NDLI: Generating structure-function correlations by ICA- based mapping of activation patterns on co-registered fMRI and FA-DTI data

Content Provider	IEEE Xplore Digital Library
Author	Mitra, S. O'Boyle, M. Corona, E. Li, B. Afrin, F. Nutter, B. Baker, M. Pal, R. Ghosh, B. Karp, T.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Texas Tech Univ., Lubbock, TX (Mitra, S.; Corona, E.; Li, B.; Afrin, F.; Nutter, B.; Baker, M.; Pal, R.; Karp, T.)
Abstract	Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) are noninvasive neuroimaging technologies providing functional mapping of stimulus activated voxels and detailed connectivity structures in the brain, which are traditionally based on simplified linear models. Despite the unique functional and structural representations achievable by fMRI and DTI, respectively, both representations still need validations of the assumptions embedded in the analysis of the data. Recent research efforts emphasize either a data driven or a hybrid approach to fMRI data analysis for more robust characterization of the data. Here we propose a methodology for finding relatively quantitative axonal connectivity pathways among distinct functional regions in the brain using appropriate image analysis techniques with the ultimate goal of generating a multidimensional structure-function correlation map. To achieve this goal, in our preliminary studies we have used independent component analysis (ICA) on fMRI data to locate the terminal seed points on axonal pathways segmented from fractional anisotropic (FA) DTI slices. The co-registered fMRI, and FA-DTI data with the corresponding anatomical image were color coded for visualization. A robust segmentation of axonal pathways was obtained by using a nonparametric estimation of Gaussian mixture model based on the transformation and analysis of the D(R) (distortion-rate) curve.
Starting Page	1393
Ending Page	1396
File Size	496681
Page Count	4
File Format	PDF
ISBN	9781424429400
ISSN	10586393
DOI	10.1109/ACSSC.2008.5074648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diffusion tensor imaging Data analysis Robustness Independent component analysis Image segmentation Magnetic resonance imaging Neuroimaging Brain modeling Image color analysis Multidimensional systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Networks and Communications

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