Paper Info
Title
Adaptive spatiotemporal modelling and estimation of the event-related fMRI responses
Abstract
Functional magnetic resonance imaging (fMRI) data analysis is a challenging problem due to the underlying physiological complexity of the brain and the scanning process. From engineering perspective, the fMRI data analysis can be viewed as a system modelling problem. In this paper, assuming the fMRI signal as the output of an unknown linear time-invariant system, a spatiotemporal adaptive filter is proposed to model the spatial activation patterns as well as the haemodynamic response (HDR) to the event-related stimulus. The well-known least mean square adaptive algorithm is used for estimating the coefficients of the spatiotemporal filter. The proposed method is shown to be equivalent to the canonical correlation analysis method. It is then extended to multiple event type scenarios to estimate the HDRs of each event type. Results from simulated as well as real fMRI data show that these adaptive modelling schemes can capture the variations of the HDR at different regions of the brain and hence enhance the estimation accuracy of the activation patterns.
Year
DOI
Venue
2007
10.1016/j.sigpro.2007.05.020
Signal Processing
Keywords
Field
DocType
data analysis,canonical correlation analysis method,real fmri data,activation pattern,adaptive modelling scheme,adaptive spatiotemporal modelling,square adaptive algorithm,fmri data analysis,spatiotemporal adaptive filter,event-related fmri response,challenging problem,fmri signal,receiver operator characteristic,linear time invariant,lms algorithm,least mean square,general linear model,adaptive filter,canonical correlation analysis
Functional magnetic resonance imaging,Linear system,Linear model,Canonical correlation,Algorithm,Functional imaging,Adaptive filter,Adaptive algorithm,Mathematics,Canonical analysis
Journal
Volume
Issue
ISSN
87
11
Signal Processing
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Huaien Luo1484.99
Sadasivan Puthusserypady218127.49