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Quantitative eeg

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https://www.readbyqxmd.com/read/29147145/long-range-temporal-correlations-of-broadband-eeg-oscillations-for-depressed-subjects-following-different-hemispheric-cerebral-infarction
#1
Dongzhe Hou, Chunfang Wang, Yuanyuan Chen, Weijie Wang, Jingang Du
Abnormal long-range temporal correlation (LRTC) in EEG oscillation has been observed in several brain pathologies and mental disorders. This study examined the relationship between the LRTC of broadband EEG oscillation and depression following cerebral infarction with different hemispheric lesions to provide a novel insight into such depressive disorders. Resting EEGs of 16 channels in 18 depressed (9 left and 9 right lesions) and 21 non-depressed (11 left and 10 right lesions) subjects following cerebral infarction and 19 healthy control subjects were analysed by means of detrended fluctuation analysis, a quantitative measurement of LRTC...
December 2017: Cognitive Neurodynamics
https://www.readbyqxmd.com/read/29142097/fast-oscillation-dynamics-during-hypsarrhythmia-as-a-localization-biomarker
#2
Min-Jee Kim, Mi-Sun Yum, Hye-Ryun Yeh, Tae-Sung Ko
Hypsarrhythmia in West syndrome, although hard to define, is characterized by chaotic and disorganized electrical activity of the brain and is often regarded as a generalized EEG pattern without any localization value. Using event-related spectral perturbation (ERSP), we tried to determine the brain dynamics during hypsarrhythmia. Routine 1-h scalp EEGs were retrieved from 31 patients with infantile spasms and 20 age-matched controls. Using the EEGLAB toolbox of MATLAB 2015b, the ERSPs of fast oscillations (FOs; 20-100 Hz) of selected channels were analyzed and compared among groups according to their MRI lesions...
November 15, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/29141595/eeg-dynamical-correlates-of-focal-and-diffuse-causes-of-coma
#3
MohammadMehdi Kafashan, Shoko Ryu, Mitchell J Hargis, Osvaldo Laurido-Soto, Debra E Roberts, Akshay Thontakudi, Lawrence Eisenman, Terrance T Kummer, ShiNung Ching
BACKGROUND: Rapidly determining the causes of a depressed level of consciousness (DLOC) including coma is a common clinical challenge. Quantitative analysis of the electroencephalogram (EEG) has the potential to improve DLOC assessment by providing readily deployable, temporally detailed characterization of brain activity in such patients. While used commonly for seizure detection, EEG-based assessment of DLOC etiology is less well-established. As a first step towards etiological diagnosis, we sought to distinguish focal and diffuse causes of DLOC through assessment of temporal dynamics within EEG signals...
November 15, 2017: BMC Neurology
https://www.readbyqxmd.com/read/29113565/using-learning-analytics-to-evaluate-a-video-based-lecture-series
#4
K H Vincent Lau, Pue Farooque, Gary Leydon, Michael L Schwartz, R Mark Sadler, Jeremy J Moeller
BACKGROUND: The video-based lecture (VBL), an important component of the flipped classroom (FC) and massive open online course (MOOC) approaches to medical education, has primarily been evaluated through direct learner feedback. Evaluation may be enhanced through learner analytics (LA) - analysis of quantitative audience usage data generated by video-sharing platforms. METHODS AND RESULTS: We applied LA to an experimental series of ten VBLs on electroencephalography (EEG) interpretation, uploaded to YouTube in the model of a publicly accessible MOOC...
November 7, 2017: Medical Teacher
https://www.readbyqxmd.com/read/29108430/exploration-of-the-pathophysiology-of-chronic-pain-using-quantitative-eeg-source-localization
#5
Leslie S Prichep, Jaini Shah, Henry Merkin, Emile M Hiesiger
Chronic pain affects more than 35% of the US adult population representing a major public health imperative. Currently, there are no objective means for identifying the presence of pain, nor for quantifying pain severity. Through a better understanding of the pathophysiology of pain, objective indicators of pain might be forthcoming. Brain mechanisms mediating the painful state were imaged in this study, using source localization of the EEG. In a population of 77 chronic pain patients, significant overactivation of the "Pain Matrix" or pain network, was found in brain regions including, the anterior cingulate, anterior and posterior insula, parietal lobule, thalamus, S1, and dorsolateral prefrontal cortex (DLPFC), consistent with those reported with conventional functional imaging, and extended to include the mid and posterior cingulate, suggesting that the increased temporal resolution of electrophysiological measures may allow a more precise identification of the pain network...
