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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Cited by
Sorted by citations
Items 501–600 of 756
Heart rate variability predicts decline in sensorimotor rhythm control
Nann, M., Haslacher, D., Colucci, A., Eskofier, B. M., von Tscharner, V., & Soekadar, S. R. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac1177 · Cited by 11
Bösel, R., Mecklinger, A., & Stolpe, R. (1990) · Biological Psychology · doi:10.1016/0301-0511(90)90038-x · Cited by 10
Dharwarkar, G. S., & Basir, O. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1615692 · Cited by 10
“Motor imagery is accompanied by a contra-lateral attenuation in the alpha and lower beta bands known as an event-related desynchronization (ERD) [1].”
BackgroundShi, Q., Gong, A., Ding, P., Wang, F., & Fu, Y. (2023) · Brain Sciences · doi:10.3390/brainsci13121702 · Cited by 9
“…the changes in event-related EEG power, we calculated the ERD/ERS characteristics of the subjects in the theta, alpha, and beta bands under three conditions [17,18]; the formula is as follows: The EEG signals were divided into four time windows ( − 4– − 3 s, − 3– − 2 s, − 2– − 1 s, and − 1–0 s).”
MethodVagaja, K., Linkenkaer‐Hansen, K., & Vourvopoulos, A. (2024) · Frontiers in Virtual Reality · doi:10.3389/frvir.2023.1265010 · Cited by 10
Manifold-based multi-branch transfer learning for MI-EEG decoding
Li, H., An, J., Juan, R., Benko, T. P., Perc, M., Dang, W., & Gao, Z. (2025) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2025.116326 · Cited by 9
Singh, A. K., Dhalayat, K., Dhobale, S. V., Ghosh, B., Datta, A., Borah, A., & Bhattacharya, P. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102780 · Cited by 9
Exploring Horizontally Flipped Interaction in Virtual Reality for Improving Spatial Ability
Bozgeyikli, L. “., Bozgeyikli, E., Schnell, C., & Clark, J. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3320241 · Cited by 9
“During voluntary movement, an increased magnitude of alpha ERD is expected to be observed [71]−[75].”
BackgroundBrain-robot control interface: Development and application
Prataksita, N., Lin, Y.-T., Chou, H.-C., & Kuo, C. (2014) · International Symposium on Bioelectronics and Bioinformatics (ISBB) · doi:10.1109/isbb.2014.6820928 · Cited by 9
“Some study used mu rhythm, defined as an 8-12 Hz band recorded over sensory motor cortex, that decreases or desynchronizes along with motor movement [3], [4].”
MethodLinking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements
Amengual, J., Marco-Pallarés, J., Grau, C., Münte, T., & Rodríguez-Fornells, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00271 · Cited by 10
“…the preparation and execution of voluntary movements, a characteristic modulation of the oscillatory brain activity power within the beta (17–24 Hz) and the mu (8–13 Hz) bands has been largely described (Pfurtscheller and Aranibar, 1977, 1979; Pfurtscheller et al., 2003; Jurkiewicz et al., 2006).”
BackgroundResultDaltrozzo, J., Kotchoubey, B., Gueler, F., & Karim, A. A. (2016) · Brain Topography · doi:10.1007/s10548-016-0496-0 · Cited by 9
Classification of Motor Imagery Tasks Using Inter Trial Variance In The Brain Computer Interface
Shahlaei, F., Bagh, N., Shaligram, A. D., Reddy, M. R., & Zambare, M. S. (2018) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2018.8438648 · Cited by 9
“synchronization (ERS) is referred to event-related localized amplitude enhancement within mu and beta frequency bands [3].”
BackgroundTemporal cuing modulates alpha oscillations during auditory attentional blink
Shen, D., Roß, B., & Alain, C. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13266 · Cited by 9
“Commonly, an increase and decrease in spectral power is respectively called event-related synchronization and event-related desynchronization (Pfurtscheller & Aranibar, 1979; Pfurtscheller & Lope da Silva, 1999; Herrmann et al., 2005).”
