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Journal articles on the topic 'Theta/beta ratios'

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1

Sokhadze, E. M., B. Hillard, M. Eng, A. S. El-Baz, A. Tasman, and L. Sears. "ELECTROENCEPHALOGRAPHIC BIOFEEDBACK IMPROVES FOCUSED ATTENTION IN ATTENTION DEFICIT/HYPERACTIVITY DISORDER." Bulletin of Siberian Medicine 12, no. 2 (2013): 182–94. http://dx.doi.org/10.20538/1682-0363-2013-2-182-194.

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EEG biofeedback (so called neurofeedback) is considered as an efficacious treatment for ADHD. We propose that operant conditioning of EEG in neurofeedback training mode, aimed to mitigate inattention and low arousal in ADHD, will be accompanied by changes in EEG bands' relative power. Patients were 18 children diagnosed with ADHD. The neurofeedback protocol (“Focus/Alertness” by Peak Achievement Trainer, Neurotek, KY) used to train patients has focused attention training procedure, which according to specifications, represents wide band EEG amplitude suppression training. Quantitative EEG anal
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2

Alahmadi, Nsreen. "Classifying Children with Learning Disabilities on the Basis of Resting State EEG Measures Using a Linear Discriminant Analysis." Zeitschrift für Neuropsychologie 26, no. 4 (2015): 249–56. http://dx.doi.org/10.1024/1016-264x/a000161.

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Abstract. This study examines the usefulness of easy to obtain EEG measures to discriminate learning-disabled children (LD) from healthy control children. Here the spectral power in the delta, theta, alpha, and beta EEG bands and various power ratios (theta/alpha, theta/beta, beta/alpha, beta/theta, beta/[alpha+theta], [delta+theta]/alpha, alpha/delta, and [theta+alpha]/beta) are applied. These measures were subjected to a factor analysis with varimax rotation revealing four factors explaining 90 % of the entire variance. Factor 1 represents the power of the slow EEG frequency bands delta and
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3

Sari Gokten, Emel, Emine Elif Tulay, Birsu Beser, et al. "Predictive Value of Slow and Fast EEG Oscillations for Methylphenidate Response in ADHD." Clinical EEG and Neuroscience 50, no. 5 (2019): 332–38. http://dx.doi.org/10.1177/1550059419863206.

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Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder and is characterized by symptoms of inattention and/or hyperactivity and impulsivity. In the current study, we obtained quantitative EEG (QEEG) recordings of 51 children aged between 6 and 12 years before the initiation of methylphenidate treatment. The relationship between changes in the scores of ADHD symptoms and initial QEEG features (power/power ratios values) were assessed. In addition, the children were classified as responder and nonresponder according to the ratio of their response to the me
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4

Abdelfattah, Sherif M., Kathryn E. Merrick, and Hussein A. Abbass. "Theta-Beta Ratios Are Prominent EEG Features for Visual Tracking Tasks." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (2016): 21–25. http://dx.doi.org/10.1177/1541931213601005.

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Yi Wen, Tee, and Siti Armiza Mohd Aris. "Electroencephalogram (EEG) stress analysis on alpha/beta ratio and theta/beta ratio." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (2020): 175. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp175-182.

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<span>This paper presents an analysis of stress feature using the power ratio of frequency bands including Alpha to Beta and Theta to Beta. In this study, electroencephalography (EEG) acquisition tool was utilized to collect brain signals from 40 subjects and objectively reflected stress features induced by virtual reality (VR) technology. The EEG signals were analyzed using Welch’s fast Fourier transform (FFT) to extract power spectral density (PSD) features which represented the power of a signal distributed over a range of frequencies. Slow wave versus fast wave (SW/FW) of EEG has bee
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6

Huang, Ching-Wen, Chung-Ju Huang, Chiao-Ling Hung, Chia-Hao Shih, and Tsung-Min Hung. "Physical Fitness and Resting EEG in Children With Attention Deficit Hyperactivity Disorder." Journal of Psychophysiology 29, no. 1 (2015): 26–32. http://dx.doi.org/10.1027/0269-8803/a000131.

