Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations

Objective: Transcranial direct current stimulation (tDCS) improves motor learning and can influence emotional processing or attention. However, it remained unclear whether learned electroencephalography (EEG)-based brain-machine interface (BMI) control during tDCS is feasible and how application of...

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Main Authors: Surjo R Soekadar, Matthias eWitkowski, Eliana eGarcia Cossio, Niels eBirbaumer, Leonardo eCohen
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Behavioral Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00093/full
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author Surjo R Soekadar
Surjo R Soekadar
Surjo R Soekadar
Matthias eWitkowski
Matthias eWitkowski
Eliana eGarcia Cossio
Eliana eGarcia Cossio
Niels eBirbaumer
Niels eBirbaumer
Leonardo eCohen
author_facet Surjo R Soekadar
Surjo R Soekadar
Surjo R Soekadar
Matthias eWitkowski
Matthias eWitkowski
Eliana eGarcia Cossio
Eliana eGarcia Cossio
Niels eBirbaumer
Niels eBirbaumer
Leonardo eCohen
author_sort Surjo R Soekadar
collection DOAJ
description Objective: Transcranial direct current stimulation (tDCS) improves motor learning and can influence emotional processing or attention. However, it remained unclear whether learned electroencephalography (EEG)-based brain-machine interface (BMI) control during tDCS is feasible and how application of transcranial electric currents during BMI control would interfere with feature-extraction of physiological brain signals. Here we tested this combination and evaluated stimulation-dependent artifacts across different EEG frequencies and stability of motor imagery-based BMI control. Approach: Ten healthy volunteers were invited to two BMI-sessions, each comprising two 60-trial blocks. During the trials, modulation of mu-rhythms (8-15Hz) associated with motor imagery recorded over C4 was translated into online cursor movements on a computer screen. During block 2, either sham (session A) or anodal tDCS (session B) was applied at 1mA with the stimulation electrode placed 1cm anterior of C4. Main results: tDCS was associated with a significant signal power increase in the lower frequencies most evident in the signal spectrum of the EEG channel closest to the stimulation electrode. Stimulation-dependent signal power increase exhibited a decay of 12dB per decade, leaving frequencies above 9Hz unaffected. Analysis of BMI control performance did not indicate a difference between blocks and tDCS conditions. Conclusion: Application of tDCS during learned EEG-based self-regulation of brain oscillations above 9Hz is feasible and safe, and might improve applicability of BMI systems in patient populations.
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spelling doaj.art-27809edbc89c42ca971ae13fc3a76d632022-12-21T17:31:07ZengFrontiers Media S.A.Frontiers in Behavioral Neuroscience1662-51532014-03-01810.3389/fnbeh.2014.0009381090Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitationsSurjo R Soekadar0Surjo R Soekadar1Surjo R Soekadar2Matthias eWitkowski3Matthias eWitkowski4Eliana eGarcia Cossio5Eliana eGarcia Cossio6Niels eBirbaumer7Niels eBirbaumer8Leonardo eCohen9University Hospital of TübingenUniversity of TübingenNational Institutes of HealthUniversity Hospital of TübingenUniversity of TübingenUniversity Hospital of TübingenUniversity of TübingenUniversity of TübingenIRCCS, Ospedale San CamilloNational Institutes of HealthObjective: Transcranial direct current stimulation (tDCS) improves motor learning and can influence emotional processing or attention. However, it remained unclear whether learned electroencephalography (EEG)-based brain-machine interface (BMI) control during tDCS is feasible and how application of transcranial electric currents during BMI control would interfere with feature-extraction of physiological brain signals. Here we tested this combination and evaluated stimulation-dependent artifacts across different EEG frequencies and stability of motor imagery-based BMI control. Approach: Ten healthy volunteers were invited to two BMI-sessions, each comprising two 60-trial blocks. During the trials, modulation of mu-rhythms (8-15Hz) associated with motor imagery recorded over C4 was translated into online cursor movements on a computer screen. During block 2, either sham (session A) or anodal tDCS (session B) was applied at 1mA with the stimulation electrode placed 1cm anterior of C4. Main results: tDCS was associated with a significant signal power increase in the lower frequencies most evident in the signal spectrum of the EEG channel closest to the stimulation electrode. Stimulation-dependent signal power increase exhibited a decay of 12dB per decade, leaving frequencies above 9Hz unaffected. Analysis of BMI control performance did not indicate a difference between blocks and tDCS conditions. Conclusion: Application of tDCS during learned EEG-based self-regulation of brain oscillations above 9Hz is feasible and safe, and might improve applicability of BMI systems in patient populations.http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00093/fullEEGMotor ImageryTranscranial electric stimulation (TES)Brain-machine interface (BMI) controlstimulation artefacts
spellingShingle Surjo R Soekadar
Surjo R Soekadar
Surjo R Soekadar
Matthias eWitkowski
Matthias eWitkowski
Eliana eGarcia Cossio
Eliana eGarcia Cossio
Niels eBirbaumer
Niels eBirbaumer
Leonardo eCohen
Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
Frontiers in Behavioral Neuroscience
EEG
Motor Imagery
Transcranial electric stimulation (TES)
Brain-machine interface (BMI) control
stimulation artefacts
title Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
title_full Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
title_fullStr Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
title_full_unstemmed Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
title_short Learned EEG-based regulation of motor-related brain oscillations during application of transcranial electric currents: feasibility and limitations
title_sort learned eeg based regulation of motor related brain oscillations during application of transcranial electric currents feasibility and limitations
topic EEG
Motor Imagery
Transcranial electric stimulation (TES)
Brain-machine interface (BMI) control
stimulation artefacts
url http://journal.frontiersin.org/Journal/10.3389/fnbeh.2014.00093/full
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