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Abstract #0077

PET and MRI identification of metabolically injured brain and associated resting state networks to predict outcome of DBS chronic stroke therapy

Jacqueline Chen1, Xuemei Huang1, Ajay Nemani1, Frank DiFilippo1, Stephen Jones1, Mark Lowe1, Kenneth Baker1, and Andre Machado1
1Cleveland Clinic, Cleveland, OH, United States

Synopsis

Keywords: Stroke, Stroke

Motivation: Determine which chronic post-stroke patients with hand motor deficits will benefit from cerebellar deep brain stimulation (DBS).

Goal(s): Test the hypothesis that patients with metabolic injury to fewer rsfMRI networks experienced greater motor improvement after DBS.

Approach: Analysis of baseline 18F-fluorodeoxyglucose PET identified the most metabolically injured brain region (“PET-max-imbalance-region”) for 12 patients. The total number of rsfMRI networks and volume of functionally connected brain associated with the “PET-max-imbalance-region” were calculated.

Results: : Lower numbers of rsfMRI networks intersecting the “PET-max-imbalance-region” and total volumes of brain contained within networks and functionally connected to the “PET-max-imbalance-region” were associated with greater arm function improvement after DBS.

Impact: Metrics quantifying the extent of resting-state functional MRI networks associated with the most metabolically injured brain region could be considered as inclusion/exclusion criteria when evaluating candidates for cerebellar deep brain stimulation treatment for chronic post-stroke hand motor deficits.

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