Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns
The implications of combining structural and functional connectivity to quantify the most active brain regions in seizure onset remain unclear. This study tested a new model that may facilitate the incorporation of diffusion MRI (dMRI) in clinical practice. We obtained structural connectomes from dM...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/20/10487 |
| _version_ | 1797475565948633088 |
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| author | Christina Maher Arkiev D’Souza Michael Barnett Omid Kavehei Chenyu Wang Armin Nikpour |
| author_facet | Christina Maher Arkiev D’Souza Michael Barnett Omid Kavehei Chenyu Wang Armin Nikpour |
| author_sort | Christina Maher |
| collection | DOAJ |
| description | The implications of combining structural and functional connectivity to quantify the most active brain regions in seizure onset remain unclear. This study tested a new model that may facilitate the incorporation of diffusion MRI (dMRI) in clinical practice. We obtained structural connectomes from dMRI and functional connectomes from electroencephalography (EEG) to assess whether high structure-function coupling corresponded with the seizure onset region. We mapped individual electrodes to their nearest cortical region to allow for a one-to-one comparison between the structural and functional connectomes. A seizure laterality score and expected onset zone were defined. The patients with well-lateralised seizures revealed high structure-function coupling consistent with the seizure onset zone. However, a lower seizure lateralisation score translated to reduced alignment between the high structure-function coupling regions and the seizure onset zone. We illustrate that dMRI, in combination with EEG, can improve the identification of the seizure onset zone. Our model may be valuable in enhancing ultra-long-term monitoring by indicating optimal, individualised electrode placement. |
| first_indexed | 2024-03-09T20:46:58Z |
| format | Article |
| id | doaj.art-ad188fda83f74240a79d9265bb22c114 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T20:46:58Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ad188fda83f74240a79d9265bb22c1142023-11-23T22:45:31ZengMDPI AGApplied Sciences2076-34172022-10-0112201048710.3390/app122010487Structure-Function Coupling Reveals Seizure Onset Connectivity PatternsChristina Maher0Arkiev D’Souza1Michael Barnett2Omid Kavehei3Chenyu Wang4Armin Nikpour5School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW 2008, AustraliaBrain and Mind Centre, The University of Sydney, Camperdown, NSW 2050, AustraliaBrain and Mind Centre, The University of Sydney, Camperdown, NSW 2050, AustraliaSchool of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW 2008, AustraliaBrain and Mind Centre, The University of Sydney, Camperdown, NSW 2050, AustraliaDepartment of Neurology, Royal Prince Alfred Hospital, Camperdown, NSW 2050, AustraliaThe implications of combining structural and functional connectivity to quantify the most active brain regions in seizure onset remain unclear. This study tested a new model that may facilitate the incorporation of diffusion MRI (dMRI) in clinical practice. We obtained structural connectomes from dMRI and functional connectomes from electroencephalography (EEG) to assess whether high structure-function coupling corresponded with the seizure onset region. We mapped individual electrodes to their nearest cortical region to allow for a one-to-one comparison between the structural and functional connectomes. A seizure laterality score and expected onset zone were defined. The patients with well-lateralised seizures revealed high structure-function coupling consistent with the seizure onset zone. However, a lower seizure lateralisation score translated to reduced alignment between the high structure-function coupling regions and the seizure onset zone. We illustrate that dMRI, in combination with EEG, can improve the identification of the seizure onset zone. Our model may be valuable in enhancing ultra-long-term monitoring by indicating optimal, individualised electrode placement.https://www.mdpi.com/2076-3417/12/20/10487focal epilepsydiffusion imagingelectroencephalographystructure-function couplingseizure onsetstructural connectivity |
| spellingShingle | Christina Maher Arkiev D’Souza Michael Barnett Omid Kavehei Chenyu Wang Armin Nikpour Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns Applied Sciences focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity |
| title | Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns |
| title_full | Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns |
| title_fullStr | Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns |
| title_full_unstemmed | Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns |
| title_short | Structure-Function Coupling Reveals Seizure Onset Connectivity Patterns |
| title_sort | structure function coupling reveals seizure onset connectivity patterns |
| topic | focal epilepsy diffusion imaging electroencephalography structure-function coupling seizure onset structural connectivity |
| url | https://www.mdpi.com/2076-3417/12/20/10487 |
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