A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRI

Jiun Yiing Hu, Evgeniya Kirilina, Till Nierhaus, Smadar Ovadia-Caro, Michelle Livne, Kersten Villringer, Daniel Margulies, Jochen B. Fiebach, Arno Villringer, Ahmed A. Khalil

Research output: Contribution to journalArticlepeer-review

Abstract

Individualized treatment of acute stroke depends on the timely detection of ischemia and potentially salvageable tissue in the brain. Using functional MRI (fMRI), it is possible to characterize cerebral blood flow from blood-oxygen-level-dependent (BOLD) signals without the administration of exogenous contrast agents. In this study, we applied spatial independent component analysis to resting-state fMRI data of 37 stroke patients scanned within 24 hr of symptom onset, 17 of whom received follow-up scans the next day. Our analysis revealed “Hypoperfusion spatially-Independent Components” (HICs) whose spatial patterns of BOLD signal resembled regions of delayed perfusion depicted by dynamic susceptibility contrast MRI. These HICs were detected even in the presence of excessive patient motion, and disappeared following successful tissue reperfusion. The unique spatial and temporal features of HICs allowed them to be distinguished with high accuracy from other components in a user-independent manner (area under the curve = 0.93, balanced accuracy = 0.90, sensitivity = 1.00, and specificity = 0.85). Our study therefore presents a new, noninvasive method for assessing blood flow in acute stroke that minimizes interpretative subjectivity and is robust to severe patient motion.

Original languageEnglish
Pages (from-to)5204-5216
Number of pages13
JournalHuman Brain Mapping
Volume42
Issue number16
DOIs
StatePublished - Nov 2021

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Keywords

  • blood oxygenation level dependent signal
  • perfusion
  • resting-state functional magnetic resonance imaging
  • spatial independent component analysis
  • stroke

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Anatomy

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