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Children with attention deficit hyperactivity disorder (ADHD) are characterized by a deviant pattern of brain oscillations during resting state, particularly elevated theta power and increased theta/alpha and theta/beta ratios that are related to cognitive functioning. Physical fitness has been found beneficial to cognitive performance in a wide age population. The purpose of the present study was to investigate the relationship between physical fitness and resting-state electroencephalographic (EEG) oscillations in children with ADHD. EEG was recorded during eyes-open resting for 28 children
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van Dijk, Hanneke, Roger deBeus, Cynthia Kerson, et al. "Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls." Applied Psychophysiology and Biofeedback 45, no. 3 (2020): 165–73. http://dx.doi.org/10.1007/s10484-020-09471-2.

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Abstract There has been ongoing research on the ratio of theta to beta power (Theta/Beta Ratio, TBR) as an EEG-based test in the diagnosis of ADHD. Earlier studies reported significant TBR differences between patients with ADHD and controls. However, a recent meta-analysis revealed a marked decline of effect size for the difference in TBR between ADHD and controls for studies published in the past decade. Here, we test if differences in EEG processing explain the heterogeneity of findings. We analyzed EEG data from two multi-center clinical studies. Five different EEG signal processing algorit
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Wischnewski, Miles, Mie L. Joergensen, Boukje Compen, and Dennis J. L. G. Schutter. "Frontal Beta Transcranial Alternating Current Stimulation Improves Reversal Learning." Cerebral Cortex 30, no. 5 (2020): 3286–95. http://dx.doi.org/10.1093/cercor/bhz309.

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Abstract Electroencephalogram (EEG) studies suggest an association between beta (13–30 Hz) power and reversal learning performance. In search for direct evidence concerning the involvement of beta oscillations in reversal learning, transcranial alternating current stimulation (tACS) was applied in a double-blind, sham-controlled and between-subjects design. Exogenous oscillatory currents were administered bilaterally to the frontal cortex at 20 Hz with an intensity of 1 mA peak-to-peak and the effects on reward-punishment based reversal learning were evaluated in hundred-and-eight healthy volu
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9

Fernández, T., W. Herrera, T. Harmony, et al. "EEG and Behavioral Changes following Neurofeedback Treatment in Learning Disabled Children." Clinical Electroencephalography 34, no. 3 (2003): 145–52. http://dx.doi.org/10.1177/155005940303400308.

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Neurofeedback (NFB) is an operant conditioning procedure, by which the subject learns to control his/her EEG activity. On one hand, Learning Disabled (LD) children have higher values of theta EEG absolute and relative power than normal children, and on the other hand, it has been shown that minimum alpha absolute power is necessary for adequate performance. Ten LD children were selected with higher than normal ratios of theta to alpha absolute power (theta/alpha). The Test Of Variables of Attention (TOVA) was applied. Children were divided into two groups in order to maintain similar IQ values
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Guner, Derya, Bedile Irem Tiftikcioglu, Nilgun Tuncay, and Yasar Zorlu. "Contribution of Quantitative EEG to the Diagnosis of Early Cognitive Impairment in Patients With Idiopathic Parkinson’s Disease." Clinical EEG and Neuroscience 48, no. 5 (2016): 348–54. http://dx.doi.org/10.1177/1550059416662412.

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Cognitive dysfunction can emerge during the clinical course of Parkinson’s disease (PD) even beginning in early stages, which requires extended neuropsychological tests for diagnosis. There is need for rapid, feasible, and practical tests in clinical practice to diagnose and monitor the patients without causing any discomfort. We investigated the utility of quantitative analysis of digital EEG (qEEG) for diagnosing subtle cognitive impairment in PD patients without evident cognitive deficits (ie, “normal cognition”). We enrolled 45 patients with PD and age- matched 39 healthy controls in the s
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11

Šverko, Zoran, Ivan Markovinović, Miroslav Vrankić, and Saša Vlahinić. "EEG data processing in ADHD diagnosis and neurofeedback." Engineering review 40, no. 3 (2020): 116–23. http://dx.doi.org/10.30765/er.40.3.12.

