A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting‐state fMRI. Issue 16 (29th July 2021)

• Record Type: Journal Article
• Authors: Hu, Jiun‐Yiing; Kirilina, Evgeniya; Nierhaus, Till; Ovadia‐Caro, Smadar; Livne, Michelle; Villringer, Kersten; Margulies, Daniel; Fiebach, Jochen B.; Villringer, Arno; Khalil, Ahmed A.
• Is Part Of: Human brain mapping. Volume 42:Issue 16(2021)
• Page Start: 5204
• Page End: 5216
• Publication Date: 2021-07-29
• Subjects: blood oxygenation level dependent signal -- perfusion -- resting‐state functional magnetic resonance imaging -- spatial independent component analysis -- stroke; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.25610
• Languages: English
• ISSNs: 1065-9471

Abstract

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. Abstract : This article presents a new, noninvasive method for assessing blood flow in acute stroke that minimizes interpretative subjectivity and is robust to patient motion.