Adult EEG

Area of Science:

• Neuroscience
• Clinical Electrophysiology
• Medical Diagnostics

Background:

• Electroencephalogram (EEG) has been a cornerstone in clinical practice for over 85 years.
• Digital technology has significantly advanced EEG capabilities, expanding its applications beyond traditional laboratory settings.
• Fundamental neurophysiologic principles remain critical for interpreting EEG data in patient care.

Purpose of the Study:

• To highlight the enduring value and evolving applications of EEG in clinical practice.
• To underscore the importance of basic neurophysiologic principles in interpreting EEG.
• To showcase advancements in EEG technology and their impact on neurological diagnostics.

Main Methods:

• Review of the historical development and current applications of EEG.
• Discussion of how digital technology and software have enhanced EEG utility.
• Examination of specific EEG patterns (interictal and ictal) for diagnosis and classification.
• Integration of high-density EEG and electrical source imaging for surgical candidate evaluation.
• Exploration of quantitative EEG and broadband EEG for functional brain process understanding.

Main Results:

• Interictal EEG patterns aid in diagnosing paroxysmal neurological events and classifying epilepsy syndromes.
• Ictal EEG recordings help characterize and quantify seizures.
• EEG can detect focal or lateralized cerebral dysfunction even when structural imaging is normal.
• High-density EEG with electrical source imaging improves localization for epilepsy surgery.
• Quantitative and broadband EEG offer new insights into brain functional processes.

Conclusions:

• EEG remains an indispensable, cost-effective tool for assessing brain electrophysiologic activity.
• Technological advancements have broadened EEG's diagnostic and research capabilities.
• Continued understanding of neurophysiologic principles is essential for maximizing EEG's clinical utility.