About the Symposium
This symposium highlights advances in neuroimaging technologies and methods for applying machine learning approaches to increasingly large-scale data sets that have the potential to transform healthcare by providing non-invasive, reliable indicators of brain health, resilience and vulnerability long before clinical manifestations of disease.
This free event is sponsored by the McCance Center, the Martinos Center and Harvard-MIT Health Sciences and Technology.
Schedule
The symposium takes place February 12, 2021 from 8:00 am to 2:00 pm Eastern time (US & Canada).
8:30 am – Welcome
Randy Gollub MD, PhD, Director of Imaging Science, McCance Center for Brain Health
8:40 am – Keynote: Quantitative Imaging Markers of Brain Health
Simon Eickhoff, MD, PhD, Director, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf
9:30 am – 11:00 am: Choose Track 1 or Track 2
Track 1: Opportunities & Obstacles In Precision Multimodal MRI
Moderator: Lauren O’Donnell, PhD (Brigham and Women’s Hospital)
Track 2: Frontiers of Clinical Functional Brain Imaging
Moderator: Jordan Harrod (MIT)
- Predicting Brain Age from Sleep EEG: Opportunities for Tracking Brain Health – Haoqi Sun, PhD (MGH)
- Imaging Based Prediction, Early Detection, and Novel Behavioral Interventions for Psychiatric Disorders – Susan Whitfield-Gabrieli, PhD (Northeastern University)
- Interactive Visualization of Complex Brain Imaging Data Elements to Gain Patient Level Insights – Loraine Franke (University of Massachusetts, Boston)
- Using Lesion (symptom) – Connectome Matching to Optimize Brain Stimulation Treatments for Neuropsychiatric Disorders – Shan Siddiqi, MD (Brigham and Women’s Hospital)
11:15 am – State of the Field
Randy Gollub, MD, PhD, Director of Imaging Science, McCance Center for Brain Health
1:00 pm – 2:00 pm: Optional mentoring session (for students, postdocs and fellows)