机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China[2]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China[3]IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China[4]School of Systems Science, Beijing Normal University, Beijing, China[5]Chinese Institute for Brain Research, Beijing, China[6]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China[7]Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China[8]Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China四川大学华西医院[9]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[10]Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China[11]Beijing City Key Laboratory for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China[12]IDG/McGovern Institute for Brain Research, Peking University, Beijing, China[13]Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China[14]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China首都医科大学宣武医院[15]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[16]Department of Radiology, Peking University Third Hospital, Beijing, China[17]Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China[18]Mental Health Institute of Central South University, China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Hunan Medical Center for Mental Health, Changsha, China[19]Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China[20]Institute of Neuroscience, National Yang Ming Chiao Tung University, Taipei[21]Department of Education and Research, Taipei City Hospital, Taipei[22]Center for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China[23]Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China[24]Department of Psychology, Southwest University, Chongqing, China[25]Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China[26]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[27]Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China[28]Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China[29]Department of Radiology, Qilu Hospital of Shandong University, Ji’nan, China[30]Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China[31]Chongqing Key Laboratory of Neurobiology, Chongqing, China[32]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[33]Department of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
The functional connectome of the human brain represents the fundamental network architecture of functional interdependence in brain activity, but its normative growth trajectory across the life course remains unknown. Here, we aggregate the largest, quality-controlled multimodal neuroimaging dataset from 119 global sites, including 33,809 task-free fMRI and structural MRI scans from 32,328 individuals ranging in age from 32 postmenstrual weeks to 80 years. Lifespan growth charts of the connectome are quantified at the whole cortex, system, and regional levels using generalized additive models for location, scale, and shape. We report critical inflection points in the non-linear growth trajectories of the whole-brain functional connectome, particularly peaking in the fourth decade of life. Having established the first fine-grained, lifespan-spanning suite of system-level brain atlases, we generate person-specific parcellation maps and further show distinct maturation timelines for functional segregation within different subsystems. We identify a spatiotemporal gradient axis that governs the life-course growth of regional connectivity, transitioning from primary sensory cortices to higher-order association regions. Using the connectome-based normative model, we demonstrate substantial individual heterogeneities at the network level in patients with autism spectrum disorder and patients with major depressive disorder. Our findings shed light on the life-course evolution of the functional connectome and serve as a normative reference for quantifying individual variation in patients with neurological and psychiatric disorders.
基金：
This work was supported by the National Natural Science Foundation of China (Nos. 82021004, 31830034, 31521063, 31221003, 61431012, 81571062, 81471120, 8143003, 61633018, 81972160, 82172018, 81971690, 81920108019, 82330058, 32130045), Changjiang Scholar Professorship Award (No. T2015027). We are grateful to the Adolescent Brain Cognitive Development (ABCD) Study, the Autism Brain Imaging Data Exchange (ABIDE) Initiative, the Alzheimer’s Disease Neuroimaging Initiative(ADNI), the Age_ility Project, the Baby Connectome Project (BCP), the Brain Genomics Superstruct Project (BGSP), the Calgary Preschool MRI Dataset, the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) Dataset, the developing HumanConnectome Project(dHCP), the HumanConnectome Project(HCP), the Lifespan Human Connectome Project (HCPA & HCPD), the Nathan Kline Institute-Rockland Sample (NKI-RS) Dataset, the Neuroscience in Psychiatry Network (NSPN) Dataset, the Pixar Dataset, the Southwest University Adult Lifespan Dataset (SALD), the Southwest University Longitudinal Imaging Multimodal (SLIM) Brain Data Repository, the UK Biobank (UKB) Brain Imaging Dataset, the Disease Imaging Data Archiving: major depressive disorder (DIDA-MDD) Working Group (PI: Yong He, Lingjiang Li, Jingliang Cheng, Qiyong Gong, Ching-Po Lin, Jiang Qiu, Shijun Qiu, Tianmei Si, Yanqing Tang, Fei Wang, Peng Xie, Xiufeng Xu, and Mingrui Xia), the Multi-center Alzheimer Disease Imaging (MCADI) Consortium (PI: Yong Liu, Xi Zhang, Yuying Zhou, Ying Han, and Qing Wang). We thank the National Center for Protein Sciences at Peking University in Beijing, China, for assistance with MRI data acquisition.
语种：
外文
PubmedID：
第一作者：
第一作者机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China[2]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China[3]IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
通讯作者：
通讯机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China[2]Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China[3]IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China[5]Chinese Institute for Brain Research, Beijing, China
推荐引用方式(GB/T 7714)：
Sun Lianglong,Zhao Tengda,Liang Xinyuan,et al.Functional connectome through the human life span[J].bioRxiv : the preprint server for biology.2023,doi:10.1101/2023.09.12.557193.
APA：
Sun Lianglong,Zhao Tengda,Liang Xinyuan,Xia Mingrui,Li Qiongling...&He Yong.(2023).Functional connectome through the human life span.bioRxiv : the preprint server for biology,,
MLA：
Sun Lianglong,et al."Functional connectome through the human life span".bioRxiv : the preprint server for biology .(2023)
