Charlas - Carlos Aranibar: Facilitar la comprensión de un análisis de neuroimágenes 🧠

EEG (electroencephalogram) measures electrical activity in the brain through electrodes placed on the scalp

Traditional EEG tests typically use around 20 electrodes and last 30-40 minutes in hospital settings, though portable options now exist

Brain waves are classified into different types:

• Delta: unconscious state
• Theta: deep concentration/“zen” mode
• Alpha: common wakeful state
• Beta: alert/anxious state
• Gamma: high activity

Modern EEG technology improvements include:

• More sensitive sensors
• Digital data formats
• Better visualization tools
• Portable/wearable devices
• Integration with other analysis software

Key applications of EEG include:

• Epilepsy detection
• Sleep disorders
• Meditation monitoring
• Attention deficit assessment
• Brain tumor detection

Visual stimulation (like flashing lights) can significantly affect brain wave patterns, particularly in epileptic patients

Python libraries and open-source tools have made EEG data analysis more accessible and easier to interpret

The occipital region (back of head) responds strongly to visual stimuli, while frontal regions handle other cognitive functions

Portable EEG devices enable more frequent monitoring in natural environments compared to one-time hospital visits

Machine learning techniques like ICA (Independent Component Analysis) help isolate and analyze specific brain activity patterns