PET and MRI identification of metabolically injured brain and associated resting state networks to predict outcome of DBS chronic stroke therapy
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.
Authors
- Xuemei Huang (ORCID: https://orcid.org/0000-0003-3583-5502)
- Mark J. Lowe (ORCID: https://orcid.org/0000-0002-7022-8436)
- Frank P. DiFilippo (ORCID: https://orcid.org/0000-0003-2594-7228)
- Ajay Nemani
- Kenneth B. Baker (ORCID: https://orcid.org/0000-0002-4435-7015)
- Stephen E. Jones (ORCID: https://orcid.org/0000-0001-6511-9078)
- André G. Machado (ORCID: https://orcid.org/0000-0002-8132-5610)
- Jacqueline Chen (ORCID: https://orcid.org/0000-0002-9896-6262)
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/0077
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00