Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis

@article{Jayaram2015BraincomputerII,
  title={Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis},
  author={V. Jayaram and N. Widmann and Christian Forster and T. Fomina and M. Hohmann and J. M. Hagen and M. Synofzik and B. Sch{\"o}lkopf and L. Schols and M. Grosse-Wentrup},
  journal={2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  year={2015},
  pages={6979-6982}
}
  • V. Jayaram, N. Widmann, +7 authors M. Grosse-Wentrup
  • Published 2015
  • Computer Science, Psychology, Medicine
  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Despite decades of research on EEG-based brain-computer interfaces (BCIs) in patients with amyotrophic lateral sclerosis (ALS), there is still little known about how the disease affects the electromagnetic field of the brain. This may be one reason for the present failure of EEG-based BCI paradigms for completely locked-in ALS patients. In order to help understand this failure, we have recorded resting state data from six ALS patients and thirty-two healthy controls to investigate for group… Expand
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