NDLI: FMRI activation detection using a variant of Akaike information criterion

Content Provider	IEEE Xplore Digital Library
Author	Seghouane, A.-K.
Copyright Year	2012
Description	Author affiliation: National ICT Australia, Canberra Research Laboratory, The Australian National University, College of Engineering and Computer Science, Canberra, Australia (Seghouane, A.-K.)
Abstract	A fundamental question in functional MRI (fMRI) data analysis is to declare pixels either activated or non-activated with respect to the experimental design. A new statistical test for detecting activated pixels in fMRI data is proposed. The test is based on comparing the dimension of the parametric models fitted to the voxels fMRI time series data with and without controlled activation-baseline pattern. A corrected variant of the Akaike information criterion, is used for this comparison. This test has the advantage of not requiring any user-specified threshold to be estimated. The effectiveness of the proposed fMRI activation detection method is illustrated on real experimental data.
Starting Page	233
Ending Page	236
File Size	339810
Page Count	4
File Format	PDF
ISBN	9781467301824
e-ISBN	9781467301817
DOI	10.1109/SSP.2012.6319669
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Magnetic resonance imaging Time series analysis Analytical models Linear regression Humans Blood corrected Akaike information criterion Functional MRI Activation Detection
Content Type	Text
Resource Type	Article

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