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Zhou X, Xiao Q, Liu Y, Chen S, Xu X, Zhang Z, Hong Y, Shao J, Chen Y, Chen Y, Wang L, Yang F, Tu J. Astrocyte-mediated regulation of BLA WFS1 neurons alleviates risk-assessment deficits in DISC1-N mice. Neuron 2024:S0896-6273(24)00235-6. [PMID: 38642554 DOI: 10.1016/j.neuron.2024.03.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 02/10/2024] [Accepted: 03/27/2024] [Indexed: 04/22/2024]
Abstract
Assessing and responding to threats is vital in everyday life. Unfortunately, many mental illnesses involve impaired risk assessment, affecting patients, families, and society. The brain processes behind these behaviors are not well understood. We developed a transgenic mouse model (disrupted-in-schizophrenia 1 [DISC1]-N) with a disrupted avoidance response in risky settings. Our study utilized single-nucleus RNA sequencing and path-clamp coupling with real-time RT-PCR to uncover a previously undescribed group of glutamatergic neurons in the basolateral amygdala (BLA) marked by Wolfram syndrome 1 (WFS1) expression, whose activity is modulated by adjacent astrocytes. These neurons in DISC1-N mice exhibited diminished firing ability and impaired communication with the astrocytes. Remarkably, optogenetic activation of these astrocytes reinstated neuronal excitability via D-serine acting on BLAWFS1 neurons' NMDA receptors, leading to improved risk-assessment behavior in the DISC1-N mice. Our findings point to BLA astrocytes as a promising target for treating risk-assessment dysfunctions in mental disorders.
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Affiliation(s)
- Xinyi Zhou
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Department of Neurology, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China; The First Affiliated Hospital, Jinan University, Guangzhou 510632, China
| | - Qian Xiao
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen Key Laboratory of Neuroimmunomodulation for Neurological Diseases, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yaohui Liu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shandong Provincial Key Laboratory of Animal Resistance Biology, College of Life Sciences, Shandong Normal University, No. 88 East Wenhua Road, Jinan 250014, China
| | - Shuai Chen
- University of Chinese of Academy of Sciences, Beijing 100049, China
| | - Xirong Xu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China
| | - Zhigang Zhang
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen Key Laboratory of Neuroimmunomodulation for Neurological Diseases, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yuchuan Hong
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China
| | - Jie Shao
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Department of Neurology, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, China; The First Affiliated Hospital, Jinan University, Guangzhou 510632, China
| | - Yuewen Chen
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Yu Chen
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Liping Wang
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - Fan Yang
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
| | - Jie Tu
- CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen Key Laboratory of Neuroimmunomodulation for Neurological Diseases, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese of Academy of Sciences, Beijing 100049, China; Faculty of Life and Health Sciences, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
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Ghane M, Trambaiolli L, Bertocci MA, Martinez-Rivera FJ, Chase HW, Brady T, Skeba A, Graur S, Bonar L, Iyengar S, Quirk GJ, Rasmussen SA, Haber SN, Phillips ML. Specific Patterns of Endogenous Functional Connectivity Are Associated With Harm Avoidance in Obsessive-Compulsive Disorder. Biol Psychiatry 2024:S0006-3223(24)00078-7. [PMID: 38336216 DOI: 10.1016/j.biopsych.2023.12.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 11/11/2023] [Accepted: 12/06/2023] [Indexed: 02/12/2024]
Abstract
