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eeg patterns

Ji Yeoun Yoo, Lara V Marcuse, Madeline C Fields, Jillian Rosengard, Maria Vittoria Traversa, Nicolas Gaspard, Lawrence J Hirsch
INTRODUCTION: Brief potentially ictal rhythmic discharges (B(I)RDs) have been described in neonates and critically ill adults, and their association with seizures has been demonstrated. Their significance in non-critically ill adults remains unclear. We aimed to investigate their prevalence, electrographic characteristics and clinical significance. METHODS: We identified adult patients with B(I)RDs who received long term EEG recordings either in the epilepsy monitoring unit or in the ambulatory setting...
October 19, 2016: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Pekka Hautasaari, Andrej M Savić, Otto Loberg, Eini Niskanen, Jaakko Kaprio, Urho M Kujala, Ina M Tarkka
Associations between long-term physical activity and cortical function and brain structure are poorly known. Our aim was to assess whether brain functional and/or structural modulation associated with long-term physical activity is detectable using a discordant monozygotic male twin pair design. Nine monozygotic male twin pairs were carefully selected for an intrapair difference in their leisure-time physical activity of at least three years duration (mean age 34 ± 1 years). We registered somatosensory mismatch response (SMMR) in EEG to electrical stimulation of fingers and whole brain MR images...
October 19, 2016: Brain Topography
Akiyoshi Ishikawa, Keita Sakai, Takehiro Maki, Yuri Mizuno, Kimie Niimi, Yasuhiro Oda, Eiki Takahashi
To understand sleep mechanisms and develop treatments for sleep disorders, investigations using animal models are essential. The sleep architecture of rodents differs from that of diurnal mammals including humans and non-human primates. Sleep studies have been conducted in non-human primates; however, these sleep assessments were performed on animals placed in a restraint chair connected via the umbilical area to the recording apparatus. To avoid restraints, cables, and other stressful apparatuses and manipulations, telemetry systems have been developed...
October 18, 2016: Experimental Animals
Zhong-Ke Gao, Qing Cai, Yu-Xuan Yang, Wei-Dong Dang, Shan-Shan Zhang
Visibility graph has established itself as a powerful tool for analyzing time series. We in this paper develop a novel multiscale limited penetrable horizontal visibility graph (MLPHVG). We use nonlinear time series from two typical complex systems, i.e., EEG signals and two-phase flow signals, to demonstrate the effectiveness of our method. Combining MLPHVG and support vector machine, we detect epileptic seizures from the EEG signals recorded from healthy subjects and epilepsy patients and the classification accuracy is 100%...
October 19, 2016: Scientific Reports
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
Evangelia I Zacharaki, Iosif Mporas, Kyriakos Garganis, Vasileios Megalooikonomou
Epileptiform discharges in interictal electroencephalography (EEG) form the mainstay of epilepsy diagnosis and localization of seizure onset. Visual analysis is rater-dependent and time consuming, especially for long-term recordings, while computerized methods can provide efficiency in reviewing long EEG recordings. This paper presents a machine learning approach for automated detection of epileptiform discharges (spikes). The proposed method first detects spike patterns by calculating similarity to a coarse shape model of a spike waveform and then refines the results by identifying subtle differences between actual spikes and false detections...
June 2016: Brain Informatics
Abdulkadir Şengür, Yanhui Guo, Yaman Akbulut
Detection of epileptic seizure in electroencephalogram (EEG) signals is a challenging task and requires highly skilled neurophysiologists. Therefore, computer-aided detection helps neurophysiologist in interpreting the EEG. In this paper, texture representation of the time-frequency (t-f) image-based epileptic seizure detection is proposed. More specifically, we propose texture descriptor-based features to discriminate normal and epileptic seizure in t-f domain. To this end, three popular texture descriptors are employed, namely gray-level co-occurrence matrix (GLCM), texture feature coding method (TFCM), and local binary pattern (LBP)...
