Keywords: Functional Connectivity, fMRI (resting state)
Motivation: To develop clinical software for automated localization of critical functional networks with presurgical resting-state (rs) functional MRI (fMRI).
Goal(s): To develop analysis pipelines integrating patient-based probabilistic functional atlases and evaluate their effectiveness for mapping motor (hand, tongue, foot), visual, and language networks.
Approach: The software implemented motor, visual, and language atlases, created using presurgical tb-fMRI of brain tumor patients, for seed-based correlation and independent component analysis on rs-fMRI patient data. The results were compared to tb-fMRI.
Results: The distances between the resulting functional connectivity peaks and tb-fMRI activation peaks were equivalent to those obtained by seeding based on tb-fMRI activation.
Impact: This work developed software that automates rs-fMRI analysis by implementing probabilistic functional atlases in SBC and ICA pipelines. It supports routine clinical use of rs-fMRI for presurgical mapping of motor, visual, and language areas for patients undergoing brain tumor resection.
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