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  Perfusion maps based on temporal blood-oxygen-level-dependent signal delays are driven by alterations in low frequency oscillations between 0.01 and 0.1 Hz

Khalil, A., Kirilina, E., Villringer, K., Fiebach, J., & Villringer, A. (2017). Perfusion maps based on temporal blood-oxygen-level-dependent signal delays are driven by alterations in low frequency oscillations between 0.01 and 0.1 Hz. Journal of Cerebral Blood Flow and Metabolism, 37(Suppl. 1): PS02-001, 169-170. doi:10.1177/0271678X17695989.

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Khalil, A.1, Author
Kirilina, Evgeniya1, Author              
Villringer, K.1, Author
Fiebach, J.1, Author
Villringer, Arno2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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 Abstract: Objectives: Assessing brain perfusion without the need for intravenous contrast agents can be achieved by examining the temporal properties of the blood-oxygen-level-dependent (BOLD) signal [1]. We investigated the characteristics of these perfusion-related BOLD signal changes in stroke patients. Methods: Six patients with acute ischemic stroke received a multiband echo planar imaging sequence (repetition time = 0.4 s, echo time = 30 ms, acquisition time = 340 s, flip angle = 43, sensitive to the BOLD signal) and a standard stroke MRI protocol within 24 hours of symptom onset. The BOLD data underwent spatial independent component analysis (sICA [2]) and time shift analysis (voxelwise cross-correlation with global signal [1]) after bandpass filtering to the following frequencies: low-frequency oscillations (LFOs, 0.01–0.1 Hz), respiration (0.2–0.5 Hz), and cardiac (0.5–1.2 Hz). Bolus-tracking MRI data (time-to-maximum of contrast concentration-time curve, Tmax) are shown for comparison. Results: Hypoperfusion components from sICA were visually identified based on comparison to Tmax maps. These results, along with the time shift analysis maps, are shown for a representative patient in the figure. The spatial distributions of the power in the different frequency bands are also shown [3]. Hypoperfusion showed predominantly slow (<0.05 Hz) BOLD signal oscillations and was not identified using sICA or time shift analysis in the respiratory or cardiac frequency bands in any of the patients.

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Language(s): eng - English
 Dates: 2017-04-01
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1177/0271678X17695989
PMID: 28366134
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Title: Journal of Cerebral Blood Flow and Metabolism
Source Genre: Journal
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Publ. Info: New York : Lippincott Williams & Wilkins
Pages: - Volume / Issue: 37 (Suppl. 1) Sequence Number: PS02-001 Start / End Page: 169 - 170 Identifier: ISSN: 0271-678X
CoNE: https://pure.mpg.de/cone/journals/resource/954925503202