The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
slow Cortical Potentials: Plasticity, Operant Control, and Behavioral Effects
Abstract
Slow cortical potentials are negative or positive polarizations of the electroencephalo gram (EEG) or magnetic field changes in the magnetoencephalogram (MEG) that last from 300 ms to several seconds. They originate in depolarizations of the apical dendritic tree in the upper cortical layers that are caused by synchronous firing, mainly from thal amocortical afferents. Functionally they constitute a threshold regulation mechanism for local excitatory mobilization (negative slow potentials) or inhibition (positive slow poten tials) of cortical networks. Humans can learn to voluntarily regulate these potentials after operant training using immediate feedback and positive reinforcement for self-generated slow potentials shifts. After learned self-regulation of negative slow cortical potentials, motor and cognitive performance of various tasks improves, depending upon the specific cortical location of the learned response. Learned reduction of cortical negativity in creases seizure threshold and improves drug-resistant epilepsies. The learned self-reg ulation of slow cortical potentials is based on a redistribution of attentional resources and depends cntically on a prefrontal and thalamic attention system. Finally, a thought trans lation device uses the slow potential self-regulation skill in totally paralyzed locked-in patients for communication with a language-shaping computer system. NEURO SCIENTIST 5:74-78, 1999
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Citations
Cites
Paying attention to the thalamic reticular nucleus
Guillery, R. W., Feig, S. L., & Lozsádi, D. A. (1998) · Trends in Neurosciences · doi:10.1016/s0166-2236(97)01157-0 · Cited by 409
Cited by
Breaking the silence: Brain-computer interfaces (BCI) for communication and motor control
Birbaumer, N. (2006) · Psychophysiology · doi:10.1111/j.1469-8986.2006.00456.x · Cited by 722
Self-citationThe thought translation device (TTD) for completely paralyzed patients
Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493
Self-citationReview of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback
Omejc, N., Rojc, B., Battaglini, P. P., & Marusic, U. (2018) · Bosnian Journal of Basic Medical Sciences · doi:10.17305/bjbms.2018.3785 · Cited by 91
BRAIN-COMPUTER INTERFACES FOR VERBAL COMMUNICATION
Birbaumer, N., Strehl, U., & Hinterberger, T. (2004) · Series on Bioengineering and Biomedical Engineering · doi:10.1142/9789812561763_0039 · Cited by 10
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Metadata
- Authors
- Birbaumer, N.
- Venue
- The Neuroscientist
- Publisher
- SAGE Publications
- Published
- 1999-03
- Volume
- 5
- Issue
- 2
- Pages
- 74-78
- ISSN
- 1073-8584 (ISSN-L)
- 1089-4098
- OpenAlex
- W2112567759
- Cited by
- 163
- References
- 1
- FWCI
- 0.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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