The Pre-Interictal Network State in Idiopathic Generalized Epilepsies
Generalized spike wave discharges (GSWDs) are the typical electroencephalographic findings of Idiopathic Generalized Epilepsies (IGEs). These discharges are either interictal or ictal and recent evidence suggests differences in their pathogenesis. The aim of this study is to investigate, through fun...
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MDPI AG
2023-12-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/13/12/1671 |
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| author | Dimitrios Pitetzis Christos Frantzidis Elizabeth Psoma Smaranda Nafsika Ketseridou Georgia Deretzi Anna Kalogera-Fountzila Panagiotis D. Bamidis Martha Spilioti |
| author_facet | Dimitrios Pitetzis Christos Frantzidis Elizabeth Psoma Smaranda Nafsika Ketseridou Georgia Deretzi Anna Kalogera-Fountzila Panagiotis D. Bamidis Martha Spilioti |
| author_sort | Dimitrios Pitetzis |
| collection | DOAJ |
| description | Generalized spike wave discharges (GSWDs) are the typical electroencephalographic findings of Idiopathic Generalized Epilepsies (IGEs). These discharges are either interictal or ictal and recent evidence suggests differences in their pathogenesis. The aim of this study is to investigate, through functional connectivity analysis, the pre-interictal network state in IGEs, which precedes the formation of the interictal GSWDs. A high-density electroencephalogram (HD-EEG) was recorded in twenty-one patients with IGEs, and cortical connectivity was analyzed based on lagged coherence and individual anatomy. Graph theory analysis was used to estimate network features, assessed using the characteristic path length and clustering coefficient. The functional connectivity analysis identified two distinct networks during the pre-interictal state. These networks exhibited reversed connectivity attributes, reflecting synchronized activity at 3–4 Hz (delta2), and desynchronized activity at 8–10.5 Hz (alpha1). The delta2 network exhibited a statistically significant (<i>p</i> < 0.001) decrease in characteristic path length and an increase in the mean clustering coefficient. In contrast, the alpha1 network showed opposite trends in these features. The nodes influencing this state were primarily localized in the default mode network (DMN), dorsal attention network (DAN), visual network (VIS), and thalami. In conclusion, the coupling of two networks defined the pre-interictal state in IGEs. This state might be considered as a favorable condition for the generation of interictal GSWDs. |
| first_indexed | 2024-03-08T20:56:52Z |
| format | Article |
| id | doaj.art-87d84c2f924c436bb0b7e3b49a8ac877 |
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| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-08T20:56:52Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-87d84c2f924c436bb0b7e3b49a8ac8772023-12-22T13:57:12ZengMDPI AGBrain Sciences2076-34252023-12-011312167110.3390/brainsci13121671The Pre-Interictal Network State in Idiopathic Generalized EpilepsiesDimitrios Pitetzis0Christos Frantzidis1Elizabeth Psoma2Smaranda Nafsika Ketseridou3Georgia Deretzi4Anna Kalogera-Fountzila5Panagiotis D. Bamidis6Martha Spilioti7Department of Neurology, Papageorgiou General Hospital, 56403 Thessaloniki, GreeceLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceDepartment of Radiology, AHEPA General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636 Thessaloniki, GreeceLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, GreeceDepartment of Neurology, Papageorgiou General Hospital, 56403 Thessaloniki, GreeceDepartment of Radiology, AHEPA General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636 Thessaloniki, GreeceLab of Medical Physics and Digital Innovation, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece1st Department of Neurology, AHEPA General Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54636 Thessaloniki, GreeceGeneralized spike wave discharges (GSWDs) are the typical electroencephalographic findings of Idiopathic Generalized Epilepsies (IGEs). These discharges are either interictal or ictal and recent evidence suggests differences in their pathogenesis. The aim of this study is to investigate, through functional connectivity analysis, the pre-interictal network state in IGEs, which precedes the formation of the interictal GSWDs. A high-density electroencephalogram (HD-EEG) was recorded in twenty-one patients with IGEs, and cortical connectivity was analyzed based on lagged coherence and individual anatomy. Graph theory analysis was used to estimate network features, assessed using the characteristic path length and clustering coefficient. The functional connectivity analysis identified two distinct networks during the pre-interictal state. These networks exhibited reversed connectivity attributes, reflecting synchronized activity at 3–4 Hz (delta2), and desynchronized activity at 8–10.5 Hz (alpha1). The delta2 network exhibited a statistically significant (<i>p</i> < 0.001) decrease in characteristic path length and an increase in the mean clustering coefficient. In contrast, the alpha1 network showed opposite trends in these features. The nodes influencing this state were primarily localized in the default mode network (DMN), dorsal attention network (DAN), visual network (VIS), and thalami. In conclusion, the coupling of two networks defined the pre-interictal state in IGEs. This state might be considered as a favorable condition for the generation of interictal GSWDs.https://www.mdpi.com/2076-3425/13/12/1671EEGcortical connectivitygraph theory analysis |
| spellingShingle | Dimitrios Pitetzis Christos Frantzidis Elizabeth Psoma Smaranda Nafsika Ketseridou Georgia Deretzi Anna Kalogera-Fountzila Panagiotis D. Bamidis Martha Spilioti The Pre-Interictal Network State in Idiopathic Generalized Epilepsies Brain Sciences EEG cortical connectivity graph theory analysis |
| title | The Pre-Interictal Network State in Idiopathic Generalized Epilepsies |
| title_full | The Pre-Interictal Network State in Idiopathic Generalized Epilepsies |
| title_fullStr | The Pre-Interictal Network State in Idiopathic Generalized Epilepsies |
| title_full_unstemmed | The Pre-Interictal Network State in Idiopathic Generalized Epilepsies |
| title_short | The Pre-Interictal Network State in Idiopathic Generalized Epilepsies |
| title_sort | pre interictal network state in idiopathic generalized epilepsies |
| topic | EEG cortical connectivity graph theory analysis |
| url | https://www.mdpi.com/2076-3425/13/12/1671 |
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