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Cited by 57Neural dynamics and brain functionEEG and Brain-Computer InterfacesNeuroscience and Neuropharmacology Research

Time and frequency analysis of the brain’s distributed gamma-band system.

Basar, E., Basar-Eroglu, C., Demiralp, T., Schurmann, M.·1995·IEEE Engineering in Medicine and Biology Magazine
DOI 10.1109/51.395322
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Abstract

Several paradigms or strategies-some of them introduced here-were applied to point out that the EEG serves as a functionally relevant signal (or operator) in various frequency channels. These can be brought to resonant behavior depending on functional brain states. The authors emphasize that the EEG-operators are functionally significant if 1-4 Hz, 4-7 Hz, 8-13 Hz, or 40 Hz activities can be brought to a resonant state with a high degree of synchrony. The time-locking of an internally induced EEG fragment may depend on the specific behavior (for example induced alpha templates prior to a cognitive target, 40 Hz induced rhythmicities with 300 ms latency in hippocampus during cognitive tasks). For topographic aspects see, e.g., Schurmann & Basar (1994) and Basar & Schurmann (1994). The authors assume that the analysis of evoked potentials (EPs) performed within the scope of resonance phenomena and/or induced rhythmicities can be developed into a most important tool to understand and to inter-relate sensory and cognitive functions of the brain. Once the physiological significance of 10 Hz and 40 Hz resonance phenomena is established, the type of component analysis here presented provides, the authors believe, an excellent possibility to describe functional states of the intact brain during consciousness. The authors assume that by using such methods, the analysis of EEG, sensory EPs, and event-related potentials will experience a renaissance in functional brain research.>

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  • EEG based on VEP paradigms prefer to employ the time-series signal as input, which has the strict requirement of being time-locked and contains more obvious features in time sequence.

    “While the EEG based on VEP paradigms prefer to employ the time-series signal as the input, which has the strict requirement of being time-locked and contains more obvious features in time sequence (Basar et al., 1995; Kolev and Schurmann, 2009; Meng et al., 2014).”

    From Data Augmentation for Deep Neural Networks Model in EEG Classification Task: A Review (2021) · cites this paper as Basar et al., 1995

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Authors
Basar, E., Basar-Eroglu, C., Demiralp, T., & Schurmann, M.
Affiliations
University of Lübeck (DE)
Venue
IEEE Engineering in Medicine and Biology Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1995
Volume
14
Issue
4
Pages
400-410
ISSN
0739-5175 (ISSN-L)
DOI
10.1109/51.395322
OpenAlex
W2121953020
Cited by
57
References
69
Citations by year
2021: 2 · 2019: 1 · 2018: 1 · 2017: 2 · 2016: 1 · 2014: 1 · 2013: 1 · 2012: 1
FWCI
0.64
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations
IEEE Engineering in Medicine and Biology Magazine (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 › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
gamma oscillations, EEG, resonance, 40 Hz oscillations, alpha oscillations, evoked potentials, event-related potentials, brain functional state, consciousness, hippocampus

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