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Abstract #2099

Correction of Hemodynamic Latency Based on Breath Holding Improves Granger Causality Obtained from FMRI Data

Zhihao Li1, Behnaz Yousefi1, Gopikrishna Deshpande2, 3, Xiaoping Hu1

1Biomedical Engineering, Emory University & Georgia Institute of Technology, Atlanta, GA, United States; 2Electrical and Computer Engineering, Auburn University, Auburn, AL, United States; 3Psychology, Auburn University, Auburn, AL, United States

Granger causality analysis of fMRI data suffers from spatial variability of the hemodynamic response. The present study attempted to correct this variance by signal latency values derived from breath holding. With fMRI data acquired during face perception, our correction showed improved effective connectivity from the primary visual cortex to the fusiform face area. The present results demonstrated the utility of breath holding based signal latency correction for Granger causality analysis.