Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes.
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Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes. / Lehmbeck, Jan; Brassen, Stefanie; Weber-Fahr, Wolfgang; Braus, Dieter F.
in: NEUROREPORT, Jahrgang 17, Nr. 5, 5, 2006, S. 467-470.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes.
AU - Lehmbeck, Jan
AU - Brassen, Stefanie
AU - Weber-Fahr, Wolfgang
AU - Braus, Dieter F
PY - 2006
Y1 - 2006
N2 - The present study combined optimized voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes. We compared grey matter density maps (grey matter voxel-based morphometry) and white matter fractional anisotropy maps (diffusion tensor imaging-voxel-based morphometry) between two groups of 17 younger and 17 older women. Older women exhibited reduced white matter fractional anisotropy as well as decreased grey matter density most prominently in the frontal, limbic, parietal and temporal lobes. A discriminant analysis identified four frontal and limbic grey and white matter areas that separated the two groups most effectively. We conclude that grey matter voxel-based morphometry and diffusion tensor imaging voxel-based morphometry are well suited for the detection of age-related changes and their combination provides high accuracy when detecting the neural correlates of aging.
AB - The present study combined optimized voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes. We compared grey matter density maps (grey matter voxel-based morphometry) and white matter fractional anisotropy maps (diffusion tensor imaging-voxel-based morphometry) between two groups of 17 younger and 17 older women. Older women exhibited reduced white matter fractional anisotropy as well as decreased grey matter density most prominently in the frontal, limbic, parietal and temporal lobes. A discriminant analysis identified four frontal and limbic grey and white matter areas that separated the two groups most effectively. We conclude that grey matter voxel-based morphometry and diffusion tensor imaging voxel-based morphometry are well suited for the detection of age-related changes and their combination provides high accuracy when detecting the neural correlates of aging.
M3 - SCORING: Zeitschriftenaufsatz
VL - 17
SP - 467
EP - 470
JO - NEUROREPORT
JF - NEUROREPORT
SN - 0959-4965
IS - 5
M1 - 5
ER -