BackgroundLaterality Coefficient: An EEG parameter related with the functional improvement in stroke patients
Sebastián-Romagosa, M., Ortner, R., Udina, E., Dinarès-Ferran, J., Mayr, K., Cao, F., & Guger, C. (2019) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi.2019.8834472 · Cited by 9
“When the imagery period is finished, the contralateral motor cortex restores the synchronization state (event-related synchronization or ERS) and increases again the amplitude of the EEG [3]–[5].”
BackgroundChildren’s mu suppression is sensitive to witnessing others’ social victimization
Fraser, A. M., Hampton, R. S., Spinrad, T. L., Varnum, M. E. W., Blais, C., Eisenberg, N., Gal‐Szabo, D. E., Berger, R. H., Xu, J., & Xiao, S. X. (2020) · Social Neuroscience · doi:10.1080/17470919.2020.1722220 · Cited by 9
“…(Berchicci et al., 2011), is linked to activation of the sensorimotor cortex (Arnett, Roach, Elzy, & JelsoneSwain, 2019; Hari, 2006; Kuhlman, 1978; Pfurtscheller & Aranibar, 1979) and specifically, a mirror neuron system (MNS) that responds to action observation in the absence of motor activity…”
BackgroundShall I Move My Right or My Left Hand?
Babiloni, C., Babiloni, F., Carducci, F., Febo Cincotti, A., Percio, C. D., Hallett, M., Kelso, A. S., Moretti, D. V., Liepert, J., & Rossini, P. M. (2003) · Journal of Psychophysiology · doi:10.1027//0269-8803.17.2.69 · Cited by 9
Analysis and visualization of ERD and ERS with adapted local cosine transform
Ince, N. F., & Arıca, S. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1403152 · Cited by 9
“Pfurtscheller and Aranibar first quantified ERD and ERS via power measurement [1].”
MethodEilbeigi, E., & Setarehdan, S. K. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2018.05.024 · Cited by 7
Prefrontal-subthalamic theta signaling mediates delayed responses during conflict processing
Choi, J. W., Malekmohammadi, M., Niketeghad, S., Cross, K. A., Ebadi, H., Alijanpourotaghsara, A., Aron, A. R., Rutishauser, U., & Pouratian, N. (2024) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2024.102613 · Cited by 8
Non–human primate epidural ECoG analysis using explainable deep learning technology
Choi, H., Lim, S., Min, K., Ahn, K.-H., Lee, K., & Jang, D. P. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac3314 · Cited by 8
Henderson, J., Mari, T., Hewitt, D., Newton‐Fenner, A., Hopkinson, A., Giesbrecht, T., Marshall, A., Stančák, A., & Fallon, N. B. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16101 · Cited by 8
Sakamaki, I., Tavakoli, M., Wiebe, S. A., & Adams, K. D. (2022) · Brain-Computer Interfaces · doi:10.1080/2326263x.2022.2114225 · Cited by 9
Time–frequency microstructure and statistical significance of ERD and ERS
Durka, P. J. (2006) · Progress in brain research · doi:10.1016/s0079-6123(06)59008-9 · Cited by 8
Spaccasassi, C., Dijkerman, H. C., Maravita, A., Ferrante, O., & de Jong, M. C. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01749 · Cited by 8
“…the contralateral hemisphere (motor imagery: Nam, Jeon, Kim, Lee, & Park, 2011; McFarland et al., 2000; tactile expectation: van Ede et al., 2010, 2011; response preparation: Deiber et al., 2012), though not under all circumstances (Pfurtscheller & Berghold, 1989; Pfurtscheller & Aranibar, 1979).”
Crone, N. E., & Lei, H. (2002) · Supplements to Clinical neurophysiology · doi:10.1016/s1567-424x(09)70484-2 · Cited by 8
ResearchArticle Towards Development of a 3-State Self-Paced Brain-Computer Interface
Bashashati, A., Ward, R. K., & Birch, G. E. (2007) · Cited by 7
Decoding of two hand grasping types from EEG
Iturrate, I., Leeb, R., Chavarriaga, R., & Millán, J. D. R. (2020) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · doi:10.3217/978-3-85125-467-9-66 · Cited by 7
“Results: EEG was recorded using a BioSemi system with 64 electrodes and non-casual filtered in the [1-6] Hz following previous results with ECoG [3].”
