Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder

作者：Shaoqiang Han, Ya Tian, Ruiping Zheng, Baohong Wen, Liang Liu, Hao Liu, Yarui Wei, Huafu Chen, Zongya Zhao, Mingrui Xia, Xiaoyi Sun, Xiaoqin Wang, Dongtao Wei, Bangshan Liu, Chu‐Chung Huang, Yanting Zheng, Yankun Wu, Taolin Chen, Yuqi Cheng, Xiu-Feng Xu, Qiyong Gong, Tianmei Si, Shijun Qiu, Ching‐Po Lin, Yanqing Tang, Fei Wang, Jiang Qiu, Peng Xie, Lingjiang Li, Yong He, Yuan Chen, Yong Zhang, DIDA-MDD Working Group, Jingliang Cheng · 发表于：Psychological Medicine · 年份：2024 · DOI：10.1017/s0033291724002617 · 被引用次数：4 · 研究领域：Tryptophan and brain disorders、Treatment of Major Depression、Mental Health Research Topics

BACKGROUND: In contemporary neuroimaging studies, it has been observed that patients with major depressive disorder (MDD) exhibit aberrant spontaneous neural activity, commonly quantified through the amplitude of low-frequency fluctuations (ALFF). However, the substantial individual heterogeneity among patients poses a challenge to reaching a unified conclusion. METHODS: To address this variability, our study adopts a novel framework to parse individualized ALFF abnormalities. We hypothesize that individualized ALFF abnormalities can be portrayed as a unique linear combination of shared differential factors. Our study involved two large multi-center datasets, comprising 2424 patients with MDD and 2183 healthy controls. In patients, individualized ALFF abnormalities were derived through normative modeling and further deconstructed into differential factors using non-negative matrix factorization. RESULTS: Two positive and two negative factors were identified. These factors were closely linked to clinical characteristics and explained group-level ALFF abnormalities in the two datasets. Moreover, these factors exhibited distinct associations with the distribution of neurotransmitter receptors/transporters, transcriptional profiles of inflammation-related genes, and connectome-informed epicenters, underscoring their neurobiological relevance. Additionally, factor compositions facilitated the identification of four distinct depressive subtypes, each characterized by unique abnorma...