期刊
NETWORK NEUROSCIENCE
卷 3, 期 1, 页码 107-123出版社
MIT PRESS
DOI: 10.1162/netn_a_00056
关键词
fMRI; Depression; Fronto-parietal network; Functional connectivity
资金
- National Institute of Mental Health [MH096801, MH109520]
- National Institute on Aging [AG055556]
- NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH112189, R01MH108590] Funding Source: NIH RePORTER
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.
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