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Klune CB, Goodpaster CM, Gongwer MW, Gabriel CJ, An J, Chen R, Jones NS, Williams OH, Shari M, Ramirez M, Hacking A, Andrade T, Schwarz LA, DeNardo LA. Developmentally distinct architectures in top-down pathways controlling threat avoidance. Nat Neurosci 2025; 28:823-835. [PMID: 39972221 PMCID: PMC11978489 DOI: 10.1038/s41593-025-01890-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/07/2025] [Indexed: 02/21/2025]
Abstract
The medial prefrontal cortex (mPFC) is critical for learning and decision-making processes, including responding to threats. The protracted maturation of the mPFC extends into early adulthood. Although prominent models suggest that increasing top-down control by the mPFC eventually allows adult behavioral repertoires to emerge, it is unclear how progressive strengthening can produce nonlinear behavioral changes observed across development. We use fiber photometry and optogenetics to establish causal links between frontolimbic pathway activity and threat avoidance strategies in juvenile, adolescent and adult mice. We uncover multiple developmental switches in the roles of mPFC pathways targeting the nucleus accumbens and basolateral amygdala. These changes are accompanied by axonal pruning, strengthening of synaptic connectivity and altered functional connectivity with downstream cell types, which occur in the mPFC-basolateral amygdala and mPFC-nucleus accumbens pathways at different rates. Our results reveal how developing mPFC pathways pass through distinct architectures that may make them optimally adapted to age-specific challenges.
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Affiliation(s)
- Cassandra B Klune
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Caitlin M Goodpaster
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Michael W Gongwer
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
- Medical Scientist Training Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Christopher J Gabriel
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jennifer An
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Neuroscience Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA
| | - Rita Chen
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Nico S Jones
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Owen H Williams
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Meelan Shari
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Makayla Ramirez
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Aliza Hacking
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Timothy Andrade
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lindsay A Schwarz
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Laura A DeNardo
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
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2
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Rodriguez-Echemendia PL, Carelli RM. Sex differences in oscillatory signaling dynamics in the prelimbic cortex and nucleus accumbens core during negative affect. Behav Brain Res 2025; 480:115404. [PMID: 39706530 PMCID: PMC11729474 DOI: 10.1016/j.bbr.2024.115404] [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] [Received: 07/29/2024] [Revised: 12/05/2024] [Accepted: 12/16/2024] [Indexed: 12/23/2024]
Abstract
Affective processing is important for guiding behavior and its dysfunction can lead to several psychiatric illnesses, including depression and substance use disorders. Conditioned taste aversion (CTA) is used to study learned shifts in affect, and taste reactivity (TR) can effectively track the hedonic properties of appetitive and aversive tastants before and after CTA. While the infralimbic cortex (IL) and its projections to the nucleus accumbens (NAc) shell play a key role in learned negative affect, this role is unique to males. Here, we sought to determine if the prelimbic cortex (PrL) to nucleus accumbens (NAc) core circuit, another prefrontal cortex-accumbens system, tracks innate versus learned negative affect using electrophysiological (local field potential, LFP) methods in male and female rats. As expected, CTA elicited a hedonic shift from an appetitive to an aversive TR profile, regardless of sex. However, time-frequency analyses revealed differential activity in the PrL and NAc core during innate and learned negative affect across sex. Specifically, we found that beta oscillations in the NAc core encode learned negative affect in males, while neither brain region seems to be selectively attuned to innate or learned aversion in females. Importantly, LFP functional connectivity (coherence) indicated that the PrL-NAc core circuit does not track any aspect of learned negative affect in either sex but may be involved in innate aversion in males only. Collectively, these data provide a sex-specific understanding of real-time oscillatory signaling dynamics in the PrL and NAc core during innate versus learned negative affect.
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Affiliation(s)
- Pedro L Rodriguez-Echemendia
- Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Regina M Carelli
- Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States.
