A phase-shifting anterior-posterior network organizes global phase relations.
Prior research has identified a variety of task-dependent networks that form through inter-regional phase-locking of oscillatory activity that are neural correlates of specific behaviors. Despite ample knowledge of task-specific functional networks, general rules governing global phase relations hav...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2024-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296827&type=printable |
| _version_ | 1827348641948368896 |
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| author | Melisa Menceloglu Marcia Grabowecky Satoru Suzuki |
| author_facet | Melisa Menceloglu Marcia Grabowecky Satoru Suzuki |
| author_sort | Melisa Menceloglu |
| collection | DOAJ |
| description | Prior research has identified a variety of task-dependent networks that form through inter-regional phase-locking of oscillatory activity that are neural correlates of specific behaviors. Despite ample knowledge of task-specific functional networks, general rules governing global phase relations have not been investigated. To discover such general rules, we focused on phase modularity, measured as the degree to which global phase relations in EEG comprised distinct synchronized clusters interacting with one another at large phase lags. Synchronized clusters were detected with a standard community-detection algorithm, and the degree of phase modularity was quantified by the index q. Notably, we found that the mechanism controlling phase modularity is remarkably simple. A network comprising anterior-posterior long-distance connectivity coherently shifted phase relations from low-angles (|Δθ| < π/4) in low-modularity states (bottom 5% in q) to high-angles (|Δθ| > 3π/4) in high-modularity states (top 5% in q), accounting for fluctuations in phase modularity. This anterior-posterior network may play a fundamental functional role as (1) it controls phase modularity across a broad range of frequencies (3-50 Hz examined) in different behavioral conditions (resting with the eyes closed or watching a silent nature video) and (2) neural interactions (measured as power correlations) in beta-to-gamma bands were consistently elevated in high-modularity states. These results may motivate future investigations into the functional roles of phase modularity as well as the anterior-posterior network that controls it. |
| first_indexed | 2024-03-08T00:15:12Z |
| format | Article |
| id | doaj.art-82a5530aa19645e59dbbb0359e466dfe |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-08T00:15:12Z |
| publishDate | 2024-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-82a5530aa19645e59dbbb0359e466dfe2024-02-17T05:32:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-01192e029682710.1371/journal.pone.0296827A phase-shifting anterior-posterior network organizes global phase relations.Melisa MencelogluMarcia GraboweckySatoru SuzukiPrior research has identified a variety of task-dependent networks that form through inter-regional phase-locking of oscillatory activity that are neural correlates of specific behaviors. Despite ample knowledge of task-specific functional networks, general rules governing global phase relations have not been investigated. To discover such general rules, we focused on phase modularity, measured as the degree to which global phase relations in EEG comprised distinct synchronized clusters interacting with one another at large phase lags. Synchronized clusters were detected with a standard community-detection algorithm, and the degree of phase modularity was quantified by the index q. Notably, we found that the mechanism controlling phase modularity is remarkably simple. A network comprising anterior-posterior long-distance connectivity coherently shifted phase relations from low-angles (|Δθ| < π/4) in low-modularity states (bottom 5% in q) to high-angles (|Δθ| > 3π/4) in high-modularity states (top 5% in q), accounting for fluctuations in phase modularity. This anterior-posterior network may play a fundamental functional role as (1) it controls phase modularity across a broad range of frequencies (3-50 Hz examined) in different behavioral conditions (resting with the eyes closed or watching a silent nature video) and (2) neural interactions (measured as power correlations) in beta-to-gamma bands were consistently elevated in high-modularity states. These results may motivate future investigations into the functional roles of phase modularity as well as the anterior-posterior network that controls it.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296827&type=printable |
| spellingShingle | Melisa Menceloglu Marcia Grabowecky Satoru Suzuki A phase-shifting anterior-posterior network organizes global phase relations. PLoS ONE |
| title | A phase-shifting anterior-posterior network organizes global phase relations. |
| title_full | A phase-shifting anterior-posterior network organizes global phase relations. |
| title_fullStr | A phase-shifting anterior-posterior network organizes global phase relations. |
| title_full_unstemmed | A phase-shifting anterior-posterior network organizes global phase relations. |
| title_short | A phase-shifting anterior-posterior network organizes global phase relations. |
| title_sort | phase shifting anterior posterior network organizes global phase relations |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0296827&type=printable |
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