keyword
MENU ▼
Read by QxMD icon Read
search

eeg patterns

keyword
https://www.readbyqxmd.com/read/28092583/deep-learning-and-insomnia-assisting-clinicians-with-their-diagnosis
#1
Mostafa Shahin, Beena Ahmed, Sana Tmar-Ben Hamida, Fathima Mulaffer, Martin Glos, Thomas Penzel
Effective sleep analysis is hampered by the lack of automated tools catering for disordered sleep patterns and cumbersome monitoring hardware. In this paper, we apply deep learning on a set of 57 EEG features extracted from a maximum of two EEG channels to accurately differentiate between patients with insomnia or controls with no sleep complaints. We investigated two different approaches to achieve this. The first approach used EEG data from the whole sleep recording irrespective of the sleep stage (stage-independent classification), while the second used only EEG data from insomnia-impacted specific sleep stages (stage-dependent classification)...
January 9, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28088684/changes-in-electroencephalographic-characteristics-and-blood-brain-barrier-permeability-in-wag-rij-rats-with-cortical-dysplasia
#2
Deniz Sahin, Canan Ugur Yilmaz, Nurcan Orhan, Nadir Arican, Mehmet Kaya, Candan Gürses, Nurbay Ates, Bulent Ahishali
PURPOSE: This study investigated the effects of cortical dysplasia (CD) on electrophysiology and blood-brain barrier (BBB) permeability in WAG/Rij rats with genetic absence epilepsy. METHODS: Pregnant WAG/Rij rats were exposed to 145cGy of gamma-irradiation on embryonic day 17 to induce CD. An electroencephalogram was recorded from cortices subdurally in the offspring of the pregnant animals. Horseradish peroxidase (HRP) was used as determinant of BBB permeability...
January 12, 2017: Epilepsy & Behavior: E&B
https://www.readbyqxmd.com/read/28087845/waking-eeg-cortical-markers-of-chronic-pain-and-sleepiness
#3
Danny Camfferman, G Lorimer Moseley, Kevin Gertz, Mark W Pettet, Mark P Jensen
OBJECTIVE: Spectral power analyses of EEG recordings are reported to distinguish the cortical activity of individuals with chronic pain from those of controls. Further study of these spectral patterns may provide a greater understanding of the processes associated with chronic pain, in addition to providing potential biometric markers of chronic pain for use in both clinical and research settings. However, sleep deprived groups have demonstrated similar characteristics in their spectral power characteristics, particularly in alpha bandwidth power activity...
January 13, 2017: Pain Medicine: the Official Journal of the American Academy of Pain Medicine
https://www.readbyqxmd.com/read/28072468/a-multi-dimensional-functional-principal-components-analysis-of-eeg-data
#4
Kyle Hasenstab, Aaron Scheffler, Donatello Telesca, Catherine A Sugar, Shafali Jeste, Charlotte DiStefano, Damla Şentürk
The electroencephalography (EEG) data created in event-related potential (ERP) experiments have a complex high-dimensional structure. Each stimulus presentation, or trial, generates an ERP waveform which is an instance of functional data. The experiments are made up of sequences of multiple trials, resulting in longitudinal functional data and moreover, responses are recorded at multiple electrodes on the scalp, adding an electrode dimension. Traditional EEG analyses involve multiple simplifications of this structure to increase the signal-to-noise ratio, effectively collapsing the functional and longitudinal components by identifying key features of the ERPs and averaging them across trials...
January 10, 2017: Biometrics
https://www.readbyqxmd.com/read/28068295/support-vector-machines-to-detect-physiological-patterns-for-eeg-and-emg-based-human-computer-interaction-a-review
#5
L R Quitadamo, F Cavrini, L Sbernini, F Riillo, L Bianchi, S Seri, G Saggio
Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human-computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature, insufficient details about the SVM implementation and/or parameters selection are reported, making it impossible to reproduce study analysis and results. In order to perform an optimized classification and report a proper description of the results, it is necessary to have a comprehensive critical overview of the applications of SVM...
