Objective: We aimed to clarify the patterns of ictal power and phase lag among bilateral hemispheres on scalp electroencephalography (EEG) recorded pre-operatively during epileptic spasms (ESs) and the correlation with the outcomes following corpus callosotomy.Methods: We enrolled 17 patients who underwent corpus callosotomy for ESs before 20 years of age. After corpus callosotomy, seven patients did not experience further ESs (favorable outcome group), and the remaining 10 patients had ongoing ESs (unfavorable outcome group). We used pre-operative scalp EEG data from monopolar montages using the average reference. The relative power spectrum (PS), ictal power laterality (IPL) among the hemispheres, and phase lag, calculated by the cross-power spectrum (CPS) among symmetrical electrodes (i.e., F3 and F4), were analyzed in the EEG data of ESs from 143 pre-operative scalp video-EEG records. Analyses were conducted separately in each frequency band from the delta, theta, alpha, beta, and gamma range. We
Definition : Encephalographs designed for recording the variations of the electric potential caused by the electrical activity of the brain, usually detected on the scalp. These recorders consist of a main unit that includes memory (e.g., strip chart, flash card), signal processors, and a cable that is connected at the distal tip through a head box (amplifying unit) to a set of electrodes. The electrodes are typically placed on a cap or net fixed on the scalp in an array of standardized positions. Intracranial electrodes are used in very specific procedures. The electrodes and leads transmit the bioelectrical signals to a recorder which is capable of storing their characteristics for later display in an amplitude versus time graph (i.e., an electroencephalogram); some recorders can also provide a spectral analysis of the signals using a dedicated firmware. Electroencephalographs (EEGs) are used to help in the diagnosis of neurological diseases (e.g., epilepsy), to assist in localizing tumors and ...
TY - JOUR. T1 - Diagnostic usefulness of linear and nonlinear quantitative EEG analysis in Alzheimers disease. AU - Stam, C J. AU - Jelles, B. AU - Achtereekte, H A. AU - van Birgelen, J H. AU - Slaets, J P. PY - 1996/4. Y1 - 1996/4. N2 - The sensitivity of the EEG in early AD is somewhat limited. In this respect spectral analysis is little better than visual assessment. In this study we address the question whether a new type of EEG analysis derived from chaos theory can improve the sensitivity of the EEG. EEGs were recorded in 15 control subjects and 15 patients with mild AD. The EEG recorded at 02 and 01 during eyes closed and eyes open conditions was subjected to spectral analysis (relative power) and nonlinear analysis (calculation of the correlation dimension D2). AD patients had more relative theta power and impaired reactivity in alpha, delta and theta bands. Also, reactivity of the D2 was impaired in AD subjects. For a specificity of 100%, relative theta power had the highest ...
TY - JOUR. T1 - Resting frontal EEG asymmetry in children. T2 - Meta-analyses of the effects of psychosocial risk factors and associations with internalizing and externalizing behavior. AU - Peltola, Mikko J.. AU - Bakermans-Kranenburg, Marian J.. AU - Alink, Lenneke R.A.. AU - Huffmeijer, Renske. AU - Biro, Szilvia. AU - van Ijzendoorn, Marinus H.. PY - 2014/1/1. Y1 - 2014/1/1. N2 - Asymmetry of frontal cortical electroencephalogram (EEG) activity in children is influenced by the social environment and considered a marker of vulnerability to emotional and behavioral problems. To determine the reliability of these associations, we used meta-analysis to test whether variation in resting frontal EEG asymmetry is consistently associated with (a) having experienced psychosocial risk (e.g., parental depression or maltreatment) and (b) internalizing and externalizing behavior outcomes in children ranging from newborns to adolescents. Three meta-analyses including 38 studies (N=2,523) and 50 pertinent ...
Objective: To examine how the introduction of amplitude-integrated electroencephalography (aEEG) to our neonatal intensive care unit (NICU) influenced clinical practice. Methods: This was a retrospective study examining clinical practice three years
TY - JOUR. T1 - Modeling of intracerebral interictal epileptic discharges. T2 - Evidence for network interactions. AU - Meesters, Stephan. AU - Ossenblok, Pauly. AU - Colon, Albert. AU - Wagner, Louis. AU - Schijns, Olaf. AU - Boon, Paul. AU - Florack, Luc. AU - Fuster, Andrea. PY - 2018/6/1. Y1 - 2018/6/1. KW - Stereo-electroencephalography. KW - Analysis framework. KW - Interictal epileptic discharges. KW - Spatiotemporal network interaction. KW - Epilepsy surgery. KW - TEMPORAL-LOBE EPILEPSY. KW - INDEPENDENT COMPONENT ANALYSIS. KW - EPILEPTOGENIC NETWORKS. KW - SOURCE LOCALIZATION. KW - BLIND SEPARATION. KW - CLUSTER-ANALYSIS. KW - BRAIN NETWORKS. KW - EEG. KW - SIGNALS. KW - SEEG. U2 - 10.1016/j.clinph.2018.03.021. DO - 10.1016/j.clinph.2018.03.021. M3 - Article. VL - 129. SP - 1276. EP - 1290. JO - Clinical Neurophysiology. JF - Clinical Neurophysiology. SN - 1388-2457. IS - 6. ER - ...
To investigate using quantitative EEG the (1) differences between patients with mild cognitive impairment with Lewy bodies (MCI-LB) and MCI with Alzheimers disease (MCI-AD) and (2) its utility as a potential biomarker for early differential diagnosis. We analyzed eyes-closed, resting-state, high-density EEG data from highly phenotyped participants (39 MCI-LB, 36 MCI-AD, and 31 healthy controls). EEG measures included spectral power in different frequency bands (delta, theta, pre-alpha, alpha, and beta), theta/alpha ratio, dominant frequency, and dominant frequency variability. Receiver operating characteristic (ROC) analyses were performed to assess diagnostic accuracy. There was a shift in power from beta and alpha frequency bands towards slower frequencies in the pre-alpha and theta range in MCI-LB compared to healthy controls. Additionally, the dominant frequency was slower in MCI-LB compared to controls. We found significantly increased pre-alpha power, decreased beta power, and slower dominant
Learn more about quantitative electroencephalography (QEEG), also known as brainmapping and neuroimaging provided by Dr. Christopher Fisher.
TY - JOUR. T1 - Does muscle tension reflect arousal? Relationship between electromyographic and electroencephalographic recordings. AU - Hoehn-Saric, Rudolf. AU - Hazlett, Richard L.. AU - Pourmotabbed, Tahere. AU - McLeod, Daniel R.. PY - 1997/5/16. Y1 - 1997/5/16. N2 - Increased muscle tension and heightened arousal are the most consistent finding in patients with anxiety disorders. This study examined the relationship between frontalis and gastrocnemius electromyographic (EMG) and electroencephalographic activity on 14 female generalized anxiety disorder patients and 14 female control subjects. In GAD patients, gastrocnemius but not frontalis EMG was correlated with right but not left hemisphere activity. For the non-anxious subjects, there was a pattern for both β1 and β2 waves to be positively associated with both frontalis and gastrocnemius muscle tension levels. The results, while preliminary, suggest that EMG activity may reflect central nervous system arousal.. AB - Increased muscle ...
