NON-UNIFORM SMOOTHING IN HIPPOCAMPUS-SPECIFIC GROUP FMRI ANALYSIS

A framework for generating group-level statistical maps of functional activation in the hippocampus is presented. It aims to maximize the sensitivity and specificity of hippocampal maps by using a deformable model to normalize the hippocampus across subjects and by using a non-uniform smoothing stra...

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Bibliographic Details
Published in2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro pp. 420 - 423
Main Authors Yushkevich, P.A., Detre, J.A., Gee, J.C.
Format Conference Proceeding
LanguageEnglish
Published 01.04.2007
Subjects
Deformable models
Hippocampus
Image analysis
Image segmentation
Kernel
Magnetic resonance imaging
Radiology
Smoothing methods
Solid modeling
Testing
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ISBN1424406714
9781424406715
ISSN1945-7928
DOI10.1109/ISBI.2007.356878

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Summary:A framework for generating group-level statistical maps of functional activation in the hippocampus is presented. It aims to maximize the sensitivity and specificity of hippocampal maps by using a deformable model to normalize the hippocampus across subjects and by using a non-uniform smoothing strategy to reduce the confounding effects of extrahippocampal activation. Results of applying this framework with different smoothing parameters are presented in the context of a visual scene encoding study. The significance reported by the method in the hippocampus at low levels of smoothing is greater than when whole-brain analysis is used, while at higher levels of smoothing, whole-brain analysis detects clusters of equally high significance around the hippocampus, but not directly in the hippocampus.
ISBN:1424406714
9781424406715
ISSN:1945-7928
DOI:10.1109/ISBI.2007.356878