Literature DB >> 23246415

Face stimuli effectively prevent brain-computer interface inefficiency in patients with neurodegenerative disease.

Tobias Kaufmann1, Stefan M Schulz, Anja Köblitz, Gregor Renner, Carsten Wessig, Andrea Kübler.   

Abstract

OBJECTIVES: Recently, we proposed a new stimulation paradigm for brain computer interfaces (BCI) based on event-related potentials (ERP), i.e. flashing characters with superimposed pictures of well-known faces. This new face flashing (FF) paradigm significantly outperformed the commonly used character flashing (CF) approach, i.e. simply highlighting characters.
METHODS: In the current study we assessed the impact of face stimuli on BCI inefficiency in patients with neurodegenerative disease, i.e. on their inability to communicate by means of a BCI. Healthy participants (N = 16) and those with neurodegenerative disease (N = 9) performed spelling tasks using CF and FF paradigms.
RESULTS: Online performance with FF was significantly increased as compared to CF in both, healthy and impaired users. Importantly, two patients who were classified "highly inefficient" with the classic CF stimulation were able to spell with high accuracy using FF. Our results particularly emphasize great benefit of the FF paradigm for those users displaying low signal-to-noise ratio of the recorded ERPs in the classic stimulation approach.
CONCLUSION: In conclusion, we confirm previously reported results now systematically validated in an online setting and display specifically beneficial effects of FF for motor-impaired users. SIGNIFICANCE: The FF paradigm thus constitutes a big step forward against the BCI inefficiency phenomenon.
Copyright © 2012 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23246415     DOI: 10.1016/j.clinph.2012.11.006

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  42 in total

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7.  Considering Augmentative and Alternative Communication Research for Brain-Computer Interface Practice.

Authors:  Kevin M Pitt; Jonathan S Brumberg; Adrienne R Pitt
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8.  Evaluating brain-computer interface performance using color in the P300 checkerboard speller.

Authors:  D B Ryan; G Townsend; N A Gates; K Colwell; E W Sellers
Journal:  Clin Neurophysiol       Date:  2017-08-08       Impact factor: 3.708

9.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

10.  A multimenu system based on the P300 component as a time saving procedure for communication with a brain-computer interface.

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