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A new statistical approach to detecting significant activation in functional MRI.

Abstract:

There are many ways to detect activation patterns in a time series of observations at a single voxel in a functional magnetic resonance imaging study. The critical problem is to estimate the statistical significance, which depends on the estimation of both the magnitude of the response to the stimulus and the serial dependence of the time series and especially on the assumptions made in that estimation. We show that for experimental designs with periodic stimuli, only a few aspects of the ser...

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Publication status:
Published

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Publisher copy:
10.1006/nimg.2000.0628

Authors


Marchini, JL More by this author
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Institution:
University of Oxford
Department:
Oxford, MPLS, Statistics
Journal:
NeuroImage
Volume:
12
Issue:
4
Pages:
366-380
Publication date:
2000-10-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:bbfd263e-d549-41d5-b8e3-422e364f73e1
Source identifiers:
97432
Local pid:
pubs:97432

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