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Christos Koutlis, Dimitris Kugiumtzis
Measures of Granger causality on multivariate time series have been used to form the so-called causality networks. A causality network represents the interdependence structure of the underlying dynamical system or coupled dynamical systems, and its properties are quantified by network indices. In this work, it is investigated whether network indices on networks generated by an appropriate Granger causality measure can discriminate different coupling structures. The information based Granger causality measure of partial mutual information from mixed embedding (PMIME) is used to form causality networks, and a large number of network indices are ranked according to their ability to discriminate the different coupling structures...
September 2016: Chaos
Latika Mohan, Jayvardhan Singh, Yogesh Singh, Rajesh Kathrotia, Arun Goel
BACKGROUND: The presence of interictal epileptiform discharges (IEDs) in electroencephalogram (EEG) is diagnostic of epilepsy. Latent IEDs are activated during sleep. Anti-epileptic drugs (AEDs) improve sleep. AEDs, sleep, and IEDs may interact and affect epilepsy management. PURPOSE: To explore the occurrence of IEDs and its association with sleep and AED status in suspected patients of epilepsy. METHODS: EEG records were collected of suspected patients of epilepsy who reported to the electrophysiology laboratory of a tertiary care hospital during 1 year...
October 2016: Annals of Neurosciences
Dong Qian, Bei Wang, Yun Qing, Tao Zhang, Yu Zhang, Xing Wang, Masatoshi Nakamura
Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of the periodical rhymes of physiological states. A model of Bayesian nonnegative CP decomposition (BNCPD) was proposed to extract common multiway features from the group-level electroencephalogram (EEG) signals. As an extension of the nonnegative CP decomposition, the BNCPD model involves prior distributions of factor matrices, while the underlying CP rank could be determined automatically based on a Bayesian nonparametric approach...
October 19, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Sun-Hee Kim, Christos Faloutsos, Hyung-Jeong Yang, Seong-Whan Lee
We propose a nonlinear dynamic model for an invasive electroencephalogram analysis that learns the optimal parameters of the neural population model via the Levenberg-Marquardt algorithm. We introduce the crucial windows where the estimated parameters present patterns before seizure onset. The optimal parameters minimizes the error between the observed signal and the generated signal by the model. The proposed approach effectively discriminates between healthy signals and epileptic seizure signals. We evaluate the proposed method using an electroencephalogram dataset with normal and epileptic seizure sequences...
October 24, 2016: Journal of Integrative Neuroscience
Zafer Iscan, Maria Nazarova, Tommaso Fedele, Evgeny Blagovechtchenski, Vadim V Nikulin
Inter- and intra-subject variability of the motor evoked potentials (MEPs) to TMS is a well-known phenomenon. Although a possible link between this variability and ongoing brain oscillations was demonstrated, the results of the studies are not consistent with each other. Exploring this topic further is important since the modulation of MEPs provides unique possibility to relate oscillatory cortical phenomena to the state of the motor cortex probed with TMS. Given that alpha oscillations were shown to reflect cortical excitability, we hypothesized that their power and variability might explain the modulation of subject-specific MEPs to single- and paired-pulse TMS (spTMS, ppTMS, respectively)...
2016: Frontiers in Human Neuroscience
Benjamin Albright, Roni Dhaher, Helen Wang, Roa Harb, Tih-Shih W Lee, Hitten Zaveri, Tore Eid
Loss of glutamine synthetase (GS) in hippocampal astrocytes has been implicated in the causation of human mesial temporal lobe epilepsy (MTLE).However, the mechanism by which the deficiency in GS leads to epilepsy is incompletely understood. Here we ask how hippocampal GS inhibition affects seizure phenotype and neuronal activation during epilepsy development (epileptogenesis). Epileptogenesis was induced by infusing the irreversible GS blocker methionine sulfoximine (MSO) unilaterally into the hippocampal formation of rats...
October 18, 2016: Experimental Neurology
Umberto Melia, Eva Gabarron, Mercé Agustí, Nuria Souto, Patricia Pineda, Joan Fontanet, Montserrat Vallverdu, Erik Weber Jensen, Pedro Gambus
The objective of this work is to compare the performances of two electroencephalogram based indices for detecting loss of consciousness and loss of response to nociceptive stimulation. Specifically, their behaviour after drug induction and during recovery of consciousness was pointed out. Data was recorded from 140 patients scheduled for general anaesthesia with a combination of propofol and remifentanil. The qCON 2000 monitor (Quantium Medical, Barcelona, Spain) was used to calculate the qCON and qNOX. Loss of response to verbal command and loss of eye-lash reflex were assessed during the transition from awake to anesthetized, defining the state of loss of consciousness...
