Abstract
Background:
Experience-dependent functional adaptation of nucleus accumbens (NAc) circuitry underlies the development and expression of reward-motivated behaviors. Parvalbumin-expressing GABAergic interneurons (PVINs) within the NAc are required for this process. Perineuronal nets (PNNs) are extracellular matrix structures enriched around PVINs that arise during development and are proposed to mediate brain circuit stability. However, their function in adult NAc is largely unknown. Here we study the developmental emergence and adult regulation of PNNs in the NAc of male and female mice and test the cellular and behavioral consequences of reducing the PNN component Brevican in NAc PVINs.
Methods:
We characterized the expression of PNN components in mouse NAc using immunofluorescence and RNA in situ hybridization. We lowered Brevican in NAc PVINs of adult mice using an intersectional viral and genetic method and quantified the effects on synaptic inputs to NAc PVINs and reward-motivated learning.
Results:
PNNs around NAc PVINs are developmentally regulated and appear during adolescence. In the adult NAc, PVIN PNNs are also dynamically regulated by cocaine. Transcription of the gene encoding Brevican is regulated in a cell-type and isoform-specific manner in NAc, with the membrane-tethered form of Brevican highly enriched in PVINs. Lowering Brevican in NAc PVINs of adult mice decreased their excitatory inputs and enhanced both short-term novel object recognition and cocaine conditioned place preference.
Conclusions:
Regulation of Brevican in NAc PVINs of the adult mouse modulates their excitatory synaptic drive and sets experience thresholds for the development of motivated behaviors driven by rewarding stimuli.
Keywords: Brevican, Parvalbumin Interneurons, Addiction, Synapses, Perineuronal Nets, Cocaine
Introduction
The Nucleus Accumbens (NAc) drives reward-motivated behaviors by integrating information about environmental context, internal state, and motivation with past outcomes (1). NAc Striatal Projection Neuron (SPN) activity mediates the expression of these behaviors, and SPN experience-dependent transcriptional plasticity has been widely studied as a mechanism of reward learning (2). However, SPN firing is coordinated by strong, feed-forward inhibition from a sparse population of local Parvalbumin-expressing GABAergic interneurons (PVINs) that also shape reward-relevant NAc output (3–9). NAc PVINs are functionally required for the expression of conditioned place preference (CPP) following appetitive rewards (4,6). Furthermore, following repeated exposure to the psychostimulant cocaine, NAc PVINs display increased excitability and selectively strengthened excitatory synaptic inputs (5,10), suggesting that cocaine-dependent functional adaptations in NAc PVINs could contribute to the development of addictive-like behaviors. The synaptic connectivity of PVINs in many brain areas is regulated by a specialized extracellular matrix (ECM) structure called the perineuronal net (PNN) (11). We recently identified synaptic and ECM-related genes that were selectively regulated in NAc PVINs after acute psychostimulant exposure (12). Here, we examine the role of one class of these ECM gene products in NAc PVIN synaptic connectivity and reward-motivated behaviors.
PNNs have been highly studied in developing cortex, where their activity-dependent emergence (13–15) correlates with PVIN physiological maturation (16–18), formation of PVIN synaptic inputs (11,19–21), and closure of developmentally regulated critical periods of plasticity (22–24). These data have led to a model in which PNNs promote circuit stability (11), and an emerging idea that PNN remodeling contributes to adult learning (11,25) including addiction-related behaviors (26). In adult mice, enzymatically disrupting PNNs and other ECM structures (27) generally impairs memory, with the nature of the deficit dependent on brain region (28–35). Two studies have manipulated PNNs in the adult striatum (36,37), but none, to our knowledge, have targeted NAc.
Major PNN components include the chondroitin sulfate proteoglycans (CSPGs) aggrecan (ACAN), brevican (BCAN), neurocan (NCAN), and versican (VCAN) (27). The gene encoding BCAN is distinct among the CSPGs in that it produces two transcripts (Bcan1 and Bcan2), one of which (Bcan2) encodes a glycosylphosphatidylinositol (GPI)-linked isoform that remains tethered to the cell surface (38). GPI-linked BCAN2 cell-autonomously promotes the development of excitatory inputs onto hippocampal PVINs (21). In adult mice, one study found that knocking down BCAN in hippocampal PVINs perturbed PNNs and impaired memory (33). These studies raise the exciting possibility that BCAN2 may cell-autonomously control synaptic inputs and/or PNNs on PVINs during learning. However, whether BCAN is required to maintain NAc PVIN synaptic inputs and reward-motivated behaviors in adulthood is unknown.
Here we first characterize the expression of PNN components including BCAN1 and BCAN2 in mouse NA PVINs through postnatal development and following cocaine exposure in adulthood. Next, using cell-type specific viral knockdown methods in NAc PVINs of adult mice, we demonstrate that BCAN is required to maintain PVIN excitatory inputs. Interestingly, we find that loss of BCAN in NAc PVINs accelerates learning in response to both natural and drug rewards. These data provide new insights into mechanisms by which PNN components of NAc PVINs regulate their plasticity and shape learning thresholds for reward-motivated behaviors in adulthood.
Methods and Materials
Animals
Homozygous Pvalb-T2A-Cre mice (RRID:IMSR_JAX:012358) were crossed with C57BL/6J mice (RRID:IMSR_JAX:000664). Except where indicated, experiments used adult (p60–235) male and female mice heterozygous for the Pvalb-T2A-Cre transgene. All procedures were performed under a protocol approved by the Duke University Institutional Animal Care and Use Committee.
PNN and Bcan labeling
PNNs were detected with WFA-FITC and the signal was amplified by incubation with rabbit anti-FITC. For RNA visualization, multiplex RNAscope FISH (Advanced Cell Diagnostics) was performed on fresh-frozen tissue. All images within an experiment were obtained under identical acquisition settings.
Stereotactic surgery
Adeno-associated viruses (AAVs) containing DIO-mCherry-shLacZ, DIO-mCherry-shBcan, or DIO-Bcan2-HA (21) were generated by the Duke University viral vector core facility in serotype AAV1/5. For electrophysiology, viruses were mixed 1:1 with AAV1-DIO-eGFP (4). To bilaterally deliver viruses to NAc, mice were anesthetized using isoflurane and virus (0.5μL/side) was stereotactically delivered at coordinates from Bregma AP+1.8mm, ML+/−1.5mm, and DV-4.4mm from dura. Experiments occurred at least 2 weeks later.
Electrophysiology
Voltage-clamp recordings of miniature EPSCs were performed using 250μm parasagittal acute brain slices containing NAc. mEPSCs were obtained at −70mV in the presence of artificial cerebrospinal fluid (124mM NaCl, 2.5mM KCl, 1mM MgCl2, 2mM CaCl2, 26mM NaHCO3, 1.2mM NaH2PO4, and 10mM glucose, saturated with 95% O2 and 5% CO2, pH 7.4, 300mOsm/l), 1μM TTX, and 50μM picrotoxin, using a potassium methanesulfonate-based internal solution (130mM KMeSO3, 7.5mM NaCl, 0.2mM EGTA, 10mM HEPES, 4.2mM ATP-Mg, 0.3mM GTP-Na, pH 7.3, 295mOsm/liter).
Behavior
Behavioral tests were performed in the light portion of the light/dark cycle. Novel object recognition sessions lasted 5min, and tests occurred 30min and 24hr after training. Cocaine conditioned place preference (CPP) used a 3-chamber apparatus. All sessions lasted 30min, except for the interleaved 10min test sessions in the Bcan knockdown study. For PNN and Bcan regulation studies, experimental mice received saline on days 2, 4, and 6, and cocaine (15mg/kg, i.p.) on days 3, 5, and 7. Control mice received saline on days 2–7 in alternating chambers. ‘Acute’ mice were sacrificed 3hr or 24hr after the injection on day 3. ‘CPP’ mice were tested on day 8, and sacrificed 24hr later. For the Fos study, mice were perfused 2hr after the injection on day 3. For the BCAN knockdown study, experimental mice received cocaine (10mg/kg, i.p.) on days 2, 5, and 8, and saline on days 3, 6, and 9, with tests on days 4, 7, and 10. Preference was quantified as (cocaine/novel time – saline/familiar time)÷(cocaine/novel time + saline/familiar time).
