Evidence map›Paper›PMID 32846124›Full record

ArticleCell reports2020

How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships.

Abigail S Greene, Siyuan Gao, Stephanie Noble, Dustin Scheinost, R Todd Constable

Abstract read
In one paragraph

Article in Cell reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 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

5 authors.

Abigail S GreeneInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; MD/PhD Program, Yale School of Medicine, New Haven, CT, USA. Electronic address: abigail.greene@yale.edu.
Siyuan GaoDepartment of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, CT, USA.
Stephanie NobleDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Dustin ScheinostInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA; The Child Study Center, Yale School of Medicine, New Haven, CT, USA.
R Todd ConstableInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA; Department of Biomedical Engineering, Yale School of Engineering & Applied Science, New Haven, CT, USA; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA; Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA. 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
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 MH121095NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Functional connectivity (FC) calculated from task fMRI data better reveals brain-phenotype relationships than rest-based FC, but how tasks have this effect is unknown. In over 700 individuals performing seven tasks, we use psychophysiological interaction (PPI) and predictive modeling analyses to demonstrate that task-induced changes in FC successfully predict phenotype, and these changes are not simply driven by task activation. Activation, however, is useful for prediction only if the in-scanner task is related to the predicted phenotype. To further characterize these predictive FC changes, we develop and apply an inter-subject PPI analysis. We find that moderate, but not high, task-induced consistency of the blood-oxygen-level-dependent (BOLD) signal across individuals is useful for prediction. Together, these findings demonstrate that in-scanner tasks have distributed, phenotypically relevant effects on brain functional organization, and they offer a framework to leverage both task activation and FC to reveal the neural bases of complex human traits, symptoms, and behaviors.

Indexed as

BrainFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysPhenotypebrain-phenotype relationshipsbrain statefMRIfunctional connectivityHuman Connectome Projectindividual differencespredictive modelingtasks

Identifiers

PMID32846124
PMCPMC7469925

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.