Results 31 to 40 of about 187,200 (297)

Electroencephalography

open access: yes, 2020
The electroencephalogram (EEG) was invented almost 100 years ago and is still a method of choice for many research questions, even applications-from functional brain imaging in neuroscientific investigations during movement to real-time applications like brain-computer interfacing. This chapter gives some background information on the establishment and
openaire   +4 more sources

Definition of concepts related to immune epilepsy: Chinese expert consensus

open access: yesChinese Journal of Contemporary Neurology and Neurosurgery
The association between immunological mechanisms and epilepsy has long been recognized. In 2017, the International League Against Epilepsy (ILAE) formally recognized "immune" as one of the etiological categories of epilepsy.
Chinese Society of Neurology   +1 more
doaj   +1 more source

Characteristic features of electroencephalogram in a pediatric patient with GRIN1 encephalopathy

open access: yesBrain Disorders, 2022
Background: The number of reports on GRIN1 variants associated with neurodevelopmental phenotypes has increased in recent years. However, there are only two detailed reports on electroencephalography findings. Case study: We had a case with severe global
Naohiro Yamamoto   +5 more
doaj   +1 more source

Optimising the classification of feature-based attention in frequency-tagged electroencephalography data

open access: yesScientific Data, 2022
Measurement(s) Electroencephalography Technology Type(s) electroencephalography (EEG) Factor Type(s) Cued colour (black, white) • Cued flicker frequency (6.0 Hz, 7.5 Hz) • Distractor (present, absent) Sample Characteristic - Organism Homo sapiens Sample ...
Angela I. Renton   +2 more
doaj   +1 more source

Intraoperative Neurophysiological Monitoring for Endoscopic Endonasal Approaches to the Skull Base: A Technical Guide. [PDF]

open access: yes, 2016
Intraoperative neurophysiological monitoring during endoscopic, endonasal approaches to the skull base is both feasible and safe. Numerous reports have recently emerged from the literature evaluating the efficacy of different neuromonitoring tests during
Doan, Adam T.   +6 more
core   +3 more sources

Electroencephalography and analgesics [PDF]

open access: yesBritish Journal of Clinical Pharmacology, 2013
To assess centrally mediated analgesic mechanisms in clinical trials with pain patients, objective standardized methods such as electroencephalography (EEG) has many advantages. The aim of this review is to provide the reader with an overview of present findings in analgesics assessed with spontaneous EEG and evoked brain potentials (EPs) in humans ...
Malver, Lasse Paludan   +5 more
openaire   +3 more sources

Clinical Applications of Electroencephalogram in Children

open access: yesBasic and Clinical Neuroscience, 2011
Introduction: To obtain a baseline for clinical application of Electroencephalography in children and to evaluate the Electroencephalography findings in children with various acute and chronic CNS disorders and non epileptic events.Methods ...
Wael Khreisat
doaj   +2 more sources

Electroencephalography in young onset dementia

open access: yesBMC Neurology, 2023
Background Young onset dementia (YOD) is a major diagnostic and management problem. Methods We set out to explore if electroencephalography (EEG) might be useful in the diagnosis of young onset Alzheimer’s disease (YOAD) and young onset frontotemporal ...
Casey W Brown   +2 more
doaj   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition

open access: yesBrain Sciences, 2022
Electroencephalography (EEG) is recorded by electrodes from different areas of the brain and is commonly used to measure neuronal activity. EEG-based methods have been widely used for emotion recognition recently.
Jingjing Jia   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy