Evidence map›Paper›PMID 32007498›Full record

ArticleNeuroImage2020

Damage to the shortest structural paths between brain regions is associated with disruptions of resting-state functional connectivity after stroke.

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

Open access · goldAbstract 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 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

46 citing papers in PubMed, 74 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Joseph C GriffisDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, 63110, USA. Electronic address: jcgriffis@wustl.edu.
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 and Padua Neuroscience Center, University of Padua, Padua, Italy; Venetian Institute of Molecular Medicine (VIMM), 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.
Washington University in St. Louis · USVeneto Institute of Molecular Medicine · IT

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

Focal brain lesions disrupt resting-state functional connectivity, but the underlying structural mechanisms are unclear. Here, we examined the direct and indirect effects of structural disconnections on resting-state functional connectivity in a large sample of sub-acute stroke patients with heterogeneous brain lesions. We estimated the impact of each patient's lesion on the structural connectome by embedding the lesion in a diffusion MRI streamline tractography atlas constructed using data from healthy individuals. We defined direct disconnections as the loss of direct structural connections between two regions, and indirect disconnections as increases in the shortest structural path length between two regions that lack direct structural connections. We then tested the hypothesis that functional connectivity disruptions would be more severe for disconnected regions than for regions with spared connections. On average, nearly 20% of all region pairs were estimated to be either directly or indirectly disconnected by the lesions in our sample, and extensive disconnections were associated primarily with damage to deep white matter locations. Importantly, both directly and indirectly disconnected region pairs showed more severe functional connectivity disruptions than region pairs with spared direct and indirect connections, respectively, although functional connectivity disruptions tended to be most severe between region pairs that sustained direct structural disconnections. Together, these results emphasize the widespread impacts of focal brain lesions on the structural connectome and show that these impacts are reflected by disruptions of the functional connectome. Further, they indicate that in addition to direct structural disconnections, lesion-induced increases in the structural shortest path lengths between indirectly structurally connected region pairs provide information about the remote functional disruptions caused by focal brain lesions.

Indexed as

Nerve NetStrokeAdultAgedConnectomeFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedFunctional connectivityLesionShortest path lengthStrokeStructural connectivityStructural disconnection

Identifiers

PMID32007498
PMCPMC7061444
OpenAlexW3004394873

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.