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Cognitive performance and brain structural connectome alterations in major depressive disorder

连接体 认知 心理学 睡眠剥夺对认知功能的影响 重性抑郁障碍 神经科学 认知心理学 临床心理学 医学 功能连接
作者
Marius Gruber,Marco Mauritz,Susanne Meinert,Dominik Grotegerd,Siemon C. de Lange,Pascal Grumbach,Janik Goltermann,Nils R. Winter,Lena Waltemate,Hannah Lemke,Katharina Thiel,Alexandra Winter,Fabian Breuer,Tiana Borgers,Verena Enneking,Melissa Klug,Katharina Brosch,Tina Meller,Julia‐Katharina Pfarr,Kai G. Ringwald,Frederike Stein,Nils Opel,Ronny Redlich,Tim Hahn,Elisabeth J. Leehr,Jochen Bauer,Igor Nenadić,Tilo Kircher,Martijn P. van den Heuvel,Udo Dannlowski,Jonathan Repple
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:53 (14): 6611-6622
标识
DOI:10.1017/s0033291722004007
摘要

Abstract Background Cognitive dysfunction and brain structural connectivity alterations have been observed in major depressive disorder (MDD). However, little is known about their interrelation. The present study follows a network approach to evaluate alterations in cognition-related brain structural networks. Methods Cognitive performance of n = 805 healthy and n = 679 acutely depressed or remitted individuals was assessed using 14 cognitive tests aggregated into cognitive factors. The structural connectome was reconstructed from structural and diffusion-weighted magnetic resonance imaging. Associations between global connectivity strength and cognitive factors were established using linear regressions. Network-based statistics were applied to identify subnetworks of connections underlying these global-level associations. In exploratory analyses, effects of depression were assessed by evaluating remission status-related group differences in subnetwork-specific connectivity. Partial correlations were employed to directly test the complete triad of cognitive factors, depressive symptom severity, and subnetwork-specific connectivity strength. Results All cognitive factors were associated with global connectivity strength. For each cognitive factor, network-based statistics identified a subnetwork of connections, revealing, for example, a subnetwork positively associated with processing speed. Within that subnetwork, acutely depressed patients showed significantly reduced connectivity strength compared to healthy controls. Moreover, connectivity strength in that subnetwork was associated to current depressive symptom severity independent of the previous disease course. Conclusions Our study is the first to identify cognition-related structural brain networks in MDD patients, thereby revealing associations between cognitive deficits, depressive symptoms, and reduced structural connectivity. This supports the hypothesis that structural connectome alterations may mediate the association of cognitive deficits and depression severity.

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