Statistical Analyses
All experiments were performed or quantified by an investigator blind to experimental condition. All data were tested for normality and analyzed using indicated tests in Prism 9. p<0.05 was considered significant. For further details, refer to Supplemental Information and the Key Resources Table.
Key Resources Table.
| Resource Type | Specific Reagent or Resource | Source or Reference | Identifiers | Additional Information |
|---|---|---|---|---|
| Mouse | B6.Cg-Pvalbtm1.1(cre)Aibs/J | Jackson Laboratory | RRID:IMSR_JAX:012358 | Pvalb-T2A-Cre |
| Mouse | C57BL/6J | Jackson Laboratory | RRID:IMSR_JAX:000664 | |
| Antibody | anti-PV - guinea pig | Synaptic Systems | 195004; RRID:AB_2156476 | IHC, 1:1000 |
| Antibody | anti-FITC - rabbit | Invitrogen | A889; RRID:AB_221561 | IHC, 1:1000 |
| Antibody | anti-HA - mouse | EMD Milipore | 05-904; RRID:AB_417380 | IHC, WB 1:1000 |
| Antibody | anti-MCHERRY - chicken | EnCor Biotechnology | CPCA-mCherry; RRID:AB_2572308 | IHC, 1:1000 |
| Antibody | anti-c-FOS - rabbit | Synaptic Systems | 226008; RRID:AB_2891278 | IHC, 1:1000 |
| Antibody | anti-BCAN - rabbit | Protein Tech | 19017-1-AP; RRID:AB_10643526 | IHC, 1:1000 |
| Antibody | anti-VGLUT1 - guinea pig | Synaptic Systems | 135304; RRID:AB_887878 | IHC, 1:500 |
| Antibody | anti-VGLUT2 - guinea pig | Synaptic Systems | 135404; RRID:AB_887884 | IHC, 1:500 |
| Antibody | anti-VGAT - guinea pig | Synaptic Systems | 131004; RRID:AB_887873 | IHC, 1:500 |
| Antibody | anti-PSD95 - rabbit | Invitrogen | 516900; RRID:AB_2533914 | IHC, 1:300 |
| Antibody | anti-GEPHYRIN - rabbit | Synaptic Systems | 147008; RRID:AB_2619834 | IHC, 1:500 |
| Antibody | anti-FLAG - mouse | Sigma-Aldrich | F3165; RRID:AB_259529 | WB, 1:1000 |
| Antibody | anti-ACTIN - mouse | Milipore | MAB1501; RRID:AB_2223041 | WB, 1:20,000 |
| Lectin | WFA-FITC | Invitrogen | L32481 | IHC, 1:1000 |
| Commercial Assay Or Kit | RNAscope Multiplex Fluorescent Assay | Advanced Cell Diagnostics | version 1 | |
| RNAscope Probe | Pvalb | Advanced Cell Diagnostics | 421931 | NM_013645.3, nucleotides 2-884 |
| RNAscope Probe | Bcan | Advanced Cell Diagnostics | 516911-C2 | NM_007529.2, nucleotides 1548-2549 |
| RNAscope Probe | Bcan1 | Advanced Cell Diagnostics | 531771-C3 | NM_007529.2, nucleotides 2246-3231 |
| RNAscope Probe | Bcan2 | Advanced Cell Diagnostics | 531761-C2 | NM_001109758.1, nucleotides 2147-2643 |
| Cell line | Neuro2a | ATCC | ATCC #CCL-131; RRID:CVCL_0470 | |
| Plasmid | ADAMTS15 | Gift from Dylan R. Edwards (https://doi.org/10.1002/ijc.29129) | FLAG-tagged | |
| Plasmid | ADAMTS15E362A | Gift from Dylan R. Edwards (https://doi.org/10.1002/ijc.29129) | FLAG-tagged | |
| Plasmid | DIO-shLacZ-mCherry | Gift from Beatriz Rico (https://doi.org/10.1016/j.neuron.2017.06.028) | ||
| Plasmid | DIO-shBcan-mCherry | Gift from Beatriz Rico (https://doi.org/10.1016/j.neuron.2017.06.028) | ||
| Plasmid | DIO-BCAN1-HA | Gift from Beatriz Rico (https://doi.org/10.1016/j.neuron.2017.06.028) | ||
| Plasmid | DIO-BCAN2-HA | Gift from Beatriz Rico (https://doi.org/10.1016/j.neuron.2017.06.028) | ||
| Virus | AAV1-DIO-BCAN2-HA | Duke Viral Vector Core; https://doi.org/10.1016/j.neuron.2017.06.028 | 3.0×10^12 vg/mL | |
| Virus | AAV1-DIO-shLacZ-mCherry | Duke Viral Vector Core; https://doi.org/10.1016/j.neuron.2017.06.028 | 6.8×10^12 vg/mL | |
| Virus | AAV1-DIO-shBcan-mCherry | Duke Viral Vector Core; https://doi.org/10.1016/j.neuron.2017.06.028 | 3.5×10^12 vg/mL | |
| Virus | AAV1-DIO-eGFP | Duke Viral Vector Core; https://doi.org/10.1038/npp.2017.178 | 4.0×10^12 vg/mL | |
| Equipment | Three compartment CPP apparatus | Med Associates | MED-CPP-3013 | Duke Behavioral and Neuroendocrine Core |
| Software | EthoVision XT | Noldus | Duke Behavioral and Neuroendocrine Core | |
| Software | GraphPad Prism 9 | GraphPad Softwares |
Results
PNNs emerge around NAc PVINs during adolescence and are locally remodeled in cocaine CPP
Wisteria floribunda agglutinin (WFA) binds to the chondroitin sulfate (CS) side-chains of proteoglycans enriched in PNNs (39,40). In adult NAc, WFA signal was present both in a diffuse pattern reflecting ubiquitous ‘loose’ ECM (27) and in brighter perisomatic PNNs (Fig. 1A). We defined PV+ cells as having somatic PV signal ≥25% above surrounding tissue, and PV+/WFA+ cells as also having perisomatic WFA signal ≥25% above surrounding tissue. Similar to medial prefrontal cortex (mPFC) and other brain regions (41), NAc PNNs were primarily found around PV+ cells, though some WFA+ cells were not detectably PV+ (Fig. S1A). Although adult NAc showed weaker PV and WFA signal compared to mPFC in both PV+ cells and loose ECM, similar proportions (NAc, 52.8±7.4%; mPFC, 65.9±4.9%) of NAc and mPFC PV+ cells were also WFA+ (Fig. S1B–E). These proportions are consistent with a recent report sampling PV and WFA staining across the entire mouse brain (42).
Figure 1.

NAc PVINs upregulate PV and acquire PNNs during the transition to adulthood. A) Representative immunostaining showing WFA-positive PNNs (cyan) surrounding the soma of PVINs (red) in the P90 NAc. ac, anterior commissure; PNN, perineuronal net; ECM, loose extracellular matrix; boxes indicate areas magnified in panels below. Scale bar = 40μm. B) The number of PV+ cells detected in NAc increases from P15 to P50 and P90 (ANOVA F(3,24)=3.163, p=0.043; *p<0.05 by Dunnett’s post-hoc test; n=4–10 mice/group). C) The median relative PV intensity of all PV+ cells increases from P15 to P30, P50, and P90 (Kruskal-Wallis statistic=15.75, p<0.01; *p<0.05, **p<0.01, ***p<0.001 by Dunn’s post-hoc test; n=52–393 cells from 4–10 mice/group). D) The number of PV+/WFA+ cells detected in NAc increases from P15 to P50 and P90 (ANOVA F(3,24)=3.726, p=0.025; *p<0.05 by Dunnett’s post-hoc test; n=4–10 mice/group).
In cortex, PVINs undergo an activity-dependent period of postnatal maturation during which they upregulate PV expression, develop mature fast-spiking properties, and acquire PNNs (14,15,17,43,44). To determine whether NAc PNNs show similar developmental regulation, we assessed WFA signal at P15, P30, and P50 to compare against P90 (adult) mice (45). We observed an increase in the number and relative PV intensity of NAc PV+ cells during adolescence (Fig. 1B–C). The number of PV+/WFA+ cells in the NAc also increased over the course of adolescence (P15-P50) but did not increase further as mice aged (P50-P90) in adulthood (Fig. 1D). WFA labeling of loose ECM increased from P15 to P50 (Fig. S1F), consistent with changes in ECM composition over this period (46). However, we saw no accompanying differences in WFA intensity in PNNs (Fig. S1G), showing these two types of ECM can be regulated independently. These results reveal that similar to cortical PVINs, PNNs around NAc PVINs are developmentally regulated during adolescence.
