The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Movement related activity in the high gamma range of the human EEG
Open accessAbstract
Electrocorticographic (ECoG) recordings obtained using intracranially implanted electrodes in epilepsy patients indicate that high gamma band (HGB) activity of sensorimotor cortex is focally increased during voluntary movement. These movement related HGB modulations may play an important role in sensorimotor cortex function. It is however currently not clear to what extent this type of neural activity can be detected using non-invasive electroencephalography (EEG) and how similar HGB responses in healthy human subjects are to those observed in epilepsy patients. Using the same arm reaching task, we have investigated spectral power changes both in intracranial ECoG recordings in epilepsy patients and in non-invasive EEG recordings optimized for detecting HGB activity in healthy subjects. Our results show a common HGB response pattern both in ECoG and EEG recorded above the sensorimotor cortex contralateral to the side of arm movement. In both cases, HGB activity increased around movement onset in the 60-90 Hz range and became most pronounced at reaching movement end. Additionally, we found EEG HGB activity above the frontal midline possibly generated by the anterior supplementary motor area (SMA), a region that was however not covered by the intracranial electrodes used in the present study. In summary, our findings show that HGB activity from human sensorimotor cortex can be non-invasively detected in healthy subjects using EEG, opening a new perspective for investigating the role of high gamma range neuronal activity both in function and dysfunction of the human cortical sensorimotor network.
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 Ball et al., 2008
Citations
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.034 · Cited by 4,033
Electroencephalography—Basic principles, clinical applications and related fields
(1982) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(82)90067-4 · Cited by 3,449
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650
Wavelet methods for time series analysis
Percival, D. B., & Walden, A. T. (2001) · Choice Reviews Online · doi:10.5860/choice.38-4508 · Cited by 2,570
Electroencephalography: Basic Principles, Clinical Applications and Related Fields
Torres, F. (1983) · Archives of Neurology · doi:10.1001/archneur.1983.04050030085025 · Cited by 1,825
Okamoto, M., Dan, H., Sakamoto, K., Takeo, K., Shimizu, K., Kohno, S., Oda, I., Isobe, S., Suzuki, T., Kohyama, K., et al. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.08.026 · Cited by 1,320
A brain–computer interface using electrocorticographic signals in humans
Leuthardt, E. C., Schalk, G., Wolpaw, J. R., Ojemann, J. G., & Moran, D. W. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/2/001 · Cited by 1,188
Crone, N. (1998) · Brain · doi:10.1093/brain/121.12.2301 · Cited by 1,044
Flagged first, then by citations
Research works printed but not linked: 1
- Ball, 2004, Towards a brain-machine interface based on epicortical field potentials, Biomed. Eng. (Berlin), 49, 756
Cited by
Sorted by citations
Items 101–200 of 272
Fingelkurts, A. A., & Fingelkurts, A. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087507 · Cited by 34
Petersson, P., Halje, P., & Cenci, M. A. (2018) · Journal of Parkinson s Disease · doi:10.3233/jpd-181480 · Cited by 33
Alpha frequency modulation in the human basal ganglia is dependent on motor task
Singh, A. P., Levin, J., Mehrkens, J. H., & Bötzel, K. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07577.x · Cited by 32
Grosse‐Wentrup, M., & Schölkopf, B. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/056015 · Cited by 32
