Literature DB >> 23153708

Brain-computer interface and semantic classical conditioning of communication in paralysis.

Daniele De Massari1, Tamara Matuz, Adrian Furdea, Carolin A Ruf, Sebastian Halder, Niels Birbaumer.   

Abstract

We propose a classical semantic conditioning procedure to allow basic yes-no communication in the completely locked-in state as an alternative to instrumental-operant learning of brain responses, which is the common approach in brain-computer interface research. More precisely, it was intended to establish cortical responses to the trueness of a statement irrespective of the particular constituent words and letters or sounds of the words. As unconditioned stimulus short aversive stimuli consisting of 1-ms electrical pulses were used. True and false statements were presented acoustically and only the true statements were immediately followed by electrical stimuli. 15 healthy participants and one locked-in ALS patient underwent the experiment. Three different classifiers were employed in order to differentiate between the two cortical responses by means of electroencephalographic recordings. The offline analysis revealed that semantic classical conditioning can be applied successfully to enable basic communication using a non-muscular channel.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23153708     DOI: 10.1016/j.biopsycho.2012.10.015

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  6 in total

1.  Prediction of P300 BCI aptitude in severe motor impairment.

Authors:  Sebastian Halder; Carolin Anne Ruf; Adrian Furdea; Emanuele Pasqualotto; Daniele De Massari; Linda van der Heiden; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer; Andrea Kübler; Tamara Matuz
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

2.  Covert Intention to Answer to Self-Referential Questions Is Represented in Alpha-Band Local and Interregional Neural Synchronies.

Authors:  Jeong Woo Choi; Kwang Su Cha; Kyung Hwan Kim
Journal:  Comput Intell Neurosci       Date:  2019-01-06

3.  Prediction of brain-computer interface aptitude from individual brain structure.

Authors:  S Halder; B Varkuti; M Bogdan; A Kübler; W Rosenstiel; R Sitaram; N Birbaumer
Journal:  Front Hum Neurosci       Date:  2013-04-02       Impact factor: 3.169

4.  Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state.

Authors:  Ivo Käthner; Andrea Kübler; Sebastian Halder
Journal:  J Neuroeng Rehabil       Date:  2015-09-04       Impact factor: 4.262

5.  A feasibility study of an improved procedure for using EEG to detect brain responses to imagery instruction in patients with disorders of consciousness.

Authors:  Anna Lisa Mangia; Marco Pirini; Laura Simoncini; Angelo Cappello
Journal:  PLoS One       Date:  2014-06-10       Impact factor: 3.240

6.  Insula and inferior frontal triangularis activations distinguish between conditioned brain responses using emotional sounds for basic BCI communication.

Authors:  Linda van der Heiden; Giulia Liberati; Ranganatha Sitaram; Sunjung Kim; Piotr Jaśkowski; Antonino Raffone; Marta Olivetti Belardinelli; Niels Birbaumer; Ralf Veit
Journal:  Front Behav Neurosci       Date:  2014-07-21       Impact factor: 3.558

  6 in total

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