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In this paper, EEG data processing was conducted in order to define the parameters for neurofeedback. A new survey was conducted based on a brief review of previous research. Two groups of participants were chosen: ADHD (3) and nonADHD (14). The main part of this study includes EEG signal data pre-processing and processing. We have outlined statistical features of observed EEG signals such as mean value, grand-mean value and their ratios. It can be concluded that an increase in grand-mean values of power theta-low beta ratio on Cz electrode gives confirmation of previous research. The value of
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12

Williamson, N., S. W. Armfield, and M. P. Kirkpatrick. "Transition to oscillatory flow in a differentially heated cavity with a conducting partition." Journal of Fluid Mechanics 693 (November 28, 2011): 93–114. http://dx.doi.org/10.1017/jfm.2011.471.

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AbstractNumerical evidence is presented for previously unreported flow behaviour in a two-dimensional rectangular side-heated cavity partitioned in the centre by vertical wall with an infinite conductivity. In this flow heat is transferred between both sides of the cavity through the conducting wall with natural convection boundary layers forming on all vertical surfaces. Simulations have been conducted over the range of Rayleigh numbers $\mathit{Ra}= 0. 6\text{{\ndash}} 1. 6\ensuremath{\times} 1{0}^{10} $ at Prandtl number $\mathit{Pr}= 7. 5$ and at aspect ratios of $H/ W= 1\text{{\ndash}} 2$
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13

Markiewicz, Renata, and Beata Dobrowolska. "Cognitive and Social Rehabilitation in Schizophrenia—From Neurophysiology to Neuromodulation. Pilot Study." International Journal of Environmental Research and Public Health 17, no. 11 (2020): 4034. http://dx.doi.org/10.3390/ijerph17114034.

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The aim of this pilot study was to analyse the influence of Galvanic Skin Response (GSR) Biofeedback training in a group of 18 men with schizophrenia at the remission stage. The results were verified according to: Positive and Negative Syndrome Scale (PANSS), Acceptance of Illness Scale (AIS), Self-efficacy Scale (GSES), Beck Cognitive Insight Scale (BCIS) scales, Colour Trial Test (CTT-1, CTT-2), d2 psychological tests, Quantitative Electroencephalogram (QEEG) Biofeedback, auditory event-related potentials (ERPs), and serum levels of brain-derived neurotrophic factor (BDNF). The results were
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14

Gorantla, Vasavi R., Sarah Tedesco, Merin Chandanathil, et al. "Associations of Alpha and Beta Interhemispheric EEG Coherences with Indices of Attentional Control and Academic Performance." Behavioural Neurology 2020 (February 5, 2020): 1–7. http://dx.doi.org/10.1155/2020/4672340.

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Introduction. Heretofore, research on optimizing academic performance has suffered from an inability to translate what is known about an individual’s learning behaviors to how effectively they are able to use the critical nodes and hubs in their cerebral cortex for learning. A previous study from our laboratory suggests that lower theta-beta ratios (TBRs) measured by EEG may be associated with higher academic performance in a medical school curriculum. Methods. In this study, we tested the hypothesis that TBR and academic performance may be correlated with EEG coherence, a measure of brain con
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Wu, Yunfeng, Yuchen Yao, Yugui Xiao, et al. "SEPARATION AND IDENTIFICATION OF RHYTHM COMPONENTS OF LOCAL FIELD POTENTIAL SIGNALS IN AWAKE MICE USING ENSEMBLE EMPIRICAL MODE DECOMPOSITION." Biomedical Engineering: Applications, Basis and Communications 29, no. 04 (2017): 1750029. http://dx.doi.org/10.4015/s1016237217500296.

