Name
Title | ||
|---|---|---|
Test-retest reliability of brain responses to risk-taking during the balloon analogue risk task. |
Abstract | ||
|---|---|---|
The Balloon Analogue Risk Task (BART) provides a reliable and ecologically valid model for the assessment of individual risk-taking propensity and is frequently used in neuroimaging and developmental research. Although the test-retest reliability of risk-taking behavior during the BART is well established, the reliability of brain activation patterns in response to risk-taking during the BART remains elusive. In this study, we used functional magnetic resonance imaging (fMRI) and evaluated the test-retest reliability of brain responses in 34 healthy adults during a modified BART by calculating the intraclass correlation coefficients (ICC) and Dice’s similarity coefficients (DSC). Analyses revealed that risk-induced brain activation patterns showed good test-retest reliability (median ICC = 0.62) and moderate to high spatial consistency, while brain activation patterns associated with win or loss outcomes only had poor to fair reliability (median ICC = 0.33 for win and 0.42 for loss). These findings have important implications for future utility of the BART in fMRI to examine brain responses to risk-taking and decision-making. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.neuroimage.2019.116495 | NeuroImage |
Keywords | Field | DocType |
Test-retest reliability,Balloon analogue risk task (BART),fMRI,Intraclass correlation coefficient (ICC) | Functional magnetic resonance imaging,Brain activation,Developmental research,Cognitive psychology,Psychology,Audiology,Neuroimaging,Accident prevention,Risk taking,Spatial consistency,Intraclass correlation | Journal |
Volume | ISSN | Citations |
209 | 1053-8119 | 3 |
PageRank | References | Authors |
0.42 | 0 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiong Li | 1 | 3 | 0.42 |
| Yu Pan | 2 | 3 | 0.42 |
| Zhuo Fang | 3 | 3 | 0.42 |
| Hui Lei | 4 | 3 | 0.42 |
| Xiaocui Zhang | 5 | 3 | 0.42 |
| Hui Shi | 6 | 3 | 0.42 |
| Ning Ma | 7 | 3 | 0.42 |
| Philip Raine | 8 | 3 | 0.42 |
| Reagan Wetherill | 9 | 3 | 0.42 |
| Junghoon J Kim | 10 | 3 | 0.42 |
| Yan Wan | 11 | 3 | 0.42 |
| Hengyi Rao | 12 | 96 | 9.41 |