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

Hu, J., Kirilina, E., Nierhaus, T., Ovadia‐Caro, S., Livne, M., Villringer, K., et al. (2021). A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting‐state fMRI. Human Brain Mapping. doi:10.1002/hbm.25610.

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 Creators:
Hu, Jiun‐Yiing1, Author
Kirilina, Evgeniya2, 3, Author              
Nierhaus, Till3, 4, Author              
Ovadia‐Caro, Smadar5, Author
Livne, Michelle6, Author
Villringer, Kersten6, Author
Margulies, Daniel7, Author
Fiebach, Jochen B.6, Author
Villringer, Arno4, 8, Author              
Khalil, Ahmed4, 6, 8, 9, Author              
Affiliations:
1Department of Internal Medicine, University of Maryland School of Medicine, Baltimore, MD, USA, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Neurocomputation and Neuroimaging Unit, Department of Education and Psychology, FU Berlin, Germany, ou_persistent22              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
5Department of Cognitive Sciences, University of Haifa, Israel, ou_persistent22              
6Center for Stroke Research, Charité University Medicine Berlin, Germany, ou_persistent22              
7Institut du Cerveau et de la Moelle épinière (ICM), Université Paris-Sorbonne, France, ou_persistent22              
8Berlin School of Mind and Brain, Humboldt University Berlin, Germany, ou_persistent22              
9Berlin Institute of Health (BIH), Germany, ou_persistent22              

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Free keywords: Blood oxygenation level dependent signal; Perfusion; Resting-state functional magnetic resonance imaging; Spatial independent component analysis; Stroke
 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.

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Language(s): eng - English
 Dates: 2021-07-29
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/hbm.25610
Other: online ahead of print
PMID: 34323339
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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686