eDeeplepsy: An artificial neural framework to reveal different brain states in children with epileptic spasms.

Objective: Despite advances, analysis and interpretation of EEG still essentially rely on visual inspection by a super-specialized physician. Considering the vast amount of data that composes the EEG, much of the detail inevitably escapes ordinary human scrutiny. Significant information may not be evident and is missed, and misinterpretation remains a serious problem.

Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity.

Background And Objective: Epilepsy is a brain disorder consisting of abnormal electrical discharges of neurons resulting in epileptic seizures. The nature and spatial distribution of these electrical signals make epilepsy a field for the analysis of brain connectivity using artificial intelligence and network analysis techniques since their study requires large amounts of data over large spatial and temporal scales. For example, to discriminate states that would otherwise be indistinguishable from the human eye.

The hippocampus as the switchboard between perception and memory.

Adaptive memory recall requires a rapid and flexible switch from external perceptual reminders to internal mnemonic representations. However, owing to the limited temporal or spatial resolution of brain imaging modalities used in isolation, the hippocampal-cortical dynamics supporting this process remain unknown. We thus employed an object-scene cued recall paradigm across two studies, including intracranial electroencephalography (iEEG) and high-density scalp EEG.

[The atypical developments of rolandic epilepsy are predictable complications].

Introduction: The development of atypical features in rolandic epilepsy is part of a clinical spectrum of phenotypes that are variable, idiopathic and age-dependent, as well as having a genetically determined predisposition.

Aim: To study the electroclinical characteristics suggesting an atypical development in rolandic epilepsy.

Patients And Methods: A retrospective search was performed in 133 children diagnosed with atypical benign focal epilepsy (ABFE), Landau-Kleffner syndrome and continuous spike-wave during sleep (CSWS).

Epilepsy surgery in children with developmental tumours.

We report our experience regarding evaluation, surgical treatment and outcomes in a population of 21 children with histopathologically confirmed developmental tumours [nine dysembryoplastic neuroepithelial tumours (DNET), ten gangliogliomas (GG) and two gangliocytomas (GC)] and related epilepsy, analyzing video-EEG, MRI and neuropsychological data, before and after surgery. Most children had focal epilepsy correlating well with lesion location. One patient had epileptic spasms and generalized discharges.

[Validity and usefulness of echography in the carpal tunnel syndrome].

Objective: To evaluate the accuracy and utility of ultrasonography for the diagnosis of carpal tunnel syndrome (CTS).

Material And Method: Prospective and blind study of 75 wrists in 42 consecutive patients with suspected CTS. Electrodiagnostic testing (EDT) was used as gold standard.