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Abstract #1302

Cerebral perfusion network analysis to understand cognition in old age: a principal component analysis of ASL-MRI

Jodi Karlyn Watt1,2,3, Stefan Pszczolkowski1,2,3, Yue Xing1,2,3, Christopher Tench1,2,3, Dorothee Auer1,2,3, and Alzheimer's Disease Neuroimaging Initiative4
1Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 3NIHR Nottingham Biomedical Research Centre, University of Nottingham, Nottingham, United Kingdom, 4Alzheimer's Disease Neuroimaging Initiative, Los Angeles, CA, United States

A functional biomarker of age-related cognitive decline is yet to be elucidated but would be desirable to better understand detrimental and protective processes in order to promote cognitive health for the elderly. Challenges arise from multiple sources of variance across individuals and within brain perfusion maps with an unknown link between local or network function and clinical tests of global cognition. Principal Component Analysis provides the opportunity to address some of these knowledge gaps, by defining this relationship and relating this to underlying anatomical regions.

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