Mapping progressive damage epicenters in epilepsy with generalized tonic-clonic seizures by causal structural covariance network density (CaSCNd).

AIMS: Mapping progressive patterns of structural damage in epilepsies with idiopathic and secondarily generalized tonic-clonic seizures with causal structural covariance networks and multiple analysis strategies. METHODS: Patients with idiopathic generalized tonic-clonic seizures (IGTCS) (n = 114) and secondarily generalized tonic-clonic seizures (SGTCS) (n = 125) were recruited. Morphometric parameter of gray matter volume was analyzed on structural MRI. Structural covariance network based on granger causality analysis (CaSCN) was performed on the cross-sectional morphometric data sorted by disease durations of patients. Seed-based CaSCN analysis was firstly carried out to map the progressive and influential patterns of damage to thalamus-related structures. A novel technique for voxel-based CaSCN density (CaSCNd) analysis was further proposed, enabling for identifying the epicenter of structural brain damage during the disease process. RESULTS: The thalamus-associated CaSCNs demonstrated different patterns of progressive damage in two types of generalized tonic-clonic seizures. In IGTCS, the structural damage was predominantly driven from the thalamus, and expanded to the cortex, while in SGTCS, the damage was predominantly driven from the cortex, and expanded to the thalamus through the basal ganglia. CaSCNd analysis revealed that the IGTCS had an out-effect epicenter in the thalamus, whereas the SGTCS had equipotent in- and out-effects in the thalamus, cortex, and basal ganglia. CONCLUSION: CaSCN revealed distinct damage patterns in the two types of GTCS, featuring with measurement of structural brain damage from the accumulating effect over a relatively long time period. Our work provided evidence for understanding network impairment mechanism underlying different GTCSs.

Altered White-Matter Functional Network in Children with Idiopathic Generalized Epilepsy.

RATIONALE AND OBJECTIVES: The white matter (WM) functional network changes offers insights into the potential pathological mechanisms of certain diseases, the alterations of WM functional network in idiopathic generalized epilepsy (IGE) remain unclear. We aimed to explore the topological characteristics changes of WM functional network in childhood IGE using resting-state functional Magnetic resonance imaging (MRI) and T1-weighted images. METHODS: A total of 84 children (42 IGE and 42 matched healthy controls) were included in this study. Functional and structural MRI data were acquired to construct a WM functional network. Group differences in the global and regional topological characteristics were assessed by graph theory and the correlations with clinical and neuropsychological scores were analyzed. A support vector machine algorithm model was employed to classify individuals with IGE using WM functional connectivity as features, and the model's accuracy was evaluated using leave-one-out cross-validation. RESULTS: In IGE group, at the network level, the WM functional network exhibited increased assortativity; at the nodal level, 17 nodes presented nodal disturbances in WM functional network, and nodal disturbances of 11 nodes were correlated with cognitive performance scores, disease duration and age of onset. The classification model achieved the 72.6% accuracy, 0.746 area under the curve, 69.1% sensitivity, 76.2% specificity. CONCLUSION: Our study demonstrated that the WM functional network topological properties changes in childhood IGE, which were associated with cognitive function, and WM functional network may help clinical classification for childhood IGE. These findings provide novel information for understanding the pathogenesis of IGE and suggest that the WM function network might be qualified as potential biomarkers.

Cambios estructurales cerebrales en epilepsia generalizada idiopática identificados por análisis de imágenes de resonancia magnética automatizados / Cerebral structural changes in generalized idiopathic epilepsy identified by automated magnetic resonance imaging analysis

El objetivo de este estudio fue combinar dos métodos automatizados de análisis estructural de imágenes de resonancia magnética para identificar cambios estructurales en pacientes nacidos en Argentina con epilepsia generalizada idiopática (EGI) en comparación con un grupo control de adultos sanos. Fueron incluidos 28 pacientes con EGI y 26 controles sin diferencias demográficas significativas. El análisis de las estructuras cerebrales se realizó con dos métodos automatizados de análisis de imágenes de resonancia magnética: la morfometría basada en vóxel y con la herramienta de segmentación y registro integrada FSL (FSL-FIRST). FSL mostró una disminución del volumen en ambos tálamos en EGI en comparación con el grupo control (tálamo izquierdo: 8092 mm³ grupo control vs. 7424 mm³ EGI, p = 0.0015; tálamo derecho: 7951 mm³ grupo control vs. 7247 mm³ EGI, p = 0.0016). Se observó una reducción en el volumen de ambos núcleos caudados (izquierdo: 3612 mm³ grupo control vs. 3376 mm³ EGI, p = 0.01; derecho 3683 mm³ grupo control vs. 3459 mm³ EGI, p = 0.04). La morfometría basada en vóxel mostró una disminución del volumen en ambos núcleos caudados en EGI en comparación con el grupo control. Las otras estructuras cerebrales analizadas no mostraron diferencias significativas entre los grupos. Este estudio muestra la reducción en el volumen en las estructuras subcortical, tálamos y núcleos caudados en pacientes con EGI comparado con un grupo control.

The purpose of this study was to combine two automated methods of magnetic resonance imaging (MRI) structural analysis in order to identify structural changes in patients born in Argentina with idiopathic generalized epilepsy (IGE) compared to a healthy adult control group. Twenty-eight patients with IGE and 26 controls with no significant demographic differences were included. The analysis of the brain structures was conducted with two automated methods of magnetic resonance image analysis: voxel-based morphometry and FSL-integrated registration and segmentation toolbox (FSL-FIRST). FSL showed volume decrease in both thalamus in patients with IGE compared to the control group (left: 8092 mm³ control group vs. 7424 mm³ IGE, p = 0.0015; right: 7951 mm³ control group vs. 7247 mm³ IGE, p = 0.0016). A reduction in the volume of both caudate nuclei was also seen (left: 3612 mm³ control group vs. 3376 mm³ IGE, p = 0.01; right: 3683 mm³ control group vs. 3459 mm³ IGE, p = 0.04). Voxel-based-morphometry showed a volume decrease in both caudate nuclei in patients with IGE compared to the control group. The other cerebral structures analyzed did not show significant differences between the groups. In conclusion, this study shows the reduction in volume in the subcortical, thalamic, and caudate nuclei structures in patients with IGE in comparison to control group. This study conducted in our country delves into the analysis of brain structural changes in patients with EGI compared to healthy subjects.