Using an adaptive filter to extract the hemodynamic response from fMRI data
Document Type
Conference Proceeding
Publication Date
1-1-2003
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.
Identifier
84943391658 (Scopus)
Publication Title
Proceedings of the IEEE Annual Northeast Bioengineering Conference Nebec
e-ISSN
21607001
ISSN
1071121X
First Page
75
Last Page
76
Recommended Citation
Steffener, J.; Lange, G.; Bly, B. M.; Biswal, B.; and Reisman, S., "Using an adaptive filter to extract the hemodynamic response from fMRI data" (2003). Faculty Publications. 14430.
https://digitalcommons.njit.edu/fac_pubs/14430
