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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
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The cerebral cortex, the brain's outermost layer, is pivotal in processing complex cognitive tasks, emotions, and various sensory inputs and executing voluntary motor activities. This intricate structure is divided into three primary functional areas: the motor areas, sensory areas, and association areas.
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A Cortical Surface-Based Meta-Analysis of Human Reasoning.

Minho Shin1, Hyeon-Ae Jeon1,2

  • 1Department of Brain and Cognitive Sciences, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.

Cerebral Cortex (New York, N.Y. : 1991)
|June 28, 2021
PubMed
Summary

This study introduces Bayesian meta-analysis of the cortical surface (BMACS), a new method for analyzing brain imaging data. BMACS reveals that reasoning processes converge in the brain's multiple-demand system.

Keywords:
Bayesian meta-analysis of the cortical surface (BMACS)functional magnetic resonance imaginginductive and deductive reasoningintegrated nested Laplace approximation (INLA)log-Gaussian Cox process

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Neuroimaging studies show varied results in understanding human reasoning.
  • Reasoning involves complex cognitive functions like attention, memory, and executive functions, implicating multiple brain regions.
  • Existing meta-analysis techniques inadequately represent the brain's cortical geometry.

Purpose of the Study:

  • To develop a novel meta-analysis method for improved spatial inference of cognitive processes.
  • To address limitations in current meta-analysis techniques regarding cortical surface representation.
  • To investigate the neural mechanisms underlying human reasoning through advanced meta-analysis.

Main Methods:

  • Developed Bayesian meta-analysis of the cortical surface (BMACS), a novel surface-based meta-analysis technique.
  • Applied spatial point processes to the cortical surface for accurate inference of activation patterns.
  • Utilized peak brain activations across multiple studies to map cognitive processes.

Main Results:

  • BMACS provides a fast, accurate, and accessible method for cognitive neuroscience research.
  • Identified colocalization of inductive and deductive reasoning activations within the multiple-demand system.
  • Demonstrated that reasoning represents a high-level convergence of complex cognitive processes.

Conclusions:

  • BMACS facilitates surface-based meta-analysis for deeper understanding of cognitive processes.
  • The multiple-demand system is crucial for orchestrating complex reasoning.
  • This new method advances the study of neural mechanisms of human cognition.