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Abstract #2343

Early detection of Alzheimer's Disease using a combined index of gray matter texture

Subin Lee1, Hyunna Lee2, Heesoog Kim1, and Ki Woong Kim1,3,4

1Brain & Cognitive Sciences, Seoul National University, Seoul, Korea, Republic of, 2Asan Medical Center, Seoul, Korea, Republic of, 3Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seoul, Korea, Republic of, 4College of Medicine, Seoul National University, Seoul, Korea, Republic of

Development of sensitive markers that can detect Alzheimer’s Disease at its pre-dementia stages is of critical importance. We hypothesized that altered cytoarchitecture caused by AD pathology would lead to a subtle altered pattern of voxel intensities on MRI which could be detected by texture analysis. In a training set of 111 AD and 141 normal controls, we extracted a set of texture features from core regions affected by pathology – precuneus, posterior cingulate cortex, hippocampus – that could efficiently discriminate between the two groups(AUC=0.875, p<0.001) as well as predict MCI/AD conversion from the normal stage (AUC=0.716, p=0.031).

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