Predicting workload profiles of brain-robot interface and electromygraphic neurofeedback with cortical resting-state networks: personal trait or task-specific challenge?

Journal: Journal of neural engineering
Published Date: Aug 1, 2015

Abstract

OBJECTIVE: Novel rehabilitation strategies apply robot-assisted exercises and neurofeedback tasks to facilitate intensive motor training. We aimed to disentangle task-specific and subject-related contributions to the perceived workload of these interventions and the related cortical activation patterns.

Authors

  • Meike Fels
    Division of Translational Neurosurgery & Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Centre for Integrative Neuroscience, University of Tuebingen, Germany.
  • Robert Bauer
    Division of Translational Neurosurgery & Division of Functional and Restorative Neurosurgery, Department of Neurosurgery, and Centre for Integrative Neuroscience, University of Tuebingen, Germany. Electronic address: robert.bauer@cin.uni-tuebingen.de.
  • Alireza Gharabaghi
    Department of Neurosurgery and Neurotechnology, Institute for Neuromodulation and Neurotechnology, Eberhard Karls University Tuebingen, Germany.

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