Spontaneous fluctuations of ongoing brain activity can be observed across a wide range of states, from sleep and even sedation, anesthesia, and coma over resting wakefulness all the way to effortful mental activity (Fox and Raichle, 2007). The fluctuations are spatially organized into ICNs. Their spatial patterns remain qualitatively robust across the different states but show fine-grained quantitative changes of connectivity (Horovitz et al., 2009; Vanhaudenhuyse et al., 2010). EEG has a longstanding tradition in monitoring and actually defining different brain states but it has also recently been shown to reflect activity fluctuations occurring within a given state as resting wakefulness. Activity in different ICNs, as recorded for instance in resting state fMRI studies, has been tied to power in different EEG frequency bands or even patterns of power across the EEG spectrum (Mantini et al., 2007). Here, we have pursued a hypothesis derived from previous work and focused on slow activity ...
article{1266159, author = {van Mierlo, Pieter and Carrette, Evelien and Hallez, Hans and Vonck, Kristl and Van Roost, Dirk and Boon, Paul and Staelens, Steven}, issn = {1053-8119}, journal = {NEUROIMAGE}, keyword = {DEEP BRAIN-STIMULATION,DIRECTED TRANSFER-FUNCTION,VAGUS NERVE-STIMULATION,TEMPORAL-LOBE EPILEPSY,INFORMATION-FLOW,REFRACTORY EPILEPSY,GRANGER CAUSALITY,FMRI DATA,SPECTRAL-ANALYSIS,EEG ACTIVITY,Functional connectivity pattern,Intracranial electroencephalography,Epilepsy,Time-variant multivariate autoregressive modeling,Adaptive directed transfer function}, language = {eng}, number = {3}, pages = {1122--1133}, title = {Accurate epileptogenic focus localization through time-variant functional connectivity analysis of intracranial electroencephalographic signals}, url = {http://dx.doi.org/10.1016/j.neuroimage.2011.02.009}, volume = {56}, year = {2011 ...
Objective: To observe and evaluate the efficacy of valproate on electroencephalography and obesity in children with epilepsy. Methods: 109 children w..
In this work, we propose a symmetrical multimodal EEG/fMRI information fusion approach dedicated to the identification of event-related bioelectric and hemodynamic responses. Unlike existing, asymmetrical EEG/fMRI data fusion algorithms, we build a joint EEG/fMRI generative model that explicitly accounts for local coupling/uncoupling of bioelectric and hemodynamic activities, which are supposed to share a common substrate. Under a dedicated assumption of spatio-temporal separability, the spatial profile of the common EEG/fMRI sources is introduced as an unknown hierarchical prior on both markers of cerebral activity. Thereby, a devoted Variational Bayesian (VB) learning scheme is derived to infer common EEG/fMRI sources from a joint EEG/fMRI dataset. This yields an estimate of the common spatial profile, which is built as a trade-off between information extracted from EEG and fMRI datasets. Furthermore, the spatial structure of the EEG/fMRI coupling/uncoupling is learned exclusively from the data. The
Where there is doubt about a diagnosis of epilepsy, or where the type of seizures someone experiences is unclear, video-telemetry can be helpful. This is a test that uses a video camera linked to an EEG machine. The camera will visually record your movements and, at the same time, the EEG machine will record your brainwave pattern. Both the video and EEG are stored on to a computer so that they can be reviewed once the test is finished. The doctor will be able to see any seizures that you may have had, as well as any changes in your EEG at that time. The test is often carried out over a number of days in order to increase the chances of recording one of your seizures.. ...
Differences in the neural systems underlying visual search processes for young (n=17, mean age 19.6+/-1.9) and older (n=22, mean age 68.5+/-6) subjects were investigated combining the Event-Related Potential (ERP) technique with standardized Low-Resolution brain Electromagnetic Tomography (sLORETA) analyses. Behavioral results showed an increase in mean reaction times (RTs) and a reduction in hit rates with age. The ERPs were significantly different between young and older subjects at the P3 component, showing longer latencies and lower amplitudes in older subjects. These ERP results suggest an age-related decline in the intensity and speed of visual processing during visual search that imply a reduction in attentional resources with normal aging. The sLORETA data revealed a significantly reduced neural differentiation in older subjects, who recruited bilateral prefrontal regions in a nonselective manner for the different search arrays. Finally, sLORETA between-group comparisons revealed that relative
Over the next 15 min, during preparation and draping of the patient, the PSA value gradually decreased to 17, and the isoflurane was discontinued. Despite this adjustment, his electroencephalography value remained essentially unchanged. During this time, there were no significant changes in heart rate or blood pressure, and the patient remained normothermic. An arterial blood sample was drawn, the analysis of which revealed a blood glucose concentration of 40 mg/dl, an arterial oxygen tension of 171 mmHg, and an arterial carbon dioxide tension of 32 mmHg. Intravenous dextrose, 12.5 g, was given rapidly. Approximately 2 to 3 min later, his PSA value increased to 48, and his blood glucose concentration was 235 mg/dl. The isoflurane was restarted at 0.2%, while the surgeons continued to prepare and drape the patient. Several minutes prior to incision, the isoflurane was titrated up to 1.9%. The patient tolerated the incision, and the isoflurane was gradually decreased. The patient remained stable ...
a 5 year period Patients with complete 6 and 12 month follow up data were included Analysis was also done across various subgroups including gender age at implantation seizure type abnormal MRI findings pre implantation number of medications at baseline history of SE and duration of epilepsy Results complete follow up data were available for 69 patients Median seizure reduction for these patients was 50 Q1 0 Q3 73 at 6 months and 40 Q1 25 Q3 75 at 12 months When stratified by baseline seizure frequency there was a significant reduction from baseline of 61 at 6 months and 69 at 12 months for patients in the high baseline frequency group There were no significant reductions at month 6 or 12 months for the lower baseline frequency group Adverse events were reported in 40 6 28 out of 69 patients Six patients had the VNS removed for reasons including lack of efficacy and side effects and were excluded from the study group http www ncbi nlm nih gov pubmed 24438620 Comments of reviewer Prof Van ...
A multi-channel instrumentation system is provided wherein signals from selected electrode pairs are sequentially connected to the isolated input of a common signal amplifying path. The electrode pair selecting means is included in a portable head box which may be placed adjacent to the patient to be tested. Included in the head box are facilities for testing the impedance of any selected one of the patient electrodes and providing a visual indication of the magnitude of such impedance. The head box also includes facilities for selecting a group of patient electrodes which are connected together and used as an average or reference potential for one input of the common signal path. Facilities are also provided for calibrating the common signal path by applying a d.c. calibration signal to the input thereof by means isolated from system ground. An improved circuit arrangement is provided for limiting the current which can be drawn from the patient ground electrode to a small value to provide for the
Symptoms of schizophrenia (SCZ) are likely to be generated by genetically mediated synaptic dysfunction, which contribute to large-scale functional neural dysconnectivity. Recent electrophysiological studies suggest that this dysconnectivity is present not only at a spatial level but also at a temporal level, operationalized as long-range temporal correlations (LRTCs). Previous research suggests that alpha and beta frequency bands have weaker temporal stability in people with SCZ. This study sought to replicate these findings with high-density electroencephalography (EEG), enabling a spatially more accurate analysis of LRTC differences, and to test associations with characteristic SCZ symptoms and cognitive deficits. A 128-channel EEG was used to record eyes-open resting state brain activity of 23 people with SCZ and 24 matched healthy controls (HCs). LRTCs were derived for alpha (8-12 Hz) and beta (13-25 Hz) frequency bands. As an exploratory analysis, LRTC was source projected using sLoreta. People
By taking such measures that in the brain wave measurement by a wearable device capable of an acoustic output and in a brain wave interface or in a brain wave monitor, noise derived from an output acoustic signal is estimated and removed from the voltage level obtained at an electrode, brain waves can be used without being affected by the noise. A brain wave measuring device comprises: a brain wave measuring unit for measuring the brain waves of the user by using a plurality of electrodes; an electroacoustic converter disposed in the vicinity of at least one electrode among the plurality of electrodes when the user wears the brain wave measuring unit and presenting an acoustic signal to the user; an amplitude envelope extraction unit for extracting the amplitude envelope of the acoustic signal presented from the electroacoustic converter; a frequency analysis unit for analyzing the frequency of the amplitude envelope extracted by the amplitude envelope extraction unit; and a noise estimation unit
Coppola G, Ambrosini A, Di Clemente L, Magis D, Fumal A, Gérard P, Pierelli F & Schoenen J. Interictal abnormalities of gamma band activity in visual evoked responses in migraine: an indication of thalamocortical dysrhythmia? Cephalalgia 2007; 27:1360-1367. London. ISSN 0333-1024. Between attacks, migraineurs lack habituation in standard visual evoked potentials (VEPs). Visual stimuli also evoke high-frequency oscillations in the gamma band range (GBOs, 20-35 Hz) assumed to be generated both at subcortical (early GBOs) and cortical levels (late GBOs). The consecutive peaks of GBOs were analysed regarding amplitude and habituation in six successive blocks of 100 averaged pattern reversal (PR)-VEPs in healthy volunteers and interictally in migraine with (MA) or without aura patients. Amplitude of the two early GBO components in the first PR-VEP block was significantly increased in MA patients. There was a significant habituation deficit of the late GBO peaks in migraineurs. The increased ...
Changes in conscious level have been associated with changes in dynamical integration and segregation among distributed brain regions. Recent theoretical developments emphasize changes in directed functional (i.e., causal) connectivity as reflected in quantities such as integrated information and causal density. Here we develop and illustrate a rigorous methodology for assessing causal connectivity from electroencephalographic (EEG) signals using Granger causality (GC). Our method addresses the challenges of non-stationarity and bias by dividing data into short segments and applying permutation analysis. We apply the method to EEG data obtained from subjects undergoing propofol-induced anaesthesia, with signals source-localized to the anterior and posterior cingulate cortices. We found significant increases in bidirectional GC in most subjects during loss-of-consciousness, especially in the beta and gamma frequency ranges. Corroborating a previous analysis we also found increases in synchrony in
Gratuit Science of brain wave technology for intellectual ... Neurofeedback is a form of training that monitors your brain waves and trains you to control them. Providers claim it makes you smarter and more creative. Brain Wave 32 Advanced Binaural Brainwave Entrainment ... Read reviews, compare customer ratings, see screenshots, and learn more about Brain Wave 32 Advanced Binaural Brainwave Entrainment Programs with ... Electroencephalography Wikipedia Electroencephalography (EEG) is an electrophysiological monitoring method to record electrical activity of the brain. It is typically noninvasive, with the electrodes ... Brain Waves Binaural Beats Android Apps on Google Play With this app you can easily generate pure waves that will stimulate your concentration, meditation or relaxation. Very Important Use headphones for a ... Alpha Brain Waves Boost Creativity and Reduce Depression ... Neuroscientists recently made a correlation between an increase of alpha brain waveseither through electrical ...
Anatomical functionality is a major topic in brain research. Numerous investigations have shown task dependent activation of focal brain areas, with most information based on time-averaged data due to methodological limitations. Ultra-fast quantitative EEG, especially in the newly developed combination with eye tracking (EnkephaloVision), is very suitable to follow activities of local electric circuits. This investigation in 57 subjects revealed transient focal frequency changes reaching up to more than 6000% of global median spectra power during cognitive and emotional challenges at frontal electrode positions. Recording epochs of 364 ms uncovered coherences with respect to focal brain areas and single frequencies, which are typically lost during averaged calculations. When averaging data over a whole scene, a least demanding challenge like viewing a boring animal video only activated the lateral frontal lobe, whereas solving brain-teasers and performance of mathematical calculations led to delta
Inclusion Criteria:. AD Cohort:. Subjects between 60 and 90 years old meeting NINCDS-ADRDA criteria for probable AD2 and DSM-IV criteria for dementia of the Alzheimers type3 will be recruited in the AD cohort (MMSE ≥21, ≤26).. Memory complaint by subject and/or study partner SRP-1418 N Page: 8 of 26. Abnormal memory function score on Logical Memory II subscale (Delayed Paragraph Recall) from the Wechsler Memory Scale - Revised (adjusted for education. Maximum score is 25):. i. , 10 for 16 or more years of education ii. , 6 for 8-15 years of education iii. , 4 for 0-7 years of education Clinical Dementia Rating (CDR) = 0.5, 1.0 or 2.0 Modified Hachinski Ischemic Scale (HIS) ≤ 4 Geriatric Depression Scale (GDS) , 6 For subjects that decide to provide a CSF sample: Platelet count ≥ 100,000/μL, Prothrombin Time (PT) = 11 to 16 seconds, International Normalized Ratio = 0.8 to 1.2 Study partner or caregiver to accompany subject to all scheduled visits Fluent in English Adequate visual acuity ...
Inclusion Criteria:. AD Cohort:. Subjects between 60 and 90 years old meeting NINCDS-ADRDA criteria for probable AD2 and DSM-IV criteria for dementia of the Alzheimers type3 will be recruited in the AD cohort (MMSE ≥21, ≤26).. Memory complaint by subject and/or study partner SRP-1418 N Page: 8 of 26. Abnormal memory function score on Logical Memory II subscale (Delayed Paragraph Recall) from the Wechsler Memory Scale - Revised (adjusted for education. Maximum score is 25):. i. , 10 for 16 or more years of education ii. , 6 for 8-15 years of education iii. , 4 for 0-7 years of education Clinical Dementia Rating (CDR) = 0.5, 1.0 or 2.0 Modified Hachinski Ischemic Scale (HIS) ≤ 4 Geriatric Depression Scale (GDS) , 6 For subjects that decide to provide a CSF sample: Platelet count ≥ 100,000/μL, Prothrombin Time (PT) = 11 to 16 seconds, International Normalized Ratio = 0.8 to 1.2 Study partner or caregiver to accompany subject to all scheduled visits Fluent in English Adequate visual acuity ...
Objective The significant impact of stroke on health care results in an unmet need for efficient stroke care in resources limited environments. Practical, inexpensive and easy to obtain predictive EEG parameters have been suggested in anterior circulation syndromes. We investigated whether EEG parameters are of additional predictive value with regard to lesion volume and short-term functional outcome in lacunar (LACS) and posterior circulation (POCS) syndromes of presumed ischemic origin. Methods Sixty (60) patients presenting with LACS or POCS were incrementally included. EEG parameters were correlated with volume of ischemia and functional status. Predictive values for definite stroke and unfavourable outcome were calculated using receiver operating characteristic (ROC) curves and logistic regression modelling. Results The pairwise derived brain symmetry index (pdBSI) emerged as independent predictor for definite stroke in patients presenting with LACS and POCS (odds ratio (OR) 2.69, 95% ...
You really can get on the same wavelength as someone else: In a new study, the brain waves of high school students synced up when they were highly engaged during a biology class.. On 11 days over the course of one semester, researchers hooked up all 12 of the students in a biology class to portable devices called electroencephalograms (EEGs) that measured their brain waves. The more synced up a students brain waves were with the brain waves of the rest of the students in the class, the more likely that person was to say that he or she enjoyed the class that day, according to the study, published today (April 27) in the journal Current Biology. For example, when the researchers analyzed brain waves called alpha waves, they found that students waves were more likely to rise and fall at the same time as other students waves when they were highly engaged in the class.. Likewise, when a students brain waves were less synced with those of the rest of the class, the student was less likely to say ...
The seventh part of this book deals with possible neurophysiological mechanisms involved in motor synergies. It starts with a discussion of the structure-function controversy in neurophysiology. Then, it presents reviews of the literature on the role in synergy formation of different structures within the central nervous system such as the spinal cord, the cerebellum, the basal ganglia, and the cortex of the large hemispheres. The review covers animal studies, studies of patients with different neurological disorders, and studies of healthy persons. Studies using transcranial magnetic stimulation are reviewed with respect to the equilibrium-point hypothesis of movement control. Relations between neuronal population vectors and performance variables are discussed. There is one more Digression in this part addressing the issue of localization of functions within brain structures.
Creutzfeldt, O. D. (1979) Neurophysiological Mechanisms and Consciousness, in Ciba Foundation Symposium 69 - Brain and Mind (eds G. E. W. Wolstenholme and M. OConnor), John Wiley & Sons, Ltd., Chichester, UK. doi: 10.1002/9780470720523.ch12 ...
QEEG is a comprehensive diagnostic tool to measure brain activity for ADHD and a range of treatment areas, available in Melbourne.
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AbstractPROLONGED multichannel electroencephalographic (EEG) recordings are required for the evaluation of an epilepsy surgery candidate in order to define precisely the epileptogenic areas, the patients suitability for surgical treatment, and the extent of a proposed resection. An adequate sample of ictal and interictal EEG abnormalities must be obtained to make these important clinical decisions. The minimal monitoring period required to obtain the sample varies from patient to patient, but should be as short as possible.Minimizing the time away from home is especially important when recording from pediatric patients. Children do not understand the importance of the diagnostic test, may be less patient in a restricted and boring setting, and are more likely to interfere with the apparatus. Nevertheless, a positive diagnosis and definite classification are more important at this stage of life than at any other. In patients of any age requiring intensive inpatient EEG monitoring, a computer system can
The leading reference on electroencephalography since 1982, Niedermeyers Electroencephalography is now in its thoroughly updated sixth edition.
Normal frequencies of the human brain associated states are shown below. These frequencies can be picked up by an EEG (Electroencephalogram) from the surface of the brain, after their amplification, as they are in the range of micro-volts. A mixture of these frequencies is present at any given time. Quantitative Electroencephalography (QEEG) is an extension of the analysis of the visual EEG interpretation which may assist and even augment our understanding of the EEG and brain function. QEEG is a procedure that processes the recorded EEG activity from a multi-electrode recording using a computer and converts it into a brain map showing different brain waves ...
The optimal performance of an action depends to a great extend on the ability of a person to prepare in advance the appropriate kinetic and kinematic parameters at a specific point in time in order to meet the demands of a given situation and to foresee its consequences to the surrounding environment. In the research presented in this thesis, I employed high-density electroencephalography in order to study the neural processes underlying preparation for action. A typical way for studying preparation for action in neuroscience is to divide it in temporal preparation (when to respond) and event preparation (what response to make). In Chapter 2, we identified electrophysiological signs of implicit temporal preparation in a task where such preparation was not essential for the performance of the task. Electrophysiological traces of implicit timing were found in lateral premotor, parietal as well as occipital cortices. In Chapter 3, explicit temporal preparation was assessed by comparing anticipatory ...
Young adult (N = 96) university students who varied in their binge drinking history were assessed by electroencephalography (EEG) recording during passive viewing. Groups consisted of male and female non-binge drinkers (|1 to 5/4 drinks/ounces in under two hours), low-binge drinkers (5/4-7/6 drinks/ounces in under two hours), and high-binge drinkers (≥ 10 drinks/ounces in under two hours), who had been drinking alcohol at their respective levels for an average of 3 years. The non- and low-binge drinkers exhibited less spectral power than the high-binge drinkers in the delta (0-4 Hz) and fast-beta (20-35 Hz) bands. Binge drinking appears to be associated with a specific pattern of brain electrical activity in young adults that may reflect the future development of alcoholism.
1)From neurophysiology to neuroimaging: In neurophysiology, neural oscillation is usually well recorded as local field potentials (LFPs). It represents the summation of postsynaptic potentials occurring in the cortical layers. From clinical point of view, clinical EEG in the 20th century used to record rather limited range of frequency activity from delta to gamma activity but did not exceed down to < 1Hz or up to > 100Hz. With much higher sampling rate of > 1K or 2K Hz in the digital EEG equipment, high frequency activity such as ripple or fast ripple activity are well recorded not only by microelectrodes (Le Van Quyen et al, 2008) but also by macroelectrode such as subdural or depth electrode in humans. It could represent the synchronous action potential firing of a group of principal cells (Jefferys et al, 2012). By opening low frequency filter of AC amplifier down to 10 sec, it could also record very slow shifts or baseline shifts. By means of functional MRI (fMRI) in human brain function, ...
Author(s): Rabinoff, M; Kitchen, CMR; Cook, IA; Leuchter, AF | Abstract: The study objective was to evaluate the usefulness of Classification and Regression Trees (CART), to classify clinical responders to antidepressant and placebo treatment, utilizing symptom severity and quantitative EEG (QEEG) data. Patients included 51 adults with unipolar depression who completed treatment trials using either fluoxetine, venlafaxine or placebo. Hamilton Depression Rating Scale (HAM-D) and single electrodes data were recorded at baseline, 2, 7, 14, 28 and 56 days. Patients were classified as medication and placebo responders or non-responders. CART analysis of HAM-D scores showed that patients with HAM-D scores lower than 13 by day 7 were more likely to be treatment responders to fluoxetine or venlafaxine compared to non-responders (p=0.001). Youdens index γ revealed that CART models using QEEG measures were more accurate than HAM-D-based models. For patients given fluoxetine, patients with a decrease at day 2 in
The signal averaging approach typically used in ERP research assumes that peaks in ERP waveforms reflect neural activity that is uncorrelated with activity in the ongoing EEG. However, this assumption has been challenged by research suggesting that ERP peaks reflect event-related synchronization of ongoing EEG oscillations. In this study, we investigated the validity of a set of methods that have been used to demonstrate that particular ERP peaks result from synchronized EEG oscillations. We simulated epochs of EEG data by superimposing phasic peaks on noise characterized by the power spectrum of the EEG. When applied to the simulated data, the methods in question produced results that have previously been interpreted as evidence of synchronized oscillations, even though no such synchrony was present. These findings suggest that proposed analysis methods may not effectively disambiguate competing views of ERP generation.
Besides the benefit of combining electroencephalography (EEG) and magnetic resonance imaging (MRI), much effort has been spent to develop algorithms aimed at successfully cleaning the EEG data from MRI-related gradient and ballistocardiological artifacts. However, there are also studies showing a negative influence of the EEG on MRI data quality. Therefore, in the present study, we focused for the first time on the influence of the EEG on morphometric measurements of T1-weighted MRI data (voxel- and surfaced-based morphometry). Here, we demonstrate a strong influence of the EEG on cortical thickness, surface area, and volume as well as subcortical volumes due to local EEG-related inhomogeneities of the static magnetic (B0) and the gradient field (B1). In a second step, we analyzed the signal-to-noise ratios for both the anatomical and the functional data when recorded simultaneously with EEG and MRI and compared them to the ratios of the MRI data without simultaneous EEG measurements. These ...
In this work we consider hidden signs (biomarkers) in ongoing EEG activity expressing epileptic tendency, for otherwise normal brain operation. More specifically, this study considers children with controlled epilepsy where only a few seizures without complications were noted before starting medication and who showed no clinical or electrophysiological signs of brain dysfunction. We compare EEG recordings from controlled epileptic children with age-matched control children under two different operations, an eyes closed rest condition and a mathematical task. The aim of this study is to develop reliable techniques for the extraction of biomarkers from EEG that indicate the presence of minor neurophysiological signs in cases where no clinical or significant EEG abnormalities are observed. We compare two different approaches for localizing activity differences and retrieving relevant information for classifying the two groups. The first approach focuses on power spectrum analysis whereas the second
Brain waves, or the EEG, are electrical signals that can be recorded from the brain, either directly or through the scalp. The kind of brain wave recorded depends on the behavior of the animal, and is the visible evidence of the kind of neuronal (brain cell) processing necessary for that behavior.. We are working on fast brain waves, at about 40 cycles per second (Hz), which are known as gamma band. Gamma rhythms appear to be involved in higher mental activity, including perception and consciousness. It seems to be associated with consciousness, eg it disappears with general anesthesia.. Synchronous activity at about 40Hz appears to be involved in binding sensory inputs into the single, unitary object we perceive. This process is so efficient, we are hardly aware that it goes on at all. Recordings of neurons in visual cortex show that synchronization at about 40 Hz links parts of the cortex excited by the same object, and not those excited by different objects, implicating in gamma rhythms in ...
TY - JOUR. T1 - Employing neuronal networks to investigate the pathophysiological basis of abnormal cortical oscillations in Alzheimers disease.. AU - Abuhassan, Kamal. AU - Coyle, DH. AU - Maguire, LP. PY - 2011. Y1 - 2011. N2 - This paper describes an investigation into the pathophysiological causes of abnormal cortical oscillations in Alzheimers disease (AD) using two heterogeneous neuronal network models. The effect of excitatory circuit disruption on the beta band power (13-30 Hz) using a conductance-based network model of 200 neurons is assessed. Then, the neural correlates of abnormal cortical oscillations in different frequency bands based on a larger network model of 1000 neurons consisting of different types of cortical neurons is also analyzed. The results show that, despite the heterogeneity of the network models, the beta band power is significantly affected by excitatory neural and synaptic loss. Secondly, the results of modeling a functional impairment in the excitatory circuit ...
A number of recent studies have hypothesized that monitoring in speech production may occur via domain-general mechanisms responsible for the detection of response conflict. Outside of language, two ERP components have consistently been elicited in conflict-inducing tasks (e.g., the flanker task): the stimulus-locked N2 on correct trials, and the response-locked error-related negativity (ERN). The present investigation used these electrophysiological markers to test whether a common response conflict monitor is responsible for monitoring in speech and non-speech tasks. Electroencephalography (EEG) was recorded while participants performed a tongue twister (TT) task and a manual version of the flanker task. In the TT task, people rapidly read sequences of four nonwords arranged in TT and non-TT patterns three times. In the flanker task, people responded with a left/right button press to a center-facing arrow, and conflict was manipulated by the congruency of the flanking arrows. Behavioral ...
A number of recent studies have hypothesized that monitoring in speech production may occur via domain-general mechanisms responsible for the detection of response conflict. Outside of language, two ERP components have consistently been elicited in conflict-inducing tasks (e.g., the flanker task): the stimulus-locked N2 on correct trials, and the response-locked error-related negativity (ERN). The present investigation used these electrophysiological markers to test whether a common response conflict monitor is responsible for monitoring in speech and non-speech tasks. Electroencephalography (EEG) was recorded while participants performed a tongue twister (TT) task and a manual version of the flanker task. In the TT task, people rapidly read sequences of four nonwords arranged in TT and non-TT patterns three times. In the flanker task, people responded with a left/right button press to a center-facing arrow, and conflict was manipulated by the congruency of the flanking arrows. Behavioral ...
What is the purpose of the test?. An electroencephalogram (EEG) is a test used to find problems related to electrical activity of the brain. An EEG tracks and records brain wave patterns. Small metal discs with thin wires (electrodes) are placed on the scalp, and then send signals to a computer to record the results.. What is the test about?. Electroencephalography (EEG) is a neurophysiology test which analyses the electrical activity generated by the brain. Special sensors (metal disc electrodes) are attached onto the head and hooked by wires to a computer. Common reasons for referral include:. Seizures. Encephalopathies (disease of the brain). EEG can also be performed as part of the investigations of some patients with syncope. Syncope, also known as fainting in medical terms, is defined as a transient loss of consciousness and postural tone, characterised by rapid onset, short duration and spontaneous recovery due to low blood flow to the brain usually because of low blood pressure. ...
Monitoring of spontaneous brain electrical activity (EEG) has three purposes: Detecting sudden loss of background activity as an early sign of brain hypoxia/ischaemia, detection of silent seizures, and helping to diagnose brain damage. Tape-recording allows storage of upto 8 channels of standard EEG …
This course provides an overview for the indications and methodology of cEEG (Continuous Electroencephalography) monitoring in the ICU, and discusses the role of some quantitative EEG (Electroencephalography) analysis techniques. Clinical examples of cEEG use, including monitoring of status epileptics, assessment of ongoing therapy for treatment of seizures in critically ill patients, and monitoring for cerebral ischemia, are presented and discussed.. ...
EEG electrode is a medical device that is used for recording the electrical activity of the brain. Technavios EEG electrodes market analysis considers sales from the adoption of disposable EEG electrodes and reusable EEG electrodes. Our analysis also considers the sales of EEG electrodes in Asia, Europe, North America, and ROW. In 2018, the disposable EEG electrodes segment had a significant market share, and this trend is expected to continue over the forecast period. The benefits of using disposable EEG electrodes including improved safety profile and reduced prices will play a significant role in the disposable EEG electrodes segment to maintain its market position. Also, our global EEG electrodes market report looks at factors such as the increasing prevalence of neurological disorders, rising demand for EEG procedures, and increasing initiatives and support from governments and healthcare organizations. However, high cost of EEG devices and procedures, shortage of skilled professionals, ...
The mechanism of tinnitus suppression after cochlear implantation (CI) in single-sided deafness (SSD) is not fully understood. In this regard, by comparing pre-and post-CI quantitative electroencephalography (qEEG), we explored cortical changes relevant to tinnitus improvement. In SSD patients who underwent CI, qEEG data were collected: (1) before CI, (2) 6 months post-operatively with CI-on, and (3) 30 min after CI-off and source-localized cortical activity/functional connectivity analyses were performed. Compared to the pre-operative baseline, the CI-on condition demonstrated significantly decreased activity in the right auditory-and orbitofrontal cortices (OFC) for the delta frequency band as well as decreased connectivity between the auditory cortex/posterior cingulate cortex for the delta/beta2 bands. Meanwhile, compared to the CI-off condition, the CI-on condition displayed decreased activity in the right auditory cortices/OFC for the delta band, and in bilateral auditory cortices, left ...
TY - JOUR. T1 - Alteration of frontal EEG asymmetry during tryptophan depletion predicts future depression. AU - Allen, John J.B.. AU - McKnight, Katherine M.. AU - Moreno, Francisco A.. AU - Demaree, Heath A.. AU - Delgado, Pedro L.. PY - 2009/5/1. Y1 - 2009/5/1. N2 - Background: Tryptophan depletion (TD) reduces brain serotonin and may induce acute depressive symptomatology, especially among those with a history of Major Depression. Depressive response to TD among euthymic patients with a history of depression also predicts future depression. Better prediction might result by assessing a putative endophenotype for depressive risk, frontal electroencephalographic (EEG) asymmetry, in the context of TD. Method: Nine euthymic history-positive participants and nine controls were administered TD. Symptomatic and EEG frontal asymmetry data were collected for 6 h following TD, and clinical status was followed for the next 12 months. Results: The magnitude of TD-induced change in frontal EEG asymmetry ...
in Archives Italiennes de Biologie (2012), 150(2-3), 122-39. Electroencephalographic activity in the context of disorders of consciousness is a swiss knife like tool that can evaluate different aspects of cognitive residual function, detect consciousness and ... [more ▼]. Electroencephalographic activity in the context of disorders of consciousness is a swiss knife like tool that can evaluate different aspects of cognitive residual function, detect consciousness and provide a mean to communicate with the outside world without using muscular channels. Standard recordings in the neurological department offer a first global view of the electrogenesis of a patient and can spot abnormal epileptiform activity and therefore guide treatment. Although visual patterns have a prognosis value, they are not sufficient to provide a diagnosis between vegetative state/unresponsive wakefulness syndrome (VS/UWS) and minimally conscious state (MCS) patients. Quantitative electroencephalography (qEEG) processes ...
This book is designed to meet the need for a practically oriented textbook on the rapidly growing field of continuous EEG (cEEG) monitoring. A wide range of key clinical aspects are addressed, with explanation of status epilepticus classification, criteria for institution of monitoring, seizure patterns and their recognition, quantitative EEG analysis, and neuroimaging in patients undergoing cEEG monitoring. The value of cEEG and the nature of cEEG findings in various special situations are then reviewed, covering particular pathologies, critical care considerations, and prognostication. Treatments of nonconvulsive status epilepticus (NCSE) and nonconvulsive seizures (NCS) are discussed. The concluding section is devoted to important administrative issues including billing, staffing issues, comparison of EEG machines, and information technology (IT) issues ...
The anti-anxiety effects of L-theanine are mediated through different mechanisms including enhanced alpha brain wave activity, increased synthesis of GABA, and its role as a weak antagonist of AMPA glutamate receptors. General calming benefits of l-theanine are reflected in increased brain electrical activity in the alpha frequency range (8 to 13 Hz). Changes in brain electrical activity measured by electroencephalography (EEG) are dose-dependent, and are similar to beneficial EEG changes observed in meditation, including increased alpha waves in the occipital and parietal regions. Increased alpha activity has been shown to continue for 60 minutes following administration of a 200mg dose of l-theanine, and this effect was more marked in individuals with higher trait anxiety. Finally, ingestion of green tea with high l-theanine content has been found to decrease adrenal hypertrophy in mice exposed to chronic stress. Individuals who drink green tea for stress or anxiety may experience greater ...
TY - JOUR. T1 - Sleep spindles in human prefrontal cortex. T2 - An electrocorticographic study. AU - Nakamura, Motoaki. AU - Uchida, Sunao. AU - Maehara, Taketoshi. AU - Kawai, Kensuke. AU - Hirai, Nobuhide. AU - Nakabayashi, Tetsuo. AU - Arakaki, Hiroshi. AU - Okubo, Yoshiro. AU - Nishikawa, Toru. AU - Shimizu, Hiroyuki. PY - 2003/4/1. Y1 - 2003/4/1. N2 - To investigate the sleep spindle activity of the human prefrontal cortex (PFC), we simultaneously recorded whole nights of polysomnographic and electrocorticographic (ECoG) activities during the natural sleep of epileptic patients. Subjects were nine patients with intractable epilepsy who had subdural electrodes surgically attached to the orbital (seven cases), medial (three cases), or dorsolateral (two cases) PFC, and in one case to the frontal pole. To examine spindle frequencies, fast Fourier transformation (FFT) and auto-correlation analyses were performed on the PFC ECoG and Cz EEG data, primarily on epochs of stage 2 sleep. Lower sigma ...
臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。. To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of NTU Repository with Academic Hub to form NTU Scholars.. ...
Author(s): Weiss, Shennan A; Orosz, Iren; Salamon, Noriko; Moy, Stephanie; Wei, Linqing; Vant Klooster, Maryse A; Knight, Robert T; Harper, Ronald M; Bragin, Anatol; Fried, Itzhak; Engel, Jerome; Staba, Richard J | Abstract: Ripples (80-150 Hz) recorded from clinical macroelectrodes have been shown to be an accurate biomarker of epileptogenic brain tissue. We investigated coupling between epileptiform spike phase and ripple amplitude to better understand the mechanisms that generate this type of pathologic ripple (pRipple) event.We quantified phase amplitude coupling (PAC) between epileptiform electroencephalography (EEG) spike phase and ripple amplitude recorded from intracranial depth macroelectrodes during episodes of sleep in 12 patients with mesial temporal lobe epilepsy. PAC was determined by (1) a phasor transform that corresponds to the strength and rate of ripples coupled with spikes, and a (2) ripple-triggered average to measure the strength, morphology, and spectral frequency of the
Brain computer interfaces (BCIs) provide a non-muscular avenue for the user to communicatewith others and to control external devices. Over the last two decades BCIs have been developed to assist the severely motor-disabled people, such as traumatic braininjury, stroke, or amyotrophic lateral sclerosis. Electroencephalography (EEG) is one of the most popular noninvasive BCI approaches. The inputs to EEG-based BCIs are event-related potentials (ERPs), which are neural signatures representing the responses to an external stimulus. Traditional BCI systems, which have had some success, make inferences based on trial-averaged ERPs, where each trial consists of one stimulus. In this thesis, (1) we develop a single-trial, EEG-based BCI to increase the throughput of visual image search and (2) we unveil a neural correlate of human visual perception that occurs in rapid visual-recognition tasks. Our first task is to develop a BCI. Our BCI makes inferences from single-trial ERPs; hence, it is more efficient than
TY - JOUR. T1 - MODIFICAZIONI EEG IN CORSO DI TRATTAMENTO CON VALPROATO SODICO IN PAZIENTI CON EPILESSIA GENERALIZZATA IDIOPATICA. AU - Maschio, M. C E. AU - Spanedda, F.. AU - Gigli, G. L.. AU - Marciani, M. G.. PY - 1993. Y1 - 1993. N2 - We studied in a population of 16 patients with idiopathic generalized epilepsy, the effects of sodium valproate on EEG background activity, on ictal and interictal epileptiform abnormalities and on seizures occurrence. Our data demonstrated that VPA is a drug which seems to not modify the EEG background activity and not to alter the mental processes. In additional, although it reduced the seizures frequency, does not influence the level of IEA.. AB - We studied in a population of 16 patients with idiopathic generalized epilepsy, the effects of sodium valproate on EEG background activity, on ictal and interictal epileptiform abnormalities and on seizures occurrence. Our data demonstrated that VPA is a drug which seems to not modify the EEG background activity ...
All experiments were conducted between 9 and 19 h. The experimental design of this study is illustrated in figure 1A. On the day of the experiment, anesthesia was initially induced in a chamber using 4-5% isoflurane (vaporizer setting) in 100% oxygen (2 l/min). After loss of the righting reflex (LORR) and evaluation of changes in respiratory rate, the animals were exposed to 1, 1.4, or 2.1% isoflurane (with 100% oxygen, flow rate 1 l/min) via a facemask connected to a scavenging system. The isoflurane vaporizer was used throughout the study, and stability of output over time was verified by an infrared gas analyzer. The 1%, 1.4%, and 2.1% isoflurane were considered to be the minimum alveolar concentration values of 0.7, 1.0, and 1.5, respectively, in rats.22 Body temperature was determined rectally and maintained at 37.0-37.5°C with a heating lamp. In Experiment 1, a 30-gauge injection cannula was introduced through the guide cannula into the NBM after a 30-min equilibration period with 1.4% ...
The physiopathological mechanism underlying the tinnitus phenomenon is still the subject of an ongoing debate. Since oscillatory EEG activity is increasingly recognized as a fundamental hallmark of cortical integrative functions, this study investigates deviations from the norm of different resting EEG parameters in patients suffering from chronic tinnitus. Spectral parameters of resting EEG of male tinnitus patients (n = 8, mean age 54 years) were compared to those of age-matched healthy males (n = 15, mean age 58.8 years). On average, the patient group exhibited higher spectral power over the frequency range of 2-100 Hz. Using LORETA source analysis, the generators of delta, theta, alpha and beta power increases were localized dominantly to left auditory (Brodmann Areas (BA) 41,42, 22), temporo-parietal, insular posterior, cingulate anterior and parahippocampal cortical areas. Tinnitus patients show a deviation from the norm of different resting EEG parameters, characterized by an overproduction of
Title:Interference with processed electroencephalographic recording by facial nerve stimulation.,Author:Artru A A,Chadwick H S,Colley P S,Momii S,Journal:Anesthesiology,1983/12;59(6):595-6.,Publicatio...
Epilepsy is a neurological disorder affecting almost 1 % of humans on earth [1, 2]. This disease is characterized by repetitive seizures, shown by loss of muscle control, mental or conscious deficiency etc. Epileptic seizures are generally caused by brusque and ephemeral electrical discharges of synchronous association of brain cells [3]. Electroencephalography (EEG) defined as the recording of electrical brain activities by means of a set of electrodes directly placed on the scalp, can easily exhibit these electrical discharges. Hence it becomes evident that neurologists and other practioners would rely on the EEG recordings to explore possible epileptic seizures [3-7]. However, visual scanning of EEG records is a subjective process and would result in many different misinterpretations; it is considered as time consuming as records could persist for hours or even several days. Thus, computational methods would be necessary to realize automatic detection and classification of epileptic patterns ...
PURPOSE: Generalized paroxysmal fast activity (GPFA) is a diffuse, paroxysmal, frontal predominant activity described in patients with generalized epilepsies. Studies specifically focusing on electroclinical features of typical absence seizures in children have not reported any GPFA-like features. We sought to identify GPFA in children with typical absence seizures, study its incidence, characteristic electroclinical features, and effect on their epilepsy. METHODS: We performed a retrospective review of electroencephalograms of children with diagnosis of absence epilepsy. A total of 173 subjects were identified. In subjects with GPFA on their electroencephalograms, GPFA characteristics were collected (i.e., predominant location, duration, amplitude, frequency, provocation factors, and if GPFA was followed by spike-wave discharges). In GPFA-positive subjects, further data sets were collected examining their demographics, duration of epilepsy, and pharmacoresponsiveness to epilepsy. RESULTS: Generalized
Elia et al. described the clinical and electroencephalographic features of three boys with CDKL5 mutations. [1] They concluded that, similarly to girls with this mutation, epilepsy appears to be polymorphous, with myoclonic, tonic, and partial seizures or spasms and that interictal EEG pattern is characterized by focal, multifocal, diffuse pseudoperiodic epileptiform activity. Elia considered these clinical and electroencephalographic observations similar to other findings. [2-3] However, the EEG pattern reported by Elia et al. was actually first described by us. [4] We described the seizures of three CDKL5 patients as starting as complex partial seizures or tonic spasms and then becoming complex partial, tonic, and unexpectedly, myoclonic seizures of such prominence to justify the definition of myoclonic encephalopathy. In this stage, the EEG showed an intercritical pattern with pseudoperiodic, diffuse sharp waves or pseudoperiodic, diffuse spike and polyspike and wave discharges and ...
Headline: Bitcoin & Blockchain Searches Exceed Trump! Blockchain Stocks Are Next!. Electroencephalography Equipment Market analysis is provided for global market including development trends by regions, competitive analysis of the Electroencephalography Equipment market. EEG, the bodys own brain generated by the weak creatures in the scalp at the collection, and enlarge the record and get the curve graph. The electroencephalogram measures voltage fluctuations from ion currents in neurons in the brain and is used to aid in the diagnosis of brain-related diseases.. Browse more detail information about Electroencephalography Equipment market report at: http://www.absolutereports.com/global-electroencephalography-equipment-market-by-manufacturers-regions-type-and-application-forecast-to-2021-10515577 Market Segment by Manufacturers, this report covers. ...
A comparative study of application of different non-conventional filters on electroencephalogram., Gauri Shanker Gupta, Maanvi Bhatnagar, Shikhar Kumar, Rakesh Kumar Sinha
Main reference: A Delorme & S Makeig. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics, Journal of Neuroscience Methods 134:9-21 (2004) Theory: S Makeig, Bell AJ, Jung T-P, Sejnowski TJ. Independent component analysis of electroencephalographic data In: D. Touretzky, M. Mozer and M. Hasselmo (Eds). Advances in Neural Information Processing Systems 8:145-151 (1996) S Makeig, S Debener, J Onton, & A Delorme. Mining event-related brain dynamics, Trends in Cognitive Sciences, 8(5):204-210 (2004) Delorme A, Palmer J, Onton J, Oostenveld R, S Makeig, Independent EEG sources are dipolar PLoS One, i7(2):e30135. doi:10.1371/journalpone.0030135 (2012) S Makeig, C Kothe, T Mullen, N Bigdely-Shamlo, Z Zhang, K Kreutz-Delgado, Evolving signal processing for brain-computer interfaces (0.7 MB pdf) Proceedings of the IEEE 100:1567-1584 (2012) Toolboxes: Zeynep Akalin Acar & Scott Makeig, Neuroelectromagnetic Forward Head Modeling Toolbox J Neurosci Meth doi:10.1016/jneumeth.2010.04.031 ...
Research & Production Ltd. DX-SYSTEMS proposes: Electroencephalograph system BRAINTEST for investigation of brain electrical activity with digital video monitoring and investigation of evoked potentials features. Electromiograph M-TEST for examination of neuromuscular system by means of muscle and peripheral nerves potentials registration. Cardiograph, doppler, encephalograph, miograph, rheograph, Aberdeen - Aberdeen - Medical equipment, supplies, Aberdeen - 1676239
Research & Production Ltd. DX-SYSTEMS proposes: Electroencephalograph system BRAINTEST for investigation of brain electrical activity with digital video monitoring and investigation of evoked potentials features. Electromiograph M-TEST for examination of neuromuscular system by means of muscle and peripheral nerves potentials registration. Cardiograph, doppler, encephalograph, miograph, rheograph, Carlow - Carlow - Medical equipment, supplies, Carlow - 1676125
Research & Production Ltd. DX-SYSTEMS proposes: Electroencephalograph system BRAINTEST for investigation of brain electrical activity with digital video monitoring and investigation of evoked potentials features. Electromiograph M-TEST for examination of neuromuscular system by means of muscle and peripheral nerves potentials registration. Cardiograph, doppler, encephalograph, miograph, rheograph, Wexford - Wexford - Medical equipment, supplies, Wexford - 1676161
TY - JOUR. T1 - Decoding kinetic features of hand motor preparation from single-trial EEG using convolutional neural networks. AU - Gatti, Ramiro. AU - Atum, Yanina. AU - Schiaffino, Luciano. AU - Jochumsen, Mads. AU - Biurrun Manresa, José. PY - 2020/8/11. Y1 - 2020/8/11. KW - brain computer interface. KW - deep learning. KW - movement prediction. KW - multi-class classification. KW - neural engineering. UR - http://www.scopus.com/inward/record.url?scp=85089987615&partnerID=8YFLogxK. U2 - 10.1111/ejn.14936. DO - 10.1111/ejn.14936. M3 - Journal article. JO - European Journal of Neuroscience. JF - European Journal of Neuroscience. SN - 0953-816X. ER - ...
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Sales, means the sales volume of Electroencephalography Amplifiers Revenue, means the sales value of Electroencephalography Amplifiers This report studies sales (consumption) of Electroencephalography Amplifiers in Europe market, especially in Germany, France, UK, Russia, Italy, Spain and Benelux, focuses on top players in these countries, with sales, price, revenue and market share for each play
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Humans, and other animals, are able to easily learn the durations of events and the temporal relationships among them in spite of the absence of a dedicated sensory organ for time. This chapter summarizes the investigation of timing and time perception using scalp-recorded electroencephalography (EE …
This is the first of a series on digital electroencephalography. The present discussion deals with:. 1. Changing electrode montages for display after recording is completed (so-called remontaging). (To read about the principles of forming electrode derivations and montages visit Holliday and Williams, VNN, 1999.). 2. Changing frequency limits after recording is completed.. 1. Changing Electrode Montages After Recording (remontaging).. Veterinary EEG recording typically is performed under certain limitations. Because of the cost of equipment, most veterinary laboratories have had polygraphs with only 6 or 8 EEG channels. By comparison, thirty-two channels are now used in routine recordings from human patients and even more in some specialized studies. In addition to monetary limits, there is an inherent limit on the number of electrodes that can be placed on the head of most veterinary patients, whose calvaria are often smaller even than those of children.. If a larger number of EEG channels ...
Neuronal oscillations exist across a broad frequency spectrum, and are thought to provide a mechanism of interaction between spatially separated brain regions. Since ongoing mental activity necessitates the simultaneous formation of multiple networks, it seems likely that the brain employs interactions within multiple frequency bands, as well as cross-frequency coupling, to support such networks. Here, we propose a multi-layer network framework that elucidates this pan-spectral picture of network interactions. Our network consists of multiple layers (frequency-band specific networks) that influence each other via inter-layer (cross-frequency) coupling. Applying this model to MEG resting-state data and using envelope correlations as connectivity metric, we demonstrate strong dependency between within layer structure and inter-layer coupling, indicating that networks obtained in different frequency bands do not act as independent entities. More specifically, our results suggest that frequency band
Table 3 presents results on the clinical and neuropsychological assessment of the subjects over time. 54% of OXC treatment group remained seizure free and 23% showed an average monthly reduction in seizure frequency of more than 50% during the first 6 month as did 50% and 19% of the non-treatment group. Statistically there was no significant difference between the two groups. The sleep EEGs became normalized in 15% of the treatment group and 19% of the non-treatment group after six months of treatment. As for the spike index, it increased by 20-50% in the treatment group after 6 months of treatment and fell by 20-90% in the non-treatment group over the same time period (p,0.05). Furthermore, the spike index of the right hemisphere decreased more in the non-treatment group than in the treatment group; however this different was not statistically significant (7.2±16.2 to 3.8±7.9 in NT vs. 15.5±17.6 to 19.1± 18.4 in T). The subjects made slight progress in general intelligence measures over ...
Electroencephalography (EEG) records fast-changing neuronal signalling and communication and thus can offer a deep understanding of cognitive processes. However, traditional data analyses which employ the Fast-Fourier Transform (FFT) have been of limited use as they do not allow time- and frequency-resolved tracking of brain activity and detection of directional connectivity. Here, we applied advanced qEEG tools using autoregressive (AR) modelling, alongside traditional approaches, to murine data sets from common research scenarios: (a) the effect of age on resting EEG; (b) drug actions on non-rapid eye movement (NREM) sleep EEG (pharmaco-EEG); and (c) dynamic EEG profiles during correct vs incorrect spontaneous alternation responses in the Y-maze ...
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What are Brainwaves , Brainwaves are the tiny pulses of the electrical activity alpha, Delta, Theta, Beta & Gamma brain waves. The brainwaves of SWS are of quite preponderant delta waves (1-4 Hz) and .. Miranda ER, Brouse A. Interfacing the brain directly with musical systems: on. During concentration, EEG delta (1- Hz) activity increases mainly in .. () also observed high amplitude Hz theta waves in both frontal .. K. R., John E. R., Brodie J., Günther W., Daruwala R., Prichep L. S. (). Delta waves can arise either in the thalamus or in the cortex. When associated with the thalamus, they are. an Alpha state of mind? Find out why alpha brain waves are so beneficial & learn to experience them yourself. And er thats it. Alpha brainwaves Theres some Theta stuff here too, but for now check out the Alpha waves. This is nice. Specifically, stimulation of the septohippocampal circuit in the theta frequency Unlike the spindle waves, delta oscillations are generated in a single cell M. T., ...
INTRODUCTION: Early identification of delayed cerebral ischemia (DCI) in patients with aneurysmal subarachnoid hemorrhage (aSAH) is a major challenge. The aim of this study was to investigate whether quantitative EEG (qEEG) features can detect DCI prior to clinical or radiographic findings. METHODS: A prospective cohort study was performed in aSAH patients in whom continuous EEG (cEEG) was recorded. We studied 12 qEEG features. We compared the time point at which qEEG changed with the time point that clinical deterioration occurred or new ischemia was noted on CT scan. Results : Twenty aSAH patients were included of whom 11 developed DCI. The alpha/delta ratio (ADR) was the most promising feature that showed a significant difference in change over time in the DCI group (median -62 % with IQR -87 to -39 %) compared to the control group (median +27 % with IQR -32 to +104 %, p = 0.013). Based on the ROC curve, a threshold was chosen for a combined measure of ADR and alpha variability (AUC: 91.7, 95 ...
Diagnosing Epilepsy. How is epilepsy diagnosed? There is no diagnostic test for a seizure or for epilepsy. The doctors diagnosis is based on a thorough investigation of a first seizure (including any witness observations), a physical examination, family history, and supportive tests such as the EEG, CT Scan, and MRI.. The description of what happens during during the seizure, along with any changes that happen before or after the seizure, are important features used by a healthcare providor to determine the seizure category and the seizure type. The duration of the seizure is another important feature.. What is an EEG?. The electroencephalograph or EEG directly measures electrical activity in the brain-brain waves-through the skin. In this harmless test, small sensors called electrodes are attached to the patients scalp. The electrical activity picked up by each sensor is graphed onto an EEG printout.. Tests are done on people with epilepsy commonly show uneven activity or large changes in the ...
This paper describes a technique based on electroencephalography (EEG) to control a robot arm. This technology could eventually allow people with severe disabilities to control robots that can help them in daily living activities. The EEG-based Brain Computer Interface (BCI) developed consists in register the brain rhythmic activity through a electrodes situated on the scalp in order to differentiate one cognitive process from rest state and use it to control one degree of freedom of the robot arm. In the paper the processing and classifier algorithm are described and an analysis of their parameters has been made with the objective of find the optimum configuration that allow obtaining the best results ...
It has been suggested recently that the influence of the neuro-magnetic field should make electrical brain activity directly detectable by MRI. To test this hypothesis, we performed combined EEG-MRI experiments which aim to localize the neuronal current sources of alpha waves (8-12 Hz), one of the most prominent EEG phenomena in humans. A detailed analysis of cross-spectral coherence between simultaneously recorded EEG and MRI time series revealed no sign of alpha waves. Instead the EEG-MRI approach was found to be hampered by artefacts due to cardiac pulsation, which extend into the frequency band of alpha waves. Separate brain displacement mapping experiments confirmed that not only the EEG but also the MRI signal is confounded by harmonics of the cardiac frequency even at 10 Hz and beyond. This well-known ballistocardiogram artefact cannot be avoided or eliminated entirely by available signal processing techniques. Therefore we must conclude that current EEG-MRI methodology based on ...
Event-related potentials (ERPs) have been used for decades to study perception, cognition, emotion, neurological and psychiatric disorders, and lifespan development. ERPs consist of multiple components and reflect a specific neurocognitive process.
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Sleep-related vehicle accidents account for many injuries and fatalities each year on monotonous motorways and roads. To effectively prevent such incidents requires greater knowledge of the mechanisms and development of the effects of sleep deprivation. Ten volunteers participated in a laboratory study aimed to analyze the way changes in wakefulness were described in terms of EEG changes and subjective ratings. Patients and methods For each subject, the study consisted of four testing sessions that varied in length on different days: one session each of 60, 90, and 120 min when sleep-deprived, and one session of 120 min when rested. Changes in wakefulness were analyzed using electroencephalographic recordings and ratings on two different scales, the Karolinska Sleepiness Scale (KSS) and the Category-Ratio Scale (CR-10). Results The results indicate quite conclusively that significant changes in the perception of sleepiness occur during the first 60-90 min of sedentary, monotonous work. Beyond ...
To quantify the relationship between SC and cortical oscillations by an additional coupling measure that takes phase into account, we computed the cross-frequency phase-amplitude coupling between SC and μECoG recording sites (see fig. S7). This measure quantifies the strength with which the amplitude of SC LFP oscillations is modulated by the phase of μECoG signals across all possible frequency-frequency combinations. Figure 7B displays population-averaged cross-frequency phase-amplitude spectrograms for SC-μECoG channel pairs that display significant (left) and insignificant (middle) high-frequency amplitude correlation, respectively. Cross-frequency coupling for correlated SC-μECoG channel pairs was characterized by the strong modulation of SC activity above 8 Hz by the phase of slow cortical oscillations. In contrast, uncorrelated SC-μECoG channel pairs displayed comparatively weak cross-frequency coupling (Fig. 7B, middle). The difference in cross-frequency spectra between significantly ...
Results There were 45 adult patients who had a recent or an ongoing epileptic seizure in the study group and 15 patients with no neurological disorders in the control group. The median percentage of time during which no artefacts were detected by the device was 88.0% in the study group and 96.0% in the control group. EEG recordings for 3 out of 45 (6.6%) patients were of poor quality and not evaluable. Spike/wave or polyspike patterns were found in 98% and 100% of patients in the study and control groups, respectively, whereas the occurrence of periodic epileptiform discharges and delta waves with spikes showed a sensitivity and specificity of 100% (10/10) for the presence of an ongoing epileptic seizure. ...
The human brain, nerve center of command system, receives stimulus from the sense organs and sends these signals out to the muscles. There are many kinds of techniques about watching answer the brain for inputs coming from the sense organs. Functional magnetic resonance imaging, electrocorticography, magnetoencephalography and electroencephalography (EEG) techniques are frequently used to measure these signals, but EEG is the most widely used all of these techniques. Advantages such as easy acquisition, painless and low cost make EEG preferable. In this work, EEG signals recorded during smelling of rosewater and lotus flower odors were analyzed and classified. The features calculated and classified are skewness, kurtosis and second order derivation of variance of EEG signals. The EEG signals recorded in Swiss Federal Institute of Technology are from 5 healthy subjects in two different conditions; eyes open and eyes closed. The data are classified by k-nearest neighbor algorithm and the mean of ...