An on-line transformation of EEG scalp potentials into orthogonal source derivations

Report of the committee on methods of clinical examination in electroencephalography

(1958) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(58)90053-1 · Cited by 2,717

Event-related EEG/MEG synchronization and desynchronization: basic principles

Pfurtscheller, G., & Lopes da Silva, F. H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00141-8 · Cited by 7,328

Words in the brain's language

Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284

Early experience alters brain function and structure

Als, H., Duffy, F. H., McAnulty, G. B., Rivkin, M. J., Vajapeyam, S., Mulkern, R. V., Warfield, S. K., Huppi, P. S., Butler, S. C., Conneman, N., et al. (2004) · Pediatrics · doi:10.1542/peds.113.4.846 · Cited by 890

Designing optimal spatial filters for single-trial EEG classification in a movement task

Müller-Gerking, J., Pfurtscheller, G., & Flyvbjerg, H. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(98)00038-8 · Cited by 846

Post-movement beta synchronization: a correlate of an idling motor area?

Pfurtscheller, G., Stancák, A., & Neuper, C. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00258-8 · Cited by 704

Is the “error negativity” specific to errors?

Vidal, F., Hasbroucq, T., Grapperon, J., & Bonnet, M. (2000) · Biological Psychology · doi:10.1016/s0301-0511(99)00032-0 · Cited by 517

Lucid dreaming: a state of consciousness with features of both waking and non-lucid dreaming

Voss, U., Holzmann, R., Tuin, I., & Hobson, A. J. (2009) · Sleep · doi:10.1093/sleep/32.9.1191 · Cited by 445

Spatial and temporal resolutions of EEG: Is it really black and white? A scalp current density view

Burle, B., Spieser, L., Roger, C., Casini, L., Hasbroucq, T., & Vidal, F. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.05.004 · Cited by 414

Opportunities and methodological challenges in EEG and MEG resting state functional brain network research

van Diessen, E., Numan, T., van Dellen, E., van der Kooi, A. W., Boersma, M., Hofman, D., van Lutterveld, R., van Dijk, B. W., van Straaten, E. C. W., Hillebrand, A., et al. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.11.018 · Cited by 417

Accuracy of heartbeat perception is reflected in the amplitude of the heartbeat‐evoked brain potential

Pollatos, O., & Schandry, R. (2004) · Psychophysiology · doi:10.1111/1469-8986.2004.00170.x · Cited by 330

Systematic review and meta-analysis of the relationship between the heartbeat-evoked potential and interoception

Coll, M.-P., Hobson, H., Bird, G., & Murphy, J. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.12.012 · Cited by 262

Saccadic spike potentials in gamma-band EEG: Characterization, detection and suppression

Keren, A. S., Yuval-Greenberg, S., & Deouell, L. Y. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.057 · Cited by 263

Brain structures involved in interoceptive awareness and cardioafferent signal processing: A dipole source localization study

Pollatos, O., Kirsch, W., & Schandry, R. (2005) · Human Brain Mapping · doi:10.1002/hbm.20121 · Cited by 261

Motor imagery classification by means of source analysis for brain–computer interface applications

Qin, L., Ding, L., & He, B. (2004) · Journal of Neural Engineering · doi:10.1088/1741-2560/1/3/002 · Cited by 239

Electroencephalography (EEG)-based brain–computer interface (BCI): a 2-d virtual wheelchair control based on event-related desynchronization/synchronization and state control

Huang, D., Qian, K., Fei, D.-Y., Jia, W., Chen, X., & Bai, O. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2190299 · Cited by 237

Brain oscillation-synchronized stimulation of the left dorsolateral prefrontal cortex in depression using real-time EEG-triggered TMS

Zrenner, B., Zrenner, C., Gordon, P. C., Belardinelli, P., McDermott, E. J., Soekadar, S. R., Fallgatter, A. J., Ziemann, U., & Müller-Dahlhaus, F. (2020) · Brain Stimulation · doi:10.1016/j.brs.2019.10.007 · Cited by 175

Preparatory visuo-motor cortical network of the contingent negative variation estimated by current density

Gómez, C. M., Marco, J., & Grau, C. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00295-7 · Cited by 182

Autocalibration and recurrent adaptation: Towards a plug and play online ERD-BCI

Faller, J., Vidaurre, C., Solis-Escalante, T., Neuper, C., & Scherer, R. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2189584 · Cited by 180

