The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement
Abstract
A method of accurate storage and on-line preprocessing of an EEG signal, preceding and following a trigger signal, elicited by button pressing, is described. The method was used to study the changes occurring in the power of the rhythmic activity within the alpha band in central areas, during voluntary, self-paced movement in 10 normal humans. A short-lasting decrease or phasic event-related desynchronization (ERD) of alpha power, representing mu activity, was observed in all 10 subjects. During the 2 sec period preceding movement the phasic ERD was mostly bilateral, but larger prior to right than to left thumb movement. At onset and during the first second of execution of movement, the phasic ERD was mostly bilateral but predominant in ipsilateral areas. Preceding or during movement, maximum ERD was observed in most cases in central-vertex regions.
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“It is known that the amplitudes, for example of the alpha, beta and gamma bands, provide class‐discriminative information for motor tasks [Ball et al., 2008; Pfurtscheller, 1981; Pfurtscheller and Aranibar, 1979].”
From Deep learning with convolutional neural networks for EEG decoding and visualization (2017) · cites this paper as Pfurtscheller and Aranibar, 1979
Citations
Cites
Voluntary finger movement in man: Cerebral potentials and theory
Deecke, L., Gr�zinger, B., & Kornhuber, H. H. (1976) · Biological Cybernetics · doi:10.1007/bf00336013 · Cited by 757
Functional topography of the human mu rhythm
Kuhlman, W. N. (1978) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(78)90107-4 · Cited by 341
Attention, Voluntary Contraction and Event‐Related Cerebral Potentials
Lesser, R. P. (1978) · Neurology · doi:10.1212/wnl.28.7.739-a · Cited by 267
Graphical display and statistical evaluation of event-related desynchronization (ERD)
Pfurtscheller, G. (1977) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(77)90092-x · Cited by 257
Self-citationAttention, Voluntary Contraction and Event-Related Cerebral Potentials
Desmedt, J. E. (1977) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 205
Lack of bilateral coherence of mu rhythm
van Leeuwen, W. S., Wieneke, G. H., Spoelstra, P., & Versteeg, H. (1978) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(78)90260-2 · Cited by 84
Research works printed but not linked: 5
- Chatrian, 1976, The mu rhythm, Vol. 6A, 46
- Deecke, 1977, Cerebral potentials and the initiation of voluntary movement, Vol. 1, 132
- Gastaut, 1952, Etude d'une activité électroencéphalographique méconnue: le rythme rolandique en arceau, Marseille-méd., 89, 296
- Pfurtscheller, 1977, Occipital alpha during initiation of movement. IX. Int. Congress Amsterdam, Electroenceph. clin. Neurophysiol., 43, 486
- Schoppenhorst, 1977, Mu rhythm and its detection by coherence functions. IX Int. Congress Amsterdam, Electroenceph. clin. Neurophysiol., 43, 505
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Metadata
- Authors
- Pfurtscheller, G., & Aranibar, A.
- Affiliations
- University of Graz (AT)
- Venue
- Electroencephalography and Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 1979-02
- Volume
- 46
- Issue
- 2
- Pages
- 138-146
- ISSN
- 0013-4694 (ISSN-L)
- OpenAlex
- W2052684349
- Cited by
- 758
- References
- 6
- Citations by year
- 2026: 15 · 2025: 27 · 2024: 18 · 2023: 31 · 2022: 25 · 2021: 39 · 2020: 38 · 2019: 41 · 2018: 39 · 2017: 33 · 2016: 34 · 2015: 24 · 2014: 34 · 2013: 21 · 2012: 25
- FWCI
- 1.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electroencephalography and Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Keywords
- event-related desynchronization, mu rhythm, alpha band, EEG preprocessing, thumb movement, motor cortex
- MeSH terms
- Adult, Alpha Rhythm, Brain, Computers, Cortical Synchronization, Electroencephalography, Female, Humans, Functional Laterality, Male, Movement
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