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eeg patterns

Paulo Afonso Medeiros Kanda, Aline de Almeida Xavier Aguiar, Jose Lucivan Miranda, Alexandre Loverde Falcao, Claudia Suenia Andrade, Luigi Neves Dos Santos Reis, Ellen White R Bacelar Almeida, Yanes Brum Bello, Arthur Monfredinho, Rafael Guimaraes Kanda
Microcephaly (MC), previously considered rare, is now a health emergency of international concern because of the devastating Zika virus pandemic outbreak of 2015. The authors describe the electroencephalogram (EEG) findings in sleep EEG of epileptic children who were born with microcephaly in areas of Brazil with active Zika virus transmission between 2014 and 2017. The authors reviewed EEGs from 23 children. Nine were females (39.2%), and the age distribution varied from 4 to 48 months. MC was associated with mother positive serology to toxoplasmosis (toxo), rubella (rub), herpes, and dengue (1 case); toxo (1 case); chikungunya virus (CHIKV) (1 case); syphilis (1 case); and Zika virus (ZIKV) (10 cases)...
2018: Neurodiagnostic Journal
Tadanori Fukami, Takamasa Shimada, Bunnoshin Ishikawa
OBJECTIVE: In the current study, we tested a proposed method for fast spike detection in electroencephalography (EEG). APPROACH: We performed eigenvalue analysis in two-dimensional space spanned by gradients calculated from two neighboring samples to detect high-amplitude negative peaks. We extracted the spike candidates by imposing restrictions on parameters regarding spike shape and eigenvalues reflecting detection characteristics of individual medical doctors...
March 21, 2018: Journal of Neural Engineering
Josef Parvizi, Kapil Gururangan, Babak Razavi, Chris Chafe
OBJECTIVE: The traditional approach to interpreting electroencephalograms (EEGs) requires physicians with formal training to visually assess the waveforms. This approach can be less practical in critical settings where a trained EEG specialist is not readily available to review the EEG and diagnose ongoing subclinical seizures, such as nonconvulsive status epilepticus. METHODS: We have developed a novel method by which EEG data are converted to sound in real time by letting the underlying electrophysiological signal modulate a voice tone that is in the audible range...
March 20, 2018: Epilepsia
Jung-Ah Lim, Jangsup Moon, Tae-Joon Kim, Jin-Sun Jun, Byeongsu Park, Jung-Ick Byun, Jun-Sang Sunwoo, Kyung-Il Park, Soon-Tae Lee, Keun-Hwa Jung, Ki-Young Jung, Manho Kim, Daejong Jeon, Kon Chu, Sang Kun Lee
Seizure clustering is a common and significant phenomenon in patients with epilepsy. The clustering of spontaneous recurrent seizures (SRSs) in animal models of epilepsy, including mouse pilocarpine models, has been reported. However, most studies have analyzed seizures for a short duration after the induction of status epilepticus (SE). In this study, we investigated the detailed characteristics of seizure clustering in the chronic stage of a mouse pilocarpine-induced epilepsy model for an extended duration by continuous 24/7 video-EEG monitoring...
2018: PloS One
João Castelhano, Paula Tavares, Susana Mouga, Guiomar Oliveira, Miguel Castelo-Branco
OBJECTIVE: Electroencephalographic biomarkers have been widely investigated in autism, in the search for diagnostic, prognostic and therapeutic outcome measures. Here we took advantage of the information available in temporal oscillatory patterns evoked by simple perceptual decisions to investigate whether stimulus dependent oscillatory signatures can be used as potential biomarkers in autism spectrum disorder (ASD). METHODS: We studied an extensive set of stimuli (9 categories of faces) and performed data driven classification (Support vector machine, SVM) of ASD vs...
February 20, 2018: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
P Leon Brown, Panos Zanos, Leiming Wang, Greg I Elmer, Todd D Gould, Paul D Shepard
Background: The volatile anesthetic isoflurane may exert a rapid and long-lasting antidepressant effect in patients with medication-resistant depression. The mechanism underlying the putative therapeutic actions of the anesthetic have been attributed to its ability to elicit cortical burst suppression, a distinct EEG pattern with features resembling the characteristic changes that occur following electroconvulsive therapy. It is currently unknown whether the antidepressant actions of isoflurane are shared by anesthetics that do not elicit cortical burst suppression...
