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Abstract #4675

Diffusion-Cognitive Correlates of Cortical Cholinergic Pathways Denervation for Early Detection of Alzheimer's disease

Pohchoo Seow1, Septian Hartono2, Dennis Chuen Chai Seow3, Simon Kang Seng Ting2, Weiling Lee4, Wei Shan Li2, Kok Pin Ng2, Pik Hsien Chai4, Wilson Jia Wei Wong4, Shi Ni Phua5, Jia Shuen Yee5, Yar Ting Lim5, Yao Chia Shih6, and Ling Ling Chan7
1Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 2Department of Neurology, National Neuroscience Institute, Singapore, Singapore, 3Department of Geriatric Medicine, Singapore General Hospital, Singapore, Singapore, 4Radiography Department, Singapore General Hospital, Singapore, Singapore, 5Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore, 6Graduate Institute of Medicine, Yuan-Ze University, Taoyuan, Taiwan, 7Department of Neuroradiology, Singapore General Hospital, Singapore, Singapore

Synopsis

Keywords: DWI/DTI/DKI, Diffusion Analysis and Visualization

Motivation: Denervation of nucleus basalis of Meynert (NBM) tracts may capture cognitive impairment that precedes grey matter loss in Alzheimer’s disease(AD).

Goal(s): To map the cholinergic pathways and establish diffusion-cognition correlates for early detection of AD.

Approach: We mapped the NBM-cholinergic pathways exhibiting significant correlations with cognitive assessment in 11 early-dementia(ED) patients, 22 mild cognitive impairment(MCI) and 22 healthy controls(HC) using correlational tractography.

Results: Quantitative anisotropy(QA) and restricted diffusion imaging(RDI) demonstrated significant correlations with cognitive assessment(MOCA) in the NBM-cholinergic pathways of all cohorts. Significantly reduced QA and RDI with MOCA were seen in ED but did not significantly differ between MCI and HC.

Impact: The findings establish biological correlates to cognitive manifestation as objective biomarkers for early detection of AD by mapping the NBM-cholinergic tracts with strongest correlation. The surrogate markers aid development of modifying therapies, and potentially discriminate MCI subgroups for personalized management.

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Keywords