Results 61 to 70 of about 2,021,152 (244)

Neurological, Neurodevelopmental and Treatment Outcomes in Patients With Pyruvate Dehydrogenase Complex Deficiency

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou, Colin Reilly, Kalliopi Sofou, Sofia Ygberg, Erik A. Eklund, Karin Naess, Niklas Darin   +6 more
wiley   +1 more source

Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG [PDF]

, 2013
This study investigates the indications of non-linear dynamic structures in electroencephalogram signals. The iterative amplitude adjusted surrogate data method along with seven non-linear test statistics namely the third order autocorrelation, asymmetry
Balli, Tugce, Ballı, Tuğçe, Palaniappan, Ramaswamy   +2 more
core   +1 more source

Deep Learning Approach EEG Signal Classification

JOIV: International Journal on Informatics Visualization
The introduction of deep learning technology has greatly benefited the neuroscience field by improving the electroencephalogram (EEG) signal analysis. These technologies have greatly improved the understanding of complex brain activity by interpreting ...
Kai Liang Lew, Kok Swee Sim, Zehong Ting
doaj   +1 more source

Quantitative EEG based on Renyi Entropy for Epileptic Classification [PDF]

Journal of Electrical and Electronics Engineering, 2019
Analysis on Electroencephalogram (EEG) signal can provide important information related to the clinical pathology of epilepsy. Detecting the onset, prediction and type of seizures based on EEG signals is very important to determine an appropriate ...
HADIYOSO Sugondo, AULIA Suci, RIZAL Achmad   +2 more
doaj  

BCI‐control and monitoring system for smart home automation using wavelet classifiers

IET Signal Processing, 2022
Brain Computer Interface (BCI) is a major research field that is based upon Electroencephalography (EEG) brain signals, which are captured using EEG electrodes, amplified and filtered before being converted to the digital form in order to perform ...
Amer Al‐Canaan, Hicham Chakib, Muhammad Uzair, Shuja‐uRehman Toor, Amer Al‐Khatib, Majid Sultan   +5 more
doaj   +1 more source

Nationwide Survey of Association Between Fever and Epileptic Seizure in CDKL5 Deficiency Disorder Revealed Therapeutic Implications

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective CDKL5 deficiency disorder (CDD) is a rare, severe developmental and epileptic encephalopathy. There is a pressing need to develop effective and sustainable therapeutic strategies. We aimed to investigate the causal association between febrile episodes and epileptic seizures for therapeutic implications in CDD patients.
Siyi Wang, Jialin Du, Jinghui Liu, Dongmei Hu, Hongxin Wang, Xiaoxiao Man, Lehong Gao, Shimin Hu, Xianghong Meng, Hongyang Zhao, Minjing Hu, Yingxue Yang, Zhiqi Xiong, Liankun Ren   +13 more
wiley   +1 more source

An investigation of the relationship between BOLD and perfusion signal changes during epileptic generalised spike wave activity [PDF]

, 2008
In pathological conditions interpretation of functional magnetic resonance imaging (fMRI) results can be difficult. This is due to a reliance on the assumed coupling between neuronal activity and changes in cerebral blood flow (CBF) and oxygenation.
Thomas, D.L., Lemieux, L., Hamandi, Khalid, Duncan, J.S., Hamandi, K., Laufs, H., Carmichael, David W., Carmichael, D.W., Laufs, Helmut, Thomas, David L., Lemieux, Louis, Duncan, John S.   +11 more
core   +1 more source

Effective automated method for detection and suppression of muscle artefacts from single-channel EEG signal

Healthcare Technology Letters, 2020
This Letter proposes an automated method for the detection and suppression of muscle artefacts (MAs) in the single-channel electroencephalogram (EEG) signal based on variational mode decomposition (VMD) and zero crossings count threshold criterion ...
Manali Saini, Udit Satija, Madhur Deo Upadhayay   +2 more
doaj   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Utility of the APE2 Score as a Diagnostic Tool for Autoimmune Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To retrospectively evaluate the diagnostic performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score relative to clinician‐adjudicated autoimmune encephalitis (AE) and the Graus criteria in a tertiary neuroimmunology referral cohort, including antibody‐negative AE.
Bijoya Basu, Sophia F. Damman, Samhitha M. Rai, Hesham Abboud   +3 more
wiley   +1 more source