November 1, 2017: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://www.readbyqxmd.com/read/29107771/overlapping-frontoparietal-networks-for-tactile-and-visual-parametric-working-memory-representations
#6
Yuan-Hao Wu, Işıl Uluç, Timo Torsten Schmidt, Kathrin Tertel, Evgeniya Kirilina, Felix Blankenburg
Previous working memory (WM) research based on non-human primate electrophysiology and human EEG has shown that frontal brain regions maintain frequencies of flutter stimulation across different sensory modalities by means of a supramodal parametric WM code. These findings imply that frontal regions encode the memorized frequencies in a sensory-unspecific, quantitative format. Here, we explored which brain regions maintain information about frequencies provided by different sensory modalities at the level of activity pattern across fMRI voxel populations...
October 28, 2017: NeuroImage
https://www.readbyqxmd.com/read/29097049/the-absence-of-resting-state-high-gamma-cross-frequency-coupling-in-patients-with-tinnitus
#7
Min-Hee Ahn, Sung Kwang Hong, Byoung-Kyong Min
Tinnitus is a psychoacoustic phantom perception of currently unknown neuropathology. Despite a growing number of post-stimulus tinnitus studies, uncertainty still exists regarding the neural signature of tinnitus in the resting-state brain. In the present study, we used high-gamma cross-frequency coupling and a Granger causality analysis to evaluate resting-state electroencephalographic (EEG) data in healthy participants and patients with tinnitus. Patients with tinnitus lacked robust frontal delta-phase/central high-gamma-amplitude coupling that was otherwise clearly observed in healthy participants...
October 30, 2017: Hearing Research
https://www.readbyqxmd.com/read/29081420/qeeg-based-neural-correlates-of-decision-making-in-a-well-trained-eight-year-old-chess-player
#8
Abolfazl Alipour, Sahar Seifzadeh, Hadi Aligholi, Mohammad Nami
The neurocognitive substrates of decision making (DM) in the context of chess has appealed to researchers' interest for decades. Expert and beginner chess players are hypothesized to employ different brain functional networks when involved in episodes of critical DM upon chess. Cognitive capacities including, but not restricted to pattern recognition, visuospatial search, reasoning, planning and DM are perhaps the key determinants of rewarding and judgmental decisions in chess. Meanwhile, the precise neural correlates of DM in this context has largely remained elusive...
October 25, 2017: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/29081418/neurobiological-parameters-in-quantitative-prediction-of-treatment-outcome-in-schizophrenic-patients
#9
Andrey F Iznak, Ekaterina V Iznak, Tatiana P Klyushnik, Georgy M Kobel'kov, Elena V Damjanovich, Igor V Oleichik, Lilia I Abramova
The aim of the study was to reveal the set of neurobiological parameters informative for individual quantitative prediction of therapeutic response in schizophrenic patients. Correlation and regression analyses of quantitative clinical scores (by Positive And Negative Syndromes Scale - PANSS), together with background EEG spectral power values and four immunological parameters: enzymatic activity of leukocyte elastase and of alpha-1 proteinase inhibitor, as well as serum levels of autoantibodies to common myelin protein and to nerve growth factor, were performed in 50 patients (all females, aged 32...
October 24, 2017: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/29066239/neurophysiological-correlates-of-depressive-symptoms-in-young-adults-a-quantitative-eeg-study
#10
Poh Foong Lee, Donica Pei Xin Kan, Paul Croarkin, Cheng Kar Phang, Deniz Doruk
BACKGROUND: There is an unmet need for practical and reliable biomarkers for mood disorders in young adults. Identifying the brain activity associated with the early signs of depressive disorders could have important diagnostic and therapeutic implications. In this study we sought to investigate the EEG characteristics in young adults with newly identified depressive symptoms. METHODS: Based on the initial screening, a total of 100 participants (n = 50 euthymic, n = 50 depressive) underwent 32-channel EEG acquisition...
