Open AccessPredicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy
Author(s) -
Lee Sang Han,
Bachman Alvin H.,
Yu Donghyeon,
Lim Johan,
Ardekani Babak A.
Publication year - 2016
Publication title -
alzheimer's and dementia: diagnosis, assessment and disease monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.497
H-Index - 37
ISSN - 2352-8729
DOI - 10.1016/j.dadm.2016.01.003
Subject(s) - splenium , corpus callosum , atrophy , neuroimaging , logistic regression , longitudinal study , cognitive impairment , medicine , magnetic resonance imaging , dementia , audiology , alzheimer's disease , psychology , disease , neuroscience , pathology , diffusion mri , radiology
We investigate whether longitudinal callosal atrophy could predict conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD). Methods Longitudinal (baseline + 1‐year follow‐up) MRI scans of 132 MCI subjects from the Alzheimer's Disease Neuroimaging Initiative were used. A total of 54 subjects did not convert to AD over an average (±SD) follow‐up of 5.46 (±1.63) years, whereas 78 converted to AD with an average conversion time of 2.56 (±1.65) years. Annual change in the corpus callosum thickness profile was calculated from the baseline and 1‐year follow‐up MRI. A logistic regression model with fused lasso regularization for prediction was applied to the annual changes. Results We found a sex difference. The accuracy of prediction was 84% in females and 61% in males. The discriminating regions of corpus callosum differed between sexes. In females, the genu, rostrum, and posterior body had predictive power, whereas the genu and splenium were relevant in males. Discussion Annual callosal atrophy predicts MCI‐to‐AD conversion in females more accurately than in males.