Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: feasibility and limitations.
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Current Challenges Facing the Translation of Brain Computer Interfaces from Preclinical Trials to Use in Human PatientsfNIRS-based brain-computer interfaces: a reviewLateralization of music processing with noises in the auditory cortex: an fNIRS studyNon-invasive brain stimulation in neurorehabilitation: local and distant effects for motor recovery.Single-trial lie detection using a combined fNIRS-polygraph system.Optimal hemodynamic response model for functional near-infrared spectroscopy.Simultaneous transcranial direct current stimulation (tDCS) and whole-head magnetoencephalography (MEG): assessing the impact of tDCS on slow cortical magnetic fieldsBrain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.The Evolution of Neuroprosthetic Interfaces.Change in Mean Frequency of Resting-State Electroencephalography after Transcranial Direct Current Stimulation.Transcranial direct current stimulation and power spectral parameters: a tDCS/EEG co-registration study.Sensorimotor Rhythm BCI with Simultaneous High Definition-Transcranial Direct Current Stimulation Alters Task Performance.Anodal Transcranial Direct Current Stimulation Increases Bilateral Directed Brain Connectivity during Motor-Imagery Based Brain-Computer Interface Control.Single-session tDCS over the dominant hemisphere affects contralateral spectral EEG power, but does not enhance neurofeedback-guided event-related desynchronization of the non-dominant hemisphere's sensorimotor rhythm.
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P2860
Learned EEG-based brain self-regulation of motor-related oscillations during application of transcranial electric brain stimulation: feasibility and limitations.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 18 March 2014
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Learned EEG-based brain self-r ...... : feasibility and limitations.
@en
Learned EEG-based brain self-r ...... : feasibility and limitations.
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type
label
Learned EEG-based brain self-r ...... : feasibility and limitations.
@en
Learned EEG-based brain self-r ...... : feasibility and limitations.
@nl
prefLabel
Learned EEG-based brain self-r ...... : feasibility and limitations.
@en
Learned EEG-based brain self-r ...... : feasibility and limitations.
@nl
P2093
P2860
P356
P1476
Learned EEG-based brain self-r ...... : feasibility and limitations.
@en
P2093
Eliana G Cossio
Leonardo G Cohen
Matthias Witkowski
Surjo R Soekadar
P2860
P356
10.3389/FNBEH.2014.00093
P577
2014-03-18T00:00:00Z