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Updated: Jun 25, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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休息状态网络与抑郁症之间的因果关系:双向的双样本孟德尔随机化研究.

Dongmiao Huang1, Yuelin Wu1, Jihui Yue2

  • 1Department of Psychiatry, the Fifth Affiliated Hospital of Sun Yat-sen University, No. 52, East Meihua Road, Zhuhai City, Guangdong Province, 519000, China.

BMC psychiatry
|May 29, 2024
PubMed
概括

大脑边缘网络的基因决定的结构连接因果关系影响抑郁症. 这项研究使用双向门德尔随机化来探索这种关系,发现对抑郁症有显著影响,但不是相反.

关键词:
双向两个样本的门德尔随机化.抑郁症 抑郁症 抑郁症 抑郁症神经成像是一种神经成像.休息状态的大脑网络

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Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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