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Spatial migration of human reward processing with functional development: Evidence from quantitative meta-analyses.

Zachary A Yaple1, Rongjun Yu1,2, Marie Arsalidou3,4

  • 1Department of Psychology, National University of Singapore, Singapore, Singapore.

Human Brain Mapping
|July 9, 2020
PubMed
Summary

Brain reward processing significantly differs by age, with distinct neural regions activated in children, adolescents, and adults. This study reveals a functional reorganization across development, impacting decision-making abilities.

Keywords:
adolescentschildrendevelopmental neurosciencefMRI meta-analysisreward processing

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Neuroscience

Background:

  • Functional magnetic resonance imaging (fMRI) studies indicate age-related variations in how the brain processes rewards.
  • Understanding these developmental differences is crucial for comprehending decision-making across the lifespan.

Purpose of the Study:

  • To quantitatively meta-analyze fMRI data and map age-dependent differences in neural activation during reward processing.
  • To elucidate the developmental trajectory of reward circuitry from childhood through adulthood.

Main Methods:

  • Systematic literature search and quantitative meta-analysis of 70 published articles.
  • Inclusion of neuroimaging data from 554 children, 1,059 adolescents, and 1,831 adults.
  • Analysis of functional magnetic resonance imaging (fMRI) data to identify age-specific patterns of brain activation.

Main Results:

  • Adults exhibit widespread activation across regions including the cingulate cortex, insula, basal ganglia, and thalamus.
  • Adolescents show engagement of the posterior cingulate, middle frontal gyrus, insula, and amygdala.
  • Children's reward processing is primarily localized to the right insula and striatal areas.

Conclusions:

  • Evidence supports a significant reorganization of brain function related to reward processing throughout childhood and adolescence.
  • These findings contribute to developmental neuroscience and inform theories of age-related changes in decision-making.