BACKGROUND Individuals with obsessive-compulsive disorder (OCD) show persistent avoidance behaviors, often in the absence of actual threat. Quality-of-life costs and heterogeneity support the need for novel brain-behavior intervention targets. Informed by mechanistic and anatomical studies of persistent avoidance in rodents and nonhuman primates, our goal was to test whether connections within a hypothesized persistent avoidance-related network predicted OCD-related harm avoidance (HA), a trait measure of persistent avoidance. We hypothesized that 1) HA, not an OCD diagnosis, would be associated with altered endogenous connectivity in at least one connection in the network; 2) HA-specific findings would be robust to comorbid symptoms; and 3) reliable findings would replicate in a holdout testing subsample. METHODS Using resting-state functional connectivity magnetic resonance imaging, cross-validated elastic net for feature selection, and Poisson generalized linear models, we tested which connections significantly predicted HA in our training subsample (n = 73; 71.8% female; healthy control group n = 36, OCD group n = 37); robustness to comorbidities; and replicability in a testing subsample (n = 30; 56.7% female; healthy control group n = 15, OCD group n = 15). RESULTS Stronger inverse connectivity between the right dorsal anterior cingulate cortex and right basolateral amygdala and stronger positive connectivity between the right ventral anterior insula and left ventral striatum were associated with greater HA across groups. Network connections did not discriminate OCD diagnostic status or predict HA-correlated traits, suggesting sensitivity to trait HA. The dorsal anterior cingulate cortex-basolateral amygdala relationship was robust to controlling for comorbidities and medication in individuals with OCD and was also predictive of HA in our testing subsample. CONCLUSIONS Stronger inverse dorsal anterior cingulate cortex-basolateral amygdala connectivity was robustly and reliably associated with HA across groups and in OCD. Results support the relevance of a cross-species persistent avoidance-related network to OCD, with implications for precision-based approaches and treatment.
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Affiliation(s)
- Merage Ghane
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Lucas Trambaiolli
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Henry W Chase
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tyler Brady
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Alex Skeba
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Simona Graur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Lisa Bonar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Satish Iyengar
- Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Gregory J Quirk
- School of Medicine, University of Puerto Rico, San Juan, Puerto Rico
| | - Steven A Rasmussen
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Suzanne N Haber
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, Massachusetts; School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, New York
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Quave CB, Vasquez AM, Aquino-Miranda G, Bora EP, Chidomere CL, Zhang XO, Engelke DS, Do-Monte FH. Neural signatures of opioid-induced risk-taking behavior in the prelimbic prefrontal cortex. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.05.578828. [PMID: 38370807 PMCID: PMC10871263 DOI: 10.1101/2024.02.05.578828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Opioid use disorder occurs alongside impaired risk-related decision-making, but the underlying neural correlates are unclear. We developed a novel approach-avoidance conflict model using a modified conditioned place preference paradigm to study neural signals of risky opioid seeking in the prefrontal cortex, a region implicated in executive decision making. Upon establishment of morphine conditioned place preference, rats underwent a subsequent conflict test in which fear-inducing cat odor was introduced in the previously drug-paired side of the apparatus. While the saline control group avoided the cat odor side, the morphine group maintained preference for the paired side despite the presence of cat odor. K-means clustering identified two subsets of morphine-treated rats that exhibited either persistent drug seeking (Risk-Takers) or increased avoidance (Risk-Avoiders) during conflict. Single-unit recordings from the prelimbic cortex (PL) revealed decreased neuronal firing rates upon acute morphine exposure in both Risk-Takers and Risk-Avoiders, but this firing rate suppression was absent after repeated administration. Risk-Avoiders also displayed distinct post-morphine excitation in PL which persisted across conditioning. During the preference test, subpopulations of PL neurons in all groups were either excited or inhibited when rats entered the paired side. Interestingly, while this inhibitory signal was lost during the subsequent conflict test in both saline and Risk-Avoider groups, these inhibitory responses persisted in Risk-Takers. Our results suggest that loss of PL inhibition after opioid conditioning is associated with the formation of contextual reward memory. Furthermore, persistent PL inhibitory signaling in the drug-associated context during conflict may underlie increased risk taking following opioid exposure.
