- or laboratory-made, psychedelics are a topic of fast-moving research.

While the subjective effects induced by psychedelics may offer some distinct benefits to patients (Yaden and Griffiths, 2020), there are potential pitfalls to psychedelic-assisted psychotherapy. These drugs induce perceptual alterations and are not well tolerated by all patients. The clinical use of psychedelics thus requires extensive patient preparation, monitoring, and follow-up, which is time-consuming and expensive (Olson, 2020). There are also side effects associated with psychedelics which may limit their clinical scalability (e.g., cardiotoxicity and abuse potential). To circumvent these issues, scientists are attempting to develop shorter-acting psychedelics or nonhallucinogenic analogs of psychedelics with no or limited mind-manifesting properties, but that retain therapeutic properties (Cameron and Olson, 2022). Whether such chemical modifications are compatible with therapeutic efficacy remains to be shown in the clinic.

One example of a potentially efficacious compound is the nonhallucinogenic psychedelic analog tabernanthalog (TBG), a compound structurally related to the naturally occurring compounds 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) and ibogaine. TBG induces structural neural plasticity both in vitro and in vivo, and produces both anti-depression-like and anti-addictive effects in rodents (Cameron et al., 2021). Similarly, R-ketamine may be less mind-manifesting than S-ketamine. The investigational new drug application for R-ketamine was recently approved, allowing Perception Neuroscience to begin clinical trials in the United States for major depressive disorder. In addition, (2R,6R)-hydroxynorketamine (R,R-HNK), a metabolite of R-ketamine with low affinity for NMDA-type glutamate receptors (Highland et al., 2021), produces antidepressant-like and plasticity-promoting effects without psychotomimetic effects in rodents (Zanos et al., 2016; Yao et al., 2018), and is now in Phase 1 clinical trials for major depressive disorder, sponsored by the National Institute of Mental Health.

Classical psychedelics, such as psilocybin, LSD, and other serotonergic psychedelics of the tryptamine and ergoline classes, have been instructive for understanding how analogs might produce therapeutic effects. Classical psychedelics bind to 5-HT2AR, a GPCR that activates various intraneuronal signaling pathways. While LSD binds to the orthosteric site of the 5-HT2AR, certain ergoline-like analogs of LSD bind to the 5-HT2AR at an extended binding pocket (Cao et al., 2022). These analogs produce antidepressant-like effects without causing increases in the head-twitch response, a behavior associated with classical psychedelics (González-Maeso et al., 2007). Thus, a psychedelic and its analog can be differentiated mechanistically at the molecular level.

In this article, we review the current state-of-the-field focusing primarily on our own work on psychedelics. Highlights span a wide range of psychedelic research topics within the broader theme of therapeutic neural plasticity. We include receptor actions of the fast-acting antidepressant ketamine, as well as the effects of ketamine and other classical psychedelics (psilocybin, LSD, etc.) on the expression of genes relevant to neuroplasticity measured both structurally and functionally. We highlight the effects of psychedelics on circuits, both microcircuits and brain-wide circuits, to induce reopening of critical period-like neural plasticity and to produce behavioral effects. We compare mechanisms of plasticity for psychedelics with other plasticity-promoting molecules, such as traditional antidepressants and drugs of abuse with addictive properties (Fig. 2A,B). We present approaches for testing the effects of psychedelics in the human brain which presents unique challenges. Each section presents key experimental models and findings critical to understanding the therapeutic effects of psychedelics on neural plasticity. The clinical implication of this research is presented wherever possible, along with a discussion of any potential hurdles toward translation.

Figure 2.
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Figure 2.

Psychedelics and neuroplasticity. A, Many traditional antidepressants (SSRIs) promote iPlasticity: they induce juvenile-like plasticity in the adult brain (see Castrén, 2005; Umemori et al., 2018). A property of many psychedelics is that they are psychoplastogens: they are exogenously administered therapeutic drugs that promote long-lasting neuroplasticity after a single dose (see Olson, 2018). B, To date, evidence of promoting structural or functional plasticity has been shown for several psychedelics or psychedelic-like drugs (see Olson, 2020; de Vos et al., 2021; Lukasiewicz et al., 2021; Jaster et al., 2021).

Receptor binding of traditional antidepressants and ketamine

Promotion of neural plasticity is the central mechanism through which ketamine and other antidepressants bring about their clinical effects on mood recovery. Ketamine-induced plasticity has been investigated using ocular dominance plasticity (ODP) after monocular deprivation in mammalian visual cortex, a classical model of cortical plasticity (Hübener and Bonhoeffer, 2014). Previous studies had shown that chronic treatment with the selective 5-HT reuptake inhibitor (SSRI) antidepressant fluoxetine reactivates a critical period-like plasticity in the adult visual cortex and allows the recovery of visual acuity in an amblyopic eye in a rat model (Maya Vetencourt et al., 2008), and this has been coined iPlasticity (Castrén, 2005). Using the same model, both ketamine and its metabolite R,R-HNK also reactivate ODP in the murine visual cortex but do so with a much faster time scale than fluoxetine does, consistent with their faster onset of antidepressant-like effects (Casarotto et al., 2021; Cannarozzo et al., 2022). R,R-HNK produces an ODP response comparable to that of fluoxetine, but preliminary data suggest that the size of the effects of ketamine is more restricted, albeit significant (Cannarozzo et al., 2022), perhaps because ketamine inhibits NMDARs, which is known to restrict ODP (Sawtell et al., 2003). The effects of fluoxetine and ketamine are dependent on signaling of BDNF through its neurotrophic tyrosine kinase receptor 2 (NTRK2, TRKB) (Maya Vetencourt et al., 2008; Casarotto et al., 2021). Importantly, antidepressants reactivate early-life plasticity also in mood-relevant circuitry (Autry et al., 2011; Karpova et al., 2011; Duman, 2018), suggesting that the enhanced ability to rewire abnormal networks, guided by environmental experiences, may underlie the antidepressant effect (Castrén, 2013).

The mechanisms through which ketamine promotes neural plasticity are unclear. Ketamine is considered to act by binding to and inhibiting NMDARs. However, other NMDAR antagonists do not show antidepressant effects (Zarate et al., 2006), and R,R-HNK does not bind to NMDARs at the doses that produce antidepressant-like responses in mice (Zanos et al., 2016). Therefore, increasing evidence suggests a dissociation between the inhibition of NMDARs and the antidepressant effects of ketamine.

Recently, ketamine has been found to allosterically increase signaling by BDNF by binding directly to TRKB, the high-affinity BDNF receptor (Casarotto et al., 2021). The affinities of ketamine to TRKB and NMDARs are similar, and concentrations sufficient for binding to both receptors are achieved during ketamine treatment. Importantly, R,R-HNK binds to TRKB, but not to NMDARs, at concentrations that promote neural plasticity, suggesting that TRKB may be the hitherto unknown signaling receptor for R,R-HNK (Zanos et al., 2016). Furthermore, other drugs with clinical antidepressant effects (SSRIs and tricyclic antidepressants) bind to this same site in TRKB with an affinity that is comparable to that of ketamine (Casarotto et al., 2021). SSRIs and tricyclic antidepressants bind to a pocket formed by the dimers of TRKB transmembrane domains (TMDs) that cross each other within the cell membrane. Data suggest a model where binding of antidepressants within the plasma membrane stabilizes a signaling-competent conformation of TRKB dimers and thereby increases the retention of TRKB within synaptic membranes where they are bound by synaptic BDNF (Casarotto et al., 2021). Removal of a single atom of oxygen (tyrosine 433 to phenylalanine mutation, Y433F) from the TRKB TMD region, where the antidepressants are predicted to bind, blocks binding of ketamine, fluoxetine, and imipramine to TKRB. This prevents both the plasticity-promoting and the antidepressant-like behavioral effects of these drugs. These data suggest that binding to the TRKB TMD may be the common site of action for all antidepressant drugs. The model further proposes that antidepressants, including ketamine, are not direct agonists of TRKB, but by promoting a signaling-competent configuration within the plasma membrane, they promote signaling by endogenous BDNF that is synaptically released in an activity-dependent manner. Therefore, as selection of active synapses versus the inactive ones is a critical feature of neural plasticity and iPlasticity, antidepressants, through binding to TRKB, promote activity-dependent synapse selection.

Receptor binding of psychedelics

The mechanism by which a single psychedelic dose brings about long-lasting therapeutic effects for humans is only now starting to be explored in clinical studies (for review, see Knudsen, 2022; and see below). As mentioned above, classical psychedelics, such as LSD, DMT, and psilocybin, bind to the 5-HT2AR, a GPCR that activates various intraneuronal signaling pathways. Since the subjectively reported intensity of the psychedelic experience of psilocybin in humans correlates with 5-HT2AR occupancy and plasma psilocin levels (Madsen et al., 2019; Stenbæk et al. 2021), it will be informative to compare the behavioral effects of comparable drug exposures in humans and in nonhuman animals (Donovan et al., 2021) (i.e., doses that are associated with a 5-HT2AR occupancy of 40%-70% in nonhuman animals). Whereas the correlation between plasma drug levels, cerebral 5-HT2AR occupancy, and the perceived intensity of the psychedelic experience is well established for psilocybin, these associations should also be established for other psychedelics, such as LSD and DMT. This would ensure that psychedelic drugs are compared at the same level of 5-HT2AR occupancy, which could clarify whether different psychedelics have comparable effects or whether their effects are distinct because of differences in efficacy, functional selectivity, or polypharmacology (Griffiths et al., 2011; MacLean et al., 2011; Holze et al., 2022).

A question of particular relevance for the development of 5-HT2AR agonists without hallucinogenic properties is whether the psychedelic experience itself is a prerequisite for the beneficial effects of the drugs (Olson, 2020; Yaden and Griffiths, 2020). Supporting the view that the psychedelic experience is required for their therapeutic effects, participants who have so-called mystical experiences during psilocybin sessions score significantly higher compared with baseline on the personality trait Openness, and the change is correlated to the intensity of the experience (MacLean et al., 2011). Mystical experiences include a sense of profound unity with all that exists, a sense of sacredness and of truth and reality, deeply felt positive mood, transcendence of time and space, and difficulty explaining the experience in words, and can be assessed with the Mystical Experience Questionnaire (Barrett et al., 2015). The strength of mystical experience also correlates with therapeutic effects in cigarette smoking cessation (Garcia-Romeu et al., 2014) and with diminished anxiety and depression in terminal cancer patients (Griffiths et al., 2016; Ross et al., 2016; Barrett et al., 2020). Alternatively, some preclinical studies have shown that psilocybin-induced neuroplasticity may not depend on 5-HT2AR (Hesselgrave et al., 2021), suggesting a potential mechanism by which psychedelics could be therapeutic without the psychedelic experience, assuming that psychedelic experiences are 5-HT2AR-mediated.

In healthy individuals, increased Openness is a key long-term effect of psychedelics; and interestingly, psilocybin studies in healthy individuals show that neocortex 5-HT2AR binding as measured with PET is negatively associated with the peak-plateau duration of the experience and with the Mystical Experience Questionnaire total score (Madsen et al., 2021), meaning that individual differences in baseline cerebral 5-HT2AR could determine likelihood to experience positive/therapeutic effects. In patients with moderate or severe, unipolar treatment-resistant depression, psilocybin given twice, 1 week apart, increases Openness and Extraversion at a 3 month follow-up (Erritzoe et al., 2018).

While molecular changes associated with neuronal plasticity (signaling pathways, gene expression, and protein synthesis) are difficult to assess in vivo in the human brain, BDNF and other plasticity-promoting factors can be measured in serum or whole blood (but not reliably in plasma or CSF) (Trajkovska et al., 2007). Although never documented in humans, peripheral measures of BDNF appear to reflect brain tissue content well in other species (Klein et al., 2011). Whether serum BDNF (and potentially other neurotrophic factors) are increased by psychedelics remains to be firmly established. Two studies measured plasma BDNF before and after LSD intervention, finding no change (Holze et al., 2021; Hutten et al., 2021), but it would be better to know the temporal profile of serum BDNF in the case that changes are more reliably measured there (de Almeida et al., 2019).

