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

J. Steffener, G. Lange, B. M. Bly, B. Biswal, S. Reisman

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)75-76
Number of pages2
JournalProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
StatePublished - 2003
Externally publishedYes
EventProceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States
Duration: Mar 22 2003Mar 23 2003

All Science Journal Classification (ASJC) codes

  • General Chemical Engineering
  • Bioengineering


  • Adaptive filters
  • Normalized least means squares
  • fMRI


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