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抑郁症:寻找可分离的行为和回路。

Depression: the search for separable behaviors and circuits.

机构信息

Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States.

Department of Neurobiology and Behavior, Cornell University, Ithaca, NY, United States; Cornell Neurotech, Cornell University, Ithaca, NY, United States.

出版信息

Curr Opin Neurobiol. 2018 Apr;49:192-200. doi: 10.1016/j.conb.2018.02.018. Epub 2018 Mar 9.

DOI:10.1016/j.conb.2018.02.018
PMID:29529482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6042519/
Abstract

Major depressive disorder can manifest as different combinations of symptoms, ranging from a profound and incapacitating sadness, to a loss of interest in daily life, to an inability to engage in effortful, goal-directed behavior. Recent research has focused on defining the neural circuits that mediate separable features of depression in patients and preclinical animal models, and connections between frontal cortex and brainstem neuromodulators have emerged as candidate targets. The development of methods permitting recording and manipulation of neural circuits defined by connectivity has enabled the investigation of prefrontal-neuromodulatory circuit dynamics in animal models of depression with exquisite precision, a systems-level approach that has brought new insights by integrating these fields of depression research.

摘要

重度抑郁症可能表现为不同症状的组合,从深深的、使人丧失能力的悲伤,到对日常生活失去兴趣,再到无法进行费力的、有目标的行为。最近的研究集中在定义介导患者和临床前动物模型中抑郁的可分离特征的神经回路,并出现了连接前额皮质和脑干神经调质的连接作为候选目标。允许记录和操作由连通性定义的神经回路的方法的发展,使得能够以前额叶-神经调质回路动力学在抑郁动物模型中进行极其精确的研究,这种系统水平的方法通过整合这些抑郁研究领域带来了新的见解。

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本文引用的文献

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A Shared Vision for Machine Learning in Neuroscience.神经科学机器学习的共同愿景。
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Subcallosal cingulate deep brain stimulation for treatment-resistant depression: a multisite, randomised, sham-controlled trial.扣带回下深部脑刺激治疗难治性抑郁症:一项多中心、随机、假手术对照试验。
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Organization of dopamine and serotonin system: Anatomical and functional mapping of monosynaptic inputs using rabies virus.多巴胺和血清素系统的组织:使用狂犬病病毒进行单突触传入的解剖学和功能映射。
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