In addition to peripheral measurement of BDNF, another read-out of the effect of psychedelic compound binding of the 5-HT2AR in human brain, is glutamate release, which unlike BDNF measurements, can be readily quantified in human brain (Dos Santos and Hallak, 2020; Mason et al., 2020). Temporal and regional profiles of glutamate release in the human brain have been correlated to changes in brain volume (McKinnon et al., 2009; Santos et al., 2018), perturbations in task-related fMRI, and in resting state functional brain connectivity (Sampedro et al., 2017; Barrett et al., 2020; Madsen et al., 2021; McCulloch et al., 2022). Knowing the temporal profile of these measures will provide a more complete understanding of processes important for the long-lasting effects of these drugs. Moreover, they will provide a basis for forming testable hypotheses about the neural plasticity changes relevant to clinical effects. Long-lasting changes in neural plasticity could potentially also be measured with functional imaging or SV2A PET ligands in humans (Raval et al., 2021; Knudsen, 2022).

Effects of psychedelics on gene expression

The long-lasting effects of psychedelics on mood in humans are paralleled by long-lasting structural changes in neurons in nonhuman animals. For example, a short 15 min to 1 h stimulation of cultured cortical neurons with ketamine or LSD leads to neuronal growth that persists long after the compounds have been removed from the culture media (Ly et al., 2021). Moreover, after psilocybin administration, a higher density of dendritic spines is observed in the mPFC of the mouse for at least 1 month (Shao et al., 2021), despite the fact that psilocybin is rapidly cleared from the body. It is well established that new dendritic spines require synaptic machineries to be functional (Knott et al., 2006). But, in order for protein machinery to be maintained long-term at synapses, cell-wide signals involving activity-dependent transcription must take place (Yap and Greenberg, 2018), potentially as a result of epigenomic changes (de la Fuente Revenga et al., 2021).

Pioneering work on the effects of neural activity on gene expression (relevant to the mechanisms of action for psychedelics), focused on immediate early genes (IEGs), which are implicated in long-term cellular responses to external stimuli and spiking activity. IEGs, such as c-Fos, are transcription factors that regulate gene expression, while other IEGs, such as Arc, are effectors. Leslie et al. (1993) measured the effects of the psychedelic DOI on c-Fos expression in rats. Elevated c-Fos expression is detected 30 min after drug administration, and reaches a peak at 3 h before declining to background (Leslie et al., 1993). This and subsequent work on LSD and psilocybin reveal region-specific elevation of c-Fos expression in frontal, parietal, piriform, and cingulate cortices, as well as the claustrum, and amygdala (Leslie et al., 1993; Erdtmann-Vourliotis et al., 1999; Frankel and Cunningham, 2002; Gresch et al., 2002; Davoudian et al., 2022).

Serotonergic agonists and psychedelics also increase expression of the effector IEG Arc (Pei et al., 2004). DOI-elicited elevations of Arc and c-Fos expression colocalize in the same cortical cells (Pei et al., 2004). Their expression depends fully on functional 5-HT2ARs (Leslie et al., 1993; Scruggs et al., 2000; González-Maeso et al., 2003; Nichols et al., 2003; Pei et al., 2004), and partially on AMPARs and NMDARs (Scruggs et al., 2000; Pei et al., 2004). The colocalization and similarities in receptor dependence suggest a single mechanism that drives the psychedelic-evoked expression of different IEGs.

If psychedelics act on similar receptors to initiate a single mechanism of action, it will be important to determine whether there is also a single-cell type that responds to psychedelics. Immunohistochemical staining shows that DOI- and LSD-evoked c-Fos signals do not occur in 5-HT2AR-expressing neurons in rat neocortex (Scruggs et al., 2000; Gresch et al., 2002). Yet, Htr2a mRNA transcripts are detected in c-Fos-positive cells after psychedelic treatment (González-Maeso et al., 2007; Martin and Nichols, 2016). This discrepancy may be because antibodies for 5-HT2ARs are not specific, or the Htr2a transcripts may not reflect protein levels. c-Fos expression in the neocortex may be preferentially induced in GABAergic interneuron (Abi-Saab et al., 1999; Martin and Nichols, 2016).

Microarrays used to screen targets in cortical tissues within hours after LSD administration reveal differential expression of not only IEGs, but also genes for synaptic function and immune suppression (Nichols and Sanders-Bush, 2002). In one notable study, González-Maeso et al. (2007) tested DOI, mescaline, LSD, psilocin, as well as nonhallucinogenic 5-HT2AR agonists, such as ergotamine and lisuride. Differential expression of Egr-1 and Egr-2 distinguished hallucinogenic compounds from nonhallucinogenic compounds (González-Maeso et al., 2007). Other recent work highlights other genes exhibiting expression changes following psilocybin treatment (Donovan et al., 2021; Jefsen et al., 2021).

As mentioned earlier, psychedelic binding or activation of G-proteins, such as 5-HT2ARs and their associated pathways, contributes to gene expression responses (González-Maeso et al., 2007; Banerjee and Vaidya, 2020), epigenetic modifications alter transcriptional activation and repression (de la Fuente Revenga et al., 2021), and BDNF may mediate the cellular and molecular effects. For example, DOI causes a dose-dependent and 5-HT2AR-dependent increase of BDNF mRNA in rat neocortex as early as 1 h after administration (Vaidya et al., 1997). Notably, the induction of IEGs is attenuated significantly if DOI is administered in BDNF KO mice (Benekareddy et al., 2013); and when TrkB is blocked, the ability of psychedelics to stimulate neurite growth in cultured neurons is abolished (Ly et al., 2018). This highlights the role of BDNF as a point of convergence for psychedelics and ketamine effects on dendrites (Ali et al., 2020; Savalia et al., 2021), BDNF signaling pathways (Li et al., 2010; Wang et al., 2022), and structural neural plasticity (Li et al., 2010; Phoumthipphavong et al., 2016). Direct comparison of the transcriptional impact of psychedelics and ketamine (Donovan et al., 2021; Davoudian et al., 2022; Lopez et al., 2022) should provide valuable insights into their therapeutic actions.

Effects of psychedelics on dendrites

Synaptic dysfunction and altered synaptic plasticity are closely associated with neurologic and psychiatric disorders (Goto et al., 2010; Forrest et al., 2018; Wang et al., 2018). The 5-HT2AR, a common target of psychedelics, is expressed on dendritic shafts and dendritic spines of cortical neurons in both rodents and primates (Jakab and Goldman-Rakic, 1998; Miner et al., 2003; Jones et al., 2009; Weber and Andrade, 2010; Yoshida et al., 2011). In recent years, accumulating evidence indicates that psychedelic compounds that bind 5-HT2ARs rapidly promote neural plasticity both structurally and functionally, suggesting that this is a potential mechanism underlying the therapeutic effects of psychedelics (Olson, 2018; Inserra et al., 2021a; Kadriu et al., 2021).

In vitro studies reveal that psychedelics promote dendritic growth and increase synaptic connections. DOI, one of the more readily accessible psychedelics to researchers, has been shown to increase dendritic growth (Persico et al., 2006; Ohtani et al., 2014; Ly, Greb et al., 2018; Ly et al., 2021), synaptic puncta, spine density (Yoshida et al., 2011; Ly et al., 2018), and spine size (Jones et al., 2009) in cultured cortical neurons. Like DOI, classical psychedelics from the tryptamine and ergoline families also promote dendritogenesis and spinogenesis in cultures of cortical neurons. This enhanced spine growth might be associated with synaptogenesis, as evidenced by an increase in the overlap of presynaptic and postsynaptic puncta (Ly et al., 2018). These neuroplasticity effects are blocked by cotreatment with the 5-HT2R antagonist ketanserin and likely involve a TrkB- and mTOR-dependent mechanism (Ly et al., 2018).

In vivo studies reveal that psychedelics promote dendritic growth and increase synaptic connections as well. A high dose of DMT (10 mg/kg) increases spine density on pyramidal neurons in the PFC of adult rats, which is accompanied by an increase in spontaneous EPSCs recorded ex vivo (Ly et al., 2018). DOI treatment (2 mg/kg) increases the density of stubby and thin, but not mushroom, spines on cortical neurons in the mouse frontal cortex; it also enhances LTP at synapses onto these neurons (de la Fuente Revenga et al., 2021). Taking advantage of transgenic mice expressing fluorescent proteins in cortical neurons and in vivo two-photon microscopy, recent studies have begun to study the effects of psychedelics on the dynamics of synaptic structures. A single dose of DOI (10 mg/kg) promotes dendritic spine formation on L5 pyramidal neurons in the mouse sensory cortex within 1 d without affecting spine elimination (Cameron et al., 2021). Similarly, psilocybin promotes spine formation in the PFC and significantly increases spine density (Shao et al., 2021). Psilocybin increases the head size of spines on cortical neurons (Shao et al., 2021) and the AMPA/NMDA ratio at synapses of the hippocampal CA1 pyramidal neurons (Hesselgrave et al., 2021), both suggesting an increase in synaptic strength. Ketamine also increases dendritic spine density in vivo (Phoumthipphavong et al., 2016; Pryazhnikov et al., 2018; Moda-Sava et al., 2019), restoring lost spines in stressed mice (Moda-Sava et al., 2019), and the patterned formation of new spine clusters is necessary for the long-lasting anti-depressant-like effects of ketamine (Moda-Sava et al., 2019).

Studies of the effects of nonhallucinogenic psychoplastogens on dendrites will be important for understanding differences in their effects on neural plasticity with those of hallucinogenic psychedelics. TBG, a nonhallucinogenic, noncardiotoxic analog of ibogaine and 5-MeO-DMT, increases the complexity of dendritic arbors of cultured rat cortical neurons and increases dendritic spine formation in the mouse somatosensory cortex in vivo (Cameron et al., 2021). A more recent study shows that a single dose of TBG rescues the elevated anxiety, cognitive inflexibility, and sensory processing deficits in mice subjected to unpredictable mild stress. TBG also partially compensates for the unpredictable mild stress-induced dendritic spine loss, restores the electrophysiological properties of parvalbumin-expressing inhibitory interneurons, and normalizes baseline and sensory-evoked cortical neuronal activities (Lu et al., 2021). In a separate study, the psychedelic analog IHCH-7113 and several other 5-HT2AR β-arrestin–biased agonists also demonstrate antidepressant-like activity in mice without hallucinogenic effects (Cao et al., 2022), although their dendritic and synaptic effects remain to be elucidated.

Effects of psychedelics on microcircuitry

Since neuroplasticity is perhaps one of the most fundamental mechanisms of brain function, it is unsurprising that most psychotropic drugs induce some form of neuroplasticity in the brain. However, identifying the specific circuits impacted by plasticity-promoting drugs is essential for determining whether a compound is likely to be therapeutic or produce pathologic states. For example, the chronic administration of psychostimulants produces robust structural and functional changes in mesolimbic circuitry, changes that are thought to underlie the addictive properties of these compounds (Lüscher and Ungless, 2006; Kalivas and O'Brien, 2008). In contrast, classical psychedelics are not generally considered to be addictive (Carhart-Harris and Goodwin, 2017; Nichols et al., 2017) as animals will not readily self-administer these compounds (Fantegrossi et al., 2008). Indeed, psychedelics are being used for treating abuse of addictive substances, such as heroin, cocaine, methamphetamine, alcohol, and nicotine (Winkelman, 2014; Morgan et al., 2017). The difference between psychedelics and addictive drugs like some psychostimulants and opiates likely relates to the specific circuits they strengthen and weaken. More research into the differences between these classes of compounds is warranted.

Currently, the most widely prescribed psychedelic-related compound is ketamine, a noncompetitive antagonist of NMDARs that has been used safely at high doses as an anesthetic for decades, and is now FDA-approved for depression (intranasally delivered S-ketamine) (Aan Het Rot et al., 2012; Krystal et al., 2019). Low-dose ketamine is being studied for the treatment of heroin, cocaine, alcohol, and nicotine abuse, and for the treatment of anxiety, panic disorder, PTSD, agoraphobia, anorexia, bulimia, binge eating, suicide prevention, and others (Rasmussen, 2016; Ezquerra-Romano et al., 2018).