October 21, 2017: Journal of Clinical Neuroscience: Official Journal of the Neurosurgical Society of Australasia
https://www.readbyqxmd.com/read/29063783/iron-therapy-substantially-restores-qeeg-maturational-lag-among-iron-deficient-anemic-infants
#11
Gloria A Otero, Thalía Fernández, F Bernardo Pliego-Rivero, Gustavo G Mendieta
OBJECTIVE: To use quantitative electroencephalography (qEEG) to assess the impact of iron-deficiency anemia on central nervous system maturation in the first year of life. METHOD: Twenty-five infants (3-12 months old) presenting ferropenic anemia (IDA) and 25 healthy controls (CTL1), matched by age/gender with the former, were studied in two stages. Electroencephalogram during spontaneous sleep was recorded from all participants; the fast Fourier transform was calculated to obtain absolute power (AP) and relative power (RP) qEEG measures...
October 24, 2017: Nutritional Neuroscience
https://www.readbyqxmd.com/read/29060891/why-build-an-integrated-eeg-nirs-about-the-advantages-of-hybrid-bio-acquisition-hardware
#12
A von Luhmann, K-R Muller
OBJECTIVE: In medical applications, neuroscience and brain-computer interface research, bimodal acquisition of brain activity using Electroencephalography (EEG) and functional Near Infrared Spectroscopy (fNIRS) is at the moment achieved by combining separate commercial devices. We have investigated quantitatively whether dedicated hybrid systems exhibit more advantageous properties. METHODS: We studied intermodality electrical crosstalk and timing jitter in two separate and one hybrid EEG-NIRS acquisition device...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060724/a-flexible-method-for-the-automated-offline-detection-of-artifacts-in-multi-channel-electroencephalogram-recordings
#13
Markus Waser, Heinrich Garn, Thomas Benke, Peter Dal-Bianco, Gerhard Ransmayr, Reinhold Schmidt, Poul J Jennum, Helge B D Sorensen
Electroencephalogram (EEG) signal quality is often compromised by artifacts that corrupt quantitative EEG measurements used in clinical applications and EEG-related studies. Techniques such as filtering, regression analysis and blind source separation are often used to remove these artifacts. However, these preprocessing steps do not allow for complete artifact correction. We propose a method for the automated offline-detection of remaining artifacts after preprocessing in multi-channel EEG recordings. In contrast to existing methods it requires neither adaptive parameters varying between recordings nor a topography template...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29060715/detecting-obstructive-sleep-apnea-in-children-by-self-affine-visualization-of-oximetry
#14
Ainara Garde, Parastoo Dekhordi, Christian L Petersen, J Mark Ansermino, Guy A Dumont
Obstructive sleep apnea (OSA), characterized by cessations of breathing during sleep due to upper airway collapse, can affect the healthy growth and development of children. The gold standard for OSA diagnosis, polysomnography(PSG), is expensive and resource intensive, resulting in long waiting lists to perform a PSG. Previously, we investigated the time-frequency analysis of blood oxygen saturation (SpO2) to screen for OSA. We used overnight pulse oximetry from 146 children, collected using a smartphone-based pulse oximeter (Phone Oximeter), simultaneously with standard PSG...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29059914/analysis-of-electroencephalogram-of-patients-with-specific-low-back-pain-with-the-massage-treatment
#15
Xiangjun Sun, Huihui Li, Wenjing Du, Wenmin Chen, Fang Zhou, Lei Wang
Through the investigation of the difference of approximate entropy (ApEn) and Hilbert-Huang Transform Marginal spectrum entropy (HHTMSEn) of the Electroencephalogram (EEG) signals of specific low back pain (SLBP) patients before and after the massage, we wanted to reveal the impact of the massage in the brain, and provided the basis for the massage treatment of SLBP patients. We recruited twenty-six SLBP patients and collected their spontaneous EEG signals before and after the massage. Firstly, we analyzed the ApEn and HHTMSEn of fourteen channels before and after the massage, and results showed that values of ApEn and HHTMSEn after the massage were less than the values before the massage significantly...
