Localized activity alternations in periventricular nodular heterotopia-related epilepsy.
activity
epilepsy
pathological mechanism
periventricular nodular heterotopia
Journal
CNS neuroscience & therapeutics
ISSN: 1755-5949
Titre abrégé: CNS Neurosci Ther
Pays: England
ID NLM: 101473265
Informations de publication
Date de publication:
05 2023
05 2023
Historique:
revised:
17
01
2023
received:
24
04
2022
accepted:
18
01
2023
medline:
4
4
2023
pubmed:
6
2
2023
entrez:
5
2
2023
Statut:
ppublish
Résumé
Periventricular nodular heterotopia (PNH) is a common type of heterotopia usually characterized by epilepsy. Previous studies have identified alterations in structural and functional connectivity related to this disorder, but its local functional neural basis has received less attention. The purpose of this study was to combine univariate analysis and a Gaussian process classifier (GPC) to assess local activity and further explore neuropathological mechanisms in PNH-related epilepsy. We used a 3.0-T scanner to acquire resting-state data and measure local regional homogeneity (ReHo) alterations in 38 patients with PNH-related epilepsy and 38 healthy controls (HCs). We first assessed ReHo alterations by comparing the PNH group to the HC group using traditional univariate analysis. Next, we applied a GPC to explore whether ReHo could be used to differentiate PNH patients from healthy patients at an individual level. Compared to HCs, PNH-related epilepsy patients exhibited lower ReHo in the left insula extending to the putamen as well as in the subgenual anterior cingulate cortex (sgACC) extending to the orbitofrontal cortex (OFC) [p < 0.05, family-wise error corrected]. Both of these regions were also correlated with epilepsy duration. Furthermore, the ReHo GPC classification yielded a 76.32% accuracy (sensitivity = 71.05% and specificity = 81.58%) with p < 0.001 after permutation testing. Using the resting-state approach, we identified localized activity alterations in the left insula extending to the putamen and the sgACC extending to the OFC, providing pathophysiological evidence of PNH. These local connectivity patterns may provide a means to differentiate PNH patients from HCs.
Identifiants
pubmed: 36740260
doi: 10.1111/cns.14104
pmc: PMC10068461
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1325-1331Informations de copyright
© 2023 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd.
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