Characterizing variation in the functional connectome: promise and pitfalls

Area of Science:

• Neuroimaging
• Cognitive Neuroscience
• Systems Neuroscience

Background:

• The functional MRI (fMRI) field widely uses resting-state functional connectivity for mapping brain organization.
• Task-independent fMRI methods are increasingly applied to investigate phenotypic variation and identify clinical biomarkers.
• Despite widespread adoption, the interpretation and validity of intrinsic brain activity remain subjects of ongoing discussion.

Purpose of the Study:

• To address the challenges and questions surrounding the significance and validity of intrinsic brain phenomena.
• To outline current developments in resting-state fMRI research.
• To facilitate a shift from brain cartography towards a mechanistic understanding of neural bases for cognition, emotion, and behavior.

Main Methods:

• Review and discussion of current developments in resting-state functional connectivity analysis.
• Focus on task-independent functional MRI approaches.
• Exploration of methods enabling a move towards discovery science in neuroscience.

Main Results:

• The field is progressing from mapping brain architecture to investigating individual differences and clinical applications.
• Current advancements support a transition towards understanding the mechanisms underlying cognitive, emotional, and behavioral variations.
• The utility of resting-state fMRI is being extended beyond large-scale brain organization mapping.

Conclusions:

• Resting-state fMRI has proven valuable for mapping brain organization and is being adapted for phenotypic and clinical studies.
• Addressing the validity of intrinsic brain phenomena is crucial for advancing the field.
• Future directions emphasize a mechanistic understanding of neural processes underlying variation in cognition, emotion, and behavior.