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Abstract #3393

WM motor learning can be detected using low frequency oscillations in time series functional MRI

Tory Frizzell1, Elisha Phull2, Mishaa Khan2, Jodie Gawryluk3, Xiaowei Song2, and Ryan C.N. D'Arcy4
1Engineering Science, Simon Fraser University, Surrey, BC, Canada, 2Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada, 3Psychology, University of Victoria, Victoria, BC, Canada, 4Computing Science, Simon Fraser University, Surrey, BC, Canada

A gap exists in developing a sensitive method for detecting functional neuroplasticity in white matter. To investigate this, participants trained on a motor learning task for two weeks and were scanned pre and post training using task based BOLD fMRI and DTI. Low frequency oscillations in time series BOLD data demonstrated that average amplitudes decreased with training in the internal capsule and corpus callosum genu. DTI analysis detected white matter neuroplasticity in internal capsule and corona radiata using fractional anisotropy. The distributed effect of motor learning suggests that multi-modal whole brain approaches will provide a more comprehensive understanding neuroplasticity.

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