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Related Concept Videos

Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
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Related Experiment Video

Updated: Jun 24, 2026

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

Local pattern classification differentiates processes of economic valuation.

John A Clithero1, R McKell Carter, Scott A Huettel

  • 1Department of Economics, Duke University, USA.

Neuroimage
|April 8, 2009
PubMed
Summary
This summary is machine-generated.

Researchers identified distinct neural patterns in the brain

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Last Updated: Jun 24, 2026

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Published on: November 9, 2011

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Decision Science

Background:

  • Effective decision-making relies on subjective value computation from diverse information.
  • Neural mechanisms for value computation across different scenarios remain unclear.

Purpose of the Study:

  • To identify brain regions with unique information for different valuation types.
  • To explore neural differences in processing probabilistic versus intertemporal choices.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed.
  • Machine learning, specifically support vector machines (SVM), was used to analyze brain data.
  • A combinatoric approach assessed regional contributions to model generalization.

Main Results:

  • Local voxel patterns in the left posterior parietal cortex uniquely differentiated probabilistic and intertemporal valuation.
  • These fine-grained distinctions were not detectable with standard fMRI analyses.

Conclusions:

  • Early valuation phases for different reward types exhibit distinct neural representations.
  • This suggests a computational topography within the brain's value construction pathway.