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Abstract #1343

Diffusion functional MRI characterizes dynamical brain function in a neuropsychiatric disease model mouse

Yoshifumi Abe1
1Keio University School of Medicine, Tokyo, Japan

We propose an analytical framework to characterize dynamic brain function in neuropsychiatric conditions by taking advantage of the technical aspects of diffusion functional MRI (DfMRI). The pipeline consists of local activity analysis with apparent diffusion coefficient (ADC) data, functional connectivity (FC) analysis with diffusion-weighted data (Sb1800), and ignition-driven mean integration (IDMI) analysis combining both. We illustrated its utility by analyzing model mice with an obsessive–compulsive disorder (OCD)-related behavior. The framework was successful in detecting hyperactivation and biased connectivity across the cortico-striato-thalamic circuitry. The IDMI analysis found unseen local activity-initiated propagation to the global network.

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