March 15, 2018: International Journal of Neuropsychopharmacology
Maryam Falahpour, Catie Chang, Chi Wah Wong, Thomas T Liu
Changes in vigilance or alertness during a typical resting state fMRI scan are inevitable and have been found to affect measures of functional brain connectivity. Since it is not often feasible to monitor vigilance with EEG during fMRI scans, it would be of great value to have methods for estimating vigilance levels from fMRI data alone. A recent study, conducted in macaque monkeys, proposed a template-based approach for fMRI-based estimation of vigilance fluctuations. Here, we use simultaneously acquired EEG/fMRI data to investigate whether the same template-based approach can be employed to estimate vigilance fluctuations of awake humans across different resting-state conditions...
March 13, 2018: NeuroImage
Rodrigo Vargas, Lucas Beltrán, Rafael Lizama, Gabriela Reyes Valenzuela, Roberto Caraballo
PURPOSE: To present a retrospective study of 13 children with benign epilepsy with centrotemporal spikes (BECTS), also known as benign rolandic epilepsy (BRE), associated with generalized spikes and waves as the only EEG manifestation at onset. METHOD: Charts of children with typical clinical criteria of BRE electroclinically followed-up between February 2000 and February 2015 were reviewed. RESULTS: Among 309 patients who met the electroclinical criteria of BRE, we identified 13 children who presented with the typical clinical manifestations but who, on the EEG, only had generalized paroxysms at onset that continued along the course of the syndrome...
March 9, 2018: Seizure: the Journal of the British Epilepsy Association
Brin Freund, James J Gugger, Alexandra Reynolds, William O Tatum, Jan Claassen, Peter W Kaplan
PURPOSE: Periodic discharges (PDs) are EEG patterns denoting brain dysfunction and ictal tendency. Their exact meaning regarding etiology and outcomes is not well known. In particular, bilateral independent PDs (BIPDs) are poorly described. METHODS: We performed a retrospective, multicenter study evaluating neuroimaging, epileptic, clinical, and EEG correlates of BIPDs. RESULTS: Twenty-five patients studied with a mean Glasgow Coma Scale 6...
March 15, 2018: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Jyoti Singh Kirar, R K Agrawal
This paper presents a novel algorithm (CVSTSCSP) for determining discriminative features from an optimal combination of temporal, spectral and spatial information for motor imagery brain computer interfaces. The proposed method involves four phases. In the first phase, EEG signal is segmented into overlapping time segments and bandpass filtered through frequency filter bank of variable size subbands. In the next phase, features are extracted from the segmented and filtered data using stationary common spatial pattern technique (SCSP) that can handle the non- stationarity and artifacts of EEG signal...
March 16, 2018: Journal of Medical Systems
Michela Balconi, Laura Gatti, Maria Elide Vanutelli
Cooperation behavior is a core question of study on social neuroscience. In the present study, inter-brain functional connectivity and cognitive performance were considered during joint which was failing. The cognitive performance and the EEG (brain oscillations from delta to beta) underlying the execution of joint-actions were recorded when dyads of participants executed synchronicity game and received reinforcing negative feedbacks A pre-feedback condition (cooperation) and a control condition (individual task, T0) were provided as well as a check for possible learning effect (time series analysis)...
March 12, 2018: Consciousness and Cognition
Lukman Femi Owolabi, Shehu Sale, Shakirah Desola Owolabi, Aisha Nalado, Muhammad Umar, Aminu Abdullahi Taura
Background: In spite of the overwhelming significance of knowledge of basic elements of electroencephalography (EEG) in its application to the diagnostic workup and the management of patients with suspected or already established generalized epilepsy (GE), there is a dearth of data on the pattern and utility of clinical variables that can independently determine EEG abnormalities in GE. Objective: The study was designed to evaluate the frequency and pattern of EEG abnormality as well as assess the utility of clinical variables in predicting the likelihood of an abnormal EEG in GE...
April 2018: Annals of African Medicine
Martin Lamos, Radek Marecek, Tomáš Slavíček, Michal Mikl, Ivan Rektor, Jiri Jan
Growing interest in the examination of large-scale brain network functional connectivity dynamics is accompanied by an effort to find the electrophysiological correlates. The commonly used constraints applied to spatial and spectral domains during EEG data analysis may leave part of the neural activity unrecognized. We propose an approach that blindly reveals multimodal EEG spectral patterns that are related to the dynamics of the BOLD functional network connectivity.
 Approach. The blind decomposition of EEG spectrogram by Parallel Factor Analysis has been shown to be a useful technique for uncovering patterns of neural activity...
