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Quantitative eeg

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https://www.readbyqxmd.com/read/28340443/quantitative-eeg-abnormalities-in-major-depressive-disorder-with-basal-ganglia-stroke-with-lesions-in-different-hemispheres
#1
Chunfang Wang, Yuanyuan Chen, Ying Zhang, Jin Chen, Xiaojing Ding, Dong Ming, Jingang Du
BACKGROUND: This study aimed to examine the aberrant EEG oscillation in major depressive subjects with basal ganglia stroke with lesions in different hemispheres. METHODS: Resting EEG of 16 electrodes in 58 stroke subjects, 26 of whom had poststroke depression (13 with left-hemisphere lesion and 13 with right) and 32 of whom did not (18 with left lesion and 14 with right), was recorded to obtain spectral power analysis for several frequency bands. Multiple analysis of variance and receiver operating characteristic (ROC) curves were used to identify differences between poststroke depression (PSD) and poststroke non-depression (PSND), treating the different lesion hemispheres separately...
February 28, 2017: Journal of Affective Disorders
https://www.readbyqxmd.com/read/28339635/the-impact-of-zonisamide-on-the-development-and-course-of-alcohol-dependence-in-rabbits-a-pharmaco-eeg-study
#2
Agata Krupa-Burtnik, Ewa Zwierzynska, Anna Kordala, Boguslawa Pietrzak
Aims: Zonisamide is a new anti-epileptic drug whose mechanism of action is associated with neurotransmission systems also involved in the pathogenesis of addiction. Recently, the role of memory processes and the hippocampus (Hp) is underlined in dependence. In our previous study, we determined that zonisamide decreases changes in hippocampal bioelectric activity induced by a single dose of ethanol. Methods: This study uses a pharmaco-EEG method to examine the impact of zonisamide on the development and course of alcohol dependence in rabbits...
February 17, 2017: Alcohol and Alcoholism: International Journal of the Medical Council on Alcoholism
https://www.readbyqxmd.com/read/28326122/preliminary-study-on-quantitative-sleep-eeg-characteristics-in-patients-with-schizophrenia
#3
Seong Min Oh, Yu Jin Lee, Jong Won Kim, Jae Won Choi, Do-Un Jeong
We used quantitative electroencephalography (EEG) spectral analysis to compare activity in the bilateral frontal, central, and occipital areas in nine patients with schizophrenia and ten healthy control subjects during standard nocturnal polysomnography. Patients with schizophrenia had longer sleep latency than controls. In N2 sleep, the patients had significantly lower 0.5-1 Hz power and higher theta power in the left frontal region, and higher beta power in the left occipital region than did control subjects...
March 2017: Psychiatry Investigation
https://www.readbyqxmd.com/read/28324998/prediction-of-the-outcome-in-cardiac-arrest-patients-undergoing-hypothermia-using-eeg-wavelet-entropy
#4
Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari
Cardiac arrest (CA) is the leading cause of death in the United States. Induction of hypothermia has been found to improve the functional recovery of CA patients after resuscitation. However, there is no clear guideline for the clinicians yet to determine the prognosis of the CA when patients are treated with hypothermia. The present work aimed at the development of a prognostic marker for the CA patients undergoing hypothermia. A quantitative measure of the complexity of Electroencephalogram (EEG) signals, called wavelet sub-band entropy, was employed to predict the patients' outcomes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28323720/neuroprognostication-after-cardiac-arrest-in-the-light-of-targeted-temperature-management
#5
Mauro Oddo, Hans Friberg
PURPOSE OF REVIEW: Delayed awakening after targeted temperature management (TTM) and sedation is frequent among cardiac arrest patients. Differentiating between prolonged coma and irreversible cerebral damage can be challenging, therefore the utilization of a multimodal approach is recommended by international guidelines. Here, we discuss indications and advantages/disadvantages of available modalities for coma prognostication and describe new tools to improve our accuracy for outcome prediction...
March 20, 2017: Current Opinion in Critical Care
https://www.readbyqxmd.com/read/28282552/periictal-activity-in-cooled-asphyxiated-neonates-with-seizures
#6
Philippe Major, Anne Lortie, Mathieu Dehaes, Gregory Anton Lodygensky, Anne Gallagher, Lionel Carmant, Ala Birca
PURPOSE: Seizures are common in critically ill neonates. Both seizures and antiepileptic treatments may lead to short term complications and worsen the outcomes. Predicting the risks of seizure reoccurrence could enable individual treatment regimens and better outcomes. We aimed to identify EEG signatures of seizure reoccurrence by investigating periictal electrographic features and spectral power characteristics in hypothermic neonates with hypoxic-ischemic encephalopathy (HIE) with or without reoccurrence of seizures on rewarming...
March 2, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28281852/the-patterns-of-eeg-changes-in-early-onset-parkinson-s-disease-patients
#7
Xuetao He, Yuhu Zhang, Jieling Chen, Chunge Xie, Rong Gan, Rong Yang, Limin Wang, Kun Nie, Lijuan Wang
The aim of this study was to investigate the patterns of brain activities changes in early-onset parkinson's disease(EOPD) patients and its relationship with the severity of disease and motor deterioration. Electroencephalography (EEG) was performed in a sample of 52 nondemented EOPD patients and 20 healthy controls with similar age. All patients underwent a battery to assess PD severity and motor deterioration. The EEG data were rated by visual and quantitative analyses with the Grant total EEG(GTE) score and NicoletOne Software...
March 10, 2017: International Journal of Neuroscience
https://www.readbyqxmd.com/read/28278477/quantitative-eeg-for-predicting-upper-limb-motor-recovery-in-chronic-stroke-robot-assisted-rehabilitation
#8
Paula Trujillo, Alfonso Mastropietro, Alessandro Scano, Andrea Chiavenna, Simona Mrakic-Sposta, Marco Caimmi, Franco Molteni, Giovanna Rizzo
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this study, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery...
March 3, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28269639/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#9
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28269163/structural-and-functional-changes-during-epileptogenesis-in-the-mouse-model-of-medial-temporal-lobe-epilepsy
#10
Yvan Dietrich, Pierre-Antoine Eliat, Gabriel Dieuset, Herve Saint-Jalmes, Charles Pineau, Fabrice Wendling, Benoit Martin
An important issue in epilepsy research is to understand the structural and functional modifications leading to chronic epilepsy, characterized by spontaneous recurrent seizures, after initial brain insult. To address this issue, we recorded and analyzed electroencephalography (EEG) and quantitative magnetic resonance imaging (MRI) data during epileptogenesis in the in vivo mouse model of Medial Temporal Lobe Epilepsy (MTLE, kainate). Besides, this model of epilepsy is a particular form of drug-resistant epilepsy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268682/the-long-range-temporal-correlations-of-broadband-eeg-oscillations-in-poststroke-depression-subjects-with-basal-ganglia-infarction
#11
Chunfang Wang, Jingang Du, Ying Zhang, Peng Zhou, Dong Ming
Recent studies have found long-range temporal correlations (LRTC) of neuronal oscillation under different physiological and pathological state. In this paper we aimed to explore the temporal correlations of broadband neuronal oscillation in poststroke depression. Resting state EEGs of 16 electrodes in 16 poststroke depression (PSD), 18 poststroke non-depression (PSND) and 18 healthy control (HC) subjects were analyzed by means of detrended fluctuation analysis (DFA), a quantitative measurement of LRTC. The results indicated that LRTC of broadband oscillation in PSD subjects was still preserved and had similar spatial distribution to non-depression subjects, but attenuated especially in left hemisphere and frontal and posterior temporal regions of right hemisphere...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268490/channel-interpolation-in-tms-eeg-a-quantitative-study-towards-an-accurate-topographical-representation
#12
S Petrichella, L Vollere, F Ferreri, A Guerra, S Maatta, M Kononen, V Di Lazzaro, G Iannello
The co-registration of transcranial magnetic stimulation and electroencephalography (TMS-EEG) is emerging as a successful technique for causally exploring cortical mechanisms and connections. However, various artefacts could affect TMS-EEG signals. Correct artefacted channels reconstruction is crucial to obtain accurate topographical representation and consequently accurate inverse problem solution, in order to map in a proper way the global brain responses after the stimulation of one particular brain region of interest...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268290/graph-fractional-order-total-variation-eeg-source-reconstruction
#13
Ying Li, Jing Qin, Stanley Osher, Wentai Liu
EEG source imaging is able to reconstruct sources in the brain from scalp measurements with high temporal resolution. Due to the limited number of sensors, it is very challenging to locate the source accurately with high spatial resolution. Recently, several total variation (TV) based methods have been proposed to explore sparsity of the source spatial gradients, which is based on the assumption that the source is constant at each subregion. However, since the sources have more complex structures in practice, these methods have difficulty in recovering the current density variation and locating source peaks...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28258840/increased-prognostic-accuracy-of-tbi-when-a-brain-electrical-activity-biomarker-is-added-to-loss-of-consciousness-loc
#14
Dallas Hack, J Stephen Huff, Kenneth Curley, Roseanne Naunheim, Samanwoy Ghosh Dastidar, Leslie S Prichep
BACKGROUND: Extremely high accuracy for predicting CT+ traumatic brain injury (TBI) using a quantitative EEG (QEEG) based multivariate classification algorithm was demonstrated in an independent validation trial, in Emergency Department (ED) patients, using an easy to use handheld device. This study compares the predictive power using that algorithm (which includes LOC and amnesia), to the predictive power of LOC alone or LOC plus traumatic amnesia. PARTICIPANTS: ED patients 18-85years presenting within 72h of closed head injury, with GSC 12-15, were study candidates...
February 20, 2017: American Journal of Emergency Medicine
https://www.readbyqxmd.com/read/28255824/performance-of-epileptic-single-channel-scalp-eeg-classifications-using-single-wavelet-based-features
#15
Suparerk Janjarasjitt
Classification of epileptic scalp EEGs are certainly ones of the most crucial tasks in diagnosis of epilepsy. Rather than using multiple quantitative features, a single quantitative feature of single-channel scalp EEG is applied for classifying its corresponding state of the brain, i.e., during seizure activity or non-seizure period. The quantitative features proposed are wavelet-based features obtained from the logarithm of variance of detail and approximation coefficients of single-channel scalp EEG signals...
March 2, 2017: Australasian Physical & Engineering Sciences in Medicine
https://www.readbyqxmd.com/read/28254093/a-comparative-review-on-sleep-stage-classification-methods-in-patients-and-healthy-individuals
#16
REVIEW
Reza Boostani, Foroozan Karimzadeh, Mohammad Nami
BACKGROUND AND OBJECTIVE: Proper scoring of sleep stages can give clinical information on diagnosing patients with sleep disorders. Since traditional visual scoring of the entire sleep is highly time-consuming and dependent to experts' experience, automatic schemes based on electroencephalogram (EEG) analysis are broadly developed to solve these problems. This review presents an overview on the most suitable methods in terms of preprocessing, feature extraction, feature selection and classifier adopted to precisely discriminate the sleep stages...
March 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28251015/brain-symmetry-index-in-healthy-and-stroke-patients-for-assessment-and-prognosis
#17
Andrei Agius Anastasi, Owen Falzon, Kenneth Camilleri, Malcolm Vella, Richard Muscat
Objective. Quantitative neurophysiological signal parameters are of value in predicting motor recovery after stroke. The novel role of EEG-derived brain symmetry index for motor function prognostication in the subacute phase after stroke is explored. Methods. Ten male stroke patients and ten matched healthy controls were recruited. Motor function was first assessed clinically using the MRC score, its derivative Motricity Index, and the Fugl-Meyer assessment score. EEG was subsequently recorded first with subjects at rest and then during hand grasping motions, triggered by visual cues...
2017: Stroke Research and Treatment
https://www.readbyqxmd.com/read/28235724/eeg-synchronization-measures-are-early-outcome-predictors-in-comatose-patients-after-cardiac-arrest
#18
Frédéric Zubler, Andreas Steimer, Rebekka Kurmann, Mojtaba Bandarabadi, Jan Novy, Heidemarie Gast, Mauro Oddo, Kaspar Schindler, Andrea O Rossetti
OBJECTIVE: Outcome prognostication in comatose patients after cardiac arrest (CA) remains a major challenge. Here we investigated the prognostic value of combinations of linear and non-linear bivariate EEG synchronization measures. METHODS: 94 comatose patients with EEG within 24h after CA were included. Clinical outcome was assessed at 3months using the Cerebral Performance Categories (CPC). EEG synchronization between the left and right parasagittal, and between the frontal and parietal brain regions was assessed with 4 different quantitative measures (delta power asymmetry, cross-correlation, mutual information, and transfer entropy)...
April 2017: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://www.readbyqxmd.com/read/28227897/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#19
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Gerhard Ransmayr, Dieter Grossegger, Markus Waser, Peter Dal-Bianco, Thomas Benke, Manfred Deistler, Reinhold Schmidt, Heinrich Garn
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227392/structural-and-functional-changes-during-epileptogenesis-in-the-mouse-model-of-medial-temporal-lobe-epilepsy
#20
Yvan Dietrich, Pierre-Antoine Eliat, Gabriel Dieuset, Herve Saint-Jalmes, Charles Pineau, Fabrice Wendling, Benoit Martin, Yvan Dietrich, Pierre-Antoine Eliat, Gabriel Dieuset, Herve Saint-Jalmes, Charles Pineau, Fabrice Wendling, Benoit Martin, Pierre-Antoine Eliat, Charles Pineau, Benoit Martin, Gabriel Dieuset, Yvan Dietrich, Herve Saint-Jalmes, Fabrice Wendling
An important issue in epilepsy research is to understand the structural and functional modifications leading to chronic epilepsy, characterized by spontaneous recurrent seizures, after initial brain insult. To address this issue, we recorded and analyzed electroencephalography (EEG) and quantitative magnetic resonance imaging (MRI) data during epileptogenesis in the in vivo mouse model of Medial Temporal Lobe Epilepsy (MTLE, kainate). Besides, this model of epilepsy is a particular form of drug-resistant epilepsy...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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