Evidence map›Paper›PMID 32488253›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2020

Structural Brain Architectures Match Intrinsic Functional Networks and Vary across Domains: A Study from 15 000+ Individuals.

Na Luo, Jing Sui, Anees Abrol, Jiayu Chen, Jessica A Turner, Eswar Damaraju, Zening Fu, Lingzhong Fan, Dongdong Lin, Chuanjun Zhuo and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

30 citing papers in PubMed, 51 citations in OpenAlex.

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  14. Dopamine D1-Receptor Organization Contributes to Functional Brain Architecture.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

16 authors at 10 institutions in 2 countries.

Na LuoBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Jing SuiBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Anees AbrolTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Jiayu ChenTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Jessica A TurnerDepartment of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA, USA.
Eswar DamarajuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Lingzhong FanBrainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
Dongdong LinTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Chuanjun ZhuoDepartment of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory (PNGC-Lab), Tianjin Mental Health Center, Nankai University Affiliated Anding Hospital, Tianjin, 300222, China.
Yong XuDepartment of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan 030000, China.
David C GlahnDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Amanda L RodrigueDepartment of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Marie T BanichDepartment of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA.
Godfrey D PearlsonOlin Neuropsychiatry Research Center, Hartford Hospital/Institute of Living, Hartford, CT 06114, USA.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS): Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Georgia State University · USBoston Children's Hospital · USEmory University · USGeorgia Institute of Technology · USUniversity of Chinese Academy of Sciences · CNChinese Academy of Sciences · CNFirst Hospital of Shanxi Medical University · CNHartford Hospital · USTianjin Anding Hospital · CNUniversity of Colorado Boulder · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI BEDRICK, EDWARD J · 2012 to 2017
$14.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
Flexible multivariate models for linking multi-scale connectome and genome data in Alzheimer's disease and related disordersRF1AG063153 · NIA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2020
$3.5M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Data-driven approaches to identify biomarkers from multimodal imaging big dataR01MH117107 · NIMH · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D · 2019 to 2022
$1.6M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NCATS NIH HHS UL1 TR001863NIA NIH HHS RF1 AG063153NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM103472NIMH NIH HHS R01 MH094524NIMH NIH HHS R01 MH117107NIMH NIH HHS R01 MH118695
6 · The paper itself

Abstract

Brain structural networks have been shown to consistently organize in functionally meaningful architectures covering the entire brain. However, to what extent brain structural architectures match the intrinsic functional networks in different functional domains remains under explored. In this study, based on independent component analysis, we revealed 45 pairs of structural-functional (S-F) component maps, distributing across nine functional domains, in both a discovery cohort (n = 6005) and a replication cohort (UK Biobank, n = 9214), providing a well-match multimodal spatial map template for public use. Further network module analysis suggested that unimodal cortical areas (e.g., somatomotor and visual networks) indicate higher S-F coherence, while heteromodal association cortices, especially the frontoparietal network (FPN), exhibit more S-F divergence. Collectively, these results suggest that the expanding and maturing brain association cortex demonstrates a higher degree of changes compared with unimodal cortex, which may lead to higher interindividual variability and lower S-F coherence.

Indexed as

AdultAgedBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural Pathwaysheteromodal association cortexindependent component analysis (ICA)intrinsic brain networksstructure-function coherenceunimodal cortex

Identifiers

PMID32488253
PMCPMC7566687
OpenAlexW3029867194

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.