A Basomedial Amygdala to Intercalated Cells Microcircuit Expressing PACAP and Its Receptor PAC1 Regulates Contextual Fear

Trauma can cause dysfunctional fear regulation leading some people to develop disorders, such as post-traumatic stress disorder (PTSD). The amygdala regulates fear, whereas PACAP (pituitary adenylate activating peptide) and PAC1 receptors are linked to PTSD symptom severity at genetic/epigenetic levels, with a strong link in females with PTSD. We discovered a PACAPergic projection from the basomedial amygdala (BMA) to the medial intercalated cells (mICCs) in adult mice.


Introduction
Given the very high prevalence of stress-related pathology in society, it is essential to understand the cellular and circuit mechanisms underlying emotion dysregulation (School, 2007). One theory of heightened fear in post-traumatic stress disorder (PTSD) is because of inappropriate inhibitory control over fear, leading even mild reminders of trauma to trigger strong symptoms and reduced propensity to extinguish acquired fear (Fanselow et al., 1988;Rosen and Schulkin, 1998;Grillon and Morgan, 1999;Milad et al., 2006;Jovanovic et al., 2010).
The amygdala and its associated structures play a key role in processing and reacting to emotional stimuli, and it is known to be involved in PTSD (Stevens et al., 2017). The cortex-like regions of the amygdala proper (lateral and basal nuclei of the basolateral amygdala complex [BLA]) receive sensory information from neocortex and thalamus (Swanson and Petrovich, 1998). Plasticity within these nuclei supports associative learning about sensory information pertinent to positive and negative affect and supports processes, such as Pavlovian fear conditioning (Falls et al., 1992;Fanselow and Kim, 1994;Blair et al., 2001). On the other hand, generation of most fear-related behaviors is initiated by the nearby medial portion of the striatal-like central nucleus (CN) (Swanson and Petrovich, 1998). There are several routes of communication between the amygdala and CN, only some of which are direct (Pare et al., 2004). Indirect microcircuits include relays in the lateral portion of the CN (Haubensak et al., 2010;Li et al., 2013) as well as clusters of GABAergic cells that lie in the capsule separating BLA and CN (Pare et al., 2004). There is currently only limited information about which specific aspects of fear learning are selectively served by these separable microcircuits. The capsular, or medial intercalated cell clusters (mICCs), appear to play a role in fear extinction, the loss of fear responses to a stimulus that previously triggered fear because of repeated exposure without any aversive consequences. A majority of the mICCs express m-opioid receptors on their cell bodies, and selective ablation of these neurons partially eliminates recall of fear extinction (Likhtik et al., 2008). Whether or not the mICCs are involved in other aspects of fear, such as acquisition, recall, and generalization, is unknown. Therefore, the present experiments combined a contextual fear conditioning task that allowed us to interrogate each of these behaviors with a novel approach to target the medial ICCs dissecting specific neuronal pathways expressed in this circuitry.
The neurotransmitters and neuromodulators that the basolateral complex utilizes to communicate with the mICCs are partially unknown Asede et al., 2015). Pituitary adenylyl cyclase-activating peptide (PACAP) and its G-protein coupled receptor, PAC1, are expressed in brain areas involved in emotion and arousal, including the amygdala and mICCs. Polymorphisms in either the PACAP or PAC1 receptor locus have been linked to PTSD symptom severity, with this genetic link especially strong in females with PTSD (Ressler et al., 2011). PACAP enhances contextual fear consolidation and extinction, and enhances excitatory synaptic transmission in BLA to lateral CN circuit (Cho et al., 2012;Schmidt et al., 2015;Meloni et al., 2016;Kirry et al., 2018). We investigated PACAP/PAC1 functions within the amygdala microcircuitry regulating aspects of contextual fear in male and female mice. Using mice for genetically targeting PACAP or PAC1-expressing cells, we identified a microcircuit consisting of PACAP-expressing neurons in the basal medial nucleus of the amygdala (BMA) that project to PAC1expressing mICCs. BMA is a crucial part of the BLA complex regulating fear and anxiety, but its functions in relation to other amygdala nuclei are not as clearly defined as the BLA (Amano et al., 2011;Adhikari et al., 2015). We discovered that a BMA-mICC microcircuit containing PACAP and PAC1 regulates fear acquisition, generalization, recall, and extinction in a distinct and sex-dependent manner, respectively.

Materials and Methods
Experimental models and subject details All experimental procedures were conducted in accordance with the guidelines set by the National Institutes of Health and the Institutional Animal Care and Use Committee at the University of California, Los Angeles. All mice were kept on ad libitum access to food and water in a light-and temperature-controlled vivarium. Mice (3-4 months) were housed in clear plastic cages (3-5 mice/cage as littermates) in a vivarium with lights on at 7:00 A.M. and off at 7:00 P.M. Experiments were performed between 9:00 A.M. and 3:00 P.M.
Mouse lines. Three different mouse lines (male and female sex) used in all aspects of this study. The first was a Tg (ADCYAP1-EGFP) FB22Gsat/Mmucd (RRID:IMSR_MMRRC:012011) reporter mouse line that faithfully expresses EGFP in PACAP-positive neurons. These mice were generated using a bacterial artificial chromosome (RP24-358O1) by the Gene Expression Nervous System Atlas project and obtained from the Mutant Mouse Resource and Research Center. These mice were backcrossed from FVB/NTac to C57BL/6 for at least five generations (Condro et al., 2016). The second mouse line was an ADCYAP1R1 loxP/loxP mouse. These mice were generated in a C57BL/6 background with a conditional KO allele (PAC1 loxP/loxP mice) through the National Institutes of Healthfunded KO mouse project. The third mouse line was an ADCYAP1-2A-Cre mouse line. These mice (ADCYAP1-2A-Cre) target Cre to most populations of PACAP neurons of the brain, including the amygdala [10] (Allen Brain Atlas).
Measure of freezing. Freezing is a complete lack of movement, except for respiration (Fanselow, 1980). Freezing was measured using VideoFreeze (Med Associates) that performed real-time video recordings at 18 frames per second. With this program, adjacent frames are compared to provide the grayscale change for each pixel, and the sum of pixels changing from one frame to the next constitutes a momentary activity score. To account for video noise and to approximate scoring by a trained human observer, a threshold is set at 18 activity units so that an instance of freezing is counted when that activity score remains below this threshold for 1 s (Anagnostaras et al., 2001). Percentage freezing = Freezing time/Total time Â 100 for a period of interest. Data are presented as mean 6 SEM percentages.
