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Electroencephalography (EEG) [1] is a method to record an electrogram of the spontaneous electrical activity of the brain. The biosignals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex . [ 2 ]
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.
EEG analysis is exploiting mathematical signal analysis methods and computer technology to extract information from electroencephalography (EEG) signals. The targets of EEG analysis are to help researchers gain a better understanding of the brain; assist physicians in diagnosis and treatment choices; and to boost brain-computer interface (BCI) technology.
Structural magnetic resonance imaging (structural MRI) of a head, from top to base of the skull. The first chapter of the history of neuroimaging traces back to the Italian neuroscientist Angelo Mosso who invented the 'human circulation balance', which could non-invasively measure the redistribution of blood during emotional and intellectual activity.
The typical meaning of an "ECG" is the 12-lead ECG that uses 10 wires or electrodes to record the signal across the chest. Interpretation of an ECG is the basis of a number of cardiac diseases including myocardial infarction (heart attack) and arrhythmias such as atrial fibrillation .
Since the MEG signal is a direct measure of neuronal activity, its temporal resolution is comparable with that of intracranial electrodes. MEG complements other brain activity measurement techniques such as electroencephalography (EEG), positron emission tomography (PET), and fMRI.
The biggest impediment to BCI technology is the lack of a sensor modality that provides safe, accurate and robust access to brain signals. The use of a better sensor expands the range of communication functions that can be provided using a BCI.
The prediction, detection and interpretation of abnormal brain electrical activity is an area wherein technological advancement is necessary in that current state-of-the-art methods for electroencephalography (EEG) are retrospective, prone to subjectivity and obviate real-time data interpretation that is often necessary to allow timely and accurate therapeutic intervention by neurologist and ...
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