Adult cortical and hippocampal PNNs are dynamically remodeled during associative learning (21,33,34) and addiction-related paradigms (47). To determine whether PNNs around adult NAc PVINs are also regulated by experience, we examined PNN integrity in NAc PVINs at distinct stages of learning an association between spatial context and drug reward. PV and WFA staining was measured 24hr after a single cocaine conditioning session (Acute) or 24hr after the CPP test (CPP) (Fig. 2A). As expected, acute cocaine increased locomotion (Fig. S2A) and repeated pairing of cocaine induced a significant place preference compared with saline (Fig. 2B). Individual mice showed variable preference magnitude after CPP training (Fig. 2B), and when analyzed with individual immunostaining data, CPP score was positively correlated with the number of both PV+ cells and PV+/WFA+ cells within NAc (Fig. 2C,D). These data suggest that NAc PVINs with PNNs may set thresholds for reward-motivated behaviors in adult mice.
Figure 2.

Adult NAc PNNs are remodeled following cocaine experience. A) Representative PV (red) and WFA (cyan) immunostaining. B) CPP cocaine mice showed a significant preference for the drug-paired chamber (rmANOVA Time Point × Treatment interaction, F(1, 11)=11.89, p<0.01; **p<0.01 by Bonferroni’s post-hoc test; n=6–7 mice/group). The magnitude of CPP score was positively correlated with the density of PV+ cells per NAc region of interest (ROI), bounded by anatomical landmarks (C; Pearson’s correlation saline R2=0.016, p=0.79; cocaine R2=0.695, p=0.04; n=6–7 mice/group), and PV+/WFA+ cells per NAc ROI (D; Pearson’s correlation saline R2=0.062, p=0.59; cocaine R2=0.788, p=0.02; n=6–7 mice/group). PV+ cells from CPP cocaine mice had increased PV intensity (E) and decreased WFA signal (F) compared to Acute cocaine or CPP saline mice (Kruskal-Wallis statistic>18.3, p<0.001; **p<0.01, ***p<0.001, ****p<0.0001 by Dunn’s post-hoc test; n=423–603 cells from 6–7 mice/group). G) Mean loose ECM WFA intensity was increased in CPP mice (2-way ANOVA main effect of Time Point, F(1, 21)=10.33, p<0.01), but there was no effect of cocaine treatment (2-way ANOVA Treatment main or interaction effect, F(1, 21)<0.6, p>0.46; n=6–7 mice/group).
The correlation between PV+ or PV+/WFA+ neurons and CPP score was not due to a cocaine- or training-dependent change in the number of these cells, because the average number of PV+ and PV+/WFA+ neurons in the NAc did not differ between treatment groups (Fig. S2B,C). However, there were significant differences in the intensity of immunostaining in mice that underwent CPP. PV intensity was increased in the cocaine CPP group (Fig. 2E), which is notable in light of prior studies showing that changes in hippocampal PVIN PV expression during spatial learning correlates with changes in their synaptic inputs (48). By contrast, WFA staining in PVIN PNNs was weaker in the cocaine CPP mice (Fig. 2F). This was not due to a general loss of NAc ECM, because WFA signal in loose ECM was actually elevated in mice that had been through CPP testing (Fig. 2G). These data show a dynamic regulation of CSPG ECM in the NAc over the course of CPP and further indicate that ECM-regulatory mechanisms local to NAc PVINs are associated with CPP.
Cell-autonomous synthesis and cleavage of GPI-linked Brevican in PVINs of NAc
PNN integrity depends on the balance between expression and degradation of PNN components. The local reduction of WFA intensity around PVINs in cocaine CPP led us to investigate genes encoding PNN proteins and remodeling enzymes that are selectively expressed in PVINs and regulated by psychostimulant exposure.
Among the CSPGs, PVINs of the adult rodent NAc are enriched for expression of both Acan and Bcan relative to other NAc cells; between these, Bcan is more highly expressed (12,49). However, little is known about the expression of Bcan isoforms in NAc. To assess the expression of secreted and GPI-linked BCAN within adult NAc PVINs, we designed custom RNAscope probes targeting either secreted Bcan1-exclusive exons or the alternative 3’UTR in GPI-linked Bcan2 (Fig. 3A). In adult NAc, similar to hippocampus (21), Bcan transcripts are found in virtually all Pvalb+ cells and more sparsely in surrounding Pvalb− cells (Fig. 3B). Compared to surrounding Bcan+/Pvalb− cells, which are probably astrocytes and polydendrocytes (49), Pvalb+ cells express greater than 2-fold more Bcan2 (Fig. 3C) and a small fraction of Bcan1 (Fig. 3D), demonstrating that transcripts for GPI-linked BCAN2 are markedly enriched in PVINs in the adult mouse NAc.
Figure 3.

Expression of Bcan isoforms in NAc Pvalb+ cells. A) Schematic of Bcan1 and Bcan2 isoform transcripts, and target regions of the Bcan1 (cyan) and Bcan2 (magenta) isoform-specific RNAscope probes. B) Representative RNAscope signal for Pvalb (green), Bcan2 (magenta), and Bcan1 (cyan) probes in adult NAc tissue. Nuclei are labeled with DAPI (blue). Example Pvalb+ (left) and Pvalb−/Bcan1+ (right) cells are shown. Scale bar = 5μm. C) Pvalb+ nuclei have significantly more Bcan2 transcripts/cell (C) and significantly fewer Bcan1 transcripts/cell (D) than Pvalb−/Bcan1+ nuclei (p<0.0001 by Mann Whitney U test, n=49–68 cells/group from 4 mice). Data graphed are from the Acute Saline group in Fig. 5.
Next, we considered the two major PNN-degrading enzyme families: the matrix metalloproteinases (MMPs) and the disintegrin and metalloproteinase with thrombospondin motifs (ADAMTS) family (50–55) (Fig. 4A). Adult NAc PVINs are enriched for transcripts encoding eight ADAMTSs and two MMPs (Table S1). Of these, only Adamts15 is significantly upregulated following psychostimulant exposure (12). ADAMTS15 cleaves ACAN (56) and VCAN (57), but whether it can also cleave BCAN was unknown. Furthermore, though ADAMTSs are major in vivo regulators of BCAN (55,58), prior assays of bulk brain tissue could neither distinguish fragments originating from BCAN1 or BCAN2, nor BCAN fragments originating from loose ECM or PNNs.
Figure 4.

Cleavage of BCAN by an ADAMTS family member. A) Schematic of HA-tagged BCAN1 and BCAN2 constructs. Consensus MMP and ADAMTS cleavage sites are indicated by arrows, and amino acid coordinates of HA-tagged constructs, with the predicted molecular weight of the HA-tagged cleavage product for each site. B) Representative blot of BCAN1-HA conditioned media incubated with Neuro2a cells expressing empty pcDNA, ADAMTS15 wild-type (WT), or ADAMTS15E362A, probed with anti-HA. C) BCAN1-HA conditioned medium showed a significantly greater proportion of HA signal in the 55kD band compared to the 145kD band in the ADAMTS15 condition relative to the pcDNA control (ANOVA F(2, 6)=9.218, p=0.015; **p<0.01 by Dunnett’s post-hoc test; n=3 wells/condition). D) Representative HA blot of cell lysates (Ly) and conditioned medium (CM) from Neuro2a cells expressing BCAN2-HA and either pcDNA or ADAMTS15. Consistent proportions of CM and Ly were loaded for each sample. E) A significantly greater proportion of BCAN2-HA signal was seen in the CM 55kD band compared to the Ly 100–125kD bands in the ADAMTS15 condition compared to pcDNA control (Student’s t-test, *p=0.0199; n=7 wells/condition from 2 independent experiments). F) Schematic of viral strategy for detecting cleavage fragments of BCAN2-HA expressed specifically in adult NAc PVINs. G) Representative immunostaining showing immunoreactivity of HA (magenta) specifically in the membrane of PV+ (green) cells of infected NAc in PV-Cre mice. Nuclei are labeled with Hoechst dye (blue). Scale bar = 25μm. H) HA western blot of NAc protein isolated from 2 mice expressing BCAN2-HA in NAc PVINs, BCAN1-HA/ADAMTS15 CM, BCAN2-HA/ADAMTS15 CM, and NAc protein isolated from a control mouse. * indicates non-specific bands.
