Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
Confirmatory Results

Measuring functional connectivity in stroke – approaches and considerations

View ORCID ProfileJoshua S. Siegel, Gordon L. Shulman, View ORCID ProfileMaurizio Corbetta
doi: https://doi.org/10.1101/177618
Joshua S. Siegel
aDepartments of Neurology, Washington University School of Medicine, St. Louis, MO 63130, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Joshua S. Siegel
  • For correspondence: jssiegel@wustl.edu
Gordon L. Shulman
aDepartments of Neurology, Washington University School of Medicine, St. Louis, MO 63130, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maurizio Corbetta
aDepartments of Neurology, Washington University School of Medicine, St. Louis, MO 63130, USA
bMallinckrodt institute of Radiology, Washington University School of Medicine, St. Louis, MO 63130, USA
cDepartment of Psychology, Washington University School of Medicine, St. Louis, MO 63130, USA
dDepartment of Biomedical Engineering, Washington University School of Medicine, St.Louis, MO 63130, USA
eDepartment of Neuroscience, University of Padua, Padua, Italy 35122
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maurizio Corbetta
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Recent research has demonstrated the importance of global changes to the functional organization of brain network following stroke. Resting functional MRI (R-fMRI) is a non-invasive tool that enables the measurement of functional connectivity (FC) across the entire brain while placing minimal demands on the subject. For these reasons, it is a uniquely appealing tool for studying the distant effects of stroke. However, R-fMRI studies rely on a number of premises that cannot be assumed without careful validation in the context of stroke. Here, we describe strategies to identify and mitigate confounds specific to R-fMRI research in cerebrovascular disease. Five main topics are discussed: 1) achieving adequate co-registration of lesioned brains, 2) identifying and removing hemodynamic lags in resting BOLD, 3) identifying other vascular disruptions that affect the resting BOLD signal, 4) selecting an appropriate control cohort, and 5) acquiring sufficient fMRI data to reliably identify FC changes. For each topic, we provide evidence-based guidelines for steps to improve the interpretability and reproducibility of FC-stroke research. We include a table of confounds and approaches to identify and mitigate each. Our recommendations extend to any research using R-fMRI to study diseases that might alter cerebrovascular flow and dynamics or brain anatomy.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted August 17, 2017.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Measuring functional connectivity in stroke – approaches and considerations
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Measuring functional connectivity in stroke – approaches and considerations
Joshua S. Siegel, Gordon L. Shulman, Maurizio Corbetta
bioRxiv 177618; doi: https://doi.org/10.1101/177618
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Measuring functional connectivity in stroke – approaches and considerations
Joshua S. Siegel, Gordon L. Shulman, Maurizio Corbetta
bioRxiv 177618; doi: https://doi.org/10.1101/177618

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4224)
  • Biochemistry (9101)
  • Bioengineering (6748)
  • Bioinformatics (23932)
  • Biophysics (12081)
  • Cancer Biology (9489)
  • Cell Biology (13727)
  • Clinical Trials (138)
  • Developmental Biology (7614)
  • Ecology (11655)
  • Epidemiology (2066)
  • Evolutionary Biology (15475)
  • Genetics (10614)
  • Genomics (14291)
  • Immunology (9455)
  • Microbiology (22773)
  • Molecular Biology (9069)
  • Neuroscience (48836)
  • Paleontology (354)
  • Pathology (1479)
  • Pharmacology and Toxicology (2560)
  • Physiology (3821)
  • Plant Biology (8307)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2289)
  • Systems Biology (6168)
  • Zoology (1297)