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Structural Organization of the Human Body: An Overview01:18

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Related Experiment Video

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Modeling the Functional Network for Spatial Navigation in the Human Brain
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Altered structural and functional brain network overall organization predict human intertemporal decision-making.

Zhiyi Chen1, Xingwang Hu2, Qi Chen3

  • 1Faculty of Psychology, Southwest University, Chongqing, China.

Human Brain Mapping
|September 22, 2018
PubMed
Summary

Individuals with steep discounting rates show weaker brain network organization. This study links whole-brain network metrics to intertemporal decision-making, revealing altered global and local communication patterns.

Keywords:
delay discountinggraph theoryhuman brain connectomestructural-functional coupling

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Network Science

Background:

  • Intertemporal decision-making involves choices with delayed consequences impacting life outcomes.
  • Previous research focused on regional or sub-network mechanisms of intertemporal choice.
  • Characterizing intertemporal behavior using multimodal whole-brain network metrics remains underexplored.

Purpose of the Study:

  • To investigate the relationship between whole-brain network topological properties and intertemporal decision-making.
  • To explore how integrated structural and functional brain networks relate to discounting rates.

Main Methods:

  • Combined diffusion tensor imaging (DTI) and resting-state functional connectivity magnetic resonance imaging (rs-fMRI).
  • Applied graph-theoretical analysis to assess whole-brain network metrics.
  • Examined both structural and functional connectivity networks, as well as their cross-modal coupling.

Main Results:

  • Steeper discounting rates correlated with decreased global topological organization (small-world and rich-club regimes) in both structural and functional networks.
  • Reduced modularity in functional connectomes was observed in participants with steep discounting.
  • These associations were also found in the coupling between structural and functional connectivity.

Conclusions:

  • Intertemporal decision-making is associated with the overall organization of multimodal brain networks.
  • Altered global and local information processing patterns within the brain's network topology underlie differences in intertemporal behavior.
  • This study shifts the understanding of intertemporal decision-making from regional analyses to a whole-brain network perspective.