Because Med Associates software uses the number of pixels changed across the entire video frame to calculate the amount of freezing, we were not able to use it for automated analysis of freezing for our optogenetic studies. This is because, even when the mice were freezing, the movement in the optogenetic cable was calculated by the software as movement. Hence, for optogenetic behavioral experiments, we analyzed freezing using ezTrack software (Pennington et al., 2019), which enables removal of this cable artifact. In brief, videos were cropped to reduce the influence of optogenetic cables in the upper portion of the FOV. Subsequently, the number of pixels whose grayscale value changed from one frame to the next was calculated. Freezing was then scored when this number dropped below an experimenter-defined threshold for at least 30 frames (1 s). The freezing threshold was determined by visual inspection of the video and by comparing a subset of the results obtained to the results of manual scoring. All cropping and thresholding parameters were identical across sessions. Data are presented as mean 6 SEM percentages.
Visualizing expression of PACAPergic neurons. After recovery from surgery, mice were killed, brains extracted, and 40 mm brain sections were cut. Sections were mounted on slides and coverslipped with Prolong Gold Antifade Reagent (Invitrogen). Fluorescence images were acquired with a Keyence imager. We also conducted immunohistochemistry on some slices using an antibody against FoxP2 protein, which is highly expressed in the mICCs and used as a marker of labeling in this region.
In vivo optogenetic stimulation of BMA-mICC PACAPergic neurons and fear behaviors Intersectional viral method for expressing ChR2 specifically in PACAPergic neurons. We wanted to determine whether altering the activity of PACAPergic neurons that innervate the mICCs changes fear behavior. A previous study showed that the ex vivo optogenetic method can be used to analyze and study the role of intercalated cells in regulating fear behaviors, so we used optogenetics to answer our question (Bosch et al., 2016). For these experiments, we used the ADCYAP1-2A-Cre mice and conducted the same intersectional virus labeling strategy described previously. Briefly, we injected the Cre-dependent hEF1a-LS1L-mCherry-IRES-flpo in the mICCs and AAV5-EF1a-fDIO-ChR2-eYFP-WPRE or AAV5-EF1a-fDIO-eYFP-WPRE in the BMA for specifically expressing ChR2 in PACAPergic neurons that project from BMA to ICCs. Two 200mm-diameter optic fibers were also implanted bilaterally above mICCs or BMA (available from Prizmatix) and cut at the length of 4.6 or 5 mm, respectively. The core diameter of the fibers was 250 mm and an outer diameter of 275 mm. The numerical aperture (NA) was 0.66. For the stimulation, the optical fiber was connected to an LED-emitting blue light (473 nm, 20 Hz train of 25 ms on/off pulses, 10 min duration). Optogenetic stimulation was conducted bilaterally in each mouse throughout the duration of the experiment.
Behavioral procedure. The conditioning apparatus is as follows: Mice were run individually in sound-and light-attenuated conditioning boxes (Med Associates) (see Fig. 5). The boxes were equipped with Near Infra-Red Video Fear Conditioning System and could be configured to represent different contexts by changing the internal structure, floor texture, illumination, and odor. Context A (28 Â 21 Â 21 cm) had a clear Plexiglas back wall, ceiling, and front door with aluminum sidewalls. It also had a grid floor with evenly spaced stainless-steel rods cleaned and scented with 50% Windex. The floor in Context A was connected to a scrambled foot shock generator. Context B had a clear Plexiglas back wall, ceiling, and door with aluminum sidewalls. The chamber was altered by adding a white curved sidewall that extended across the back wall. The floor of Context B consisted of an acrylic white board floor, cleaned and scented with 1% acetic acid solution. The room was illuminated with red light, and the visible overhead lights were turned off in the box.
Behavioral design. We designed our behavioral tests to capture effects on all aspects of contextual fear regulation, including acquisition, generalization, recall, and extinction. This design was chosen mainly because mICCs are known to modulate fear extinction, but PAC1 and PACAP modulation could have effects on other aspects of fear. As the circuit mechanisms we are studying have not been examined previously, instead of simply designing a behavioral assay to measure acquisition and extinction, we also added the components to measure generalization and retention in the same animals. For acquisition, we used 5 d of training based on prior work in the laboratory that has shown that 5 d of training is sufficient to produce an asymptotic level of freezing (e.g., Young and Fanselow, 1992).
For each behavior day, mice were lightly restrained, and the optic cable was connected to the indwelling fiber optics in their head and placed in the testing chamber. We tested acquisition, generalization, and extinction of fear as measured by freezing. For optogenetic stimulation studies, we chose to activate throughout sessions to keep the gain-offunction and loss-of-function experiments with PAC1 deletion consistent with each other.
Acquisition. For acquisition, we placed the animals in Context A for 4 min 30 s every day around the same time for 5 d. At the fourth minute each day, the mice received a 1 s 0.65 mA shock. After 29 s, they were removed from the chamber and put back in their home cages, where they were housed with littermates. Mice were transported to the laboratory together in their home cages. There was one rest day between acquisition and generalization testing.
Generalization Test. The animals were placed in a completely different Context (B) for 4 min 30 s. No shocks were delivered.
Recall Test. One day after generalization testing the animals went through fear recall tests in Context A. Mice were placed in the context for 4 min 30 s without any shocks.
Extinction Test. For the next 5 d, animals went through fear extinction, again in Context A. Extinction sessions were 30 min long. We measured freezing for the first 4 min, but the animals remained in the chamber for the entire 30 min.
Deletion of PAC1 receptors from the mICCs and measurement of fearrelated behavior For experiments involving deletion of PAC1 receptors, we microinfused AAV2-hsyn-GFP-Cre or AAV2-hsyn-GFP into mICCs using the stereotaxic coordinates LM: 62.7; AP: À1.06; DV: À4.2. Although it is challenging to precisely target small structures, such as the medial ICCs, we have shown feasibility of confining virus infusion to such a small structure by using a specialized digital stereotax (model 1900, David Kopf Instruments) and pulled glass pipettes that are commonly used for electrophysiological recordings with single-cell resolution. We verified through various methods that we were able to precisely target the mICCs, including DAPI infusion (see Fig. 1C), infusion of AAV-expressing mCherry (see Fig. 1C), infusion of AAV2-hsyn-GFP (data not shown), and then colabeling our intersectional viral technique with an antibody against FoxP2, protein that is highly expressed in the mICCs (see Fig. 1E). Using these methods, we found that viral infusions were constrained by the surrounding capsule if the placement was accurate. The behavioral procedure and design were identical to the optogenetic experiments. The only difference was for measuring freezing, automated Med Associates Videofreeze software was used as described previously.