Ketamine's half-life in the body is ∼2 h (Autry et al., 2011), yet a single low-dose treatment elicits sustained (>1 week) antidepressant effects in patients (Berman et al., 2000; Zarate et al., 2006; Price et al., 2009), strongly suggesting it induces neuroplasticity (Duman, 2018). The ability of ketamine to promote ODP in the binocular primary visual cortex (bV1) has recently been reported (Grieco et al., 2020; Casarotto et al., 2021, Cannarozzo et al., 2022). Once a developmental time window or “critical period” for ODP is closed, the capacity for ODP is significantly reduced in visual cortex; this neurobiological feature presents scientists with a way to test the plasticity-promoting effects of drugs and their mechanisms for doing so in adult animals (Levi and Polat, 1996).

Clues about how ODP works in adults comes from studies of antidepressant treatments and other manipulations, which synergize with visual experience to reopen critical period-like plasticity (Solomon et al., 1957; Sale et al., 2007; Maya Vetencourt et al., 2008; Baroncelli et al., 2010; Montey et al., 2013; Kaneko and Stryker, 2014; Eaton et al., 2016; Greifzu et al., 2016; Gu et al., 2016; Hensch and Quinlan, 2018; Umemori et al., 2018; Steinzeig et al., 2019; Casarotto et al., 2021; Lesnikova et al., 2021). ODP may be promoted by reducing parvalbumin-expressing (PVs) interneuron activity in bV1 (Caillard et al., 2000; Donato et al., 2013; Reh et al., 2020). In cortical microcircuitry, PV cells, which are the fastest spiking neuron type in the brain, participate in feedforward inhibitory circuits, setting the very short time window in which excitatory inputs can be integrated (Hu et al., 2014). Sensory manipulations or drug treatments that inhibit PV cells may result in PV-mediated cortical disinhibition that creates a permissive state for ODP to occur in the presence of visual experience (Kuhlman et al., 2013; Gu et al., 2016; Sun et al., 2016; Grieco et al., 2020; Sadahiro et al., 2020).

As chronic high-dose ketamine treatment is used as a model for schizophrenia-like behavior in animal models and reduces PV interneuron function in this model (Frohlich and Van Horn, 2014; Jeevakumar et al., 2015; Koh et al., 2016), it was hypothesized that a single low-dose ketamine treatment might reduce PV interneuron activity therapeutically to promote cortical disinhibition and ODP. Low-dose ketamine treatment reduces L2/3 PV cell activity by reducing the strength of their L4 excitatory inputs, resulting in increases in excitatory neuron responses in L2/3 of bV1, consistent with a PV-mediated cortical disinhibitory mechanism (Grieco et al., 2020, 2021). Ketamine also promotes ODP and recovery from amblyopia in adult animals, and all of this is dependent on neuregulin-1 (NRG1) and ErbB4 signaling by PV cells (Grieco et al., 2020). NRG1-ErbB4 signaling is well known to be strongly restricted to PV cells and to play an important role in neurodevelopment, neuroplasticity, and schizophrenia (Corfas et al., 2004; Mei and Xiong, 2008). Similarly, TrkB activation in PV neurons induces adult ODP and TrkB is required for this effect (Winkel et al., 2021).

Many questions remain about the actions of other psychedelics or psychedelic-like compounds on microcircuits, including whether they share the common mechanism of PV-mediated cortical disinhibition (Reh et al., 2020) or whether they leverage very diverse microcircuit actions to potentially bring about the same psychedelic effect.

The effects of psychedelics on brain-wide circuits

Recently, Doss et al. (2022) reviewed the actions of classical psychedelics (LSD and psilocybin) on brain-wide circuitry, focusing on the several prominent models that have emerged in the literature. Although few studies have systematically characterized the actions of psychedelics on brain-wide circuits with regards to neuroplasticity, it is important to bring to the readers' attention the circuitry likely to be involved. One model of the action of psychedelics on the brain entails modulation of the cortico-striatal thalamo-cortical loop. In this formulation, 5-HT2AR agonizing psychedelics result in modulation of cortical and subcortical circuitry (Preller et al., 2019; Vollenweider and Preller, 2020), altering the flow of information in the brain via changes in how PFC L5 pyramidal neurons expressing 5-HT2AR regulate important thalamic nuclei (reticular nucleus, mediodorsal thalamus) (Inserra et al., 2021b). Other key circuit components of the cortico-striatal thalamo-cortical loop, such as ventral striatum, pallidum, sensory cortex, and posterior parietal cortex (PPC), are implicated in this process as well (Doss et al., 2022). Another model of psychedelic actions on brain-wide circuits is the “relaxed beliefs under psychedelics” model, whereby acute psychedelic treatment is thought to cause inhibition of top-down regulation of the brain by higher-order cortical regions, such as PFC and PPC, resulting in prediction errors and enormous increases in updates in “prior beliefs” (Carhart-Harris and Friston, 2019). The default mode network is strongly implicated in the “relaxed beliefs under psychedelics” as the PFC, PPC, and hippocampus strongly express 5-HT2ARs (Beliveau et al., 2017), suggesting that psychedelics could impair default mode network imposition on the brain, resulting in increases in possible expressible brain states (i.e., increased brain entropy). In a third model (the cortico-claustral-cortico model) of the actions of psychedelics on brain-wide circuitry, the enigmatic brain structure known as the claustrum, which also strongly expresses 5-HT2AR, is thought to play an important role (Crick and Koch, 2005; Mathur, 2014; Nichols, 2016).

Although not yet explored in detail, going forward it will be important to determine the effects of psychedelics on 5-HT2AR-expressing neurons and their associated circuits throughout the brain longitudinally and with regard to neuroplasticity.

Discussion

There has been considerable recent progress in understanding the mechanisms of plasticity induced by psychedelics. Research has just begun to determine the specific receptor interactions that may bring about their effects (e.g., 5-HT2AR, TrkB, NMDA, etc.), although the specific polypharmacological profile of each drug may endow it with unique properties. It will be clarifying to determine whether 5-HT2AR occupancy is a better predictor of psychedelic-induced subjective effects than in vitro measures of potency and efficacy of the different compounds. Furthermore, it will be very informative to determine whether there are different receptor occupancy thresholds for inducing plasticity and therapeutic effects versus hallucinogenic effects (e.g., low- vs high-dose DMT). Receptor occupancy thresholds should be considered for all potential targets of a given psychedelic to help determine whether multiple receptors are required for the subjective and/or therapeutic effects of each compound. Analogs that induce neuroplasticity but do not produce hallucinogenic effects will help to elucidate the receptor activation patterns essential for each of these effects (e.g., LSD vs ergoline analogs). These research directions and others will also help to determine the differences between fast-acting compounds and other compounds that induce plasticity following chronic administration (e.g., ketamine vs fluoxetine).

The determination of gene expression programs important for psychedelic-induced neuroplasticity is still in progress, with the ultimate goal of broadening our understanding of findings that psychedelics induce IEG expression (e.g., cFOS and Arc) and growth-factor expression (e.g., BDNF, Egr1/2). It is still unclear whether the effects of psychedelics on gene expression are cell type-specific (e.g., excitatory, inhibitory cells or various subtypes). Similarly, the subcellular (i.e., axon vs dendrites and their synapses) localization of early effects will need to be determined.

Studies of structural and functional plasticity in vivo for each psychedelic will be important. For structural plasticity, it will be critical to determine whether effects mostly involve dendrites or whether some psychedelics can affect axon plasticity. For functional plasticity, it will be important to determine whether effects mostly involve LTP or whether LTD could be equally as important. Changes in the excitability of neurons must be determined as well, although very few studies to date have investigated these with regard to psychedelics. As nearly every psychotropic drug induces neuroplasticity, of which there are many forms, often with opposing effects for certain variables, mapping each drug to a particular aspect of neuroplasticity mechanisms will be a major goal of the field (Fig. 3A). Ideally, plasticity mechanisms that are consistent across both in vivo and in vitro experiments will be identified to facilitate novel psychedelic-related drug discovery. It is not yet known whether psychoplastogens bring about their therapeutic effects using the same underlying form of neuroplasticity.

Figure 3.
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Figure 3.

Models of neuroplasticity. A, While various terms have been used to describe neuroplasticity in the brain (i.e., Hebbian plasticity, homeostatic plasticity, hyperplasticity, and others), there is an ongoing deficiency in the field for clearly communicating aspects of these processes meaningfully. Here we propose the use of four actions of neuroplasticity (α, Ω, Δ, and μ) within a particular frame of action (brain-wide, brain region, network, neurons, etc.) to communicate outcomes (maximize, minimize, contrast, normalize) for paths of activity in the brain. Experience modifies the nature of the outcomes. B, Examples of the use of a systematic nomenclature for describing neuroplasticity in the brain. Other examples (not shown) are “Drug induced plasticityΔ in active networks” and “Time-delayed plasticityμ in inhibitory neurons.”

For microcircuitry, it will be important to know what circuit motif elements are necessary for psychedelic effects (e.g., feedforward inhibitory circuits). On a brain-wide scale it will be interesting to determine whether specific circuits mediate the various therapeutic effects of psychedelics (e.g., antidepressant, anti-addictive, and anxiolytic) or if psychedelic effects are general across the brain. If different circuits are important for different therapeutic effects, such distinctions could be useful for developing circuit-specific psychoplastogens tailored to specific disease indications.

It will be important to determine the role of experience (i.e., sensory enrichment, deprivation) or other environmental associations (i.e., cues or context) in the therapeutic efficacy of psychedelics. The iPlasticity concept proposes that psychedelics may induce a permissive state for neuroplasticity that requires the stabilization of new connections guided by network activity produced by experience (Castrén, 2005). An example of this is the reopening of critical periods in adulthood which has been shown for a number of pharmacological manipulations, including fluoxetine (Maya Vetencourt et al., 2008; Karpova et al., 2011), ketamine (Grieco et al., 2020; Casarotto et al., 2021), R,R-HNK (Cannarozzo et al., 2022), and MDMA (Nardou et al., 2019). Drug treatment may induce iPlasticity in many brain regions, but the context-dependent use of circuits might stabilize active synapses and determine where iPlasticity brings about a long-term functional change in the network structure and function (Fig. 3B). This represents an interesting possibility as the intense preparation and support included into psychedelic sessions may contribute to the apparently more effective antidepressant response to psychedelics than to conventional antidepressants treatment that is typically not combined with any supporting therapy. If this is the case, then the clinical caretaker (i.e., the psychedelic guide) is a very important component of psychedelic therapy.

In conclusion, the field needs to grapple with the role of animal models in understanding the actions of psychedelics. There are likely aspects of the human condition that cannot be adequately captured by animal models. For example, the questions of whether or not the subjective experience induced by psychedelics is proportionate to the therapeutic value of psychedelics, or if nonhallucinogenic psychoplastogens are effective, are unlikely to be answered with animal models, and will require rigorous clinical studies. However, these models can serve as important starting points from which we can build a more comprehensive understanding of how psychedelics impact brain function.

Footnotes

  • This work was supported by US National Institutes of Health Grants DA052769 to X.X., R35 GM127102 to T.C.H., and Grants R01GM128997 and R01DA056365 to D.E.O.; Academy of Finland Grant 347358, the Sigrid Juselius Foundation, and the Jane & Aatos Erkko Foundation to E.C.; Innovation Fund Denmark Grant 4108-00004B and Lundbeck Foundation Grant R279-2018-1145 to G.M.K.; and National Institutes of Health Grants R01MH121848 and R01MH128217, and One Mind-COMPASS Rising Star Award to A.C.K.

  • D.E.O. is a co-founder and the chief innovation officer of Delix Therapeutics, Inc.; A.C.K. is on the board of scientific advisors for Empyrean Neuroscience and Freedom Biosciences. A.C.K. has consulted for Biohaven Pharmaceuticals. No-cost compounds were provided to A.C.K. for research by Usona Institute. The remaining authors declare no competing financial interests.

