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Abstract #5336

A New Method of HRF Estimation Containing High Frequency Content

Xiaowei Zhuang1, Zhengshi Yang1, Virendra Mishra1, Karthik Sreenivasan1, and Dietmar Cordes1,2

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States, 2University of Colorado Boulder, Boulder, CO, United States

A new HRF estimation method was introduced to improve the accuracy in recovering HRFs with wider frequency range. This non-smooth optimization problem was solved via BFGS technique. Results from simulated data demonstrate the accuracy and reliability of this new method in recovering HRF. Results from an event-related fMRI dataset further demonstrate the ability of the proposed method in capturing the variation of HRFs across different brain regions and subject populations.

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