Validation of PAC1 receptor deletion using dual ISH with RNAscope. After the behavioral trials were complete, the mice were killed, and their brains extracted and immediately stored in at À80°C. The brains were sliced at 15 mm in a cryostat and slices containing the amygdala were collected on microscope slides. The deletion of PAC1 receptors was verified using RNAscope for analyzing expression of RNA tissue sections (ACD Biotechne). Briefly, we performed ISH steps following RNAscope Figure 1. PACAP-expressing neurons in the BMA innervate medial intercalated cells. A, Representative photomicrographs of high-resolution imaging show immunohistochemistry for GFP in ADCYAP1-EGFP mice. PACAPergic neurons are highly expressed in the lateral amygdala and BMA. PACAPergic terminals are observed in the mICCs primarily but not in the central amygdala (CN) (left, right). Green represents PACAP-EGFP. Scale bar, 500 mm. B, Example of section containing the basolateral (BLA) complex and PACAPergic innervation in the mICCs as shown by arrow labeled with PACAP-EGFP (green). Scale bars: top, 100 mm; bottom, 50 mm. C, Top panels, Representative photomicrographs show DAPI (blue) injection into the mICCs using specially constructed glass pipettes as indicated by arrows. Scale bar, 200 mm. Bottom, Representative image shows injection of AAV5-ChR2-mCherry virus into the mICCs. Scale bar, 100 mm. D, Left, Diagram represents the injection strategy for the intersectional approach in ADCYAP1-2A-Cre mice. Top, Representative diagram of the viral constructs that were injected for the intersectional 2.5 HD Duplex Assay protocol for fresh frozen sections. After completion of the labeling, sections were coverslipped using Prolong Gold (Thermo Fisher Scientific) with DAPI, and the edges were sealed with clear nail polish. PAC1 mRNA puncta counts were conducted in 4 serial sections containing the mICCs that started at the same rostral plane that were captured with a 40Â objective. mICCs frame was 25 mm Â 25 mm size. Analysis of dots was conducted using FIJI software. For each image, DAPI1PAC1 mRNA and DAPI1GFP were analyzed separately. For counts, DAPI-positive cells and PAC1 RNA dots were counted separately and expressed as mean grain count.
Measurement of CFOS expression after in Vivo optogenetic stimulation of BMA-PACAP neurons that innervate the mICCs Viral surgeries and in vivo optogenetic stimulation. For these experiments, we used the same intersectional approach described above for labeling PACAPergic neurons projecting from BMA to mICCs by infusing hEF1a-LS1L-mCherry-IRES-flpo into the mICCs (N = 4, 2 males and 2 females) and AAV5-EF1a-fDIO-ChR2-eYFP-WPRE or AAV5-EF1a-fDIO-eYFP-WPRE into the BMA. A 200-mm-diameter optic fiber was also implanted bilaterally above BMA (available from Prizmatix) and cut at the length of 5 mm. The core diameter of the fibers was 250 mm, and the outer diameter was 275 mm. The NA was 0.66. After 21 d, mice were anesthetized with isoflurane, and the optical fiber was connected to an LED-emitting blue light (473 nm, 20 Hz train of 10 ms on/ off pulses, 10 min duration). Optogenetic stimulation was conducted unilaterally, and the hemisphere of stimulation was counterbalanced between mice. Ninety minutes following the simulation, mice were killed, and brains extracted, cryoprotected, and frozen. During the 90 min, the mice were in their home cages without anesthesia.
Immunohistochemistry for measuring CFOS expression. The brains were processed for CFOS immunohistochemistry. First, 40 mm coronal sections containing the amygdala were collected serially. On day 1, tissue sections were washed in 1Â TBS 3 times for 5 min, then blocked in 1 ml of 1Â TBS with 5% normal donkey serum, 0.1% BSA, and 0.3% Triton-X for 1 h. Then the tissue sections were incubated overnight at 4°C with the primary goat polyclonal to cfos (1:500, 24 h, Abcam; RRID:SCR_ 012931) primary antibody. According to the manufacturer, this antibody is a "synthetic peptide conjugated to Blue Carrier Protein by a Cysteine residue linker corresponding to the internal sequence amino acids 283-295 of Human c-Fos (NP_005243.1)." On the second day, the sections were washed in 1Â TBS 3 times 5 min each and then incubated in the Alexa-488 donkey anti-goat secondary antibody (1:200, Invitrogen) for 2 h at room temperature. After washing with 1Â TBS for 3 times for 5 min each, tissue sections were mounted on glass slides and coverslipped using Prolong Gold (Thermo Fisher Scientific) with DAPI, and the edges were sealed with clear nail polish. Positive cfos immunolabeling was analyzed and quantified in brain sections containing the mICCs.
Cell counts for cfos experiments. Sections in the rostrocaudal extents of the BMA (bregma À1.06 to À2.3) were collected and processed for immunohistochemistry or RNAscope1immunohistochemistry, as described. The numbers of cfos 1 and VGLUT2 1 cells were manually counted in the region of the mICCs by two trained researchers that were blind to the treatment conditions. For VGLUT2, all PACAP cells, VGLUT2 cells, and PACAP1VGLUT2 cells were manually counted first for the tissue sections from PACAP-EGFP mice with VGLUT2 and GFP immunohistochemistry. For tissue sections from WT mice, with immunohistochemistry for VGLUT2 and RNAscope for PACAP mRNA, VGLUT2-positive cells, and colocalization with PACAP were counted manually using Fiji (National Institutes of Health) software. For RNAscope ISH and immunohistochemistry experiments, we counted PACAP-labeled cells in BMA and assessed colocalization with either VGLUT2 using Fiji software. For RNAscope, at least 5 PACAP mRNA puncta were counted that were in close proximity to a DAPI-labeled nucleus. For both, immunohistochemistry and RNAscope experiments, three or four sections from each animal were counted.
Electrophysiological methods were described previously (Tong et al., 2014;Octeau et al., 2018). Cells were visualized with infrared optics on an upright microscope (BX61WI, Olympus). pCLAMP10 software and a MultiClamp 700B amplifier were used for electrophysiology (Molecular Devices). For these recordings, the intracellular solution in the patch pipette contained the following (in mM): 135 potassium gluconate, 3 KCl, 0.1 CaCl 2 ,10 HEPES, 1 EGTA, 8 Na 2 -phosphocreatine, 4 Mg-ATP, 0.3 Na 2 -GTP, pH 7.3, adjusted with KOH and filtered with a 0.2 mm syringe filter. For biocytin labeling, 2 mg/ml biocytin (Tocris Bioscience) was dissolved in the intracellular solution, and cells were dialyzed for 20 min. For all recordings, the patch-pipette tip resistance was ;5 MV. The initial access resistance was ,25 MV for all cells; and if this increased by .5 MV, the cell was discarded.
