Frequency and Laminar Profile of Feature Specific Visual Activity Revealed by Interleaved EEG-fMRI
Abstract
The role of cortical oscillations in brain function has been extensively debated, resulting in a variety of theoretical frameworks. Using inter-leaved simultaneous EEG-fMRI, we examined the layer-specific relationship between oscillatory activity and visual processing. We could demonstrate that γ-band activity positively correlates with feature specific signals in superficial layers, but we were able to report a deep layer contribution as well. In addition, we could demonstrate that α-band power not only correlates negatively with the feature unspecific BOLD signal, but related to feature specific BOLD as well. Lower frequency α was pre-dominantly related to feature unspecific superficial layer BOLD, while upper frequency α was found to be related to feature specific BOLD in superficial and deep layers. We conclude that the role of α-band oscillations extends beyond widespread inhibition and might be involved in active stimulus processing to the level of visual features.
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BibTeX
@article{clausner2026frequency,
title = {{Frequency and Laminar Profile of Feature Specific Visual Activity Revealed by Interleaved EEG-fMRI}},
author = {Tommy Clausner and José Marques and René Scheeringa and Mathilde Bonnefond},
journal = {eLife},
year = {2026},
month = sep,
doi = {10.7554/elife.108408.3},
url = {https://hal.science/hal-04775562v3},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Frequency and Laminar Profile of Feature Specific Visual Activity Revealed by Interleaved EEG-fMRI
AU - Tommy Clausner
AU - José Marques
AU - René Scheeringa
AU - Mathilde Bonnefond
PY - 2026
DA - 2026/09/03
JO - eLife
DO - 10.7554/elife.108408.3
UR - https://hal.science/hal-04775562v3
AB - The role of cortical oscillations in brain function has been extensively debated, resulting in a variety of theoretical frameworks. Using inter-leaved simultaneous EEG-fMRI, we examined the layer-specific relationship between oscillatory activity and visual processing. We could demonstrate that γ-band activity positively correlates with feature specific signals in superficial layers, but we were able to report a deep layer contribution as well. In addition, we could demonstrate that α-band power not only correlates negatively with the feature unspecific BOLD signal, but related to feature specific BOLD as well. Lower frequency α was pre-dominantly related to feature unspecific superficial layer BOLD, while upper frequency α was found to be related to feature specific BOLD in superficial and deep layers. We conclude that the role of α-band oscillations extends beyond widespread inhibition and might be involved in active stimulus processing to the level of visual features.
SN - 2050-084X
ER -