Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy. Issue 1 (8th March 2016)

• Record Type: Journal Article
• Authors: Lee, Sang Han; Bachman, Alvin H.; Yu, Donghyeon; Lim, Johan; Ardekani, Babak A.
• Is Part Of: Alzheimer's & dementia. Volume 2:Issue 1(2016)
• Page Start: 68
• Page End: 74
• Publication Date: 2016-03-08
• Subjects: Alzheimer's disease -- Mild cognitive impairment -- Brain -- Corpus callosum -- Magnetic resonance imaging -- Shape analysis -- Longitudinal analysis; Alzheimer's disease -- Periodicals; Alzheimer's disease -- Diagnosis -- Periodicals; Dementia -- Periodicals; Dementia -- Diagnosis -- Periodicals; 616.831
• DOI: 10.1016/j.dadm.2016.01.003
• Languages: English
• ISSNs: 2352-8729

Abstract

Abstract: Introduction: 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.