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Safety and feasibility of oral zinc for patients with GNAO1-related disorders (ZINCGNAO1): an open-label, single-arm, single-centre, pilot trial in Germany -
BACKGROUND: GNAO1-related disorders (GNAO1-RD), caused by variants in GNAO1 encoding the Gαo protein, comprise a broad phenotypic spectrum including movement disorders (MD) and/or epilepsy and are typically associated with developmental delay and intellectual disability. Currently, only symptomatic treatments are available. Zinc can restore guanosine triphosphate hydrolysis and cellular interac...
Nanomedicine for epilepsy: Expanding beyond conventional drug targets -
Epilepsy remains a major neurological disorder characterized by unpredictable seizures and cumulative comorbidities that even endure with standard pharmacotherapy. Conventional antiepileptic drugs (AEDs) are constrained by two interrelated barriers: limited brain penetration due to the blood-brain barrier (BBB), which necessitates high systemic dosing and peripheral toxicity, and a narrow mecha...
Activating Sigma1R by fluoxetine suppresses neuronal ferroptosis in epilepsy by inhibiting MDM2-mediated GPX4 ubiquitination -
CONCLUSIONS: These findings reveal a novel molecular pathway (Sigma1R-JNK/p38 MAPK-MDM2-GPX4 axis) through which FLX inhibits ferroptosis, highlighting its therapeutic potential for epilepsy and other ferroptosis-related neurological disorders.
Quantitative electroencephalogram analysis in juvenile myoclonic epilepsy and its clinical significance -
CONCLUSIONS: The spatial and spectral patterns identified through EEG are consistent with previously reported MEG findings. This indicates that advanced EEG is similar to MEG in its ability to characterize neurophysiological activity. These findings highlight EEG as an efficient and accessible tool for the clinical assessment of JME across health-care settings.
Opposing associations of default mode network and subcortical network efficiency with IQ in children with drug-resistant epilepsy -
Paediatric drug-resistant epilepsy (DRE) is associated with IQ deficits only partially explained by clinical seizure variables (for example, age of onset, seizure burden, seizure location). Given that intelligence depends on efficient large-scale brain networks, structural connectomics provides a complementary mechanistic framework for explaining residual IQ variance. We tested whether brain-ne...
A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy -
Epilepsy is the 4th most prevalent neurological condition with 50 million cases worldwide. Patients with epilepsy bare a disproportionate burden of cognitive decline and psychiatric disorders which remain poorly understood and go unaddressed by current anti-epileptic treatments. Furthermore, pre-clinical work on behavioral comorbidities can be hampered by current testing frameworks which rely o...
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