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Related Concept Videos

Reason and Intuition01:37

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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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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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Distributed Intracranial Activity Underlying Human Decision-making Behavior.

Jacqueline A Overton1,2, Karen A Moxon3, Matthew P Stickle3

  • 1Department of Neuroscience, UC Davis, Davis, California 95616.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|February 14, 2025
PubMed
Summary
This summary is machine-generated.

High-frequency neural activity in the brain represents computations like risk and win probability during decision-making. This activity is widely distributed, revealing brain-wide reward processing during economic choices.

Keywords:
decision-makingelectrophysiologyintracranialmultiarealreward

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroeconomics

Background:

  • Value-based decision-making engages distributed brain networks, but the neurophysiological basis of economic choices is not fully understood.
  • The representation of reward-guided choices and associated computations (e.g., risk, win probability) across brain regions remains largely unexplored.

Purpose of the Study:

  • To investigate the hypothesis that reward choices and related computations are represented in high-frequency neural activity (HFA).
  • To determine if this neural activity is localized or widely distributed across the human brain.

Main Methods:

  • Intracranial recordings were obtained from neurosurgical patients during a decision-making game.
  • Recordings spanned multiple cortical (orbitofrontal, lateral prefrontal, parietal, cingulate) and subcortical (hippocampus, amygdala) regions.
  • Analysis focused on high-frequency activity (HFA) and its correlation with choice-related computations and final choices.

Main Results:

  • High-frequency activity (HFA) differentially represents choice-related computations and choice information.
  • Choice computations (risk, win probability) showed local and uneven representation across brain regions.
  • Choice information was widely distributed, appearing later and more prevalently across all examined regions.

Conclusions:

  • Neural activity underlying economic choices is broadly distributed across the brain.
  • Local HFA reflects the integration of choice-related information into a final decision.
  • Findings illuminate the brain-wide reward processing and distributed neural basis of economic decision-making.