We identified mICCs by their somatic morphology and location in the dorsal ICC nucleus, elevated membrane resistance, and the presence of a slowly accommodating inward current on hyperpolarization, in agreement with past work (Asede et al., 2015). The concentration of drugs applied onto brain slices via bath perfusion was as follows: 10 mM CNQX (Cayman Chemical), 250 nM PACAP 6-38 (Tocris Bioscience), 20 mM bicuculline (Cayman Chemical), and 0.5 mM TTX (Cayman Chemical). All compounds were stored at À20°C as stock solutions and diluted in aCSF just before use. ChR2-mediated responses were evoked by 470 nm light flashes from an LED source (Sutter Instrument) at power of 0.025 mW/mm 2 and for a flash duration of 25 ms each.

Microscopy for all experiments
The tissue sections were analyzed using a Keyence BZ-X700-All-in-One Fluorescence Microscope. Images were analyzed with Fiji image processing software (National Institutes of Health; RRID:SCR_002285). Images were converted to binary mode (black-and-white image). For ex vivo studies, a confocal microscope was used for analyzing the expression of biocytin-filled cells in the mICCs.

Experimental design and the statistical analyses
To be consistent, for every phase of testing (days 1-14), we measured freezing for the first 4 min of the session. This corresponds to the preshock period on the acquisition days, providing a measure of contextual fear that is not confounded by the unconditional behavioral effects of the shock. For the behavioral experiments in which acquisition and extinction were measured, a three-way ANOVA was used to measure differences in means with two between (sex and group) and one within (day) factors. For the other behavioral experiments, a two-way ANOVA was conducted to measure differences in the means with group and sex as between group factors. Significant effects indicated by the ANOVA were further analyzed with a post hoc Bonferroni analysis. The level of significance used for all analyses was p , 0.05. For behavior experiments, analysis was conducted using the SPSS statistics software.
For electrophysiology, statistical tests were run in GraphPad Instat 3. Summary data are presented as mean 6 SEM. In some of the graphs, the bars indicating the SEM are smaller than the symbols used to represent the mean. In all cases, the individual n numbers are reported on a scatter plot and defined for each experiment. For each set of data to be compared, we determined within GraphPad Instat whether the data were normally distributed or not. If they were normally distributed, we used parametric tests. If the data were not normally distributed, we used nonparametric tests. Paired and unpaired Student's t tests (as appropriate) and two-tailed Mann-Whitney or Wilcoxon tests were used for most statistical analyses with significance declared at p , 0.05, but stated in each case with a precise p value. When the p value was ,0.0001, it is stated as such to save space on the figure panels and text. N is defined as the numbers of cells or mice throughout on a case-by-case basis depending on the particular experiment; the unit of analysis is stated in each figure or figure legend. Where appropriate, key statistics are also reported in the text. No data points were excluded from any experiment.

PACAP-expressing neurons in the BMA innervate the medial ICCs
We examined EGFP expression in the ADCYAP1-EGFP mice, which restricts EGFP expression to PACAP-expressing neurons (Condro et al., 2016). Although distributed broadly in the amygdala, EGFP 1 cells were enriched in the lateral and basomedial nucleus (BMA) subregion with fibers in the mICCs (Fig. 1A,B). We evaluated the local PACAPergic efferents in the mICCs and found a high innervation of dorsal and ventral mICCs by PACAPergic neurons (Fig. 1A,B). By comparison, we found little to no innervation of the CN by EGFP 1 neurons (Fig. 1A,B). The pattern of expression corresponds with PACAP mRNA expression, which is high in the BMA and some expression in the mICCS (Allen Brain Atlas Mouse Brain ISH). To specifically target the mICCs, we first injected DAPI using glass pipettes. While mICCs are difficult to target because of their small size, we were able to localize our DAPI injections to these cells into the capsule of mICCs (Fig. 1C). We also confirmed that our injections would be restricted to the mICCs by injecting AAV5-EF1a-DIO-hChR2 (H134R)-mCherry into the mICCs and were able to restrict the injection in the mICCs by this method (Fig. 1C). We then wanted to determine whether monosynaptic PACAPergic projections in the mICCs arise from the BMA. Using intersectional approach as described by Fenno et al. (2014), we injected a retrogradely trafficked Cre-dependent HSV virus (hEF1a-LS1L-mCherry-IRES-flpo) into the mICCs (dorsal portion) and a Flp-dependent AAV5-EF1a-fDIO-ChR2-eYFP-WPRE into the BMA of ADCYAP1-2A-Cre mice. Adcyap1-2A-Cre mice express Cre specifically in PACAP-containing neurons. With the intersectional approach, the HSV virus, which is Cre-dependent and expresses FLP, retrogradely transports allowing expression specifically in PACAPergic neurons in the BMA. The AAV virus in turn is FLP-dependent, so therefore expresses only in neurons that have FLP. This allows labeling of specific projections from the BMA to mICCs (Fig. 1D). Our analysis showed that mCherry expressing soma were present in the BMA and fibers in the mICCs (Fig. 1D-G). To confirm, mCherry fiber localization in the mICCs, we also colabeled the sections with antibody against FoxP2, a marker for mICCs and found that the viral labeling overlapped with FoxP2 (Fig. 1E). Thus, using two different approaches (in Adcyap1-EGFP and Adcyap1-2A-Cre mouse lines), we confirmed that mICCs receive PACAPergic innervations and some of those innervations arise in the BMA.
In vivo optogenetic activation of PACAP-expressing neurons in the BMA enhances expression of cfos in the mICCs Next, we wanted to validate whether the mICCs projecting BMA PACAPergic neurons are glutamatergic. We first characterized colocalization of PACAPergic neurons with glutamatergic neurons with immunohistochemistry using an antibody against VGLUT2, a marker for glutamatergic neurons, and GFP in tissue sections containing the BMA from Adcyap1-EGFP mice (N = 6, 3 M and 3 F; Fig. 2A). We analyzed the percentage of overlap between VGLUT2-expresising neurons and PACAP. For this, we first counted the number of VGLUT2 1 and PACAP 1 cells separately in the same area of BMA. We then counted the VGLUT2 1 that were either PACAP 1 or PACAP -. Then we expressed these counts as fraction of overall VGLUT2 cells and expressed as percentage (paired t test PACAP 1 /VGLUT2 = 23 6 0.006%; PACAP -/ VGLUT2 = 77 6 0.015%; p = 0.0001, t (5) = 26.15). Our analysis showed that ;23% of VGLUT2 cells in BMA express PACAP-GFP. We further conducted ISH for PACAP using the RNAscope technology and immunohistochemistry using an antibody against VGLUT2 in tissue sections containing the BMA in a separate group of WT mice (N = 8: 4 M and 4 F; Fig. 2B). We analyzed the percentage of overlap between VGLUT2-immunoreactive cells with PACAP mRNA puncta. We found that PACAP mRNA puncta were present throughout the BMA. For our analysis, we first counted VLGUT2 1 cells. Then we counted the PACAP mRNA puncta surrounding VLGUT2 1 cells by setting the criterion of counting .5 puncta surrounding the VGLUT2 and DAPI-expressing cell. This analysis revealed that ;49 6 3% VGLUT2 cells expressed PACAP mRNA (Fig. 2B). Our analysis shows that there is a significant difference in the expression of PACAP mRNA and PACAP protein expression within the BMA, with higher expression of the PACAP mRNA overlapping with VGLTU2-containing neurons.
