English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Poster

Communication in Late-Stage Amyotrophic Lateral Sclerosis by a BCI based on Self-Regulation of Theta-Oscillations in the Precuneus

MPS-Authors
/persons/resource/persons133483

Lohmann,  G       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84898

Erb,  M       
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;

Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Fomina, T., Lohmann, G., Erb, M., Ethofer, T., Schoelkopf, B., Schölkopf, B., et al. (2015). Communication in Late-Stage Amyotrophic Lateral Sclerosis by a BCI based on Self-Regulation of Theta-Oscillations in the Precuneus. Poster presented at 7th International IEEE EMBS Conference on Neural Engineering (NER 2015), Montpellier, France.


Cite as: https://hdl.handle.net/21.11116/0000-0000-B3D4-6
Abstract
Amyotrophic lateral sclerosis (ALS) is neurodegenerative disease that leads to complete muscle paralysis. Brain- Computer Interfaces (BCIs) can be used for basic communication by ALS patients in early and advanced stages of the disease, but not yet by patients in the completely locked-in (CLI) state. This is arguably a result of the focus in BCI research on sensorimotor processes, which are affected by the disease already at an early stage. We have argued that to communicate with late-stage ALS patients it is essential to develop BCIs based on high-level cognitive processes that are less likely to be impaired. Here, we report successful communication by a late-stage (but not yet locked-in) ALS patient by means of self-regulation of theta-power in the precuneus, a brain region that is linked to self-referential thought. The male patient participated in 30 neurofeedback sessions over the course of one year, based on high-density EEG recordings. In each session, he received visual and auditory feedback on his current state of theta-power (2?5 Hz) in the precuneus. He used this signal to answer yes/no questions online, to which he had provided the correct answers in advance. The patient achieved an online decoding accuracy, averaged across all 30 sessions, of 70.5%, with a significant positive trend across sessions. Our study thus shows that it is feasible to use self-regulation of theta-power in the precuneus for communication in late-stage ALS.