Brain research via EEG (electroencephalography) is a valuable method for studying the electrical activity of the brain. It provides insights into brain function and has applications in various fields, including neuroscience, psychology, clinical diagnosis, and cognitive assessment. Do you know how it works and why it’s so important to each of us? In what directions is EEG advancing?
An overview of EEG – how does it work?
EEG works by measuring and recording the electrical signals produced by the brain’s neurons. Neurons communicate with each other through electrical impulses, generating small electrical currents, which can be detected when electrodes are placed on the scalp. The location of electrodes is strategic, as only their specific location gives the chance of capturing the electrical activity of the brain.
You may be amazed to see what a modern EEG kit looks like, as they are extremely small and even portable now. Well, if you are curious then take a look at BrainAccess.ai who are innovatively producing AI-enabled EEG devices to help researchers carry out brain research.
A wide range of EEG use
One of the basic roles of EEG is the research of brain states. Researchers are able to investigate different brain states, such as wakefulness, sleep, and anaesthesia.
Next, it’s also a really important role that EEG plays in studying various cognitive processes. The tool can check attention, perception, memory, language processing, and decision-making, analysing the neural mechanisms underlying these cognitive functions.
EEG can also help scientists understand how the brain processes and responds to different sensory and cognitive stimuli. Finally, it also plays an important role in the clinical diagnosis of neurological disorders. It is commonly used in epilepsy diagnosis, as well as in diagnosing sleep disorders, brain tumours, and other conditions affecting brain function.
How has EEG evolved?
It’s time to forget about the outdated use of analogues amplifiers and paper. It’s time to see the power of digital EEG systems. Digitalisation means real-time data visualisation, storage, and analysis.
Additionally, wearable and portable EEG devices have emerged, making it possible to capture brain activity outside of traditional laboratory settings, facilitating research in real-world environments. Find out more here if you want to know learn more about such a device.
The use of advanced machine learning algorithms could help in automated EEG analysis and the development of personalized diagnostic tools, and the fact that EEG devices have been miniaturised, the research will become more realistic, accessible and convenient.
