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Using an adaptive filter to extract the hemodynamic response from fMRI data

by: J. Steffener, G. Lange, B. M. Bly, B. Biswal, S. Reisman
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of In Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of (March 2003), pp. 75-76, doi:10.1109/nebc.2003.1215999  Key: citeulike:589004

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Abstract

The Hemodynamic Response Function (HRF) is the impulse response of the blood oxygen level dependent (BOLD) signal in the brain. The BOLD signal is what functional magnetic resonance imaging (fMRI) is sensitive to; therefore, an estimate of the HRF provides valuable information about the underlying function of the brain. The normalized least mean squares adaptive filter estimates the HRF and extracts its shape for every spatial point (voxel) in a time series of fMRI data.


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