BackgroundMethodShahlaei, F., Bagh, N., Zambare, M. S., & Reddy, M. R. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106863 · Cited by 7
Event-related desynchronization and synchronization in evoked K-complexes
Żygierewicz, J., Malinowska, U., Suffczyński, P., Piotrowski, T., & Durka, P. J. (2009) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-2009-1749 · Cited by 7
“…phase-locked and non phase-locked responses was made possible by the introduction of Event Related Synchronization (ERS) and Desynchronization (ERD) (Pfurtscheller and Arnibar 1979), which can be estimated as relative changes of mean spectral power in a given frequency band induced by an event.”
BackgroundMethodSignal Processing for Brain-computer Interface: Enhance Feature Extraction and Classification
Zhang, H., Guan, C., & Li, Y. (2006) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2006.1692910 · Cited by 7
Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI
Won, K., Kwon, M., Ahn, M., & Jun, S. C. (2021) · Sensors · doi:10.3390/s21165436 · Cited by 7
“…activations around electrodes on the left motor cortex (C3) and right motor cortex (C4), which are consistent with the neurophysiological findings [31,32]. pools created at α = 0.005 showed clear contralateral activations around electrodes on the left motor cortex (C3) and right motor cortex…”
BackgroundResultInfluentialMehler, D. M. A. (2022) · Brain-Apparatus Communication A Journal of Bacomics · doi:10.1080/27706710.2022.2061300 · Cited by 9
Albanese, G. A., Marini, F., Morasso, P., Campus, C., & Zenzeri, J. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2023.1000832 · Cited by 7
“We considered the (8, 12 Hz) frequency band whose power decreases, or desynchronizes, during movements (Pfurtscheller and Aranibar, 1979; Niedermeyer, 1997; McFarland et al., 2000).”
BackgroundMethodPhillips, C. M., Kline, J. E., Stanley, C. J., Bulea, T. C., & Damiano, D. L. (2023) · Neurorehabilitation and neural repair · doi:10.1177/15459683231195044 · Cited by 7
“Motor-related EEG research primarily focuses on the sensorimotor or mu rhythm, which is comprised of alpha (8-13 Hz) 13,14 and beta (15-30 Hz) 15,16 frequency bands that fluctuate in power during a motor task such as reach-to-grasp.”
Evaluation of the continuous detection of mental calculation episodes as a BCI control input
Bojorges-Valdez, E., Echeverría, J. C., & Yáñez-Suárez, Ó. (2015) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2015.06.014 · Cited by 7
“The EEG signals were processed using sliding windows of two seconds length to estimate the power spectral density over the beta band (βPSD [14–35] Hz), and the scaling exponent (αSE) obtained via detrended fluctuation analysis within scales covering the 20–500 ms range.”
BackgroundMethodInfluentialKo, Y.-T., Cheng, S.-K., & Juan, C.-H. (2014) · Psychological Research · doi:10.1007/s00426-014-0567-3 · Cited by 7
Edlinger, G., Rizzo, C., & Guger, C. (2011) · Springer eBooks · doi:10.1007/978-3-540-74658-4_52 · Cited by 7
Can BCI Paradigms Induce Feelings of Agency and Responsibility Over Movements?
Nierula, B., & Sanchez-Vives, M. V. (2019) · Springer briefs in electrical and computer engineering · doi:10.1007/978-3-030-05668-1_10 · Cited by 7
Effect of Auditory Discrimination Therapy on Attentional Processes of Tinnitus Patients
Rodríguez-León, I. G., Alonso-Valerdi, L. M., Salido-Ruiz, R. A., Román-Godínez, I., Ibarra-Zárate, D. I., & Torres-Ramos, S. (2022) · Sensors · doi:10.3390/s22030937 · Cited by 7
Żygierewicz, J., Sielużycki, C., König, R., & Durka, P. J. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.09.026 · Cited by 7
Artieda, J., Alegre, M., Valencia, M., Urrestarazu, E., Pérez-Alcázar, M., Nicolás, M. J., Azcárate, J. L. P., & Iriarte, J. (2010) · Anales del Sistema Sanitario de Navarra · doi:10.23938/assn.0150 · Cited by 7
Turak, B., Louvel, J., Buser, P., & Lamarche, M. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00652-6 · Cited by 7
Yue, Y., & Wang, L. (2024) · Current Psychology · doi:10.1007/s12144-024-06119-w · Cited by 6
“Typically, decreased Mu power indicates active motor neurons in participants, signifying imitation of others’ actions (Kuhlman, 1978; Pfurtscheller & Aranibar, 1979).”