  • Correspondence should be addressed to Xiangmin Xu at xiangmix{at}hs.uci.edu

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References

  1. ↵
    1. Aan Het Rot M,
    2. Zarate CA Jr.,
    3. Charney DS,
    4. Mathew SJ
    (2012) Ketamine for depression: where do we go from here? Biol Psychiatry 72:537–547. doi:10.1016/j.biopsych.2012.05.003 pmid:22705040
    OpenUrlCrossRefPubMed
  2. ↵
    1. Abi-Saab WM,
    2. Bubser M,
    3. Roth RH,
    4. Deutch AY
    (1999) 5-HT2 receptor regulation of extracellular GABA levels in the prefrontal cortex. Neuropsychopharmacology 20:92–96. doi:10.1016/S0893-133X(98)00046-3 pmid:9885788
    OpenUrlCrossRefPubMed
  3. ↵
    1. Ali F,
    2. Gerhard DM,
    3. Sweasy K,
    4. Pothula S,
    5. Pittenger C,
    6. Duman RS,
    7. Kwan AC
    (2020) Ketamine disinhibits dendrites and enhances calcium signals in prefrontal dendritic spines. Nat Commun 11:72. doi:10.1038/s41467-019-13809-8 pmid:31911591
    OpenUrlCrossRefPubMed
  4. ↵
    1. Autry AE,
    2. Adachi M,
    3. Nosyreva E,
    4. Na ES,
    5. Los MF,
    6. Cheng PF,
    7. Kavalali ET,
    8. Monteggia LM
    (2011) NMDA receptor blockade at rest triggers rapid behavioural antidepressant responses. Nature 475:91–95. doi:10.1038/nature10130 pmid:21677641
    OpenUrlCrossRefPubMed
  5. ↵
    1. Banerjee AA,
    2. Vaidya VA
    (2020) Differential signaling signatures evoked by DOI versus lisuride stimulation of the 5-HT2A receptor. Biochem Biophys Res Commun 531:609–614. doi:10.1016/j.bbrc.2020.08.022 pmid:32814630
    OpenUrlCrossRefPubMed
  6. ↵
    1. Baroncelli L,
    2. Braschi C,
    3. Spolidoro M,
    4. Begenisic T,
    5. Sale A,
    6. Maffei L
    (2010) Nurturing brain plasticity: impact of environmental enrichment. Cell Death Differ 17:1092–1103. doi:10.1038/cdd.2009.193 pmid:20019745
    OpenUrlCrossRefPubMed
  7. ↵
    1. Barrett FS,
    2. Doss MK,
    3. Sepeda ND,
    4. Pekar JJ,
    5. Griffiths RR
    (2020) Emotions and brain function are altered up to one month after a single high dose of psilocybin. Sci Rep 10:2214. doi:10.1038/s41598-020-59282-y pmid:32042038
    OpenUrlCrossRefPubMed
  8. ↵
    1. Barrett FS,
    2. Johnson MW,
    3. Griffiths RR
    (2015) Validation of the revised Mystical Experience Questionnaire in experimental sessions with psilocybin. J Psychopharmacol 29:1182–1190. doi:10.1177/0269881115609019 pmid:26442957
    OpenUrlCrossRefPubMed
  9. ↵
    1. Beliveau V,
    2. Ganz M,
    3. Feng L,
    4. Ozenne B,
    5. Højgaard L,
    6. Fisher PM,
    7. Svarer C,
    8. Greve DN,
    9. Knudsen GM
    (2017) A high-resolution in vivo atlas of the human brain's serotonin system. J Neurosci 37:120–128. doi:10.1523/JNEUROSCI.2830-16.2016 pmid:28053035
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Benekareddy M,
    2. Nair AR,
    3. Dias BG,
    4. Suri D,
    5. Autry AE,
    6. Monteggia LM,
    7. Vaidya VA
    (2013) Induction of the plasticity-associated immediate early gene Arc by stress and hallucinogens: role of brain-derived neurotrophic factor. Int J Neuropsychopharmacol 16:405–415. doi:10.1017/S1461145712000168 pmid:22404904
    OpenUrlCrossRefPubMed
  11. ↵
    1. Berman RM,
    2. Cappiello A,
    3. Anand A,
    4. Oren DA,
    5. Heninger GR,
    6. Charney DS,
    7. Krystal JH
    (2000) Antidepressant effects of ketamine in depressed patients. Biol Psychiatry 47:351–354. doi:10.1016/S0006-3223(99)00230-9 pmid:10686270
    OpenUrlCrossRefPubMed
  12. ↵
    1. Caillard O,
    2. Moreno H,
    3. Schwaller B,
    4. Llano I,
    5. Celio MR,
    6. Marty A
    (2000) Role of the calcium-binding protein parvalbumin in short-term synaptic plasticity. Proc Natl Acad Sci USA 97:13372–13377. doi:10.1073/pnas.230362997 pmid:11069288
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Cameron LP,
    2. Olson DE
    (2022) The evolution of the psychedelic revolution. Neuropsychopharmacology 47:413–414. doi:10.1038/s41386-021-01150-y pmid:34400786
    OpenUrlCrossRefPubMed
  14. ↵
    1. Cameron LP, et al
    . (2021) A non-hallucinogenic psychedelic analogue with therapeutic potential. Nature 589:474–479. doi:10.1038/s41586-020-3008-z pmid:33299186
    OpenUrlCrossRefPubMed
  15. ↵
    1. Cannarozzo C,
    2. Rubiolo A,
    3. Casarotto P,
    4. Castrén E
    (2022) Ketamine and its metabolite 2R,6R-hydroxynorketamine promote ocular dominance plasticity and release TRKB from inhibitory control without changing perineuronal nets enwrapping parvalbumin interneurons. bioRxiv 487292. doi:10.1101/2022.04.06.487292 doi:10.1101/2022.04.06.487292.
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Cao D,
    2. Yu J,
    3. Wang H,
    4. Luo Z,
    5. Liu X,
    6. He L,
    7. Qi J,
    8. Fan L,
    9. Tang L,
    10. Chen Z,
    11. Li J,
    12. Cheng J,
    13. Wang S
    (2022) Structure-based discovery of nonhallucinogenic psychedelic analogs. Science 375:403–411. doi:10.1126/science.abl8615 pmid:35084960
    OpenUrlCrossRefPubMed
  17. ↵
    1. Carhart-Harris RL,
    2. Friston K
    (2019) REBUS and the anarchic brain: toward a unified model of the brain action of psychedelics. Pharmacol Rev 71:316–344. doi:10.1124/pr.118.017160 pmid:31221820
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Carhart-Harris RL,
    2. Goodwin GM
    (2017) The therapeutic potential of psychedelic drugs: past, present, and future. Neuropsychopharmacology 42:2105–2113. doi:10.1038/npp.2017.84 pmid:28443617
    OpenUrlCrossRefPubMed
  19. ↵
    1. Casarotto PC, et al
    . (2021) Antidepressant drugs act by directly binding to TRKB neurotrophin receptors. Cell 184:1299–1313.e19. doi:10.1016/j.cell.2021.01.034 pmid:33606976
    OpenUrlCrossRefPubMed
  20. ↵
    1. Castrén E
    (2005) Is mood chemistry? Nat Rev Neurosci 6:241–246. doi:10.1038/nrn1629 pmid:15738959
    OpenUrlCrossRefPubMed
  21. ↵
    1. Castrén E
    (2013) Neuronal network plasticity and recovery from depression. JAMA Psychiatry 70:983–989. doi:10.1001/jamapsychiatry.2013.1 pmid:23842648
    OpenUrlCrossRefPubMed
  22. ↵
    1. Corfas G,
    2. Roy K,
    3. Buxbaum JD
    (2004) Neuregulin 1-erbB signaling and the molecular/cellular basis of schizophrenia. Nat Neurosci 7:575–580. doi:10.1038/nn1258 pmid:15162166
    OpenUrlCrossRefPubMed
  23. ↵
    1. Crick FC,
    2. Koch C
    (2005) What is the function of the claustrum? Philos Trans R Soc Lond B Biol Sci 360:1271–1279. doi:10.1098/rstb.2005.1661 pmid:16147522
    OpenUrlCrossRefPubMed
  24. ↵
    1. Davoudian PA,
    2. Shao LX,
    3. Kwan AC
    (2022) Shared and distinct brain regions targeted for immediate early gene expression by ketamine and psilocybin. biorxiv.
  25. ↵
    1. de Almeida RN,
    2. de Menezes Galvão CM,
    3. da Silva FS,
    4. Dos Santos Silva EA,
    5. Palhano-Fontes F,
    6. Maia-de-Oliveira JP,
    7. de Araújo LS,
    8. Lobão-Soares B,
    9. Galvão-Coelho NL
    (2019) Modulation of serum brain-derived neurotrophic factor by a single dose of ayahuasca: observation from a randomized controlled trial. Front Psychol 10:1234. doi:10.3389/fpsyg.2019.01234 pmid:31231276
    OpenUrlCrossRefPubMed
  26. ↵
    1. de la Fuente Revenga M,
    2. Zhu B,
    3. Guevara CA,
    4. Naler LB,
    5. Saunders JM,
    6. Zhou Z,
    7. Toneatti R,
    8. Sierra S,
    9. Wolstenholme JT,
    10. Beardsley PM,
    11. Huntley GW,
    12. Lu C,
    13. González-Maeso J
    (2021) Prolonged epigenomic and synaptic plasticity alterations following single exposure to a psychedelic in mice. Cell Rep 37:109836. doi:10.1016/j.celrep.2021.109836 pmid:34686347
    OpenUrlCrossRefPubMed
  27. ↵
    1. de Vos CMH,
    2. Mason NL,
    3. Kuypers KPC
    (2021) Psychedelics and Neuroplasticity: A Systematic Review Unraveling the Biological Underpinnings of Psychedelics. Front Psychiatry 12:724606.
    OpenUrl
  28. ↵
    1. Donato F,
    2. Rompani SB,
    3. Caroni P
    (2013) Parvalbumin-expressing basket-cell network plasticity induced by experience regulates adult learning. Nature 504:272–276. doi:10.1038/nature12866 pmid:24336286
    OpenUrlCrossRefPubMed
  29. ↵
    1. Donovan LL,
    2. Johansen JV,
    3. Ros NF,
    4. Jaberi E,
    5. Linnet K,
    6. Johansen SS,
    7. Ozenne B,
    8. Issazadeh-Navikas S,
    9. Hansen HD,
    10. Knudsen GM
    (2021) Effects of a single dose of psilocybin on behaviour, brain 5-HT2A receptor occupancy and gene expression in the pig. Eur Neuropsychopharmacol 42:1–11. doi:10.1016/j.euroneuro.2020.11.013 pmid:33288378
    OpenUrlCrossRefPubMed
  30. ↵
    1. Dos Santos RG,
    2. Hallak JE
    (2020) Therapeutic use of serotoninergic hallucinogens: a review of the evidence and of the biological and psychological mechanisms. Neurosci Biobehav Rev 108:423–434. doi:10.1016/j.neubiorev.2019.12.001 pmid:31809772
    OpenUrlCrossRefPubMed
  31. ↵
    1. Doss MK,
    2. Madden MB,
    3. Gaddis A,
    4. Nebel MB,
    5. Griffiths RR,
    6. Mathur BN,
    7. Barrett FS
    (2022) Models of psychedelic drug action: modulation of cortical-subcortical circuits. Brain 145:441–456. doi:10.1093/brain/awab406
    OpenUrlCrossRef
  32. ↵
    1. Duman RS
    (2018) The dazzling promise of ketamine. Cerebrum 2018:4–18.
    OpenUrl
  33. ↵
    1. Eaton NC,
    2. Sheehan HM,
    3. Quinlan EM
    (2016) Optimization of visual training for full recovery from severe amblyopia in adults. Learn Mem 23:99–103. doi:10.1101/lm.040295.115 pmid:26787781
