Shared brain and genetic architectures between mental health and physical activity.

Shared brain and genetic architectures between mental health and physical activity.
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DOI:
10.1038/s41398-022-02172-w
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发表时间:
2022-10-03
影响因子:
6.8
通讯作者:
Bijsterbosch, Janine D.
Bijsterbosch, Janine D.
中科院分区:
医学1区
文献类型:
--
作者:
Zhang, Wei;Paul, Sarah E.;Winkler, Anderson;Bogdan, Ryan;Bijsterbosch, Janine D.

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身体活动与各种形式的精神病理学相关,并有效地治疗各种形式的精神病理学。然而,身体活动和精神病理学的生物学相关性是否是共享的仍不清楚。在这里,我们研究了身体活动和心理健康的神经和遗传结构共享的程度。使用英国生物银行的数据(N = 6389),我们应用典型相关分析来估计三个主要神经认知网络的子网络的振幅和连接强度之间的关联(默认模式,DMN;显著性,SN;中央执行网络,CEN)与身体活动的加速计衍生措施和自我报告的心理健康措施(主要是抑郁症、焦虑症、神经质、主观幸福感和冒险行为)。我们通过将连锁不平衡评分回归、基因组结构方程模型和潜在因果变量分析应用于全基因组关联汇总统计量(GWAS N = 91,105 - 500,199),估计了心理健康和身体活动指标之间的遗传相关性以及推定的因果关系。体力活动和心理健康与DMN、SN和CEN的连接强度和振幅相关(r ≥ 0.12,p < 0.048)。这些神经相关性在心理健康和身体活动模型中表现出高度相似的负荷模式,即使考虑到它们的共享方差。这表明心理健康和身体活动之间有一个很大程度上共享的大脑网络架构。心理健康和身体活动(包括睡眠)也与遗传相关(|RG| = 0.085-0.121),但我们没有发现它们之间存在因果关系的证据。总的来说,我们的研究结果提供了经验证据,表明心理健康和身体活动共享大脑和遗传结构,并为未来研究身体活动对心理健康有益影响的大脑机制提供了潜在的候选子网络。
Physical activity is correlated with, and effectively treats various forms of psychopathology. However, whether biological correlates of physical activity and psychopathology are shared remains unclear. Here, we examined the extent to which the neural and genetic architecture of physical activity and mental health are shared. Using data from the UK Biobank (N = 6389), we applied canonical correlation analysis to estimate associations between the amplitude and connectivity strength of subnetworks of three major neurocognitive networks (default mode, DMN; salience, SN; central executive networks, CEN) with accelerometer-derived measures of physical activity and self-reported mental health measures (primarily of depression, anxiety disorders, neuroticism, subjective well-being, and risk-taking behaviors). We estimated the genetic correlation between mental health and physical activity measures, as well as putative causal relationships by applying linkage disequilibrium score regression, genomic structural equational modeling, and latent causal variable analysis to genome-wide association summary statistics (GWAS N = 91,105–500,199). Physical activity and mental health were associated with connectivity strength and amplitude of the DMN, SN, and CEN (r’s ≥ 0.12, p’s < 0.048). These neural correlates exhibited highly similar loading patterns across mental health and physical activity models even when accounting for their shared variance. This suggests a largely shared brain network architecture between mental health and physical activity. Mental health and physical activity (including sleep) were also genetically correlated (|rg| = 0.085–0.121), but we found no evidence for causal relationships between them. Collectively, our findings provide empirical evidence that mental health and physical activity have shared brain and genetic architectures and suggest potential candidate subnetworks for future studies on brain mechanisms underlying beneficial effects of physical activity on mental health.
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DOI: 10.1016/j.neuroimage.2011.08.026
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