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Decomposition of local field potential (LFP) signals with different oscillatory rhythms is useful for analysis of various neuronal activities in mice. In this paper, we first removed the power-line interference with high signal fidelity by using a notch filter with infinite impulse response. Next, we applied the ensemble empirical mode decomposition (EEMD) method to separate the LFP signal into low-frequency, Delta, Theta, Beta, Gamma, Ripple, and high-frequency oscillations, in the form of different intrinsic mode functions (IMFs). The LFP signal components with different frequency bands were
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16

Brito, Rodrigo, Adriana Baltar, Marina Berenguer-Rocha, et al. "Intrahemispheric EEG: A New Perspective for Quantitative EEG Assessment in Poststroke Individuals." Neural Plasticity 2021 (September 21, 2021): 1–8. http://dx.doi.org/10.1155/2021/5664647.

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The ratio between slower and faster frequencies of brain activity may change after stroke. However, few studies have used quantitative electroencephalography (qEEG) index of ratios between slower and faster frequencies such as the delta/alpha ratio (DAR) and the power ratio index (PRI; delta + theta / alpha + beta ) for investigating the difference between the affected and unaffected hemisphere poststroke. Here, we proposed a new perspective for analyzing DAR and PRI within each hemisphere and investigated the motor impairment-related interhemispheric frequency oscillations. Forty-seven postst
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17

Abu Nawas, Khairul Amrizal, Mahfuzah Mustafa, Rosdiyana Samad, Dwi Pebrianti, and Nor Rul Hasma Abdullah. "K-NN Classification of Brain Dominance." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 4 (2018): 2494. http://dx.doi.org/10.11591/ijece.v8i4.pp2494-2502.

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<span>The brain dominance is referred to right brain and left brain. The brain dominance can be observed with an Electroencephalogram (EEG) signal to identify different types of electrical pattern in the brain and will form the foundation of one’s personality. The objective of this project is to analyze brain dominance by using Wavelet analysis. The Wavelet analysis is done in 2-D Gabor Wavelet and the result of 2-D Gabor Wavelet is validated with an establish brain dominance questionnaire. Twenty-one samples from University Malaysia Pahang (UMP) student are required to answer the establ
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18

Tsimpanouli, M., R. D. Chervin, and S. V. Gliske. "0051 Respiratory Cycle-Related EEG Changes (RCREC) Predict Incidence and Recurrence of Cardiovascular Disease." Sleep 43, Supplement_1 (2020): A21. http://dx.doi.org/10.1093/sleep/zsaa056.050.

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Abstract Introduction Sleep-disordered breathing (SDB) is a common sleep disturbance and is associated with both incident and recurrent cardiovascular disease (CVD). Respiratory Cycle-Related EEG Changes (RCREC), an SDB biomarker, are thought to reflect inspiratory microarousals and are based on quantitative analysis of sleep EEG and breathing. The objective of this study was to assess whether RCREC may predict CVD incidence or recurrence in a large cohort of adults. The RCREC for several frequency bands have been previously shown to predict either higher or lower all-cause mortality in the sa
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19

Antoniou, Panagiotis E., George Arfaras, Niki Pandria, et al. "Biosensor Real-Time Affective Analytics in Virtual and Mixed Reality Medical Education Serious Games: Cohort Study." JMIR Serious Games 8, no. 3 (2020): e17823. http://dx.doi.org/10.2196/17823.

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Background The role of emotion is crucial to the learning process, as it is linked to motivation, interest, and attention. Affective states are expressed in the brain and in overall biological activity. Biosignals, like heart rate (HR), electrodermal activity (EDA), and electroencephalography (EEG) are physiological expressions affected by emotional state. Analyzing these biosignal recordings can point to a person’s emotional state. Contemporary medical education has progressed extensively towards diverse learning resources using virtual reality (VR) and mixed reality (MR) applications. Object
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20

Morin-Duchesne, Alexi, and Jesper Jacobsen. "Two-point boundary correlation functions of dense loop models." SciPost Physics 4, no. 6 (2018). http://dx.doi.org/10.21468/scipostphys.4.6.034.

