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Research Articles, Systems/Circuits

Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition

Sheng H. Wang, Felix Siebenhühner, Gabriele Arnulfo, Vladislav Myrov, Lino Nobili, Michael Breakspear, Satu Palva and J. Matias Palva
Journal of Neuroscience 8 November 2023, 43 (45) 7642-7656; https://doi.org/10.1523/JNEUROSCI.1889-22.2023
Sheng H. Wang
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
2Doctoral Programme Brain & Mind, University of Helsinki, 00014 Helsinki, Finland
3BioMag Laboratory, HUS Medical Imaging Center, 00290 Helsinki, Finland
4Department of Neuroscience and Biomedical Engineering, Aalto University, 00076 Espoo, Finland
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Felix Siebenhühner
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
3BioMag Laboratory, HUS Medical Imaging Center, 00290 Helsinki, Finland
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Gabriele Arnulfo
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
5Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, 16136 Genoa, Italy
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Vladislav Myrov
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
4Department of Neuroscience and Biomedical Engineering, Aalto University, 00076 Espoo, Finland
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Lino Nobili
6Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Children's Sciences, University of Genoa, 16136 Genoa, Italy
7Child Neuropsychiatry Unit, Istituto Di Ricovero e Cura a Carattere Scientifico Istituto Giannina Gaslini, 16147 Genoa, Italy
8Centre of Epilepsy Surgery “C. Munari,” Department of Neuroscience, Niguarda Hospital, 20162 Milan, Italy
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Michael Breakspear
9College of Engineering, Science and Environment, College of Health and Medicine, University of Newcastle, Callaghan, 2308 Australia
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Satu Palva
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
10Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, Glasgow G12 8QB, United Kingdom
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  • ORCID record for Satu Palva
J. Matias Palva
1Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland
4Department of Neuroscience and Biomedical Engineering, Aalto University, 00076 Espoo, Finland
10Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, Glasgow G12 8QB, United Kingdom
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  • Figure 1.
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    Figure 1.

    Bistability is caused by elevated positive local feedback. A, The order parameter R(t) increases (top) as phases (Ph.) of the oscillators in the model become increasingly synchronized (bottom). Re/Im, Real/imaginary part of the complex R. B, Exemplary segments of order R time series when the model is in the sub-, super-, critical, and bistable phases indicated in F. C–E, Criticality estimates as a function of the local positive feedback (ρ) and neuronal coupling (κ). C, The mean order. Two arrows indicate the amount of coupling required for the model to transition from asynchrony (R = 0.1) to hypersynchrony (R = 0.9). D, The DFA exponent as a measure of LRTCs in the fluctuations of R(t). E, The BiS assessed from the R2 time series. C–E, Each pixel is the mean of 50 simulations. F, An overlaid regimen map based on observation from C–E; classic criticality (with a second-order phase transition) is associated with small positive feedback ρ (black dashed); bistable criticality is seen at mid-to-high degree of ρ (enclave inside red line). G, Probability distribution of R in bistable (top) and classic (bottom) criticality. The peak DFA (black line) coincided with the phase transition (i.e., moderate R). H, Probability density (pdf) of R and (I) the detrended fluctuations (DF) and the DFA exponents (the slope) of the time series from B, color-coded.

  • Figure 2.
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    Figure 2.

    Bistability and LRTCs were robust, large-scale phenomena in the resting-state brain. A, B, Five minutes of broad-band and narrow-band power (R2) time series from (A) a MEG parcel in visual area (Vis) in 1 subject and (B) an SEEG contact in middle frontal gyrus in one patient. Insets, Bistability as narrow-band traces switching between “up” and “down” states. C, Group-level probability (z axis) distribution of narrow-band (y axis) mean amplitude (R). D, DFA exponents. E, BiS estimates. Data were pooled over all nEZ SEEG contacts or MEG parcels; subject and contact/parcel number indicated in C. Black lines indicate mean of real data. Red dashed lines indicate 99th percentile of surrogate observation. F–H, Examples of narrow-band DFA and BiS probability distribution as indicated by colored arrows in D, E.

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    Figure 3.

