Literature DB >> 12667538

Conscious perception of brain states: mental strategies for brain-computer communication.

Nicola Neumann1, Andrea Kübler, Jochen Kaiser, Thilo Hinterberger, Niels Birbaumer.   

Abstract

Direct brain-computer communication utilises self-regulation of brain potentials to select letters, words or symbols from a computer menu. In this study a completely paralysed (locked-in) patient learnt to produce slow cortical potential (SCP) shifts to operate a binary spelling device. After hundreds of training sessions he gave a detailed description of his mental strategies for self-regulation. His cognitive strategies matched with the electrocortical changes perfectly. Thus he produced a contingent negative variation (CNV) with images of preparation such as an arrow being drawn on a bow. To produce a positive potential shift he imagined the arrow shooting up from the bow. To suppress potential shifts he tried to stop thinking. The study demonstrates that patients become sensitive for their brain states with increasing self-regulation practice. The use of conscious cognitive strategies may, however, be incompatible with the complete automatization of the self-regulation skill.

Entities:  

Mesh:

Year:  2003        PMID: 12667538     DOI: 10.1016/s0028-3932(02)00298-1

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  13 in total

1.  Predictors of successful self control during brain-computer communication.

Authors:  N Neumann; N Birbaumer
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-08       Impact factor: 10.154

Review 2.  The role of the feedforward paradigm in cognitive psychology.

Authors:  Demis Basso; Marta Olivetti Belardinelli
Journal:  Cogn Process       Date:  2006-04-28

3.  Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients?

Authors:  A Kübler; N Birbaumer
Journal:  Clin Neurophysiol       Date:  2008-09-27       Impact factor: 3.708

4.  Improving visual perception through neurofeedback.

Authors:  Frank Scharnowski; Chloe Hutton; Oliver Josephs; Nikolaus Weiskopf; Geraint Rees
Journal:  J Neurosci       Date:  2012-12-05       Impact factor: 6.167

5.  Offline Identification of Imagined Speed of Wrist Movements in Paralyzed ALS Patients from Single-Trial EEG.

Authors:  Ying Gu; Dario Farina; Ander Ramos Murguialday; Kim Dremstrup; Pedro Montoya; Niels Birbaumer
Journal:  Front Neurosci       Date:  2009-08-10       Impact factor: 4.677

6.  A multimodal brain-based feedback and communication system.

Authors:  Thilo Hinterberger; Nicola Neumann; Mirko Pham; Andrea Kübler; Anke Grether; Nadine Hofmayer; Barbara Wilhelm; Herta Flor; Niels Birbaumer
Journal:  Exp Brain Res       Date:  2003-11-29       Impact factor: 1.972

7.  Manipulating motor performance and memory through real-time fMRI neurofeedback.

Authors:  Frank Scharnowski; Ralf Veit; Regine Zopf; Petra Studer; Simon Bock; Jörn Diedrichsen; Rainer Goebel; Klaus Mathiak; Niels Birbaumer; Nikolaus Weiskopf
Journal:  Biol Psychol       Date:  2015-03-18       Impact factor: 3.251

8.  EEG Negativity in Fixations Used for Gaze-Based Control: Toward Converting Intentions into Actions with an Eye-Brain-Computer Interface.

Authors:  Sergei L Shishkin; Yuri O Nuzhdin; Evgeny P Svirin; Alexander G Trofimov; Anastasia A Fedorova; Bogdan L Kozyrskiy; Boris M Velichkovsky
Journal:  Front Neurosci       Date:  2016-11-18       Impact factor: 4.677

9.  Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.

Authors:  Matthias Witte; Silvia Erika Kober; Manuel Ninaus; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-08-15       Impact factor: 3.169

Review 10.  Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury.

Authors:  Rüdiger Rupp
Journal:  Front Neuroeng       Date:  2014-09-24
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