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Infant sleep state coded from respiration and its relationship to the developing functional connectome: A feasibility
Isabelle Mueller1, Raimundo X Rodriguez2, Nicolò Pini1
1Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY 10032, United States.
Developmental Cognitive Neuroscience
|February 18, 2025
Summary
This study explored infant sleep states during fMRI scans. Researchers found no significant differences in the functional connectome between active and quiet sleep, but noted potential effects for future research.
Area of Science:
- Neuroscience
- Developmental Biology
- Medical Imaging
Background:
- Infant neuroimaging often relies on natural sleep to minimize motion artifacts.
- Understanding how different sleep states influence brain development and functional connectivity in infants is crucial but remains underexplored.
Purpose of the Study:
- To develop and validate a novel method for quantifying active and quiet sleep states in infants during functional magnetic resonance imaging (fMRI).
- To investigate potential differences in the infant functional connectome between active and quiet sleep states.
Main Methods:
- Developed a novel approach using time-locked infant respiration to code sleep states (active vs. quiet) during fMRI.
- Analyzed respiratory variability based on established validated procedures.
- Compared functional connectome data between identified sleep states in infants up to 47 weeks postmenstrual age.
Main Results:
- Successfully coded sleep states in 11 out of 20 infants using respiration data.
- No statistically significant differences were observed in the functional connectome between active and quiet sleep states.
- Large effect sizes were noted, suggesting potential sleep-related influences on connectivity in some contexts.
Conclusions:
- Demonstrated the feasibility and practicality of using respiration monitoring to code infant sleep states during fMRI.
- Highlights the potential importance of sleep states in infant neuroimaging studies.
- Recommends wider adoption of this respiration-based approach for improved sleep state characterization in infant neurodevelopment research.
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