    Bistability and LRTCs were coexisting, correlated phenomena in resting-state MEG and SEEG. Neuroanatomical similarity (Spearman's correlation) between group-average narrow-band BiS and DFA estimates of (A) MEG and (B) SEEG in Schaefer 100-parcel atlas. Red boxes represent frequency clusters showing high similarity. C, Narrow-band group-averaged estimates were collapsed into θ−α (5.4–11 Hz) and γ (40–225 Hz) band based on similarity shown in A. White-out columns in SEEG data represent excluded parcels because of insufficient sampling. D, E, Parcel-wise group-average θ−α band BiS maps for (D) MEG and (E) SEEG. F, Kruskal–Wallis one-way ANOVA for group-level differences in DFA and BiS estimates between Yeo systems. Dashed line indicates –log10(p value) > 1.3 (i.e., p < 0.05). Correlations between group-average parcel BiS and DFA estimates in θ−α (cross) and γ band (circles) in (G) MEG and (H) SEEG, −log10(p) > 5 (FDR-corrected). I, Spearman's correlations between within-subject-average BiS and DFA estimates in Yeo systems (subject NMEG per system =18; NSEEG per system = 50 ± 9.4, range: 36–60, variable SEEG subject N per system because of heterogamous spatial sampling).

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    Figure 4.

    Executive functions were correlated with θ−α band DFA and BiS estimates in MEG subjects. A, Spearman's correlation between subject neuropsychological test scores and within subject mean parcel θ−α band DFA. B, BiS estimates collapsed over parcels. Dashed lines indicate 5th and 95th percentile of correlations for surrogate data (Nsurrogate = 105, FDR-corrected). C, D, Subject Zoo map time rank and θ−α band parcel-collapsed (C) DFA and (D) BiS estimates. Each marker represents 1 subject. E, Fraction of parcels that showed significant correlation between neuropsychological test scores and individual parcel θ−α band DFA and (G) BiS estimates (p < 0.05, FDR-corrected). F, Parcels showing significant correlations between Zoom map time scores and θ−α band DFA and (H) BiS estimates.

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    Figure 5.

    Bistability showed strong predictive power for epileptogenic pathophysiology. A, B, Five minutes of broad-band traces and narrow-band power (R2) time series of an EZ (A) and an nEZ (B) cortical location recorded with two distinct electrode shafts in 1 subject. The two contacts were 19.7 mm apart within the supervisor frontal gyrus, and they were referenced with the same nearest white matter contact (Arnulfo et al., 2015a). C, Average normalized narrow-band BiS and (D) DFA estimates for all EZ (pink) and nEZ contacts (green) of the patient cohort. Shades represent 25th and 75th percentiles. E, The effect size of differences between EZ and nEZ contacts in frequency-collapsed BiS (red) and DFA (black). Dashed line indicates 99th percentile observation from surrogate data (Nsurrogate =1000). F, Feature importance estimated using SHAP values. G, The AUC of receiver operating characteristics averaged across subjects (black) and the AUC of pooled within-subject classification results (blue) when using (1) DFA alone, (2) BiS alone, (3) D&B, and (4) D&B plus contact loci in Yeo systems (D&B(Y)). Dashed lines indicate 99th percentile of AUC observed from 1000 surrogates created independently for each of the four feature sets. H–J, Post hoc inspection of results derived using D&B(Y) feature set (black marker in G). H, Spearman's correlation (p < 10−6, n = 55) between individual AUC and within-subject mean Cohen's d between EZ and nEZ in band-collapsed DFA and BiS. I, Receiver operating characteristics of classification within subjects (thin lines) and mean receiver operating characteristic (thick). J, Within-patient prediction precision as a function of TPR indicated by the magenta box from I. Red marker represents the population mean. Precision = true positive ÷ reported positive.

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    Table 1.

