Results 41 to 50 of about 96,332 (312)

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

Electroencephalography (EEG) and Unconsciousness

, 2012
The commonest and simplest operational definition of consciousness is, the state of the patient’s awareness of self and environment and his responsiveness to external stimulation and inner need. Therefore, unconsciousness has the opposite meaning, that is, a state of unawareness of self and environment or a suspension of those mental activities by ...
Dongyu Wu, Ying Yu
openaire   +2 more sources

Prominent Movement Disorders in RNU2‐2‐Related Spliceosomopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Pediatric movement disorders often overlap with neurodevelopmental diseases, suggesting shared molecular mechanisms. Variants in small nuclear RNA (snRNA) genes encoding spliceosome components have recently been associated with neurodevelopmental disorders, termed “RNUopathies.” We analyzed genome sequencing data from 14 patients with ...
Magdalena Krygier, Ugo Sorrentino, Matias Wagner, Marta Zawadzka, Anna Lemska, Maria Mazurkiewicz‐Bełdzińska, Michael Zech   +6 more
wiley   +1 more source

Open access EEG dataset of repeated measurements from a single subject for microstate analysis

Scientific Data
Electroencephalography (EEG) microstate analysis is a neuroimaging analytical method that has received considerable attention in recent years and is widely used for analysing EEG signals.
Qi Liu, Shuyong Jia, Na Tu, Tianyi Zhao, Qiuyue Lyu, Yuhan Liu, Xiaojing Song, Shuyou Wang, Weibo Zhang, Feng Xiong, Hecheng Zhang, Yi Guo, Guangjun Wang   +12 more
doaj   +1 more source

Diagnostic utility of eight-channel EEG for detecting generalized or hemispheric seizures and rhythmic periodic patterns

Clinical Neurophysiology Practice, 2018
Objectives: To compare the diagnostic utility of electroencephalography (EEG) using reduced, 8-channel montage (rm-EEG) to full, 18-channel montage (fm-EEG) for detection of generalized or hemispheric seizures and rhythmic periodic patterns (RPPs) by ...
Kapil Gururangan, Babak Razavi, Josef Parvizi   +2 more
doaj   +1 more source

Coherence analysis: Methods, solutions and problems [PDF]

, 2008
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A coherence function is a measure of the correlation of two signals and may be used as a measure for functional relationship between brain areas.
Irfan, Memon
core  

fMRI activation detection with EEG priors [PDF]

, 2013
The purpose of brain mapping techniques is to advance the understanding of the relationship between structure and function in the human brain in so-called activation studies.
Sämann, Philipp, Czisch, Michael, Kalus, Stefanie, Fahrmeir, Ludwig   +3 more
core   +1 more source

Electroencephalographic Normalization as a Biomarker of Clinical Recovery in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Down syndrome regression disorder is a syndrome characterized by subacute loss of cognitive, behavioral, and functional abilities in individuals with Down syndrome. Electroencephalography abnormalities are frequently observed during evaluation, but it remains unclear whether these findings represent a dynamic marker of disease ...
Jonathan D. Santoro, Mackenzie Silverman, Maeve C. Lucas, Mariam M. Yousuf, Samuel T. Otey, Stella V. Gray, Brittany Jordan, Madeline D. Kahan, Latanya D. Agurs, Michelle Van Hirtum Das, Deborah Holder, Devin King, Eileen A. Quinn, Ryan Kammeyer, Michael S. Rafii   +14 more
wiley   +1 more source

Special Issue on Deep Learning for Electroencephalography (EEG) Data Analysis

Applied Sciences, 2023
Brain–computer interfaces (BCI) have emerged as a groundbreaking and transformative technology enabling communication between humans and computers through neural systems, primarily electroencephalography (EEG) [...]
Roberto Prevete, Francesco Isgrò, Francesco Donnarumma   +2 more
doaj   +1 more source

Imaging haemodynamic changes related to seizures: comparison of EEG-based general linear model, independent component analysis of fMRI and intracranial EEG [PDF]

, 2010
Background: Simultaneous EEG-fMRI can reveal haemodynamic changes associated with epileptic activity which may contribute to understanding seizure onset and propagation. Methods: Nine of 83 patients with focal epilepsy undergoing pre-surgical evaluation
Laufs, H., Lhatoo, S., Guye, M., Rodionov, R., McEvoy, A., Carmichael, D., Thornton, R.C., Vulliemoz, S., Cannadathu, S., Vaudano, A.   +9 more
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