Evidence map›Paper›PMID 34224851›Full record

ArticleNeuroImage2021

Within node connectivity changes, not simply edge changes, influence graph theory measures in functional connectivity studies of the brain.

Wenjing Luo, Abigail S Greene, R Todd Constable

Abstract read
In one paragraph

Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

3 authors.

Wenjing LuoBiomedical Engineering, Yale University School of Medicine, United States.
Abigail S GreeneInterdepartmental Neuroscience Program, Yale University School of Medicine, United States; MD/PhD program, Yale University School of Medicine, United States.
R Todd ConstableBiomedical Engineering, Yale University School of Medicine, United States; Radiology and Biomedical Imaging, Yale University School of Medicine, United States; Interdepartmental Neuroscience Program, Yale University School of Medicine, United States. Electronic address: todd.constable@yale.edu.

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
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Understanding evoked and resting-state fMRI through multi scale imagingR01MH111424 · NIMH · YALE UNIVERSITY · PI CONSTABLE, R TODD, CRAIR, MICHAEL C. · 2016 to 2020
$5.2M
An Individualized, Multidimensional Dimensional Approach to PsychopathologyR01MH121095 · NIMH · YALE UNIVERSITY · PI CONSTABLE, R TODD, SCHEINOST, DUSTIN · 2019 to 2023
$4.2M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIGMS NIH HHS T32 GM007205NIMH NIH HHS R01 MH111424NIMH NIH HHS R01 MH121095NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Interest in understanding the organization of the brain has led to the application of graph theory methods across a wide array of functional connectivity studies. The fundamental basis of a graph is the node. Recent work has shown that functional nodes reconfigure with brain state. To date, all graph theory studies of functional connectivity in the brain have used fixed nodes. Here, using fixed-, group-, state-specific, and individualized- parcellations for defining nodes, we demonstrate that functional connectivity changes within the nodes significantly influence the findings at the network level. In some cases, state- or group-dependent changes of the sort typically reported do not persist, while in others, changes are only observed when node reconfigurations are considered. The findings suggest that graph theory investigations into connectivity contrasts between brain states and/or groups should consider the influence of voxel-level changes that lead to node reconfigurations; the fundamental building block of a graph.

Indexed as

Neural Networks, ComputerBrainConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetBrain, atlasFunctional connectivityFunctional parcellationGraph theoryNetwork neuroscience

Identifiers

PMID34224851
PMCPMC8493952

What OpenQuestion holds

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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 OpenQuestion graph.