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Region-specific changes of cerebral white matter during normal aging: A diffusion-tensor analysis

    • The Catholic University of Korea

    Research output: Contribution to journalArticlepeer-review

    66 Scopus citations

    Abstract

    With aging, the human brain tissue undergoes degeneration and a decline in cognitive function. Diffusion tensor imaging (DTI) is a sensitive method for detecting microstructural changes of the brain white matter (WM). We examined the age-dependent, region-specific, changing patterns in microstructures of the brain. This was preformed by DTI analysis of 58 healthy volunteers from Korea. The fractional anisotropy (FA) and apparent diffusion coefficient (ADC) were measured for each region of interest (ROI) in 22 areas. The FA and ADC values of all 22 ROIs were, respectively, compared among the age groups, by linear regression analysis and analysis of variance. With aging, the ADC values tended to increase and the FA values tended to decrease. Patterns of regional changes of the FA were divided into three subgroups. The cingulum was affected earliest with aging and the age-related WM changes show an anterior to posterior gradient acceleration throughout the decades tested. This study suggests that DTI is sensitive enough a diagnostic tool to detect subtle microstructural changes. These results show that the WM has a region-specific vulnerability to the aging process.

    Original languageEnglish
    Pages (from-to)129-138
    Number of pages10
    JournalArchives of Gerontology and Geriatrics
    Volume47
    Issue number1
    DOIs
    StatePublished - Jul 2008

    Bibliographical note

    Funding Information:
    This study was supported by a grant from the Korea Health 21 R&D Project, Ministry of Health & Welfare, and the Republic of Korea (A050079).

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Cingulum
    • Diffusion tensor analysis
    • Magnetic resonance imaging
    • Normal aging
    • White matter of the brain

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