Literature DB >> 31696938

Immediate brain plasticity after one hour of brain-computer interface (BCI).

Till Nierhaus1,2, Carmen Vidaurre3,4, Claudia Sannelli3, Klaus-Robert Mueller3,5,6, Arno Villringer1,7.   

Abstract

KEY POINTS: Two groups of inexperienced brain-computer interface users underwent a purely mental EEG-BCI session that rapidly impacted on their brain. Modulations in structural and functional MRI were found after only 1 h of BCI training. Two different types of BCI (based on motor imagery or visually evoked potentials) were employed and analyses showed that the brain plastic changes are spatially specific for the respective neurofeedback. This spatial specificity promises tailored therapeutic interventions (e.g. for stroke patients). ABSTRACT: A brain-computer-interface (BCI) allows humans to control computational devices using only neural signals. However, it is still an open question, whether performing BCI also impacts on the brain itself, i.e. whether brain plasticity is induced. Here, we show rapid and spatially specific signs of brain plasticity measured with functional and structural MRI after only 1 h of purely mental BCI training in BCI-naive subjects. We employed two BCI approaches with neurofeedback based on (i) modulations of EEG rhythms by motor imagery (MI-BCI) or (ii) event-related potentials elicited by visually targeting flashing letters (ERP-BCI). Before and after the BCI session we performed structural and functional MRI. For both BCI approaches we found increased T1-weighted MR signal in the grey matter of the respective target brain regions, such as occipital/parietal areas after ERP-BCI and precuneus and sensorimotor regions after MI-BCI. The latter also showed increased functional connectivity and higher task-evoked BOLD activity in the same areas. Our results demonstrate for the first time that BCI by means of targeted neurofeedback rapidly impacts on MRI measures of brain structure and function. The spatial specificity of BCI-induced brain plasticity promises therapeutic interventions tailored to individual functional deficits, for example in patients after stroke.
© 2019 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.

Entities:  

Keywords:  EEG; brain computer interface (BCI); brain plasticity; fMRI; functional connectivity; machine learning

Mesh:

Year:  2019        PMID: 31696938     DOI: 10.1113/JP278118

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  4 in total

1.  Brain-Machine Interfaces as Commodities: Exchanging Mind for Matter.

Authors:  Christopher M Reilly
Journal:  Linacre Q       Date:  2020-08-04

Review 2.  Pathological changes of brain oscillations following ischemic stroke.

Authors:  Yoshimichi Sato; Oliver Schmitt; Zachary Ip; Gratianne Rabiller; Shunsuke Omodaka; Teiji Tominaga; Azadeh Yazdan-Shahmorad; Jialing Liu
Journal:  J Cereb Blood Flow Metab       Date:  2022-06-25       Impact factor: 6.960

Review 3.  Inter-Individual Differences in Cognitive Tasks: Focusing on the Shaping of Decision-Making Strategies.

Authors:  Elsa Pittaras; Héloïse Hamelin; Sylvie Granon
Journal:  Front Behav Neurosci       Date:  2022-03-29       Impact factor: 3.558

4.  Identification of spatial patterns with maximum association between power of resting state neural oscillations and trait anxiety.

Authors:  Carmen Vidaurre; Vadim V Nikulin; Maria Herrojo Ruiz
Journal:  Neural Comput Appl       Date:  2022-10-01       Impact factor: 5.102

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.