The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants
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Citations
Cites
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Testing the efficiency and independence of attentional networks
Fan, J., McCandliss, B. D., Sommer, T., Raz, A., & Posner, M. I. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317361886 · Cited by 3,717
von Stein, A., & Sarnthein, J. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00172-0 · Cited by 1,553
Frontal theta activity in humans increases with memory load in a working memory task
Jensen, O., & Tesche, C. D. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2002.01975.x · Cited by 1,379
Sleep-Dependent Learning and Memory Consolidation
Walker, M. P., & Stickgold, R. (2004) · Neuron · doi:10.1016/j.neuron.2004.08.031 · Cited by 1,113
Putting brain training to the test
Owen, A. M., Hampshire, A., Grahn, J. A., Stenton, R., Dajani, S., Burns, A. S., Howard, R. J., & Ballard, C. G. (2010) · Nature · doi:10.1038/nature09042 · Cited by 1,056
Arns, M., de Ridder, S., Strehl, U., Breteler, M., & Coenen, A. (2009) · Clinical EEG and Neuroscience · doi:10.1177/155005940904000311 · Cited by 794
Theta lingua franca: A common mid‐frontal substrate for action monitoring processes
Cavanagh, J. F., Zambrano‐Vazquez, L., & Allen, J. J. B. (2012) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01293.x · Cited by 651
Alpha frequency, cognitive load and memory performance
Klimesch, W., Schimke, H., & Pfurtscheller, G. (1993) · Brain Topography · doi:10.1007/bf01128991 · Cited by 530
Kubota, Y., Sato, W., Toichi, M., Murai, T., Okada, T., Hayashi, A., & Sengoku, A. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(00)00086-0 · Cited by 369
Cited by
fNIRS-based brain-computer interfaces: a review
Naseer, N., & Hong, K.-S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00003 · Cited by 988
EEG oscillations: from correlation to causality
Herrmann, C. S., Strüber, D., Helfrich, R. F., & Engel, A. K. (2016) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.02.003 · Cited by 527
Al-Nafjan, A., Hosny, M., Al-Ohali, Y., & Al-Wabil, A. (2017) · Applied Sciences · doi:10.3390/app7121239 · Cited by 300
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
Hong, K.-S., Khan, M. J., & Hong, M. J. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00246 · Cited by 283
Gruzelier, J. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.015 · Cited by 270
Self-citation
Metadata
- Authors
- Gruzelier, J. H.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 44
- Pages
- 124-141
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W2032492549
- Cited by
- 575
- References
- 16
- FWCI
- 17.67
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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- CoChat. (2026). Citation check: EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants. https://app.cochat.ai/papers/10.1016/j.neubiorev.2013.09.015
- The paper
- Gruzelier, J. H. (2014). EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2013.09.015
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
