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Gert Pfurtscheller

Researcher at Graz University of Technology

Publications -  510
Citations -  68013

Gert Pfurtscheller is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Electroencephalography & Brain–computer interface. The author has an hindex of 117, co-authored 507 publications receiving 62873 citations. Previous affiliations of Gert Pfurtscheller include University of Graz.

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EEG-based communication: presence of an error potential

TL;DR: This study compared the EEG immediately after correct target selection to that after incorrect selection to suggest that this error potential might provide a method for detecting and voiding errors that requires no additional time and could thereby improve the speed and accuracy of EEG-based communication.
Book

Event-Related Desynchronization

TL;DR: This work states that ERD and ERS in voluntary movement of different limbs and their physiological origins in the waking EEG: a theoretical integration with implications for event-related EEG responses, and Cognitive Processing and ERD/ERS.
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Evidence for distinct beta resonance frequencies in human EEG related to specific sensorimotor cortical areas

TL;DR: Analyzing the frequency of induced beta activity revealed concomitant oscillations at slightly different frequencies over neighboring cortical areas that might be indicative for a resonance-like behavior of connected sub-networks in sensorimotor areas.
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Event-related beta synchronization after wrist, finger and thumb movement

TL;DR: While a similar mu ERD was found during motor preparation for the 3 movement tasks, significant differences concerning beta synchronization were observed after movement off set, suggesting the post-movement beta synchronization might depend on the activated muscle mass.
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Event-related coherence as a tool for studying dynamic interaction of brain regions ☆

TL;DR: A simple approach to calculating time courses of coherence for data recorded during an event-related paradigm was demonstrated and it was demonstrated that ERCoh can provide information regarding the dynamic interaction of spatially separated brain regions.