State-related neural influences on fMRI connectivity estimation

Area of Science:

• Neuroimaging
• Cognitive Neuroscience
• Systems Neuroscience

Background:

• Functional magnetic resonance imaging (fMRI) measures brain activity by detecting changes in blood flow.
• Functional connectivity (FC) quantifies temporal correlations between brain regions, offering insights into network underpinnings of brain function and dysfunction.
• While some FC patterns are stable, FC is increasingly recognized as dynamic, varying with task demands and internal neural processes.

Purpose of the Study:

• To review recent advances in quantifying neural effects shaping fMRI FC.
• To discuss the implications of these findings for fMRI study design and analysis.
• To highlight how understanding neural factors can resolve inconsistencies and improve fMRI-based conclusions.

Main Methods:

• Review of recent literature on neural modulation of fMRI signals.
• Analysis of how dynamic FC relates to cognitive and physiological states.
• Discussion of methodological considerations for fMRI data analysis.

Main Results:

• FC is not static but dynamically modulated by task demands, arousal, consciousness, perception, cognitive/affective states, and brain-body interactions.
• These neural processes present challenges and opportunities for interpreting FC measurements.
• Quantifying these neural effects is crucial for accurate FC interpretation.

Conclusions:

• A deeper understanding of neural factors influencing FC is essential for robust fMRI research.
• Accounting for dynamic FC variations can resolve apparent inconsistencies in the literature.
• Improved interpretation of fMRI data leads to more meaningful conclusions about brain function and dysfunction.