Abstract #3853

Clinical Functional MRI-derived Probabilistic Template of Primary Language Areas of Patients with Brain Tumors

Jian Ming Teo^1,2, Jina Lee³, Ping Hou¹, Vinodh A Kumar³, Kyle R Noll⁴, Sujit S Prabhu⁵, and Ho-Ling Liu¹

¹Department of Imaging Physics, The 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, ³Department of Neuroradiology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁴Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States, ⁵Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Synopsis

Keywords: fMRI, Data ProcessingThis study aims to develop a functional template of primary language areas based on 306 presurgical language fMRI scans from 102 patients with brain tumors. The template was constructed from voxelwise probabilistic distribution of fMRI results of three common clinical language paradigms. An independent dataset of 38 patients was used to test the template from this study and compare with a template derived from the meta-analysis of 1101 published studies. The results showed that our template agreed better with the test dataset, with significantly higher dice coefficients in both anterior and posterior primary language areas, comparing with the literature-based template.

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