The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Cortical and Subcortical Correlates of Electroencephalographic Alpha Rhythm Modulation
Abstract
Neural correlates of electroencephalographic (EEG) alpha rhythm are poorly understood. Here, we related EEG alpha rhythm in awake humans to blood-oxygen-level-dependent (BOLD) signal change determined by functional magnetic resonance imaging (fMRI). Topographical EEG was recorded simultaneously with fMRI during an open versus closed eyes and an auditory stimulation versus silence condition. EEG was separated into spatial components of maximal temporal independence using independent component analysis. Alpha component amplitudes and stimulus conditions served as general linear model regressors of the fMRI signal time course. In both paradigms, EEG alpha component amplitudes were associated with BOLD signal decreases in occipital areas, but not in thalamus, when a standard BOLD response curve (maximum effect at ∼6 s) was assumed. The part of the alpha regressor independent of the protocol condition, however, revealed significant positive thalamic and mesencephalic correlations with a mean time delay of ∼2.5 s between EEG and BOLD signals. The inverse relationship between EEG alpha amplitude and BOLD signals in primary and secondary visual areas suggests that widespread thalamocortical synchronization is associated with decreased brain metabolism. While the temporal relationship of this association is consistent with metabolic changes occurring simultaneously with changes in the alpha rhythm, sites in the medial thalamus and in the anterior midbrain were found to correlate with short time lag. Assuming a canonical hemodynamic response function, this finding is indicative of activity preceding the actual EEG change by some seconds.
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Cites
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
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Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
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
Cited by
Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition
Jensen, O., & Mazaheri, A. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00186 · Cited by 3,237
Electrophysiological signatures of resting state networks in the human brain
Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700668104 · Cited by 1,938
Intelligence and neural efficiency
Neubauer, A. C., & Fink, A. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.04.001 · Cited by 878
Power-Law Scaling in the Brain Surface Electric Potential
Miller, K. J., Sorensen, L. B., Ojemann, J. G., & den Nijs, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000609 · Cited by 742
Kelly, S. P., Lalor, E. C., Reilly, R. B., & Foxe, J. J. (2006) · Journal of Neurophysiology · doi:10.1152/jn.01234.2005 · Cited by 715
Metadata
- Authors
- Feige, B., Scheffler, K., Esposito, F., Di Salle, F., Hennig, J., & Seifritz, E.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2005-05
- Volume
- 93
- Issue
- 5
- Pages
- 2864-2872
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2047737075
- Cited by
- 364
- References
- 3
- FWCI
- 6.24
- Type
- journal article
- Language
- en
- Open access
- closed
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