Standardization and Personalized Medicine Using Quantitative EEG in Clinical Settings

Area of Science:

• Neuroscience
• Psychiatry
• Medical Informatics

Background:

• Healthcare trends emphasize standardization for safety and effectiveness.
• Personalized medicine focuses on tailoring treatments to individual patients.
• Quantitative EEG (qEEG) analysis compares individual EEGs to normative databases.

Purpose of the Study:

• To explore the application of standardization and personalized medicine trends in qEEG.
• To discuss the advantages of standardized, automated de-artifacting in qEEG.
• To evaluate the comparability of commonly used qEEG databases.

Main Methods:

• Utilized de-artifacted resting-state EEGs from individuals.
• Compared individual qEEG data against normative databases.
• Conducted a systematic comparison of two prevalent qEEG databases.

Main Results:

• Standardized and automated de-artifacting procedures are increasingly adopted.
• Comparison showed high comparability between two major qEEG databases.
• This comparability supports the reliability and validity of qEEG databases.

Conclusions:

• Standardized qEEG interpretation aids in diagnosis and treatment selection.
• qEEG effectively merges personalized medicine with standardization in psychological disorder treatment.
• The findings support the move towards standardized qEEG clinical practice.