Abstract #1267

The Influence of Cerebrovascular Disease on Structural Covariance Networks in Prodromal and Early Stages of Alzheimer’s Disease

Joanna Su Xian Chong¹, Yng Miin Loke¹, Saima Hilal^2,3, Mohammad Kamran Ikram^3,4, Xin Xu^2,3, Boon Yeow Tan⁵, Narayanaswamy Venketasubramanian⁶, Christopher Li-Hsian Chen^2,3, and Juan Zhou^1,7

¹Centre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Programme, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, ²Department of Pharmacology, National University Health System, Clinical Research Centre, Singapore, Singapore, ³Memory Ageing & Cognition Centre, National University Health System, Singapore, Singapore, ⁴Duke-National University of Singapore Graduate Medical School, Singapore, Singapore, ⁵St. Luke's Hospital, Singapore, Singapore, ⁶Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore, ⁷Clinical Imaging Research Centre, The Agency for Science, Technology and Research and National University of Singapore, Singapore, Singapore

Cerebrovascular disease (CVD) frequently co-occurs with Alzheimer’s disease (AD), however its effects on the organization of brain networks in AD patients remain unknown. This study aimed to examine the influence of CVD on grey matter (GM) structural covariance (SC) networks in prodromal and early AD patients. Divergent changes in GM volumes and SC of higher-order networks were found between CVD and non-CVD subtypes. Specifically, the default mode network showed changes in non-CVD subtypes but was spared in CVD subtypes. These findings highlight the different pathophysiology underlying AD patients with CVD and those without CVD.

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