Evidence map›Paper›PMID 31484066›Full record

ArticleCell reports2019

Structural Disconnections Explain Brain Network Dysfunction after Stroke.

Joseph C Griffis, Nicholas V Metcalf, Maurizio Corbetta, Gordon L Shulman

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 126 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 3 pooled it
12.3field-weighted citation impact, top 1% 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

126 citing papers in PubMed, 3 syntheses or guidelines pooled it, 209 citations in OpenAlex.

  1. Pooled it
  2. Efficacy of repetitive transcranial magnetic stimulation for post-stroke spasticity: a meta-analysis of randomized controlled trials.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
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  10. Article
  11. Multi-modal lesion mapping of expressive aprosodia.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  12. Observational
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  18. Acute-Phase Machine Learning Prediction of 12-Month Aphasia and Discourse Recovery.medRxiv : the preprint server for health sciences · 2026
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  20. Review

66 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

4 authors at 1 institution in 2 countries.

Joseph C GriffisDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Nicholas V MetcalfDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA.
Maurizio CorbettaDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Bioengineering, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Neuroscience, University of Padua, Padua, Italy; Padua Neuroscience Center, Padua, Italy.
Gordon L ShulmanDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA. Electronic address: gshulman@wustl.edu.
Washington University in St. Louis · US

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Stroke, Brain Networks, and BehaviorR01NS095741 · NINDS · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO · 2015 to 2019
$3.0M
UNDERSTANDING THE EFFECTS OF STROKE USING FUNCTIONAL CONNECTIVITY MRIR01HD061117 · NICHD · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO · 2009 to 2013
$2.8M
NICHD NIH HHS R01 HD061117NIMH NIH HHS U54 MH091657NINDS NIH HHS R01 NS095741
6 · The paper itself

Abstract

Stroke causes focal brain lesions that disrupt functional connectivity (FC), a measure of activity synchronization, throughout distributed brain networks. It is often assumed that FC disruptions reflect damage to specific cortical regions. However, an alternative explanation is that they reflect the structural disconnection (SDC) of white matter pathways. Here, we compare these explanations using data from 114 stroke patients. Across multiple analyses, we find that SDC measures outperform focal damage measures, including damage to putative critical cortical regions, for explaining FC disruptions associated with stroke. We also identify a core mode of structure-function covariation that links the severity of interhemispheric SDCs to widespread FC disruptions across patients and that correlates with deficits in multiple behavioral domains. We conclude that a lesion's impact on the structural connectome is what determines its impact on FC and that interhemispheric SDCs may play a particularly important role in mediating FC disruptions after stroke.

Indexed as

BrainHumansMagnetic Resonance ImagingNerve NetStrokebrain networksdiffusion MRIfunctional connectivityfunctional MRIlesionresting statestrokestructural connectivitystructural disconnectionstructure-function

Identifiers

PMID31484066
PMCPMC7032047
OpenAlexW2971751649

What OpenQuestion holds

Textmetadata
LicenceTDM
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.