3D hand motion trajectory prediction from EEG mu and beta bandpower
Korik, A., Sosnik, R., Siddique, N. H., & Coyle, D. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.05.001 · Cited by 31
Derix, J., Iljina, O., Weiske, J., Schulze‐Bonhage, A., Aertsen, A., & Ball, T. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00383 · Cited by 29
Self-citationMultisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees
Agashe, H. A., Paek, A. Y., & Contreras-Vidal, J. L. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.04.016 · Cited by 32
Kuo, C., Luu, P., Morgan, K. K., Dow, M. W., Davey, C., Song, J., Malony, A. D., & Tucker, D. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112103 · Cited by 28
Including Measures of High Gamma Power Can Improve the Decoding of Natural Speech From EEG
Synigal, S. R., Teoh, E. S., & Lalor, E. C. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00130 · Cited by 28
Motor imagery based brain–computer interfaces
Scherer, R., & Vidaurre, C. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812892-3.00008-x · Cited by 30
Brain–computer interfaces for patients with disorders of consciousness
Gibson, R. M., Owen, A. M., & Cruse, D. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.04.003 · Cited by 29
Kern, M., Bert, S., Glanz, O., Schulze‐Bonhage, A., & Ball, T. (2019) · Communications Biology · doi:10.1038/s42003-019-0360-3 · Cited by 27
Self-citationJiang, T., Pellizzer, G., Asman, P., Bastos, D. C. A., Bhavsar, S., Tummala, S., Prabhu, S. S., & Ince, N. F. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00100 · Cited by 27
Kim, H., Yoo, S., & Lee, J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.049 · Cited by 26
Reliability of early cortical auditory gamma-band responses
Cervenka, M. C., Franaszczuk, P. J., Crone, N. E., Hong, B., Caffo, B. S., Bhatt, P., Lenz, F. A., & Boatman‐Reich, D. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.06.003 · Cited by 24
A Novel Method for Reducing the Effect of Tonic Muscle Activity on the Gamma Band of the Scalp EEG
Nottage, J. F., Morrison, P. D., Williams, S., & Ffytche, D. H. (2012) · Brain Topography · doi:10.1007/s10548-012-0255-9 · Cited by 26
Induced Gamma-Band Activity during Actual and Imaginary Movements: EEG Analysis
Usanos, C. A., Boquete, L., de Santiago, L., Barea, R., & Cavaliere-Ballesta, C. (2020) · Sensors · doi:10.3390/s20061545 · Cited by 27
Vaidya, M., Flint, R. D., Wang, P. T., Barry, A. J., Li, Y., Ghassemi, M., Tomic, G., Yao, J., Carmona, C., Mugler, E. M., et al. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2912298 · Cited by 24
Toward Deep Brain Monitoring with Superficial EEG Sensors Plus Neuromodulatory Focused Ultrasound
Darvas, F., Mehić, E., Caler, C. J., Ojemann, J. G., & Mourad, P. D. (2016) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2016.02.020 · Cited by 25
Inter-brain Synchronization in the Practice of Tibetan Monastic Debate
van Vugt, M. K., Pollock, J., Johnson, B., Gyatso, K., Norbu, N., Lodroe, T., Gyaltsen, T., Phuntsok, L., Thakchoe, J., Khechok, J., et al. (2020) · Mindfulness · doi:10.1007/s12671-020-01338-1 · Cited by 24
Noreika, V., Windt, J., Kern, M., Valli, K., Salonen, T., Parkkola, R. K., Revonsuo, A., Karim, A. A., Ball, T., & Lenggenhager, B. (2020) · Scientific Reports · doi:10.1038/s41598-020-63479-6 · Cited by 21
Steyrl, D., Kobler, R. J., & Muller-Putz, G. R. (2016) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2016.98034 · Cited by 23
Increased gamma band power during movement planning coincides with motor memory retrieval
Thürer, B., Stockinger, C., Focke, A., Putze, F., Schultz, T., & Stein, T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.008 · Cited by 24
Decoding Asynchronous Reaching in Electroencephalography Using Stacked Autoencoders
