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Estimation of voxel-wise dynamic cerebrovascular reactivity curves from resting-state fMRI data

Prokopiou, Prokopis C., Murphy, Kevin, Wise, Richard G. and Mitsis, Georgios D. 2016. Estimation of voxel-wise dynamic cerebrovascular reactivity curves from resting-state fMRI data. Presented at: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 16-20 August 2016. Published in: Patton, J., Barbieri, R., Ji, J., Jabbari, E., Dokos, S., Mukkamala, R., Jovanov, E., Dhaher, Y., Panescu, D., van Gils, M., Wheeler, B. and Dhawan, A. P. eds. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016): Proceedings of a meeting held 16-20 August 2016, Orlando, Florida, USA. Piscataway, NJ: IEEE, pp. 1143-1146. 10.1109/EMBC.2016.7590906

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Abstract

In this work, we investigate the linear dynamic interactions between fluctuations in arterial CO2 that occur during normal breathing, and the BOLD fMRI signal. We cast this problem within a systems-theoretic framework, where we employ functional expansions for the estimation of the impulse responses in large regions of interest, as well as in individual voxels. We also implement classification schemes in order to identify different brain regions with similar cerebrovascular reactivity characteristics. Our results reveal that it is feasible to obtain reliable estimates of cerebrovascular reactivity curves from resting-state data and that these curves exhibit considerable variability across different brain regions that may be related to the underlying anatomy.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Psychology
Physics and Astronomy
Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher: IEEE
ISBN: 9781457702204
ISSN: 1558-4615
Date of Acceptance: 22 April 2016
Last Modified: 28 May 2019 00:10
URI: http://orca.cf.ac.uk/id/eprint/102905

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