Multimodal Imaging of Cognitive Networks in Epilepsy: Implications for Surgery
The research investigates the utility of non-invasive multimodal imaging in the preoperative evaluation of patients with temporal lobe epilepsy and examines which method or combination of imaging methods (fMRI, DTI, structural morphometry) and clinical variables best predict the postoperative cognitive outcome.
Research Scholar Grant
American Cancer Society
Restriction Spectrum Imaging for Detecting and Monitoring Brain Tumors
This study evaluates the ability of an advanced diffusion imaging technique, restriction spectrum imaging (RSI) to improve the detection of brain tumors and provide a stronger biomarker of response to anti-angiogenic therapy relative to standard diffusion methods.
Prediction of seizure lateralization and postoperative outcome through the use of deep learning applied to multi-site MRI/DTI data: An ENIGMA-Epilepsy study
This grant applies three different machine learning algorithms to advanced structural and diffusion-weighted imaging from 24 epilepsy centers world-wide to predict seizure lateralization and postoperative outcome in patients with temporal lobe epilepsy.
Restriction Spectrum Imaging for the Evaluation of Response to Immunotherapy in Patients with Primary and Metastatic Brain Tumors
This grant application evaluates the use of advanced diffusion imaging and multi-band technology for improving the evaluation of response to therapy on patients with brain tumors who are treated with immunotherapeutic agents.