Pei, D., Burns, M. K., Chandramouli, R., & Vinjamuri, R. K. (2018) · IEEE Access · doi:10.1109/access.2018.2869687 · Cited by 22
Cruzat, J., Deco, G., Campo, A. T., Príncipe, A., Costa, A., Kringelbach, M. L., & Rocamora, R. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.064 · Cited by 21
Fujiwara, Y., Matsumoto, R., Nakae, T., Usami, K., Matsuhashi, M., Kikuchi, T., Yoshida, K., Kunieda, T., Miyamoto, S., Mima, T., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.058 · Cited by 21
Fiederer, L. D. J., Lahr, J., Vorwerk, J., Lucka, F. F., Aertsen, A., Wolters, C. H., Schulze‐Bonhage, A., & Ball, T. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2570743 · Cited by 19
Self-citationPrefrontal high gamma during a magnetoencephalographic working memory task
Carver, F. W., Rubinstein, D., Gerlich, A. H., Fradkin, S. I., Holroyd, T., & Coppola, R. (2018) · Human Brain Mapping · doi:10.1002/hbm.24489 · Cited by 20
Wilkins, K. B., Dewald, J., & Yao, J. (2020) · Scientific Reports · doi:10.1038/s41598-020-64179-x · Cited by 15
Fracasso, A., Gaglianese, A., Vansteensel, M. J., Aarnoutse, E. J., Ramsey, N. F., Dumoulin, S. O., & Petridou, N. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02342-4 · Cited by 19
Cortical High-Gamma Responses in Auditory Processing
Cervenka, M. C., Nagle, S., & Boatman‐Reich, D. (2011) · American Journal of Audiology · doi:10.1044/1059-0889(2011/10-0036 · Cited by 19
Pitfalls in Scalp High-Frequency Oscillation Detection From Long-Term EEG Monitoring
Gerner, N., Thomschewski, A. C., Marcu, A., Trinka, E., & Höller, Y. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00432 · Cited by 19
Neural Networks and Neurofeedback in Parkinson’s Disease
Esmail, S., & Linden, D. E. J. (2014) · NeuroRegulation · doi:10.15540/nr.1.3-4.240 · Cited by 19
A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains
Schrader, S., Diesmann, M., & Morrison, A. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2010.00154 · Cited by 20
Statistical Pattern Recognition and Machine Learning in Brain–Computer Interfaces
Rao, R. P. N., & Scherer, R. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-375027-3.00010-7 · Cited by 21
Wagner, J., Schaper, M., Hamel, W., Westphal, M., Gerloff, C. P., Engel, A. K., Moll, C. K. E., Gulberti, A., & Pötter‐Nerger, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.812954 · Cited by 18
The mirror illusion induces high gamma oscillations in the absence of movement
Butorina, A., Prokofyev, A., Nazarova, M., Litvak, V., & Stroganova, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.024 · Cited by 16
Neuromagnetic Beta-Band Oscillations during Motor Imitation in Youth with Autism
Buard, I., Kronberg, E., Steinmetz, S. E., Hepburn, S., & Rojas, D. C. (2018) · Autism Research and Treatment · doi:10.1155/2018/9035793 · Cited by 17
Hamandi, K., Singh, K. D., & Muthukumaraswamy, S. D. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.04.017 · Cited by 17
Increased Gamma Connectivity in the Human Prefrontal Cortex during the Bereitschaftspotential
Kim, K., Kim, J., & Chung, C. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00180 · Cited by 18
A non-invasive, quantitative study of broadband spectral responses in human visual cortex
Kupers, E. R., Wang, H. X., Amano, K., Kay, K., Heeger, D. J., & Winawer, J. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0193107 · Cited by 17
Reconstruction of reaching movement trajectories using electrocorticographic signals in humans
Talakoub, O., Márquez-Chin, C., Popović, M. R., Navarro, J., Fonoff, E. T., Hamani, C., & Wong, W. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182542 · Cited by 17
Tamás, G., Chirumamilla, V. C., Anwar, A. R., Raethjen, J., Deuschl, G., Groppa, S., & Muthuraman, M. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00130 · Cited by 17