To determine if ADAMTS15 can cleave BCAN, we incubated conditioned media from Neuro2a cells expressing HA-tagged, secreted BCAN (BCAN1-HA; Fig. 4A) with Neuro2A cells transfected with empty pcDNA, ADAMTS15, or the enzymatically dead mutant ADAMTS15E362A (56). Wild-type or mutant ADAMTS15 was detected in both zymogen and mature forms (59) (Fig. S3A,B). In BCAN1-HA conditioned media, two specific, HA-immunoreactive bands were seen at ~145kD and 55kD, as expected for full-length and ADAMTS-cleaved BCAN1-HA (Fig. 4A,B), and we quantified the proportion of 145kD and 55kD signal to measure brevicanase activity. Overexpression of wild-type, but not mutant, ADAMTS15 increased brevicanase activity above endogenous levels (Fig. 4C). To determine whether ADAMTS15 can also cleave GPI-linked BCAN2, we co-transfected Neuro2a cells with HA-tagged BCAN2 (BCAN2-HA; Fig. 4A) and either pcDNA or ADAMTS15. We observed two HA-immunoreactive bands at ~100–125kD in the cell lysate, and one band at ~55kD in the conditioned medium, consistent with full-length and ADAMTS-cleaved BCAN2-HA (Fig. 4D; Fig. S3C–E). Cells overexpressing ADAMTS15 again showed greater brevicanase activity (Fig. 4E).
To determine whether BCAN2 expressed by NAc PVINs is cleaved by ADAMTSs in vivo, we injected a Cre-inducible BCAN2-HA-expressing AAV (21) into the NAc of PV-Cre mice (Fig. 4F–G), and assessed HA-immunoreactive protein fragments by western blot. NAc samples from AAV-DIO-BCAN2-HA mice showed HA-immunoreactive bands at 145kD and 55kD that were absent in protein from uninfected NAc, consistent with the fragment produced when BCAN2-HA is co-expressed with ADAMTS15 (Fig. 4H). These data indicate that ADAMTS family members, including the psychostimulant-inducible and PVIN-enriched Adamts15, can remodel PNNs containing GPI-linked BCAN2 on NAc PVINs in vivo.
To further determine how cocaine experience affects expression of Bcan isoforms, we performed in situ hybridization on NAc tissue harvested 3hr after a single cocaine dose, or 24hr after the CPP test. 3hr after acute cocaine, Pvalb+ cells have more Pvalb transcripts per cell compared to saline controls (Fig. 5B). This is driven by a subset of Pvalb+ cells consistent with the proportion in which psychostimulant exposure increases action potential firing (60), and is consistent with previous reports that PV expression is regulated by increased PVIN firing (61). Within Pvalb+ cells, there is also an increase in Bcan2 transcripts 3hr after acute cocaine (Fig. 5C). The distribution of Bcan1 transcripts per cell was slightly right-shifted, but this effect was not significant when comparing mean transcripts/cell/mouse between treatment groups (Fig. 5D). Transcription of Pvalb and Bcan2 within individual cells appears to be co-regulated, as there is no drug-induced change in the positive correlation between Pvalb and Bcan2 transcripts in single cells (Fig. 5E). In Pvalb− cells 3hr after cocaine, no changes were seen in Bcan2 expression (Fig. 5F), but Bcan1 transcripts were increased (Fig. 5G). 24hr after the CPP test, no cocaine-dependent change was observed for Pvalb, Bcan2, or Bcan1 in either cell type (Fig. 5H–M). These data show that Bcan transcription is upregulated acutely after cocaine exposure in an isoform-specific and cell-type specific manner, where Bcan1 increases in putative glia, and Bcan2 increases in NAc PVINs.
Figure 5.

Bcan transcription is regulated after acute cocaine treatment in an isoform- and cell-type-specific manner. A) Representative RNAscope in situ signal for Pvalb+ (left panels) and Bcan1+/Pvalb− cells (right panels) from mice collected 3hr after an acute dose of saline or cocaine, or 24hr after the CPP test. B) 3hr after acute cocaine treatment, the distribution of Pvalb transcripts per Pvalb+ cell becomes right-shifted (****p<0.0001 by Mann Whitney U test, n=73–87 cells from 4 mice/group), and the average number of Pvalb transcripts/cell/mouse is significantly increased (inset, **p=0.003 by Student’s t test, n=4 mice/group), compared to saline controls. These data are from the same animals and experiment, and graphed to illustrate both the distribution of cells within the overall population of PVINs, as well as the average values per mouse. C,D) as in (B), but graphing the number of Bcan2 transcripts (C; *p=0.025 by Mann Whitney U test; inset, **p=0.008 by Student’s t test) or Bcan1 transcripts (D; **p=0.003 by Mann Whitney U test; inset, p=0.118 by Student’s t test) within the same Pvalb+ cells graphed in (B). E) Cell-by-cell counts of Pvalb and Bcan2 transcripts are positively correlated (Pearson’s correlation R2=0.103, p<0.0001, n=160 cells from 8 mice) across both acute saline and acute cocaine conditions, while there is no difference in the linear regressions between treatment groups (ANCOVA slopes F(1, 156)=0.271, p=0.603; intercepts F(1, 157)=0.588, p=0.444). Within Pvalb−/Bcan1+ cells, there are no changes seen in the number of Bcan2 transcripts (F), but there is a significant increase in Bcan1 transcripts/cell (G; *p=0.012 by Mann Whitney U test, n=73–95 cells from 4 mice/group; inset, *p=0.025 by Student’s t test, n=4 mice/group) 3hr after acute cocaine treatment. 24hr after the CPP test, there are no differences detected in the number of Pvalb (H), Bcan2 (I), or Bcan1 (J) transcripts within Pvalb+ cells (n=67–90 cells from 4–5 mice/group). K) Pvalb and Bcan2 transcripts are positively correlated at this time point (Pearson’s correlation R2=0.0836, p<0.001, n=157 cells), with no significant effect of treatment (ANCOVA slopes F(1, 153)=0.05208, p=0.820; intercepts F(1, 154)=0.7044, p=0.403). No differences in Bcan2 (L) or Bcan1 (M) transcripts were detected in Pvalb−/Bcan1+ cells 24hr after the CPP test (n=70–95 cells from 4–5 mice/group).
BCAN expression in PVINs of the adult NAc maintains excitatory synaptic drive
In developing hippocampus, BCAN2 cell-autonomously promotes the formation of excitatory inputs on PVINs (21). We observe that Bcan2 is selectively upregulated in NAc PVINs following acute cocaine (Fig 5) and that repeated cocaine persistently increases PV protein expression (Fig 2), which in hippocampus is associated with increased PVIN excitatory inputs (48). To determine whether BCAN expression in NAc PVINs has a role in maintaining excitatory synapses in the adult, we used Cre-dependent AAV shRNA constructs (21) to knockdown BCAN mRNA in NAc PVINs of adult PV-Cre mice (Fig. 6A–G). Knocking down BCAN decreased WFA signal around virally transduced (mCherry+) neurons, supporting the hypothesis that cell-autonomous synthesis of CSPG proteins by PVINs is essential for PNN integrity (Fig. 6H,I). Next, we stained pre- (VGlut1, VGlut2, VGAT) and post- (PSD95, Gephyrin) synaptic markers of major excitatory and inhibitory input populations (Fig. 7A) and quantified the density of colocalized puncta around mCherry+ PVIN somata (Fig. 7B–D). shBcan cells had decreased densities of both VGlut1+/PSD95+ (Fig. 7B) and VGlut2+/PSD95+ puncta (Fig. 7C) compared with shLacZ controls. By contrast there was no effect on VGAT+/Gephyrin+ puncta (Fig. 7D), indicating that this loss was selective for excitatory synapses.
Figure 6.