Error negativity on correct trials: a reexamination of available data

Vidal, F., Burle, B., Bonnet, M., Grapperon, J., & Hasbroucq, T. (2003) · Biological Psychology · doi:10.1016/s0301-0511(03)00097-8 · Cited by 177

Working memory-related frontal theta activity is decreased under acute stress

Gärtner, M., Rohde-Liebenau, L., Grimm, S., & Bajbouj, M. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2014.02.009 · Cited by 103

The modulation of the Ne-like wave on correct responses foreshadows errors

Allain, S., Carbonnell, L., Falkenstein, M., Burle, B., & Vidal, F. (2004) · Neuroscience Letters · doi:10.1016/j.neulet.2004.09.036 · Cited by 99

Discrimination of motor imagery-induced EEG patterns in patients with complete spinal cord injury

Pfurtscheller, G., Linortner, P., Winkler, R., Korisek, G., & Müller-Putz, G. (2009) · Computational Intelligence and Neuroscience · doi:10.1155/2009/104180 · Cited by 88

Effect of pain perception on the heartbeat evoked potential

Shao, S., Shen, K., Wilder-Smith, E. P. V., & Li, X. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.02.014 · Cited by 86

Towards a user-friendly brain-computer interface: initial tests in ALS and PLS patients

Bai, O., Lin, P., Huang, D., Fei, D.-Y., & Floeter, M. K. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.02.157 · Cited by 80

Advances in Electrophysiological Research

Kamarajan, C. (2015) · Alcohol Research: Current Reviews · doi:10.35946/arcr.v37.1.05 · Cited by 72

Surface Laplacian of Central Scalp Electrical Signals is Insensitive to Muscle Contamination

Fitzgibbon, S. P., Lewis, T. W., Powers, D. M. W., Whitham, E. W., Willoughby, J. O., & Pope, K. J. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2195662 · Cited by 67

Influence of common synaptic input to motor neurons on the neural drive to muscle in essential tremor

Gallego, J. A., Dideriksen, J. L., Holobar, A., Ibáñez, J., Pons, J. L., Louis, E. D., Rocon, E., & Farina, D. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00531.2014 · Cited by 64

Cortical correlates of the basic and first harmonic frequency of Parkinsonian tremor

Raethjen, J., Govindan, R. B., Muthuraman, M., Kopper, F., Volkmann, J., & Deuschl, G. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.06.028 · Cited by 61

Recording and decoding for neural prostheses

Warren, D. J., Kellis, S., Nieveen, J. G., Wendelken, S. M., Dantas, H., Davis, T. S., Hutchinson, D. T., Normann, R. A., Clark, G. A., & Mathews, V. J. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2507180 · Cited by 52

Diagnostic and prognostic value of EEG in prodromal dementia with Lewy bodies

van der Zande, J. J., Gouw, A. A., van Steenoven, I., van de Beek, M., Scheltens, P., Stam, C. J., & Lemstra, A. W. (2020) · Neurology · doi:10.1212/wnl.0000000000009977 · Cited by 43

EEG-based neurophysiological indicators of hallucinations in Alzheimer's disease: Comparison with dementia with Lewy bodies

Dauwan, M., Linszen, M. M. J., Lemstra, A. W., Scheltens, P., Stam, C. J., & Sommer, I. E. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.013 · Cited by 37

ERD as an index of anticipatory attention? Effects of stimulus degradation

Bastiaansen, M. C. M., Böcker, K. B. E., & Brunia, C. H. M. (2002) · Psychophysiology · doi:10.1111/1469-8986.3910016 · Cited by 36

EEG-based classification of motor imagery tasks using fractal dimension and neural network for brain-computer interface.

PHOTHISONOTHAI, M., & NAKAGAWA, M. (2008) · IEICE Transactions on Information and Systems · doi:10.1093/ietisy/e91-d.1.44 · Cited by 33

Electrophysiological Mapping and Neuroimaging

He, B., & Ding, L. (2013) · Neural Engineering · doi:10.1007/978-1-4614-5227-0_12 · Cited by 26

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

Statthaler, K., Schwarz, A., Steyrl, D., Kobler, R., Höller, M. K., Brandstetter, J., Hehenberger, L., Bigga, M., & Müller-Putz, G. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0344-9 · Cited by 24

On the Comparison Between the Nc/CRN and the Ne/ERN

Vidal, F., Burle, B., & Hasbroucq, T. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.788167 · Cited by 15