ArticleHuman brain mapping2018
Individualized prediction of trait narcissism from whole-brain resting-state functional connectivity.
Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 82 citations in OpenAlex.
- Neural fingerprint of the dark triad: Resting state BOLD power (fALFF) alterations in executive and default mode networks.Cognitive, affective & behavioral neuroscience · 2026Article
- Mapping trait justice sensitivity in the Brain: Whole-brain resting-state functional connectivity as a predictor of other-oriented not self-oriented justice sensitivity.Cognitive, affective & behavioral neuroscience · 2025Article
- Two subtypes of major depressive disorder are identified from individualized gray matter morphological abnormalities in a large multi-site dataset.Psychological medicine · 2025Article
- Narcissistic and Antisocial Personality Traits Are Both Encoded in the Triple Network: Connectomics Evidence.Psychophysiology · 2025Article
- Prediction of alcohol intake patterns with olfactory and gustatory brain connectivity networks.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025Article
- Event cache: An independent component in working memory.Science advances · 2025Article
- Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking.Quantitative imaging in medicine and surgery · 2025Article
- Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Functional Networks of Reward and Punishment Processing and Their Molecular Profiles Predicting the Severity of Young Adult Drinking.Brain sciences · 2024Article
- Connectome-based predictive modeling of Internet addiction symptomatology.Social cognitive and affective neuroscience · 2024Article
- Individual differences in the neural architecture in semantic processing.Scientific reports · 2024Article
- Vitamin D and focal brain atrophy in PD with non-dementia: a VBM study.Frontiers in human neuroscience · 2024Article
- Generative dynamical models for classification of rsfMRI data.Network neuroscience (Cambridge, Mass.) · 2024Article
- 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 Neural Correlates of Narcissism: Is There a Connection with Desire for Fame and Celebrity Worship?Brain sciences · 2023Review
- The connectome-based prediction of trust propensity in older adults: A resting-state functional magnetic resonance imaging study.Human brain mapping · 2023Article
- Temperament & Character account for brain functional connectivity at rest: A diathesis-stress model of functional dysregulation in psychosis.Molecular psychiatry · 2023Review
- Individual differences in the language task-evoked and resting-state functional networks.Frontiers in human neuroscience · 2023Article
- Multivariate morphological brain signatures enable individualized prediction of dispositional need for closure.Brain imaging and behavior · 2022Article
- An electroencephalography connectome predictive model of major depressive disorder severity.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Narcissism is one of the most fundamental personality traits in which individuals in general population exhibit a large heterogeneity. Despite a surge of interest in examining behavioral characteristics of narcissism in the past decades, the neurobiological substrates underlying narcissism remain poorly understood. Here, we addressed this issue by applying a machine learning approach to decode trait narcissism from whole-brain resting-state functional connectivity (RSFC). Resting-state functional MRI (fMRI) data were acquired for a large sample comprising 155 healthy adults, each of whom was assessed for trait narcissism. Using a linear prediction model, we examined the relationship between whole-brain RSFC and trait narcissism. We demonstrated that the machine-learning model was able to decode individual trait narcissism from RSFC across multiple neural systems, including functional connectivity between and within limbic and prefrontal systems as well as their connectivity with other networks. Key nodes that contributed to the prediction model included the amygdala, prefrontal and anterior cingulate regions that have been linked to trait narcissism. These findings remained robust using different validation procedures. Our findings thus demonstrate that RSFC among multiple neural systems predicts trait narcissism at the individual level.
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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.