    OpenUrlAbstract/FREE Full Text
  34. ↵
    1. Erdtmann-Vourliotis M,
    2. Mayer P,
    3. Riechert U,
    4. Hollt V
    (1999) Acute injection of drugs with low addictive potential (delta(9)-tetrahydrocannabinol, 3,4-methylenedioxymethamphetamine, lysergic acid diamide) causes a much higher c-fos expression in limbic brain areas than highly addicting drugs (cocaine and morphine). Brain Res Mol Brain Res 71:313–324. doi:10.1016/S0169-328X(99)00207-7
    OpenUrlCrossRefPubMed
  35. ↵
    1. Erritzoe D,
    2. Roseman L,
    3. Nour M,
    4. MacLean K,
    5. Kaelen M,
    6. Nutt D,
    7. Carhart-Harris R
    (2018) Effects of psilocybin therapy on personality structure. Acta Psychiatr Scand 138:368–378. doi:10.1111/acps.12904 pmid:29923178
    OpenUrlCrossRefPubMed
  36. ↵
    1. Ezquerra-Romano I,
    2. Lawn W,
    3. Krupitsky E,
    4. Morgan CJ
    (2018) Ketamine for the treatment of addiction: evidence and potential mechanisms. Neuropharmacology 142:72–82. doi:10.1016/j.neuropharm.2018.01.017 pmid:29339294
    OpenUrlCrossRefPubMed
  37. ↵
    1. Fantegrossi WE,
    2. Murnane KS,
    3. Reissig CJ
    (2008) The behavioral pharmacology of hallucinogens. Biochem Pharmacol 75:17–33. doi:10.1016/j.bcp.2007.07.018 pmid:17977517
    OpenUrlCrossRefPubMed
  38. ↵
    1. Forrest MP,
    2. Parnell E,
    3. Penzes P
    (2018) Dendritic structural plasticity and neuropsychiatric disease. Nat Rev Neurosci 19:215–234. doi:10.1038/nrn.2018.16 pmid:29545546
    OpenUrlCrossRefPubMed
  39. ↵
    1. Frankel PS,
    2. Cunningham KA
    (2002) The hallucinogen d-lysergic acid diethylamide (d-LSD) induces the immediate-early gene c-Fos in rat forebrain. Brain Res 958:251–260. doi:10.1016/S0006-8993(02)03548-5
    OpenUrlCrossRefPubMed
  40. ↵
    1. Frohlich J,
    2. Van Horn JD
    (2014) Reviewing the ketamine model for schizophrenia. J Psychopharmacol 28:287–302. doi:10.1177/0269881113512909 pmid:24257811
    OpenUrlCrossRefPubMed
  41. ↵
    1. Garcia-Romeu A,
    2. Griffiths RR,
    3. Johnson MW
    (2014) Psilocybin-occasioned mystical experiences in the treatment of tobacco addiction. Curr Drug Abuse Rev 7:157–164. doi:10.2174/1874473708666150107121331 pmid:25563443
    OpenUrlCrossRefPubMed
  42. ↵
    1. González-Maeso J,
    2. Yuen T,
    3. Ebersole BJ,
    4. Wurmbach E,
    5. Lira A,
    6. Zhou M,
    7. Weisstaub N,
    8. Hen R,
    9. Gingrich JA,
    10. Sealfon SC
    (2003) Transcriptome fingerprints distinguish hallucinogenic and nonhallucinogenic 5-hydroxytryptamine 2A receptor agonist effects in mouse somatosensory cortex. J Neurosci 23:8836–8843. doi:10.1523/JNEUROSCI.23-26-08836.2003 pmid:14523084
    OpenUrlAbstract/FREE Full Text
  43. ↵
    1. González-Maeso J,
    2. Weisstaub NV,
    3. Zhou M,
    4. Chan P,
    5. Ivic L,
    6. Ang R,
    7. Lira A,
    8. Bradley-Moore M,
    9. Ge Y,
    10. Zhou Q,
    11. Sealfon SC,
    12. Gingrich JA
    (2007) Hallucinogens recruit specific cortical 5-HT(2A) receptor-mediated signaling pathways to affect behavior. Neuron 53:439–452. doi:10.1016/j.neuron.2007.01.008 pmid:17270739
    OpenUrlCrossRefPubMed
  44. ↵
    1. Goto Y,
    2. Yang CR,
    3. Otani S
    (2010) Functional and dysfunctional synaptic plasticity in prefrontal cortex: roles in psychiatric disorders. Biol Psychiatry 67:199–207. doi:10.1016/j.biopsych.2009.08.026 pmid:19833323
    OpenUrlCrossRefPubMed
  45. ↵
    1. Greifzu F,
    2. Kalogeraki E,
    3. Lowel S
    (2016) Environmental enrichment preserved lifelong ocular dominance plasticity, but did not improve visual abilities. Neurobiol Aging 41:130–137. doi:10.1016/j.neurobiolaging.2016.02.014 pmid:27103526
    OpenUrlCrossRefPubMed
  46. ↵
    1. Gresch PJ,
    2. Strickland LV,
    3. Sanders-Bush E
    (2002) Lysergic acid diethylamide-induced Fos expression in rat brain: role of serotonin-2A receptors. Neuroscience 114:707–713. doi:10.1016/S0306-4522(02)00349-4 pmid:12220572
    OpenUrlCrossRefPubMed
  47. ↵
    1. Grieco SF,
    2. Qiao X,
    3. Zheng X,
    4. Liu Y,
    5. Chen L,
    6. Zhang H,
    7. Yu Z,
    8. Gavornik JP,
    9. Lai C,
    10. Gandhi SP,
    11. Holmes TC,
    12. Xu X
    (2020) Subanesthetic ketamine reactivates adult cortical plasticity to restore vision from amblyopia. Curr Biol 30:3591–3603.e8. doi:10.1016/j.cub.2020.07.008 pmid:32822611
    OpenUrlCrossRefPubMed
  48. ↵
    1. Grieco SF,
    2. Qiao X,
    3. Johnston KG,
    4. Chen L,
    5. Nelson RR,
    6. Lai C,
    7. Holmes TC,
    8. Xu X
    (2021) Neuregulin signaling mediates the acute and sustained antidepressant effects of subanesthetic ketamine. Transl Psychiatry 11:144. doi:10.1038/s41398-021-01255-4 pmid:33627623
    OpenUrlCrossRefPubMed
  49. ↵
    1. Griffiths RR,
    2. Johnson MW,
    3. Richards WA,
    4. Richards BD,
    5. McCann U,
    6. Jesse R
    (2011) Psilocybin occasioned mystical-type experiences: immediate and persisting dose-related effects. Psychopharmacology (Berl) 218:649–665. doi:10.1007/s00213-011-2358-5 pmid:21674151
    OpenUrlCrossRefPubMed
  50. ↵
    1. Griffiths RR,
    2. Johnson MW,
    3. Carducci MA,
    4. Umbricht A,
    5. Richards WA,
    6. Richards BD,
    7. Cosimano MP,
    8. Klinedinst MA
    (2016) Psilocybin produces substantial and sustained decreases in depression and anxiety in patients with life-threatening cancer: a randomized double-blind trial. J Psychopharmacol 30:1181–1197. doi:10.1177/0269881116675513 pmid:27909165
    OpenUrlCrossRefPubMed
  51. ↵
    1. Gu Y,
    2. Tran T,
    3. Murase S,
    4. Borrell A,
    5. Kirkwood A,
    6. Quinlan EM
    (2016) Neuregulin-dependent regulation of fast-spiking interneuron excitability controls the timing of the critical period. J Neurosci 36:10285–10295. doi:10.1523/JNEUROSCI.4242-15.2016 pmid:27707966
    OpenUrlAbstract/FREE Full Text
  52. ↵
    1. Hensch TK,
    2. Quinlan EM
    (2018) Critical periods in amblyopia. Vis Neurosci 35:E014. doi:10.1017/S0952523817000219 pmid:29905116
    OpenUrlCrossRefPubMed
  53. ↵
    1. Hesselgrave N,
    2. Troppoli TA,
    3. Wulff AB,
    4. Cole AB,
    5. Thompson SM
    (2021) Harnessing psilocybin: antidepressant-like behavioral and synaptic actions of psilocybin are independent of 5-HT2R activation in mice. Proc Natl Acad Sci USA 118:e2022489118.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    1. Highland JN,
    2. Zanos P,
    3. Riggs LM,
    4. Georgiou P,
    5. Clark SM,
    6. Morris PJ,
    7. Moaddel R,
    8. Thomas CJ,
    9. Zarate CA Jr.,
    10. Pereira EF,
    11. Gould TD
    (2021) Hydroxynorketamines: pharmacology and potential therapeutic applications. Pharmacol Rev 73:763–791. doi:10.1124/pharmrev.120.000149 pmid:33674359
    OpenUrlAbstract/FREE Full Text
  55. ↵
    1. Holze F,
    2. Vizeli P,
    3. Ley L,
    4. Müller F,
    5. Dolder P,
    6. Stocker M,
    7. Duthaler U,
    8. Varghese N,
    9. Eckert A,
    10. Borgwardt S,
    11. Liechti ME
    (2021) Acute dose-dependent effects of lysergic acid diethylamide in a double-blind placebo-controlled study in healthy subjects. Neuropsychopharmacology 46:537–544. doi:10.1038/s41386-020-00883-6 pmid:33059356
    OpenUrlCrossRefPubMed
  56. ↵
    1. Holze F,
    2. Ley L,
    3. Müller F,
    4. Becker AM,
    5. Straumann I,
    6. Vizeli P,
    7. Kuehne SS,
    8. Roder MA,
    9. Duthaler U,
    10. Kolaczynska KE,
    11. Varghese N,
    12. Eckert A,
    13. Liechti ME
    (2022) Direct comparison of the acute effects of lysergic acid diethylamide and psilocybin in a double-blind placebo-controlled study in healthy subjects. Neuropsychopharmacology 47:1180–1187. doi:10.1038/s41386-022-01297-2 pmid:35217796
    OpenUrlCrossRefPubMed
  57. ↵
    1. Hu H,
    2. Gan J,
    3. Jonas P
    (2014) Interneurons. Fast-spiking, parvalbumin(+) GABAergic interneurons: from cellular design to microcircuit function. Science 345:1255263. doi:10.1126/science.1255263 pmid:25082707
    OpenUrlAbstract/FREE Full Text
  58. ↵
    1. Hübener M,
    2. Bonhoeffer T
    (2014) Neuronal plasticity: beyond the critical period. Cell 159:727–737. doi:10.1016/j.cell.2014.10.035 pmid:25417151
    OpenUrlCrossRefPubMed
  59. ↵
    1. Hutten NR,
    2. Mason NL,
    3. Dolder PC,
    4. Theunissen EL,
    5. Holze F,
    6. Liechti ME,
    7. Varghese N,
    8. Eckert A,
    9. Feilding A,
    10. Ramaekers JG,
    11. Kuypers KP
    (2021) Low doses of LSD acutely increase BDNF blood plasma levels in healthy volunteers. ACS Pharmacol Transl Sci 4:461–466. doi:10.1021/acsptsci.0c00099 pmid:33860175
    OpenUrlCrossRefPubMed
  60. ↵
    1. Inserra A,
    2. De Gregorio D,
    3. Gobbi G
    (2021a) Psychedelics in psychiatry: neuroplastic, immunomodulatory, and neurotransmitter mechanisms. Pharmacol Rev 73:202–277. doi:10.1124/pharmrev.120.000056 pmid:33328244
    OpenUrlCrossRefPubMed
  61. ↵
    1. Inserra A,
    2. De Gregorio D,
    3. Rezai T,
    4. Lopez-Canul MG,
    5. Comai S,
    6. Gobbi G
    (2021b) Lysergic acid diethylamide differentially modulates the reticular thalamus, mediodorsal thalamus, and infralimbic prefrontal cortex: an in vivo electrophysiology study in male mice. J Psychopharmacol 35:469–482. doi:10.1177/0269881121991569 pmid:33645311
    OpenUrlCrossRefPubMed
  62. ↵
    1. Jakab RL,
    2. Goldman-Rakic PS
