Evidence map›Paper›PMID 32302765›Full record

ArticleNeuroImage2020

Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics.

Feng Han, Yameng Gu, Gregory L Brown, Xiang Zhang, Xiao Liu

Abstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Feng HanDepartment of Biomedical Engineering, The Pennsylvania State University, PA, USA.
Yameng GuDepartment of Biomedical Engineering, The Pennsylvania State University, PA, USA.
Gregory L BrownDepartment of Engineering Science and Mechanics, The Pennsylvania State University, PA, USA.
Xiang ZhangCollege of Information Sciences and Technology, The Pennsylvania State University, PA, USA.
Xiao LiuDepartment of Biomedical Engineering, The Pennsylvania State University, PA, USA; Institute for Computational and Data Sciences, The Pennsylvania State University, PA, USA. Electronic address: xxl213@engr.psu.edu.

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Neural Basis of Resting-State Functional ConnectivityR00NS092996 · NINDS · PENNSYLVANIA STATE UNIVERSITY, THE · PI LIU, XIAO · 2017 to 2019
$732k
NIMH NIH HHS U54 MH091657NINDS NIH HHS R00 NS092996
6 · The paper itself

Abstract

An essential task of neuroscience is to elucidate the relationship between brain activity, brain structure, and human behavior. This study aims to understand this 3-way relationship by studying the population covariance of resting-state functional connectivity, cortical thickness, and behavioral/demographic measures in a large cohort of individuals. Using a data-driven canonical correlation analysis, we found that maximal pairwise correlations between the three modalities are approximately along the same direction across subjects, which is characterized by the change of the overall positive-negative trait of human behavior. More importantly, this behavioral change is associated with a divergent modulation of both resting-state connectivity and cortical thickness across cortical hierarchies between the higher-order cognitive networks and lower-order sensory/motor regions. The findings suggest that the cross-hierarchy contrast of structural and functional brain measures is tightly linked to the overall positive-negative trait of human behavior/demographics.

Indexed as

AdultCerebral CortexConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetNeuroimagingBehavioral and demographic measuresBrain hierarchyCanonical correlation analysisCortical thicknessResting-state fMRI connectivity

Identifiers

PMID32302765
PMCPMC7311192

What OpenQuestion holds

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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.