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

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

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 journal › Conference article › peer-review

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.

Original language	English (US)
Pages (from-to)	75-76
Number of pages	2
Journal	Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
State	Published - 2003
Externally published	Yes
Event	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: Mar 22 2003 → Mar 23 2003

All Science Journal Classification (ASJC) codes

General Chemical Engineering
Bioengineering

Keywords

Adaptive filters
Normalized least means squares
fMRI

Cite this

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title = "Using an adaptive filter to extract the hemodynamic response from fMRI data",

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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year = "2003",

language = "English (US)",

pages = "75--76",

journal = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",

issn = "1071-121X",

note = "Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference ; Conference date: 22-03-2003 Through 23-03-2003",

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T1 - Using an adaptive filter to extract the hemodynamic response from fMRI data

AU - Steffener, J.

AU - Lange, G.

AU - Bly, B. M.

AU - Biswal, B.

AU - Reisman, S.

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

KW - Adaptive filters

KW - Normalized least means squares

KW - fMRI

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M3 - Conference article

AN - SCOPUS:84943391658

SN - 1071-121X

SP - 75

EP - 76

JO - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

JF - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

T2 - Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference

Y2 - 22 March 2003 through 23 March 2003

ER -

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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