Laminar analysis of visually evoked activity in the primary visual cortex
Open accessAbstract
Studying the laminar pattern of neural activity is crucial for understanding the processing of neural signals in the cerebral cortex. We measured neural population activity [multiunit spike activity (MUA) and local field potential, LFP] in Macaque primary visual cortex (V1) in response to drifting grating stimuli. Sustained visually driven MUA was at an approximately constant level across cortical depth in V1. However, sustained, visually driven, local field potential power, which was concentrated in the γ-band (20–60 Hz), was greatest at the cortical depth corresponding to cortico-cortical output layers 2, 3, and 4B. γ-band power also tends to be more sustained in the output layers. Overall, cortico-cortical output layers accounted for 67% of total γ-band activity in V1, whereas 56% of total spikes evoked by drifting gratings were from layers 2, 3, and 4B. The high-resolution layer specificity of γ-band power, the laminar distribution of MUA and γ-band activity, and their dynamics imply that neural activity in V1 is generated by laminar-specific mechanisms. In particular, visual responses of MUA and γ-band activity in cortico-cortical output layers 2, 3, and 4B seem to be strongly influenced by laminar-specific recurrent circuitry and/or feedback.
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Gamma power is higher in superficial, feedforward, cortical layers, and alpha/beta power is higher in deep, feedback, cortical layers.
“This is consistent with gamma power being higher in the superficial, feedforward, cortical layers, and alpha/beta power being higher in the deep, feedback, cortical layers (26, 35–40).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [40]
The passage on visually driven LFP γ-power (page unavailable) reports that sustained gamma power is highest in V1 layers 2, 3, and 4B and lower in deeper layers. The paper does not establish that alpha/beta power is higher in deep layers. It also describes sustained gamma activity in output layers as potentially arising from recurrent or feedback interactions, rather than identifying it simply as feedforward activity. (LLM, conf=0.88)
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“This is consistent with gamma power being higher in the superficial, feedforward, cortical layers, and alpha/beta power being higher in the deep, feedback, cortical layers (26, 35 – 40).”
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- Authors
- Xing, D., Yeh, C.-I., Burns, S., & Shapley, R. M.
- Affiliations
- New York University (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2012-08-07
- Volume
- 109
- Issue
- 34
- Pages
- 13871-13876
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3427063
- OpenAlex
- W2061665919
- Cited by
- 191
- References
- 53
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 7 · 2023: 9 · 2022: 19 · 2021: 17 · 2020: 22 · 2019: 8 · 2018: 13 · 2017: 14 · 2016: 16 · 2015: 20 · 2014: 17 · 2013: 10 · 2012: 1
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (T32EY007158, R01EY 01472, R01EY001472)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- primary visual cortex, laminar organization, local field potentials, gamma oscillations, cortical depth, feedback, macaque
- MeSH terms
- Action Potentials, Animals, Brain Mapping, Electrodes, Electrophysiology, Evoked Potentials, Visual, Macaca, Models, Biological, Neurons, Photic Stimulation, Signal Processing, Computer-Assisted, Time Factors, Visual Cortex, Visual Perception
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