Vourvopoulos, A., Fleury, M., Blanco-Mora, D. A., Fernandes, J.-C., Figueiredo, P. ́., & Badia, S. B. I. (2024) · Brain-Computer Interfaces · doi:10.1080/2326263x.2024.2409463 · Cited by 6
Ghosh, S., Yadav, R. K., Soni, S., Giri, S., Muthukrishnan, S. P., Kumar, L., Bhasin, S., & Roy, S. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1532783 · Cited by 7
Rizzo, M., Percio, C. D., Petrini, L., Lopez, S., Arendt‐Nielsen, L., & Babiloni, C. (2023) · Psychophysiology · doi:10.1111/psyp.14281 · Cited by 6
The impact of body posture on intrinsic brain activity: The role of beta power at rest
Donno, B., Migliorati, D., Zappasodi, F., Perrucci, M. G., & Costantini, M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0218977 · Cited by 6
“Moreover, interestingly strong pieces of evidence have shown that the intrinsic 103 activity plays a key role in perceptual processes [13] involving high-frequency bands 104 (i.”
BackgroundPark, S. A., Jeong, S., & Jeong, J. (2013) · Social Neuroscience · doi:10.1080/17470919.2013.835280 · Cited by 6
“EEG time/frequency and power spectrum analysis Event-related spectral perturbation (ERSP) has been utilized in EEG time–frequency analyses to assess event-related spectral amplitudes, phase, and coherence perturbations in EEG data sets (Pfurtscheller & Aranibar, 1979).”
MethodMotor Imagery Driven BCI with Cue-Based Selection of FES Induced Grasps
Savić, A. M., Malešević, N. B., & Popović, M. B. (2013) · Biosystems & biorobotics · doi:10.1007/978-3-642-34546-3_82 · Cited by 6
Frequency-dependent oscillatory neural profiles during imitation
Sugata, H., Hirata, M., Tamura, Y., Onishi, H., Goto, T., Araki, T., & Yorifuji, S. (2017) · Scientific Reports · doi:10.1038/srep45806 · Cited by 6
Byrne, A., Kokmotou, K., Roberts, H., Soto, V., Tyson‐Carr, J., Hewitt, D., Giesbrecht, T., & Stančák, A. (2020) · Experimental Brain Research · doi:10.1007/s00221-020-05825-8 · Cited by 6
Cognitive Processing of Sound Effects in Television Sports Broadcasting
Kwon, Y.-S., & Lee, S. (2019) · Journal of Radio & Audio Media · doi:10.1080/19376529.2018.1541899 · Cited by 6
“…is an index of motor resonance (Kilner, Neal, Weiskopf, Friston, & Frith, 2009; Kosonogov, 2011; Muthukumaraswamy, Johnson, & McNair, 2004; Oberman et al., 2005, 2007; Pineda, 2005) that is measured through the neural activity of the mu rhythm (Kuhlman, 1978; Pfurtscheller & Aranibar, 1979).”
BackgroundYamanaka, K., & Nozaki, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0082272 · Cited by 6
Oscillatory Cortical Changes During Periodic Limb Movements
Iriarte, J., Urrestarazu, E., Alegre, M., Valencia, M., & Artieda, J. (2004) · SLEEP · doi:10.1093/sleep/27.8.1493 · Cited by 6
Event-Related Desynchronization (ERD) and 40-Hz Oscillations in a Simple Movement Task
Pfurtscheller, G. (1994) · Springer eBooks · doi:10.1007/978-1-4899-1307-4_25 · Cited by 6
Self-citationMagnetic source images of human brain functions
Gençer, N. G., & Williamson, S. J. (1997) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200570 · Cited by 6
Gated parallel feature fusion multi-task learning for motor imagery EEG classification
Wang, X., Liesaputra, V., & Huang, Z. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.128678 · Cited by 5
Zhong, Y., Wang, Y., Farina, D., & Yao, L. (2025) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2025.3560713 · Cited by 7
“Motor imagery induces a desynchronization of mu and beta rhythms in the EEG [9], known as Event-Related Desynchro-nization(ERD)[10].”
