A Gaussian mixture model approach for estimating and comparing the shapes of distributions of neuroimaging data: diffusion-measured aging effects in brain white matter

A Gaussian mixture model approach for estimating and comparing the shapes of distributions of neuroimaging data: diffusion-measured aging effects in brain white matter

Neuroimaging signal intensity measures underlying physiology at each voxel unit. The brain-wide distribution of signal intensities may be used to assess gross brain abnormality. To compare distributions of brain image data between groups, t-tests are widely applied. This approach, however, only comp...

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Bibliographic Details
Main Authors: Namhee eKim, Moonseong eHeo, Roman eFleysher, Craig A Branch, Michael L. Lipton
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-04-01
Series:Frontiers in Public Health
Subjects:
Diffusion Tensor Imaging
fractional anisotropy
Gaussian mixture model
density function estimation
aging effects
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpubh.2014.00032/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpubh.2014.00032/full

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