Validation of BCAN knock-down in adult NAc PVINs. A) Schematic of viral strategy for BCAN knock-down. B) Representative immunostaining showing colocalization of PV (green) and viral mCherry (magenta). Nuclei are labeled with Hoechst dye (blue). Scale bar = 10μm. C) Schematic of the Bcan1 and Bcan2 isoform transcripts, and target regions of the Bcan probe (black). This probe labels both Bcan isoforms to different degrees; as a result, transcript numbers cannot be consistently estimated from Bcan RNAscope signal intensity, and we reverted to relative signal intensity measurements. D) Representative RNAscope labeling of Bcan (green), nuclei (blue), and overlaid immunostaining for mCherry (white). Arrowheads indicate mCherry+ cells. Scale bar = 5μm. E) Bcan signal was significantly lower in mCherry+ cells from shBcan mice compared to shLacZ controls (**p=0.009 by Mann Whitney U test, n=44–59 cells/condition). F) Representative immunostaining of BCAN (green) and viral mCherry (white) in NAc of viral mice. Nuclei are labeled with Hoechst dye (blue). Scale bar = 10μm. G) mCherry+ cells from shBcan mice have significantly less BCAN signal compared to shLacZ controls (****p<0.0001 by Student’s t test, n=16–28 cells from 2–4 mice/group). H) Representative WFA (green) and mCherry (white) immunostaining in NAc of shBcan and shLacZ mice. Nuclei are labeled with Hoechst dye (blue). Scale bar = 10μm. I) mCherry+ cells from shBcan mice have significantly less WFA signal compared to shLacZ controls (***p=0.0008 by Mann Whitney U test, n=6–12 cells from 4 mice/group).
Figure 7.

BCAN knock-down decreases adult NAc PVIN excitatory drive. A) Representative immunostaining (left) and processed synaptic marker masks (right) of VGlut1 or VGlut2 (magenta), PSD95 (green), VGAT (cyan), Gephyrin (red), and mCherry (gray). Arrowheads indicate colocalized pre- and post-synaptic puncta. Scale bar = 2μm. shBcan mice have lower average densities of of VGlut1+/PSD95+ synaptic puncta (B; **p=0.0075 by Student’s t test, n=5 mice/group) and VGlut2+/PSD95+ synaptic puncta (C; **p=0.0022 by Student’s t test, n=5 mice/group), but not VGAT+/Gephyrin+ puncta (D; p=0.8401 by Student’s t test, n=4–6 mice/group) compared to shLacZ controls. E) Representative mEPSC current traces from shLacZ (gray) and shBcan (salmon) cells. BCAN knock-down significantly reduced mEPSC frequency (F; t=4.032, F(1,11)=16.25, **p=0.002 by nested t test), but not amplitude (G; t=1.623, F(1,11)=2.635, p=0.1328 by nested t test). E-G, n=8–13 cells from 4–9 mice/group. H) Representative Fos (green) and mCherry (magenta) immunostaining in NAc 2hr after an acute dose of saline or cocaine in shLacZ or shBcan mice. Scale bar = 50μm. I) Cocaine treatment significantly increased the fraction of mCherry+ cells that were also Fos+ in shLacZ, but not shBcan, mice (2-way ANOVA Virus × Treatment interaction F(1, 24)=17.29, p=0.0004; ****p<0.0001 by Bonferroni’s post-hoc test). J) Cocaine increased the number of Fos+ cells in NAc compared to saline treatment (2-way ANOVA main effect of Treatment F(1, 24)=5.147, p=0.0326), but there was no effect of viral condition (2-way ANOVA Virus main or interaction effect F(1, 24)<0.227, p>0.638). H-J, n=6–8 mice/group.
To determine whether structural differences in synapse number corresponded to functional changes in excitatory input onto NAc PVINs, we recorded mEPSCs from PVINs expressing shLacZ or shBcan. BCAN knockdown markedly decreased the frequency (Fig. 7E,F) but not the amplitude (Fig. 7G) of mEPSCs, consistent with the observed decrease in physical synaptic contacts. There were no changes in other properties of recorded mEPSCs (Table S3), though there was a trending increase in PVIN input resistance (Table S3), which is a predictable consequence of decreased excitatory synaptic input (62).
Finally, we asked whether BCAN knockdown impaired NAc PVINs’ in vivo response to cocaine, as indicated by expression of the neural activity-inducible protein Fos (63). Two hours after treatment, cocaine increased the fraction of mCherry+ cells that were Fos+ in shLacZ mice, but this effect was absent in shBcan mice (Fig. 7I). Reduced Fos induction was specific to PVINs because cocaine treatment increased the total number of Fos+ cells throughout the NAc in both control and PVIN-specific BCAN knockdown mice (Fig. 7J). Together, these data demonstrate a key role for BCAN2 in adult NAc PVINs in regulating their excitatory synaptic inputs and their likelihood for activation in response to cocaine in vivo.
BCAN knock-down in adult NAc PVINs accelerates reward learning
To assess the behavioral consequences of regulating BCAN in adult NAc PVINs, we tested NAc shLacZ control and shBcan knockdown mice for accumbens-related phenotypes. At baseline, relative to control, shBcan mice showed no difference in locomotion, anxiety-like behavior, or depression-like behavior in open field, elevated zero maze, or tail suspension tests (Fig. S4A–H). In novel object exploration, both shLacZ mice and shBcan mice preferred a novel object 30min and 24hr after the original exposure to a comparison familiar object. However, while their preferences were similar after 24hr, shBcan mice showed enhanced novel object preference after 30min (Fig. 8B). There were no differences in locomotion between groups, suggesting that novelty exploration did not merely reflect greater overall arousal in shBcan mice (Fig. S4I) and might instead indicate accelerated reward-based learning.
Figure 8.

BCAN knock-down accelerates reward learning in response to both physiological and drug rewards. A) Schematic of Novel Object Recognition paradigm. B) While both shLacZ and shBcan mice showed a significant preference for the novel object at both tests (Mixed-effects model main effect of Phase F(1.697, 46.66)=31.29, p<0.0001; shLacZ 30min, 24hr vs Training p<0.001; shBcan 30min, 24hr vs Training p<0.01 by Bonferroni’s post-hoc tests), shBcan mice showed a stronger preference at 30 min compared to shLacZ controls (Mixed-effects model Phase x Virus interaction F(2, 55)=3.959, p=0.0248; *p=0.0382 by Bonferroni’s post-hoc test; n=12–18 mice/group/time point). C) Schematic of CPP paradigm with test trials (10min) interleaved between conditioning sessions (30min). Exp, experimental animals; Ctrl, saline-only control animals. D) Cocaine-conditioned shLacZ mice display a significant preference after 3 conditioning sessions, while shBcan mice display a significant preference after a single conditioning session, which is maintained for the remainder of the paradigm (rmANOVA Day × Group interaction F(9, 102)=4.134, p=0.0001; #p=0.0149 shLacZ Test vs Acclimation; *p=0.0116, **p=0.0033, ***p=0.0008 shBcan Test vs Acclimation by Bonferroni’s post-hoc tests; n=9–11 mice/group). E) Cocaine treatment significantly increased the average number of infrared beambreaks on each treatment day (Mixed-effects model Day x Group interaction F(15, 160)=10.55, p<0.001; *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001 vs saline controls; within-virus comparisons of Coc 1, 2, 3 p>0.999 by Bonferroni’s post-hoc tests; n=8–10 mice/group/time point).
To directly test this hypothesis, we asked whether loss of BCAN in NAc PVINs would alter the development of cocaine CPP. To monitor the development of CPP we interleaved 10min test sessions after each round of conditioning, and we used a moderate dose of cocaine (10mg/kg) to avoid ceiling effects. As expected, saline-conditioned mice showed no chamber preference over the course of the paradigm (Fig. 8D). Cocaine-conditioned shLacZ mice displayed a significant preference for the drug-paired chamber after 3 conditioning sessions (Fig. 8D). However, cocaine-conditioned shBcan mice preferred the drug-paired chamber after just one round of conditioning, and this preference was maintained for the remainder of the paradigm (Fig. 8D). There was no effect of viral group on cocaine-induced locomotion (Fig. 8E), demonstrating that loss of BCAN in NAc PVINs does not enhance the acute pharmacological response to cocaine, but rather impacts how cocaine experience is encoded into place associations over the course of learning. Thus, BCAN knockdown in NAc PVINs accelerates motivated learning in two behavioral settings, novel object recognition and cocaine CPP.