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Affiliation(s)
- Cana B. Quave
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
- McGovern Medical School at UTHealth Houston, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - Andres M. Vasquez
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
- Dept. of Neuroscience, Rice University, Houston, TX 77005, USA
| | - Guillermo Aquino-Miranda
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Esha P. Bora
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Chinenye L. Chidomere
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
- Dept. of Biomedical Engineering, University of Houston, Houston, TX 77204, USA
| | - Xu O. Zhang
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
- McGovern Medical School at UTHealth Houston, The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA
| | - Douglas S. Engelke
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Fabricio H. Do-Monte
- Dept. of Neurobiology & Anatomy, The University of Texas Health Science Center, Houston, TX 77030, USA
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Felix-Ortiz AC, Terrell JM, Gonzalez C, Msengi HD, Boggan MB, Ramos AR, Magalhães G, Burgos-Robles A. Prefrontal Regulation of Safety Learning during Ethologically Relevant Thermal Threat. eNeuro 2024; 11:ENEURO.0140-23.2024. [PMID: 38272673 PMCID: PMC10903390 DOI: 10.1523/eneuro.0140-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 01/02/2024] [Accepted: 01/22/2024] [Indexed: 01/27/2024] Open
Abstract
Learning and adaptation during sources of threat and safety are critical mechanisms for survival. The prelimbic (PL) and infralimbic (IL) subregions of the medial prefrontal cortex (mPFC) have been broadly implicated in the processing of threat and safety. However, how these regions regulate threat and safety during naturalistic conditions involving thermal challenge still remains elusive. To examine this issue, we developed a novel paradigm in which adult mice learned that a particular zone that was identified with visuospatial cues was associated with either a noxious cold temperature ("threat zone") or a pleasant warm temperature ("safety zone"). This led to the rapid development of avoidance behavior when the zone was paired with cold threat or approach behavior when the zone was paired with warm safety. During a long-term test without further thermal reinforcement, mice continued to exhibit robust avoidance or approach to the zone of interest, indicating that enduring spatial-based memories were formed to represent the thermal threat and thermal safety zones. Optogenetic experiments revealed that neural activity in PL and IL was not essential for establishing the memory for the threat zone. However, PL and IL activity bidirectionally regulated memory formation for the safety zone. While IL activity promoted safety memory during normal conditions, PL activity suppressed safety memory especially after a stress pretreatment. Therefore, a working model is proposed in which balanced activity between PL and IL is favorable for safety memory formation, whereas unbalanced activity between these brain regions is detrimental for safety memory after stress.
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Affiliation(s)
- Ada C Felix-Ortiz
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Jaelyn M Terrell
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Carolina Gonzalez
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Hope D Msengi
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Miranda B Boggan
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Angelica R Ramos
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
| | - Gabrielle Magalhães
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts 02215
| | - Anthony Burgos-Robles
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas 78249
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, Texas 78249
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Haubrich J, Nader K. Network-level changes in the brain underlie fear memory strength. eLife 2023; 12:RP88172. [PMID: 38047914 PMCID: PMC10695559 DOI: 10.7554/elife.88172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023] Open
Abstract
The strength of a fear memory significantly influences whether it drives adaptive or maladaptive behavior in the future. Yet, how mild and strong fear memories differ in underlying biology is not well understood. We hypothesized that this distinction may not be exclusively the result of changes within specific brain regions, but rather the outcome of collective changes in connectivity across multiple regions within the neural network. To test this, rats were fear conditioned in protocols of varying intensities to generate mild or strong memories. Neuronal activation driven by recall was measured using c-fos immunohistochemistry in 12 brain regions implicated in fear learning and memory. The interregional coordinated brain activity was computed and graph-based functional networks were generated to compare how mild and strong fear memories differ at the systems level. Our results show that mild fear recall is supported by a well-connected brain network with small-world properties in which the amygdala is well-positioned to be modulated by other regions. In contrast, this connectivity is disrupted in strong fear memories and the amygdala is isolated from other regions. These findings indicate that the neural systems underlying mild and strong fear memories differ, with implications for understanding and treating disorders of fear dysregulation.
