Precision psychiatry: a neural circuit taxonomy for depression and anxiety

被引:390
作者
Williams, Leanne M. [1 ]
机构
[1] Stanford Univ, Dept Psychiat & Behav Sci, 401 Quarry Rd, Stanford, CA 94134 USA
来源
LANCET PSYCHIATRY | 2016年 / 3卷 / 05期
关键词
DEFAULT-MODE NETWORK; ANTERIOR CINGULATE CORTEX; GENERALIZED SOCIAL PHOBIA; COGNITIVE CONTROL NETWORK; WORKING-MEMORY TASK; MAJOR DEPRESSION; FUNCTIONAL CONNECTIVITY; AMYGDALA RESPONSES; EMOTIONAL FACES; FEARFUL FACES;
D O I
10.1016/S2215-0366(15)00579-9
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Although there have been tremendous advances in the understanding of human dysfunctions in the brain circuitry for self-reflection, emotion, and cognitive control, a brain-based taxonomy for mental disease is still lacking. As a result, these advances have not been translated into actionable clinical tools, and the language of brain circuits has not been incorporated into training programmes. To address this gap, I present this synthesis of published work, with a focus on functional imaging of circuit dysfunctions across the spectrum of mood and anxiety disorders. This synthesis provides the foundation for a taxonomy of putative types of dysfunction, which cuts across traditional diagnostic boundaries for depression and anxiety and includes instead distinct types of neural circuit dysfunction that together reflect the heterogeneity of depression and anxiety. This taxonomy is suited to specifying symptoms in terms of underlying neural dysfunction at the individual level and is intended as the foundation for building mechanistic research and ultimately guiding clinical practice.
引用
收藏
页码:472 / 480
页数:9
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