The human brain is a complicated machine controlling all our body's systems

The human brain is a complicated machine controlling all our body's systems. When it’s not working correctly, we may experience various symptoms, changing the quality of life or even putting our lives in danger. EEG is a powerful tool in brain research and clinical practice. What is EEG research, and why is it crucial to understanding the brain? Is it going to continue advancing?

How EEGs work

Electroencephalography (EEG) is a non-invasive neuroimaging technique used to measure and record the brain's electrical activity. It’s an essential tool in brain research, giving us insight into brain function. It’s widely used in clinical diagnosis and cognitive assessment too.

What’s the secret behind EEG? The rule is simple, and it’s based on the fact that the brain's neurons communicate with each other through electrical signals. When electrodes are placed on the scalp, tiny electrical currents are generated. The positions of the electrodes have their specific locations on the scalp, forming an array of sensors capturing the brain’s electrical activity.

When is EEG used?

EEG is extensively used in the study of sleep and dreaming, as different stages of sleep are characterized by distinct EEG patterns. Researchers also use it to understand the brain’s response to sensory visual and auditory stimuli. We may observe a wide use of EEG in cognitive neuroscience when it’s employed to investigate attention, memory, language processing, and other cognitive functions.

EEG is essential in diagnosing and monitoring various neurological disorders, such as epilepsy, sleep disorders, and brain tumors. Detecting abnormal patterns of brain activity aids clinicians in making decisions about treatment and medication.

How is EEG advancing?

The EEG processes have become more efficient and precise, as digital EEG systems allow real-time data visualization and analysis. That means researchers get immediate insight into brain activity.

With the speedy development of AI, it’s not a surprise that the EEG tool started using the algorithms provided by Artificial Intelligence. Clinicians have access to wearable and portable EEG devices, with an EEG cap by as one of the best examples. That means more real-world scenarios and more authentic research.

Looking ahead, EEG research is expected to continue advancing. Machine learning algorithms play a crucial role in identifying subtle patterns in EEG data, which in consequence, may vastly improve diagnostic capabilities and give a chance for personalized treatment approaches.