Tao, Y., Xu, W., Wang, G., Yuan, Z., Wang, M., Houston, M., Zhang, Y., Chen, B., Yan, X., & Wang, G. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3208710 · Cited by 18
Motor decoding from the posterior parietal cortex using deep neural networks
Borra, D., Filippini, M., Ursino, M., Fattori, P., & Magosso, E. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acd1b6 · Cited by 17
Inuggi, A., Riva, N., González-Rosa, J., Amadio, S., Amato, N., Fazio, R., Carro, U. D., Comi, G., & Leocani, L. (2011) · Brain Research · doi:10.1016/j.brainres.2011.09.007 · Cited by 19
Giustiniani, A., Battaglia, G., Messina, G., Morello, H., Guastella, S., Iovane, A., Oliveri, M., Palma, A., & Proia, P. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.640609 · Cited by 16
Amo, C., de Santiago, L., Luciáñez, D. Z., Alonso-Cortés, J. M. L., Alonso‐Alonso, M., Barea, R., & Boquete, L. (2017) · PLoS ONE · doi:10.1371/journal.pone.0186008 · Cited by 16
Jiang, T., Liu, S., Pellizzer, G., Aydöseli, A., Karamürsel, S., Sabancı, P. A., Sencer, A., Gürses, C., & Ince, N. F. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00110 · Cited by 16
Functional interaction of abnormal beta and gamma oscillations on bradykinesia in parkinsonian rats
Jiang, X., Yang, J., Wang, Z., Jia, J., & Wang, G. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110911 · Cited by 15
Biometrics Based on Hand Synergies and Their Neural Representations
Patel, V., Burns, M. K., Chandramouli, R., & Vinjamuri, R. K. (2017) · IEEE Access · doi:10.1109/access.2017.2718003 · Cited by 15
Kang, B. K., Kim, J. S., Ryun, S., & Chung, C. K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191480 · Cited by 14
Exploring EEG spectral and temporal dynamics underlying a hand grasp movement
Bodda, S., & Diwakar, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0270366 · Cited by 15
Laminar origin of evoked ECoG high-gamma activity
Dougherty, M. E., Nguyen, Q.-A., Baratham, V. L., & Bouchard, K. E. (2019) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2019.8856786 · Cited by 11
Spatial-Temporal Dynamics of the Sensorimotor Cortex: Sustained and Transient Activity
Salari, E., Freudenburg, Z. V., Vansteensel, M. J., & Ramsey, N. F. (2018) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2018.2821058 · Cited by 15
Age- and movement-related modulation of cortical oscillations in a mouse model of presbycusis
Rumschlag, J. A., Lovelace, J. W., & Razak, K. A. (2020) · Hearing Research · doi:10.1016/j.heares.2020.108095 · Cited by 15
Fingelkurts, A. A., & Fingelkurts, A. A. (2010) · Neuroscience Research · doi:10.1016/j.neures.2010.07.2031 · Cited by 13
Modulation of cortical beta oscillations influences motor vigor: A rhythmic TMS‐EEG study
Uehara, K., Fine, J. M., & Santello, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.26149 · Cited by 13
Deep Riemannian Networks for end-to-end EEG decoding
Wilson, D., Schirrmeister, R. T., Gemein, L. A. W., & Ball, T. (2025) · Imaging Neuroscience · doi:10.1162/imag_a_00511 · Cited by 21
Electrical stimulation for cortical mapping reduces the density of high frequency oscillations
Jacobs, J., Golla, T., Mader, M., Schelter, B. O., Dümpelmann, M., Korinthenberg, R., & Schulze‐Bonhage, A. (2014) · Epilepsy Research · doi:10.1016/j.eplepsyres.2014.09.022 · Cited by 13
Self-citationNaro, A., Calabrò, R. S., Leo, A., Russo, M., Milardi, D., Cannavò, A., Manuli, A., Buda, A., Casella, C., Bramanti, P., et al. (2018) · Brain Topography · doi:10.1007/s10548-018-0628-9 · Cited by 12
Dissanayaka, T., Zoghi, M., Farrell, M. J., Egan, G. F., & Jaberzadeh, S. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0949 · Cited by 11
Individual/Peak Gamma Frequency: What Do We Know?
