The DOI matches its Crossref record; 29 of the 31 references it cites were found in a registry or an index.
Guiding the study of brain dynamics by using first-person data: Synchrony patterns correlate with ongoing conscious states during a simple visual task
Open accessAbstract
Even during well-calibrated cognitive tasks, successive brain responses to repeated identical stimulations are highly variable. The source of this variability is believed to reside mainly in fluctuations of the subject's cognitive "context" defined by his/her attentive state, spontaneous thought process, strategy to carry out the task, and so on... As these factors are hard to manipulate precisely, they are usually not controlled, and the variability is discarded by averaging techniques. We combined first-person data and the analysis of neural processes to reduce such noise. We presented the subjects with a three-dimensional illusion and recorded their electrical brain activity and their own report about their cognitive context. Trials were clustered according to these first-person data, and separate dynamical analyses were conducted for each cluster. We found that (i) characteristic patterns of endogenous synchrony appeared in frontal electrodes before stimulation. These patterns depended on the degree of preparation and the immediacy of perception as verbally reported. (ii) These patterns were stable for several recordings. (iii) Preparatory states modulate both the behavioral performance and the evoked and induced synchronous patterns that follow. (iv) These results indicated that first-person data can be used to detect and interpret neural processes.
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“Many subsequent studies demonstrated that neural synchrony also correlates with conscious perception in humans.For example, neural synchrony patterns were found to correlate with conscious recognition by subjects exposed to optical illusions [16], and conscious auditory perception was shown to be correlated with long-range synchrony of gamma oscillations [17].”
From The electromagnetic will (2021) · cites this paper as [16]
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Cites
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Meditation states and traits: EEG, ERP, and neuroimaging studies.
Cahn, B. R., & Polich, J. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.2.180 · Cited by 1,734
Van Dam, N. T., van Vugt, M. K., Vago, D. R., Schmalzl, L., Saron, C. D., Olendzki, A., Meissner, T., Lazar, S. W., Kerr, C. E., Gorchov, J., et al. (2018) · Perspectives on Psychological Science · doi:10.1177/1745691617709589 · Cited by 1,506
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Metadata
- Authors
- Lutz, A., Lachaux, J.-P., Martinerie, J., & Varela, F. J.
- Affiliations
- Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale (LENA), Hôpital de La Salpêtrière, Centre National de la Recherche Scientifique (CNRS), UPR 640, 75651 Paris Cedex 13, France
- Centre National de la Recherche Scientifique (FR)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2002-01-22
- Volume
- 99
- Issue
- 3
- Pages
- 1586-1591
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC122234
- OpenAlex
- W2095832584
- Cited by
- 503
- References
- 31
- Citations by year
- 2026: 10 · 2025: 14 · 2024: 7 · 2023: 15 · 2022: 25 · 2021: 19 · 2020: 33 · 2019: 21 · 2018: 24 · 2017: 32 · 2016: 12 · 2015: 21 · 2014: 24 · 2013: 34 · 2012: 18
- FWCI
- 9.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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 › Visual perception and processing mechanisms
- Keywords
- neuronal synchronization, brain dynamics, states of consciousness, cognitive context, neural variability, frontal electrodes
- MeSH terms
- Adult, Analysis of Variance, Attention, Brain, Cognition, Consciousness, Electroencephalography, Humans, Male, Middle Aged, Neurons, Pattern Recognition, Visual, Reaction Time, Reproducibility of Results
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