January 9, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28065825/electroencephalogram-coherence-patterns-in-autism-an%C3%A2-updated-review
#6
REVIEW
Sophie Schwartz, Riley Kessler, Thomas Gaughan, Ashura W Buckley
Electrophysiologic studies suggest that autism spectrum disorder is characterized by aberrant anatomic and functional neural circuitry. During normal brain development, pruning and synaptogenesis facilitate ongoing changes in both short- and long-range neural wiring. In developmental disorders such as autism, this process may be perturbed and lead to abnormal neural connectivity. Careful analysis of electrophysiologic connectivity patterns using EEG coherence may provide a way to probe the resulting differences in neurological function between people with and without autism...
October 28, 2016: Pediatric Neurology
https://www.readbyqxmd.com/read/28065167/diagnostic-utility-of-brain-activity-flow-patterns-analysis-in-attention-deficit-hyperactivity-disorder
#7
J Biederman, P Hammerness, B Sadeh, Z Peremen, A Amit, H Or-Ly, Y Stern, A Reches, A Geva, S V Faraone
BACKGROUND: A previous small study suggested that Brain Network Activation (BNA), a novel ERP-based brain network analysis, may have diagnostic utility in attention deficit hyperactivity disorder (ADHD). In this study we examined the diagnostic capability of a new advanced version of the BNA methodology on a larger population of adults with and without ADHD. METHOD: Subjects were unmedicated right-handed 18- to 55-year-old adults of both sexes with and without a DSM-IV diagnosis of ADHD...
January 9, 2017: Psychological Medicine
https://www.readbyqxmd.com/read/28062149/prediction-of-neonatal-seizures-in-hypoxic-ischemic-encephalopathy-using-electroencephalograph-power-analyses
#8
Siddharth V Jain, Amit Mathur, Preethi Srinivasakumar, Michael Wallendorf, Joseph P Culver, John M Zempel
BACKGROUND: The severity of the initial encephalopathy in neonatal hypoxic-ischemic encephalopathy correlates with seizure burden. Early electroencephalograph (EEG) background activity reflects the severity of encephalopathy. Thus, we hypothesized that early EEG background would be predictive of subsequent seizures in neonatal hypoxic-ischemic encephalopathy. METHODS: This study included infants undergoing therapeutic hypothermia at St. Louis Children's Hospital between January 2009 and April 2013...
November 11, 2016: Pediatric Neurology
https://www.readbyqxmd.com/read/28060906/steady-state-motion-visual-evoked-potential-ssmvep-based-on-equal-luminance-colored-enhancement
#9
Wenqiang Yan, Guanghua Xu, Min Li, Jun Xie, Chengcheng Han, Sicong Zhang, Ailing Luo, Chaoyang Chen
Steady-state visual evoked potential (SSVEP) is one of the typical stimulation paradigms of brain-computer interface (BCI). It has become a research approach to improve the performance of human-computer interaction, because of its advantages including multiple objectives, less recording electrodes for electroencephalogram (EEG) signals, and strong anti-interference capacity. Traditional SSVEP using light flicker stimulation may cause visual fatigue with a consequent reduction of recognition accuracy. To avoid the negative impacts on the brain response caused by prolonged strong visual stimulation for SSVEP, steady-state motion visual evoked potential (SSMVEP) stimulation method was used in this study by an equal-luminance colored ring-shaped checkerboard paradigm...
2017: PloS One
https://www.readbyqxmd.com/read/28059473/striosomal-dysfunction-affects-behavioral-adaptation-but-not-impulsivity-evidence-from-x-linked-dystonia-parkinsonism
#10
Christian Beste, Moritz Mückschel, Raymond Rosales, Aloysius Domingo, Lillian Lee, Arlene Ng, Christine Klein, Alexander Münchau
BACKGROUND: Executive functions including behavioral adaptation and impulse control are commonly impaired in movement disorders caused by striatal pathology. However, as yet it is unclear what aspects of behavioral abnormalities are related to pathology in which striatal subcomponent, that is, the matrix and the striosomes. We therefore studied cognitive control in X-linked dystonia-parkinsonism, a model disease of striosomal degeneration, using behavioral paradigms and EEG. METHODS: We studied genetically confirmed X-linked dystonia-parkinsonism patients (N = 21) in their early disease stages and healthy matched controls...
