7 results match your criteria: "and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics[Affiliation]"

Brain-computer communication based on the dynamics of brain oscillations.

Suppl Clin Neurophysiol

September 2005

Department of Medical Informatics, Institute for Biomedical Engineering, Technical University of Graz, and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Inffeldgasse 16a/II, A-8010 Graz, Austria.

This chapter presents a review of brain-computer communication based on motor imagery and the dynamics of brain oscillations. The concept of motor imagery as experimental strategy and the two different modes of operation a brain-computer interface can have are explained. An EEG based brain switch that can control a FES-induced hand grasp of a tetraplegic and an approach towards an ECoG based brain switch are presented.

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Induced oscillations in the alpha band: functional meaning.

Epilepsia

February 2004

Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Technical University Graz, Inffeldgasse 16a/II, A-8010 Graz, Switzerland.

The phenomena of event-related desynchronization (ERD) and synchronization (ERS) reflect the dynamics of neural networks and can be observed on different scalp locations at the same moment of time. Whereas on one cortical area a focal 10-Hz ERD can be found, other areas can display a 10-Hz ERS. This phenomenon is called focal ERD/surround ERS and is interpreted as a correlate of an activated cortical area (ERD) and simultaneously deactivated or inhibited other areas.

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Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates.

Int J Psychophysiol

December 2001

Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology, Inffeldgasse 16a/11, 8010 Graz, Austria.

Oscillations in the alpha and beta band (<35 Hz) display a dynamic behavior and show characteristic spatiotemporal patterns in sensory, motor and cognitive tasks. The event-related desynchronization (ERD) of alpha band and beta rhythms can be seen as a correlate of an activated cortical area with an increased excitability level of neurons. An event-related synchronization (ERS) of frequency components between 10 and 13 Hz may represent a deactivated cortical area or inhibited cortical network, at least under certain circumstances.

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Evidence for distinct beta resonance frequencies in human EEG related to specific sensorimotor cortical areas.

Clin Neurophysiol

November 2001

Department of Medical Informatics, Institute for Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Graz University of Technology, Inffelfgasse 16a/II, A-8010, Graz, Austria.

Objective: We studied event-related synchronization (ERS) of beta rhythms related to voluntary movement vs. stimulation of upper and lower limbs. The aim of this study was to investigate whether the frequency of the beta response is related to specific regions within the sensorimotor strip.

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Functional brain imaging based on ERD/ERS.

Vision Res

June 2001

Department of Medical Informatics, Institute of Biomedical Engineering and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, University of Technology Graz, Inffeldgasse 16a/II, A-8010, Graz, Austria.

Sensory, cognitive and motor processing can result in changes of the ongoing EEG in form of an event-related desynchronization (ERD) or event-related synchronization (ERS). Both phenomena are time-locked but not phase-locked to the event and they are highly frequency-band specific. The ERD is interpreted as a correlate of an activated cortical area with increased excitability and the ERS in the alpha and lower beta bands can be interpreted, at least under certain circumstances, as a correlate of a deactivated cortical area.

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A new communication channel for severely handicapped people could be opened with a direct brain to computer interface (BCI). Such a system classifies electrical brain signals online. In a series of training sessions, where electroencephalograph (EEG) signals are recorded on the intact scalp, a classifier is trained to discriminate a limited number of different brain states.

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Visually guided motor imagery activates sensorimotor areas in humans.

Neurosci Lett

July 1999

Department of Medical Informatics, and Ludwig Boltzmann Institute for Medical Informatics and Neuroinformatics, Technical University Graz, Austria.

Stimulus-related changes in ongoing electroencephalography (EEG) over sensorimotor areas were investigated during a visually cued motor imagery task. Four subjects were instructed to imagine one-sided hand movements in response to visual cue stimuli. The EEG was recorded from central areas using 27 electrodes set at distances of 2.

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