Evidence map›Paper›PMID 37745373›Full record

ArticlebioRxiv : the preprint server for biology2024

Functional connectome through the human life span.

Lianglong Sun, Tengda Zhao, Xinyuan Liang, Mingrui Xia, Qiongling Li, Xuhong Liao, Gaolang Gong, Qian Wang, Chenxuan Pang, Qian Yu and 65 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

75 authors.

Lianglong SunState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Tengda ZhaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xinyuan LiangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Mingrui XiaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Qiongling LiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xuhong LiaoSchool of Systems Science, Beijing Normal University, Beijing, China.
Gaolang GongState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Qian WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Chenxuan PangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Qian YuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yanchao BiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Pindong ChenBrainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Rui ChenState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yuan ChenDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Taolin ChenHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Jingliang ChengDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuqi ChengDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Zaixu CuiChinese Institute for Brain Research, Beijing, China.
Zhengjia DaiState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yao DengState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yuyin DingState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Qi DongState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Dingna DuanState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Jia-Hong GaoCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Qiyong GongHuaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0002-5912-4871
Ying HanDepartment of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.ORCID 0000-0003-0377-7424
Zaizhu HanState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Chu-Chung HuangKey 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.ORCID 0000-0002-9096-9610
Ruiwang HuangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Ran HuoDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Lingjiang LiDepartment of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Ching-Po LinInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Qixiang LinState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Bangshan LiuDepartment of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China.
Chao LiuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Ningyu LiuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Ying LiuDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Yong LiuCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Jing LuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Leilei MaState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Weiwei MenCenter for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Shaozheng QinState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Jiang QiuKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.
Shijun QiuDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Tianmei SiPeking 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.
Shuping TanBeijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
Yanqing TangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Sha TaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Dawei WangDepartment of Radiology, Qilu Hospital of Shandong University, Ji'nan, China.
Fei WangDepartment of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
Jiali WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Pan WangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China.
Xiaoqin WangKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.
Yanpei WangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Dongtao WeiKey Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China.
Yankun WuPeking 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.
Peng XieChongqing Key Laboratory of Neurobiology, Chongqing, China.ORCID 0000-0002-0081-6048
Xiufeng XuDepartment of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yuehua XuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Zhilei XuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Liyuan YangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Huishu YuanDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Zilong ZengState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Haibo ZhangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Xi ZhangDepartment of Neurology, the Second Medical Centre, National Clinical Research Centre for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Gai ZhaoState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Yanting ZhengDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Suyu ZhongCenter for Artificial Intelligence in Medical Imaging, School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Alzheimer’s Disease Neuroimaging Initiative
Cam-CAN
Developing Human Connectome Project
DIDA-MDD Working Group
MCADI
NSPN
Yong HeState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
NIA NIH HHS U01 AG024904NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS K23 MH087770NIMH NIH HHS P50 MH086385NIMH NIH HHS R03 MH096321NIMH NIH HHS R21 MH107045NIMH NIH HHS U01 MH109589NIMH NIH HHS U01 MH110274NIMH NIH HHS U54 MH091657Wellcome Trust
6 · The paper itself

Abstract

The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free functional and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years from 132 global sites. We report critical inflection points in the nonlinear growth curves of the global mean and variance of the connectome, peaking in the late fourth and late third decades of life, respectively. After constructing a fine-grained, lifespan-wide suite of system-level brain atlases, we show distinct maturation timelines for functional segregation within different systems. Lifespan growth of regional connectivity is organized along a primary-to-association cortical axis. These connectome-based normative models reveal substantial individual heterogeneities in functional brain networks in patients with autism spectrum disorder, major depressive disorder, and Alzheimer's disease. These findings elucidate the lifespan evolution of the functional connectome and can serve as a normative reference for quantifying individual variation in development, aging, and neuropsychiatric disorders.

Indexed as

brain atlasbrain chartconnectomicsfMRI

Identifiers

PMID37745373
PMCPMC10515818

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.