The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Frontal midline EEG dynamics during working memory
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Self-citationAn Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Common regions of the human frontal lobe recruited by diverse cognitive demands
Duncan, J., & Owen, A. M. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01633-7 · Cited by 2,498
Conflict monitoring versus selection-for-action in anterior cingulate cortex
Botvinick, M., Nystrom, L. E., Fissell, K., Carter, C. S., & Cohen, J. D. (1999) · Nature · doi:10.1038/46035 · Cited by 2,044
Dynamic Brain Sources of Visual Evoked Responses
Makeig, S., Westerfield, M., Jung, T.-P., Enghoff, S., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2002) · Science · doi:10.1126/science.1066168 · Cited by 1,630
Self-citationvon Stein, A., & Sarnthein, J. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00172-0 · Cited by 1,553
Pardo, J. V., Pardo, P. J., Janer, K. W., & Raichle, M. E. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.1.256 · Cited by 1,495
Eichenbaum (2004) · doi:10.1016/j.neuron.2004.08.028 · Cited by 1,464
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
Hasselmo, M. E., Bodelón, C., & Wyble, B. P. (2002) · Neural Computation · doi:10.1162/089976602317318965 · Cited by 875
Cited by
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
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Video game training enhances cognitive control in older adults
Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., Kong, E., Larraburo, Y., Rolle, C., Johnston, E., et al. (2013) · Nature · doi:10.1038/nature12486 · Cited by 1,666
Vigilance, alertness, or sustained attention: physiological basis and measurement
Oken, B. S., Salinsky, M. C., & Elsas, S. M. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.01.017 · Cited by 887
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
Bashivan, P., Rish, I., Yeasin, M., & Codella, N. (2015) · arXiv · doi:10.48550/arxiv.1511.06448 · Cited by 836
Independent EEG Sources Are Dipolar
Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030135 · Cited by 810
Self-citationCavanagh, J. F., Cohen, M. X., & Allen, J. J. B. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4137-08.2009 · Cited by 669
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
The default-mode, ego-functions and free-energy: a neurobiological account of Freudian ideas
Carhart-Harris, R. L., & Friston, K. J. (2010) · Brain · doi:10.1093/brain/awq010 · Cited by 574
Frontal-midline theta from the perspective of hippocampal “theta”
Mitchell, D. J., McNaughton, N., Flanagan, D., & Kirk, I. J. (2008) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2008.09.005 · Cited by 549
A systematic review of the neurophysiology of mindfulness on EEG oscillations
Lomas, T., Ivtzan, I., & Fu, C. H. Y. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.018 · Cited by 506
Hsieh, L.-T., & Ranganath, C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.003 · Cited by 525
A 4 Hz oscillation adaptively synchronizes prefrontal, VTA, and hippocampal activities
Fujisawa, S., & Buzsáki, G. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.018 · Cited by 501
“In support of this hypothesis, several studies have pointed out that the behavioral specificity of mf-theta depends on the frequency band chosen (Klimesch 2001; Onton et al., 2005; Sauseng et al., 2010).”
InfluentialThe Electrophysiological Dynamics of Interference during the Stroop Task
Hanslmayr, S., Pastötter, B., Bäuml, K.-H., Gruber, S., Wimber, M., & Klimesch, W. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20020 · Cited by 510
Frontal theta activity reflects distinct aspects of mental fatigue
Wascher, E., Rasch, B., Sänger, J., Hoffmann, S., Schneider, D., Rinkenauer, G., Heuer, H., & Gutberlet, I. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2013.11.010 · Cited by 454
Lost in thoughts: Neural markers of low alertness during mind wandering
Braboszcz, C., & Delorme, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.008 · Cited by 425
Frontal theta EEG activity correlates negatively with the default mode network in resting state
Scheeringa, R., Bastiaansen, M. C. M., Petersson, K. M., Oostenveld, R., Norris, D. G., & Hagoort, P. (2008) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2007.05.017 · Cited by 400
Vividness of Visual Imagery Depends on the Neural Overlap with Perception in Visual Areas
Dijkstra, N., Bosch, S. E., & van Gerven, M. A. J. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3022-16.2016 · Cited by 315
Clinical Utility of EEG in Attention-Deficit/Hyperactivity Disorder: A Research Update
Loo, S. K., & Makeig, S. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0131-z · Cited by 306
Self-citationChase, H. W., Boudewyn, M. A., Carter, C. S., & Phillips, M. L. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0499-9 · Cited by 286