In vivo optogenetic activation of PACAP-expressing neurons in the BMA enhances expression of cfos in the mICCs Next, we wanted to determine the functional effect of stimulating PACAPergic projections that innervate the mICCs. We chose to measure changes in expression of cfos immunoreactivity after optogenetic stimulation of the BMA-mICC PACAPergic pathway. Using the same intersectional approach as described above in the Adcyap1-2A-Cre mice, we first injected the Cre-dependent HSV virus (hEF1a-LS1L-mCherry-IRES-flpo) into the mICCs (dorsal portion) and a Flp-dependent AAV5-EF1a-fDIO-ChR2-eYFP-WPRE into the BMA of Adcyap1-2A-Cre mice in both hemispheres. We bilaterally implanted optic fibers targeting the BMA (Fig. 3A). After recovery and viral expression, we performed in vivo optogenetic stimulation of the BMA in anesthetized mice in one hemisphere and analyzed changes in expression of cfos immunoreactivity in the mICCs of that hemisphere comparing it with the opposite side. For this, we conducted immunohistochemistry for labeling cfos in tissue sections containing the BMA and mICCs using an antibody against cfos. For analysis, we counted the absolute number of cfos 1 cells in the mICCs in both hemispheres. Only distinct soma-like puncta were counted for the analysis. Optogenetic stimulation of ChR2-contaning cells in the BMA significantly enhanced expression of cfos in the mICCs in the hemisphere with optogenetic stimulation compared with mICCs of the hemisphere without optogenetic stimulation (N = 4: 2 M and 2 F; paired t test; t (3) = 7.816, p = 0.0024; Fig.  3A-D). We used the Paxinos and Watson Brain Atlas to determine the anatomic boundaries between CN and mICCs for analysis of cfos and restricted it to the mICCs in the dorsal region. These results show that altering activity of PACAPergic neurons in the BMA modulates activity of neurons in the mICCs, represent a functional effect on neuronal activity in the mICCs.
Ex vivo optogenetic stimulation of the BMA-ICC PACAPergic pathway enhances EPSCs in the mICCs that is further enhanced by application of a PAC1 receptor antagonist Next, we sought to characterize the electrophysiological properties of mICC neurons when PACAPergic projections to this region were optogenetically stimulated. We specifically tested whether stimulation of BMA PACAPergic terminals changes synaptic activity of mICC neurons. For this, we performed ex vivo electrophysiological recordings in combination with optogenetic stimulation of BMA PACAPergic fibers expressing ChR2 (Fig. 4A). We injected AAV5-EF1a-DIO-hChR2(H134R)-mCherry virus into the BMA of Adcyap1-2A-Cre mice, which expresses Cre in PACAP-containing neurons (both males and females) (Fig. 4A,B). This allowed expression of ChR2 in the efferent pathways of the BMA containing PACAP. We then performed whole-cell patch-clamp recordings from the dorsal mICC region (Fig. 4B). The mICC neurons showed a sagging current on hyperpolarization and action potentials in response to stepwise changes in current (Fig. 4B). For all electrophysiological experiments, we confirmed that the recording sites were within the mICCs by filling the recorded neurons with biocytin and confirming the appropriate location of the neurons post hoc (Fig. 4B,J). The electrophysiological and morphologic properties of mICC neurons in our studies matched previously described properties of mICC neurons Asede et al., 2015;Bosch et al., 2016).
In a small subset of neurons, paired t test showed that the application of TTX suppressed EPSC responses and TTX 1 4-AP application increased EPSC amplitude (t (3) = 2.584; p = 0.0408; Fig. 4I). These results indicate that PACAP neurons produce a predominantly excitatory glutamatergic influence on mICCs, which in turn triggers local GABAergic inhibition between mICCs. Overall, these results show that the PACAPergic neurons from BMA to mICCs are synaptically coupled. These results also suggest that PACAP could be coreleased with glutamate from BMA neurons mitigating the postsynaptic influence of glutamate. In our studies, we did not find any significant differences in the electrophysiological properties between males and females; therefore, the data for males and females were combined but represented as blue and pink colors in Figure 4.