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity
El-Zghir, R. K., Gabay, N. C., & Robinson, P. A. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1335130 · Cited by 5
Topographic EEG Analysis in Two Patients with Basilar Thrombosis
Kamondi, A., & Szirmai, I. G. (1993) · Clinical Electroencephalography · doi:10.1177/155005949302400312 · Cited by 5
Toppi, J., Petti, M., Mattia, D., Babiloni, F., & Astolfi, L. (2014) · Neuromethods · doi:10.1007/7657_2014_69 · Cited by 5
High performance wearable two-channel hybrid BCI system with eye closure assist
Jiang, Y., Lee, H., Li, G., & Chung, W. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7592063 · Cited by 5
“By following the standard ERD/ERS computing method proposed in study [13], ERD/ERS is quantified through: (1) band-pass filtering in 8-13Hz of one 8-s data, (2) using short-time Fourier transform (STFT) to obtain power samples from amplitude samples, (3) calculating relative power value (ERD) according to Equation (2)…”
MethodStančák, A. (2000) · Supplements to Clinical neurophysiology · doi:10.1016/s1567-424x(09)70160-6 · Cited by 5
Sandhya, B., Shendkar, C., & Mahadevappa, M. (2014) · International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) · doi:10.1109/medcom.2014.7006026 · Cited by 5
“By following the standard ERD/ERS calculation of Pfurtscheller and Aranibar[12], ERD/ERS was quantified by”
BackgroundMethodInfluentialEvent-related Desynchronization of Mu Rhythms During Concentric and Eccentric Contractions
Park, J., Cynn, H., Cha, K. S., Kim, K. H., & Jeon, H. (2017) · Journal of Motor Behavior · doi:10.1080/00222895.2017.1367638 · Cited by 5
Portin, K., Kajola, M., & Salmelin, R. H. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00272-3 · Cited by 5
Lamarche, M., Louvel, J., & Buser, P. (1998) · Cortex · doi:10.1016/s0010-9452(08)70754-8 · Cited by 5
α-Band oscillations in intracellular membrane potentials of dentate gyrus neurons in awake rodentsPreprint
Anderson, R. W., & Strowbridge, B. W. (2014) · Learning & Memory · doi:10.1101/lm.036269.114 · Cited by 5
“3C) is consistent with a connection to motor planning networks in parietal cortex (Pfurtscheller and Aranibar 1979; Capotosto et al. 2009; Kerr et al. 2011).”
BackgroundSamson-Dollfus, D., Tsouria, Z., Bertoldi, I., DREANO, E., & Doris, J. Y. (1986) · Elsevier eBooks · doi:10.1016/b978-0-409-90008-8.50014-6 · Cited by 5
Aperiodic Brain Activity Modulates Corticospinal Excitability
Jin, J., Wang, X., Zhao, X., Wang, H., Li, Y., Liu, Z., & Yin, T. (2025) · Neuroscience Bulletin · doi:10.1007/s12264-025-01559-1 · Cited by 4
“Alpha and beta oscillations constitute the most prominent rhythm in the frequency spectrum of the sensorimotor cortex [4, 5] and arise from synchronous postsynaptic potentials of pyramidal neurons in the sensorimotor cortex and are functionally related to motor behavior [6–8].”
Differences in Mu rhythm when seeing grasping/motor actions in a real context versus on screens
Andreu-Sánchez, C., Martín-Pascual, M. Á., Gruart, A., & Delgado-Garcia, J. M. (2024) · Scientific Reports · doi:10.1038/s41598-024-74453-x · Cited by 5
Decoding Electroencephalography Underlying Natural Grasp Tasks across Multiple Dimensions
Gu, H., Wang, J., Jiao, F., Han, Y., Xu, W., & Zhao, X. (2023) · Electronics · doi:10.3390/electronics12183894 · Cited by 3
Morrone, J. M., & Pedlar, C. R. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108854 · Cited by 4
“…band event-related changes were quantified as the percentage changes in frequency specific PSD values of active task intervals (i.e., drawing task compared to the baseline (i.e., waking-rest) condition; Pfurtscheller et al., 1997; Pfurtscheller and Aranibar, 1979; Pfurtscheller and Neuper, 1994).”
