Literature DB >> 9739988

Self-regulation of slow cortical potentials in completely paralyzed human patients.

A Kuebler1, B Kotchoubey, H P Salzmann, N Ghanayim, J Perelmouter, V Hömberg, N Birbaumer.   

Abstract

The study was intended to answer the question whether self-regulation of brain activity can be operantly learnt when the brain is disconnected from motor periphery. Two neurological patients with nearly complete motor paralysis learned bi-directional control of their slow cortical potentials (SCP) at vertex. After 4-6 weeks training both patients could reliably differentiate between SCP shifts in a negative versus positive direction. With one patient, training has been continued for a subsequent 4 months, which resulted in precise self-control, i.e. the patient was able to produce positive SCP shifts on command with an accuracy of about 95%. This indicates that self-regulation of cortical excitability (as manifested in the SCP) does not require feedback loops from the periphery. Although we cannot rule out that healthy subjects may employ behavioral strategies such as muscle contractions or changes in breathing, obviously humans can also control their SCP without using these strategies.

Entities:  

Mesh:

Year:  1998        PMID: 9739988     DOI: 10.1016/s0304-3940(98)00570-9

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  8 in total

1.  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

2.  Communication in locked-in state after brainstem stroke: a brain-computer-interface approach.

Authors:  Ujwal Chaudhary; Niels Birbaumer
Journal:  Ann Transl Med       Date:  2015-05

Review 3.  Brain-computer interfaces for communication and rehabilitation.

Authors:  Ujwal Chaudhary; Niels Birbaumer; Ander Ramos-Murguialday
Journal:  Nat Rev Neurol       Date:  2016-08-19       Impact factor: 42.937

4.  An ERP-based BCI with peripheral stimuli: validation with ALS patients.

Authors:  Yangyang Miao; Erwei Yin; Brendan Z Allison; Yu Zhang; Yan Chen; Yi Dong; Xingyu Wang; Dewen Hu; Andrzej Chchocki; Jing Jin
Journal:  Cogn Neurodyn       Date:  2019-06-11       Impact factor: 5.082

5.  P300-Based Brain-Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis.

Authors:  Stefano Silvoni; Chiara Volpato; Marianna Cavinato; Mauro Marchetti; Konstantinos Priftis; Antonio Merico; Paolo Tonin; Konstantinos Koutsikos; Fabrizio Beverina; Francesco Piccione
Journal:  Front Neurosci       Date:  2009-06-19       Impact factor: 4.677

6.  Effect of luminance level on electro-encephalogram alpha-wave synchronisation.

Authors:  A M Maher; L Kirkup; P Swift; D Martin; A Searle; Y Tran; A Craig
Journal:  Med Biol Eng Comput       Date:  2001-11       Impact factor: 3.079

7.  Single trial prediction of self-paced reaching directions from EEG signals.

Authors:  Eileen Y L Lew; Ricardo Chavarriaga; Stefano Silvoni; José Del R Millán
Journal:  Front Neurosci       Date:  2014-08-01       Impact factor: 4.677

8.  Nessi: an EEG-controlled web browser for severely paralyzed patients.

Authors:  Michael Bensch; Ahmed A Karim; Jürgen Mellinger; Thilo Hinterberger; Michael Tangermann; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer
Journal:  Comput Intell Neurosci       Date:  2007
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.