Curvature analysis of perisylvian epilepsy.
Convolutional anatomy
Curvature analysis
Deep perisylvian area
Localization-related epilepsy
Noninvasive focal epileptogenicity localization
Journal
Acta neurologica Belgica
ISSN: 2240-2993
Titre abrégé: Acta Neurol Belg
Pays: Italy
ID NLM: 0247035
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
05
10
2022
accepted:
10
03
2023
medline:
29
11
2023
pubmed:
27
6
2023
entrez:
27
6
2023
Statut:
ppublish
Résumé
We assess whether alterations in the convolutional anatomy of the deep perisylvian area (DPSA) might indicate focal epileptogenicity. The DPSA of each hemisphere was segmented on MRI and a 3D gray-white matter interface (GWMI) geometrical model was constructed. Comparative visual and quantitative assessment of the convolutional anatomy of both the left and right DPSA models was performed. Both the density of thorn-like contours (peak percentage) and coarse interface curvatures was computed using Gaussian curvature and shape index, respectively. The proposed method was applied to a total of 14 subjects; 7 patients with an epileptogenic DPSA and 7 non-epileptic subjects. A high peak percentage correlated well with the epileptogenic DPSA. It distinguished between patients and non-epileptic subjects (P = 0.029) and identified laterality of the epileptic focus in all but one case. A diminished regional curvature also identified epileptogenicity (P = 0.016) and, moreover, its laterality (P = 0.001). An increased peak percentage from a global view of the GWMI of the DPSA provides some indication of a propensity toward a focal or regional DPSA epileptogenicity. A diminished convolutional anatomy (i.e., smoothing effect) appears also to coincide with the epileptogenic site in the DPSA and to distinguish laterality.
Identifiants
pubmed: 37368146
doi: 10.1007/s13760-023-02238-6
pii: 10.1007/s13760-023-02238-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2303-2313Subventions
Organisme : NIH Blueprint for Neuroscience Research
ID : EB002450
Informations de copyright
© 2023. The Author(s) under exclusive licence to Belgian Neurological Society.
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