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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Pre-acquired Functional Connectivity Predicts Choice Inconsistency.

Asaf Madar1, Vered Kurtz-David2,3, Adam Hakim4

  • 1Sagol School of Neuroscience, Tel Aviv University, Tel Aviv 69978, Israel asafmadar@mail.tau.ac.il.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|March 20, 2024
PubMed
Summary
This summary is machine-generated.

Neural predispositions, measured before a choice task, can predict inconsistent economic choices. Resting-state functional connectivity (rsfMRI FC) between value and motor brain networks is a key predictor of choice inconsistency.

Keywords:
choice inconsistencydecision-makingfunctional connectivitypredictive modeling

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Behavioral Economics

Background:

  • Economic theories often assume rational utility maximization.
  • Human choices can be inconsistent and suboptimal, even without external influences.
  • Previous research linked brain activity during choice to inconsistency.

Purpose of the Study:

  • To investigate if neural predispositions predict future choice inconsistency.
  • To determine if resting-state functional connectivity (FC) can forecast choice behavior.
  • To explore the role of value and motor network synchrony in choice inconsistency.

Main Methods:

  • Resting-state functional magnetic resonance imaging (rsfMRI) was used to measure FC before a risky choice task.
  • FC measures from value and motor regions, and whole-brain FC, were used to predict inconsistency.
  • A neural network was externally validated on a large dataset (37,000 subjects).

Main Results:

  • Both hypothesized (value/motor) and whole-brain FC models significantly predicted choice inconsistency.
  • Whole-brain models primarily relied on FC between value and motor areas.
  • External validation confirmed the predictive power of FC for choice inconsistency.

Conclusions:

  • The tendency for choice inconsistency is rooted in neural predispositions.
  • Synchrony between motor and value brain networks is crucial for predicting choice inconsistency.
  • rsfMRI FC offers a promising biomarker for understanding suboptimal economic choices.