Cited by 27Acute Ischemic Stroke ManagementFunctional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and Applications

Rich-Club Organization: An Important Determinant of Functional Outcome After Acute Ischemic Stroke

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Schirmer, Markus D., Ktena, Sofia Ira, Nardin, Marco J., Donahue, Kathleen L., Giese, Anne-Katrin, Etherton, Mark R., Wu, Ona, Rost, Natalia S.·2019·Frontiers in Neurology

Published version of a preprint

Abstract

Abstract Objective To determine whether the rich-club organization, essential for information transport in the human connectome, is an important biomarker of functional outcome after acute ischemic stroke (AIS). Methods Consecutive AIS patients (N=344) with acute brain magnetic resonance imaging (MRI) (<48 hours) were eligible for this study. Each patient underwent a clinical MRI protocol, which included diffusion weighted imaging (DWI). All DWIs were registered to a template on which rich-club regions have been defined. Using manual outlines of stroke lesions, we automatically counted the number of affected rich-club regions and assessed its effect on the National Institute of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS; obtained at 90 days post-stroke) scores through ordinal regression. Results Of 344 patients (median age 65, inter-quartile range 54-76 years) with a median DWI lesion volume (DWIv) of 3cc, 64% were male. We established that an increase in number of rich-club regions affected by a stroke increases the odds of poor stroke outcome, measured by NIHSS (OR: 1.77, 95%CI 1.41-2.21) and mRS (OR: 1.38, 95%CI 1.11-1.73). Additionally, we demonstrated that the OR exceeds traditional markers, such as DWIv (OR NIHSS 1.08, 95%CI 1.06-1.11; OR mRs 1.05, 95%CI 1.03-1.07) and age (OR NIHSS 1.03, 95%CI 1.01-1.05; OR mRs 1.05, 95%CI 1.03-1.07). Conclusion In this proof-of-concept study, the number of rich-club nodes affected by a stroke lesion presents a translational biomarker of stroke outcome, which can be readily assessed using standard clinical AIS imaging protocols and considered in functional outcome prediction models beyond traditional factors.

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Authors
Schirmer, M. D., Ktena, S. I., Nardin, M. J., Donahue, K. L., Giese, A.-K., Etherton, M. R., Wu, O., & Rost, N. S.
Affiliations
  • Harvard University (US)
  • Imperial College London (GB)
  • Massachusetts General Hospital (US)
Corresponding author
Schirmer, Markus D.
Venue
Frontiers in Neurology
Published
2019-09-10
Volume
10
Pages
956-956
ISSN
1664-2295 (ISSN-L)
OpenAlex
W2969705773
Cited by
27
References
34
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 5 · 2021: 8 · 2020: 4 · 2019: 4
FWCI
4.00
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Neurology (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DZNE Pub (submittedVersion, cc-by)
  • Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
Funders
  • National Institute of Neurological Disorders and Stroke (K23NS064052, R01NS082285, R01NS086905)
  • Horizon 2020 Framework Programme (753896)
  • Henrietta B. and Frederick H. Bugher Foundation
Topics
  • Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
rich club, acute ischemic stroke, functional outcome, stroke outcome prediction, biomarkers, human connectome, diffusion-weighted imaging, NIHSS, modified Rankin Scale, white matter microstructure

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