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Affiliation(s)
- Josue Haubrich
- Department of Psychology, McGill UniversityMontréalCanada
- Department of Neurophysiology, Ruhr-University BochumBochumGermany
| | - Karim Nader
- Department of Psychology, McGill UniversityMontréalCanada
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Giovanniello J, Bravo-Rivera C, Rosenkranz A, Matthew Lattal K. Stress, associative learning, and decision-making. Neurobiol Learn Mem 2023; 204:107812. [PMID: 37598745 DOI: 10.1016/j.nlm.2023.107812] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/02/2023] [Accepted: 08/17/2023] [Indexed: 08/22/2023]
Abstract
Exposure to acute and chronic stress has significant effects on the basic mechanisms of associative learning and memory. Stress can both impair and enhance associative learning depending on type, intensity, and persistence of the stressor, the subject's sex, the context that the stress and behavior is experienced in, and the type of associative learning taking place. In some cases, stress can cause or exacerbate the maladaptive behavior that underlies numerous psychiatric conditions including anxiety disorders, obsessive-compulsive disorder, post-traumatic stress disorder, substance use disorder, and others. Therefore, it is critical to understand how the varied effects of stress, which may normally facilitate adaptive behavior, can also become maladaptive and even harmful. In this review, we highlight several findings of associative learning and decision-making processes that are affected by stress in both human and non-human subjects and how they are related to one another. An emerging theme from this work is that stress biases behavior towards less flexible strategies that may reflect a cautious insensitivity to changing contingencies. We consider how this inflexibility has been observed in different associative learning procedures and suggest that a goal for the field should be to clarify how factors such as sex and previous experience influence this inflexibility.
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Affiliation(s)
| | - Christian Bravo-Rivera
- Departments of Psychiatry and Anatomy & Neurobiology, University of Puerto Rico School of Medicine, San Juan, PR 00935, United States.
| | - Amiel Rosenkranz
- Center for Neurobiology of Stress Resilience and Psychiatric Disorders, Chicago Medical School, Rosalind Franklin University of Medicine and Science, United States.
| | - K Matthew Lattal
- Department of Behavioral Neuroscience, Oregon Health & Science University, United States.
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Klune CB, Goodpaster CM, Gongwer MW, Gabriel CJ, Chen R, Jones NS, Schwarz LA, DeNardo LA. Developmentally distinct architectures in top-down circuits. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.27.555010. [PMID: 37693480 PMCID: PMC10491090 DOI: 10.1101/2023.08.27.555010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
The medial prefrontal cortex (mPFC) plays a key role in learning, mood and decision making, including in how individuals respond to threats 1-6 . mPFC undergoes a uniquely protracted development, with changes in synapse density, cortical thickness, long-range connectivity, and neuronal encoding properties continuing into early adulthood 7-21 . Models suggest that before adulthood, the slow-developing mPFC cannot adequately regulate activity in faster-developing subcortical centers 22,23 . They propose that during development, the enhanced influence of subcortical systems underlies distinctive behavioural strategies of juveniles and adolescents and that increasing mPFC control over subcortical structures eventually allows adult behaviours to emerge. Yet it has remained unclear how a progressive strengthening of top-down control can lead to nonlinear changes in behaviour as individuals mature 24,25 . To address this discrepancy, here we monitored and manipulated activity in the developing brain as animals responded to threats, establishing direct causal links between frontolimbic circuit activity and the behavioural strategies of juvenile, adolescent and adult mice. Rather than a linear strengthening of mPFC synaptic connectivity progressively regulating behaviour, we uncovered multiple developmental switches in the behavioural roles of mPFC circuits targeting the basolateral amygdala (BLA) and nucleus accumbens (NAc). We show these changes are accompanied by axonal pruning coinciding with functional strengthening of synaptic connectivity in the mPFC-BLA and mPFC-NAc pathways, which mature at different rates. Our results reveal how developing mPFC circuits pass through distinct architectures that may make them optimally adapted to the demands of age-specific challenges.
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