In vivo optogenetic stimulation of BMA PACAPergic input to the mICCs decreases fear recall and increases fear extinction Given that BMA-PACAPergic neurons modulate electrophysiological properties of dorsal mICC neurons, next, we wanted to test if, and how, this BMA (PACAP) to mICC (PAC1) pathway contributes to the learning and expression of fear behaviors. Our  In this example, the neuronal response comprises of an EPSC followed immediately by an IPSC response. Scale bar, 25 mm. C, Graphs represent the EPSC and IPSC amplitudes (left), response latency of either EPSC or IPSC events (middle), and pie chart represents the classification of response types from mICCs. Majority of mICC neurons showed EPSCs (N = 8, Mann-Whitney U test, p , 0.01). Pink dots represent females. Blue dots represent males. D, Representative current trace (left) from mICC neuron in response to single flashes with or without TTX applied. Average EPSC (middle) or IPSC (right) amplitude in response to single flashes with or without TTX are also shown (N = 8, Mann-Whitney U test, p , 0.002). Pink dots represent females. Blue dots represent males. E, Left, Representative current trace from mICC neuron in response to single flash with or without PACAP 6-38 application. Average EPSC amplitude (middle) or paired-pulse ratio (right) in response to single flashes with or without PACAP 6-38 is also shown (N = 6, p , 0.05). Pink dots represent females. Blue dots represent males. F, Left, Representative current trace from mICC neuron in response to single LED flash with or without CNQX application. Average EPSC (middle) or IPSC (right) amplitudes in response to single LED flash with or without CNQX (N = 6, p , 0.05). Pink dots represent females. Blue dots represent males. G, Representative current traces (left) from mICCs in response to trains of blue light goal was to also determine whether gain of function in this pathway modulates any specific or all aspects of fear behaviors, so we tested the effects of optogenetic stimulation of BMA-mICC pathway on fear acquisition, generalization, recall, and extinction. We chose to look at all these aspects of fear in the same animals because mICCs have previously been shown to modulate fear extinction, but we wanted to interrogate whether this pathway has effects on other aspects of fear in addition to extinction in the same experimental preparation. Using the previously described intersectional approach in the Adcyap1-2A-Cre mice, we conducted an optogenetic gain-of-function experiment. We conducted bilateral in vivo optogenetic stimulation of PACAPergic fibers in the mICCs that emanate from the BMA and tested different aspects of contextual fear behavior, including acquisition, generalization, recall, and extinction. The behavioral procedure is shown in Figure 5A, B. These experiments were conducted in both males [N = 8 (ChR2); N = 9 (EYFP)] and females [N = 9 (ChR2); N = 7 (EYFP)]. Acquisition measures the ability of animals to learn the association between the context and shock, and an asymptotic level of conditional fear is graded in a manner that is proportional to shock intensity. ANOVA revealed a main effect of the Day (ANOVA; F (4,145) = 66.503; p = 0.001) but no Sex Â Group interaction (ANOVA; F (1,145) = 0.833; p = 0.363) or Day Â Sex Â group interaction (ANOVA; F (4,145) = 30.979; p = 0.980) in fear acquisition, indicating that the animals acquired/learned fear in a similar manner (Fig. 5C). Learned responses generalize to other contexts, and overgeneralization occurs in anxiety disorders / flashes with or without CNQX present and average EPSC amplitude (right) at each flash for a train of 40 flashes. Inset, Zoomed in trace with both EPSCs and IPSCs present. H, Representative current trace (left) from mICCs in response to single flashes with or without bicuculline application. Average IPSC amplitude (right) in response to single flashes with or without bicuculline (N = 6, p , 0.05). Pink dots represent females. Blue dots represent males. I, Representative current traces in mICCs in response to light stimulation of ChR2 in PACAPergic neurons from BMA-mICCs in response to single flashes in the presence of 1 mM TTX and 100 mM TTX 1 4-AP. Average evoked EPSC amplitudes (middle) and normalized evoked EPSC amplitudes (right) in response to single flashes with TTX and TTX 1 4-AP (N = 3, p , 0.05). Pink dots represent females. Blue dots represent males. J, Representative image of one example neuron filled with biocytin in the mICCs after electrophysiological recordings. Inset, Confocal image of a biocytin-filled mICC neuron that has morphologic properties and processes that looks like a medium spiny neuron. Scale bar, 30 mm. reflecting fear in an inappropriate context. Moderate levels of freezing in this alternate context indicate that the mice exhibit overgeneralized fear. However, we found that the Sex Â Group interaction in the generalization test was not significant, indicating that the animals did not differentially generalize fear to a novel context (Fig. 5D) (ANOVA; F (1,29) = 0.594; p = 0.447).
The recall test was designed to measure the ability of animals to maintain a long-term fear memory of the context in which they acquired fear. ANOVA revealed a significant main effect of Group (ANOVA; F (1,29) = 13.08; p = 0.001) in the recall test, such that the groups that received optogenetic stimulation of the PACAPergic neurons from BMA to mICCs showed a significantly reduced level of freezing compared with the EGFP controls (Fig. 5E). However, there was no significant Group Â Sex interaction (ANOVA; F (1,29) = 0.008; p = 0.993).
Extinction is the loss of expression of learned behavior with repeated exposure to the conditional stimulus (e.g., context) without the unconditional stimulus (e.g., shock). We found a main effect of Group (ANOVA; F (1,145) = 20.128; p = 0.0001) and day (ANOVA; F (4,145) = 26.907; p = 0.0001) during the extinction test, but no Group Â Sex interaction (ANOVA; F (1,145) = 0.1; p = 0.753) or Group Â Sex interaction (ANOVA; F (4,145) = 0.247; p = 0.911) (Fig. 5F). These results show that stimulation of PACAPergic pathway from BMA to mICCs alters specific aspects of fear behaviors and similarly between males and females. Specifically, our results indicate that the activation of PACAPergic pathway from BMA to mICCs decreases recall of fear, potentially indicating that these animals had a weaker memory of the context where they acquired fear behaviors. Although the recall was decreased, these animals also showed a propensity for enhanced extinction of fear in both males and females, indicating that activation of PACAPergic pathway from BMA to mICCs reduces fear of the context in which the context and shock associations were learned. While the freezing levels on extinction day 1 were higher than on the recall test, it is hard to know whether recall influenced extinction of fear.
Deletion of PAC1 receptors from the mICCs enhances fear generalization and decreases fear extinction in males but not in females Next, we wanted to determine the effects of loss of function of PAC1-containing cells in the mICCs on the same fear behaviors that were measured with optogenetic gain of function of the BMA-mICC PACAPergic pathway. Previous studies have shown that forebrain-specific deletion of PAC1 receptors leads to an impairment of contextual fear conditioning, but in these studies other aspects of contextual fear learning, such as generalization and extinction, were not examined (Otto et al., 2001). Also, mICCs have been shown to modulate fear extinction; but similar to the optogenetic stimulation experiments, we chose to specifically look at all phases of fear, including acquisition, generalization, recall, and extinction. This also allowed us to compare the loss-of-function experiment with PAC1 deletion in mICCs with the gain-of-function experiment with optogenetic stimulation of PACAPergic pathway to mICCs. ISH shows that PAC1 receptor mRNA expression is high in the mICCs compared with BLA/ BMA or CN (Allen Brain Atlas). Thus, our loss-of-function experiment of PAC1 deletion in mICCs was designed to determine how a corresponding loss of mICCs PAC1 receptor gene expression affects the same set of fear behaviors as we tested with the optogenetic gain-of-function experiments (Fig. 6A,B). For this, we bilaterally injected the AAV2-hsyn-GFP-Cre or AAV2hsyn-GFP as control into the dorsal mICCs of the mice with floxed PAC1 receptor gene. AAV2-hsyn-GFP-Cre allows Cremediated site-specific deletion of PAC1 receptors from the mICCs. Only the animals that had bilateral and specific viral expression localized in the mICCs were used in the behavioral analysis. We conducted testing in both males [N = 14 (Cre); N = 16 (GFP)] and females [N = 15 (Cre); N = 18 (GFP)]. ANOVA revealed a main effect of Day (ANOVA; F (4,285) = 201.186, p = 0.0002), Sex (ANOVA; F (1,285) = 10.586, p = 0.001), and a Sex Â Group interaction (ANOVA; F (1,285) = 4.757, p = 0.046) in acquisition (Fig. 6C,G). ANOVA revealed there was a main effect of Group (ANOVA; F (1,59) = 3.858, p = 0.05) and a Sex Â Group interaction (ANOVA; F (1,59) = 9.352, p = 0.003) on the generalization test (Fig. 6D,H). Post hoc Bonferroni analysis showed that males with PAC1 deletion were significantly different from control (p , 0.05). ANOVA revealed no effect of Sex or Group or Group Â Sex interaction on the recall test (Fig. 6E Post hoc analysis revealed that extinction rate in males with PAC1 deletion was significantly lower than controls on days 2, 3 and 4 of extinction (p , 0.05) ( Fig. 6F and Fig. 6J). Females showed decreased fear acquisition, but males showed enhanced fear generalization and decreased fear extinction. We verified that viral expression was localized in the mICCs with postmortem analysis using the RNAscope technique; PAC1 mRNA in the mICCs was significantly reduced after injection of AAV-Cre compared with AAV-GFP control (Figs. 6K,L, 7; paired t test; t (4) = p , 0.05).