Variable Down-Selection for Brain-Computer Interfaces
Dias, N. S., Kamrunnahar, M., Mendes, P. M., Schiff, S. J., & Correia, J. H. (2010) · Communications in computer and information science · doi:10.1007/978-3-642-11721-3_12 · Cited by 4
Individual optimization of EEG channel and frequency ranges by means of genetic algorithm
Lee, C., Jung, J., Kwon, G. H., & Kim, L. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6347188 · Cited by 4
“In general, most studies involving a brain-computer interface (BCI) reported a short lasting block/decrease of the frequency power or event-related desynchronization (ERD) in the sensory motor rhythm (SMR) band (8-12 Hz) and in the beta band (13-30 Hz), with a time of only a few seconds as a result of self-paced motor…”
BackgroundWeber, P., Kozel, N., Purgstaller, C., Kargl, R., Schwab, D., & Fink, A. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.11.010 · Cited by 4
“Eventrelated desynchronization (%ERD; Pfurtscheller & Aranibar, 1979) describes a short-lasting and localized attenuation or blocking of rhythmic oscillatory activity (decrease) linked to an internally or externally-paced event (e.g. experimental task).”
Catrambone, V., Greco, A., Averta, G., Bianchi, M., Vanello, N., Bicchi, A., Valenza, G., & Scilingo, E. P. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512239 · Cited by 4
Choi, J. W., Cha, K. S., & Kim, K. H. (2019) · Computational Intelligence and Neuroscience · doi:10.1155/2019/7084186 · Cited by 4
“Two approaches have been pursued for the intention decoding for BCI: (1) using voluntary self-regulation of specific brain signals such as slow cortical potential [41] and sensorimotor rhythms [42]; (2) using evoked brain activities such as P300 ERP [43, 44] and steady-state evoked potential [45, 46].”
MethodBinaural Background Noise Enhances Neuromagnetic Responses from Auditory Cortex
Shen, D., Alain, C., & Roß, B. (2021) · Symmetry · doi:10.3390/sym13091748 · Cited by 4
“The increase and decrease in spectral power compared to a baseline interval were called event-related synchronization (ERS) and event-related desynchronization (ERD), respectively [38,39].”
BackgroundGroup based Swarm evolution algorithm (GSEA) driven mental task classifier
Agarwal, S. K., Shah, S., & Kumar, R. (2015) · Memetic Computing · doi:10.1007/s12293-015-0155-0 · Cited by 4
Prediction of specific hand movements using electroencephalographic signals
Márquez-Chin, C., Atwell, K., & Popović, M. R. (2017) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2017.1369215 · Cited by 4
Flüthmann, N., Kato, K., Bloch, O., Kanosue, K., & Vogt, T. (2018) · Experimental Brain Research · doi:10.1007/s00221-018-5401-5 · Cited by 4
Interacting with the Environment through Non-invasive Brain-Computer Interfaces
Febo Cincotti, A., Quitadamo, L. R., Fabio Aloise, A., Bianchi, L., Babiloni, F., & Donatella Mattia, A. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-02710-9_53 · Cited by 4
Devos, D., Labyt, É., Cassim, F., Bourriez, J. L., Blond, S., Destée, A., Derambure, P., & Defebvre, L. (2005) · Revue Neurologique · doi:10.1016/s0035-3787(05)85171-9 · Cited by 4
Using Temporal Evidence and Fusion of Time-Frequency Features for Brain- Computer Interfacing
Dharwarkar, G. S. (2005) · Cited by 4
Aggregating Classification Accuracy across Time: Application to Single Trial EEG
Lemm, S., Schäfer, C., & Curio, G. (2007) · The MIT Press eBooks · doi:10.7551/mitpress/7503.003.0108 · Cited by 4
Task-irrelevant alpha component analysis in motor imagery based brain computer interface
Lou, B., Hong, B., & Gao, S. (2008) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2008.4649329 · Cited by 4
Myoklonus — motorisches Elementarphänomen bei gestörter zentraler Erregbarkeit
Janzen, R. W. C. (1980) · Verhandlungen der Deutschen Gesellschaft für Neurologie · doi:10.1007/978-3-662-09220-0_5 · Cited by 4
An attention-based multiple band interaction network for motor imagery EEG decoding
Dang, W., Zhang, K., Li, H., Lv, D., Guo, W., & Gao, Z. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113750 · Cited by 3
Personalized real-time inference of momentary excitability from human EEG
Haxel, L., Ahola, O., Kapoor, J., Ziemann, U., & Macke, J. H. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121547 · Cited by 3
Hybrid Brain/Neural Exoskeleton Enables Bimanual ADL Training in Routine Stroke Rehabilitation
Colucci, A., Vermehren, M., Angerhöfer, C., Peekhaus, N., Kim, W., Chang, W. K., Hömberg, V., Paik, N., & Soekadar, S. R. (2025) · Stroke · doi:10.1161/strokeaha.125.052008 · Cited by 4
“19 Downmodulation of sensorimotor rhythms (SMR) occurring during movement imagination/attempt, as measured by event-related desynchronization (ERD) 20 was evaluated in real-time.”
