Abstract #0760

Detection and modeling of 0.75 Hz neural oscillations using rapid fMRI at 7 Tesla

Laura Lewis^1,2, Kawin Setsompop^2,3, Bruce R Rosen^2,3, and Jonathan R Polimeni^2,3

¹Society of Fellows, Harvard University, Cambridge, MA, United States, ²Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, ³Department of Radiology, Harvard Medical School, Boston, MA, United States

Recent work has suggested that fMRI can detect neural activity on faster timescales than previously thought. We tested the temporal limits of fMRI using oscillating visual stimuli to generate an oscillatory neural response in human visual cortex. Using rapid (TR=227 ms) fMRI acquisition at 7 Tesla, we were able to detect 0.75 Hz oscillations in visual cortex that were an order of magnitude larger than predicted by canonical linear models. Using the balloon/Windkessel model we show that continuous and rapidly varying neural activity can generate larger fMRI signals than expected. We conclude that fMRI can be used to measure oscillations of up to at least 0.75 Hz, and suggest alterations to hemodynamic response models for experiments studying continuous and rapidly varying neural activity.

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