Using model systems to understand errant plasticity mechanisms in psychiatric disorders

Bruno B. Averbeck, Matthew V. Chafee

Research output: Contribution to journalReview articlepeer-review

12 Scopus citations

Abstract

In vivo model systems are a critical tool for gaining insight into the pathology underlying psychiatric disorders. Although modern functional imaging tools allow study of brain correlates of behavior in clinical groups and genome-wide association studies are beginning to uncover the complex genetic architecture of psychiatric disorders, there is less understanding of pathology at intervening levels of organization. Several psychiatric disorders derive from pathological neural plasticity, and studying the mechanisms that underlie these processes, including reinforcement learning and spike-timing-dependent plasticity, requires the use of animals. It will be particularly important to understand how individual differences in plasticity mechanisms at a cellular level confer resilience on some but lead to disease in others.

Original languageEnglish (US)
Pages (from-to)1418-1425
Number of pages8
JournalNature neuroscience
Volume19
Issue number11
DOIs
StatePublished - Oct 26 2016

Bibliographical note

Funding Information:
Acknowledgments This work was funded in part by the intramural research program of the National Institute of Mental Health and NIH grants ZIA MH002928-01 (B.B.A.) and 1R01MH107491 (M.V.C.).

Publisher Copyright:
© Nature America, Inc., part of Springer Nature. All rights reserved.

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