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Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging.

Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Research Abstract Details 

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  • Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Abstract Text:

    p kochunovP Kochunov,p m thompsonP M Thompson,j l lancasterJ L Lancaster,g bartzokisG Bartzokis,s smithS Smith,t coyleT Coyle,d r royallD R Royall,a lairdA Laird,p t foxP T Fox,

    White matter (WM) fractional anisotropy (FA) is thought to be related to WM integrity and decline in FA is often used as an index of decreasing WM health. However, the relationship of FA to other structural indices of cerebral health has not been well studied. We hypothesized that the decline in WM health will be associated with changes in several other indices of cerebral health. In this manuscript we studied the correlation between whole-brain/hemispheric/corpus callosum FA and gray matter (GM) thickness, sulcal span, and the volume of T2-hyperintense WM in a group of 31 healthy aging individuals (12 males/19 females) aged 57-82 years old. Individual subjects' FA measures were calculated from diffusion tracing imaging (DTI) data using tract-based spatial statistics--an approach specifically designed and validated for voxel-wise multi-subject FA analysis. Age-controlled correlation analysis showed that whole-brain average FA values were significantly and positively correlated with the subject's average GM thickness and negatively correlated with hyperintense WM volume. Intra-hemispheric correlations between FA and other measures of cerebral health had generally greater effect sizes than inter-hemispheric correction, with correlation between left FA and left GM thickness being the most significant (r=0.6, p<0.01). Regional analysis of FA values showed that late-myelinating fiber tracts of the genu of corpus callosum had higher association with other cerebral health indices. These data are consistent with the hypothesis that late-myelinating regions of the brain bear the brunt of age-related degenerative changes.

    Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Publishing Authors By Initials

    p kochunovP Kochunov,pm thompsonPM Thompson,jl lancasterJL Lancaster,g bartzokisG Bartzokis,s smithS Smith,t coyleT Coyle,dr royallDR Royall,a lairdA Laird,pt foxPT Fox,

    For similar persons: age groups: adult: middle aged research abstracts see: persons: age groups: adult: middle aged research

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    Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Journal Published:

    PUBLICATION TYPE: Research Support, N.I.H., Extr

    Journal: NeuroImage

    VOLUME: 35

    Page Numbers: 478-87

    Journal Abbreviation: Neuroimage

    ISSN: 1053-8119

    DAY: 23

    MONTH: 12

    YEAR: 2006

    Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9215515

    Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. Keywords Mesh Terms:

    KEYWORDS: Middle Aged

    MESH TERMS: statistics & numerical data

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    Grant and Affiliation Information for Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging.

    AFFILIATION: Research Imaging Center, University of Texas Health Science Center at San Antonio, Research Imaging Center, 7703 Floyd Curl Drive, San Antonio, TX 78284, USA. kochunov@uthscsa.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NCRR

    GRANT: RR019771

    ACRONYM: RR

    MEDLINETA: Neuroimage

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