Mockevičius, A., Šveistytė, K., & Griškova-Bulanova, I. (2023) · Brain Sciences · doi:10.3390/brainsci13050792 · Cited by 11
Rostami, M., Lee, A. L., Frazer, A. K., Akalu, Y., Siddique, U., Pearce, A. J., Tallent, J., & Kidgell, D. J. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.01.016 · Cited by 12
Ye, H., Li, G., Sheng, X., & Zhu, X. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac63e9 · Cited by 12
Tatti, E., Ferraioli, F., Cacciola, A., Chan, C., Quartarone, A., & Ghilardi, M. F. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.836703 · Cited by 12
Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
Li, L., & Sun, N. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/8187009 · Cited by 11
Yoshor, D., & Mizrahi, E. M. (2012) · Cited by 12
Uji, M., Jentzsch, I., Redburn, J., & Vishwanath, D. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.04.017 · Cited by 11
Korik, A., Siddique, N. H., Sosnik, R., & Coyle, D. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7320274 · Cited by 10
Wronkiewicz, M., Larson, E., & Lee, A. K. C. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/5/056017 · Cited by 10
Stereo-EEG recordings extend known distributions of canonical movement-related oscillations
Rockhill, A. P., Mantovani, A., Stedelin, B., Nerison, C. S., Raslan, A. M. T., & Swann, N. C. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/acae0a · Cited by 10
Neural interactions in the human frontal cortex dissociate reward and punishment learning
Combrisson, E., Basanisi, R., Gueguen, M. C. M., Rheims, S., Kahane, P., Bastin, J., & Brovelli, A. (2023) · eLife · doi:10.7554/elife.92938 · Cited by 24
Localized High Gamma Motor Oscillations Respond to Perceived Biologic Motion
Darvas, F., Rao, R. P. N., & Murias, M. (2013) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3182872f40 · Cited by 10
Neural Mechanism of Altered Limb Perceptions Caused by Temporal Sensorimotor Incongruence
Katayama, O., Tsukamoto, T., Osumi, M., Kodama, T., & Morioka, S. (2018) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2018.00282 · Cited by 10
Brain–Computer Interface in Neurorehabilitation
Birbaumer, N., & Sauseng, P. (2009) · The frontiers collection · doi:10.1007/978-3-642-02091-9_9 · Cited by 10
An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
Papadopoulos, S., Bonaiuto, J. J., & Mattout, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.824759 · Cited by 12
Kritikos, I., Makrypidis, A., Alevizopoulos, A. G., Alevizopoulos, G. A., & Koutsouris, D. (2023) · Virtual Worlds · doi:10.3390/virtualworlds2020011 · Cited by 9
Haverland, B., Timmsen, L. S., Wolf, S., Stagg, C. J., Frontzkowski, L. K., Oostenveld, R., Schön, G., Feldheim, J. F., Higgen, F. L., Gerloff, C. P., et al. (2025) · The Journal of Physiology · doi:10.1113/jp286873 · Cited by 11
Movement-related ERS and connectivity in the gamma frequency decrease with practice
Tatti, E., Cacciola, A., Carrara, F., Luciani, A., Quartarone, A., & Ghilardi, M. F. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120444 · Cited by 10
Comparison of mobile and clinical EEG sensors through resting state simultaneous data collection
Kutafina, E., Brenner, A., Titgemeyer, Y., Surges, R., & Jonas, S. (2020) · PeerJ · doi:10.7717/peerj.8969 · Cited by 9
Dynamic functional connectivity in verbal cognitive control and word reading
Sakakura, K., Brennan, M., Sonoda, M., Mitsuhashi, T., Luat, A. F., Marupudi, N. I., Sood, S., & Asano, E. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120863 · Cited by 8
Using Combination of µ,β and γ Bands in Classification of EEG Signals.
