Relating neural oscillations to laminar fMRI connectivity in visual cortex

René Scheeringa; Mathilde Bonnefond; Tim van Mourik; Ole Jensen; David G Norris; Peter J Koopmans

doi:10.1093/cercor/bhac154

Relating neural oscillations to laminar fMRI connectivity in visual cortex

René Scheeringa^*, Mathilde Bonnefond, Tim van Mourik, Ole Jensen, David G Norris, Peter J Koopmans

^*Corresponding author for this work

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Abstract

Laminar functional magnetic resonance imaging (fMRI) holds the potential to study connectivity at the laminar level in humans. Here we analyze simultaneously recorded electroencephalography (EEG) and high-resolution fMRI data to investigate how EEG power modulations, induced by a task with an attentional component, relate to changes in fMRI laminar connectivity between and within brain regions in visual cortex. Our results indicate that our task-induced decrease in beta power relates to an increase in deep-to-deep layer coupling between regions and to an increase in deep/middle-to-superficial layer connectivity within brain regions. The attention-related alpha power decrease predominantly relates to reduced connectivity between deep and superficial layers within brain regions, since, unlike beta power, alpha power was found to be positively correlated to connectivity. We observed no strong relation between laminar connectivity and gamma band oscillations. These results indicate that especially beta band, and to a lesser extent, alpha band oscillations relate to laminar-specific fMRI connectivity. The differential effects for alpha and beta bands indicate that they relate to different feedback-related neural processes that are differentially expressed in intra-region laminar fMRI-based connectivity.

Original language	English
Article number	bhac154
Pages (from-to)	1537-1549
Number of pages	13
Journal	Cerebral Cortex
Volume	33
Issue number	5
Early online date	5 May 2022
DOIs	https://doi.org/10.1093/cercor/bhac154
Publication status	Published - 1 Mar 2023

Bibliographical note

Funding:
This work was funded by the Emmy Noether Programme of the Deutsche Forschungsgemeinschaft (DFG), Grant KO 5341/1-1 to PJK. RS and MB acknowledge support for the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC starting grant agreement no 716862. The data were recorded in a project funded by a grant from the Dutch Research Council (NWO) to RS (Veni scheme 451-12-021). Conflict of interest statement: None declared.

Publisher Copyright:
© 2022 The Author(s). Published by Oxford University Press.

Keywords

laminar-fMRI
connectivity
EEG
neural oscillations

ASJC Scopus subject areas

Cognitive Neuroscience
Cellular and Molecular Neuroscience

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Cite this

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abstract = "Laminar functional magnetic resonance imaging (fMRI) holds the potential to study connectivity at the laminar level in humans. Here we analyze simultaneously recorded electroencephalography (EEG) and high-resolution fMRI data to investigate how EEG power modulations, induced by a task with an attentional component, relate to changes in fMRI laminar connectivity between and within brain regions in visual cortex. Our results indicate that our task-induced decrease in beta power relates to an increase in deep-to-deep layer coupling between regions and to an increase in deep/middle-to-superficial layer connectivity within brain regions. The attention-related alpha power decrease predominantly relates to reduced connectivity between deep and superficial layers within brain regions, since, unlike beta power, alpha power was found to be positively correlated to connectivity. We observed no strong relation between laminar connectivity and gamma band oscillations. These results indicate that especially beta band, and to a lesser extent, alpha band oscillations relate to laminar-specific fMRI connectivity. The differential effects for alpha and beta bands indicate that they relate to different feedback-related neural processes that are differentially expressed in intra-region laminar fMRI-based connectivity.",

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note = "Funding: This work was funded by the Emmy Noether Programme of the Deutsche Forschungsgemeinschaft (DFG), Grant KO 5341/1-1 to PJK. RS and MB acknowledge support for the European Research Council under the European Union{\textquoteright}s Seventh Framework Programme (FP7/2007–2013)/ERC starting grant agreement no 716862. The data were recorded in a project funded by a grant from the Dutch Research Council (NWO) to RS (Veni scheme 451-12-021). Conflict of interest statement: None declared. Publisher Copyright: {\textcopyright} 2022 The Author(s). Published by Oxford University Press.",

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N2 - Laminar functional magnetic resonance imaging (fMRI) holds the potential to study connectivity at the laminar level in humans. Here we analyze simultaneously recorded electroencephalography (EEG) and high-resolution fMRI data to investigate how EEG power modulations, induced by a task with an attentional component, relate to changes in fMRI laminar connectivity between and within brain regions in visual cortex. Our results indicate that our task-induced decrease in beta power relates to an increase in deep-to-deep layer coupling between regions and to an increase in deep/middle-to-superficial layer connectivity within brain regions. The attention-related alpha power decrease predominantly relates to reduced connectivity between deep and superficial layers within brain regions, since, unlike beta power, alpha power was found to be positively correlated to connectivity. We observed no strong relation between laminar connectivity and gamma band oscillations. These results indicate that especially beta band, and to a lesser extent, alpha band oscillations relate to laminar-specific fMRI connectivity. The differential effects for alpha and beta bands indicate that they relate to different feedback-related neural processes that are differentially expressed in intra-region laminar fMRI-based connectivity.

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Relating neural oscillations to laminar fMRI connectivity in visual cortex

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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