Evidence map›Paper›PMID 31634545›Full record

ArticleNeuroImage2020

A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum.

Benjamin A Seitzman, Caterina Gratton, Scott Marek, Ryan V Raut, Nico U F Dosenbach, Bradley L Schlaggar, Steven E Petersen, Deanna J Greene

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 171 papers.

0numbers the graph read from it
0cells of the map it votes in
171citing 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

171 citing papers in PubMed.

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  4. Combined Cognitive Training and Vortioxetine Mitigates Age-Related Declines in Functional Brain Network Integrity.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
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  10. Functional brain organization is stable within individuals across years.bioRxiv : the preprint server for biology · 2026
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  14. Review
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111 more citing papers are in PubMed but not listed here.

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

8 authors.

Benjamin A SeitzmanDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: seitzman@wustl.edu.
Caterina GrattonDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: cgratton@wustl.edu.
Scott MarekDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: smarek@wustl.edu.
Ryan V RautDepartment of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: raut@wustl.edu.
Nico U F DosenbachDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Occupational Therapy, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USA. Electronic address: dosenbachn@wustl.edu.
Bradley L SchlaggarDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Pediatrics, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: schlaggarb@wustl.edu.
Steven E PetersenDepartment of Neurology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Psychological and Brain Sciences, Washington University in St. Louis, One Brookings Dr, St. Louis, MO, 63130, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Neuroscience, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis- School of Engineering and Applied Science, One Brookings Dr, St. Louis, MO, 63130, USA. Electronic address: sep@wustl.edu.
Deanna J GreeneDepartment of Psychiatry, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA; Department of Radiology, Washington University in St. Louis- School of Medicine, 660 S Euclid Ave, St. Louis, MO, 63110, USA. Electronic address: dgreene@wustl.edu.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Developmental Neuroscience and Child PsychopathologyT32MH100019 · NIMH · WASHINGTON UNIVERSITY · PI Deanna Barch, JOAN L. LUBY · 2013 to 2026
$4.8M
Sources and Functional Consequences of Individual Differences in Human Functional Brain Networks Related to Controlled BehaviorR01MH118370 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GRATTON, CATERINA · 2019 to 2023
$3.4M
Longitudinal Study of Brain Imaging and Cognitive Markers of Tourette Syndrome in ChildrenR01MH118217 · NIMH · WASHINGTON UNIVERSITY · PI GREENE, DEANNA JACQUELYN · 2019 to 2025
$3.2M
The Study of Task-Level Control Signals Using fMRIR01NS046424 · NINDS · WASHINGTON UNIVERSITY · PI PETERSEN, STEVEN E. · 2003 to 2006
$1.4M
PEDIATRIC BRAIN INJURY RECOVERY VIA USE-DRIVEN FUNCTIONAL NETWORK REORGANIZATIONK23NS088590 · NINDS · WASHINGTON UNIVERSITY · PI DOSENBACH, NICO · 2015 to 2019
$886k
Interdisciplinary Training in Cognitive, Computational and Systems NeuroscienceT32NS073547 · NINDS · WASHINGTON UNIVERSITY · PI BARBOUR, DENNIS L, PETERSEN, STEVEN E. · 2011 to 2015
$850k
PREDICTING OUTCOME IN CHILDREN WITH TIC DISORDERS USING NEUROIMAGING DATAK01MH104592 · NIMH · WASHINGTON UNIVERSITY · PI GREENE, DEANNA JACQUELYN · 2014 to 2018
$723k
DEFINING FUNCTIONAL AREAS IN THE HUMAN BRAIN USING RESTING FUNCTIONAL CONNECTIVITR21NS061144 · NINDS · WASHINGTON UNIVERSITY · PI PETERSEN, STEVEN E. · 2008 to 2009
$366k
Examining vulnerable brain locations using network analysisF32NS092290 · NINDS · WASHINGTON UNIVERSITY · PI GRATTON, CATERINA · 2015 to 2017
$112k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIMH NIH HHS K01 MH104592NIMH NIH HHS R01 MH118217NIMH NIH HHS R01 MH118370NIMH NIH HHS T32 MH100019NINDS NIH HHS F32 NS092290NINDS NIH HHS K23 NS088590NINDS NIH HHS R01 NS046424NINDS NIH HHS R21 NS061144NINDS NIH HHS T32 NS073547
6 · The paper itself

Abstract

An important aspect of network-based analysis is robust node definition. This issue is critical for functional brain network analyses, as poor node choice can lead to spurious findings and misleading inferences about functional brain organization. Two sets of functional brain nodes from our group are well represented in the literature: (1) 264 volumetric regions of interest (ROIs) reported in Power et al., 2011, and (2) 333 cortical surface parcels reported in Gordon et al., 2016. However, subcortical and cerebellar structures are either incompletely captured or missing from these ROI sets. Therefore, properties of functional network organization involving the subcortex and cerebellum may be underappreciated thus far. Here, we apply a winner-take-all partitioning method to resting-state fMRI data to generate novel functionally-constrained ROIs in the thalamus, basal ganglia, amygdala, hippocampus, and cerebellum. We validate these ROIs in three datasets using several criteria, including agreement with existing literature and anatomical atlases. Further, we demonstrate that combining these ROIs with established cortical ROIs recapitulates and extends previously described functional network organization. This new set of ROIs is made publicly available for general use, including a full list of MNI coordinates and functional network labels.

Indexed as

Brain MappingAdultAmygdalaBasal GangliaCerebellumCerebral CortexHippocampusHumansMagnetic Resonance ImagingNerve NetThalamusCerebellumFunctional connectivityNetworksResting-stateSubcortical

Identifiers

PMID31634545
PMCPMC6981071

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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.