The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Neural Dynamics and the Fundamental Mechanisms of Event-related Brain Potentials
Abstract
Event-related potentials (ERPs) provide a critical link between the hemodynamic response, as measured by functional magnetic resonance imaging, and the dynamics of the underlying neuronal activity. Single-trial ERP recordings capture the oscillatory activity that are hypothesized to underlie both communication between brain regions and amplified processing of behaviorally relevant stimuli. However, precise interpretations of ERPs are precluded by uncertainty about their neural mechanisms. One influential theory holds that averaged sensory ERPs are generated by partial phase resetting of ongoing electroencephalographic oscillations, while another states that ERPs result from stimulus-evoked neural responses. We formulated critical predictions of each theory and tested these using direct, intracortical analyses of neural activity in monkeys. Our findings support a predominant role for stimulus-evoked activity in sensory ERP generation, and they outline both logic and methodology necessary for differentiating evoked and phase resetting contributions to cognitive and motor ERPs in future studies.
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Cited by
Low-frequency neuronal oscillations as instruments of sensory selection
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The steady-state visual evoked potential in vision research: A review
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Neuronal oscillations and multisensory interaction in primary auditory cortex
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A brief introduction to the use of event-related potentials in studies of perception and attention
Woodman, G. F. (2010) · Attention Perception & Psychophysics · doi:10.3758/app.72.8.2031 · Cited by 632
What does phase information of oscillatory brain activity tell us about cognitive processes?
Sauseng, P., & Klimesch, W. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.03.014 · Cited by 532
Metadata
- Authors
- Shah, A. S.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-03-28
- Volume
- 14
- Issue
- 5
- Pages
- 476-483
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2004736131
- Cited by
- 277
- References
- 28
- FWCI
- 7.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