Digit Recognition System Using EEG Signal
Deore, R. S., Gawali, B. W., & Mehrotra, S. C. (2014) · Intelligent systems reference library · doi:10.1007/978-3-319-10978-7_14 · Cited by 3
Self-paced vs. cue-based motor task: The difference in cortical activity
Savić, A. M., Niazi, I. K., & Popović, M. B. (2011) · Telecommunications Forum (TELFOR) · doi:10.1109/telfor.2011.6143887 · Cited by 3
VMD-WSST: A Combined BCI Algorithm to Predict Self-paced Gait Intention*
Hasan, S. M. S., & Bai, O. (2021) · IEEE International Conference on Systems, Man and Cybernetics · doi:10.1109/smc52423.2021.9658856 · Cited by 4
“The most investigated neural phenomena in the recent studies are Event-Related Desynchronization (ERD) [8], [9], and Movement Related Cortical Potential (MRCP) [10].”
BackgroundLopes, J. B. P., Miziara, I. M., Kahani, D., Parreira, R. B., Fonseca, D. R. P., Lazzari, R. D., Cordeiro, L. B., Naves, E. L. M., Cimolin, V., Galli, M., et al. (2022) · Physiotherapy Theory and Practice · doi:10.1080/09593985.2022.2147808 · Cited by 3
“These phenomena are in agreement with data described in previous studies involving participants with typical development (Brovelli, Battaglini, Naranjo, and Budai, 2002; Leocani et al., 1997; Pfurtscheller and Aranibar, 1979; Stancák and Pfurtscheller, 1996).”
ResultHewitt, D., Byrne, A., Henderson, J. R., Wilford, K., Chawla, R., Sharma, M. L., Frank, B., Fallon, N. B., Brown, C. A., & Stančák, A. (2022) · Neuromodulation Technology at the Neural Interface · doi:10.1016/j.neurom.2022.11.001 · Cited by 3
Irastorza-Landa, N., Sarasola-Sanz, A., Bibián, C., Ray, A. M., Insausti-Delgado, A., Helmhold, F., Mahmoud, W. J., Ortego-Isasa, I., López‐Larraz, E., & Ramos‐Murguialday, A. (2023) · Handbook of Neuroengineering · doi:10.1007/978-981-16-5540-1_120 · Cited by 3
Attention and Concentration for Software Developers
Amirova, R., Dlamini, G., Repryntseva, A., Succi, G., & Tarasau, H. (2023) · IEEE Access · doi:10.1109/access.2023.3309414 · Cited by 3
“used as an indicator of mental workload [15].”
MethodRizzo, M., Petrini, L., Percio, C. D., Arendt‐Nielsen, L., & Babiloni, C. (2024) · Brain Sciences · doi:10.3390/brainsci14070696 · Cited by 2
PMSA-Net: A parallel multi-scale attention network for MI-BCI classification
Cui, M., Chen, T., Jiao, Y., Zheng, Q., Pan, Y. F., & Xie, L. (2024) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3698587.3701382 · Cited by 3
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review