International QEEG Certification Board Guideline Minimum Technical Requirements for Performing Clinical Quantitative...

Area of Science:

• Neurophysiology
• Quantitative Electroencephalography (QEEG)
• Neuropsychiatry

Background:

• Quantitative electroencephalogram (QEEG) has advanced significantly since 1997.
• QEEG utilizes age-regressed metrics to quantify electroencephalogram (EEG) signal characteristics.
• This technology enhances the clinical utility of EEG in neuropsychiatry.

Purpose of the Study:

• To establish minimum standards for QEEG data acquisition and analysis.
• To ensure the validity and reliability of QEEG metrics.
• To provide guidelines for artifact management, visual inspection, and data processing.

Main Methods:

• Adherence to American Clinical Neurophysiology Society standards for multi-channel EEG acquisition.
• Guidelines for artifact management and visual inspection of EEG events.
• Recommendations for EEG selection, quality reporting, and spectral, statistical, and topographic analysis.

Main Results:

• Proposed requirements for EEG selection, quality reporting, and analysis.
• Review of common, validated QEEG features and mathematical tools like LORETA.
• Emphasis on the critical role of EEG data quality and processing correctness.

Conclusions:

• The efficacy of QEEG applications is strongly dependent on the quality of acquired EEG and subsequent processing.
• These recommendations serve as minimum standards for QEEG use, supported by the International QEEG Certification Board (IQCB).
• Standardization is essential for the reliable and valid application of QEEG in clinical practice.