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

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
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article

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

Xuemei Huang, Mark J. Lowe, Frank P. DiFilippo, Ajay Nemani et al.
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
Advanced MRI Techniques and Applications
article

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

Xuemei Huang, Mark J. Lowe, Frank P. DiFilippo, Ajay Nemani, Kenneth B. Baker, Stephen E. Jones, André G. Machado, Jacqueline Chen
article en

Abstract

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.

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
Reduced inequalities
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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PET and MRI identification of metabolically injured brain and associated resting state networks to predict outcome of DBS chronic stroke therapy — Xuemei Huang, Mark J. Lowe, et al. · 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 (2024) | TGRS Research Map | TGRS