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Related Concept Videos

Deactivation Processes: Jablonski Diagram01:25

Deactivation Processes: Jablonski Diagram

Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...

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Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
10:09

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Published on: September 22, 2014

Functional network activation during a subtraction task.

Anna Hutber1, Suraiya Husain2, Luis Diambra2,3,4

  • 1Blizard Institute, Neuroscience, Surgery and Trauma, Queen Mary University of London, London, UK. annafhutber@gmail.com.

Scientific Reports
|June 2, 2026
PubMed
Summary
This summary is machine-generated.

Individual differences in arithmetic ability are linked to brain activity patterns. Higher scores correlate with specific brain wave activity and connectivity in frontal and temporal regions, suggesting efficient working memory and attention modulation.

Keywords:
EEGFronto-parietalFunctional connectivityMental arithmeticMutual informationSpectral power

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Arithmetic processing involves fronto-parietal and temporal brain networks.
  • Frequency-specific brain dynamics are modulated by arithmetic operation and complexity.
  • Individual differences in arithmetic performance and their neural underpinnings are not well understood.

Purpose of the Study:

  • To investigate the spectral and connectivity dynamics associated with individual differences in arithmetic performance.
  • To identify brain activity correlates of arithmetic scores during serial subtraction.

Main Methods:

  • Quantified spectral power and mutual information (MI) during serial subtraction tasks.
  • Examined correlations between brain activity measures and arithmetic scores.

Main Results:

  • Positive correlations found between beta power (left frontal) and delta power (right temporal) with arithmetic score.
  • Negative correlations observed between frontal-temporal/posterior MI in beta/gamma bands and arithmetic score.
  • Positive correlations found between alpha band MI (bilateral frontal-left temporal) and arithmetic score, while negative correlations were seen between left frontal-right central MI in alpha band.

Conclusions:

  • Increased left frontal activation and functional disconnection from posterior regions in the beta band are associated with higher arithmetic scores.
  • Efficient working memory and arithmetic processing may involve selective activation and segregation of task-irrelevant activity.
  • Alpha band activity and its connectivity patterns, potentially involving attention and default mode networks, are linked to improved arithmetic performance.