Doctors can see how your brain works. 

Your brain uses tiny bits of power. 

An EEG is a way to record brain activity. 

An electroencephalogram, or EEG, is a special way to record the brain's electrical activity. 

To make a recording, doctors place small tools called electrodes on the scalp. 

Scientists have studied these brain waves for a long time. One of the first human EEG recordings was made by a man named Hans Berger. 


There are many specific numbers used to describe these brain waves. The frequency of the waves usually stays between 1 and 30 Hz. The strength, or amplitude, stays between 20 and 100 microvolts. Different waves have different names and speeds. Delta waves are very slow, between 0.5 and 4 Hz.
An EEG is a very fast tool compared to other brain scans. It can see changes that happen in just a few milliseconds. This makes it much faster than an MRI or a CT scan for seeing timing. While an MRI is great for seeing the shape of the brain, the EEG is better at seeing the timing of activity. This speed is why scientists use it to study how we think and react to things. It is even used in hospitals to monitor people in comas. This makes the EEG a vital part of modern medicine and science.
Electroencephalography, commonly known as EEG, is a method used to record the spontaneous electrical activity of the brain. 

The mechanism of EEG involves detecting voltage fluctuations using electrodes. In a standard scalp EEG, these electrodes are placed along the scalp using the International 10–20 system. The electrical activity originates in neurons within the underlying brain tissue. As these signals travel toward the surface, they must pass through intermediary tissues and bones. These biological materials act similarly to resistors and capacitors in an electrical circuit. Consequently, the recorded value is often distorted by these layers. The signal strength also varies based on the orientation and distance of the neurons to the electrodes. This means the EEG primarily reflects the activity of cortical neurons near the scalp. Deep structures like the thalamus, hippocampus, and brain stem do not contribute directly to a scalp EEG.
Researchers categorize brain activity into specific frequency groups. A healthy human EEG typically shows frequencies between 1 and 30 Hz. The amplitudes, or the strength of the signal, usually vary between 20 and 100 μV. These frequencies are subdivided into four main types of waves. Alpha waves range from 8 to 13 Hz and appear during relaxed wakefulness.
History shows that the ability to record these signals changed how we understand the mind. One of the first human EEG recordings was obtained by Hans Berger. 

In clinical settings, EEG is the gold standard for confirming epilepsy. Doctors look for abnormal discharges like sharp waves, spikes, or spike-and-wave complexes. 

Beyond epilepsy, EEG is used to monitor many different states of health. It helps diagnose sleep disorders, the depth of anesthesia, and coma. It is also used to evaluate encephalopathies and cerebral hypoxia following cardiac arrest. In intensive care units, it can monitor for non-convulsive seizures. For patients needing higher precision, surgeons may use electrocorticography (ECoG). This involves the surgical placement of electrodes under the dura mater. ECoG provides better spatial resolution and can detect high-frequency components that scalp EEGs miss. This is especially important when determining if a patient needs surgery to treat epilepsy.
Finally, EEG serves as a powerful tool in cognitive science and psychology. Scientists use derivatives of the technique, such as event-related potentials (ERPs). ERPs involve averaging EEG activity that is time-locked to a specific stimulus, like a sound or a light. This allows researchers to see how the brain processes complex information. While some research continues into areas like ADHD and concussion, the EEG remains a fundamental pillar of neuroscience. Its ability to provide a mobile and fast window into the brain's electrical life is unmatched by most other technologies.
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