Discussion
We described a previously uncharacterized amygdala microcircuit containing the neuropeptide PACAP and PAC1 receptors in contextual fear regulation, whereby BMA PACAPergic neurons innervate the mICCs, which in turn express PAC1 receptors. BMA PACAP neurons regulate heterogeneous aspects of fear behaviors and electrophysiological properties of mICCs. PAC1containing neurons in the mICCs, in turn, alter fear in a sexually dimorphic manner. Our results were supported by gain-of-function optogenetic, loss-of-function viral-mediated receptor deletion and electrophysiology using genetically modified mice (Working model: Fig. 8). While mICCs have previously been shown to be important for fear extinction (Likhtik et al., 2008), we uncovered that mICCs also play a role in influencing other components of fear memory, including acquisition, generalization, and recall.
We used a novel contextual fear conditioning procedure to assess fear acquisition, generalization, recall, and extinction together. Optogenetic stimulation of BMA-mICC PACAP reduced fear recall and extinction. Deletion of PAC1 receptors from mICCs led to increased fear generalization and decreased extinction in males and decreased acquisition in females. Using two complementary approaches, we found that the BMA sends dense PACAPergic projections to mICCs. Previous anatomic studies using the phytohemagglutinin lectin anterograde labeling method suggested that BMA projections to mICCs are sparse. While this method of labeling provides useful information about regional association, it is limited in providing information about transneuronal connections and genetically defined cell populations or defining functional synapses (Petrovich et al., 1996;Strick and Card, 2011). There was a main effect of Group (F = 3.858, p = 0.05) and a Sex Â Group interaction (F = 9.352, p = 0.003) on generalization test. Post hoc analysis showed that males with PAC1 deletion were significantly different from control (p , 0.05). E, I, Graphs represent fear recall test after deletion of PAC1 receptors from the mICCs in males and females. There was no effect of Sex or Group or Group Â Sex interaction on the recall test (F = 2.463; p = 0.122). F, J, Graph represents freezing during extinction. There was a main effect of Day (F = 49.711, p = 0.0004), Our electrophysiology results corroborated physiologically that mICCs are similar to medium spiny neurons, and functionally that these neurons show high excitability and input resistance (Millhouse, 1986;Royer et al., 2000). Ex vivo optogenetic stimulation of the PACAPergic BMA-mICC projections enhanced EPSCs with a short latency (10 ms) in mICC neurons. CNQX abolished the EPSCs, indicating that these responses were mediated by glutamatergic AMPARs. In a subset of neurons, TTX application suppressed EPSCs and TTX 1 4-AP application increased EPSC amplitude, suggesting that the BMA-mICC pathway is monosynaptic. Application of PAC1 receptor antagonist (PACAP 6-38) concurrently with BMA-mICC optogenetic stimulation, surprisingly, further enhanced EPSCs. This suggests that PACAP is coreleased with glutamate, validated by our immunohistochemistry results represent VGLUT2 colocalized with PACAP. Blockade of PAC1R enhanced EPSC amplitude without changing paired-pulse ratio, arguing against the influence of PACAP 6-38 on presynaptic inputs. The molecular mechanism of how PAC1 blockade enhances EPSC amplitude remains to be precisely determined in future work. PAC1R are known to couple to K 1 channels, and their activation can enhance K 1 conductance in multiple cell types (Ichinose et al., 1998;Baron et al., 2001). One hypothesis is that the shunting inhibition promoted by basal tone of PACAP is relieved by application of PACAP 6-38, predicting EPSC enhancement from multiple sources outside of BMA. There were no sex differences in these measures. Our result suggests that BMA monosynaptic PACAPergic neurons drive behavioral effects by innervating a subset of mICC neurons.