June 2016: Brain Informatics
Nicole David, Till R Schneider, Ina Peiker, Reem Al-Jawahiri, Andreas K Engel, Elizabeth Milne
Autism spectrum disorders (ASD) have been associated with altered neural oscillations, especially fast oscillatory activity in the gamma frequency range, suggesting fundamentally disturbed temporal coordination of activity during information processing. A detailed review of available cortical oscillation studies in ASD does not convey a clear-cut picture with respect to dysfunctional oscillation patterns in the gamma or other frequency ranges. Recent evidence suggests that instead of a general failure to activate or synchronize the cortex, there is greater intra-participant variability across behavioral, fMRI and EEG responses in ASD...
October 13, 2016: Neuroscience and Biobehavioral Reviews
Irene Sturm, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller
BACKGROUND: In cognitive neuroscience the potential of Deep Neural Networks (DNNs) for solving complex classification tasks is yet to be fully exploited. The most limiting factor is that DNNs as notorious 'black boxes' do not provide insight into neurophysiological phenomena underlying a decision. Layer-wise Relevance Propagation (LRP) has been introduced as a novel method to explain individual network decisions. NEW METHOD: We propose the application of DNNs with LRP for the first time for EEG data analysis...
October 13, 2016: Journal of Neuroscience Methods
Francesca Pistoia, Simona Sacco, Janet Stewart, Marco Sarà, Antonio Carolei
The experience of pain in disorders of consciousness is still debated. Neuroimaging studies, using functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET), multichannel electroencephalography (EEG) and laser-evoked potentials, suggest that the perception of pain increases with the level of consciousness. Brain activation in response to noxious stimuli has been observed in patients with unresponsive wakefulness syndrome (UWS), which is also referred to as a vegetative state (VS), as well as those in a minimally conscious state (MCS)...
October 8, 2016: Brain Sciences
Abbas Sohrabpour, Shuai Ye, Gregory A Worrell, Wenbo Zhang, Bin He
: Combined source imaging techniques and directional connectivity analysis can provide useful information about the underlying brain networks in a noninvasive fashion. Source imaging techniques have been used successfully to either determine the source of activity or to extract source time-courses for Granger causality analysis, previously. In this work, we utilize source imaging algorithms to both find the network nodes (regions of interest) and then extract the activation time series for further Granger causality analysis...
October 11, 2016: IEEE Transactions on Bio-medical Engineering
Cara M Lusby, Sherryl H Goodman, Ellen W Yeung, Martha Ann Bell, Zachary N Stowe
Associations between infants' frontal EEG asymmetry and temperamental negative affectivity (NA) across infants' first year of life and the potential moderating role of maternal prenatal depressive symptoms were examined prospectively in infants (n = 242) of mothers at elevated risk for perinatal depression. In predicting EEG, in the context of high prenatal depressive symptoms, infant NA and frontal EEG asymmetry were negatively associated at 3 months of age and positively associated by 12 months of age. By contrast, for low depression mothers, infant NA and EEG were not significantly associated at any age...
November 2016: Development and Psychopathology
Matthieu Dubois, Cécile Chenivesse, Mathieu Raux, Adrian Morales-Robles, Marie-Cécile Nierat, Gilles Garcia, Xavier Navarro-Sune, Mario Chavez, Jacques Martinerie, Thomas Similowski
: Spontaneous ventilation in mammals is driven by automatic brainstem networks that generate the respiratory rhythm and increase ventilation in the presence of increased carbon dioxide production. Hypocapnia decreases the drive to breathe and induces apnea. In humans, this occurs during sleep but not during wakefulness. We hypothesized that hypocapnic breathing would be associated with respiratory-related cortical activity similar to that observed during volitional breathing, inspiratory constraints, or in patients with defective automatic breathing (preinspiratory potentials)...