March 14, 2018: Journal of Neural Engineering
Yi-Tzu Chang, Hsiang-Yu Chen, Yuan-Chieh Huang, Wan-Yu Shih, Hsiao-Lung Chan, Ping-Yi Wu, Ling-Fu Meng, Chen-Chi Chen, Ching-I Wang
BACKGROUND: Action semantics have been investigated in relation to context violation but remain less examined in relation to the meaning of gestures. In the present study, we examined tool-gesture incongruity by event-related potentials (ERPs) and hypothesized that the component N400, a neural index which has been widely used in both linguistic and action semantic congruence, is significant for conditions of incongruence. METHODS: Twenty participants performed a tool-gesture judgment task, in which they were asked to judge whether the tool-gesture pairs were correct or incorrect, for the purpose of conveying functional expression of the tools...
March 13, 2018: Behavioral and Brain Functions: BBF
Ning Zhuang, Ying Zeng, Kai Yang, Chi Zhang, Li Tong, Bin Yan
Most current approaches to emotion recognition are based on neural signals elicited by affective materials such as images, sounds and videos. However, the application of neural patterns in the recognition of self-induced emotions remains uninvestigated. In this study we inferred the patterns and neural signatures of self-induced emotions from electroencephalogram (EEG) signals. The EEG signals of 30 participants were recorded while they watched 18 Chinese movie clips which were intended to elicit six discrete emotions, including joy, neutrality, sadness, disgust, anger and fear...
March 12, 2018: Sensors
Isabelle Beuchat, Daria Solari, Jan Novy, Mauro Oddo, Andrea O Rossetti
INTRODUCTION: Standardized EEG patterns according to the American Clinical Neurophysiology Society (ACNS) ("highly malignant", "malignant" and "benign") demonstrated good correlation with outcome after cardiac arrest (CA). However, this approach relates to EEGs after target temperature management (TTM), and correlation to other recognized outcome predictors remains unknown. OBJECTIVES: To investigate the relationship between categorized EEG and other outcome predictors, during and after TTM, at different temperatures...
March 9, 2018: Resuscitation
Eline R Kupers, Helena X Wang, Kaoru Amano, Kendrick N Kay, David J Heeger, Jonathan Winawer
Currently, non-invasive methods for studying the human brain do not routinely and reliably measure spike-rate-dependent signals, independent of responses such as hemodynamic coupling (fMRI) and subthreshold neuronal synchrony (oscillations and event-related potentials). In contrast, invasive methods-microelectrode recordings and electrocorticography (ECoG)-have recently measured broadband power elevation in field potentials (~50-200 Hz) as a proxy for locally averaged spike rates. Here, we sought to detect and quantify stimulus-related broadband responses using magnetoencephalography (MEG)...
2018: PloS One
Julia M Stephen, Lucinda Flynn, Danielle Kabella, Megan Schendel, Sandra Cano, Daniel D Savage, William Rayburn, Lawrence M Leeman, Jean Lowe, Ludmila N Bakhireva
Early identification of children who experience developmental delays due to prenatal alcohol exposure (PAE) remains a challenge for individuals who do not exhibit facial dysmorphia. It is well-established that children with PAE may still exhibit the cognitive and behavioral difficulties, and individuals without facial dysmorphia make up the majority of individuals affected by PAE. This study employed a prospective cohort design to capture alcohol consumption patterns during pregnancy and then followed the infants to 6 months of age...
2018: NeuroImage: Clinical
Thibault Verhoeven, Ana Coito, Gijs Plomp, Aljoscha Thomschewski, Francesca Pittau, Eugen Trinka, Roland Wiest, Karl Schaller, Christoph Michel, Margitta Seeck, Joni Dambre, Serge Vulliemoz, Pieter van Mierlo
Objective: To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity. Methods: Resting-state high-density EEG recording data from 20 left TLE patients, 20 right TLE patients and 35 healthy controls was used. Epochs without interictal spikes were selected. The cortical source activity was obtained for 82 regions of interest and whole-brain directed functional connectivity was estimated in the theta, alpha and beta frequency bands...
2018: NeuroImage: Clinical
Jaeyoung Shin, Jinuk Kwon, Chang-Hwan Im
The performance of a brain-computer interface (BCI) can be enhanced by simultaneously using two or more modalities to record brain activity, which is generally referred to as a hybrid BCI. To date, many BCI researchers have tried to implement a hybrid BCI system by combining electroencephalography (EEG) and functional near-infrared spectroscopy (NIRS) to improve the overall accuracy of binary classification. However, since hybrid EEG-NIRS BCI, which will be denoted by hBCI in this paper, has not been applied to ternary classification problems, paradigms and classification strategies appropriate for ternary classification using hBCI are not well investigated...
2018: Frontiers in Neuroinformatics
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