Gruzelier, J. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.03.015 · Cited by 270
EEG power spectral measures of cognitive workload: A meta‐analysis
Chikhi, S., Matton, N., & Blanchet, S. (2022) · Psychophysiology · doi:10.1111/psyp.14009 · Cited by 258
Minzenberg, M. J., Firl, A. J., Yoon, J. H., Gomes, G. C., Reinking, C., & Carter, C. S. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.150 · Cited by 247
Milne, E. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00051 · Cited by 217
Theta activity and meditative states: spectral changes during concentrative meditation
Baijal, S., & Srinivasan, N. (2010) · Cognitive Processing · doi:10.1007/s10339-009-0272-0 · Cited by 187
The research domain criteria framework: The case for anterior cingulate cortex
Holroyd, C. B., & Umemoto, A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.021 · Cited by 187
Bailey, N. W., Hoy, K. E., Rogasch, N. C., Thomson, R. H., McQueen, S., Elliot, D., Sullivan, C. M., Fulcher, B. D., Daskalakis, Z. J., & Fitzgerald, P. B. (2018) · Brain Stimulation · doi:10.1016/j.brs.2017.10.015 · Cited by 162
Gramann, K., Onton, J., Riccobon, D., Mueller, H. J., Bardins, S., & Makeig, S. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21369 · Cited by 172
Self-citationA Model Relating Pupil Diameter to Mental Workload and Lighting Conditions
Pfleging, B., Fekety, D. K., Schmidt, A., & Kun, A. L. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858117 · Cited by 179
Theta oscillations reflect the dynamics of interference in episodic memory retrieval
Staudigl, T., Hanslmayr, S., & Bäuml, K.-H. T. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0637-10.2010 · Cited by 153
Lenartowicz, A., Delorme, A., Walshaw, P. D., Cho, A. L., Bilder, R. M., McGough, J. J., McCracken, J. T., Makeig, S., & Loo, S. K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1765-13.2014 · Cited by 158
Self-citationCreativity related cortex activity in the remote associates task
Razumnikova, O. M. (2007) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2007.02.008 · Cited by 155
Aricò, P., Borghini, G., Di Flumeri, G., Colosimo, A., Pozzi, S., & Babiloni, F. (2016) · Progress in Brain Research · doi:10.1016/bs.pbr.2016.04.021 · Cited by 145
Neurofeedback: One of today's techniques in psychiatry?
Arns, M., Batail, J.-M., Bioulac, S., Congedo, M., Daudet, C., Drapier, D., Fovet, T., Jardri, R., Le-Van-Quyen, M., Lotte, F., et al. (2017) · L'Encéphale · doi:10.1016/j.encep.2016.11.003 · Cited by 117
Theta oscillations predict the detrimental effects of memory retrieval
Hanslmayr, S., Staudigl, T., Aslan, A., & Bäuml, K.-H. (2010) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.10.3.329 · Cited by 106
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
McLoughlin, G., Palmer, J. A., Rijsdijk, F., & Makeig, S. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.07.020 · Cited by 100
Self-citationCohen, M. X. (2011) · Current Biology · doi:10.1016/j.cub.2011.09.036 · Cited by 94
Peak frequency in the theta and alpha bands correlates with human working memory capacity
Moran, R. J., Campo, P., Maestu, F., Reilly, R. B., Dolan, R. J., & Strange, B. A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00200 · Cited by 93
Bohle, H., Rimpel, J., Schauenburg, G., Gebel, A., Stelzel, C., Heinzel, S., Rapp, M., & Granacher, U. (2019) · Neural Plasticity · doi:10.1155/2019/9478656 · Cited by 46
Eckart, C., Fuentemilla, L., Bauch, E. M., & Bunzeck, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.011 · Cited by 43
ADHD candidate gene (DRD4 exon III) affects inhibitory control in a healthy sample
Krämer, U. M., Rojo, N., Schüle, R., Cunillera, T., Schöls, L., Marco-Pallarés, J., Cucurell, D., Camara, E., Rodriguez-Fornells, A., & Münte, T. F. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-150 · Cited by 42
Co-maturation of theta and low-beta rhythms during child development
Rodríguez-Martínez, E. I., Barriga-Paulino, C. I., Rojas-Benjumea, M. A., & Gómez, C. M. (2015) · Brain Topography · doi:10.1007/s10548-014-0369-3 · Cited by 36
Boukarras, S., Özkan, D. G., Era, V., Moreau, Q., Tieri, G., & Candidi, M. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01834 · Cited by 24
Electrophysiology and hyperscanning applied to e-learning for organizational training
Balconi, M., Angioletti, L., & Cassioli, F. (2023) · The Learning Organization · doi:10.1108/tlo-01-2023-0011 · Cited by 12
Michelini, G., Lenartowicz, A., Diaz-Fong, J. P., Bilder, R. M., McGough, J. J., McCracken, J. T., & Loo, S. K. (2023) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2022.06.017 · Cited by 12
Metadata
- Authors
- Onton, J., Delorme, A., & Makeig, S.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2005-08
- Volume
- 27
- Issue
- 2
- Pages
- 341-356
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2164416159
- Cited by
- 850
- References
- 19
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
