Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.
During resting-state EEG recordings, alpha activity is more prominent over the posterior cortex in eyes-closed (EC) conditions compared to eyes-open (EO). In this study, we characterized the difference in spectra between EO and EC conditions using dynamic causal modelling. Specifically, we investiga...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-12-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1009988 |
| _version_ | 1811167257765609472 |
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| author | Frederik Van de Steen Dimitris Pinotsis Wouter Devos Nigel Colenbier Iege Bassez Karl Friston Daniele Marinazzo |
| author_facet | Frederik Van de Steen Dimitris Pinotsis Wouter Devos Nigel Colenbier Iege Bassez Karl Friston Daniele Marinazzo |
| author_sort | Frederik Van de Steen |
| collection | DOAJ |
| description | During resting-state EEG recordings, alpha activity is more prominent over the posterior cortex in eyes-closed (EC) conditions compared to eyes-open (EO). In this study, we characterized the difference in spectra between EO and EC conditions using dynamic causal modelling. Specifically, we investigated the role of intrinsic and extrinsic connectivity-within the visual cortex-in generating EC-EO alpha power differences over posterior electrodes. The primary visual cortex (V1) and the bilateral middle temporal visual areas (V5) were equipped with bidirectional extrinsic connections using a canonical microcircuit. The states of four intrinsically coupled subpopulations-within each occipital source-were also modelled. Using Bayesian model selection, we tested whether modulations of the intrinsic connections in V1, V5 or extrinsic connections (or a combination thereof) provided the best evidence for the data. In addition, using parametric empirical Bayes (PEB), we estimated group averages under the winning model. Bayesian model selection showed that the winning model contained both extrinsic connectivity modulations, as well as intrinsic connectivity modulations in all sources. The PEB analysis revealed increased extrinsic connectivity during EC. Overall, we found a reduction in the inhibitory intrinsic connections during EC. The results suggest that the intrinsic modulations in V5 played the most important role in producing EC-EO alpha differences, suggesting an intrinsic disinhibition in higher order visual cortex, during EC resting state. |
| first_indexed | 2024-04-10T16:06:16Z |
| format | Article |
| id | doaj.art-aa497933ebf942e1aba0ef7fce4507f5 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-04-10T16:06:16Z |
| publishDate | 2022-12-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-aa497933ebf942e1aba0ef7fce4507f52023-02-10T05:30:46ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582022-12-011812e100998810.1371/journal.pcbi.1009988Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex.Frederik Van de SteenDimitris PinotsisWouter DevosNigel ColenbierIege BassezKarl FristonDaniele MarinazzoDuring resting-state EEG recordings, alpha activity is more prominent over the posterior cortex in eyes-closed (EC) conditions compared to eyes-open (EO). In this study, we characterized the difference in spectra between EO and EC conditions using dynamic causal modelling. Specifically, we investigated the role of intrinsic and extrinsic connectivity-within the visual cortex-in generating EC-EO alpha power differences over posterior electrodes. The primary visual cortex (V1) and the bilateral middle temporal visual areas (V5) were equipped with bidirectional extrinsic connections using a canonical microcircuit. The states of four intrinsically coupled subpopulations-within each occipital source-were also modelled. Using Bayesian model selection, we tested whether modulations of the intrinsic connections in V1, V5 or extrinsic connections (or a combination thereof) provided the best evidence for the data. In addition, using parametric empirical Bayes (PEB), we estimated group averages under the winning model. Bayesian model selection showed that the winning model contained both extrinsic connectivity modulations, as well as intrinsic connectivity modulations in all sources. The PEB analysis revealed increased extrinsic connectivity during EC. Overall, we found a reduction in the inhibitory intrinsic connections during EC. The results suggest that the intrinsic modulations in V5 played the most important role in producing EC-EO alpha differences, suggesting an intrinsic disinhibition in higher order visual cortex, during EC resting state.https://doi.org/10.1371/journal.pcbi.1009988 |
| spellingShingle | Frederik Van de Steen Dimitris Pinotsis Wouter Devos Nigel Colenbier Iege Bassez Karl Friston Daniele Marinazzo Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. PLoS Computational Biology |
| title | Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. |
| title_full | Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. |
| title_fullStr | Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. |
| title_full_unstemmed | Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. |
| title_short | Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex. |
| title_sort | dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex |
| url | https://doi.org/10.1371/journal.pcbi.1009988 |
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