Abstract

The primary aim of this study was to examine changes in functional brain network organization from rest to the Iowa Gambling Task (IGT) using a graph-theoretical approach. Although many functional neuroimaging studies have examined task-based activations in complex-decision making tasks, changes in functional network organization during this task remain unexplored. This study used a repeated-measures approach to examine changes in functional network organization across multiple sessions of resting-state and IGT scans. The results revealed that global network organization shifted from a local, clustered organization at rest to a more global, integrated organization during the IGT. In addition, network organization was stable across sessions of rest and the IGT. Regional analyses of the Default Mode Network (DMN) and Fronto-Parietal Network (FPN) revealed differential patterns of change in regional network organization from rest to the IGT. The results of this study reveal that global and regional network organization is significantly modulated across states and fairly stable over time, and that network changes in the FPN are particularly important in the decision-making processes necessary for successful IGT performance.

Highlights

  • The Iowa Gambling Task (IGT) is a popular paradigm used to assess real world decisionmaking by clinicians and researchers (Bechara et al, 1994)

  • The results indicated there were no significant difference among the four blocks of the IGT (F(3,24) = 1.094, p = 0.371)

  • The results revealed that no metrics in the Default Mode Network (DMN) or Fronto-Parietal Network (FPN) were significantly associated with IGT performance

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Summary

Introduction

The Iowa Gambling Task (IGT) is a popular paradigm used to assess real world decisionmaking by clinicians and researchers (Bechara et al, 1994). In this task, individuals are instructed to consecutively select cards from four decks (typically referred to as A, B, C, and D). A variety of methods have been used to identify the relevant brain areas associated with IGT performance. Later studies have used functional neuroimaging techniques, PET and fMRI, as a convergent methodology that allows for more precise measurements of the brain areas contributing to the task, and without the disadvantages associated with lesion studies

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