October 20, 2016: Journal of Clinical Monitoring and Computing
Carlos M Gómez, Elena I Rodríguez-Martínez, Alberto Fernández, Fernando Maestú, Jesús Poza, Carlos Gómez
The aim of this study was to define the pattern of reduction in absolute power spectral density (PSD) of magnetoencephalography (MEG) signals throughout development. Specifically, we wanted to explore whether the human skull's high permeability for electromagnetic fields would allow us to question whether the pattern of absolute PSD reduction observed in the human electroencephalogram is due to an increase in the skull's resistive properties with age. Furthermore, the topography of the MEG signals during maturation was explored, providing additional insights about the areas and brain rhythms related to late maturation in the human brain...
October 20, 2016: Brain Topography
Jing Wang, Zhaofeng Chen, Xiaozhe Peng, Tiantian Yang, Peng Li, Fengyu Cong, Hong Li
To investigate brain activity during the reinforcement learning process in social contexts is a topic of increasing research interest. Previous studies have mainly focused on using electroencephalograms (EEGs) for feedback evaluation in reinforcement learning tasks by measuring event-related potentials. Few studies have investigated the time-frequency (TF) profiles of a cue that manifested whether a following feedback is available or not after decision-making. Moreover, it remains unclear whether the TF profiles of the cue interact with different agents to whom the feedback related...
2016: Frontiers in Psychology
Elias Abou Zeid, Alborz Rezazadeh Sereshkeh, Tom Chau
OBJECTIVE: In recent years, the readiness potential (RP), a type of pre-movement neural activity, has been investigated for asynchronous electroencephalogram (EEG)-based brain-computer interfaces (BCIs). Since the RP is attenuated for involuntary movements, a BCI driven by RP alone could facilitate intentional control amid a plethora of unintentional movements. Previous studies have attempted single trial classification of RP via spatial and temporal filtering methods, or by combining the RP with event-related desynchronization...
October 20, 2016: Journal of Neural Engineering
E Kinney-Lang, B Auyeung, J Escudero
Rehabilitation applications using brain-computer interfaces (BCI) have recently shown encouraging results for motor recovery. Effective BCI neurorehabilitation has been shown to exploit neuroplastic properties of the brain through mental imagery tasks. However, these applications and results are currently restricted to adults. A systematic search reveals there is essentially no literature describing motor rehabilitative BCI applications that use electroencephalograms (EEG) in children, despite advances in such applications with adults...
October 20, 2016: Journal of Neural Engineering
Hamid Abbasi, Laura Bennet, Alistair J Gunn, Charles P Unsworth
Currently, there are no developed methods to detect sharp wave transients that exist in the latent phase after hypoxia-ischemia (HI) in the electroencephalogram (EEG) in order to determine if these micro-scale transients are potential biomarkers of HI. A major issue with sharp waves in the HI-EEG is that they possess a large variability in their sharp wave profile making it difficult to build a compact 'footprint of uncertainty' (FOU) required for ideal performance of a Type-2 fuzzy logic system (FLS) classifier...
August 18, 2016: International Journal of Neural Systems
Dirk Alexander Wittekind, Janek Spada, Alexander Gross, Tilman Hensch, Philippe Jawinski, Christine Ulke, Christian Sander, Ulrich Hegerl
OBJECTIVES: The arousal regulation model of affective disorders attributes an important role in the pathophysiology of affective disorders to dysregulation of brain arousal regulation. According to this model, sensation avoidance and withdrawal in depression and sensation seeking and hyperactivity in mania can be explained as auto-regulatory attempts to counteract a tonically high (depression) or unstable (mania) arousal. The aim of this study was to compare brain arousal regulation between manic and depressive bipolar patients and healthy controls...
September 2016: Bipolar Disorders
Michael J Murray, Heidi DeBlock, Brian Erstad, Anthony Gray, Judi Jacobi, Che Jordan, William McGee, Claire McManus, Maureen Meade, Sean Nix, Andrew Patterson, M Karen Sands, Richard Pino, Ann Tescher, Richard Arbour, Bram Rochwerg, Catherine Friederich Murray, Sangeeta Mehta
OBJECTIVE: To update the 2002 version of "Clinical practice guidelines for sustained neuromuscular blockade in the adult critically ill patient." DESIGN: A Task Force comprising 17 members of the Society of Critical Medicine with particular expertise in the use of neuromuscular-blocking agents; a Grading of Recommendations Assessment, Development, and Evaluation expert; and a medical writer met via teleconference and three face-to-face meetings and communicated via e-mail to examine the evidence and develop these practice guidelines...
November 2016: Critical Care Medicine
Amanda B Weber, Dara V Albert, Han Yin, Timothy Held, Anup Patel
INTRODUCTION: Strategies for diagnosing electrical status epilepticus during slow wave sleep (ESES) vary among interpreting neurologists. Our aim was to evaluate if the spike-wave index (SWI) for the first 100 seconds of sleep is reflective of the SWI when compared to a conventional method. METHODS: We reviewed electroencephalograms (EEGs) from 2005-2011 that were considered diagnostic of ESES based on unspecified methods. The SWI for the first non-rapid eye movement (NREM) sleep cycle (long method) was calculated by two neurophysiologists...
June 13, 2016: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Amanda R Tarullo, Joseph R Isler, Carmen Condon, Kimon Violaris, Peter D Balsam, William P Fifer
Using an eyelid conditioning paradigm modeled after that developed by Little, Lipsitt, and Rovee-Collier (1984), Fifer et al. (2010) demonstrated that newborn infants learn during sleep. This study examined the role of sleep state in neonatal learning. We recorded electroencephalogram (EEG), respiratory, and cardiovascular activity from sleeping full term newborn infants during delay eyelid conditioning. In the experimental group (n = 21), a tone was paired with an air puff to the eye. Consistent with Fifer et al...
November 2016: Developmental Psychobiology
Xiao-Yan Yang, Li-Li Long, Bo Xiao
OBJECTIVE: To study the role of video electroencephalogram (VEEG) versus regular electroencephalogram (REEG) in the diagnosis of epilepsy and localization of origin of epileptic discharge in children through a comparative analysis. METHODS: A retrospective analysis was performed for the clinical data of 223 children with clinical paroxysmal symptoms in the past and suspected epilepsy. VEEG and REEG were compared from the aspects of monitoring of clinical seizures, interictal epileptiform discharge (IED), localization of the origin of IED, and identification of non-epileptic seizures, and the detection rate of IED during awakening and sleep stages was also compared...
October 2016: Zhongguo Dang Dai Er Ke za Zhi, Chinese Journal of Contemporary Pediatrics
Julia Jacobs, Emily M Spelbrink
Infants born prematurely are highly vulnerable to brain injury and susceptible to seizures in the first weeks of life. Many neonatal seizures occur without reliable clinical signs and are detectable only on electroencephalogram (EEG); understanding EEG findings in these neonates is crucial for providing appropriate care. This can be challenging, as EEG background activity and patterns vary considerably with gestational age. Some physiologic preterm EEG patterns, such as rhythmic temporal theta activity or delta brushes, may be sharply contoured and appear similar to epileptic EEG patterns later in life...
October 2016: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Jukka Kortelainen, Eero Väyrynen, Usko Huuskonen, Jouko Laurila, Juha Koskenkari, Janne T Backman, Seppo Alahuhta, Tapio Seppänen, Tero Ala-Kokko
BACKGROUND: Slow waves (less than 1 Hz) are the most important electroencephalogram signatures of nonrapid eye movement sleep. While considered to have a substantial importance in, for example, providing conditions for single-cell rest and preventing long-term neural damage, a disturbance in this neurophysiologic phenomenon is a potential indicator of brain dysfunction. METHODS: Since, in healthy individuals, slow waves can be induced with anesthetics, the authors tested the possible association between hypoxic brain injury and slow-wave activity in comatose postcardiac arrest patients (n = 10) using controlled propofol exposure...
October 5, 2016: Anesthesiology
D Lelic, I W D Fischer, A E Olesen, C D Mørch, F G Arguissain, J A B Manresa, A Dahan, A M Drewes
Severe pain is often treated with opioids. Antidepressants that inhibit serotonin and norepinephrine reuptake (SNRI) have also shown a pain relieving effect, but for both SNRI and opioids the specific mode of action in humans remains vague. This study investigated how oxycodone and venlafaxine affect spinal and supraspinal pain processing. Twenty volunteers were included in this randomized cross-over study comparing five-day treatment with venlafaxine, oxycodone and placebo. As a proxy of the spinal pain transmission, the nociceptive withdrawal reflex (NWR) to electrical stimulation on the sole of the foot was recorded at the tibialis anterior muscle before and after five days of treatment...
October 17, 2016: European Journal of Neuroscience
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