Discussion
Here, we report that PNNs around NAc PVINs emerge during adolescence and are dynamically and locally remodeled over the course of cocaine CPP in adult mice via the acutely induced transcription of Bcan2 and its regulatory enzyme Adamts15 in NAc PVINs. Using cell-autonomous manipulations, we identified a specific role for BCAN in regulating NAc PVIN excitatory synaptic inputs and reward-motivated learning in adult mice. These data suggest that stimulus-dependent regulation of PNNs in the adult NAc tunes PVIN synaptic connectivity and regulates thresholds for reward learning.
The developmental emergence of NAc PNNs mimics the experience-driven maturation of PVINs and PNNs in cortex that closes critical periods for sensory plasticity (18,64). The size of the PV+/WFA+ population further correlates with the magnitude of cocaine CPP in adult mice, suggesting that variability in NAc PVIN maturation establishes the potential range of adult reward-seeking behavior. Direct perturbation of NAc PNNs through BCAN knockdown is sufficient to accelerate learning in response to both novelty and cocaine. These data further raise the possibility that developmental exposures that compromise the maturation of NAc PVINs and their PNNs may persistently adjust thresholds for addictive behaviors later in life.
Our data showing regulation of adult NAc PV and WFA labeling during cocaine CPP complement studies demonstrating psychostimulant-induced changes in WFA and PV labeling in prelimbic PFC (47) or WFA labeling in cerebellum (65). In contrast to our behavioral results, enzymatic manipulation of CSPGs in these areas impairs cocaine seeking (32,35), demonstrating that the role of PNNs varies according to the role of PVINs in specific circuits. To our knowledge, only one other study has demonstrated enhanced acquisition of associative learning after PNN perturbation, specifically CSPG degradation in dorsal striatum (37). A difference between those studies and ours is that we used intersectional genetic methods to knock out single PNN components in specific cell populations of the adult mouse brain. This is important because regulation of distinct CSPGs may have differential consequences for PVINs and circuit function. For example, a recent study augmented adult fear memory extinction by briefly manipulating Acan expression in mPFC PVINs (66). Future studies that address functions of the PNN components at different times and in distinct brain regions will advance understanding of the cellular and circuit consequences of these structures.
Psychostimulants acutely drive transcription of both Bcan2 and its regulatory enzyme Adamts15 in NAc PVINs, revealing a mechanism by which cocaine exposure can lead to local remodeling of PNNs early in cocaine association learning. Knockdown of BCAN in adult NAc PVINs accelerated reward learning, but did not affect the final learned behavior, further supporting the idea that changes in NAc PVIN physiology and synaptic drive may primarily tune the early stages of reward association learning. Loss of BCAN expression in adulthood destabilizes both VGlut1+ and VGlut2+ synaptic inputs to PVIN somata, potentially via mislocalization of AMPA receptor subunits (21). Together, these data suggest that BCAN expression in NAc PVINs may act as a brake on processes which selectively affect specific NAc PVIN inputs following drug experience (5). Changes in the feed-forward inhibition motif in NAc—such as alterations to the relative excitatory drive to PVINs and SPNs from specific inputs (5,8)—likely affect the coordinated firing of different SPN ensembles that underlie the expression of reward-motivated behaviors. We predict that interfering with NAc PVIN PNN remodeling, such as by overexpressing a non-cleavable BCAN2 in PVINs, modeled on prior studies of BCAN1 (55), may be able to slow this process, and thus slow the acquisition of addiction-like behaviors.
Although Bcan2 transcription is acutely induced in a subset of PVINs after acute cocaine, overall PNN staining is decreased after repeated exposure, indicating that the balance of PNN component expression and degradation is eventually shifted toward degradation. This may be due in part to more persistent changes in NAc PVIN physiology (5,10) and the decay of psychostimulant-induced transcription after repeated exposure (67). Additionally, non-cell autonomous mechanisms may contribute to changes in ECM, including expression of PNN components, MMPs, and ADAMTSs by surrounding glia. Indeed, MMP activity has been shown to locally regulate SPN synapses during later stages of addiction-like paradigms (68–72). While our data show a primary role for NAc PVIN PNNs early in reward learning, consequences for persistent changes in these structures remain to be explored.
The data presented here support an emerging model in the field where PNNs, rather than statically restricting circuit plasticity, are dynamic structures that make important contributions to PVIN synaptic inputs and circuit output. In NAc, this process is controlled at least in part by cell-autonomous mechanisms to allow experience-dependent regulation of adult PVIN synaptic connectivity.
Limitations
BCAN knockdown is reported to decrease PV expression (22), which could contribute to the learning phenotypes described here. We did not determine whether the expression of other PNN component CSPGs such as ACAN were disrupted in our BCAN knockdown neurons. Although our studies included mice of both sexes (Table S4), they were not powered to detect potential sex differences in the outcome measures. Finally, our analysis of motivated behaviors did not extend to operant conditioning paradigms such as cocaine self-administration.
Supplementary Material
Acknowledgements and Disclosures
This work was supported by the National Institutes of Health (NIH) grants R01DA047115 (AEW), R01NS110059 (NC), and F31DA049442 (MH), and the National Science Foundation (NSF) grant DGE-1644868 (VH).
Studies were conceived of by MH and AEW. MH, AEW, NC and VH contributed to experimental design and interpretation. Data was collected by MH, VH, AH, and EP. Data was analyzed by MH and VH. The manuscript was written by MH and AEW with editorial contributions from all authors.
The data presented in Table S1 were previously published in (12).
We thank the Duke Viral Vector Core and the Duke Behavioral and Neuroendocrine Core facilities for their assistance, Dr. David Gallegos for his invaluable feedback on the studies and manuscript, Dr. Rick Matthews for discussions, and Grace Link for her assistance in performing a subset of the viral surgeries for synapse quantification. We also thank Dr. Dylan R. Edwards and Dr. Beatriz Rico for their generous donation of plasmids.
Footnotes
The authors report no biomedical financial interests or potential conflicts of interest.
