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Bonilha, Leonardo
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overview I am a neurologist and clinical researcher. As a neurologist, I work with neurophysiology, epilepsy, language problems and stroke. I am a member of the Epilepsy, Behavioral Neurology and Stroke Divisions in my Department. As a scientist, my research focuses on understanding structural and functional network adaptations to brain injury, particularly regarding language impairments (aphasia) after stroke and its recovery. I also study neuronal networks associated with epilepsy and its response to treatment. Structural and functional MRI are the main research tools used in my lab, but we also work heavily with neurophysiology (scalp and intracranial EEG) as well as behavioral language treatments for language. One of the most gratifying aspects of my job is to work with students and post-docs. I am fortunate to lead a tremendous group of talented individuals, and I am always learning from all of them. For more information see Dr. Bonilha’s Lab
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Concept Learning
Concept Verbal Learning
Academic Article Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
Academic Article Using machine learning to classify temporal lobe epilepsy based on diffusion MRI.
Academic Article Deep learning applied to whole-brain connectome to determine seizure control after epilepsy surgery.
Academic Article Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.
Academic Article Machine learning-based multimodal prediction of language outcomes in chronic aphasia.
Academic Article Clinical utility of structural connectomics in predicting memory in temporal lobe epilepsy.
Academic Article Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.
Concept Machine Learning
Academic Article Relationship between neuronal network architecture and naming performance in temporal lobe epilepsy: A connectome based approach using machine learning.
Academic Article Pre-frontal tDCS improves sustained attention and promotes artificial grammar learning in aphasia: An open-label study.
Academic Article Seizure forecasting using machine learning models trained by seizure diaries.
Academic Article MRI-based deep learning can discriminate between temporal lobe epilepsy, Alzheimer's disease, and healthy controls.
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