In vivo optogenetic stimulation of the PACAP BMA-mICC pathway decreased contextual fear during the recall test in both Figure 7. Composite example photomicrographs represent AAV-Cre-GFP-mediated deletion of PAC1 receptors in mICCs or control AAV-GFP without deletion across all groups. A, Image panels and 4 example images represent viral targeting of mICCs in females with AAV-Cre-GFP-mediated PAC1 deletion. Arrows indicate mRNA puncta absence. Scale bars, 25 mm. B, Image panels and 4 example images represent viral targeting of mICCs in females with AAV-GFP and no PAC1 deletion. PAC1 mRNA are shown in red puncta. Arrows indicate mRNA puncta. Scale bars, 25 mm. C, Image panels and 4 example images represent viral targeting of mICCs in males with AAV-Cre-GFP-mediated PAC1 deletion. Arrows indicate mRNA puncta absence. Scale bars, 25 mm. D, Image panels and 4 example images represent viral targeting of mICCs in males with AAV-GFP and no PAC1 deletion. PAC1 mRNA are shown in red puncta. Arrows indicate mRNA puncta. Scale bars, 25 mm. / Sex (F = 12.513, p = 0.0002), and Day Â Sex Â Group interaction (F = 2.545, p = 0.04) in extinction. Post hoc analysis revealed that extinction rate in males with PAC1 deletion was significantly higher than controls on days 2-4 of extinction (p , 0.05). K, Representative photomicrographs represent AAV-Cre-GFP injection into the mICCs. Arrow indicates GFP expression in mICCs. L, Left, Representative photomicrographs show PAC1 mRNA puncta differences in mice that received AAV-Cre-GFP (top) or Control AAV-GFP (bottom) in the mICCs. Right, Graphs represent mean grain count of PAC1 mRNA in the mICCs with AAV-Cre-GFP (bottom) and control AAV-GFP (top). Mean grain count was significantly reduced after injection of AAV-Cre compared with AAV-GFP control (p , 0.05). Arrows indicate PAC1 mRNA puncta. Scale bars, 25 mm. psignificant p value. males and females, indicating that the BMA-mICCs monosynaptic pathway may not be sexually dimorphic in and of itself. Following the recall test, we found extinction to be decreased over time. Given that recall itself was altered, we cannot conclude whether extinction changes are attributable to optogenetic manipulation during extinction or because of changes in recall. The differences in freezing during extinction emerged over the course of days, although the groups were at equivalent levels in the beginning, suggesting that PACAP BMA-mICC pathway modulates extinction, consistent with the known role of ICCs (Likhtik et al., 2008). Higher freezing on day 1 of extinction than recall suggests that extinction alterations may be independent of recall. While acquisition and generalization were not altered by our manipulation, it is not inconceivable that effects on fear encoding during acquisition influenced later recall and extinction. It is important to highlight that our main goal was to determine whether the BMA-PACAP circuit regulates any or all aspects of fear. Our findings indicate that BMA-mICC PACAP circuit diminishes specific aspects of learned fear expression rather than a general fear reduction, per se. Overall, our results lay a foundation for future experiments to precisely parse how this pathway affects specific aspects of fear (acquisition, generalization, etc.). For instance, does recall of generalization produce long-term plasticity affecting extinction? Other important future directions include determining mechanisms of optogenetic inhibition of the BMA-mICC (PACAP) pathway, interrogating if fear is changed by altered gating of BMA neurons or via direct influence on CN output neurons to promote behavior output. One limitation of our stimulation parameter where stimulation occurred throughout sessions instead of restricting to a phase of a session is the impact on future fear learning or unwanted effects. This was done to match the PAC1 deletion experiment, where the deletion was present throughout entire sessions. PAC1 receptor deletion from mICCs slightly decreased fear acquisition, without altering generalization or extinction in females, somewhat modulating the asymptote of the learning curve. In males, PAC1 deletion from mICCs enhanced fear generalization and reduced extinction, indicating that these receptors regulate both fear generalization and extinction. Thus, in males, PAC1 receptors in BMA-mICC anatomic juncture may be necessary for regulating fear in an inappropriate context, whereas ablating them enhances fear. Reduced extinction indicates a failure to inhibit acquired fear when the PAC1 receptors are lacking. Overall, the results show that males and females show different fear expression when PAC1 receptors are absent in mICCs.
PAC1-containing mICC neurons project to various regions, in addition to the CN, to modulate distinct aspects of fear via these downstream projections. Our finding that sex differences in aspects of fear emerged only with the mICC receptor manipulation indicates that PAC1 containing mICC neurons receive innervation from other areas, in addition to the BMA, that drive behavioral output. While additional research is required, we hypothesize that PAC1-expressing mICC neurons and their downstream projections may be sexually dimorphic.
Our optogenetic stimulation and PAC1 deletion in the mICCs affected different aspects of fear. The optogenetic stimulation experiments were designed to modulate the upstream pathways of mICCs from the BMA, whereas the PAC1 deletion experiments modulate the downstream pathways. The mICCs are known to have a complicated morphology because of direct or indirect projections to the CN and could have different functional roles in fear regulation. Since more is known about the downstream projections of mICCs than the upstream projections to this region, our hypothesis is that the upstream pathways to mICCs are less heterogeneous, but the heterogeneous downstream projections affect multiple aspects of fear. Our conjecture fits with studies represent mICCs modulate distinct aspects of fear via specific neuropeptide/neurotransmitter microcircuits via projections to different structures (Amano et al., 2011;Busti et al., 2011;Duvarci and Pare, 2014). Also not in the scope of our paper, but subdivisions of the mICCs could also modulate different aspects of fear also via PACAP/PAC1.
We decided not to monitor cycle when comparing males and females because it is not possible to equate the stress from taking samples for cytology in females with males' experience. Therefore, we could not determine whether hormonal cycle played a role in the observed behavioral differences. Statistical analysis of heterogeneity of variance between males and females revealed similar variance for the male and female groups, suggesting that cycle may Figure 8. Working model of PACAP in the BMA and PAC1 in the mICCs in fear regulation through amygdala microcircuitry. A representative model of the amygdala microcircuitry containing PACAP neurons and PAC1 receptors in the BMA and mICCs, respectively. i, BMA PACAPergic neurons are colocalized with glutamatergic neurons. ii, Optogenetic activation of PACAPergic pathway from BMA to mICCs enhances excitatory postsynaptic potentials, which are further enhanced by application of PAC1 receptor antagonist. iii, Stimulating PACAPergic terminals in the mICCs decreases fear recall and fear extinction. iv, Deletion of PAC1 receptors from mICCs in females decreased fear acquisition, but deletion of these receptors from mICCs in males enhanced fear generalization and decreased fear extinction. This could occur through downstream projections of PAC1expressing neurons in the mICCs.
not play a major role in our observations. In future work, we will examine cycle effects directly by comparing only females at different stages of the cycle as that allows equivalent handling of all animals.
Amygdala microcircuitry is heterogeneous and complex in its morphology and function, and mICCs are major cell groups in this microcircuitry for processing specific aspects of fear-related information (Royer et al., 1999;Likhtik et al., 2008;Ehrlich et al., 2009;Palomares-Castillo et al., 2012;Pare and Duvarci, 2012). Our finding that PACAP and PAC1 influence specific fear properties suggests that PACAP/PAC1 is a critical neuropeptide system in the BMA-mICC amygdala node for differentially regulating sensory and associative information. Despite a complex cytoarchitecture, holistically, mICCs are plastic in their response to sensory information and modulate fear behaviors in a manner dependent on the incoming information (Amano et al., 2011;Huang et al., 2014;Asede et al., 2015).
While fear is a natural response that keeps organisms safe when faced with danger, fear dysregulation, as in PTSD, cripples an individual's ability to function. Traumatic stress results in enhanced acquisition of conditional fear that overgeneralizes to safe contexts or enhances recall and is less susceptible to extinction. We looked at all these aspects of fear in our study. PACAP and PAC1 have previously been shown to be important for fear regulation and high blood levels of PACAP, especially in females, and PAC1 methylation in a sex-independent manner is associated with PTSD (Ressler et al., 2011). Disentangling a microcircuit like BMA-mICCs in fear regulation via specific neuropeptide systems like PACAP/PAC1 provides better anatomic knowledge regarding substrates for targeted therapies for ameliorating symptoms in disorders like PTSD (Fendt and Fanselow, 1999).