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References
- 1.Castro DC, Bruchas MR (2019): A Motivational and Neuropeptidergic Hub: Anatomical and Functional Diversity within the Nucleus Accumbens Shell. Neuron 102: 529–552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Robison AJ, Nestler EJ (2011): Transcriptional and epigenetic mechanisms of addiction. Nat Rev Neurosci 12: 623–637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schall TA, Wright WJ, Dong Y (2021): Nucleus accumbens fast-spiking interneurons in motivational and addictive behaviors. Mol Psychiatry 26: 234–246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Wang X, Gallegos DA, Pogorelov VM, O’Hare JK, Calakos N, Wetsel WC, West AE (2017): Parvalbumin Interneurons of the Mouse Nucleus Accumbens are Required for Amphetamine-Induced Locomotor Sensitization and Conditioned Place Preference. Neuropsychopharmacology 43: 953–963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Yu J, Yan Y, Li K-L, Wang Y, Huang YH, Urban NN, et al. (2017): Nucleus accumbens feedforward inhibition circuit promotes cocaine self-administration. PNAS 114: E8750–E8759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Trouche S, Koren V, Doig NM, Ellender TJ, El-Gaby M, Lopes-dos-Santos VV, et al. (2019): A Hippocampus-Accumbens Tripartite Neuronal Motif Guides Appetitive Memory in Space. Cell 176: 1393–1406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pisansky MT, Lefevre EM, Retzlaff CL, Trieu BH, Leipold DW, Rothwell PE (2019): Nucleus Accumbens Fast-Spiking Interneurons Constrain Impulsive Action. Biol Psychiatry 86: 836–847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Scudder SL, Baimel C, Macdonald EE, Carter AG (2018): Hippocampal-Evoked Feedforward Inhibition in the Nucleus Accumbens. J Neurosci 38: 9091–9104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chen X, Liu Z, Ma C, Ma L, Liu X (2019): Parvalbumin Interneurons Determine Emotional Valence Through Modulating Accumbal Output Pathways. Front Behav Neurosci 13: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Winters BD, Kruger JM, Huang X, Gallaher ZR, Ishikawa M, Czaja K, et al. (2012): Cannabinoid receptor 1-expressing neurons in the nucleus accumbens. PNAS 109: E2717–E2725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Sorg BA, Berretta S, Blacktop JM, Fawcett JW, Kitagawa H, Kwok JCF, Miquel M(2016): Casting a Wide Net: Role of Perineuronal Nets in Neural Plasticity. J Neurosci 36: 11459–11468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Gallegos DA, Minto M, Liu F, Hazlett MF, Yousefzadeh SA, Bartelt LC, West AE (2023): Cell-type specific transcriptional adaptations of nucleus accumbens interneurons to amphetamine. Mol Psychiatry 28: 3414–3428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Devienne G, Picaud S, Cohen I, Piquet J, Tricoire L, Testa D, et al. (2021): Regulation of Perineuronal Nets in the Adult Cortex by the Activity of the Cortical Network. J Neurosci 41: 5779–5790. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dityatev A, Bruckner G, Dityateva G, Grosche J, Kleene R, Schachner M (2007): Activity-Dependent Formation and Functions of Chondroitin Sulfate-Rich Extracellular Matrix of Perineuronal Nets. Dev Neurobiol 67: 570–588. [DOI] [PubMed] [Google Scholar]
- 15.McRae PA, Rocco MM, Kelly G, Brumberg JC, Matthews RT (2007): Sensory Deprivation Alters Aggrecan and Perineuronal Net Expression in the Mouse Barrel Cortex. J Neurosci 27: 5405–5413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Beurdeley M, Spatazza J, Lee HHC, Sugiyama S, Bernard C, Di Nardo AA, et al. (2012): Otx2 Binding to Perineuronal Nets Persistently Regulates Plasticity in the Mature Visual Cortex. J Neurosci 32: 9429–9437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Sugiyama S, Di Nardo AA, Aizawa S, Matsuo I, Volovitch M, Prochiantz A, Hensch TK (2008): Experience-Dependent Transfer of Otx2 Homeoprotein into the Visual Cortex Activates Postnatal Plasticity. Cell 134: 508–520. [DOI] [PubMed] [Google Scholar]
- 18.Reh RK, Dias BG, Nelson CA, Kaufer D, Werker JF, Kolb B, et al. (2020): Critical period regulation across multiple timescales. PNAS 117: 23242–23251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mueller-Buehl C, Reinhard J, Roll L, Bader V, Winklhofer KF, Faissner A (2022): Brevican, Neurocan, Tenascin-C, and Tenascin-R Act as Important Regulators of the Interplay Between Perineuronal Nets, Synaptic Integrity, Inhibitory Interneurons, and Otx2. Front Cell Dev Biol 10: 1–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Frischknecht R, Heine M, Perrais D, Seidenbecher CI, Choquet D, Gundelfinger ED(2009): Brain extracellular matrix affects AMPA receptor lateral mobility and short-term synaptic plasticity. Nat Neurosci 12: 897–904. [DOI] [PubMed] [Google Scholar]
- 21.Favuzzi E, Marques-Smith A, Deogracias R, Winterflood CM, Sánchez-Aguilera A, Mantoan L, et al. (2017): Activity-Dependent Gating of Parvalbumin Interneuron Function by the Perineuronal Net Protein Brevican. Neuron 95: 639–655. [DOI] [PubMed] [Google Scholar]
- 22.Carulli D, Pizzorusso T, Kwok JCF, Putignano E, Poli A, Forostyak S, et al. (2010): Animals lacking link protein have attenuated perineuronal nets and persistent plasticity. Brain 133: 2331–2347. [DOI] [PubMed] [Google Scholar]
- 23.Pizzorusso T, Medini P, Berardi N, Chierzi S, Fawcett JW, Maffei L (2002): Reactivation of Ocular Dominance Plasticity in the Adult Visual Cortex. Science 298: 1248–1251. [DOI] [PubMed] [Google Scholar]
- 24.Rowlands D, Lensjø XKK, Dinh T, Yang S, Andrews MR, Hafting T, et al. (2018): Aggrecan Directs Extracellular Matrix-Mediated Neuronal Plasticity. J Neurosci 38: 10102–10113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Wang D, Fawcett J (2012): The perineuronal net and the control of cns plasticity. Cell Tissue Res 349: 147–160. [DOI] [PubMed] [Google Scholar]
- 26.Slaker M, Blacktop JM, Sorg BA (2016): Caught in the net: Perineuronal nets and addiction. Neural Plast 2016: 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Fawcett JW, Oohashi T, Pizzorusso T (2019): The roles of perineuronal nets and the perinodal extracellular matrix in neuronal function. Nat Rev Neurosci 20: 451–465. [DOI] [PubMed] [Google Scholar]
- 28.Pignataro A, Pagano R, Guarneri G, Middei S, Ammassari-Teule M (2017): Extracellular matrix controls neuronal features that mediate the persistence of fear. Brain Struct Funct 222: 3889–3898. [DOI] [PubMed] [Google Scholar]
- 29.Gogolla N, Caroni P, Lüthi A, Herry C (2009): Perineuronal nets protect fear memories from erasure. Science 325: 1258–1261. [DOI] [PubMed] [Google Scholar]
- 30.Xue YX, Xue LF, Liu JF, He J, Deng JH, Sun SC, et al. (2014): Depletion of perineuronal nets in the amygdala to enhance the erasure of drug memories. J Neurosci 34: 6647–6658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Blacktop JM, Todd RP, Sorg BA (2017): Role of perineuronal nets in the anterior dorsal lateral hypothalamic area in the acquisition of cocaine-induced conditioned place preference and self-administration. Neuropharmacology 118: 124–136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Guarque-Chabrera J, Sanchez-Hernandez A, Ibanez-Marin P, Melchor-Eixea I, Miquel M (2022): Role of Perineuronal nets in the cerebellar cortex in cocaine-induced conditioned preference, extinction, and reinstatement. Neuropharmacology 218: 109210. [DOI] [PubMed] [Google Scholar]
- 33.Shi W, Wei X, Wang X, Du S, Liu W, Song J, Wang Y (2019): Perineuronal nets protect long-term memory by limiting activity-dependent inhibition from parvalbumin interneurons. PNAS 116: 27063–27073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Banerjee SB, Gutzeit VA, Baman J, Aoued HS, Doshi NK, Liu RC, Ressler KJ (2017): Perineuronal Nets in the Adult Sensory Cortex Are Necessary for Fear Learning. Neuron 95: 169–179.e3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Slaker M, Churchill L, Todd RP, Blacktop JM, Zuloaga DG, Raber J, et al. (2015): Removal of Perineuronal Nets in the Medial Prefrontal Cortex Impairs the Acquisition and Reconsolidation of a Cocaine-Induced Conditioned Place Preference Memory. J Neurosci 35: 4190–4202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Briones BA, Pitcher MN, Fleming WT, Libby A, Diethorn EJ, Haye AE, et al. (2022): Perineuronal Nets in the Dorsomedial Striatum Contribute to Behavioral Dysfunction in Mouse Models of Excessive Repetitive Behavior. Biol Psychiatry Glob Open Sci 2: 460–469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Lee H, Leamey CA, Sawatari A (2012): Perineuronal nets play a role in regulating striatal function in the mouse. PLoS One 7: e32747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Seidenbecher CI, Richter K, Rauch U, Fassler R, Garner CC, Gundelfinger ED (1995): Brevican, a Chondroitin Sulfate Proteoglycan of Rat Brain, Occurs as Secreted and Cell Surface Glycosylphosphatidylinositol-anchored Isoforms. J Biol Chem 270: 27206–27212. [DOI] [PubMed] [Google Scholar]
