The future of electroencephalography in assessing neurocognitive functioning

Area of Science:

• Neuroscience
• Cognitive Science
• Biomedical Engineering

Background:

• High temporal resolution is crucial for understanding dynamic brain activity related to cognition.
• Current methods for measuring brain function need to be simple, non-intrusive, and suitable for naturalistic settings.
• Electroencephalography (EEG) uniquely offers both high temporal resolution and non-intrusive measurement capabilities.

Purpose of the Study:

• To address limitations in Electroencephalography (EEG) for cognitive function assessment.
• To explore technical and sociological barriers hindering the broader application of EEG.
• To highlight recent advancements enabling improved spatial resolution and integration with other neuroimaging modalities.

Main Methods:

• Utilizing increased electrode density for EEG recordings.
• Registering EEG data with individual subject's Magnetic Resonance Imaging (MRI) for anatomical correlation.
• Applying signal processing techniques to correct for volume conduction and estimate signal sources.

Main Results:

• Technical advancements have significantly improved the spatial resolution of EEG.
• These improvements allow for better correlation of electrical brain activity with anatomical structures.
• Overcoming sociological barriers between clinical neurology and cognitive research is key for EEG's future.

Conclusions:

• EEG is poised for a resurgence as a primary tool for measuring higher brain functions, especially when high temporal resolution is paramount.
• Enhanced EEG will serve as a valuable complement to functional MRI, providing both high temporal and spatial resolution.
• The integration of advanced EEG techniques promises a new era for understanding the mind.