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Quantitative eeg

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https://www.readbyqxmd.com/read/28206999/early-eeg-power-predicts-mri-injury-in-infants-with-hypoxic-ischemic-encephalopathy
#1
S V Jain, J M Zempel, P Srinivasakumar, M Wallendorf, A Mathur
OBJECTIVE: Early identification of infants with hypoxic-ischemic encephalopathy who have adverse outcomes despite neuroprotection with therapeutic hypothermia (TH) is urgently needed. Recent studies have found limited value of amplitude integrated EEG (aEEG) for predicting short-term outcomes in this population. Other quantitative electroencephalography (EEG) variables reflecting EEG amplitude, such as EEG power, could provide early stratification of a high-risk cohort in this population...
February 16, 2017: Journal of Perinatology: Official Journal of the California Perinatal Association
https://www.readbyqxmd.com/read/28201930/electroencephalographic-correlates-of-suicidal-ideation-in-the-theta-band
#2
Sang Min Lee, Kuk-In Jang, Jeong-Ho Chae
Previous studies have indicated that the abnormalities of brain activity are associated with suicidal behavior. However, few studies have explored neurophysiologic biomarkers of suicidal ideation (SI) in healthy subjects. Here, we studied alterations of theta quantitative EEG (QEEG) in frontal regions associated with SI in young healthy subjects. Resting QEEG data were recorded from 90 young healthy subjects. The subjects were divided into two group based on Scale for Suicidal Ideation (SSI) scores: a high SSI group (n = 33) and a low SSI group (n = 57)...
February 1, 2017: Clinical EEG and Neuroscience: Official Journal of the EEG and Clinical Neuroscience Society (ENCS)
https://www.readbyqxmd.com/read/28199912/in-patients-suffering-from-major-depressive-disorders-quantitative-eeg-showed-favorable-changes-in-left-and-right-prefrontal-cortex
#3
Mohammad Haghighi, Sebastian Ludyga, Boshra Rahimi, Leila Jahangard, Mohammad Ahmadpanah, Saadat Torabian, Farzaneh Esnaashari, Marzieh Nazaribadie, Hafez Bajoghli, Dena Sadeghi Bahmani, Edith Holsboer-Trachsler, Serge Brand
BACKGROUND: Patients suffering from major depressive disorders (MDD) report anhedonia, low concentration and lack of goal-oriented behavior. Data from imaging and quantitative EEG (QEEG) studies show an asymmetry in the prefrontal cortex (PFC), with lower left as compared to right PFC-activity, associated with specific depression-related behavior. Cordance is a QEEG measurement, which combines absolute and relative power of EEG-spectra with strong correlations with regional perfusion...
February 6, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28192765/neurophysiological-correlates-of-suicidal-ideation-in-major-depressive-disorder-hyperarousal-during-sleep
#4
Michael R Dolsen, Philip Cheng, J Todd Arnedt, Leslie Swanson, Melynda D Casement, Hyang Sook Kim, Jennifer R Goldschmied, Robert F Hoffmann, Roseanne Armitage, Patricia J Deldin
BACKGROUND: Suicide is a major public health concern, and a barrier to reducing the suicide rate is the lack of objective predictors of risk. The present study considers whether quantitative sleep electroencephalography (EEG) may be a neurobiological correlate of suicidal ideation. METHODS: Participants included 84 (45 female, mean age=26.6) adults diagnosed with major depressive disorder (MDD). The item that measures thoughts of death or suicide on the Quick Inventory of Depressive Symptomatology (QIDS) was used to classify 47 participants as low suicidal ideation (24 females, mean age=26...
