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Abstract #2938

Resting-state co-activation patterns (CAPs) accurately predict pre- and manifest- stage Huntington’s disease in mice.

Mohit H Adhikari1, Tamara Vasilkovska1, Dorian Pustina2, Longbin Liu2, Roger Cachope2, Haiying Tang2, Celia Dominguez2, Ignacio Munoz-Sanjuan2, Annemie Van der Linden1, and Marleen Verhoye1
1Biomedical Sciences, University of Antwerp, Antwerp, Belgium, 2CHDI Foundation, Princeton, NJ, United States

Magnetic Resonance Imaging (MRI) biomarkers hold great potential to become key in understanding Huntington’s Disease (HD) pathophysiology as well as disease progression. We investigated longitudinal changes in spatiotemporal properties of transient brain-wide co-activation patterns (CAPs) during the brain’s resting-state (RS) in a mouse model of HD. We found early differences in the temporal components of two biologically prominent CAPs in the diseased mice and showed, using supervised learning, that spatial features of CAPs accurately distinguish the diseased animals from healthy. Our findings show the promise of RS-CAPs in the development of MRI-based biomarkers of HD.

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