    (1998) 5-Hydroxytryptamine2A serotonin receptors in the primate cerebral cortex: possible site of action of hallucinogenic and antipsychotic drugs in pyramidal cell apical dendrites. Proc Natl Acad Sci USA 95:735–740. doi:10.1073/pnas.95.2.735 pmid:9435262
    OpenUrlAbstract/FREE Full Text
  63. ↵
    1. Jaster AM,
    2. de la Fuente Revenga M,
    3. González-Maeso J
    (2021) Molecular targets of psychedelic-induced plasticity. J Neurochem 162:80–88.
    OpenUrl
  64. ↵
    1. Jeevakumar V,
    2. Driskill C,
    3. Paine A,
    4. Sobhanian M,
    5. Vakil H,
    6. Morris B,
    7. Ramos J,
    8. Kroener S
    (2015) Ketamine administration during the second postnatal week induces enduring schizophrenia-like behavioral symptoms and reduces parvalbumin expression in the medial prefrontal cortex of adult mice. Behav Brain Res 282:165–175. doi:10.1016/j.bbr.2015.01.010 pmid:25591475
    OpenUrlCrossRefPubMed
  65. ↵
    1. Jefsen OH,
    2. Elfving B,
    3. Wegener G,
    4. Muller HK
    (2021) Transcriptional regulation in the rat prefrontal cortex and hippocampus after a single administration of psilocybin. J Psychopharmacol 35:483–493. doi:10.1177/0269881120959614 pmid:33143539
    OpenUrlCrossRefPubMed
  66. ↵
    1. Jones KA,
    2. Srivastava DP,
    3. Allen JA,
    4. Strachan RT,
    5. Roth BL,
    6. Penzes P
    (2009) Rapid modulation of spine morphology by the 5-HT2A serotonin receptor through kalirin-7 signaling. Proc Natl Acad Sci USA 106:19575–19580. doi:10.1073/pnas.0905884106 pmid:19889983
    OpenUrlAbstract/FREE Full Text
  67. ↵
    1. Kadriu B,
    2. Greenwald M,
    3. Henter ID,
    4. Gilbert JR,
    5. Kraus C,
    6. Park LT,
    7. Zarate CA
    (2021) Ketamine and serotonergic psychedelics: common mechanisms underlying the effects of rapid-acting antidepressants. Int J Neuropsychopharmacol 24:8–21. doi:10.1093/ijnp/pyaa087 pmid:33252694
    OpenUrlCrossRefPubMed
  68. ↵
    1. Kalivas PW,
    2. O'Brien C
    (2008) Drug addiction as a pathology of staged neuroplasticity. Neuropsychopharmacology 33:166–180. doi:10.1038/sj.npp.1301564 pmid:17805308
    OpenUrlCrossRefPubMed
  69. ↵
    1. Kaneko M,
    2. Stryker MP
    (2014) Sensory experience during locomotion promotes recovery of function in adult visual cortex. Elife 3:e02798. doi:10.7554/eLife.02798 pmid:24970838
    OpenUrlCrossRefPubMed
  70. ↵
    1. Karpova NN,
    2. Pickenhagen A,
    3. Lindholm J,
    4. Tiraboschi E,
    5. Kulesskaya N,
    6. Agústsdóttir A,
    7. Antila H,
    8. Popova D,
    9. Akamine Y,
    10. Bahi A,
    11. Sullivan R,
    12. Hen R,
    13. Drew LJ,
    14. Castrén E
    (2011) Fear erasure in mice requires synergy between antidepressant drugs and extinction training. Science 334:1731–1734. doi:10.1126/science.1214592 pmid:22194582
    OpenUrlAbstract/FREE Full Text
  71. ↵
    1. Klein AB,
    2. Williamson R,
    3. Santini MA,
    4. Clemmensen C,
    5. Ettrup A,
    6. Rios M,
    7. Knudsen GM,
    8. Aznar S
    (2011) Blood BDNF concentrations reflect brain-tissue BDNF levels across species. Int J Neuropsychopharmacol 14:347–353. doi:10.1017/S1461145710000738 pmid:20604989
    OpenUrlCrossRefPubMed
  72. ↵
    1. Knott GW,
    2. Holtmaat A,
    3. Wilbrecht L,
    4. Welker E,
    5. Svoboda K
    (2006) Spine growth precedes synapse formation in the adult neocortex in vivo. Nat Neurosci 9:1117–1124. doi:10.1038/nn1747 pmid:16892056
    OpenUrlCrossRefPubMed
  73. ↵
    1. Knudsen GM
    (2022) Sustained effects of single doses of classical psychedelics in humans. Neuropsychopharmacology Advance online publication. Retrieved Jun 21, 2022. doi:10.1038/s41386-022-01361-x. doi:10.1038/s41386-022-01361-x
    OpenUrlCrossRef
  74. ↵
    1. Koh MT,
    2. Shao Y,
    3. Sherwood A,
    4. Smith DR
    (2016) Impaired hippocampal-dependent memory and reduced parvalbumin-positive interneurons in a ketamine mouse model of schizophrenia. Schizophr Res 171:187–194. doi:10.1016/j.schres.2016.01.023 pmid:26811256
    OpenUrlCrossRefPubMed
  75. ↵
    1. Krystal JH,
    2. Abdallah CG,
    3. Sanacora G,
    4. Charney DS,
    5. Duman RS
    (2019) Ketamine: a paradigm shift for depression research and treatment. Neuron 101:774–778. doi:10.1016/j.neuron.2019.02.005 pmid:30844397
    OpenUrlCrossRefPubMed
  76. ↵
    1. Kuhlman SJ,
    2. Olivas ND,
    3. Tring E,
    4. Ikrar T,
    5. Xu X,
    6. Trachtenberg JT
    (2013) A disinhibitory microcircuit initiates critical-period plasticity in the visual cortex. Nature 501:543–546. doi:10.1038/nature12485 pmid:23975100
    OpenUrlCrossRefPubMed
  77. ↵
    1. Leslie RA,
    2. Moorman JM,
    3. Coulson A,
    4. Grahame-Smith DG
    (1993) Serotonin2/1C receptor activation causes a localized expression of the immediate-early gene c-fos in rat brain: evidence for involvement of dorsal raphe nucleus projection fibres. Neuroscience 53:457–463. doi:10.1016/0306-4522(93)90209-X pmid:8492912
    OpenUrlCrossRefPubMed
  78. ↵
    1. Lesnikova A,
    2. Casarotto PC,
    3. Fred SM,
    4. Voipio M,
    5. Winkel F,
    6. Steinzeig A,
    7. Antila H,
    8. Umemori J,
    9. Biojone C,
    10. Castren E
    (2021) Chondroitinase and antidepressants promote plasticity by releasing TRKB from dephosphorylating control of PTPsigma in parvalbumin neurons. J Neurosci 41:972–980. doi:10.1523/JNEUROSCI.2228-20.2020 pmid:33293360
    OpenUrlAbstract/FREE Full Text
  79. ↵
    1. Levi DM,
    2. Polat U
    (1996) Neural plasticity in adults with amblyopia. Proc Natl Acad Sci USA 93:6830–6834. doi:10.1073/pnas.93.13.6830 pmid:8692904
    OpenUrlAbstract/FREE Full Text
  80. ↵
    1. Li N,
    2. Lee B,
    3. Liu RJ,
    4. Banasr M,
    5. Dwyer JM,
    6. Iwata M,
    7. Li XY,
    8. Aghajanian G,
    9. Duman RS
    (2010) mTOR-dependent synapse formation underlies the rapid antidepressant effects of NMDA antagonists. Science 329:959–964. doi:10.1126/science.1190287 pmid:20724638
    OpenUrlAbstract/FREE Full Text
  81. ↵
    1. Lopez JP, et al
    . (2022) Ketamine exerts its sustained antidepressant effects via cell-type-specific regulation of Kcnq2. Neuron 110:2283–2298.e9. doi:10.1016/j.neuron.2022.05.001
    OpenUrlCrossRef
  82. ↵
    1. Lu J,
    2. Tjia M,
    3. Mullen B,
    4. Cao B,
    5. Lukasiewicz K,
    6. Shah-Morales S,
    7. Weiser S,
    8. Cameron LP,
    9. Olson DE,
    10. Chen L,
    11. Zuo Y
    (2021) An analog of psychedelics restores functional neural circuits disrupted by unpredictable stress. Mol Psychiatry 26:6237–6252. doi:10.1038/s41380-021-01159-1 pmid:34035476
    OpenUrlCrossRefPubMed
  83. ↵
    1. Lukasiewicz K,
    2. Baker JJ,
    3. Zuo Y,
    4. Lu J
    (2021) Serotonergic Psychedelics in Neural Plasticity. Front Mol Neurosci 14:748359.
    OpenUrl
  84. ↵
    1. Lüscher C,
    2. Ungless MA
    (2006) The mechanistic classification of addictive drugs. PLoS Med 3:e437. doi:10.1371/journal.pmed.0030437 pmid:17105338
    OpenUrlCrossRefPubMed
  85. ↵
    1. Ly C,
    2. Greb AC,
    3. Cameron LP,
    4. Wong JM,
    5. Barragan EV,
    6. Wilson PC,
    7. Burbach KF,
    8. Soltanzadeh Zarandi S,
    9. Sood A,
    10. Paddy MR,
    11. Duim WC,
    12. Dennis MY,
    13. McAllister AK,
    14. Ori-McKenney KM,
    15. Gray JA,
    16. Olson DE
    (2018) Psychedelics promote structural and functional neural plasticity. Cell Rep 23:3170–3182. doi:10.1016/j.celrep.2018.05.022 pmid:29898390
    OpenUrlCrossRefPubMed
  86. ↵
    1. Ly C,
    2. Greb AC,
    3. Vargas MV,
    4. Duim WC,
    5. Grodzki AC,
    6. Lein PJ,
    7. Olson DE
    (2021) Transient stimulation with psychoplastogens is sufficient to initiate neuronal growth. ACS Pharmacol Transl Sci 4:452–460. doi:10.1021/acsptsci.0c00065 pmid:33860174
    OpenUrlCrossRefPubMed
  87. ↵
    1. MacLean KA,
    2. Johnson MW,
    3. Griffiths RR
    (2011) Mystical experiences occasioned by the hallucinogen psilocybin lead to increases in the personality domain of openness. J Psychopharmacol 25:1453–1461. doi:10.1177/0269881111420188 pmid:21956378
    OpenUrlCrossRefPubMed
  88. ↵
    1. Madsen MK,
    2. Fisher PM,
    3. Burmester D,
    4. Dyssegaard A,
    5. Stenbæk DS,
    6. Kristiansen S,
    7. Johansen SS,
    8. Lehel S,
    9. Linnet K,
    10. Svarer C,
    11. Erritzoe D,
    12. Ozenne B,
    13. Knudsen GM
    (2019) Psychedelic effects of psilocybin correlate with serotonin 2A receptor occupancy and plasma psilocin levels. Neuropsychopharmacology 44:1328–1334. doi:10.1038/s41386-019-0324-9 pmid:30685771
    OpenUrlCrossRefPubMed
  89. ↵
    1. Madsen MK,
    2. Stenbæk DS,
    3. Arvidsson A,
    4. Armand S,
    5. Marstrand-Joergensen MR,
    6. Johansen SS,
    7. Linnet K,
    8. Ozenne B,
    9. Knudsen GM,
    10. Fisher PM
    (2021) Psilocybin-induced changes in brain network integrity and segregation correlate with plasma psilocin level and psychedelic experience. Eur Neuropsychopharmacol 50:121–132. doi:10.1016/j.euroneuro.2021.06.001 pmid:34246868
    OpenUrlCrossRefPubMed
  90. ↵
    1. Martin DA,
    2. Nichols CD
    (2016) Psychedelics recruit multiple cellular types and produce complex transcriptional responses within the brain. EBioMedicine 11:262–277. doi:10.1016/j.ebiom.2016.08.049 pmid:27649637
    OpenUrlCrossRefPubMed
  91. ↵
    1. Mason NL,
    2. Kuypers KP,
    3. Müller F,
    4. Reckweg J,
