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Altered topology of individual brain structural covariance networks in major depressive disorder

Published online by Cambridge University Press:  10 July 2023

Liangliang Ping Open the ORCID record for Liangliang Ping [Opens in a new window] ,
Shan Sun ,
Cong Zhou ,
Jianyu Que ,
Zhiyi You ,
Xiufeng Xu ,
Yuqi Cheng Open the ORCID record for Yuqi Cheng [Opens in a new window]  and
the DIRECT Consortium
Liangliang Ping
Affiliation:
Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
Shan Sun
Affiliation:
Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
Cong Zhou
Affiliation:
School of Mental Health, Jining Medical University, Jining, China
Jianyu Que
Affiliation:
Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
Zhiyi You
Affiliation:
Department of Psychiatry, Xiamen Xianyue Hospital, Xiamen, China
Xiufeng Xu
Affiliation:
Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
Yuqi Cheng*
Affiliation:
Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
*
Corresponding author: Yuqi Cheng; Email: yuqicheng@126.com
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Abstract

Background

The neurobiological pathogenesis of major depression disorder (MDD) remains largely controversial. Previous literatures with limited sample size utilizing group-level structural covariance networks (SCN) commonly generated mixed findings regarding the topology of brain networks.

Methods

We analyzed T1 images from a high-powered multisite sample including 1173 patients with MDD and 1019 healthy controls (HCs). We used regional gray matter volume to construct individual SCN by utilizing a novel approach based on the interregional effect size difference. We further investigated MDD-related structural connectivity alterations using topological metrics.

Results

Compared to HCs, the MDD patients showed a shift toward randomization characterized by increased integration. Further subgroup analysis of patients in different stages revealed this randomization pattern was also observed in patients with recurrent MDD, while the first-episode drug naïve patients exhibited decreased segregation. Altered nodal properties in several brain regions which have a key role in both emotion regulation and executive control were also found in MDD patients compared with HCs. The abnormalities in inferior temporal gyrus were not influenced by any specific site. Moreover, antidepressants increased nodal efficiency in the anterior ventromedial prefrontal cortex.

Conclusions

The MDD patients at different stages exhibit distinct patterns of randomization in their brain networks, with increased integration during illness progression. These findings provide valuable insights into the disruption in structural brain networks that occurs in patients with MDD and might be useful to guide future therapeutic interventions.

Keywords

individual structural covariance networkmajor depressive disordertopological metrics
Type
Original Article
Information
Psychological Medicine , Volume 53 , Issue 14 , October 2023 , pp. 6921 - 6932
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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Footnotes

The original version of this article was published with an error in the Financial Support section. A notice detailing this has been published and the errors rectified in the online PDF and HTML version.

*

Contributed equally to this work.

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