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Resting-State Connectivity and Neuroimaging of Prefrontal Cortex Activity During a Block-Design Yoga Asana Practice Using fNIRS
Published on: June 24, 2025
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How to Interpret Resting-State fMRI: Ask Your Participants
Javier Gonzalez-Castillo1, Julia W Y Kam2,3, Colin W Hoy4
1Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland, 20892 javier.gonzalez-castillo@nih.gov.
Summary
Understanding ongoing experience during resting-state fMRI (rsfMRI) is crucial. This study proposes methods to link first-person introspective reports with rsfMRI data for deeper insights into brain function.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Resting-state fMRI (rsfMRI) captures brain activity during unconstrained thought.
- This ongoing experience, or mind-wandering, influences rsfMRI metrics like functional connectivity.
- The impact of subjective experience on rsfMRI is not well understood.
Purpose of the Study:
- To highlight the necessity of integrating first-person subjective experience data with rsfMRI.
- To propose standardized methods for collecting introspective data during fMRI scans.
- To provide guidelines for combining these datasets to investigate brain dynamics.
Main Methods:
- Review of existing literature on rsfMRI and introspective methods.
- Proposal of adapted introspective techniques suitable for the fMRI environment.
- Development of a framework for data fusion between subjective reports and neuroimaging data.
Main Results:
- The study argues that subjective experience significantly modulates rsfMRI signals.
- It outlines best practices for collecting temporally resolved, first-person accounts of mental states.
- A methodological approach for integrating introspective and rsfMRI data is presented.
Conclusions:
- Integrating subjective experience with rsfMRI is essential for a comprehensive understanding of brain function.
- Standardized introspective methods can yield scientifically validated data on ongoing experience.
- This data fusion approach promises to advance research into the origins of rsfMRI findings.

