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T1w-Only segmentations

Biomarker

1 paper mentions it4 findings

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Associations

4

NPI

upin silico1

1 study

  1. T1w-Only segmentations are associated with NPI in silico (r = .290, p < .001).

    “NPI (ADNI1: r = .290, p < .001, ADNI2/GO: r = 0.144, p < .001), controlling for age.”

    In silicoADNI1 cohort, controlling for age

    Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging

    Human brain mapping

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ADAS13

upin silico1

1 study

  1. T1w-Only segmentations are associated with ADAS13 in silico (r = .227, p < .001).

    “ADAS13 (ADNI1: r = .227, p < .001, ADNI2/GO: r = .190, p < 0.001)”

    In silicoADNI1 cohort, controlling for age

    Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging

    Human brain mapping

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Age

upin silico1

1 study

  1. T1w-Only segmentations are associated with age in silico (r = .391, p < .001).

    “age (ADNI1: r = .391, p < .001, ADNI2/GO: r = .466, p < .001)”

    In silicoADNI1 cohort

    Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging

    Human brain mapping

Manual WMHLs

upin silico1

1 study

  1. T1w-Only segmentations are associated with manual WMHLs in silico (r = .743, p < .001).

    “The WMHLs obtained from T1w-Only segmentations correlated with the manual WMHLs (ADNI1: r = .743, p < .001, ADNI2/GO: r = .904, p < .001)”

    In silicoADNI1 cohort

    Validation of T1w-based segmentations of white matter hyperintensity volumes in large-scale datasets of aging

    Human brain mapping

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