Evidence map›Paper›PMID 32909037›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

A Whole-Brain and Cross-Diagnostic Perspective on Functional Brain Network Dysfunction.

Marjolein Spronk, Brian P Keane, Takuya Ito, Kaustubh Kulkarni, Jie Lisa Ji, Alan Anticevic, Michael W Cole

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  7. The impact of functional correlations on task information coding.Network neuroscience (Cambridge, Mass.) · 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

7 authors at 2 institutions in 1 country.

Marjolein SpronkCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Brian P KeaneCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Takuya ItoCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Kaustubh KulkarniCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Jie Lisa JiDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.
Alan AnticevicDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA.
Michael W ColeCenter for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ 07102, USA.
Rutgers, The State University of New Jersey · USYale University · 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
Brain Network Mechanisms of Aging-Related Cognitive DeclineR01AG055556 · NIA · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2017 to 2022
$2.3M
Brain Network Mechanisms of Instructed LearningR01MH109520 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2016 to 2020
$2.0M
Network Mechanisms of Flexible Cognitive ControlR00MH096801 · NIMH · RUTGERS THE STATE UNIV OF NJ NEWARK · PI COLE, MICHAEL WILLIAM · 2014 to 2016
$747k
Neural mechanisms of perceptual organization deficits across the schizo-bipolar spectrumK01MH108783 · NIMH · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI KEANE, BRIAN PATRICK · 2016 to 2019
$680k
NCATS NIH HHS UL1 TR001863NIA NIH HHS R01 AG055556NIMH NIH HHS K01 MH108783NIMH NIH HHS R00 MH096801NIMH NIH HHS R01 MH109520
6 · The paper itself

Abstract

A wide variety of mental disorders have been associated with resting-state functional network alterations, which are thought to contribute to the cognitive changes underlying mental illness. These observations appear to support theories postulating large-scale disruptions of brain systems in mental illness. However, existing approaches isolate differences in network organization without putting those differences in a broad, whole-brain perspective. Using a graph distance approach-connectome-wide similarity-we found that whole-brain resting-state functional network organization is highly similar across groups of individuals with and without a variety of mental diseases. This similarity was observed across autism spectrum disorder, attention-deficit hyperactivity disorder, and schizophrenia. Nonetheless, subtle differences in network graph distance were predictive of diagnosis, suggesting that while functional connectomes differ little across health and disease, those differences are informative. These results suggest a need to reevaluate neurocognitive theories of mental illness, with a role for subtle functional brain network changes in the production of an array of mental diseases. Such small network alterations suggest the possibility that small, well-targeted alterations to brain network organization may provide meaningful improvements for a variety of mental disorders.

Indexed as

AdultAutism Spectrum DisorderBrainConnectomeFemaleHumansMagnetic Resonance ImagingMaleNerve NetSchizophreniaattention-deficit hyperactivity disorderautism spectrum disorderfunctional connectivityresting stateschizophrenia

Identifiers

PMID32909037
PMCPMC7947178
OpenAlexW3086973986

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.