Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset
Abstract Understanding the intricate dynamics of epileptic networks at the mesoscale is crucial for advancing our knowledge of epilepsy pathophysiology and developing targeted interventions. In this data descriptor, we present a comprehensive dataset encompassing intracranial electroencephalography...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05026-4 |
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| author | Vasiliki Bougou Michaël Vanhoyland Evy Cleeren Peter Janssen Wim Van Paesschen Tom Theys |
| author_facet | Vasiliki Bougou Michaël Vanhoyland Evy Cleeren Peter Janssen Wim Van Paesschen Tom Theys |
| author_sort | Vasiliki Bougou |
| collection | DOAJ |
| description | Abstract Understanding the intricate dynamics of epileptic networks at the mesoscale is crucial for advancing our knowledge of epilepsy pathophysiology and developing targeted interventions. In this data descriptor, we present a comprehensive dataset encompassing intracranial electroencephalography (iEEG) recordings, Local Field Potentials (LFP), and Multiunit Activity (MUA) data obtained from Microelectrode arrays (MEA; Utah array; Blackrock). 12 seizures were recorded in 5 epilepsy patients with the MEA. Our dataset offers a unique opportunity to investigate the complex interactions between diverse neural signals across brain areas and to study the mesoscale networks in focal epilepsy. This dataset can be used to explore the modulations of LFP and MUA in conjunction with iEEG, offering potential insights into the spatiotemporal dynamics of epileptic networks. Additionally, the high temporal resolution of the data allows for the computation of High-Frequency Oscillations (HFOs) in both LFP and iEEG signals, facilitating the investigation of their potential relationship with MUA activity. |
| format | Article |
| id | doaj-art-dfe7a8c9ea8d4936b433d9fdb39592eb |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-dfe7a8c9ea8d4936b433d9fdb39592eb2025-08-20T02:15:00ZengNature PortfolioScientific Data2052-44632025-05-0112111610.1038/s41597-025-05026-4Mesoscale insights in Epileptic Networks: A Multimodal Intracranial DatasetVasiliki Bougou0Michaël Vanhoyland1Evy Cleeren2Peter Janssen3Wim Van Paesschen4Tom Theys5Research Group of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven and the Leuven Brain InstituteResearch Group of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven and the Leuven Brain InstituteDepartment of Neurology, University Hospitals LeuvenLaboratory for Neuro – and Psychophysiology, Research Group Neurophysiology, Department of Neurosciences, KU Leuven and the Leuven Brain InstituteDepartment of Neurology, University Hospitals LeuvenResearch Group of Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven and the Leuven Brain InstituteAbstract Understanding the intricate dynamics of epileptic networks at the mesoscale is crucial for advancing our knowledge of epilepsy pathophysiology and developing targeted interventions. In this data descriptor, we present a comprehensive dataset encompassing intracranial electroencephalography (iEEG) recordings, Local Field Potentials (LFP), and Multiunit Activity (MUA) data obtained from Microelectrode arrays (MEA; Utah array; Blackrock). 12 seizures were recorded in 5 epilepsy patients with the MEA. Our dataset offers a unique opportunity to investigate the complex interactions between diverse neural signals across brain areas and to study the mesoscale networks in focal epilepsy. This dataset can be used to explore the modulations of LFP and MUA in conjunction with iEEG, offering potential insights into the spatiotemporal dynamics of epileptic networks. Additionally, the high temporal resolution of the data allows for the computation of High-Frequency Oscillations (HFOs) in both LFP and iEEG signals, facilitating the investigation of their potential relationship with MUA activity.https://doi.org/10.1038/s41597-025-05026-4 |
| spellingShingle | Vasiliki Bougou Michaël Vanhoyland Evy Cleeren Peter Janssen Wim Van Paesschen Tom Theys Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset Scientific Data |
| title | Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset |
| title_full | Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset |
| title_fullStr | Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset |
| title_full_unstemmed | Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset |
| title_short | Mesoscale insights in Epileptic Networks: A Multimodal Intracranial Dataset |
| title_sort | mesoscale insights in epileptic networks a multimodal intracranial dataset |
| url | https://doi.org/10.1038/s41597-025-05026-4 |
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