Electroencephalography-based machine learning for cognitive profiling in Parkinson's disease:Preliminary results

Background Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening. Objective The aim of this study was to investigate the use of the combination of resting-state EEG and data-mining techniques to build characterization models. Methods Dense EEG data from 118 patients with Parkinson's disease, classified into 5 different groups according to the severity of their cognitive impairments, were considered. Spectral power analysis within 7 frequency bands was performed on the EEG signals. The obtained quantitative EEG features of 100 patients were mined using 2 machine-learning algorithms to build and train characterization models, namely, support vector machines and k-nearest neighbors models. The models were then blindly tested on data from 18 patients. Results The overall classification accuracies were 84% and 88% for the support vector machines and k-nearest algorithms, respectively. The worst classifications were observed for patients from groups with small sample sizes, corresponding to patients with the severe cognitive deficits. Whereas for the remaining groups for whom an accurate diagnosis was required to plan the future healthcare, the classification was very accurate. Conclusion These results suggest that EEG features computed from a daily clinical practice exploration modality in-that it is nonexpensive, available anywhere, and requires minimal cooperation from the patient-can be used as a screening method to identify the severity of cognitive impairment in patients with Parkinson's disease. (c) 2018 International Parkinson and Movement Disorder Society</p

Localization of an epileptic orgasmic feeling to the right amygdala, using intracranial electrodes

International audienceThe limbic system has well-known functions in the regulation of human emotions and behaviour in general and sexual behaviour in particular. However, it is not clear which components of the limbic system are involved in orgasmic feelings. Although orgasmic aura can be elicited by direct electrical stimulation of the right mesial temporal lobe, the location of spontaneous and isolated orgasmic auras have not yet been reported in the literature. Here, we report on the first case of spontaneous orgasmic aura associated with a discharge in the right amygdala, following an investigation with depth electrodes in a woman with temporal lobe epilepsy. Her ictal orgasmic feeling reportedly felt the same as her physiological orgasms. This case sheds light on the amygdala's key role in human sexual function. (C) 2018 Elsevier Ltd. All rights reserved

Use of EEG in neonatal hypoxic-ischemic encephalopathy: A French survey of current practice and perspective for improving health care

International audienceObjectives: Controlled therapeutic hypothermia (CTH) is a standard of care in the management of neonatal hypoxic-ischemic encephalopathy HIE in newborns after 36 weeks of gestational age (WGA) in France. The electroencephalogram (EEG) plays a major role in HIE diagnosis and follow-up. We conducted a French national survey on the current use of EEG in newborn undergoing CTH.Methods: Between July and October 2021, an email survey was sent to the heads of the Neonatal intensive care units (NICUs) in metropolitan and overseas French departments and territories.Results: Out of 67, 56 (83%) of NICUs responded. All of them performed CTH in children born after 36 WGA with clinical and biological criteria of moderate to severe HIE. 82% of the NICUs used conventional EEG (cEEG) before 6 h of life (H6), prior to CTH being performed, to inform decisions about its use. However, half of the 56 NICUs had limited access after regular working hours. 51 of the 56 centers (91%) used cEEG, either short-lasting or continuous monitoring during cooling, while 5 centers conducted only amplitude EEG (aEEG). Only 4 of 56 centers (7%) used cEEG systematically both prior to CTH and for continuous monitoring under CTH.Discussion: The use of cEEG in the management of neonatal HIE was widespread in NICUs, but with significant disparities when considering 24-hour access. The introduction of a centralized neurophysiological on-call system grouping several NICUs would be of major interest for most centers which do not have the facility of EEG outside working hours

Mechanical and electrical analysis of a strained liner effect in 35nm FDSOI devices with ultra-thin silicon channels

International audienceWe study the effects of a strained contact etch stop layer (CESL) on fully depleted (FD) silicon-on-insulator (SOI) devices with ultra thin silicon channels. As expected from extensive simulation analysis, the electrical results demonstrate that in spite of the raised source/drain architecture, the stress is effectively transferred from the liner into the underlying channel. Using a tensile liner for the n-type metal–oxide–semiconductor field effect transistor (nMOS) and a compressive liner for the p-type metal–oxide–semiconductor field effect transistor (pMOS), transistor performance enhancements of 10% and 17%, respectively, were obtained. Moreover, with a tensile (/compressive) liner, tensile (/compressive) edge effects become dominant for short devices whereas the stress becomes less tensile (/compressive) for longer devices. Indeed, the balance between these two contributions and the strain level in the channel are highly dependent on geometrical parameters (W, Lgate)

Early-onset epileptic encephalopathy related to germline PIGA mutations: A series of 5 cases

International audienceThe molecular diagnosis of early-onset epileptic encephalopathy (EOEE), an expanding field in child neurology, is becoming increasingly possible thanks to the widespread availability of next-generation sequencing and whole-exome sequencing. In the past 15 years, mutations in STXBP1, KCNQ2, SCN2A, SCN8A and numerous other genes have been reported, giving a more accurate insight for these rare diseases. Among these genes, germline mutations in Phosphatidyl Inositol Glycan A (PIGA) gene were first reported in 2012. Located on Xp22.2, PIGA is involved in the synthesis of GPI (glycosylphosphatidylinositol) which acts as a membrane anchor for different proteins: enzymes, adhesion molecules, regulation of the complement way, and co-receptor in transduction signal. Children suffering from this condition exhibit developmental delay with early-onset epilepsy, severe dysmorphic signs, multi-visceral anomalies and early death in the most severe forms. Here, we report five cases of germline PIGA mutations, with two missense mutations that have not been reported to date. We provide a new insight into the electroclinical phenotype. At the onset, epileptic spasms and focal-onset seizures with upper limbs and ocular involvements were present. Epilepsy proved pharmacoresistant in 4 out of 5 cases. Interictal EEG may be normal at the onset of epilepsy, but abnormalities in electroencephalographic studies were eventually present in all cases. Different types of seizures may be present simultaneously, and epileptic phenotypes evolve with aging