October 12, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Udaya Seneviratne, Ray C Boston, Mark Cook, Wendyl D'Souza
OBJECTIVE: We sought to investigate the temporal patterns and sleep-wake cycle-related epileptiform discharges (EDs) in genetic generalized epilepsies (GGEs). METHODS: We studied 24-hour ambulatory electroencephalography (EEG) recordings of patients with GGE, diagnosed and classified according to the International League against Epilepsy criteria. We manually coded the type of discharge, time of occurrence, duration, and arousal state of each ED. We employed mixed effects Poisson regression modeling to study the temporal distribution of epileptiform discharges...
October 7, 2016: Epilepsy & Behavior: E&B
Olga Kriukova, Nivedita Mani
Listeners are sensitive to the metric structure of words, i.e., an alternating pattern of stressed and unstressed syllables, in auditory speech processing: Event-related potentials recorded as participants listen to a sequence of words with a consistent metrical pattern, e.g., a series of trochaic words, suggest that participants register words metrically incongruent with the preceding sequence. Here we examine whether the processing of individual words in silent reading is similarly impacted by rhythmic properties of the surrounding context...
2016: Frontiers in Psychology
Anna Dora Manca, Mirko Grimaldi
Speech sound perception is one of the most fascinating tasks performed by the human brain. It involves a mapping from continuous acoustic waveforms onto the discrete phonological units computed to store words in the mental lexicon. In this article, we review the magnetoencephalographic studies that have explored the timing and morphology of the N1m component to investigate how vowels and consonants are computed and represented within the auditory cortex. The neurons that are involved in the N1m act to construct a sensory memory of the stimulus due to spatially and temporally distributed activation patterns within the auditory cortex...
2016: Frontiers in Psychology
Celestino Rodríguez, Paloma González-Castro, Marisol Cueli, Debora Areces, Julio A González-Pienda
Attention deficit with, or without, hyperactivity and impulsivity (ADHD) is categorized as neuro-developmental disorder. ADHD is a common disorder in childhood and one of the most frequent conditions affecting school ages. This disorder is characterized by a persistent behavioral pattern associated with inattention, over-activity (or hyperactivity), and difficulty in controlling impulses. Current research suggests the existence of certain patterns of cortical activation and executive control, which could more objectively identify ADHD...
2016: Frontiers in Psychology
Knut A Hestad, Siri Weider, Kristian Bernhard Nilsen, Marit Sæbø Indredavik, Trond Sand
OBJECTIVE: To conduct a blind study of quantitative electroencephalogram-band amplitudes in patients with anorexia nervosa (AN) and healthy controls. METHODS: Twenty-one patients with AN and 24 controls were examined with eyes-closed 16-channel electroencephalogram. Main variables were absolute alpha, theta, and delta amplitudes in frontal, temporal, and posterior regions. RESULTS: There were no significant differences between the AN patients and controls regarding absolute regional band amplitudes in μV...
2016: Neuropsychiatric Disease and Treatment
Joshua J LaRocque, Adam C Riggall, Stephen M Emrich, Bradley R Postle
A long-standing assumption of cognitive neuroscience has been that working memory (WM) is accomplished by sustained, elevated neural activity. More recently, theories of WM have expanded this view by describing different attentional states in WM with differing activation levels. Several studies have used multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data to study neural activity corresponding to these WM states. Intriguingly, no evidence was found for active neural representations for information held in WM outside the focus of attention ("unattended memory items," UMIs), suggesting that only attended memory items (AMIs) are accompanied by an active trace...
October 4, 2016: Cerebral Cortex
Margaret Schneider, Larissa Chau, Maliheh Mohamadpour, Nakita Stephens, Kapil Arya, Arthur Grant
Asymmetry in frontal alpha activation (FAA) has been associated with specific behavior patterns. Greater activation in the left frontal cortex is related to "approach" motivation, while greater activation in the right cortex is associated with "withdrawal" motivation. Moreover, resting FAA is stable over time among adults. This stability has not been demonstrated among adolescents, and the correspondence between resting FAA and personality has been inconsistently observed. The present study examined stability of FAA and the association between resting FAA and behavioral activation among adolescents...
October 2016: Biological Psychology
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