Journal ArticleOPEN ACCESS

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

  • Rane S
  • Jolly E
  • Park A
  • et al.
Research Ideas and Outcomes (2017) 3 e12733
DOI: 10.3897/rio.3.e12733
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Abstract

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.

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APA

Rane, S., Jolly, E., Park, A., Jang, H., & Craddock, C. (2017). Developing predictive imaging biomarkers using whole-brain classifiers: Application to the ABIDE I dataset. Research Ideas and Outcomes, 3, e12733. https://doi.org/10.3897/rio.3.e12733

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