期刊
TRENDS IN NEUROSCIENCES
卷 43, 期 11, 页码 902-915出版社
CELL PRESS
DOI: 10.1016/j.tins.2020.08.004
关键词
-
资金
- NIMH [R01 MH108623, RO1 MH 111754, RO1 MH117961]
- One Mind Rising Star Award
- Human Frontier Science Program
- Pew Charitable Trusts
- Esther A. and Joseph Klingenstein Fund
- McKnight Memory and Cognitive Disorders Award
- Canadian Institutes of Health Research (GIN R) Postdoctoral Fellowship [MFE-171209]
- Ray and Dagrnar Dolby Family Fund
Mood and anxiety disorders are complex heterogeneous syndromes that manifest in dysfunctions across multiple brain regions, cell types, and circuits. Biomarkers using brain-wide activity patterns in humans have proven useful in distinguishing between disorder subtypes and identifying effective treatments. In order to improve biomarker identification, it is crucial to understand the basic circuitry underpinning brain-wide activity patterns. Leveraging a large repertoire of techniques, animal studies have examined roles of specific cell types and circuits in driving maladaptive behavior. Recent advances in multiregion recording techniques, data-driven analysis approaches, and machine-learning-based behavioral analysis tools can further push the boundary of animal studies and bridge the gap with human studies, to assess how brain-wide activity patterns encode and drive emotional behavior. Together, these efforts will allow identifying more precise biomarkers to enhance diagnosis and treatment.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据