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The EEG is altered by drugs that affect brain functions, the chemicals that are the basis for psychopharmacology. Berger's early experiments recorded the effects of drugs on EEG. The science of pharmaco-electroencephalography has developed methods to identify substances that systematically alter brain functions for therapeutic and recreational use.
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.
With the discovery of the electroencephalogram (EEG) in 1924, Hans Berger revealed that one could measure the electrical activity of the human brain by placing electrodes on the scalp and amplifying the signal. Changes in voltage can then be plotted over a period of time.
K-complexes have two proposed functions: [1] first, suppressing cortical arousal in response to stimuli that the sleeping brain evaluates not to signal danger, and second, aiding sleep-based memory consolidation. The K-complex was discovered in 1937 in the private laboratories of Alfred Lee Loomis. [2]
Electrode locations of International 10-20 system for encephalography recording. The 10–20 system or International 10–20 system is an internationally recognized method to describe and apply the location of scalp electrodes in the context of an EEG exam, polysomnograph sleep study, or voluntary lab research.
An electroencephalogram (EEG) is an electrical recording of the activity of the brain taken from the scalp. An EEG can be used to diagnose seizures, sleep disorders, and for monitoring of level of anesthesia during surgery.
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.
Brain rhythms have origins similar to the electrical activity of the heart. The rhythmic activity varies in frequency and amplitude with age, attention, sleep, and chemical concentrations of oxygen, carbon dioxide, glucose, ammonia, and hormones. Chemicals that affect brain functions change brain rhythms in systematic and identifiable ways.