TY - JOUR
T1 - A Gaussian mixture model approach for estimating and comparing the shapes of distributions of neuroimaging data
T2 - Diffusion-measured aging effects in brain white matter
AU - Kim, Namhee
AU - Heo, Moonseong
AU - Fleysher, Roman
AU - Branch, Craig A.
AU - Lipton, Michael L.
N1 - Publisher Copyright:
© 2014 Kim, Heo, Fleysher , Branch and Lipton.
PY - 2014/4/14
Y1 - 2014/4/14
N2 - Neuroimaging signal intensity measures underlying physiology at each voxel unit.The brainwide 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 compares group means and fails to consider the shapes of the distributions.We propose a simple approach for estimating both subject- and group-level density functions based on the framework of Gaussian mixture modeling, with mixture probabilities that are testable between groups.We demonstrate this approach by application to the analysis of fractional anisotropy image data for assessment of aging effects in white matter.
AB - Neuroimaging signal intensity measures underlying physiology at each voxel unit.The brainwide 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 compares group means and fails to consider the shapes of the distributions.We propose a simple approach for estimating both subject- and group-level density functions based on the framework of Gaussian mixture modeling, with mixture probabilities that are testable between groups.We demonstrate this approach by application to the analysis of fractional anisotropy image data for assessment of aging effects in white matter.
KW - Aging effects
KW - Density function estimation
KW - Diffusion tensor imaging
KW - Fractional anisotropy
KW - Gaussian mixture model
UR - http://www.scopus.com/inward/record.url?scp=85019179662&partnerID=8YFLogxK
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U2 - 10.3389/fpubh.2014.00032
DO - 10.3389/fpubh.2014.00032
M3 - Article
AN - SCOPUS:85019179662
SN - 2296-2565
VL - 2
JO - Frontiers in Public Health
JF - Frontiers in Public Health
IS - APR
M1 - 32
ER -