scholarly journals A distinct phenotype of childhood leukodystrophy presenting as absence seizure

2014 ◽  
Vol 9 (1) ◽  
pp. 63
Author(s):  
ImadMohammad Dweikat ◽  
Nadera Damsah ◽  
Reham Khalaf
Keyword(s):  
Absence Seizure ◽  
Distinct Phenotype

Single Channel EEG signal for Automatic Detection of Absence Seizure using Convolutional Neural Network

2019 ◽  
Vol 13 ◽  
Author(s):  
Niha Kamal Basha ◽  
Aisha Banu Wahab
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Convolutional Neural Network ◽  
Monitoring System ◽  
Single Channel ◽  
Confusion Matrix ◽  
Sudden Change ◽  
Automatic Detection ◽  
Support Vector ◽  
Absence Seizure

: Absence seizure is a type of brain disorder in which subject get into sudden lapses in attention. Which means sudden change in brain stimulation. Most of this type of disorder is widely found in children’s (5-18 years). These Electroencephalogram (EEG) signals are captured with long term monitoring system and are analyzed individually. In this paper, a Convolutional Neural Network to extract single channel EEG seizure features like Power, log sum of wavelet transform, cross correlation, and mean phase variance of each frame in a windows are extracted after pre-processing and classify them into normal or absence seizure class, is proposed as an empowerment of monitoring system by automatic detection of absence seizure. The training data is collected from the normal and absence seizure subjects in the form of Electroencephalogram. The objective is to perform automatic detection of absence seizure using single channel electroencephalogram signal as input. Here the data is used to train the proposed Convolutional Neural Network to extract and classify absence seizure. The Convolutional Neural Network consist of three layers 1] convolutional layer – which extract the features in the form of vector 2] Pooling layer – the dimensionality of output from convolutional layer is reduced and 3] Fully connected layer–the activation function called soft-max is used to find the probability distribution of output class. This paper goes through the automatic detection of absence seizure in detail and provide the comparative analysis of classification between Support Vector Machine and Convolutional Neural Network. The proposed approach outperforms the performance of Support Vector Machine by 80% in automatic detection of absence seizure and validated using confusion matrix.

scholarly journals Wafer-Scale Fabrication and Assembly Method of Multichannel Microelectrode Arrays for ECoG Application

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 316
Author(s):  
Cong Wang ◽  
Yu-Chen Wei ◽  
Ho-Kun Sung ◽  
Alok Kumar ◽  
Zhong-Liang Zhou ◽  
...  
Keyword(s):  
Printed Circuit Boards ◽  
Electrochemical Impedance ◽  
Microelectrode Arrays ◽  
Absence Seizure ◽  
Curing Conditions ◽  
Wafer Scale ◽  
In Vivo Test ◽  
Assembly Method ◽  
Signal Recording

High density electrocorticography (ECoG)-based microelectrode arrays (MEAs) are fabricated to timely record the neural activities to provide the fundamental understanding in neuroscience and biomedical engineering. This paper aims to introduce a device-based concept and wafer-scale fabrication process for MEAs. Flexible and biocompatible polyimide is applied on MEAs to bear all possible stress and strain. Detailed fabrication key techniques, including surface treatment, polyimide stability measurement, evaporation process, and curing conditions, have been discussed thoroughly. Moreover, the fabricated polyimide-based MEAs are surface-mounted on well-packaged printed circuit boards (PCBs) via a slot-type connector without any additional wire bonding to make the signal recording process easier. An absence seizure was recorded during the in vivo test, which shows the availability of signal recording based on the presented MEAs. The proposed MEAs could be remained at the skull, while the connector and PCBs can be disassembled apart. Therefore, the testing sample will get less suffering. To verify the robustness of the fabricated MEAs, the impedance properties were characterized using electrochemical impedance spectroscopy. The measured results indicate an average impedance of 12.3 ± 0.675 kΩ at 1 kHz. In total, 10 groups of MEAs were sample tested, and over 90% of the total 60 channels per 1-MEAs operated efficiently.

