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Abstract #3168

Per voxel hemodynamic response estimation by sinusoid tracking

Christine Sze Wan Law1, Dario Pfyffer1, Merve Kaptan1, Ken Weber1, Sean Mackey1, and Gary Glover1
1Stanford University, Stanford, CA, United States

Synopsis

Keywords: fMRI Analysis, fMRI (task based), hemodynamic response function, activation

Motivation: Sinusoid tracking has several important advantages over DFT to detect hemodynamic response (HRF). We propose only per voxel HRF estimation to detect activation. GLM globally assumes identical HRF over all voxels to detect activation. While the general contour of HRF is widely accepted, little is known about its variability in different brain regions.

Goal(s): Determine activation and HRF across whole brain simultaneously.

Approach: A periodic impulsive stimulus generates BOLD response. Sinusoid tracking returns seven-harmonic parameters required from BOLD signal.

Results: HRF is reconstructed from these harmonics, and ratios of harmonic amplitudes define activation.

Impact: A custom sinusoid tracking method, which (unlike windowed DFT) imposes no restriction on sample rate, stimulus task frequency, and record length, can detect hemodynamic response function and fMRI activation simultaneously per voxel across the whole brain.

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Keywords