January 6, 2017: Movement Disorders: Official Journal of the Movement Disorder Society
https://www.readbyqxmd.com/read/28056537/local-and-widely-distributed-eeg-activity-in-schizophrenia-with-prevalence-of-negative-symptoms
#11
Vera A Grin-Yatsenko, Valery A Ponomarev, Marina V Pronina, Yury I Poliakov, Irina V Plotnikova, Juri D Kropotov
We evaluated EEG frequency abnormalities in resting state (eyes closed and eyes open) EEG in a group of chronic schizophrenia patients as compared with healthy subjects. The study included 3 methods of analysis of deviation of EEG characteristics: genuine EEG, current source density (CSD), and group independent component (gIC). All 3 methods have shown that the EEG in schizophrenia patients is characterized by enhanced low-frequency (delta and theta) and high-frequency (beta) activity in comparison with the control group...
January 1, 2017: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://www.readbyqxmd.com/read/28050973/behavioral-state-classification-in-epileptic-brain-using-intracranial-electrophysiology
#12
Vaclav Kremen, Juliano Duque, Benjamin Brinkmann, Brent Berry, Michal Kucewicz, Fatemeh Khadjevand, Jamie Van Gompel, Squire Stead, Erik St Louis, Gregory A Worrell
OBJECTIVE: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery. APPROACH: Data from seven patients (age 34+/-12, 4 women, 5 right handed) who underwent intracranial depth electrode implantation for iEEG monitoring were included...
January 4, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28044024/an-auditory-illusion-reveals-the-role-of-streaming-in-the-temporal-misallocation-of-perceptual-objects
#13
Anahita H Mehta, Nori Jacoby, Ifat Yasin, Andrew J Oxenham, Shihab A Shamma
This study investigates the neural correlates and processes underlying the ambiguous percept produced by a stimulus similar to Deutsch's 'octave illusion', in which each ear is presented with a sequence of alternating pure tones of low and high frequencies. The same sequence is presented to each ear, but in opposite phase, such that the left and right ears receive a high-low-high … and a low-high-low … pattern, respectively. Listeners generally report hearing the illusion of an alternating pattern of low and high tones, with all the low tones lateralized to one side and all the high tones lateralized to the other side...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28044016/is-predictability-salient-a-study-of-attentional-capture-by-auditory-patterns
#14
Rosy Southwell, Anna Baumann, Cécile Gal, Nicolas Barascud, Karl Friston, Maria Chait
In this series of behavioural and electroencephalography (EEG) experiments, we investigate the extent to which repeating patterns of sounds capture attention. Work in the visual domain has revealed attentional capture by statistically predictable stimuli, consistent with predictive coding accounts which suggest that attention is drawn to sensory regularities. Here, stimuli comprised rapid sequences of tone pips, arranged in regular (REG) or random (RAND) patterns. EEG data demonstrate that the brain rapidly recognizes predictable patterns manifested as a rapid increase in responses to REG relative to RAND sequences...
February 19, 2017: Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
https://www.readbyqxmd.com/read/28043892/genetic-influences-on-functional-connectivity-associated-with-feedback-processing-and-prediction-error-phase-coupling-of-theta-band-oscillations-in-twins
#15
Şükrü Barış Demiral, Simon Golosheykin, Andrey P Anokhin
Detection and evaluation of the mismatch between the intended and actually obtained result of an action (reward prediction error) is an integral component of adaptive self-regulation of behavior. Extensive human and animal research has shown that evaluation of action outcome is supported by a distributed network of brain regions in which the anterior cingulate cortex (ACC) plays a central role, and the integration of distant brain regions into a unified feedback-processing network is enabled by long-range phase synchronization of cortical oscillations in the theta band...
