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额顶叶认知控制网络的全球连通性与普通人群的抑郁症状有关。

Global connectivity of the fronto-parietal cognitive control network is related to depression symptoms in the general population.

作者信息

Schultz Douglas H, Ito Takuya, Solomyak Levi I, Chen Richard H, Mill Ravi D, Anticevic Alan, Cole Michael W

机构信息

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA.

Department of Psychiatry, Yale University, New Haven, CT, USA.

出版信息

Netw Neurosci. 2018 Oct 1;3(1):107-123. doi: 10.1162/netn_a_00056. eCollection 2019.

DOI:10.1162/netn_a_00056
PMID:30793076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6326740/
Abstract

We all vary in our mental health, even among people not meeting diagnostic criteria for mental illness. Understanding this individual variability may reveal factors driving the risk for mental illness, as well as factors driving subclinical problems that still adversely affect quality of life. To better understand the large-scale brain network mechanisms underlying this variability, we examined the relationship between mental health symptoms and resting-state functional connectivity patterns in cognitive control systems. One such system is the fronto-parietal cognitive control network (FPN). Changes in FPN connectivity may impact mental health by disrupting the ability to regulate symptoms in a goal-directed manner. Here we test the hypothesis that FPN dysconnectivity relates to mental health symptoms even among individuals who do not meet formal diagnostic criteria but may exhibit meaningful symptom variation. We found that depression symptoms severity negatively correlated with between-network global connectivity (BGC) of the FPN. This suggests that decreased connectivity between the FPN and the rest of the brain is related to increased depression symptoms in the general population. These findings complement previous clinical studies to support the hypothesis that global FPN connectivity contributes to the regulation of mental health symptoms across both health and disease.

摘要

我们每个人的心理健康状况都有所不同,即使在那些未达到精神疾病诊断标准的人群中也是如此。了解这种个体差异可能会揭示导致精神疾病风险的因素,以及导致仍会对生活质量产生不利影响的亚临床问题的因素。为了更好地理解这种差异背后的大规模脑网络机制,我们研究了心理健康症状与认知控制系统静息态功能连接模式之间的关系。其中一个这样的系统是额顶叶认知控制网络(FPN)。FPN连接性的变化可能会通过破坏以目标导向方式调节症状的能力来影响心理健康。在这里,我们检验这样一个假设:即使在未达到正式诊断标准但可能表现出有意义症状变化的个体中,FPN连接异常也与心理健康症状有关。我们发现,抑郁症状的严重程度与FPN的网络间全局连接性(BGC)呈负相关。这表明FPN与大脑其他部分之间连接性的降低与普通人群中抑郁症状的增加有关。这些发现补充了先前的临床研究,以支持这样的假设,即FPN的全局连接性有助于在健康和疾病状态下对心理健康症状进行调节。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/442a4136f948/netn-03-107-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/3fc28831b32b/netn-03-107-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/6b3b2bdb93ee/netn-03-107-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/0804e2975350/netn-03-107-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/442a4136f948/netn-03-107-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/3fc28831b32b/netn-03-107-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/6b3b2bdb93ee/netn-03-107-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/0804e2975350/netn-03-107-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b559/6326740/442a4136f948/netn-03-107-g004.jpg

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