Fast and precise independent component analysis for high field fMRI time series tailored using prior information on spatiotemporal structure.

Abstract:

:Independent component analysis (ICA) has been shown as a promising tool for the analysis of functional magnetic resonance imaging (fMRI) time series. Each of these studies, however, used a general-purpose algorithm for performing ICA and the computational efficiency and accuracy of elicited neuronal activations have not been discussed in much detail. We have previously proposed a direct search method for improving computational efficiency. The method, which is based on independent component-cross correlation-sequential epoch (ICS) analysis, utilizes a form of the fixed-point ICA algorithm and considerably reduces the time required for extracting desired components. At the same time, it is shown that the accuracy of detecting physiologically meaningful components is much improved by tailoring the contrast function used in the algorithm. In this study, further improvement was made to this direct search method by integrating an optimal contrast function. Functional resolution of activation maps could be controlled with a suitable selection of the contrast function derived from prior knowledge of the spatial patterns of physiologically desired components. A simple skewness-weighted contrast function was verified to extract sufficiently precise activation maps from the fMRI time series acquired using a 3.0 Tesla MRI system.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Suzuki K,Kiryu T,Nakada T

doi

10.1002/hbm.1061

keywords:

subject

Has Abstract

pub_date

2002-01-01 00:00:00

pages

54-66

issue

1

eissn

1065-9471

issn

1097-0193

pii

10.1002/hbm.1061

journal_volume

15

pub_type

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