Keywords: Brain Connectivity, Preclinical, Huntington's Disease, dynamic resting-state fMRIDynamic analyses of resting-state (RS) fMRI reveal transient constituents of RS networks such as the quasi-periodic patterns (QPPs), and co-activation patterns (CAPs) that were shown to be sensitive markers of neurodegenerative diseases in rodent models and humans. We investigated the effect of early suppression of mutant huntingtin (mHtt) expression in the LacQ140 mouse model of Huntington’s disease (HD) on QPP and CAP alterations at the manifest state. In both QPPs and CAPs, the observed genotypic changes in local activity were reduced in the mHtt suppressed group. Additionally, a cross-validated, three-class classification using CAP activations successfully predicted the mHtt suppressed group
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