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Organizational principles of amygdalar input-output neuronal circuits
The amygdala, one of the most studied brain structures, integrates brain-wide heterogeneous inputs and governs multidimensional outputs to control diverse behaviors central to survival, yet how amygdalar input-output neuronal circuits are organized remains unclear. Using a simplified cell-type- and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873025/ https://www.ncbi.nlm.nih.gov/pubmed/34400771 http://dx.doi.org/10.1038/s41380-021-01262-3 |
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author | Huang, Limeng Chen, Yiwen Jin, Sen Lin, Li Duan, Shumin Si, Ke Gong, Wei Julius Zhu, J. |
author_facet | Huang, Limeng Chen, Yiwen Jin, Sen Lin, Li Duan, Shumin Si, Ke Gong, Wei Julius Zhu, J. |
author_sort | Huang, Limeng |
collection | PubMed |
description | The amygdala, one of the most studied brain structures, integrates brain-wide heterogeneous inputs and governs multidimensional outputs to control diverse behaviors central to survival, yet how amygdalar input-output neuronal circuits are organized remains unclear. Using a simplified cell-type- and projection-specific retrograde transsynaptic tracing technique, we scrutinized brain-wide afferent inputs of four major output neuronal groups in the amygdalar basolateral complex (BLA) that project to the bed nucleus of the stria terminals (BNST), ventral hippocampus (vHPC), medial prefrontal cortex (mPFC) and nucleus accumbens (NAc), respectively. Brain-wide input-output quantitative analysis unveils that BLA efferent neurons receive a diverse array of afferents with varied input weights and predominant contextual representation. Notably, the afferents received by BNST-, vHPC-, mPFC- and NAc-projecting BLA neurons exhibit virtually identical origins and input weights. These results indicate that the organization of amygdalar BLA input-output neuronal circuits follows the input-dependent and output-independent principles, ideal for integrating brain-wide diverse afferent stimuli to control parallel efferent actions. The data provide the objective basis for improving the virtual reality exposure therapy for anxiety disorders and validate the simplified cell-type- and projection-specific retrograde transsynaptic tracing method. |
format | Online Article Text |
id | pubmed-8873025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88730252022-03-17 Organizational principles of amygdalar input-output neuronal circuits Huang, Limeng Chen, Yiwen Jin, Sen Lin, Li Duan, Shumin Si, Ke Gong, Wei Julius Zhu, J. Mol Psychiatry Article The amygdala, one of the most studied brain structures, integrates brain-wide heterogeneous inputs and governs multidimensional outputs to control diverse behaviors central to survival, yet how amygdalar input-output neuronal circuits are organized remains unclear. Using a simplified cell-type- and projection-specific retrograde transsynaptic tracing technique, we scrutinized brain-wide afferent inputs of four major output neuronal groups in the amygdalar basolateral complex (BLA) that project to the bed nucleus of the stria terminals (BNST), ventral hippocampus (vHPC), medial prefrontal cortex (mPFC) and nucleus accumbens (NAc), respectively. Brain-wide input-output quantitative analysis unveils that BLA efferent neurons receive a diverse array of afferents with varied input weights and predominant contextual representation. Notably, the afferents received by BNST-, vHPC-, mPFC- and NAc-projecting BLA neurons exhibit virtually identical origins and input weights. These results indicate that the organization of amygdalar BLA input-output neuronal circuits follows the input-dependent and output-independent principles, ideal for integrating brain-wide diverse afferent stimuli to control parallel efferent actions. The data provide the objective basis for improving the virtual reality exposure therapy for anxiety disorders and validate the simplified cell-type- and projection-specific retrograde transsynaptic tracing method. Nature Publishing Group UK 2021-08-16 2021 /pmc/articles/PMC8873025/ /pubmed/34400771 http://dx.doi.org/10.1038/s41380-021-01262-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Huang, Limeng Chen, Yiwen Jin, Sen Lin, Li Duan, Shumin Si, Ke Gong, Wei Julius Zhu, J. Organizational principles of amygdalar input-output neuronal circuits |
title | Organizational principles of amygdalar input-output neuronal circuits |
title_full | Organizational principles of amygdalar input-output neuronal circuits |
title_fullStr | Organizational principles of amygdalar input-output neuronal circuits |
title_full_unstemmed | Organizational principles of amygdalar input-output neuronal circuits |
title_short | Organizational principles of amygdalar input-output neuronal circuits |
title_sort | organizational principles of amygdalar input-output neuronal circuits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873025/ https://www.ncbi.nlm.nih.gov/pubmed/34400771 http://dx.doi.org/10.1038/s41380-021-01262-3 |
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