- 39.Miyata S, Nadanaka S, Igarashi M, Kitagawa H (2018): Structural Variation of Chondroitin Sulfate Chains Contributes to the Molecular Heterogeneity of Perineuronal Nets. Front Integr Neurosci 12: 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Nadanaka S, Miyata S, Yaqiang B, Tamura J, Habuchi O, Kitagawa H (2020): Reconsideration of the Semaphorin-3A Binding Motif Found in Chondroitin Sulfate Using Galnac4s-6st-Knockout Mice. Biomolecules 10: 1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Lensjo KK, Christensen AC, Tennoe S, Fyhn M, Hafting T (2017): Differential Expression and Cell-Type Specificity of Perineuronal Nets in Hippocampus, Medial Entorhinal Cortex, and Visual Cortex Examined in the Rat and Mouse. eNeuro 4: 1–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Lupori L, Totaro V, Cornuti S, Ciampi L, Carrara F, Grilli E, et al. (2023): A Comprehensive Atlas of Perineuronal Net Distribution and Colocalization with Parvalbumin in the Adult Mouse Brain. Cell Rep 42: 112788. [DOI] [PubMed] [Google Scholar]
- 43.Miyamae T, Chen K, Lewis DA, Gonzalez-Burgos G (2017): Distinct Physiological Maturation of Parvalbumin-Positive Neuron Subtypes in Mouse Prefrontal Cortex. J Neurosci 37: 4883–4902. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Miyoshi G, Fishell G (2011): GABAergic Interneuron Lineages Selectively Sort into Specific Cortical Layers during Early Postnatal Development. Cereb Cortex 21: 845–852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Laviola G, Macri S, Morley-Fletcher S, Adriani W (2003): Risk-taking behavior in adolescent mice: psychobiological determinants and early epigenetic influence. Neurosci Biobehav Rev 27: 19–31. [DOI] [PubMed] [Google Scholar]
- 46.Miyata S, Komatsu Y, Yoshimura Y, Taya C, Kitagawa H (2012): Persistent cortical plasticity by upregulation of chondroitin 6-sulfation. Nat Neurosci 15: 414–422. [DOI] [PubMed] [Google Scholar]
- 47.Slaker ML, Jorgensen ET, Hegarty DM, Liu X, Kong Y, Zhang F, et al. (2018): Cocaine Exposure Modulates Perineuronal Nets and Synaptic Excitability of Fast-Spiking Interneurons in the Medial Prefrontal Cortex. eNeuro 5: 1–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Donato F, Rompani SB, Caroni P (2013): Parvalbumin-expressing basket-cell network plasticity induced by experience regulates adult learning. Nature 504: 272–276. [DOI] [PubMed] [Google Scholar]
- 49.Savell KE, Tuscher JJ, Zipperly ME, Duke CG, Phillips III RA, Bauman AJ, et al. (2020): A dopamine-induced gene expression signature regulates neuronal function and cocaine response. Sci Adv 6: 1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Stanton H, Melrose J, Little CB, Fosang AJ (2011): Proteoglycan degradation by the ADAMTS family of proteinases. Biochim Biophys Acta - Mol Basis Dis 1812: 1616–1629. [DOI] [PubMed] [Google Scholar]
- 51.Chelladurai P, Seeger W, Pullamsetti SS (2012): Matrix metalloproteinases and their inhibitors in pulmonary hypertension. Eur Respir J 40: 766–782. [DOI] [PubMed] [Google Scholar]
- 52.Jackson BC, Nebert DW, Vasiliou V (2010): Update of human and mouse matrix metalloproteinase families. Hum Genomics 4: 194–201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Nakamura H, Fujii Y, Inoki I, Sugimoto K, Tanzawa K, Matsuki H, et al. (2000): Brevican Is Degraded by Matrix Metalloproteinases and Aggrecanase-1 (ADAMTS4) at Different Sites. J Biol Chem 275: 38885–38890. [DOI] [PubMed] [Google Scholar]
- 54.Binder MJ, McCoombe S, Williams ED, Mcculloch DR, Ward AC (2020): ADAMTS-15 Has a Tumor Suppressor Role in Prostate Cancer. Biomolecules 10: 1–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Viapiano MS, Hockfield S, Matthews RT (2008): BEHAB/brevican requires ADAMTS-mediated proteolytic cleavage to promote glioma invasion. J Neurooncology 88: 261–272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Kelwick R, Wagstaff L, Decock J, Roghi C, Cooley LS, Robinson SD, et al. (2015): Metalloproteinase-dependent and -independent processes contribute to inhibition of breast cancer cell migration, angiogenesis and liver metastasis by a disintegrin and metalloproteinase with thrombospondin motifs-15. Int J Cancer 136: E14–E26. [DOI] [PubMed] [Google Scholar]
- 57.Stupka N, Kintakas C, White JD, Fraser FW, Hanciu M, Aramaki-Hattori N, et al. (2013): Versican Processing by a Disintegrin-like and Metalloproteinase Domain with Thrombospondin-1 Repeats Proteinases-5 and −15 Facilitates Myoblast Fusion. J Biol Chem 288: 1907–1917. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Ajmo JM, Bailey LA, Howell MD, Cortez LK, Pennypacker KR, Mehta HN, et al. (2010): Abnormal post-translational and extracellular processing of brevican in plaque-bearing mice over-expressing APPsw. J Neurochem 113: 784–795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Dancevic CM, Fraser FW, Smith AD, Stupka N, Ward AC, Mcculloch DR (2013): Biosynthesis and Expression of a Disintegrin-like and Metalloproteinase Domain with Thrombospondin-1 Repeats-15. J Biol Chem 288: 37267–37276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wiltschko AB, Pettibone JR, Berke JD (2010): Opposite effects of stimulant and antipsychotic drugs on striatal fast-spiking interneurons. Neuropsychopharmacology 35: 1261–1270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Cohen SM, Ma H, Kuchibhotla KV, Watson BO, Froemke RC, Tsien RW (2016): Excitation-Transcription Coupling in Parvalbumin- Positive Interneurons Employs a Novel CaM Kinase- Dependent Pathway Distinct from Excitatory Neurons. Neuron 90: 292–307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Davis GW (2006): Homeostatic Control of Neural Activity: From Phenomenology to Molecular Design. Annu Rev Neurosci 29: 307–323. [DOI] [PubMed] [Google Scholar]
- 63.Deng J V, Rodriguiz RM, Hutchinson AN, Kim IH, Wetsel WC, West AE (2010): MeCP2 in the nucleus accumbens contributes to neural and behavioral responses to psychostimulants. Nat Neurosci 13: 1128–1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Nabel EM, Morishita H (2013): Regulating critical period plasticity: Insight from the visual system to fear circuitry for therapeutic interventions. Front Psychiatry 4: 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Sanchez-Hernandez A, Nicolas C, Gil-Miravet I, Guarque-Chabrera J, Solinas M, Miquel M (2021): Time-dependent regulation of perineuronal nets in the cerebellar cortex during abstinence of cocaine-self administration. Psychopharmacology 238: 1059–1068. [DOI] [PubMed] [Google Scholar]
- 66.Lavertu-Jolin M, Chattopadhyaya B, Chehrazi P, Carrier D, Wünnemann F, Leclerc S, et al. (2023): Acan downregulation in parvalbumin GABAergic cells reduces spontaneous recovery of fear memories. Mol Psychiatry 28: 2946–2963. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Deng J V, Wan Y, Wang X, Cohen S, Wetsel WC, Greenberg ME, et al. (2014): MeCP2 Phosphorylation Limits Psychostimulant-Induced Behavioral and Neuronal Plasticity. J Neurosci 34: 4519–4527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Garcia-Keller C, Neuhofer D, Bobadilla A-C, Spencer S, Chioma V, Monforton C, Kalivas PW (2019): Extracellular Matrix Signaling Through β3 Integrin Mediates Cocaine Cue-induced Transient Synaptic Plasticity and Relapse. Biol Psychiatry 86: 377–387. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Chioma VC, Kruyer A, Bobadilla A-C, Angelis A, Ellison Z, Hodebourg R, et al. (2021): Heroin Seeking and Extinction From Seeking Activate Matrix Metalloproteinases at Synapses on Distinct Subpopulations of Accumbens Cells. Biol Psychiatry 89: 947–958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Smith ACW, Kupchik YM, Scofield MD, Gipson CD, Wiggins A, Thomas CA, Kalivas PW (2014): Synaptic plasticity mediating cocaine relapse requires matrix metalloproteinases. Nat Neurosci 17: 1655–1657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Smith ACW, Scofield MD, Heinsbroek JA, Gipson CD, Neuhofer D, Roberts-Wolfe DJ, et al. (2017): Accumbens nNOS interneurons regulate cocaine relapse. J Neurosci 37: 742–756. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Lewandowski SI, Hodebourg R, Wood SK, Carter JS, Nelson KH, Kalivas PW, Reichel CM (2023): Matrix metalloproteinase activity during methamphetamine cued relapse. Addict Biol 28: e13279. [DOI] [PMC free article] [PubMed] [Google Scholar]
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