Resting-state fMRI localization of tongue motor areas with a patient-based probabilistic functional atlas
Motivation: To benefit patients who needs presurgical mapping of tongue motor areas but have limited tb-fMRI. Goal(s): To create a probabilistic tongue motor atlas and evaluate its use for guiding rs-fMRI seed-based correlation (SBC) analysis. Approach: Presurgical tb-fMRI of 30 brain tumor patients were used to create the atlas. This atlas was transferred to a different set of patients’ individual space for guiding rs-fMRI analysis. Locations of functional connectivity detected in the ipsilateral hemisphere were compared with tb-fMRI results. Results: A tongue motor atlas was developed, which can effectively guide the rs-fMRI analysis with results similar to when seeding based on the tb-fMRI activation. Impact: The probabilistic functional atlas enables automated seed-based analysis for rs-fMRI localization of tongue motor areas in patients undergoing brain tumor resection. It also provides a functional localizer which can be used for various quantitative image analyses of tongue motor areas.
Authors
- Vinodh A. Kumar (ORCID: https://orcid.org/0000-0002-8322-1233)
- Ho‐Ling Liu (ORCID: https://orcid.org/0000-0002-0284-5889)
- Mu‐Lan Jen (ORCID: https://orcid.org/0000-0003-1323-4765)
- Sherise Desiree Ferguson (ORCID: https://orcid.org/0000-0002-6344-0615)
- Max Wintermark (ORCID: https://orcid.org/0000-0002-6726-3951)
- Sujit S. Prabhu (ORCID: https://orcid.org/0000-0002-8155-0623)
- Kyle R. Noll (ORCID: https://orcid.org/0000-0002-7105-1900)
- Kevin Tran
- Ping Hou (ORCID: https://orcid.org/0000-0002-1518-571X)
- Jian Ming Teo (ORCID: https://orcid.org/0000-0003-3543-1719)
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/10.58530/2024/3170
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00