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IC‐P‐166: Distribution of tau pathology in patients with mild cognitive impairment and Alzheimer's disease measured with [ 18 F]THK‐5351 PET
Author(s) -
Okamura Nobuyuki,
Furumoto Shozo,
Furukawa Katsutoshi,
Ishiki Aiko,
Tomita Naoki,
Harada Ryuichi,
Tashiro Manabu,
Yanai Kazuhiko,
Arai Hiroyuki,
Kudo Yukitsuka
Publication year - 2015
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2015.06.189
Subject(s) - white matter , cerebellar cortex , pathology , cerebral cortex , chemistry , temporal cortex , brainstem , nuclear medicine , cerebellum , medicine , psychology , neuroscience , magnetic resonance imaging , radiology
approaches. Effect size (Cohen’s D) for distinguishing cohorts was generally greater for extent than intensity metrics (e.g., w2.5 for extent metrics andw1.8 for intensity for distinguishing impairment). Asymmetry of tracer distribution (left> right) was common andmore pronounced in MCI than in AD. MUBADA identified 2 dimensions, with the first of these characterized by increased retention in posterior neocortex (accounting for > 95% of the variance in regional SUVr pattern) and differentiated Ab+ MCI and AD relative to all other groups. Conclusions:Regional and composite analyses were effective in discriminating cohorts divided by cognitive impairment severity and amyloid positivity. Voxel-based analyses appeared to provide further sensitivity to patterns of laterality and extent of involvement. Future studies will evaluate which methods are most sensitive to change over time.