vaiheeromagneettikuvauksella

Vaiheeromagneettikuvauksella, commonly translated as magnetoencephalography (MEG), is a non-invasive neuroimaging technique used to measure the magnetic fields produced by electrical activity in the brain. These magnetic fields are generated by the synchronized firing of neurons. MEG sensors, typically superconducting quantum interference devices (SQUIDs), are placed in a magnetically shielded room to detect these extremely weak magnetic signals.

The primary advantage of MEG is its excellent temporal resolution, allowing it to capture brain activity with millisecond precision. This makes it ideal for studying the dynamics of cognitive processes, such as language, memory, and attention, as well as for investigating neurological disorders like epilepsy. By analyzing the patterns of magnetic fields, researchers can map the location and timing of neural activity.

MEG data is often combined with other imaging techniques, such as magnetic resonance imaging (MRI), to provide both functional and structural information about the brain. While MEG offers high temporal resolution, its spatial resolution is generally lower than that of fMRI. Despite this, it remains a valuable tool in neuroscience research and clinical diagnostics.