Mirnaziri, M., Rahimi, M., Alavikakhaki, S., & Ebrahimpour, R. (2013) · Europe PMC (PubMed Central) · Cited by 8
Shakibaee, F., Mottaghi, E., Kobravi, H. R., & Ghoshuni, M. (2019) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/aafd48 · Cited by 8
Morphology and dynamic repertoire of EEG short-term spectral patterns in rest: Explorative study
Fingelkurts, A. A., & Fingelkurts, A. A. (2009) · Neuroscience Research · doi:10.1016/j.neures.2009.11.014 · Cited by 8
Measuring complex behaviors of local oscillatory networks in deep brain local field potentials
Huang, Y., Geng, X., Li, L., Stein, J. F., Aziz, T. Z., Green, A. L., & Wang, S. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.02.018 · Cited by 8
Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment
Ding, C., Liu, M., Wang, Y., Yan, F., & Yan, L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01235 · Cited by 8
Electrocortical activity in freely walking rats varies with environmental conditions
Li, B., Liu, S., Hu, D., Li, G., Tang, R., Song, D. F., Lang, Y., & He, J. (2020) · Brain Research · doi:10.1016/j.brainres.2020.147188 · Cited by 7
Kraljič, A., Matkovič, A., Purg, N., Demšar, J., & Repovš, G. (2022) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2022.968363 · Cited by 7
An MEG investigation of the neural mechanisms subserving complex visuomotor coordination☆
Kennedy, J. S., Singh, K. D., & Muthukumaraswamy, S. D. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.11.003 · Cited by 7
Kezunovic, N., Hyde, J., Urbano, F. J., & García‐Rill, E. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801385-4.00009-4 · Cited by 7
Temporal alignment of electrocorticographic recordings for upper limb movement
Talakoub, O., Popović, M. R., Navarro, J., Hamani, C., Fonoff, E. T., & Wong, W. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00431 · Cited by 7
Classification of hand movement direction based on EEG high-gamma activity
Loza, C. A., Philips, G. R., Hazrati, M. K., Daly, J. J., & Príncipe, J. C. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6945119 · Cited by 7
ECoG Beta Suppression and Modulation During Finger Extension and Flexion
Unterweger, J., Seeber, M., Zanos, S. P., Ojemann, J. G., & Scherer, R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00035 · Cited by 8
Brain Responses During Robot-Error ObservationPreprint
Welke, D., Behncke, J., Hader, M., Schirrmeister, R. T., Schönau, A., Eßmann, B., Müller, O. M., Burgard, W., & Tonio Ball, A. (2017) · arXiv (Cornell University) · doi:10.17185/duepublico/44533 · Cited by 7
Choi, G., Han, C.-H., Lee, H.-T., Paik, N., Kim, W., & Hwang, H.-J. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00972-7 · Cited by 5
Cortical processing during robot and functional electrical stimulation
Cho, W., Vidaurre, C., An, J., Birbaumer, N., & Ramos‐Murguialday, A. (2023) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2023.1045396 · Cited by 6
Sadeh, B., Szczepanski, S. M., & Knight, R. T. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-398451-7.00021-x · Cited by 7
Are High Frequency Oscillations in Scalp EEG Related to Age?
Windhager, P. F., Marcu, A. V., Trinka, E., Bathke, A. C., & Höller, Y. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2021.722657 · Cited by 6
Millisecond-Scale White Matter Dynamics Underlying Visuomotor Integration
Ueda, R., Uda, H., Hatano, K., Sakakura, K., Kuroda, N., Kitazawa, Y., Kanno, A., Lee, M.-H., Jeong, J.-W., Luat, A. F., et al. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121352 · Cited by 5
Metadata
- Authors
- Ball, T., Demandt, E., Mutschler, I., Neitzel, E., Mehring, C., Vogt, K., Aertsen, A., & Schulze-Bonhage, A.
- Affiliations
- University of Freiburg (DE)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 41
- Issue
- 2
- Pages
- 302-310
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2118872857
- Cited by
- 274
- References
- 53
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 9 · 2023: 10 · 2022: 19 · 2021: 11 · 2020: 24 · 2019: 13 · 2018: 25 · 2017: 16 · 2016: 18 · 2015: 17 · 2014: 17 · 2013: 17 · 2012: 14
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- edoc (University of Basel) (acceptedVersion)
- edoc (University of Basel)
- Funders
- Bundesministerium für Bildung und Forschung (01GQ0420)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Keywords
- sensorimotor cortex, supplementary motor area, intracranial electrocorticography, epilepsy patients
- MeSH terms
- Adult, Brain, Brain Mapping, Electroencephalography, Epilepsy, Female, Humans, 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