Processing of intentional and automatic number magnitudes in children born prematurely: evidence from fMRI

Elise Klein1, Korbinian Moeller, Ursula Kiechl-Kohlendorfer

  • 1a Knowledge Media Research Institute , Neurocognition Lab , Tuebingen , Germany.

Insights

Children born prematurely show overlapping brain activity for intentional and automatic number processing. Risk factors like gestational age shift brain activation, impacting math skills differently based on processing type.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • Premature birth can affect cognitive development, including numerical cognition.
  • Understanding the neural basis of number processing in this population is crucial.

Purpose of the Study:

  • To investigate the neural correlates of intentional and automatic number processing in preterm children.
  • To examine how risk factors (gestational age, birth weight) influence brain activation patterns.
  • To explore the relationship between math proficiency and brain activity in distinct number processing tasks.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used to measure brain activity.
  • Number comparison task (intentional) and physical Stroop task (automatic) were employed.
  • Behavioral data analyzed for numerical distance and size congruity effects.

Main Results:

  • Both intentional and automatic number processing showed overlapping fronto-parietal activation.
  • Gestational age and birth weight were associated with a shift in activation from frontal to parietal regions.
  • Math proficiency correlated with specific parietal lobe fMRI signals, varying by task.

Conclusions:

  • Intentional and automatic number processing share common neural resources but also exhibit distinct patterns in preterm children.
  • Brain activation shifts with risk factors, highlighting neurodevelopmental differences.
  • Parietal lobe activity is critical for math proficiency, with task-specific neural signatures.

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