Analysis of fMRI Data by Blind Separation into Independent Spatial Components

Mckeown, Martin J.; Makeig, Scott; Brown, Greg G.; Jung, Tzyy-ping; Kindermann, Sandra S.; Bell, Anthony J.; Sejnowski, Terrence J.

Analysis of fMRI Data by Blind Separation into Independent Spatial Components

Active / Technical Report | Accession Number: ADA460194 |

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Abstract:

Current analytical techniques applied to functional magnetic resonance imaging fMRI data require a priori knowledge or specific assumptions about the time courses of processes contributing to the measured brain electrical signals. Here we describe a new method for analyzing fMRI data based on the independent component analysis ICA algorithm of Bell and Sejnowski. We decomposed eight fMRI data sets from 4 normal subjects performing various cognitive tasks. By utilizing higher-order statistics to enforce successively stricter criteria for spatial independence between component maps, both the ICA algorithm and related fourth-order decomposition technique were superior to principal component analysis PCA in determining the spatial and temporal extent of task-related activation. ICA appears to be a highly promising method for the analysis of fMRI data from normal and clinical populations.

Author(s):

Mckeown, Martin J. ; Makeig, Scott ; Brown, Greg G. ; Jung, Tzyy-ping ; Kindermann, Sandra S. ; Bell, Anthony J. ; Sejnowski, Terrence J.

Author Organization(s):

NAVAL HEALTH RESEARCH CENTER SAN DIEGO CA

Descriptive Note:

Journal article

Supplementary Note:

Published in Human Brain Mapping, v6 p160-188, 1998. Prepared in collaboration with Howard Hughes Medical Institute, La Jolla, CA, and the University of California, La Jolla, CA. Sponsored in part by Office of Naval Research (ONR).

Pagination:

0031

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:

Approved For Public Release

Distribution Statement:

Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR

Identifying Numbers

Report Number(s):

NHRC-REPT-97-42

Monitor Series:

NMRDC

Subject Terms

Joint Capability Areas:

JCA_5_Command and Control; JCA_5.3_Planning; JCA_6_Net Centric; JCA_5.5.2_Task; JCA_5.5_Direct; JCA_8_Building Partnerships

Communities of Interest:

Biomedical

Descriptor(s):

*SPATIAL DISTRIBUTION, *BRAIN, *MAGNETIC RESONANCE IMAGING, ALGORITHMS, ORDER STATISTICS, NUMERICAL ANALYSIS, REPRINTS

Field(s)/Group(s):

Medicine and Medical Research, Numerical Mathematics

Keyword(s):

*FMRI(FUNCTIONAL MAGNETIC RESONANCE IMAGING), *BLIND SEPARATION, *ICA(INDEPENDENT COMPONENT ANALYSIS), HIGHER ORDER STATISTICS, 6429

Report Date:

1997 Jun 01

Creation Date:

2007 Jan 31