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Extremely preterm children demonstrate hyperconnectivity during verb generation: A multimodal approach.

Maria E Barnes-Davis1, Stephanie L Merhar2, Scott K Holland3

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Children born extremely preterm show altered brain connectivity. This hyperconnectivity in specific brain networks is linked to better expressive language skills in these children.

Keywords:
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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Pediatric Neurology

Background:

  • Children born extremely preterm (<28 weeks gestation) often experience developmental delays, particularly in language.
  • Understanding the neural basis of language in this population is crucial for early intervention.

Purpose of the Study:

  • To investigate language network function and connectivity in extremely preterm (EPT) children compared to term-born controls.
  • To explore the relationship between brain connectivity patterns and expressive language abilities in EPT children.

Main Methods:

  • Used fMRI-constrained magnetoencephalography (MEG) for language network assessment during a verb generation task.
  • Analyzed functional connectivity using phase locking value (PLV) and employed Network Based Statistics (NBS) to identify subnetworks.
  • Correlated subnetwork connectivity strength with expressive language scores.

Main Results:

  • No significant differences in fMRI language representation between EPT and term-born control (TC) groups.
  • Significant group differences in functional connectivity observed via MEG.
  • A hyperconnected subnetwork in beta and gamma frequency bands was identified in the EPT group (p < 0.05).
  • For EPT children, gamma band subnetwork strength positively correlated with expressive language scores (r = 0.318, p < 0.05).

Conclusions:

  • Despite potential language delays, EPT children exhibit distinct patterns of brain functional connectivity.
  • Hyperconnectivity within specific neural subnetworks may be a compensatory mechanism or marker of resiliency for language development in EPT individuals.