Validating MEG estimated resting-state connectome with intracranial EEG. [PDF]
Afnan J +9 more
europepmc +1 more source
Morphological patterns of fetal lateral ventricular border irregularities: descriptive study
ABSTRACT Objectives Alterations in the lateral ventricular borders have been documented in the prenatal diagnosis of certain fetal brain conditions. This study aimed to describe and classify the morphological patterns of lateral ventricular border irregularities (LVBI) and to discuss possible etiologies.
E. Hadi +12 more
wiley +1 more source
Factors influencing seizure induction in patients with intracranial EEG recording. [PDF]
Dave H +3 more
europepmc +1 more source
Safer prehospital anaesthesia: updated guidelines from the Association of Anaesthetists
Summary Introduction Prehospital emergency anaesthesia is recognised as a high‐risk clinical intervention. These updated guidelines consider changes in prehospital practice and parallel changes in the practice of in‐hospital emergency anaesthesia, with the aim of encouraging standardised safe anaesthetic practice in a challenging clinical area.
David Lockey +9 more
wiley +1 more source
Stability Analysis of Linear Time Varying Models Constructed from Intracranial EEG Recordings for Modeling Epileptogenic Networks. [PDF]
Coyne CA +6 more
europepmc +1 more source
Implantation and reimplantation of intracranial EEG electrodes in patients considering epilepsy surgery. [PDF]
Eelbode C +6 more
europepmc +1 more source
This case series describes infants born near term with periventricular hemorrhagic infarction (PVHI), highlighting seizures as a common early symptom. Neonatal complications during delivery and pro‐thrombotic genetic mutations were slightly more common. MRI‐classified involvement was predominantly in the caudate vein territory.
Aleksandra Zaykova +6 more
wiley +1 more source
From Bedside to Desktop: A Data Protocol for Normative Intracranial EEG and Abnormality Mapping. [PDF]
Woodhouse H +7 more
europepmc +1 more source
Large Swiss cohort of paediatric status epilepticus demonstrates that treatment delay (> 60 min) directly contributes to morbidity. Machine‐learning analysis of routine clinical data identifies three distinct patient clusters: febrile status epilepticus, severe para‐infectious status epilepticus, and status epilepticus in children with known epilepsy ...
Richard J Burman +6 more
wiley +1 more source
Localization of epileptic foci from intracranial EEG using the GRU-GC algorithm. [PDF]
Wang X, Wu D, Yang C.
europepmc +1 more source

