Developmentally distinct architectures in top-down pathways controlling threat avoidance
- PMID: 39972221
- PMCID: PMC11978489
- DOI: 10.1038/s41593-025-01890-w
Developmentally distinct architectures in top-down pathways controlling threat avoidance
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.
© 2025. The Author(s), under exclusive licence to Springer Nature America, Inc.
Conflict of interest statement
Competing interests: The authors declare no competing interests.
Update of
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Developmentally distinct architectures in top-down circuits.bioRxiv [Preprint]. 2023 Aug 28:2023.08.27.555010. doi: 10.1101/2023.08.27.555010. bioRxiv. 2023. Update in: Nat Neurosci. 2025 Apr;28(4):823-835. doi: 10.1038/s41593-025-01890-w. PMID: 37693480 Free PMC article. Updated. Preprint.
References
-
- Lin WC & Wilbrecht L Making sense of strengths and weaknesses observed in adolescent laboratory rodents. Curr Opin Psychol 45, 101297 (2022). - PubMed
Methods-only References
-
- Mathis A et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21, 1281–1289 (2018). - PubMed
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- F30MH134633/U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- R01 MH127214/MH/NIMH NIH HHS/United States
- F31 MH138135/MH/NIMH NIH HHS/United States
- R01MH127214-01A1/U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
- T32GM008042/U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
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