    Demographic data for the SEEG patient cohorta

    IDEZ locationAge (yr)SexMedicationOutcome (Engel score)
    1Right mesial frontal21MCarbamazepine 600 mg, Levetiracetam 1500 mgIB (8 yr)
    2Right temporal insular26MCarbamazepine 1200 mg, Primidone 750 mg, Clonazepam 10 mgIA (37 mo)
    3Right temporal38MCarbamazepine 1200 mg, Dilantin 450 mg, Lacosamide 300 mg, Clonazepam 10 mgNo surgery
    4Left temporo-parietal38FPhenobarbital 100 mg, Topiramate 100 mg, Levetiracetam 3000 mgIA (25 mo)
    5Left temporal-insular24MOxcarbazepine 600 mg, Lacosamide 400 mgIA (15 mo)
    6Right temporo-insular40FLevetiracetam 1000 mg, Lacosamide 350 mg, Sertraline 50 mg, Lorazepam 1 mgIIIA (32 mo)
    7Precuneus19MOxcarbazepine 600 mg, Lacosamide 400 mgNo surgery
    8Functional epilepsy20FCarbamazepine 1200 mg, Levetiracetam 1500 mgNo surgery
    9Right occipito-temporo-parietal20MLamotrigine 400 mg, Levetiracetam 3000 mg, Lacosamide 400 mgIA (3 yr)
    10Left temporal35MTopiramate 200 mg, Carbamazepine 900 mgIA (12 mo)
    11Right temporal anterior28MCarbamazepine 1200 mgIIA (66 mo)
    12Temporo-hip36FCarbamazepine 1400 mg, Levetiracetam 3000 mgIIA (6 mo)
    13Left frontal anterior40MLevetiracetam 2750 mg, Carbamazepine 800 mg, Primidone 750 mgIA (12 mo)
    14Thermo-coagulation multiple sites39MOxcarbazepine 1800 mg, Clobazam 20 mgIA (36 mo)
    15Right fronto-temporo-insular24FCarbamazepine 1000 mg, Clobazam 20 mg, Lamotrigine 200 mgIVA (24 mo)
    16Left parieto-opercolo-insular31FCarbamazepine 1200 mg, Clobazam 40 mg, Phenobarbital 75 mgIVA (12 mo)
    17Right temporo-perisylvian34FPhenobarbital 150 mg, Lacosamide 400 mg, Clobazam 10 mgIIC (38 mo)
    18Right perisylvian-insular17MCarbamazepine 800 mg, Lamotrigine 400 mgIVA (26 mo)
    19Right temporo-parieto-occipital36MOxcarbazepine 1200 mg, Phenobarbital 150 mg, Valproate 1000 mgIA (35 mo)
    20—32FCarbamazepine 700 mgNo surgery
    21Left temporal antero-mesial32MCarbamazepine 1200 mg, Levetiracetam 750 mgIA (61 mo)
    22Right fronto-centro-insular33MCarbamazepine 800 mg, Lacosamide 800 mg, Zonisamide 250 mgIIA (38 mo)
    23Left temporal21FLevetiracetam 1750 mg, Lacosamide 400 mg, Valproate1000 mgIA (24 mo)
    24Right parietal23MLevetiracetam 3000 mg, CBZ 1000 mg, Lacosamide 500 mgIA (24 mo)
    25Thermo-coagulation46MCarbamazepine 1200 mg, Phenobarbital 100 mgIA (24 mo)
    26Right frontal20FValproate 800 mg, Clobazam 10 mgIIA (36 mo)
    27Right fronto-mesial21MCarbamazepine 800 mg, Levetiracetam 3000 mg, Nitrazepam 1.5 mgIIIA (13 mo)
    28Right fronto-central22MLamotrigine 400 mg, Levetiracetam 2000 mgIA (24 mo)
    29Right frontal20MCarbamazepine 600 mg, Rufinamide 1500 mgIVA (13 mo)
    30Right frontal44FCarbamazepine 1200 mg, Zonisamide 400 mg, Phenobarbital 1000 mgIC (24 mo)
    31—17MCarbamazepine 300 mgNo surgery
    32—14MLevetiracetam 1500 mg, Clobazam 5 mgNo surgery
    33Right temporal antero-mesial30FOxcarbazepine 2000 mg, Phenobarbital 150 mgIIA (36 mo)
    34—24MCarbamazepine 16000 mg, Levetiracetam 4000 mgNo surgery
    35—29FLevetiracetam 3000 mgNo surgery
    36Right orbito-temporal29FZonisamide 400 mg, Levetiracetam 750 mg, Carbamazepine 1400 mgIA (62 mo)
    37—45FLacosamide 500 mg, Valproate 1000 mg, Zonisamide 200 mgNo surgery
    38Thermo-coagulation multiple sites34FCarbamazepine 1000 mg, Levetiracetam 2500 mgIA (12 mo)
    39Thermo-coagulation multiple sites50MLevetiracetam 2000 mg, Lacosamide 600 mgIIA (6 mo)
    40Left occipital17FCarbamazepine 1200 mg, Levetiracetam 1500 mg, Lacosamide 300 mgIB (49 mo)
    41Right temporal44FTopiramate 300 mg, Oxcarbazepine 1200 mgIIA (50 mo)
