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Personal Income Performance Correlates with Brain Structural Network Modularity but Not Intelligence Quotient.

Fanny Nusbaum1, Salem Hannoun2, Berardino Barile3

  • 1Health Systemic Process (P2S), UR 4129, Université Claude Bernard-Lyon 1, Université de Lyon, Lyon, France.

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Summary

Personal income performance correlates with modular brain connectivity, not intelligence quotient (IQ). This suggests efficient, rapid brain networks, rather than academic skills, may drive financial success.

Keywords:
brain structural connectivitydiffusion tensor imaginggraph metricsintelligenceintelligent quotientmodularitypersonnel income performance

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Graph Theory

Background:

  • Brain structural connectivity is increasingly studied using diffusion tensor imaging (DTI) and graph theory.
  • Understanding the neural basis of socioeconomic factors like personal income (PI) is crucial.

Purpose of the Study:

  • To investigate the association between brain structural connectivity and personal income (PI) in adults.
  • To explore the relationship between brain network organization, intelligence quotient (IQ), and PI performance.

Main Methods:

  • Utilized diffusion tensor imaging (DTI) and tract-based spatial statistics (TBSS) on 55 male subjects.
  • Applied brain graph techniques to analyze structural connectivity and generate graph metrics.
  • Assessed full-scale IQ (FSIQ) using the Wechsler Adult Intelligence Scale and calculated PI performance score.

Main Results:

  • Brain network modularity positively correlated with PI performance score (p=0.003) and negatively with FSIQ (p=0.04).
  • No significant correlation was found between IQ indices and PI performance.
  • TBSS revealed greater axial and mean diffusivities in high-performance groups, linked to modular brain organization.

Conclusions:

  • Personal income performance is strongly associated with a modular brain structural connectivity, indicating efficient, rapid processing networks.
  • The lack of correlation between performance and IQ suggests that decision-making networks, rather than academic reasoning, may be more influential in PI.
  • Findings imply that specialized brain network organization, not general intelligence, may underpin financial success.