388 Familial natural short sleepers have greater resilience than unaffected family members

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A154-A155
Author(s):  
Liza Ashbrook ◽  
Andrew Krystal ◽  
Ying-Hui Fu ◽  
Louis Ptáček
Keyword(s):  
Sleep Duration ◽  
Family Members ◽  
Self Report ◽  
Short Sleep ◽  
Symptoms Of Depression ◽  
Distinct Phenotype ◽  
Resilience Scale ◽  
Restorative Sleep ◽  
Bounce Back ◽  
Insight Into

Abstract Introduction Resilience, a life-long trait, corresponds to the ability to bounce back from adversity. What factors influence resilience is unclear. Here we describe a cohort of individuals with familial natural short sleep (FNSS). Four genes in five families have been identified that confer this trait, DEC2, NPSR1, GRM1 and ADRB1. Individuals in this cohort share a resilience phenotype alongside this decreased sleep need. Methods Those reporting less than 6.5 hours of sleep when allowed to sleep ad libitum without any complaints regarding overnight sleep or daytime sleepiness were then interviewed to determine FNSS affected status from 2009 to 2020. Data on mood, depression, sleepiness and resilience were collected from participants and family members enrolled in the FNSS study. Results 163 individuals meeting criteria for FNSS were enrolled. Compared to 47 unaffected family members, they had significantly shorter sleep duration as measured by self report and actigraphy, significantly more resilience as measured by the Connor-Davidson Resilience Scale, significantly less sleepiness as measured by the Epworth Sleepiness Scale, and significantly fewer symptoms of depression as measured by the Beck Depression Inventory. Conclusion FNSS individuals appear to have a distinct phenotype including shorter sleep duration, greater resilience, less subjective sleepiness, and fewer symptoms of depression. Better understanding the genetics and characteristics of those with familial natural short sleep may provide insight into mechanisms of both restorative sleep and resilience. Support (if any) This work was supported by NIH grants NS099333, NS072360 and NS104782 to L.J.P. and Y-H.F., and by the William Bowes Neurogenetics Fund to L.J.P. and Y.H.F.

Absence seizure in the elderly

2011 ◽  
Vol 10 (2) ◽  
pp. 188 ◽  
Author(s):  
OwolabiL Femi ◽  
S Sale
Keyword(s):  
The Elderly ◽  
Absence Seizure

scholarly journals A Novel Missense Mutation in Codon 218 of the Albumin Gene in a Distinct Phenotype of Familial Dysalbuminemic Hyperthyroxinemia in a Japanese Kindred

1997 ◽  
Vol 82 (10) ◽  
pp. 3246-3250 ◽  
Author(s):  
Norio Wada ◽  
Hitoshi Chiba ◽  
Chikara Shimizu ◽  
Hiromichi Kijima ◽  
Mitsumasa Kubo ◽  
...  
Keyword(s):  
Missense Mutation ◽  
Distinct Phenotype ◽  
Albumin Gene

Eyelid myoclonia with absence seizure: Precipitated by carbamazepine therapy

2012 ◽  
Vol 49 (10) ◽  
pp. 840-841 ◽  
Author(s):  
Chandrika Azad ◽  
Vishal Guglani
Keyword(s):  
Absence Seizure ◽  
Carbamazepine Therapy

scholarly journals Atypical EEG pattern in children with absence seizures

1995 ◽  
Vol 53 (2) ◽  
pp. 258-261 ◽  
Author(s):  
Délrio F. Silva ◽  
Márcia Marques Lima ◽  
Renato Anghinah ◽  
Edmar Zanoteli ◽  
José Geraldo Camargo Lima
Keyword(s):  
Absence Seizure ◽  
Complete Control ◽  
Absence Seizures ◽  
Normal Finding ◽  
Delta Activity ◽  
Eeg Changes ◽  
Eeg Pattern

We studied four children with diagnosis of absence seizures (generalized primary epilepsy), and with a generalized delta activity on the EEG during clinical attacks provoked by hyperventilation. The lack of ictal generalized spike-and-wave discharges with a frequency of 3 Hz in our patients, makes this an atypical pattern. All children had complete control of their seizures and disappearance of the EEG changes with valproate. We concluded that generalized delta activity observed on EEG during the hyperventilation in children should not always be considered as a normal finding for age, since it could be an ictal event of an absence seizure.

Sign in / Sign up

Export Citation Format

Share Document