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Related Concept Videos

Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

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Related Experiment Video

Updated: May 8, 2026

Multi-layer Cortical Ca2+ Imaging in Freely Moving Mice with Prism Probes and Miniaturized Fluorescence Microscopy
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The chronometry of risk processing in the human cortex.

Mkael Symmonds1, Rosalyn J Moran, Nicholas D Wright

  • 1Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London London, UK ; Nuffield Department of Clinical Neurosciences, Oxford University, John Radcliffe Hospital Headington, Oxford, UK.

Frontiers in Neuroscience
|August 24, 2013
PubMed
Summary
This summary is machine-generated.

This study uses magnetoencephalography (MEG) to reveal how the brain encodes risk during decision-making. Neural activity in key brain regions tracks risk components within 500 ms, predicting choices and informing risk perception theories.

Keywords:
cortexdecision-makingmagnetoencephalography (MEG)neuroeconomicsrisk

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Functional MRI (fMRI) studies offer limited temporal insight into decision-making processes.
  • Understanding the temporal dynamics of neural activity in risk encoding is crucial for a complete picture of human choice.

Purpose of the Study:

  • To investigate the temporal evolution of neural activity associated with risk encoding during decision-making.
  • To identify brain regions and electromagnetic signals that track specific components of risk (variance, skewness).
  • To explore the role of neural activity in predicting choices and reflecting individual risk preferences.

Main Methods:

  • Magnetoencephalography (MEG) was employed to capture high-temporal-resolution brain activity.
  • Analysis focused on electromagnetic power modulations in specific cortical regions.
  • Subject-specific risk preferences were assessed and correlated with neural responses.

Main Results:

  • Modulations in electromagnetic power within posterior parietal and dorsomedial prefrontal cortex (DMPFC) scaled with lottery variance and skewness, detected within 500 ms.
  • Electromagnetic responses in somatosensory cortex predicted subsequent choices.
  • Anterior insula showed early and late effects related to individual risk preferences, suggesting roles in risk assessment and anticipation.

Conclusions:

  • Cortical activity dynamically tracks independent components of risk from early stages of decision-making.
  • These findings support the hypothesis of specialized brain circuitry underlying risk perception.
  • MEG provides critical temporal information for understanding the neuroscience of decision-making.