    5. Tse DH,
    6. Toennes SW,
    7. Hutten NR,
    8. Jansen JF,
    9. Stiers P,
    10. Feilding A,
    11. Ramaekers JG
    (2020) Me, myself, bye: regional alterations in glutamate and the experience of ego dissolution with psilocybin. Neuropsychopharmacology 45:2003–2011. doi:10.1038/s41386-020-0718-8 pmid:32446245
    OpenUrlCrossRefPubMed
  92. ↵
    1. Mathur BN
    (2014) The claustrum in review. Front Syst Neurosci 8:48. doi:10.3389/fnsys.2014.00048 pmid:24772070
    OpenUrlCrossRefPubMed
  93. ↵
    1. Maya Vetencourt JF,
    2. Sale A,
    3. Viegi A,
    4. Baroncelli L,
    5. De Pasquale R,
    6. O'Leary OF,
    7. Castrén E,
    8. Maffei L
    (2008) The antidepressant fluoxetine restores plasticity in the adult visual cortex. Science 320:385–388. doi:10.1126/science.1150516 pmid:18420937
    OpenUrlAbstract/FREE Full Text
  94. ↵
    1. McCulloch DE,
    2. Madsen MK,
    3. Stenbaek DS,
    4. Kristiansen S,
    5. Ozenne B,
    6. Jensen PS,
    7. Knudsen GM,
    8. Fisher PM
    (2022) Lasting effects of a single psilocybin dose on resting-state functional connectivity in healthy individuals. J Psychopharmacol 36:74–84. doi:10.1177/02698811211026454 pmid:34189985
    OpenUrlCrossRefPubMed
  95. ↵
    1. McKinnon MC,
    2. Yucel K,
    3. Nazarov A,
    4. MacQueen GM
    (2009) A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. J Psychiatry Neurosci 34:41–54. pmid:19125212
    OpenUrlPubMed
  96. ↵
    1. Mei L,
    2. Xiong WC
    (2008) Neuregulin 1 in neural development, synaptic plasticity and schizophrenia. Nat Rev Neurosci 9:437–452. doi:10.1038/nrn2392 pmid:18478032
    OpenUrlCrossRefPubMed
  97. ↵
    1. Miner LA,
    2. Backstrom JR,
    3. Sanders-Bush E,
    4. Sesack SR
    (2003) Ultrastructural localization of serotonin2A receptors in the middle layers of the rat prelimbic prefrontal cortex. Neuroscience 116:107–117. doi:10.1016/S0306-4522(02)00580-8 pmid:12535944
    OpenUrlCrossRefPubMed
  98. ↵
    1. Moda-Sava RN,
    2. Murdock MH,
    3. Parekh PK,
    4. Fetcho RN,
    5. Huang BS,
    6. Huynh TN,
    7. Witztum J,
    8. Shaver DC,
    9. Rosenthal DL,
    10. Alway EJ,
    11. Lopez K,
    12. Meng Y,
    13. Nellissen L,
    14. Grosenick L,
    15. Milner TA,
    16. Deisseroth K,
    17. Bito H,
    18. Kasai H,
    19. Liston C
    (2019) Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formation. Science 364:eaat8078. doi:10.1126/science.aat8078
    OpenUrlAbstract/FREE Full Text
  99. ↵
    1. Montey KL,
    2. Eaton NC,
    3. Quinlan EM
    (2013) Repetitive visual stimulation enhances recovery from severe amblyopia. Learn Mem 20:311–317. doi:10.1101/lm.030361.113 pmid:23685763
    OpenUrlAbstract/FREE Full Text
  100. ↵
    1. Morgan C,
    2. McAndrew A,
    3. Stevens T,
    4. Nutt D,
    5. Lawn W
    (2017) Tripping up addiction: the use of psychedelic drugs in the treatment of problematic drug and alcohol use. Curr Opin Behav Sci 13:71–76. doi:10.1016/j.cobeha.2016.10.009
    OpenUrlCrossRef
  101. ↵
    1. Nardou R,
    2. Lewis EM,
    3. Rothhaas R,
    4. Xu R,
    5. Yang A,
    6. Boyden E,
    7. Dölen G
    (2019) Oxytocin-dependent reopening of a social reward learning critical period with MDMA. Nature 569:116–120. doi:10.1038/s41586-019-1075-9 pmid:30944474
    OpenUrlCrossRefPubMed
  102. ↵
    1. Nichols CD,
    2. Garcia EE,
    3. Sanders-Bush E
    (2003) Dynamic changes in prefrontal cortex gene expression following lysergic acid diethylamide administration. Brain Res Mol Brain Res 111:182–188. doi:10.1016/S0169-328X(03)00029-9
    OpenUrlCrossRefPubMed
  103. ↵
    1. Nichols CD,
    2. Sanders-Bush E
    (2002) A single dose of lysergic acid diethylamide influences gene expression patterns within the mammalian brain. Neuropsychopharmacology 26:634–642. doi:10.1016/S0893-133X(01)00405-5 pmid:11927188
    OpenUrlCrossRefPubMed
  104. ↵
    1. Nichols DE
    (2016) Psychedelics. Pharmacol Rev 68:264–355. doi:10.1124/pr.115.011478 pmid:26841800
    OpenUrlAbstract/FREE Full Text
  105. ↵
    1. Nichols DE,
    2. Walter H
    (2021) The history of psychedelics in psychiatry. Pharmacopsychiatry 54:151–166. doi:10.1055/a-1310-3990 pmid:33285579
    OpenUrlCrossRefPubMed
  106. ↵
    1. Nichols DE,
    2. Johnson MW,
    3. Nichols CD
    (2017) Psychedelics as medicines: an emerging new paradigm. Clin Pharmacol Ther 101:209–219. doi:10.1002/cpt.557 pmid:28019026
    OpenUrlCrossRefPubMed
  107. ↵
    1. Nutt DJ,
    2. King LA,
    3. Phillips LD
    (2010) Drug harms in the UK: a multicriteria decision analysis. Lancet 376:1558–1565.
    OpenUrlCrossRefPubMed
  108. ↵
    1. Ohtani A,
    2. Kozono N,
    3. Senzaki K,
    4. Shiga T
    (2014) Serotonin 2A receptor regulates microtubule assembly and induces dynamics of dendritic growth cones in rat cortical neurons in vitro. Neurosci Res 81:11–20. doi:10.1016/j.neures.2014.03.006 pmid:24698813
    OpenUrlCrossRefPubMed
  109. ↵
    1. Olson DE
    (2018) Psychoplastogens: a promising class of plasticity-promoting neurotherapeutics. J Exp Neurosci 12:1179069518800508. doi:10.1177/1179069518800508 pmid:30262987
    OpenUrlCrossRefPubMed
  110. ↵
    1. Olson DE
    (2020) The subjective effects of psychedelics may not be necessary for their enduring therapeutic effects. ACS Pharmacol Transl Sci 4:563–567. doi:10.1021/acsptsci.0c00192 pmid:33861218
    OpenUrlCrossRefPubMed
  111. ↵
    1. Pei Q,
    2. Tordera R,
    3. Sprakes M,
    4. Sharp T
    (2004) Glutamate receptor activation is involved in 5-HT2 agonist-induced Arc gene expression in the rat cortex. Neuropharmacology 46:331–339. doi:10.1016/j.neuropharm.2003.09.017 pmid:14975688
    OpenUrlCrossRefPubMed
  112. ↵
    1. Persico AM,
    2. Pino GD,
    3. Levitt P
    (2006) Multiple receptors mediate the trophic effects of serotonin on ventroposterior thalamic neurons in vitro. Brain Res 1095:17–25. doi:10.1016/j.brainres.2006.04.006 pmid:16701576
    OpenUrlCrossRefPubMed
  113. ↵
    1. Phoumthipphavong V,
    2. Barthas F,
    3. Hassett S,
    4. Kwan AC
    (2016) Longitudinal effects of ketamine on dendritic architecture in vivo in the mouse medial frontal cortex. eNeuro 3:ENEURO.0133-15.2016. doi:10.1523/ENEURO.0133-15.2016
    OpenUrlAbstract/FREE Full Text
  114. ↵
    1. Preller KH,
    2. Razi A,
    3. Zeidman P,
    4. Stämpfli P,
    5. Friston KJ,
    6. Vollenweider FX
    (2019) Effective connectivity changes in LSD-induced altered states of consciousness in humans. Proc Natl Acad Sci USA 116:2743–2748. doi:10.1073/pnas.1815129116 pmid:30692255
    OpenUrlAbstract/FREE Full Text
  115. ↵
    1. Price RB,
    2. Nock MK,
    3. Charney DS,
    4. Mathew SJ
    (2009) Effects of intravenous ketamine on explicit and implicit measures of suicidality in treatment-resistant depression. Biol Psychiatry 66:522–526. doi:10.1016/j.biopsych.2009.04.029
    OpenUrlCrossRefPubMed
  116. ↵
    1. Pryazhnikov E,
    2. Mugantseva E,
    3. Casarotto P,
    4. Kolikova J,
    5. Fred SM,
    6. Toptunov D,
    7. Afzalov R,
    8. Hotulainen P,
    9. Voikar V,
    10. Terry-Lorenzo R,
    11. Engel S,
    12. Kirov S,
    13. Castren E,
    14. Khiroug L
    (2018) Longitudinal two-photon imaging in somatosensory cortex of behaving mice reveals dendritic spine formation enhancement by subchronic administration of low-dose ketamine. Sci Rep 8:6464. doi:10.1038/s41598-018-24933-8 pmid:29691465
    OpenUrlCrossRefPubMed
  117. ↵
    1. Rasmussen KG
    (2016) Has psychiatry tamed the 'ketamine tiger?' Considerations on its use for depression and anxiety. Prog Neuropsychopharmacol Biol Psychiatry 64:218–224. doi:10.1016/j.pnpbp.2015.01.002 pmid:25582770
    OpenUrlCrossRefPubMed
  118. ↵
    1. Raval NR,
    2. Johansen A,
    3. Donovan LL,
    4. Ros NF,
    5. Ozenne B,
    6. Hansen HD,
    7. Knudsen GM
    (2021) A single dose of psilocybin increases synaptic density and decreases 5-HT(2a) receptor density in the pig brain. Int J Mol Sci 22:835.
    OpenUrl
  119. ↵
    1. Reh RK,
    2. Dias BG,
    3. Nelson CA 3rd.,
    4. Kaufer D,
    5. Werker JF,
    6. Kolb B,
    7. Levine JD,
    8. Hensch TK
    (2020) Critical period regulation across multiple timescales. Proc Natl Acad Sci USA 117:23242–23251. doi:10.1073/pnas.1820836117 pmid:32503914
    OpenUrlAbstract/FREE Full Text
  120. ↵
    1. Ross S,
    2. Bossis A,
    3. Guss J,
    4. Agin-Liebes G,
    5. Malone T,
    6. Cohen B,
    7. Mennenga SE,
    8. Belser A,
    9. Kalliontzi K,
    10. Babb J,
    11. Su Z,
    12. Corby P,
    13. Schmidt BL
    (2016) Rapid and sustained symptom reduction following psilocybin treatment for anxiety and depression in patients with life-threatening cancer: a randomized controlled trial. J Psychopharmacol 30:1165–1180. doi:10.1177/0269881116675512 pmid:27909164
    OpenUrlCrossRefPubMed
  121. ↵
    1. Sadahiro M,
    2. Demars MP,
    3. Burman P,
    4. Yevoo P,
    5. Zimmer A,
    6. Morishita H
    (2020) Activation of somatostatin interneurons by nicotinic modulator Lypd6 enhances plasticity and functional recovery in the adult mouse visual cortex. J Neurosci 40:5214–5227. doi:10.1523/JNEUROSCI.1373-19.2020 pmid:32467358
    OpenUrlAbstract/FREE Full Text
  122. ↵
    1. Sale A,
    2. Maya Vetencourt JF,
    3. Medini P,
    4. Cenni MC,
    5. Baroncelli L,
    6. De Pasquale R,
    7. Maffei L