December 31, 2016: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/28042973/disordered-cortical-connectivity-underlies-the-executive-function-deficits-in-children-with-autism-spectrum-disorders
#16
Yvonne M Y Han, Agnes S Chan
The present study examined the executive function and cortical connectivity of children with autism spectrum disorders (ASD) and investigated whether the executive function deficits exhibited by these children were differentially affected and associated with the cortical connectivity. The present study compared high-functioning (HFA) and low-functioning (LFA) children with typically developing children (TDC) on their executive functions as measured by the Hong Kong List Learning Test, D2 Test of Concentration, Five Point Test, Children's Color Trail Test, Tower of California Test, and Go/No-Go task and neural connectivity as measured by theta coherence in the distributed fronto-parietal network...
December 30, 2016: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/28034766/the-dynamic-functional-connectome-state-of-the-art-and-perspectives
#17
Maria Giulia Preti, Thomas Aw Bolton, Dimitri Van De Ville
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich structure of brain activity in absence of a task or stimulus. A great effort has been dedicated in the last two decades to investigate functional connectivity (FC), i.e. the functional interplay between different regions of the brain, which was for a long time assumed to have stationary nature. Only recently was the dynamic behaviour of FC revealed, showing that on top of correlational patterns of spontaneous fMRI signal fluctuations, connectivity between different brain regions exhibits meaningful variations within a typical resting-state fMRI experiment...
December 26, 2016: NeuroImage
https://www.readbyqxmd.com/read/28031992/striatal-morphology-correlates-with-frontostriatal-electrophysiological-motor-processing-in-huntington-s-disease-an-image-hd-study
#18
Lauren M Turner, David Jakabek, Fiona A Wilkes, Rodney J Croft, Andrew Churchyard, Mark Walterfang, Dennis Velakoulis, Jeffrey C L Looi, Nellie Georgiou-Karistianis, Deborah Apthorp
BACKGROUND: Huntington's disease (HD) causes progressive atrophy to the striatum, a critical node in frontostriatal circuitry. Maintenance of motor function is dependent on functional connectivity of these premotor, motor, and dorsolateral frontostriatal circuits, and structural integrity of the striatum itself. We aimed to investigate whether size and shape of the striatum as a measure of frontostriatal circuit structural integrity was correlated with functional frontostriatal electrophysiological neural premotor processing (contingent negative variation, CNV), to better understand motoric structure-function relationships in early HD...
December 2016: Brain and Behavior
https://www.readbyqxmd.com/read/28031176/evidence-for-an-optimal-algorithm-underlying-signal-combination-in-human-visual-cortex
#19
Daniel H Baker, Alex R Wade
How does the cortex combine information from multiple sources? We tested several computational models against data from steady-state electroencephalography (EEG) experiments in humans, using periodic visual stimuli combined across either retinal location or eye-of-presentation. A model in which signals are raised to an exponent before being summed in both the numerator and the denominator of a gain control nonlinearity gave the best account of the data. This model also predicted the pattern of responses in a range of additional conditions accurately and with no free parameters, as well as predicting responses at harmonic and intermodulation frequencies between 1 and 30 Hz...
December 27, 2016: Cerebral Cortex
https://www.readbyqxmd.com/read/28027874/deep-brain-stimulation-of-the-anterior-nucleus-of-the-thalamus-reverses-the-gene-expression-of-cytokines-and-their-receptors-as-well-as-neuronal-degeneration-in-epileptic-rats
#20
Ying-Chuan Chen, Guan-Yu Zhu, Xiu Wang, Lin Shi, Yin Jiang, Xin Zhang, Jian-Guo Zhang
BACKGROUND: Deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS) is effective in seizure control. However, the mechanisms remain unclear. METHODS: Sixty-four rats were randomly assigned to the control group, the kainic acid (KA) group, the sham-DBS group and the DBS group. Video-electroencephalogram (EEG) was used to monitor seizures. Quantitative real time PCR (qPCR) was applied for detecting interleukin-1 beta (IL-1β), IL-1 receptor (IL-1R), IL-6, IL-6 receptor (IL-6R), gp130, tumor necrosis factor-alpha (TNF-α), TNF-receptor 1 (TNF-R1) and TNF-receptor 2 (TNF-R2) expression 12 hours after the establishment of an epileptic model...
December 24, 2016: Brain Research
keyword
keyword
70977
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"