Results 71 to 80 of about 3,887,920 (279)

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

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

Investigating the role of data preprocessing, hyperparameters tuning, and type of machine learning algorithm in the improvement of drowsy EEG signal modeling

Intelligent Systems with Applications, 2022
Driver drowsiness leads to fatal road traffic accidents. The effects of drowsy driving on electroencephalogram (EEG) signal are well visible. Accordingly, classifying EEG signal with machine learning (ML) is known as a reliable and accurate drowsiness ...
Farbod Farhangi
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
core  

Classification of autism spectrum disorder using supervised learning of brain connectivity measures extracted from synchrostates

, 2014
Objective. The paper investigates the presence of autism using the functional brain connectivity measures derived from electro-encephalogram (EEG) of children during face perception tasks. Approach.
Oprescu, Ioana-Anastasia, Das, Saptarshi, Maharatna, Koushik, Sicca, Federico, Jamal, Wasifa, Apicella, Fabio   +5 more
core   +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

Application of signal processing to respiratory cycle related EEG change (RCREC) in children

, 2014
Sleep is an important part of everyday life. It directly affects daytime cognition and general performance. In children, sleep is a crucial requirement for growth and learning and lack of sleep may manifest itself as a long lasting developmental deficit.
Motamedi Fakhr, Shayan
core   +1 more source

Exploring EEG signal processing for effective filtering and classification of epileptic seizures

Discover Electronics
EEG signal processing is the process of analysing the raw electrical signals recorded by the electrodes on the scalp to obtain information about the human brain. The preprocessing of the EEG signal cleans the raw signals, feature extraction to obtain the
Aruna Pant, Adesh Kumar
doaj   +1 more source

EEG signal classification based on SVM with improved squirrel search algorithm

Biomedizinische Technik. Biomedical engineering, 2020
Electroencephalography (EEG) is a complex bioelectrical signal. Analysis of which can provide researchers with useful physiological information. In order to recognize and classify EEG signals, a pattern recognition method for optimizing the support ...
Miao Shi, Chao Wang, Xian-Zhe Li, Ming-Qiang Li, Lu Wang, Nenggang Xie   +5 more
semanticscholar   +1 more source

Ofatumumab Therapy and Long‐Term Seizure Outcomes of Patients With Relapsing Anti‐NMDA Receptor Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective There is a lack of studies on seizure outcomes associated with ofatumumab therapy in patients for relapsing anti‐N‐methyl‐D‐aspartate (NMDA) receptor encephalitis. We aimed to evaluate long‐term seizure outcomes of ofatumumab therapy for relapsing anti‐NMDA receptor encephalitis.
Jian Wang, Mengjiao Li, Ping Kong
wiley   +1 more source