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EEG coherence or EEG correlation?

International Journal of Psychophysiology, 1996
In view of the widespread use of electroencephalographic correlation (r) and coherence (Coh) analyses in studying brain functional relationships, it seems important to illustrate results yielded by both methods. Although they are considered as equivalent, they show important differences.
M A, Guevara, M, Corsi-Cabrera
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Video-EEG

2019
Indications for video-EEG monitoring (VEM) include differential diagnosis of paroxysmal events including epileptic seizures, organic nonepileptic seizures, and psychogenic nonepileptic seizures; classification of seizure types and electroclinical syndromes; quantification of seizures and of interictal and ictal epileptiform discharges; and presurgical ...
Christoph, Baumgartner, Susanne, Pirker
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WS1.9. Advances in EEG Analysis – Wide-Band EEG, Dense-Array EEG and Quantitative EEG

Clinical Neurophysiology, 2021
1) Wide-band EEG As the faster frequency extreme of wide-band EEG, high frequency oscillation (HFO) was originally described by means of 1) micro-electrode recording in animal model, and ictal HFO occurred before clinical onset. Recently, 2 more types of HFO were well described; 2) invasive electrodes recording in epilepsy surgery (macro-invasive ...
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Long-term EEG in adults: Sleep-deprived EEG (SDE), ambulatory EEG (Amb-EEG) and long-term video-EEG recording (LTVER)

Neurophysiologie Clinique/Clinical Neurophysiology, 2015
Long-term EEG in adults includes three modalities: sleep deprived-EEG lasting 1 to 3 hours, 24 hours ambulatory-EEG and continuous prolonged video-EEG lasting from several hours to several days. The main indications of long-term EEG are: syndromic classification of epilepsy; search for interictal discharges when epilepsy is suspected or for the purpose
V, Michel   +3 more
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EEG frequency PCA in EEG‐ERP dynamics

Psychophysiology, 2017
AbstractPrincipal components analysis (PCA) has long been used to decompose the ERP into components, and these mathematical entities are increasingly accepted as meaningful and useful representatives of the electrophysiological components constituting the ERP.
Barry, R. J.   +1 more
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Ambulatory cassette EEG

Electroencephalography and Clinical Neurophysiology, 1985
The neurophysiologic evaluation of patients with possible or proven paroxysmal disorders is no longer limited to routine laboratory EEGs or intensive inpatient monitoring. Expanded temporal sampling of the EEG, which increases the probability of documenting, characterizing, and quantitating the electrographic manifestations of these illnesses, is now ...
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EEG

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, 2010
In this work we describe the processing and classifying of EEG-data that was acquired under emotional conditions. In the context of assistive environment technology it is one of the most important challenges to get information about a persons emotional state. To get this information, psychophysiological data was recorded while stimulating subjects with
Bart Ellenbroek   +146 more
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To EEG or not EEG

Paediatrics and Child Health, 2018
Abstract A routine or standard Electroencephalography (EEG) study is frequently requested by paediatricians to aid diagnosis of epilepsy in children presenting with episodic behaviours. EEG study in children is significantly more sensitive if it includes a period of sleep. It is a valuable investigation provided it is considered in the context of good
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EEG and intelligence: Relations between EEG coherence, EEG phase delay and power

Clinical Neurophysiology, 2005
There are two inter-related categories of EEG measurement: 1, EEG currents or power and; 2, EEG network properties such as coherence and phase delays. The purpose of this study was to compare the ability of these two different categories of EEG measurement to predict performance on the Weschler Intelligence test (WISC-R).Resting eyes closed EEG was ...
R W, Thatcher, D, North, C, Biver
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Simultaneous EEG and fMRI Recordings (EEG-fMRI)

2013
Scalp EEG is characterised by a limited spatial resolution and by a low sensitivity to generators distant from the cortical surface. In contrast, fMRI is characterised by a good spatial resolution and it is sensitive to signal of deep brain structures. By combining EEG with fMRI, it is possible to detect blood oxygenation level-dependent (BOLD) signal ...
Friederike Moeller   +2 more
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