机构：[1]Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.[2]The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.[3]School of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan Province, China.[4]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.[5]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.[6]IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.[7]School of Systems Science, Beijing Normal University, Beijing, China.[8]Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.[9]Department of Psychology, Southwest University, Chongqing, China.[10]Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.[11]Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, Hunan, China.[12]Key Laboratory of Brain Functional Genomics (Ministry of Education), Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.[13]Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.[14]Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China.[15]Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.四川大学华西医院[16]Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.内科科室精神科昆明医科大学附属第一医院[17]Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China.[18]Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei, Taiwan.[19]Department of Education and Research, Taipei City Hospital, Taipei, Taiwan.[20]Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.[21]Chongqing Key Laboratory of Neurobiology, Chongqing, China.[22]Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.重庆医科大学附属第一医院[23]Chinese Institute for Brain Research, Beijing, China.
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.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.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 abnormal ALFF patterns and clinical features. Importantly, these findings were successfully replicated in another dataset with different acquisition equipment, protocols, preprocessing strategies, and medication statuses, validating their robustness and generalizability.This research identifies shared differential factors underlying individual spontaneous neural activity abnormalities in MDD and contributes novel insights into the heterogeneity of spontaneous neural activity abnormalities in MDD.
基金：
Natural Science Foundation of China (81601467, 81871327, 62106229, 82201709, 82071998, 82021004, 81920108019, 91649117, 81771344, 81471251), Medical science
and technology research project of Henan province (201701011,
SBGJ202102103, SBGJ202101013, SBGJ202302068), China Postdoctoral
Science Foundation (2022M712890), Medical science and technology research
project of Henan province (LHGJ20230217), Beijing Natural Science
Foundation (JQ23033), Beijing United Imaging Research Institute of
Intelligent Imaging Foundation (CRIBJZD202102), Science and Technology
Plan Project of Guangzhou (2018-1002-SF-0442), and Guangzhou Key
Laboratory (09002344).
第一作者机构：[1]Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
通讯作者：
推荐引用方式(GB/T 7714)：
Han Shaoqiang,Tian Ya,Zheng Ruiping,et al.Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder[J].Psychological Medicine.2024,54(15):4316-4334.doi:10.1017/S0033291724002617.
APA：
Han Shaoqiang,Tian Ya,Zheng Ruiping,Wen Baohong,Liu Liang...&Cheng Jingliang.(2024).Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder.Psychological Medicine,54,(15)
MLA：
Han Shaoqiang,et al."Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder".Psychological Medicine 54..15(2024):4316-4334
医学