Abstract #3170

Resting-state fMRI localization of tongue motor areas with a patient-based probabilistic functional atlas

Ho-Ling Liu¹, Jian Ming Teo^1,2, Kevin D Tran³, Mu-Lan Jen¹, Ping Hou¹, Kyle R Noll⁴, Sherise D Ferguson⁵, Sujit S Prabhu⁵, Max Wintermark⁶, and Vinodh A Kumar⁶

¹Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, United States, ²The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, United States, ³NordicNeuroLab Inc, Milwaukee, WI, United States, ⁴Department of Neuro-Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁵Department of Neurosurgery, University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁶Department of Neuroradiology, University of Texas MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: fMRI Analysis, fMRI, Motor function

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.

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