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3
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Lozano-Ortiz K, Felix-Ortiz AC, Terrell JM, Gonzalez C, Whitehorn KR, Kanke AE, Villalon SA, Ramos AR, Miller AN, Rodriguez-Romaguera J, Burgos-Robles A. The prelimbic prefrontal cortex mediates the development of lasting social avoidance as a consequence of social threat conditioning. Neuropsychopharmacology 2025:10.1038/s41386-025-02073-8. [PMID: 40016364 DOI: 10.1038/s41386-025-02073-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 01/21/2025] [Accepted: 02/11/2025] [Indexed: 03/01/2025]
Abstract
Social avoidance is highly detrimental for natural behavior. Despite much research on this topic, the mechanisms underlying the development of social avoidance as a consequence of social-related traumatic experiences remain highly elusive. To investigate this issue, we adapted a mouse model of social threat conditioning in which mice received shock punishment during exploration of an unfamiliar conspecific. This resulted in prominent and lasting reductions in social behavior, effects that were not observed in mice that received shock punishment in the absence of a social stimulus. Furthermore, the effects of social threat conditioning were independent of contextual settings, sex variables, and particular identity of the unfamiliar conspecifics that predicted shock punishment. Shedding new light into the neurobiological bases for this phenomenon, we found that optogenetic silencing of the prelimbic (PL), but not infralimbic (IL), prefrontal cortex during social threat conditioning produced profound forgetting and restoration of social behavior during subsequent sociability tests. Significant forgetting and recovery of social behavior was also observed with prelimbic inhibition of NMDARs. Collectively, these findings are consistent with the notion that social-related trauma is a prominent risk factor for social avoidance, and that traumatic experiences that involve social elements engage learning-related mechanisms in corticolimbic networks to promote long-term representations of social threat.
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Affiliation(s)
- Kelly Lozano-Ortiz
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Ada C Felix-Ortiz
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
- Department of Cellular and Integrative Physiology, The University of Texas Health Science Center, San Antonio, TX, USA
| | - Jaelyn M Terrell
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Carolina Gonzalez
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Kamryn R Whitehorn
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Addison E Kanke
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Stephanie A Villalon
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Angelica R Ramos
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Ashley N Miller
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Jose Rodriguez-Romaguera
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA.
- Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA.
- Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA.
- Carolina Institute of Developmental Disabilities, University of North Carolina, Chapel Hill, NC, USA.
| | - Anthony Burgos-Robles
- Department of Neuroscience, Developmental, and Regenerative Biology, The University of Texas at San Antonio, San Antonio, TX, USA.
- Brain Health Consortium, The University of Texas at San Antonio, San Antonio, TX, USA.
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Quave CB, Vasquez AM, Aquino-Miranda G, Marín M, 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 an approach-avoidance conflict task using a modified conditioned place preference procedure to study neural signals of risky opioid seeking in the prefrontal cortex, a region implicated in executive decision-making. Following morphine conditioned place preference, rats underwent a conflict test in which fear-inducing cat odor was introduced in the previously drug-paired side of the apparatus. While the saline-exposed control group avoided cat odor, the morphine group included two subsets of rats that either maintained a preference for the paired side despite the presence of cat odor (Risk-Takers) or exhibited increased avoidance (Risk-Avoiders), as revealed by K-means clustering. Single-unit recordings from the prelimbic cortex (PL) demonstrated decreased neuronal activity upon acute morphine exposure in both Risk-Takers and Risk-Avoiders, but this firing rate suppression was absent after repeated morphine 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, the inhibition in PL activity was lost during the subsequent conflict test in both saline and Risk-Avoider groups, but persisted in Risk-Takers. Additionally, Risk-Takers showed an increase in the proportion of PL neurons displaying location-specific firing in the drug-paired side from the preference to the conflict test. Together, our results suggest that persistent PL inhibitory signaling in the drug-associated context during motivational conflict may underlie increased risk-taking behavior 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
| | - Milagros Marín
- 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
- 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
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5
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Aquino-Miranda G, Jalloul D, Zhang XO, Li S, Kirouac GJ, Beierlein M, Do Monte FH. Functional properties of corticothalamic circuits targeting paraventricular thalamic neurons. Neuron 2024; 112:4060-4080.e7. [PMID: 39504962 DOI: 10.1016/j.neuron.2024.10.010] [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: 03/28/2024] [Revised: 09/02/2024] [Accepted: 10/09/2024] [Indexed: 11/08/2024]
Abstract
Corticothalamic projections to sensorimotor thalamic nuclei show modest firing rates and serve to modulate the activity of thalamic relay neurons. By contrast, here we find that high-order corticothalamic projections from the prelimbic (PL) cortex to the anterior paraventricular thalamic nucleus (aPVT) maintain high-frequency activity and evoke strong synaptic excitation of aPVT neurons in rats. In a significant fraction of aPVT cells, such high-frequency excitation of PL-aPVT projections leads to a rapid decay of action potential amplitudes, followed by a depolarization block (DB) that strongly limits aPVT maximum firing rates, thereby regulating both defensive and appetitive behaviors in a frequency-dependent manner. Strong inhibitory inputs from the anteroventral portion of the thalamic reticular nucleus (avTRN) inhibit the firing rate of aPVT neurons during periods of high-spike fidelity but restore it during prominent DB, suggesting that avTRN activity can modulate the effects of PL inputs on aPVT firing rates to ultimately control motivated behaviors.
