The assessment dimension of regulatory mode mediates the relation between frontoparietal connectivity and risk-taking: Evidence from voxel-base morphometry and functional connectivity analysis

Huo, Hangfeng; Seger, Carol A.; Zhou, Dandan; Chen, Zhiyi; Xu, Ting; Rong, Zhang; Feng, Tingyong; Chen, Qi

doi:10.1016/j.bandc.2020.105533

Cited by 4 publications

(2 citation statements)

References 68 publications

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“…To test this hypothesis, we first examined the correlations between the GMV of these regions and aggressive POE using voxel-based morphometry (VBM) [61] at the whole-brain level. Furthermore, previous studies have shown that individual differences in mental processes, as observed in the structure of different brain regions, are also reflected in the RSFCs of these regions with other brain regions [55,62]. Thus, we further explored the correlations between aggressive POE and the RSFCs of the clusters found in the VBM analysis.…”

Section: Introductionmentioning

confidence: 95%

Neural Correlates of Positive Outcome Expectancy for Aggression: Evidence from Voxel-Based Morphometry and Resting-State Functional Connectivity Analysis

Wei,

Xia

2023

Brain Sciences

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Positive outcome expectancy is a crucial cognitive factor influencing aggression, yet its neural basis remains unclear. Therefore, the present study combined voxel-based morphometry (VBM) with a resting-state functional connectivity (RSFC) analysis to investigate the brain correlates of positive outcome expectancy in aggression in young people. In the VBM analysis, multiple linear regression was conducted to explore the relationship between individual differences in aggressive positive outcome expectancy and regional gray matter volume (GMV) among 325 undergraduate students. For the RSFC analysis, seed regions were selected based on the results of the VBM analysis. Subsequently, multiple linear regression was employed to examine whether a significant correlation existed between individual differences in aggressive positive outcome expectancy and the RSFC of seed regions with other brain regions in 304 undergraduate students. The findings indicated that aggressive positive outcome expectancy was positively correlated with GMV in the posterior cingulate cortex (PCC), right temporoparietal junction (TPJ), and medial prefrontal cortex (MPFC). Moreover, it was also positively associated with RSFC between the PCC and the left dorsolateral prefrontal cortex (DLPFC). The prediction analysis indicated robust relationships between aggressive positive outcome expectancy and the GMV in the PCC, right TPJ, as well as the RSFC between the PCC and the left DLPFC. Our research provides the initial evidence for the neural basis of positive outcome expectancy in aggression, suggesting the potential role of the PCC as a hub in its neural network.

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Section: Introductionmentioning

confidence: 95%

Neural Correlates of Positive Outcome Expectancy for Aggression: Evidence from Voxel-Based Morphometry and Resting-State Functional Connectivity Analysis

Wei,

Xia

2023

Brain Sciences

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“…Employing RS-fMRI, the current study attempted to investigate the effect of trait anxiety on risk-taking. Resting-state functional connectivity (rs-FC) has been demonstrated as an effective method for analyzing the neural basis of individual variations in risk-taking (Crone, van Duijvenvoorde, & Peper, 2016;Dewitt, Aslan, & Filbey, 2013;Huo et al, 2020;Studer, Pedroni, & Rieskamp, 2013). We assessed individuals' trait anxiety using the Trait Anxiety Inventory (T-AI).…”

Section: The Present Studymentioning

confidence: 99%

The effect of trait anxiety on risk‐taking: Functional coupling between right hippocampus and left insula

et al. 2020

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Behavioral research has found that trait anxiety is associated with a lower propensity for risk‐taking. However, the neural mechanisms underlying this relation are still unknown. To address this question, we employed voxel‐based morphometry (VBM) analysis and resting‐state functional connectivity (rs‐FC) to examine the influence of trait anxiety on risk‐taking. We theorized that trait anxiety may affect risk‐taking via negative prospection during episodic future thinking, which is known to be mediated by episodic memory systems including the hippocampus. We measured risk‐taking using the Balloon Analogue Risk Task (BART) and found that risk‐taking in this task was negatively correlated with trait anxiety. The VBM results suggested a positive correlation between trait anxiety and grey matter volumes in the hippocampus, consistent with previous results. Functional connectivity results indicated that functional connectivity between a right hippocampus cortex (RHPC) seed region and left insula (LInsula) was positively correlated with trait anxiety scores but negatively correlated with risk‐taking. Critically, mediation analysis showed that trait anxiety played a completely mediating role in the relation between the functional connectivity of RHPC‐LInsula and risk‐taking. These results suggested that trait anxiety can affect risk‐taking via episodic future thinking mechanisms subserved by the hippocampal cortex acting in concert with emotional and motivational control mechanisms subserved by the insular cortex.

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The neural substrates of how model-based learning affects risk taking: Functional coupling between right cerebellum and left caudate

Huo,

Lesage,

Dong

et al. 2023

Brain and Cognition

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The assessment dimension of regulatory mode mediates the relation between frontoparietal connectivity and risk-taking: Evidence from voxel-base morphometry and functional connectivity analysis

Cited by 4 publications

References 68 publications

Neural Correlates of Positive Outcome Expectancy for Aggression: Evidence from Voxel-Based Morphometry and Resting-State Functional Connectivity Analysis

Neural Correlates of Positive Outcome Expectancy for Aggression: Evidence from Voxel-Based Morphometry and Resting-State Functional Connectivity Analysis

The effect of trait anxiety on risk‐taking: Functional coupling between right hippocampus and left insula

The neural substrates of how model-based learning affects risk taking: Functional coupling between right cerebellum and left caudate

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