Abstract #2673

Estimating hemodynamic response functions using motor task and resting-state EEG-fMRI data acquired during wakefulness with eyes open

Prokopis C. Prokopiou¹, Alba Xifra-Porxas², Michalis Kassinopoulos², Marie-Helene Boudrias³, and Georgios D. Mitsis⁴

¹Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, ²Graduate Program in Bioengineering and Biomedical Engineering, McGill University, Montreal, QC, Canada, ³School of Physical And Occupational Therapy, McGill University, Montreal, QC, Canada, ⁴Department of Bioengineering, McGill University, Montreal, QC, Canada

In this work, we quantify the fMRI hemodynamic response function (HRF) using task-based (motor) and resting-state EEG-fMRI. We developed a methodology that does not require any assumptions regarding the HRF shape or the relative contribution of different EEG spectral bands to obtain region-specific estimates of the HRF. During the motor task, the EEG β-band was found to have a more pronounced contribution to BOLD variations compared to other bands, and the HRF was mainly negative due to β-band desynchronization and post-movement β-rebound. During resting-state, the contribution of different EEG bands and the HRF estimates varied between subjects, possibly due to low SNR and differences in the subjects’ brain state.

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