Abstract #1653

Optimization of white matter fMRI analysis using physiologically derived hemodynamic response functions

Matthew J Courtemanche¹, Carolyn J Sparrey², Xiaowei Song³, Alexander MacKay^4,5, and Ryan CN D'Arcy^3,6,7

¹School of Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, Canada, ²School of Mechatronic Systems Engineering, Simon Fraser University, ³Fraser Health Authority, Surrey, BC, Canada, ⁴Department of Physics, The University of British Columbia, Vancouver, BC, Canada, ⁵Department of Radiology, The University of British Columbia, Vancouver, BC, Canada, ⁶School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, ⁷School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada

White matter functional MRI has been successfully demonstrated in studies using high-field scanners and customized sequences. In the current study, we demonstrated that conventional GRE EPI using 3T MRI replicated white matter activation in the corpus callosum at both the group and individual levels (61.5% of individuals). Importantly, hemodynamic response functions (HRF) using delayed-onset improved sensitivity to white matter activation over the canonical HRF developed from gray matter activity. The results suggest that white matter fMRI studies, which are increasingly reported in the literature, benefit significantly from optimization in acquisition and analysis methods.

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