Time: 12:30pm – 2:00pm EST
CE: 1.5 credit hours
This course will highlight translational research and innovations in human brain mapping in order to understand complex diseases across the lifespan. In clinical neurology, patients can present with the exact same group of symptoms (autism, generalized seizures called infantile spasms) despite a disparate distribution of causal focal lesions, including strokes, tumors, or malformations of cortical development. Through a novel approach called lesion network mapping (LNM), Dr. Peters will demonstrate how shared network properties of specific phenotypes can be identified. He will also present some forward-looking ideas about the application of deep learning and medical crowd-sourcing to tackle rare diseases like Tuberous Sclerosis Complex. Epilepsy surgery often remains the only possible treatment option to achieve seizure freedom and improve quality of life in patients with pharmacoresistant epilepsy. However, the overlap between the resection site and a neural substrate supporting language and motor functions might result in severe post-surgical deficits. To avoid pos-surgical morbidity and expand surgical treatment options, the innovative adaptive neurotechnology approaches, powered by machine learning and deep learning algorithms, are being developed to create functional maps in real-time and guide epilepsy surgery. Dr. Korostenskaja will discuss the current state of this technological development in the field of epilepsy and tumor surgery and its future perspectives. Finally, Dr. Quiroz will discuss recent developments in biomarkers of preclinical Alzheimer’s disease, including her group’s work with autosomal dominant Alzheimer’s disease, multimodal neuroimaging methods and digital assessments.
To receive CE credit, you will be required to complete a post-activity evaluation for each workshop you attend. You will receive a certificate of completion.