    42—27MCarbamazepine 800 mg, Lamotrigine 200 mgNo surgery
    43—46MCarbamazepine 1200 mg, Levetiracetam 3000 mg, Lacosamide 150 mg, Clobazam 20 mgNo surgery
    44Right antero-frontal28MCarbamazepine 1000 mg, Levetiracetam 1000 mgIIIA (61 mo)
    45Thermo-coagulation right temporo-parieto-perisylvian27FTopiramate 200 mg, Lamotrigine 200 mgIA (5 yr)
    46Right temporal antero-mesial42FLacosamide 500 mgIB (36 mo)
    47Left parieto-temporal15MCarbamazepine 900 mgIA (6 mo)
    48Thermo-coagulation right temporo-opercular37MCarbamazepine 900 mg, Levetiracetam 3000 mgIVA (12 mo)
    49Left frontal30FCarbamazepine 1200 mg, Lamotrigine 200 mg, Clobazam 20 mgIA (5 yr)
    50Left frontal15FLevetiracetam 1250 mg, Oxcarbazepine 1200 mgIA (4 yr)
    51Thermo-coagulation41MLevetiracetam 3000 mg, Lacosamide 400 mgIA (2 yr)
    52Right temporo-occipital37MLamotrigine 600 mg, Levetiracetam 2000 mgIA (2 yr)
    53Right temporal29MCarbamazepine 1400 mg, Levetiracetam 3000 mg, Clobazam 10 mgIA (31 mo)
    54Left opercolo-insular10FCarbamazepine 800 mgIIIA (34 mo)
    55Right temporo-frontal40FLamotrigine 600 mg, Clobazam 20 mg, Phenytoin 500 mgIA (13 mo)
    56Left temporo-insular-operculum29FCarbamazepine 1800 mg, Clobazam 20 mgIA (24 mo)
    57Right temporal27MLamotrigine 400 mg, Topiramate 400 mgIA (24 mo)
    58—26MPhenytoin 400 mg, Topiramate 500 mgNo surgery
    59Left temporal17MOxcarbazepine 1500 mg, Clobazam 20 mg, Levetiracetam 2500 mgIA (36 mo)
    60Right temporo-mesial25FTopiramate 75 mg, Carbamazepine 1500 mgIA (12 mo)
    61Nodular heterotopia24FCarbamazepine 1000 mg, Levetiracetam 500 mg, Clobazam 20 mgIVA (12 mo)
    62Left temporo-perisylvian37FCarbamazepine 1200 mg, Lamotrigine 550 mgIIIA (12 mo)
    63Left temporal antero-mesial32FClobazam 20 mg, Phenobarbital 45 mgIIA (55 mo)
    64Right temporo-occipital44MCarbamazepine 800 mg, Levetiracetam 3000 mg, Phenobarbital 125 mgIA (24 mo)
    • ↵aEZ location indicates the supposed brain location of the EZ. Thermo-coagulation indicates the practice used in surgical intervention of drug-resistant focal epilepsy where current is injected in a bipolar derivation in order to increase the pericontact temperature. —, no single focal location was identified. Age indicates the age of the patients at the recording date. Drugs are reported with their active principal names. Drug dosage is expressed in milligrams and refers to the morning dosage measured at the day of the recording. Outcome is expressed as Engel scores. Numbers in parentheses indicate the point time after surgery when the visit occurred.

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The Journal of Neuroscience: 43 (45)
Journal of Neuroscience
Vol. 43, Issue 45
8 Nov 2023
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Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition
Sheng H. Wang, Felix Siebenhühner, Gabriele Arnulfo, Vladislav Myrov, Lino Nobili, Michael Breakspear, Satu Palva, J. Matias Palva
Journal of Neuroscience 8 November 2023, 43 (45) 7642-7656; DOI: 10.1523/JNEUROSCI.1889-22.2023

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Critical-like Brain Dynamics in a Continuum from Second- to First-Order Phase Transition
Sheng H. Wang, Felix Siebenhühner, Gabriele Arnulfo, Vladislav Myrov, Lino Nobili, Michael Breakspear, Satu Palva, J. Matias Palva
Journal of Neuroscience 8 November 2023, 43 (45) 7642-7656; DOI: 10.1523/JNEUROSCI.1889-22.2023
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Keywords

  • bistability
  • criticality
  • dynamics
  • epilepsy
  • resting-state
  • scale-free

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