An auditory brain-computer interface (BCI)
- PMID: 17399797
- PMCID: PMC7955811
- DOI: 10.1016/j.jneumeth.2007.02.009
An auditory brain-computer interface (BCI)
Abstract
Brain-computer interfaces (BCIs) translate brain activity into signals controlling external devices. BCIs based on visual stimuli can maintain communication in severely paralyzed patients, but only if intact vision is available. Debilitating neurological disorders however, may lead to loss of intact vision. The current study explores the feasibility of an auditory BCI. Sixteen healthy volunteers participated in three training sessions consisting of 30 2-3 min runs in which they learned to increase or decrease the amplitude of sensorimotor rhythms (SMR) of the EEG. Half of the participants were presented with visual and half with auditory feedback. Mood and motivation were assessed prior to each session. Although BCI performance in the visual feedback group was superior to the auditory feedback group there was no difference in performance at the end of the third session. Participants in the auditory feedback group learned slower, but four out of eight reached an accuracy of over 70% correct in the last session comparable to the visual feedback group. Decreasing performance of some participants in the visual feedback group is related to mood and motivation. We conclude that with sufficient training time an auditory BCI may be as efficient as a visual BCI. Mood and motivation play a role in learning to use a BCI.
Figures




Similar articles
-
A portable auditory P300 brain-computer interface with directional cues.Clin Neurophysiol. 2013 Feb;124(2):327-38. doi: 10.1016/j.clinph.2012.08.006. Epub 2012 Sep 7. Clin Neurophysiol. 2013. PMID: 22959257
-
An auditory brain-computer interface based on the self-regulation of slow cortical potentials.Neurorehabil Neural Repair. 2005 Sep;19(3):206-18. doi: 10.1177/1545968305277628. Neurorehabil Neural Repair. 2005. PMID: 16093411 Clinical Trial.
-
Sensorimotor learning with stereo auditory feedback for a brain-computer interface.Med Biol Eng Comput. 2013 Mar;51(3):285-93. doi: 10.1007/s11517-012-0992-7. Epub 2012 Nov 30. Med Biol Eng Comput. 2013. PMID: 23197181
-
What External Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?HCA Healthc J Med. 2021 Jun 28;2(3):143-162. doi: 10.36518/2689-0216.1188. eCollection 2021. HCA Healthc J Med. 2021. PMID: 37427002 Free PMC article. Review.
-
Brain-computer interfaces for communication and control.Clin Neurophysiol. 2002 Jun;113(6):767-91. doi: 10.1016/s1388-2457(02)00057-3. Clin Neurophysiol. 2002. PMID: 12048038 Review.
Cited by
-
New horizons in brain-computer interface research.Clin Neurophysiol. 2013 Jan;124(1):2-4. doi: 10.1016/j.clinph.2012.07.012. Epub 2012 Aug 16. Clin Neurophysiol. 2013. PMID: 22902247 Free PMC article. No abstract available.
-
Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces.Front Hum Neurosci. 2021 Apr 6;15:634748. doi: 10.3389/fnhum.2021.634748. eCollection 2021. Front Hum Neurosci. 2021. PMID: 33889080 Free PMC article.
-
Continual Learning of a Transformer-Based Deep Learning Classifier Using an Initial Model from Action Observation EEG Data to Online Motor Imagery Classification.Bioengineering (Basel). 2023 Feb 1;10(2):186. doi: 10.3390/bioengineering10020186. Bioengineering (Basel). 2023. PMID: 36829681 Free PMC article.
-
A Review of Brain Activity and EEG-Based Brain-Computer Interfaces for Rehabilitation Application.Bioengineering (Basel). 2022 Dec 5;9(12):768. doi: 10.3390/bioengineering9120768. Bioengineering (Basel). 2022. PMID: 36550974 Free PMC article. Review.
-
Empathy, motivation, and P300 BCI performance.Front Hum Neurosci. 2013 Oct 17;7:642. doi: 10.3389/fnhum.2013.00642. eCollection 2013. Front Hum Neurosci. 2013. PMID: 24146640 Free PMC article.
References
-
- Averbeck M, Leiberich P, Grote-Kusch MT, Olbrich E, Schröder A, Brieger M, Schumacher K. Skalen zur Erfassung der Lebensqualität (SEL) – Manual. Swets & Zeitlinger B.V.: Frankfurt, 1997.
-
- Bach JR. Amyotrophic lateral sclerosis - communication status and survival with ventilatory support. Am. J. Physical Med. Rehabil, 1993; 72: 343–49. - PubMed
-
- Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kübler A, Perelmouter J, Taub E, Flor H. A spelling device for the paralysed. Nature, 1999; 398: 297–8. - PubMed
-
- Birbaumer N Breaking the silence: brain-computer interfaces (BCI) for communication and motor control. Psychophysiology, 2006; 43: 517–37. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources