Behavioral measures and EEG monitoring using the Brain Symmetry Index during the Wada test in children

Peters, Jurriaan M.; Tomas-Fernandez, M.; Putten, Michel Johannes Antonius Maria van; Loddenkemper, Tobias

doi:10.1016/j.yebeh.2011.12.017

Cited by 8 publications

(11 citation statements)

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“…Although theoretical simulation studies have been conducted in which functional analyses of asymmetric EEG recordings have been applied towards clinical assessment19202122, our report investigates in practice the feasibility of using EEG signals for functional brain mapping. As an innovative brain mapping method, it has the potential to be used at the bedside in the clinic.…”

Section: Discussionmentioning

confidence: 99%

Mapping Brain Injury with Symmetrical-channels' EEG Signal Analysis – A Pilot Study

Xian-hong

et al. 2014

Sci Rep

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A technique for detecting brain injury at the bedside has great clinical value, but conventional imaging techniques (such as computed tomography [CT] and magnetic resonance imaging) are impractical. In this study, a novel method–the symmetrical channel electroencephalogram (EEG) signal analysis–was developed for this purpose. The study population consisted of 45 traumatic brain injury patients and 10 healthy controls. EEG signals in resting and stimulus states were acquired, and approximate entropy (ApEn) and slow-wave coefficient were extracted to calculate the ratio values of ApEn and SWC for injured and uninjured areas. Statistical analyses showed that the ratio values for both ApEn and SWC between injured and uninjured brain areas differed significantly (P < 0.05) for both resting and name call stimulus states. A set of criteria (range of ratio values) to determine whether a brain area is injured or uninjured was proposed and its reliability was verified by statistical analyses and CT images.

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Section: Discussionmentioning

confidence: 99%

Mapping Brain Injury with Symmetrical-channels' EEG Signal Analysis – A Pilot Study

Xian-hong

et al. 2014

Sci Rep

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“…While the injected hemisphere is anesthetized, hopefully with minimal effects on the contralateral side, language and memory tests are conducted to predict the possible risk of amnesia and language deficit following temporal lobe resection. It is critical to determine the initiation, termination and depth of anesthetic effects in the injected hemisphere (Peters et al, 2012). The most common monitoring technique is a series of contralateral arm strength exams (Wada and Rasmussen, 1960), which defines the start and end time of a valid Wada test based on the times at which contralateral hemiplegia occurs and contralateral hemiparesis begins to recover (Buchtel et al, 2002; Kim et al, 2007; Mikati et al, 2009; Takayama et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Arm strength scoring is subjective and does not provide continuous data. Visual interpretation of online EEG slow wave activity is another common technique with the same purpose (Blume et al, 1973; Rausch et al, 1984) that provides continuous data (Peters et al, 2012). However, interpretation of EEG slowing has low inter-observer agreement, with a reported kappa score of 0.1 (Abend et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Quantitative EEG Is an Objective, Sensitive, and Reliable Indicator of Transient Anesthetic Effects During Wada Tests

Assassi

Bazil

et al. 2015

Journal of Clinical Neurophysiology

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The intracarotid amobarbital or Wada procedure is a component of the presurgical evaluation for refractory epilepsy, during which monitoring the onset and offset of transient anesthetic effects is critical. In this study, we characterized changes of 8 QEEG measures during 26 Wada tests, which included alpha, beta, theta, and delta powers, alpha/delta power ratio (ADR), beta/delta power ratio (BDR), median amplitude-integrated EEG (aEEG) and 90% spectral edge frequency (SEF90), and correlated them with contralateral hemiplegia. We found that on the side of injection, delta and theta powers, ADR, BDR, and SEF90 peaked within 1 min after injection of 70-150 mg amobarbital or 4-7 mg methohexital. When contralateral arm strength returned to 3/5, delta power and aEEG decayed on average 24% and 19%, respectively, for amobarbital, similar to that of methohexital (27% and 18%). Since delta power resolution most closely mirrored that of the hemiplegia and aEEG had the highest signal/noise ratio (SNR), these QEEG values appear to be the best measures for decay of anesthetic effects. Increase in alpha power persisted longest, and therefore may be the best measure of late residual anesthetic effects.

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“…The temporal resolution of the EEG is very good (nowadays in de milliseconds range) although the spatial resolution is bad compared to other non-invasive methods (in the cm range), which is due to volume conduction of the cerebrospinal fluid, bone and other tissues causing an electrical spread of activity over neighboring electrodes (5). Nevertheless, the EEG plays an important role in diagnostics and monitoring because of its high time resolution, low costs and general availability of recording equipment (1,(6)(7)(8). Furthermore, apart from MEG, there are no other measurement modalities that measure neuronal activity as direct as EEG.…”

Section: General Eeg Propertiesmentioning

confidence: 99%

“…Automated seizure detection is a valuable asset to health professionals, which makes early treatment possible in order to minimize brain damage. In past years, numerous neonatal seizure detection methods have been developed [7][8][9][10][11][12]. Although reported seizure detection performance is often good enough for clinical application, there is still room for improvement.…”

Section: Introductionmentioning

confidence: 99%

Quantitative EEG and machine learning methods for the detection of epileptic seizures and cerebral asymmetry

Bogaarts¹

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People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. The 10-20 system The electrical cortical activity is usually recorded at equally distributed standardized locations (international 10-20 system) on the scalp (9). The electrode locations are defined by dividing the head into 10% and 20% angular intervals using the inion and nasion as landmarks (figure 1). The first letter of the electrode refers to the brain region it is placed on, and numbers refer to the left (odd) and right (even) hemisphere. Montages Measuring an EEG signal always involves a differential signal between two electrodes. In practice EEG signals are recorded using differential Background EEG The background activity describes the general patterns that are observed in the EEG. These patterns are generally described as rhythms from a certain frequency range. In increasing order of frequency the following frequency bands are used: delta (<4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-30 Hz) and gamma (>30 Hz) (4). Each frequency band is associated with well-known properties and deviations or abnormalities are mostly related to pathologies or brain damage. Normal background properties are also related to age and circadian rhythm. For example slow activity in the delta and theta range is normal Visual inspection of the EEG Reviewing EEG recordings is a complex and time consuming task which can only be performed by experienced clinicians (4). The EEG is reviewed as multiple time series tiled horizontally, as illustrated in figure 2 and 3. Using a variety of montages, a clinical neurophysiologist looks for abnormalities in background patterns and transient phenomena. Traditionally the EEG is reviewed visually in the time domain. Conventionally, the frequency content is band-pass filtered between 0.5 and 50 Hz although physiological and pathological EEG Figure 6 Example of an SVM classifier separating two classes, red and blue, in a 2dimensional space. The solid line indicates the decision boundary, defined by the Support Vectors. Each Support Vector, indicated with circles, lie on, or within the margin which is indicat...

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Behavioral measures and EEG monitoring using the Brain Symmetry Index during the Wada test in children

Cited by 8 publications

References 20 publications

Mapping Brain Injury with Symmetrical-channels' EEG Signal Analysis – A Pilot Study

Mapping Brain Injury with Symmetrical-channels' EEG Signal Analysis – A Pilot Study

Quantitative EEG Is an Objective, Sensitive, and Reliable Indicator of Transient Anesthetic Effects During Wada Tests

Quantitative EEG and machine learning methods for the detection of epileptic seizures and cerebral asymmetry

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