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EEG-fMRI (short for EEG-correlated fMRI or electroencephalography-correlated functional magnetic resonance imaging) is a multimodal neuroimaging technique whereby EEG and fMRI data are recorded synchronously for the study of electrical brain activity in correlation with haemodynamic changes in brain during the electrical activity, be it normal function or associated with disorders.
The original GDF specification was introduced in 2005 as a new data format to overcome some of the limitations of the European Data Format for Biosignals (EDF). GDF was also designed to unify a number of file formats which had been designed for very specific applications (for example, in ECG research and EEG analysis). [2]
The data records contain samples as little-endian 16-bit integers. EDF is a popular format for polysomnography (PSG) recordings. EDF+ was published in 2003 and is largely compatible to EDF: all existing EDF viewers also show EDF+ signals. But EDF+ files also allow coding discontinuous recordings as well as annotations, stimuli and events in UTF ...
The EEG in childhood generally has slower frequency oscillations than the adult EEG. The normal EEG also varies depending on state. The EEG is used along with other measurements (EOG, EMG) to define sleep stages in polysomnography. Stage I sleep (equivalent to drowsiness in some systems) appears on the EEG as drop-out of the posterior basic rhythm.
EEG, metadata, imaging, annotations on data Humans and animal models of epilepsy EEG, local fields, micro-ECoG Electrophysiology Non-healthy, several healthy Yes International Neuroimaging Data-sharing Initiative (INDI) Functional connectivity data from many different groups Invertebrates (47 species in all) Macroscopic Functional connectivity
A comparison of an awake, resting (with activity), normal EEG with a hypsarrhythmia EEG. The hypsarrhythmia EEG is from a 4-month old girl with cryptogenic West syndrome. In it high amplitude waves and spikes are present, randomly appearing and with no topographical distribution identified; also, there is no frequency nor amplitude gradient ...
The analog signal comprises a microvoltage time series of the EEG, sampled digitally and sampling rates adequate to over-sample the signal (using the Nyquist principle of exceeding twice the highest frequency being detected). Modern EEG amplifiers use adequate sampling to resolve the EEG across the traditional medical band from DC to 70 or 100 ...
A paper published in 2023 showed that burst suppression and epilepsy may share the same ephaptic coupling mechanism. [6] When inhibitory control is sufficiently low, as in the case of certain general anesthetics such as sevoflurane (due to a decrease in the firing of interneurons [7]), electric fields are able to recruit neighboring cells to fire synchronously, in a burst suppression pattern.
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