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Affiliation(s)
- Guillermo Aquino-Miranda
- Department of Neurobiology and Anatomy, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA
| | - Dounya Jalloul
- Department of Neurobiology and Anatomy, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA; MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, 6767 Bertner Ave, Houston, TX 77030, USA
| | - Xu O Zhang
- Department of Neurobiology and Anatomy, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA; MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, 6767 Bertner Ave, Houston, TX 77030, USA
| | - Sa Li
- Rady Faculty of Health Sciences, University of Manitoba, 780 Bannatyne Avenue, Winnipeg, MB R3E 0W2, Canada
| | - Gilbert J Kirouac
- Rady Faculty of Health Sciences, University of Manitoba, 780 Bannatyne Avenue, Winnipeg, MB R3E 0W2, Canada
| | - Michael Beierlein
- Department of Neurobiology and Anatomy, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA; MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, 6767 Bertner Ave, Houston, TX 77030, USA
| | - Fabricio H Do Monte
- Department of Neurobiology and Anatomy, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX 77030, USA; MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, 6767 Bertner Ave, Houston, TX 77030, USA.
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Gabriel CJ, Gupta T, Sanchez-Fuentes A, Zeidler Z, Wilke SA, DeNardo LA. Transformations in prefrontal ensemble activity underlying rapid threat avoidance learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.28.610165. [PMID: 39257764 PMCID: PMC11383712 DOI: 10.1101/2024.08.28.610165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2024]
Abstract
The capacity to learn cues that predict aversive outcomes, and understand how to avoid those outcomes, is critical for adaptive behavior. Naturalistic avoidance often means accessing a safe location, but whether a location is safe depends on the nature of the impending threat. These relationships must be rapidly learned if animals are to survive. The prelimbic subregion (PL) of the medial prefrontal cortex (mPFC) integrates learned associations to influence these threat avoidance strategies. Prior work has focused on the role of PL activity in avoidance behaviors that are fully established, leaving the prefrontal mechanisms that drive rapid avoidance learning poorly understood. To determine when and how these learning-related changes emerge, we recorded PL neural activity using miniscope calcium imaging as mice rapidly learned to avoid a threatening cue by accessing a safe location. Over the course of learning, we observed enhanced modulation of PL activity representing intersections of a threatening cue with safe or risky locations and movements between them. We observed rapid changes in PL population dynamics that preceded changes observable in the encoding of individual neurons. Successful avoidance could be predicted from cue-related population dynamics during early learning. Population dynamics during specific epochs of the conditioned tone period correlated with the modeled learning rates of individual animals. In contrast, changes in single-neuron encoding occurred later, once an avoidance strategy had stabilized. Together, our findings reveal the sequence of PL changes that characterize rapid threat avoidance learning.
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Ma J, O'Malley JJ, Kreiker M, Leng Y, Khan I, Kindel M, Penzo MA. Convergent direct and indirect cortical streams shape avoidance decisions in mice via the midline thalamus. Nat Commun 2024; 15:6598. [PMID: 39097600 PMCID: PMC11297946 DOI: 10.1038/s41467-024-50941-6] [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] [Received: 03/04/2024] [Accepted: 07/24/2024] [Indexed: 08/05/2024] Open
Abstract
Current concepts of corticothalamic organization in the mammalian brain are mainly based on sensory systems, with less focus on circuits for higher-order cognitive functions. In sensory systems, first-order thalamic relays are driven by subcortical inputs and modulated by cortical feedback, while higher-order relays receive strong excitatory cortical inputs. The applicability of these principles beyond sensory systems is uncertain. We investigated mouse prefronto-thalamic projections to the midline thalamus, revealing distinct top-down control. Unlike sensory systems, this pathway relies on indirect modulation via the thalamic reticular nucleus (TRN). Specifically, the prelimbic area, which influences emotional and motivated behaviors, impacts instrumental avoidance responses through direct and indirect projections to the paraventricular thalamus. Both pathways promote defensive states, but the indirect pathway via the TRN is essential for organizing avoidance decisions through disinhibition. Our findings highlight intra-thalamic circuit dynamics that integrate cortical cognitive signals and their role in shaping complex behaviors.
