Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset

oleh: Swati Rane, Eshin Jolly, Anne Park, Hojin Jang, Cameron Craddock

Format: Article
Diterbitkan: Pensoft Publishers 2017-03-01

Deskripsi

We designed a modular machine learning program that uses functional magnetic resonance imaging (fMRI) data in order to distinguish individuals with autism spectrum disorders from neurodevelopmentally normal individuals. Data was selected from the Autism Brain Imaging Dataset Exchange (ABIDE) I Preprocessed Dataset.