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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy
Published on: May 27, 2020
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Reduced brain resting-state network specificity in infants compared with adults
Korey P Wylie1, Donald C Rojas1, Randal G Ross1
1Department of Psychiatry, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Neuropsychiatric Disease and Treatment
|August 6, 2014
Summary
Infant brain networks show less specific connections and more communication between networks compared to adults. This suggests brain development involves increasing specialization with experience.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Brain Imaging
Background:
- Infant resting-state networks differ from those in adults.
- Brain development theories emphasize increasing regional and network specialization.
Purpose of the Study:
- Compare functional connectivity in infant and adult resting-state networks.
- Investigate developmental changes in network specificity and internetwork communication.
Main Methods:
- Acquired resting-state functional magnetic resonance imaging (fMRI) in 12 infants and 17 adults.
- Utilized independent components analysis (ICA) to extract resting-state networks.
- Compared network components between infant and adult groups.
Main Results:
- Adults showed stronger default mode network connectivity in the posterior cingulate cortex.
- Infants exhibited higher connectivity in medial prefrontal cortex/anterior cingulate cortex.
- Infants displayed significantly higher internetwork communication than adults.
Conclusions:
- Infant resting-state network development is characterized by increasing spatial specificity.
- This developmental trajectory likely reflects functional specialization through experience.
- Findings support theories of progressive specialization in brain networks during development.
