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Related Concept Videos

Socioemotional Development during Infancy01:30

Socioemotional Development during Infancy

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Socio-emotional development in infancy is primarily shaped by early emotional responses and social connections, with temperament playing a central role. Temperament refers to the consistent patterns in an individual's emotional and behavioral responses, observable even in infancy. By examining temperament, researchers can better understand an infant's unique ways of interacting with the world, influencing subsequent personality and socio-emotional growth.
Primary Temperament Types
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Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
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Neonatal multi-modal cortical profiles predict 18-month developmental outcomes.

Daphna Fenchel1, Ralica Dimitrova2, Emma C Robinson3

  • 1MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK; Sackler Institute for Translational Neurodevelopment, Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London SE5 8AF, UK.

Developmental Cognitive Neuroscience
|April 1, 2022
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Summary

Brain structure at birth predicts infant social-emotional development. Coordinated cortical development in newborns, assessed using morphometric similarity networks (MSNs), accurately forecasts later behavioral outcomes at 18 months.

Keywords:
Brain developmentInfant developmentMorphometric similarity networksNeonatal neuroimagingPerinatal

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Infant developmental delays can lead to lifelong challenges.
  • Understanding early brain development is crucial for predicting outcomes.
  • Variability in infant capacities relates to the emergence of brain circuits.

Purpose of the Study:

  • To investigate if cortical structural covariance at birth relates to later infant behavior.
  • To determine if neonatal brain network organization predicts developmental outcomes.
  • To identify specific cortical regions involved in early developmental prediction.

Main Methods:

  • Utilized data from 193 healthy term-born infants from the Developing Human Connectome Project (dHCP).
  • Computed individual cortical connectivity matrices (morphometric similarity networks, MSNs) from morphological and microstructural features.
  • Applied Connectome-Based Predictive Modeling (CPM) to predict 18-month behavioral scores from neonatal MSNs.

Main Results:

  • Neonatal morphometric similarity networks (MSNs) successfully predicted social-emotional performance at 18 months.
  • Predictive connections were located both between and within established functional cortical divisions.
  • Primary and posterior cortical regions played a significant role in these predictions.

Conclusions:

  • Multi-modal neonatal cortical profiles indicating coordinated maturation are linked to developmental outcomes.
  • Early network organization at birth provides a foundational infrastructure for future functional skills.
  • This study highlights the potential of early brain structure assessment for predicting developmental trajectories.