January 26, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28185050/a-unified-canonical-correlation-analysis-based-framework-for-removing-gradient-artifact-in-concurrent-eeg-fmri-recording-and-motion-artifact-in-walking-recording-from-eeg-signal
#5
Junhua Li, Yu Chen, Fumihiko Taya, Julian Lim, Kianfoong Wong, Yu Sun, Anastasios Bezerianos
Artifacts cause distortion and fuzziness in electroencephalographic (EEG) signal and hamper EEG analysis, so it is necessary to remove them prior to the analysis. Particularly, artifact removal becomes a critical issue in experimental protocols with significant inherent recording noise, such as mobile EEG recordings and concurrent EEG-fMRI acquisitions. In this paper, we proposed a unified framework based on canonical correlation analysis for artifact removal. Raw signals were reorganized to construct a pair of matrices, based on which sources were sought through maximizing autocorrelation...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28185049/developing-a-novel-epileptic-discharge-localization-algorithm-for-electroencephalogram-infantile-spasms-during-hypsarrhythmia
#6
Supachan Traitruengsakul, Laurie E Seltzer, Alex R Paciorkowski, Behnaz Ghoraani
Infantile spasms (ISS) is a devastating epileptic syndrome that affects children under the age of 1 year. The diagnosis of ISS is based on the semiology of the seizure and the electroencephalogram (EEG) background characterized by hypsarrhythmia (HYPS). However, even skilled electrophysiologists may interpret the EEG of children with ISS differently, and commercial software or existing epilepsy detection algorithms are not helpful. Since EEG is a key factor in the diagnosis of ISS, misinterpretation could result in serious consequences including inappropriate treatment...
February 9, 2017: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/28180082/executive-attention-deficits-after-traumatic-brain-injury-reflect-impaired-recruitment-of-resources
#7
Sudhin A Shah, Yelena Goldin, Mary M Conte, Andrew M Goldfine, Maliheh Mohamadpour, Brian C Fidali, Keith Cicerone, Nicholas D Schiff
Deficits in attention are a common and devastating consequence of traumatic brain injury (TBI), leading to functional impairments, rehabilitation barriers, and long-term disability. While such deficits are well documented, little is known about their underlying pathophysiology hindering development of effective and targeted interventions. Here we evaluate the integrity of brain systems specific to attentional functions using quantitative assessments of electroencephalography recorded during performance of the Attention Network Test (ANT), a behavioral paradigm that separates alerting, orienting, and executive components of attention...
2017: NeuroImage: Clinical
https://www.readbyqxmd.com/read/28173758/sleep-wake-movement-velocities-trajectories-and-micro-arousals-during-maturation-in-rats
#8
Gideon Gradwohl, Nadja Olini, Reto Huber
BACKGROUND: Sleep is regulated by two main processes. The circadian process provides a 24-h rhythm and the homeostatic process reflects sleep pressure, which increases in the course of wakefulness and decreases during sleep. Both of these processes undergo major changes during development. For example, sleep homeostasis, measured by means of electroencephalogram (EEG) slow-wave activity (SWA, EEG power between 0.5 and 4.5 Hz), peaks around puberty and decreases during adolescence. In humans and rats these changes have been related to cortical maturation...
February 7, 2017: BMC Neuroscience
https://www.readbyqxmd.com/read/28167911/quantitative-eeg-qeeg-measures-differentiate-parkinson-s-disease-pd-patients-from-healthy-controls-hc
#9
Menorca Chaturvedi, Florian Hatz, Ute Gschwandtner, Jan G Bogaarts, Antonia Meyer, Peter Fuhr, Volker Roth
Objectives: To find out which Quantitative EEG (QEEG) parameters could best distinguish patients with Parkinson's disease (PD) with and without Mild Cognitive Impairment from healthy individuals and to find an optimal method for feature selection. Background: Certain QEEG parameters have been seen to be associated with dementia in Parkinson's and Alzheimer's disease. Studies have also shown some parameters to be dependent on the stage of the disease. We wanted to investigate the differences in high-resolution QEEG measures between groups of PD patients and healthy individuals, and come up with a small subset of features that could accurately distinguish between the two groups...