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Affiliation(s)
- Jun Ma
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
- Laboratory of Anesthesia and Analgesia Application Technology, Xuzhou Medical University, 221004, Xuzhou, China
| | - John J O'Malley
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
| | - Malaz Kreiker
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
| | - Yan Leng
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
| | - Isbah Khan
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
| | - Morgan Kindel
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA
| | - Mario A Penzo
- Section on the Neural Circuits of Emotion and Motivation, National Institute of Mental Health, Bethesda, MD, USA.
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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; 96:137-146. [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] [MESH Headings] [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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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; 112:2197-2217.e7. [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] [MESH Headings] [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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10
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Nishio M, Kondo M, Yoshida E, Matsuzaki M. Medial prefrontal cortex suppresses reward-seeking behavior with risk of punishment by reducing sensitivity to reward. Front Neurosci 2024; 18:1412509. [PMID: 38903603 PMCID: PMC11188571 DOI: 10.3389/fnins.2024.1412509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 04/30/2024] [Indexed: 06/22/2024] Open
Abstract
Reward-seeking behavior is frequently associated with risk of punishment. There are two types of punishment: positive punishment, which is defined as addition of an aversive stimulus, and negative punishment, involves the omission of a rewarding outcome. Although the medial prefrontal cortex (mPFC) is important in avoiding punishment, whether it is important for avoiding both positive and negative punishment and how it contributes to such avoidance are not clear. In this study, we trained male mice to perform decision-making tasks under the risks of positive (air-puff stimulus) and negative (reward omission) punishment, and modeled their behavior with reinforcement learning. Following the training, we pharmacologically inhibited the mPFC. We found that pharmacological inactivation of mPFC enhanced the reward-seeking choice under the risk of positive, but not negative, punishment. In reinforcement learning models, this behavioral change was well-explained as an increase in sensitivity to reward, rather than a decrease in the strength of aversion to punishment. Our results suggest that mPFC suppresses reward-seeking behavior by reducing sensitivity to reward under the risk of positive punishment.
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Affiliation(s)
- Monami Nishio
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masashi Kondo
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Eriko Yoshida
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Masanori Matsuzaki
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, Japan
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, Japan
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11
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Hartmann C, Mahajan A, Borges V, Razenberg L, Thönnes Y, Karnani MM. The Switchmaze: an open-design device for measuring motivation and drive switching in mice. PEER COMMUNITY JOURNAL 2024; 4:pcjournal.416. [PMID: 38827787 PMCID: PMC7616052 DOI: 10.1101/2024.01.31.578188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Animals need to switch between motivated behaviours, like drinking, feeding or social interaction, to meet environmental availability, internal needs and more complex ethological needs such as hiding future actions from competitors. Inflexible, repetitive behaviours are a hallmark of many neuropsychiatric disorders. However, how the brain orchestrates switching between the neural mechanisms controlling motivated behaviours, or drives, is unknown. This is partly due to a lack of appropriate measurement systems. We designed an automated extended home-cage, the Switchmaze, using open-source hardware and software. In this study, we use it to establish a behavioural assay of motivational switching in mice. Individual animals access the Switchmaze from the home-cage and choose between entering one of two chambers containing different goal objects or returning to the home-cage. Motivational switching is measured as a ratio of switching between chambers and continuous exploitation of one chamber. Behavioural transition analysis is used to further dissect altered motivational switching. As proof-of-concept, we show environmental manipulation, and targeted brain manipulation experiments which altered motivational switching without effect on traditional behavioural parameters. Chemogenetic inhibition of the prefrontal-hypothalamic axis increased the rate of motivation switching, highlighting the involvement of this pathway in drive switching. This work demonstrates the utility of open-design in understanding animal behaviour and its neural correlates.
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Affiliation(s)
- Clara Hartmann
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Ambika Mahajan
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Vinicius Borges
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Lotte Razenberg
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Yves Thönnes
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
| | - Mahesh M Karnani
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands
- Institute for Neuroscience and Cardiovascular Research, Centre for Discovery Brain Sciences, University of Edinburgh, 1 George Square, Edinburgh EH8 9JZ, UK
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12
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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] [Grants] [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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13
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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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14
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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: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [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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15
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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: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [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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