Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery.
EEG feedback studies demonstrate that human subjects can learn to regulate electrocortical activity over the sensorimotor cortex. Such self-induced EEG changes could serve as control signals for a Brain Computer Interface. The experimental task of the current study was to imagine either right-hand o...
| Publicado en: | Journal of Clinical Neurophysiology Vol. 16; no. 4; pp. 373 - 383 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jul1999
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=112252762&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 112252762 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07360258 8CL jtl: Journal of Clinical Neurophysiology issn: 07360258 maglogo: N pubinfo: dt: Jul1999 vid: 16 iid: 4 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 112252762 112252762 NLM10478710 112252762 10.1097/00004691-199907000-00010 NLM10478710 112252762 ppf: 373 ppct: 10 formats: tig: atl: Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery. aug: au: Neuper, Christa Schlögl, Alois Pfurtscheller, Gert Neuper, C Schlögl, A Pfurtscheller, G affil: Ludwig-Boltzmann Institute for Medical Informatics and Neuroinformatics and Department of Medical Informatics, Institute for Biomedical Engineering, University of Technology, Graz, Austria sug: subj: Frontal Lobe Physiology Parietal Lobe Physiology Dominance, Cerebral Physiology Imagination Movement Physiology Electroencephalography Adult Feedback Male Female Time Factors Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies Impact of Events Scale Adult: 19-44 years Male Female ab: EEG feedback studies demonstrate that human subjects can learn to regulate electrocortical activity over the sensorimotor cortex. Such self-induced EEG changes could serve as control signals for a Brain Computer Interface. The experimental task of the current study was to imagine either right-hand or left-hand movement depending on a visual cue stimulus on a computer monitor. The performance of this imagination task was controlled on-line by means of a feedback bar that represented the current EEG pattern. EEG signals recorded from left and right central recording sites were used for on-line classification. For the estimation of EEG parameters, an adaptive autoregressive model was applied, and a linear discriminant classifier was used to discriminate between EEG patterns associated with left and right motor imagery. Four trained subjects reached 85% to 95% classification accuracy in the course of the experimental sessions. To investigate the impact of continuous feedback presentation, time courses of band power changes were computed for subject-specific frequency bands. The EEG data revealed a significant event-related desynchronization over the contralateral central area in all subjects. Two subjects simultaneously displayed synchronization of EEG activity (event-related synchronization) over the ipsilateral side. During feedback presentation the event-related desynchronization/event-related synchronization patterns showed increased hemispheric asymmetry compared to initial control sessions without feedback. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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