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Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to measure the magnetic fields produced by the electrical activity of neurons in the brain. MEG provides high temporal resolution, allowing researchers to precisely measure the timing of neural activity with millisecond accuracy.
During a MEG session, the subject's head is placed inside a helmet-shaped device containing superconducting sensors that detect the tiny magnetic fields generated by neuronal currents. By analyzing these magnetic signals, researchers can map the spatial and temporal dynamics of brain activity associated with various cognitive processes, such as perception, attention, memory, and language.
MEG is particularly useful for studying fast brain responses, such as those involved in sensory processing and rapid decision-making. It is also valuable for localizing the sources of abnormal brain activity in patients with epilepsy or other neurological disorders.
While MEG offers excellent temporal resolution, its spatial resolution is lower compared to techniques like functional magnetic resonance imaging (fMRI). However, combining MEG with other neuroimaging methods allows researchers to obtain complementary information about brain function and structure. Overall, MEG provides valuable insights into the dynamic functioning of the human brain and its role in cognition and behavior.