July 2017: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/29054698/visual-and-quantitative-electroencephalographic-analysis-in-healthy-term-neonates-within-the-first-six%C3%A2-hours-and-the-third-day-of-life
#16
José R Castro Conde, Desiré González Barrios, Candelaria González Campo, Nieves L González González, Beatriz Reyes Millán, Alejandro Jiménez Sosa
BACKGROUND: What constitutes a "normal" background electroencephalography (EEG) rhythm immediately after birth is not well understood. We performed video-electroencephalography recordings in the first six hours (first measure) and the third day of life (second measure) for evidence of transient changes in brain function. METHODS: We performed a cohort study of an incidental sample of healthy term neonates in a single-center nursery. Main outcome measures were as follows: (1) EEG visual analysis, which included sleep-wake cycles, proportions of discontinuity and bursts with delta brushes, and number per hour of alpha/theta rolandic activity, encoches frontales, and transients; and (2) the electroencephalographic spectral analysis, which included power spectrum in the following frequency bands: delta, 0...
May 4, 2017: Pediatric Neurology
https://www.readbyqxmd.com/read/29035230/a-deep-machine-learning-method-for-classifying-cyclic-time-series-of-biological-signals-using-time-growing-neural-network
#17
Arash Gharehbaghi, Maria Linden
This paper presents a novel method for learning the cyclic contents of stochastic time series: the deep time-growing neural network (DTGNN). The DTGNN combines supervised and unsupervised methods in different levels of learning for an enhanced performance. It is employed by a multiscale learning structure to classify cyclic time series (CTS), in which the dynamic contents of the time series are preserved in an efficient manner. This paper suggests a systematic procedure for finding the design parameter of the classification method for a one-versus-multiple class application...
October 12, 2017: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29034646/index-of-theta-alpha-ratio-of-the-quantitative-electroencephalogram-in-alzheimer-s-disease-a-case-control-study
#18
Golshan Fahimi, Seyed Mahmoud Tabatabaei, Elnaz Fahimi, Hamid Rajebi
Alzheimer's disease (AD) is a devastating neurodegenerative disorder in human beings associated with cognitive, behavioral and motor impairments. The main symptom of AD is dementia, which causes difficulties in carrying out daily practices. Brain waves are altered in people with AD. Relative indices of brain waves can be beneficial in the diagnosis of AD. In this case-control study, 50 patients with AD and 50 matched healthy individuals were enrolled in case and control groups respectively. With recording and analyzing of brain waves with the utilization of quantitative electroencephalogram (QEEG), index of theta/alpha ratio was assessed in both groups...
August 2017: Acta Medica Iranica
https://www.readbyqxmd.com/read/29034618/altered-electroencephalography-spectral-profiles-in-rats-with-different-patterns-of-experimental-brain-dysplasia
#19
Michal Kielbinski, Zuzanna Setkowicz, Kinga Gzielo, Władysław Węglarz, Krzysztof Janeczko
BACKGROUND: Malformations of cortical development, such as focal cortical dysplasia, are commonly associated with intractable epilepsy. Multiple animal models were created in attempts to recapitulate features of human malformations of cortical development. These manipulations give rise to various focal or diffuse anatomical abnormalities, accompanied by altered susceptibility to epileptic seizures. Both in humans and in models of dysplasia, the question of timing of the initiating insult is important...
October 16, 2017: Birth defects research
https://www.readbyqxmd.com/read/29018811/high-frequency-eeg-variations-in-children-with-autism-spectrum-disorder-during-human-faces-visualization
#20
Celina A Reis Paula, Camille Reategui, Bruna Karen de Sousa Costa, Caio Queiroz da Fonseca, Luana da Silva, Edgard Morya, Fabricio Lima Brasil
Autism spectrum disorder (ASD) is a neuropsychiatric disorder characterized by the impairment in the social reciprocity, interaction/language, and behavior, with stereotypes and signs of sensory function deficits. Electroencephalography (EEG) is a well-established and noninvasive tool for neurophysiological characterization and monitoring of the brain electrical activity, able to identify abnormalities related to frequency range, connectivity, and lateralization of brain functions. This research aims to evidence quantitative differences in the frequency spectrum pattern between EEG signals of children with and without ASD during visualization of human faces in three different expressions: neutral, happy, and angry...
2017: BioMed Research International
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