Single trial decoding of belief decision making from EEG and fMRI data using independent components features

@inproceedings{Douglas2013SingleTD,
  title={Single trial decoding of belief decision making from EEG and fMRI data using independent components features},
  author={Pamela K. Douglas and Edward Lau and Ariana E. Anderson and Austin Head and Wesley Kerr and Margalit Wollner and Daniel Moyer and Wei Li and Mike Durnhofer and Jennifer Bramen and Mark S. Cohen},
  booktitle={Front. Hum. Neurosci.},
  year={2013}
}
The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion. In the current work, we present parallel machine learning methods for predicting a subject's decision response to a given propositional statement based on independent component (IC) features derived from EEG and fMRI data. Our results demonstrate that IC features outperformed features derived from event related… CONTINUE READING
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When do negative Frontiers in Human Neuroscience

  • N. Osaka
  • 2013

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