NDLI: Morphometric Analysis of Hippocampal Shape in Mild Cognitive Impairment: An Imaging Genetics Study

Content Provider	IEEE Xplore Digital Library
Author	Li Shen Saykin, A.J. Chung, M.K. Heng Huang
Copyright Year	2007
Description	Author affiliation: Indiana Univ., Indianapolis (Li Shen; Saykin, A.J.)
Abstract	A computational framework is presented for surface based morphometry to localize shape changes between groups of 3D objects. It employs the spherical harmonic (SPHARM) method for surface modeling and random field theory (RFT) for statistical inference. Several new components are introduced to overcome previous limitations: (1) a general linear model is used to facilitate controlling for covariates; (2) a new SPHARM registration method SHREC is proposed to better align SPHARM models; and (3) an estimated smoothness is used in RFT-based analysis to obtain more accurate results. This framework is applied in a mild cognitive impairment (MCI) study to examine hippocampal shape changes related to diagnostic and genetic conditions. Several interesting findings from our analyses suggest combining imaging phenotypes and genetic profiles has the potential to elucidate biological pathways for better understanding MCI and Alzheimer's disease.
Starting Page	211
Ending Page	217
File Size	8600283
Page Count	7
File Format	PDF
ISBN	9781424415090
DOI	10.1109/BIBE.2007.4375567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Shape Genetics Surface morphology Neuroimaging Biomedical imaging Alzheimer's disease Radiology Biomedical informatics Computer science
Content Type	Text
Resource Type	Article

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