Cited by 213Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsTraumatic Brain Injury Research

Structural disconnections explain brain network dysfunction after stroke

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Griffis, Joseph C., Metcalf, Nicholas V., Corbetta, Maurizio, Shulman, Gordon L.·2019·Cell Reports

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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.

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Crossref · 10.1016/j.celrep.2019.07.100

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  • The association between persistent speech production impairments and white matter damage aligns with prior evidence suggesting that white matter damage poses a major constraint on brain plasticity.

    “The association between persistent speech production impairments and white matter damage aligns well with prior evidence suggesting that white matter damage poses a major constraint on brain plasticity (Duffau, 2014; Herbet et al., 2016; Griffis et al., 2019).”
  • Tract disconnection metrics are generally more sensitive than tract lesion load per se.

    “demonstrated that tract disconnection metrics were generally more sensitive than tract lesion load per se.”

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Authors
Griffis, J. C., Metcalf, N. V., Corbetta, M., & Shulman, G. L.
Affiliations
  • Washington University in St. Louis (US)
  • University of Padua (IT)
Corresponding author
Shulman, Gordon L.
Venue
Cell Reports
Publisher
Elsevier BV
Published
2019-09
Volume
28
Issue
10
Pages
2527-2540.e9
ISSN
2211-1247 (ISSN-L)
OpenAlex
W2971751649
Cited by
213
References
129
Citations by year
2026: 40 · 2025: 30 · 2024: 27 · 2023: 33 · 2022: 39 · 2021: 34 · 2020: 8 · 2019: 2
FWCI
12.06
Type
journal article
Language
en
Open access
Locations
  • Cell Reports (publishedVersion, cc-by-nc-nd)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, other-oa)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Commons@Becker (Washington University School of Medicine) (submittedVersion, cc-by-nc-nd)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Padua Research Archive (University of Padova) (submittedVersion, cc-by-nc-nd)
Funders
  • National Institute of Mental Health
  • National Institutes of Health
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Health Sciences › Medicine › Epidemiology › Traumatic Brain Injury Research
Keywords
stroke, structural disconnection, functional connectivity, white matter tracts, interhemispheric connections, structural connectome, brain network dysfunction, focal brain lesions
MeSH terms
Brain, Humans, Magnetic Resonance Imaging, Nerve Net, Stroke

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