Resolving heterogeneity of early-onset major depressive disorder through individual differential structural covariance network analysis

Early-onset major depressive disorder (EO-MDD) is characterized by its significant heterogeneity, hindering progress in research. Traditional case-control studies, like group-level structural covariance network, struggle to capture individual heterogeneity among EO-MDD patients. In this study, T1-we...

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Vydané v:	Journal of affective disorders Ročník 374; s. 630 - 639
Hlavní autori:	Luo, Zhanjie, Hu, Zhibo, Qiu, Xiaowei, Li, Weicheng, Wang, Chengyu, Lan, Xiaofeng, Mai, Siming, Chen, Yiying, Liu, Guanxi, Zhang, Fan, Chen, Xiaoyu, You, Zerui, Zeng, Yexian, Liang, Yanmei, Chen, Yifang, Lu, Hanna, Zhou, Yanling, Ning, Yuping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 01.04.2025
Predmet:	Adolescent Adult Age of Onset Brain - diagnostic imaging Brain - pathology Case-Control Studies Depression Depressive Disorder, Major - classification Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - pathology Female Heterogeneity Humans Individual differential structural covariance network Magnetic Resonance Imaging Male Neuroanatomical subtypes Psychiatric/Mental Health Young Adult Heterogeneity Depression Neuroanatomical subtypes Individual differential structural covariance network
ISSN:	0165-0327, 1573-2517, 1573-2517
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