Results 51 to 60 of about 141,252 (319)

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Electroencephalogram in premature infants: from normal to pathological activity

Русский журнал детской неврологии, 2019
This study was aimed to assess electrophysiological brain activity in newborns of various gestational ages using electroencephalography (EEG). We summarized the data on the main EEG characteristics of premature infants and their dynamics and described ...
D. A. Chegodaev, N. V. Pavlova, O. A. Lvova, L. V. Shalkevich   +3 more
doaj   +1 more source

Cerebral function monitoring in term or near term neonates at MDH : preliminary experience and proposal of a guideline [PDF]

, 2012
Introduction: Cerebral function monitoring (CFM) is a simplified EEG device that is used to monitor cerebral function at the cot-side. Various studies have shown its value in detecting neonatal encephalopathy and electrographic seizures, prognostication ...
Attard, Stephen, Soler, Doriette, Soler, Paul   +2 more
core  

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 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

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu, Marcus C. Ng, Gavin P. Winston, Sabrina Schaly, Garima Shukla, Lysa Boissé Lomax   +5 more
wiley   +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

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

Inverse Modeling for MEG/EEG data

, 2017
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet, A Galka, A Gramfort, A Pascarella, A Sorrentino, A Sorrentino, A Sorrentino, C Campi, C Lamus, CJ Long, D Calvetti, DK Nguyen, E Somersalo, F Cardinale, F Pasquale de, F-H Lin, G Dassios, GR Barnes, H Murakami, JC Mosher, JC Mosher, JM Antelis, JR Wolpaw, K Sekihara, K Uutela, K Uutela, L Miao, L Rabiner, M Hämäläinen, M Kowalski, MS Hämäläinen, PJ Green, R Bouet, RG Andrzejak, S Pursiainen, S Sommariva, SC Jun, TS Tian, V Vivaldi, W Ou, X Chen   +40 more
core   +1 more source

Online home appliance control using EEG-Based brain-computer interfaces [PDF]

, 2019
Brain???computer interfaces (BCIs) allow patients with paralysis to control external devices by mental commands. Recent advances in home automation and the Internet of things may extend the horizon of BCI applications into daily living environments at ...
Cho, Jeongho, Hwang, Minho, Kim, Hyun-Young, Kim, Min-Ki, Kim, Minju, Kim, Sung-Phil   +5 more
core   +1 more source