    (2007) Environmental enrichment in adulthood promotes amblyopia recovery through a reduction of intracortical inhibition. Nat Neurosci 10:679–681. doi:10.1038/nn1899 pmid:17468749
    OpenUrlCrossRefPubMed
  123. ↵
    1. Sampedro F,
    2. de la Fuente Revenga M,
    3. Valle M,
    4. Roberto N,
    5. Domínguez-Clavé E,
    6. Elices M,
    7. Luna LE,
    8. Crippa JA,
    9. Hallak JE,
    10. de Araujo DB,
    11. Friedlander P,
    12. Barker SA,
    13. Álvarez E,
    14. Soler J,
    15. Pascual JC,
    16. Feilding A,
    17. Riba J
    (2017) Assessing the psychedelic 'after-glow' in ayahuasca users: post-acute neurometabolic and functional connectivity changes are associated with enhanced mindfulness capacities. Int J Neuropsychopharmacol 20:698–711. doi:10.1093/ijnp/pyx036 pmid:28525587
    OpenUrlCrossRefPubMed
  124. ↵
    1. Santos MA,
    2. Bezerra LS,
    3. Carvalho AR,
    4. Brainer-Lima AM
    (2018) Global hippocampal atrophy in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Trends Psychiatry Psychother 40:369–378. doi:10.1590/2237-6089-2017-0130 pmid:30234890
    OpenUrlCrossRefPubMed
  125. ↵
    1. Savalia NK,
    2. Shao LX,
    3. Kwan AC
    (2021) A dendrite-focused framework for understanding the actions of ketamine and psychedelics. Trends Neurosci 44:260–275. doi:10.1016/j.tins.2020.11.008 pmid:33358035
    OpenUrlCrossRefPubMed
  126. ↵
    1. Sawtell NB,
    2. Frenkel MY,
    3. Philpot BD,
    4. Nakazawa K,
    5. Tonegawa S,
    6. Bear MF
    (2003) NMDA receptor-dependent ocular dominance plasticity in adult visual cortex. Neuron 38:977–985. doi:10.1016/S0896-6273(03)00323-4
    OpenUrlCrossRefPubMed
  127. ↵
    1. Scruggs JL,
    2. Patel S,
    3. Bubser M,
    4. Deutch AY
    (2000) DOI-Induced activation of the cortex: dependence on 5-HT2A heteroceptors on thalamocortical glutamatergic neurons. J Neurosci 20:8846–8852. doi:10.1523/JNEUROSCI.20-23-08846.2000
    OpenUrlAbstract/FREE Full Text
  128. ↵
    1. Shao LX,
    2. Liao C,
    3. Gregg I,
    4. Davoudian PA,
    5. Savalia NK,
    6. Delagarza K,
    7. Kwan AC
    (2021) Psilocybin induces rapid and persistent growth of dendritic spines in frontal cortex in vivo. Neuron 109:2535–2544.e5. doi:10.1016/j.neuron.2021.06.008 pmid:34228959
    OpenUrlCrossRefPubMed
  129. ↵
    1. Solomon P,
    2. Leiderman PH,
    3. Mendelson J,
    4. Wexler D
    (1957) Sensory deprivation: a review. Am J Psychiatry 114:357–363. doi:10.1176/ajp.114.4.357 pmid:13458501
    OpenUrlCrossRefPubMed
  130. ↵
    1. Steinzeig A,
    2. Cannarozzo C,
    3. Castren E
    (2019) Fluoxetine-induced plasticity in the visual cortex outlasts the duration of the naturally occurring critical period. Eur J Neurosci 50:3663–3673. doi:10.1111/ejn.14512 pmid:31299115
    OpenUrlCrossRefPubMed
  131. ↵
    1. Stenbæk DS,
    2. Madsen MK,
    3. Ozenne B,
    4. Kristiansen S,
    5. Burmester D,
    6. Erritzoe D,
    7. Knudsen GM,
    8. Fisher PM
    (2021) Brain serotonin 2A receptor binding predicts subjective temporal and mystical effects of psilocybin in healthy humans. J Psychopharmacol 35:459–468. doi:10.1177/0269881120959609 pmid:33501857
    OpenUrlCrossRefPubMed
  132. ↵
    1. Sun Y,
    2. Ikrar T,
    3. Davis MF,
    4. Gong N,
    5. Zheng X,
    6. Luo ZD,
    7. Lai C,
    8. Mei L,
    9. Holmes TC,
    10. Gandhi SP,
    11. Xu X
    (2016) Neuregulin-1/ErbB4 signaling regulates visual cortical plasticity. Neuron 92:160–173. doi:10.1016/j.neuron.2016.08.033 pmid:27641496
    OpenUrlCrossRefPubMed
  133. ↵
    1. Trajkovska V,
    2. Marcussen AB,
    3. Vinberg M,
    4. Hartvig P,
    5. Aznar S,
    6. Knudsen GM
    (2007) Measurements of brain-derived neurotrophic factor: methodological aspects and demographical data. Brain Res Bull 73:143–149. doi:10.1016/j.brainresbull.2007.03.009 pmid:17499648
    OpenUrlCrossRefPubMed
  134. ↵
    1. Umemori J,
    2. Winkel F,
    3. Didio G,
    4. Llach Pou M,
    5. Castren E
    (2018) iPlasticity: induced juvenile-like plasticity in the adult brain as a mechanism of antidepressants. Psychiatry Clin Neurosci 72:633–653. doi:10.1111/pcn.12683 pmid:29802758
    OpenUrlCrossRefPubMed
  135. ↵
    1. Vaidya VA,
    2. Marek GJ,
    3. Aghajanian GK,
    4. Duman RS
    (1997) 5-HT2A receptor-mediated regulation of brain-derived neurotrophic factor mRNA in the hippocampus and the neocortex. J Neurosci 17:2785–2795. doi:10.1523/JNEUROSCI.17-08-02785.1997 pmid:9092600
    OpenUrlAbstract/FREE Full Text
  136. ↵
    1. Vargas MV,
    2. Meyer R,
    3. Avanes AA,
    4. Rus M,
    5. Olson DE
    (2021) Psychedelics and other psychoplastogens for treating mental illness. Front Psychiatry 12:727117. pmid:34671279
    OpenUrlCrossRefPubMed
  137. ↵
    1. Vollenweider FX,
    2. Preller KH
    (2020) Psychedelic drugs: neurobiology and potential for treatment of psychiatric disorders. Nat Rev Neurosci 21:611–624. doi:10.1038/s41583-020-0367-2 pmid:32929261
    OpenUrlCrossRefPubMed
  138. ↵
    1. Wang CS,
    2. Kavalali ET,
    3. Monteggia LM
    (2022) BDNF signaling in context: from synaptic regulation to psychiatric disorders. Cell 185:62–76. doi:10.1016/j.cell.2021.12.003 pmid:34963057
    OpenUrlCrossRefPubMed
  139. ↵
    1. Wang X,
    2. Christian KM,
    3. Song H,
    4. Ming GL
    (2018) Synaptic dysfunction in complex psychiatric disorders: from genetics to mechanisms. Genome Med 10:9. doi:10.1186/s13073-018-0518-5 pmid:29386063
    OpenUrlCrossRefPubMed
  140. ↵
    1. Weber ET,
    2. Andrade R
    (2010) Htr2a gene and 5-HT(2A) receptor expression in the cerebral cortex studied using genetically modified mice. Front Neurosci 4:36.
    OpenUrlCrossRefPubMed
  141. ↵
    1. Winkel F,
    2. Ryazantseva M,
    3. Voigt MB,
    4. Didio G,
    5. Lilja A,
    6. Llach Pou M,
    7. Steinzeig A,
    8. Harkki J,
    9. Englund J,
    10. Khirug S,
    11. Rivera C,
    12. Palva S,
    13. Taira T,
    14. Lauri SE,
    15. Umemori J,
    16. Castrén E
    (2021) Pharmacological and optical activation of TrkB in parvalbumin interneurons regulate intrinsic states to orchestrate cortical plasticity. Mol Psychiatry 26:7247–7256. doi:10.1038/s41380-021-01211-0 pmid:34321594
    OpenUrlCrossRefPubMed
  142. ↵
    1. Winkelman M
    (2014) Psychedelics as medicines for substance abuse rehabilitation: evaluating treatments with LSD, Peyote, Ibogaine and Ayahuasca. Curr Drug Abuse Rev 7:101–116. doi:10.2174/1874473708666150107120011 pmid:25563446
    OpenUrlCrossRefPubMed
  143. ↵
    1. Yaden DB,
    2. Griffiths RR
    (2020) The subjective effects of psychedelics are necessary for their enduring therapeutic effects. ACS Pharmacol Transl Sci 4:568–572. doi:10.1021/acsptsci.0c00194 pmid:33861219
    OpenUrlCrossRefPubMed
  144. ↵
    1. Yao N,
    2. Skiteva O,
    3. Zhang X,
    4. Svenningsson P,
    5. Chergui K
    (2018) Ketamine and its metabolite (2R, 6R)-hydroxynorketamine induce lasting alterations in glutamatergic synaptic plasticity in the mesolimbic circuit. Mol Psychiatry 23:2066–2077. doi:10.1038/mp.2017.239 pmid:29158578
    OpenUrlCrossRefPubMed
  145. ↵
    1. Yap EL,
    2. Greenberg ME
    (2018) Activity-regulated transcription: bridging the gap between neural activity and behavior. Neuron 100:330–348. doi:10.1016/j.neuron.2018.10.013 pmid:30359600
    OpenUrlCrossRefPubMed
  146. ↵
    1. Yoshida H,
    2. Kanamaru C,
    3. Ohtani A,
    4. Li F,
    5. Senzaki K,
    6. Shiga T
    (2011) Subtype specific roles of serotonin receptors in the spine formation of cortical neurons in vitro. Neurosci Res 71:311–314. doi:10.1016/j.neures.2011.07.1824 pmid:21802453
    OpenUrlCrossRefPubMed
  147. ↵
    1. Zanos P,
    2. Moaddel R,
    3. Morris PJ,
    4. Georgiou P,
    5. Fischell J,
    6. Elmer GI,
    7. Alkondon M,
    8. Yuan P,
    9. Pribut HJ,
    10. Singh NS,
    11. Dossou KS,
    12. Fang Y,
    13. Huang XP,
    14. Mayo CL,
    15. Wainer IW,
    16. Albuquerque EX,
    17. Thompson SM,
    18. Thomas CJ,
    19. Zarate CA Jr.,
    20. Gould TD
    (2016) NMDAR inhibition-independent antidepressant actions of ketamine metabolites. Nature 533:481–486. doi:10.1038/nature17998 pmid:27144355
    OpenUrlCrossRefPubMed
  148. ↵
    1. Zarate CA Jr.,
    2. Singh JB,
    3. Carlson PJ,
    4. Brutsche N,
    5. Ameli ER,
    6. Luckenbaugh DA,
    7. Charney DS,
    8. Manji HK
    (2006) A randomized trial of an N-methyl-D-aspartate antagonist in treatment-resistant major depression. Arch Gen Psychiatry 63:856–864. doi:10.1001/archpsyc.63.8.856 pmid:16894061
    OpenUrlCrossRefPubMed
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9 Nov 2022
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Psychedelics and Neural Plasticity: Therapeutic Implications
Steven F. Grieco, Eero Castrén, Gitte M. Knudsen, Alex C. Kwan, David E. Olson, Yi Zuo, Todd C. Holmes, Xiangmin Xu
Journal of Neuroscience 9 November 2022, 42 (45) 8439-8449; DOI: 10.1523/JNEUROSCI.1121-22.2022

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Psychedelics and Neural Plasticity: Therapeutic Implications
Steven F. Grieco, Eero Castrén, Gitte M. Knudsen, Alex C. Kwan, David E. Olson, Yi Zuo, Todd C. Holmes, Xiangmin Xu
Journal of Neuroscience 9 November 2022, 42 (45) 8439-8449; DOI: 10.1523/JNEUROSCI.1121-22.2022
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