ArticleHuman brain mapping2019
Connectome-based model predicts individual differences in propensity to trust.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 40 citations in OpenAlex.
- Trust Emerges From Shared Attention: Behavioural and Neural Evidence From Dual EEG Hyperscanning.Human brain mapping · 2026Article
- Impaired cooperation and prosocial learning during trust game in behavioral variant frontotemporal dementia.Journal of Alzheimer's disease : JAD · 2025Article
- Neurocomputational Substrates Underlying the Effect of Identifiability on Third-Party Punishment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- The connectome-based prediction of trust propensity in older adults: A resting-state functional magnetic resonance imaging study.Human brain mapping · 2023Article
- Enhancing the network specific individual characteristics in rs-fMRI functional connectivity by dictionary learning.Human brain mapping · 2023Article
- Intrinsic brain activity patterns across large-scale networks predict reciprocity propensity.Human brain mapping · 2022Article
- Connectome-based predictive models using resting-state fMRI for studying brain aging.Experimental brain research · 2022Article
- Predicting the Degree of Distracted Driving Based on fNIRS Functional Connectivity: A Pilot Study.Frontiers in neuroergonomics · 2022Article
- Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment.Cognitive, affective & behavioral neuroscience · 2021Article
- The functional connectome predicts feeling of stress on regular days and during the COVID-19 pandemic.Neurobiology of stress · 2021Article
- Connectome-based prediction of brain age in Rolandic epilepsy: a protocol for a multicenter cross-sectional study.Annals of translational medicine · 2021Article
- Prediction of trust propensity from intrinsic brain morphology and functional connectome.Human brain mapping · 2021Article
- Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.Biological psychiatry · 2020Review
- Connectome-based model predicts individual differences in propensity to trust.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 4 countries.
Funding
Abstract
Trust constitutes a fundamental basis of human society and plays a pivotal role in almost every aspect of human relationships. Although enormous interest exists in determining the neuropsychological underpinnings of a person's propensity to trust utilizing task-based fMRI; however, little progress has been made in predicting its variations by task-free fMRI based on whole-brain resting-state functional connectivity (RSFC). Here, we combined a one-shot trust game with a connectome-based predictive modeling approach to predict propensity to trust from whole-brain RSFC. We demonstrated that individual variations in the propensity to trust were primarily predicted by RSFC rooted in the functional integration of distributed key nodes-caudate, amygdala, lateral prefrontal cortex, temporal-parietal junction, and the temporal pole-which are part of domain-general large-scale networks essential for the motivational, affective, and cognitive aspects of trust. We showed, further, that the identified brain-behavior associations were only evident for trust but not altruistic preferences and that propensity to trust (and its underlying neural underpinnings) were modulated according to the extent to which a person emphasizes general social preferences (i.e., horizontal collectivism) rather than general risk preferences (i.e., trait impulsiveness). In conclusion, the employed data-driven approach enables to predict propensity to trust from RSFC and highlights its potential use as an objective neuromarker of trust impairment in mental disorders.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.