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Modeling Motor Task Activation from Task-free fMRI with Machine Learning: Predictions and Accuracy in Individual Subjects

Modeling Motor Task Activation from Task-free fMRI with Machine Learning: Predictions and Accuracy in Individual Subjects

Predicting individual language task activation from resting state fMRI using a novel data-driven approach

Author:Elizabeth Zakszewski  Alexander Cohen  Oiwi Parker Jones  Saad Jbabdi  Yang Wang  

Author Institution:Medical College of Wisconsin  University of Oxford  

Session Type:Electronic Poster  

Session Date:Thursday, 21 June 2018  

Session Time:13:15  

Session:Analysis Methods: Task-Based fMRI  

Program Number:5467  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 30