2017: Frontiers in Aging Neuroscience
https://www.readbyqxmd.com/read/28167121/assessing-motor-imagery-in-brain-computer-interface-training-psychological-and-neurophysiological-correlates
#10
Anatoly Vasilyev, Sofya Liburkina, Lev Yakovlev, Olga Perepelkina, Alexander Kaplan
Motor imagery (MI) is considered to be a promising cognitive tool for improving motor skills as well as for rehabilitation therapy of movement disorders. It is believed that MI training efficiency could be improved by using the brain-computer interface (BCI) technology providing real-time feedback on person's mental attempts. While BCI is indeed a convenient and motivating tool for practicing MI, it is not clear whether it could be used for predicting or measuring potential positive impact of the training. In this study, we are trying to establish whether the proficiency in BCI control is associated with any of the neurophysiological or psychological correlates of motor imagery, as well as to determine possible interrelations among them...
February 4, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28162564/-327-quantitative-eeg-markers-of-pain-facilitation-by-nocebo
#11
S Albu, H Linsenbardt, M Meagher
No abstract text is available yet for this article.
April 2016: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/28158269/predictors-of-opioid-efficacy-in-patients-with-chronic-pain-a-prospective-multicenter-observational-cohort-study
#12
Kasper Grosen, Anne E Olesen, Mikkel Gram, Torsten Jonsson, Michael Kamp-Jensen, Trine Andresen, Christian Nielsen, Gorazd Pozlep, Mogens Pfeiffer-Jensen, Bart Morlion, Asbjørn M Drewes
Opioids are increasingly used for treatment of chronic pain. However, they are only effective in a subset of patients and have multiple side effects. Thus, studies using biomarkers for response are highly warranted. The current study prospectively examined 63 opioid-naïve patients initiating opioid use for diverse types of chronic pain at five European centers. Quantitative sensory testing, electroencephalography (EEG) recordings, and assessment of pain catastrophizing were performed prior to treatment. The co-primary outcomes were change from baseline in ratings of chronic pain and quality of life after 14 days of opioid treatment...
2017: PloS One
https://www.readbyqxmd.com/read/28151826/continuous-electroencephalographic-monitoring-in-the-icu-an-overview-of-current-strengths-and-future-challenges
#13
Danny M W Hilkman, Walther N K A van Mook, Vivianne H J M van Kranen-Mastenbroek
PURPOSE OF REVIEW: In ICUs, numerous physiological parameters are continuously monitored and displayed. Yet, functional monitoring of the organ of primary concern, the brain, is not routinely performed. Despite the benefits of ICU use of continuous electroencephalographic (EEG)-monitoring (cEEG) is increasingly recognized, several issues nevertheless seem to hamper its widespread clinical implementation. RECENT FINDINGS: Utilization of ICU cEEG has significantly improved detection and characterization of cerebral pathology, prognostication and clinical management in specific patient groups...
February 1, 2017: Current Opinion in Anaesthesiology
https://www.readbyqxmd.com/read/28145657/comparison-of-qeeg-findings-between-adolescents-with-attention-deficit-hyperactivity-disorder-adhd-without-comorbidity-and-adhd-comorbid-with-internet-gaming-disorder
#14
Jeong Ha Park, Ji Sun Hong, Doug Hyun Han, Kyoung Joon Min, Young Sik Lee, Baik Seok Kee, Sun Mi Kim
Internet gaming disorder (IGD) is often comorbid with attention deficit hyperactivity disorder (ADHD). In this study, we compared the neurobiological differences between ADHD comorbid with IGD (ADHD+IGD group) and ADHD without comorbidity (ADHD-only group) by analyzing quantitative electroencephalogram (QEEG) findings. We recruited 16 male ADHD+IGD, 15 male ADHD-only adolescent patients, and 15 male healthy controls (HC group). Participants were assessed using Young's Internet Addiction Scale and ADHD Rating Scale...
March 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/28130246/severe-hypercapnia-causes-reversible-depression-of-aeeg-background-activity-in-neonates-an-observational-study
#15
Lauren C Weeke, Laura M L Dix, Floris Groenendaal, Petra M A Lemmers, Koen P Dijkman, Peter Andriessen, Linda S de Vries, Mona C Toet
INTRODUCTION: Elevated carbon dioxide (CO2) blood levels have a depressant effect on the central nervous system and can lead to coma in adults. Less is known about the effect of CO2 on the neurological function of infants. OBJECTIVE: To describe the effect of acute severe hypercapnia (PaCO2 >70 mm Hg) on amplitude-integrated electroencephalography (aEEG) and cerebral oxygenation in newborn infants. STUDY DESIGN: Observational study of full-term and preterm infants with acute severe hypercapnia (identified by arterial blood gas measurements), monitored with aEEG...
