Altered functional network connectivity in preterm infants: antecedents of cognitive and motor impairments?
Elveda Gozdas1,2, Nehal A Parikh3,4, Stephanie L Merhar3
1Department of Physics, University of Cincinnati, Cincinnati, OH, USA.
Insights
Very preterm infants show altered brain connectivity, impacting motor, language, and cognitive functions. These functional network changes, detectable early, may predict developmental delays and guide interventions.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Medical Imaging
Background:
- Very preterm infants (≤31 weeks gestational age) face high risks for brain injury and developmental delays.
- Anatomical brain injury is not always evident in these infants, necessitating sensitive detection methods.
- Understanding early functional brain alterations is crucial for predicting neurodevelopmental outcomes.
Purpose of the Study:
- To investigate functional connectivity alterations in very preterm infants compared to term-born controls using resting-state functional MRI (fcMRI).
- To test if graph theory measures reveal network differences in preterm infants, even without anatomical lesions.
- To explore the potential of functional connectivity as early prognostic biomarkers.
Main Methods:
- Resting-state functional MRI (fcMRI) was used to assess functional connectivity.
- Graph theory analysis was applied to fcMRI data to examine brain network properties.
- Fifty-one term-born controls and 24 very preterm infants were evaluated at term-equivalent age.
Main Results:
- Preterm infants demonstrated significantly lower functional connectivity in motor, cognitive, language, and executive function networks compared to term controls.
- Graph theory analysis revealed lower rich-club connectivity and assortativity, and higher small-worldness in preterm infants.
- No significant differences in modularity were observed between the groups.
Conclusions:
- Functional connectivity deficits are present early in very preterm infants, affecting key brain networks crucial for development.
- These functional network alterations occur even without visible anatomical brain injury.
- Functional network measures show promise as biomarkers for predicting developmental disabilities and informing early interventions.
Abstract:
Very preterm infants (≤ 31 weeks gestational age) are at high risk for brain injury and delayed development. Applying functional connectivity and graph theory methods to resting state MRI data (fcMRI), we tested the hypothesis that preterm infants would demonstrate alterations in connectivity measures both globally and in specific networks related to motor, language and cognitive function, even when there is no anatomical imaging evidence of injury. Fifty-one healthy full-term controls and 24 very preterm infants without significant neonatal brain injury, were evaluated at term-equivalent age with fcMRI. Preterm subjects showed lower functional connectivity from regions associated with motor, cognitive, language and executive function, than term controls. Examining brain networks using graph theory measures of functional connectivity, very preterm infants also exhibited lower rich-club coefficient and assortativity but higher small-worldness and no significant difference in modularity when compared to term infants. The findings provide evidence that functional connectivity exhibits deficits soon after birth in very preterm infants in key brain networks responsible for motor, language and executive functions, even in the absence of anatomical lesions. These functional network measures could serve as prognostic biomarkers for later developmental disabilities and guide decisions about early interventions.
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