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Laminar Profile and Physiology of the α Rhythm in Primary Visual, Auditory, and Somatosensory Regions of Neocortex
Open accessAbstract
The functional significance of the α rhythm is widely debated. It has been proposed that α reflects sensory inhibition and/or a temporal sampling or “parsing” mechanism. There is also continuing disagreement over the more fundamental questions of which cortical layers generate α rhythms and whether the generation of α is equivalent across sensory systems. To address these latter questions, we analyzed laminar profiles of local field potentials (LFPs) and concomitant multiunit activity (MUA) from macaque V1, S1, and A1 during both spontaneous activity and sensory stimulation. Current source density (CSD) analysis of laminar LFP profiles revealed α current generators in the supragranular, granular, and infragranular layers. MUA phase-locked to local current source/sink configurations confirmed that α rhythms index local neuronal excitability fluctuations. CSD-defined α generators were strongest in the supragranular layers, whereas LFP α power was greatest in the infragranular layers, consistent with some of the previous reports. The discrepancy between LFP and CSD findings appears to be attributable to contamination of the infragranular LFP signal by activity that is volume-conducted from the stronger supragranular α generators. The presence of α generators across cortical depth in V1, S1, and A1 suggests the involvement of α in feedforward as well as feedback processes and is consistent with the view that α rhythms, perhaps in addition to a role in sensory inhibition, may parse sensory input streams in a way that facilitates communication across cortical areas. SIGNIFICANCE STATEMENT The α rhythm is thought to reflect sensory inhibition and/or a temporal parsing mechanism. Here, we address two outstanding issues: (1) whether α is a general mechanism across sensory systems and (2) which cortical layers generate α oscillations. Using intracranial recordings from macaque V1, S1, and A1, we show α band activity with a similar spectral and laminar profile in each of these sensory areas. Furthermore, α generators were present in each of the cortical layers, with a strong source in superficial layers. We argue that previous findings, locating α generators exclusively in the deeper layers, were biased because of use of less locally specific local field potential measurements. The laminar distribution of α band activity appears more complex than generally assumed.
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Cites
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
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Neuronal Mechanisms and Attentional Modulation of Corticothalamic Alpha Oscillations
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Self-citationLayer-Specific Entrainment of Gamma-Band Neural Activity by the Alpha Rhythm in Monkey Visual Cortex
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“In combination with other recent findings (Busch et al., 2009; Dugué et al., 2011; Saalmann et al., 2012), our results argue instead that operates in both feedforward and feedback processes.”
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Infragranular sources of sustained local field potential responses in macaque primary visual cortex
Maier, A., Aura, C. J., & Leopold, D. A. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5300-09.2011 · Cited by 99
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Cohen, M. X. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.02.004 · Cited by 722
Thalamus Modulates Consciousness via Layer-Specific Control of Cortex
Redinbaugh, M. J., Phillips, J. M., Kambi, N. A., Mohanta, S., Andryk, S., Dooley, G. L., Afrasiabi, M., Raz, A., & Saalmann, Y. B. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.005 · Cited by 391
Brain Networks and α-Oscillations: Structural and Functional Foundations of Cognitive Control
Sadaghiani, S., & Kleinschmidt, A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.004 · Cited by 437
The generation and propagation of the human alpha rhythm
Halgren, M., Ulbert, I., Bastuji, H., Fabó, D., Erőss, L., Rey, M., Devinsky, O., Doyle, W. K., Mak-McCully, R., Halgren, E., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1913092116 · Cited by 425
Subcortical electrophysiological activity is detectable with high-density EEG source imaging
Seeber, M., Cantonas, L.-M., Hoevels, M., Sesia, T., Visser-Vandewalle, V., & Michel, C. M. (2019) · Nature Communications · doi:10.1038/s41467-019-08725-w · Cited by 294
Metadata
- Authors
- Haegens, S., Barczak, A., Musacchia, G., Lipton, M. L., Mehta, A. D., Lakatos, P., & Schroeder, C. E.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2015-10-21
- Volume
- 35
- Issue
- 42
- Pages
- 14341-14352
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2180627541
- Cited by
- 202
- References
- 9
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Haegens, S., Barczak, A., Musacchia, G., Lipton, M. L., Mehta, A. D., Lakatos, P., & Schroeder, C. E. (2015). Laminar Profile and Physiology of the α Rhythm in Primary Visual, Auditory, and Somatosensory Regions of Neocortex. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0600-15.2015
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