January 27, 2017: Archives of Disease in Childhood. Fetal and Neonatal Edition
https://www.readbyqxmd.com/read/28127975/heart-rate-variability-as-a-biomarker-for-epilepsy-seizure-prediction
#16
M K Moridani, H Farhadi
OBJECTIVE: Epilepsy is a neurological disorder that causes seizures of many different types. Recent research has shown that epileptic seizures can be predicted by using the electrocardiogrami instead of the electroencephalogram. In this study, we used the heart rate variability that is generated by the fluctuating balance of sympathetic and parasympathetic nervous systems to predict epileptic seizures. METHODS: We studied 11 epilepsy patients to predict the seizure interval...
2017: Bratislavské Lekárske Listy
https://www.readbyqxmd.com/read/28113670/dynamic-functional-segregation-and-integration-in-human-brain-network-during-complex-tasks
#17
Shen Ren, Junhua Li, Fumihiko Taya, Joshua deSouza, Nitish Thakor, Anastasios Bezerianos
The analysis of the topology and organisation of brain networks is known to greatly benefit from network measures in graph theory. However, to evaluate dynamic changes of brain functional connectivity, more sophisticated quantitative metrics characterising temporal evolution of brain topological features are required. To simplify conversion of time-varying brain connectivity to a static graph representation is straightforward but the procedure loses temporal information that could be critical in understanding the brain functions...
September 9, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28113195/on-quantitative-biomarkers-of-vns-therapy-using-eeg-and-ecg-signals
#18
Maryam Ravan, Shivkumar Sabesan, O'Neill D'Cruz
OBJECTIVE: The goal of this work is to objectively evaluate the effectiveness of neuromodulation therapies, specifically, Vagus nerve stimulation (VNS) in reducing the severity of seizures in patients with medically refractory epilepsy. METHODS: Using novel quantitative features obtained from combination of electroencephalographic (EEG) and electrocardiographic (ECG) signals around seizure events in 16 patients who underwent implantation of closed-loop VNS therapy system, namely AspireSR, we evaluated if automated delivery of VNS at the time of seizure onset reduces the severity of seizures by reducing EEG spatial synchronization as well as the duration and magnitude of heart rate increase...
February 2017: IEEE Transactions on Bio-medical Engineering
https://www.readbyqxmd.com/read/28110916/statistical-modeling-for-visualization-evaluation-through-data-fusion
#19
Xiaoyu Chen, Ran Jin
There is a high demand of data visualization providing insights to users in various applications. However, a consistent, online visualization evaluation method to quantify mental workload or user preference is lacking, which leads to an inefficient visualization and user interface design process. Recently, the advancement of interactive and sensing technologies makes the electroencephalogram (EEG) signals, eye movements as well as visualization logs available in user-centered evaluation. This paper proposes a data fusion model and the application procedure for quantitative and online visualization evaluation...
January 19, 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/28110410/neurophysiological-assessment-of-brain-dysfunction-in-critically-ill-patients-an-update
#20
REVIEW
Eric Azabou, Catherine Fischer, Jean Michel Guerit, Djillali Annane, François Mauguiere, Fréderic Lofaso, Tarek Sharshar
The aim of this review was to provide up-to-date information about the usefulness of clinical neurophysiology testing in the management of critically ill patients. Evoked potentials (EPs) and electroencephalogram (EEG) are non-invasive clinical neurophysiology tools that allow an objective assessment of the central nervous system's function at the bedside in intensive care unit (ICU). These tests are quite useful in diagnosing cerebral complications, and establishing the vital and functional prognosis in ICU...
January 21, 2017: Neurological Sciences
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