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dc.contributor.authorHu, Jiun-Yiing
dc.contributor.authorKirilina, Evgeniya
dc.contributor.authorNierhaus, Till
dc.contributor.authorOvadia-Caro, Smadar
dc.contributor.authorLivne, Michelle
dc.contributor.authorVillringer, Kersten
dc.contributor.authorMargulies, Daniel
dc.contributor.authorFiebach, Jochen B
dc.contributor.authorVillringer, Arno
dc.contributor.authorKhalil, Ahmed A
dc.date.accessioned2021-08-09T14:20:58Z
dc.date.available2021-08-09T14:20:58Z
dc.date.issued2021-07-29
dc.identifier.urihttp://hdl.handle.net/10713/16345
dc.description.abstractIndividualized 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. © 2021 The Authors.en_US
dc.description.urihttps://doi.org/10.1002/hbm.25610en_US
dc.language.isoenen_US
dc.publisherWiley-Blackwellen_US
dc.relation.ispartofHuman Brain Mappingen_US
dc.rights© 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.en_US
dc.subjectblood oxygenation level dependent signalen_US
dc.subjectperfusionen_US
dc.subjectresting-state functional magnetic resonance imagingen_US
dc.subjectspatial independent component analysisen_US
dc.subjectstrokeen_US
dc.titleA novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting-state fMRIen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/hbm.25610
dc.identifier.pmid34323339
dc.source.countryUnited States


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