Characterizing hippocampal dynamics with MEG: A systematic review and evidence-based guidelines

Area of Science:

• Neuroscience
• Cognitive Science
• Biophysics

Background:

• The hippocampus is crucial for cognitive functions.
• Magnetoencephalography (MEG) excels at imaging shallow brain activity.
• MEG's signal-to-noise ratio decreases with source depth, posing challenges for deep brain structures like the hippocampus.

Purpose of the Study:

• To assess the feasibility of using MEG to detect and localize hippocampal activity.
• To review existing literature on MEG investigations of the hippocampus.

Main Methods:

• Systematic literature review.
• Analysis of studies employing MEG for hippocampal research.
• Evaluation of factors influencing MEG signal detection from deep brain sources.

Main Results:

• Successful detection of oscillatory neural activity originating in the hippocampus using MEG was confirmed.
• Key prerequisites include optimized experimental paradigms, coregistration, modeling, analysis, and signal-to-noise ratio.

Conclusions:

• MEG is a viable tool for detecting hippocampal neural oscillations.
• Further research and protocol optimization are needed to improve localization within hippocampal sub-structures.