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Decoding the human brain during intelligence testing.

Jonas A Thiele1, Joshua Faskowitz2, Olaf Sporns2

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Brain connectivity and dynamic complexity across scales relate to human intelligence. Enhanced functional connectivity in frontal and parietal regions and complex long-range brain processes correlate with higher intelligence scores.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Understanding the neural basis of human intelligence is a key neuroscience goal.
  • Previous research used functional magnetic-resonance imaging (fMRI) and electroencephalography (EEG) to study intelligence at different scales.
  • These methods were typically applied independently, limiting a comprehensive understanding of intelligence across multiple dimensions.

Purpose of the Study:

  • To investigate intelligence as a multilayered phenomenon integrating temporal and spatial scales.
  • To explore the relationship between brain region connectedness and the complexity of brain dynamics with intelligence.
  • To advance multiscale theories of human intelligence.

Main Methods:

  • Graph-theoretical analysis of fMRI-derived functional connectivity (N=67).
  • Multiscale entropy analysis of electroencephalography (EEG) signals (N=131).
  • Correlation analysis between brain network properties, dynamic complexity, and intelligence test performance.

Main Results:

  • fMRI analysis showed that the connectedness of frontal and parietal regions was associated with individual intelligence test performance.
  • EEG analysis revealed that higher intelligence scores correlated with more complex long-range brain processes.
  • A trend indicated that higher intelligence scores were associated with less complex short-range brain processes.

Conclusions:

  • Intelligence is related to both the structural connectedness of brain regions and the complexity of neural dynamics across multiple scales.
  • Findings support multiscale theories of human intelligence, emphasizing the integration of information across different temporal and spatial resolutions.
  • This study highlights the importance of considering brain function across various scales for a complete understanding of cognitive abilities.