Functional connectivity in the brain: effects of anesthesia

Area of Science:

• Neuroscience
• Anesthesiology

Background:

• Functional connectivity measures temporal correlations between brain areas.
• It has been applied across various neuroimaging techniques like fMRI, EEG, and MEG.
• Functional networks, such as the default mode network (DMN), are identified through these correlations.

Purpose of the Study:

• To review and synthesize the diverse literature on functional connectivity during anesthesia.
• To elucidate the mechanisms of anesthesia and understand intrinsic brain activity.
• To address the lack of standardization in current research.

Main Methods:

• Review of existing studies employing functional connectivity analysis in anesthetized states.
• Integration of findings from various neuroimaging modalities (PET, EEG, MEG, fMRI).
• Examination of different anesthetics, dosages, and depths of anesthesia.

Main Results:

• Functional connectivity analysis provides insights into brain network alterations under anesthesia.
• Diverse findings exist regarding specific network changes depending on anesthetic agents and depth.
• Challenges include non-standardized methodologies across studies.

Conclusions:

• Functional connectivity is a valuable tool for studying the brain during anesthesia.
• Further standardization is needed for robust and comparable results.
• This analysis offers crucial insights for both neuroscience and anesthesiology.