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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 Hilal2,3, Mohammad Kamran Ikram3,4, Xin Xu2,3, Boon Yeow Tan5, Narayanaswamy Venketasubramanian6, Christopher Li-Hsian Chen2,3, and Juan Zhou1,7

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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