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We investigate six types of two-point boundary correlation functions in the dense loop model. These are defined as ratios Z/Z^0Z/Z0 of partition functions on the m\times nm×n square lattice, with the boundary condition for ZZ depending on two points xx and yy. We consider: the insertion of an isolated defect (a) and a pair of defects (b) in a Dirichlet boundary condition, the transition (c) between Dirichlet and Neumann boundary conditions, and the connectivity of clusters (d), loops (e) and boundary segments (f) in a Neumann boundary condition.For the model of critical dense polymers, corresp
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Lin, Chi-Fang, Chung-Ju Huang, Yu-Jung Tsai, et al. "Resting Theta/Beta Ratios Mediate the Relationship Between Motor Competence and Inhibition in Children With Attention Deficit/Hyperactivity Disorder." Frontiers in Psychology 12 (June 3, 2021). http://dx.doi.org/10.3389/fpsyg.2021.649154.

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Despite that previous studies have supported relationships between motor ability and inhibitory function, and between resting brain theta/beta power ratios (TBR) and inhibition in children with attention deficit/hyperactivity disorder (ADHD), little research has examined the mechanism within these relationships. The purpose of this study was to investigate whether TBR would mediate the relationship between motor ability and inhibitory function. A total of 71 children with ADHD were recorded resting electroencephalographic (EEG) data during eyes-open. Motor abilities were evaluated by Movement
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22

Dastolfo-Hromack, C., A. Bush, A. Chrabaszcz, et al. "Articulatory Gain Predicts Motor Cortex and Subthalamic Nucleus Activity During Speech." Cerebral Cortex, September 1, 2021. http://dx.doi.org/10.1093/cercor/bhab251.

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Abstract Speaking precisely is important for effective verbal communication, and articulatory gain is one component of speech motor control that contributes to achieving this goal. Given that the basal ganglia have been proposed to regulate the speed and size of limb movement, that is, movement gain, we explored the basal ganglia contribution to articulatory gain, through local field potentials (LFP) recorded simultaneously from the subthalamic nucleus (STN), precentral gyrus, and postcentral gyrus. During STN deep brain stimulation implantation for Parkinson’s disease, participants read aloud
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Gagnon, Katia, Christianne Bolduc, Laurianne Bastien, and Roger Godbout. "REM Sleep EEG Activity and Clinical Correlates in Adults With Autism." Frontiers in Psychiatry 12 (June 8, 2021). http://dx.doi.org/10.3389/fpsyt.2021.659006.

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We tested the hypothesis of an atypical scalp distribution of electroencephalography (EEG) activity during Rapid Eye Movement (REM) sleep in young autistic adults. EEG spectral activity and ratios along the anteroposterior axis and across hemispheres were compared in 16 neurotypical (NT) young adults and 17 individuals with autism spectrum disorder (ASD). EEG spectral power was lower in the ASD group over the bilateral central and right parietal (beta activity) as well as bilateral occipital (beta, theta, and total activity) recording sites. The NT group displayed a significant posterior polar
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24

Ajčević, Miloš, Giovanni Furlanis, Marcello Naccarato, et al. "Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study." Medical & Biological Engineering & Computing, December 4, 2020. http://dx.doi.org/10.1007/s11517-020-02280-z.

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AbstractOwing to the large inter-subject variability, early post-stroke prognosis is challenging, and objective biomarkers that can provide further prognostic information are still needed. The relation between quantitative EEG parameters in pre-thrombolysis hyper-acute phase and outcomes has still to be investigated. Hence, possible correlations between early EEG biomarkers, measured on bedside wireless EEG, and short-term/long-term functional and morphological outcomes were investigated in thrombolysis-treated strokes. EEG with a wireless device was performed in 20 patients with hyper-acute (
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