ArticleSocial cognitive and affective neuroscience2020
Robust prediction of individual personality from brain functional connectome.
Article in Social cognitive and affective neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Experience-dependent changes in functional connectome fingerprinting.Nature communications · 2026Article
- Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study.Brain structure & function · 2026Article
- Three parsimonious spatiotemporal patterns in cerebellum reveal individual traits in function and behavior.Nature communications · 2026Article
- Trait-Relevant Tasks Improve Personality Prediction From Structural-Functional Brain Network Coupling.Human brain mapping · 2026Article
- Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes.Brain research bulletin · 2026Article
- Replication challenges in linking personality to resting-state functional connectomics.Frontiers in computational neuroscience · 2026Article
- How blindness shapes personality: a neuro-ecological account.Frontiers in neuroscience · 2026Article
- Deviation From Typical Brain Activity During Naturalistic Stimulation Is Related to Personality Traits.Psychophysiology · 2025Article
- Uncovering functional connectivity patterns predictive of cognition in youth using interpretable predictive modeling.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Network Specificity in Predicting Childhood Trauma Characteristics Using Effective Connectivity.Alpha psychiatry · 2025Article
- Weak and unstable prediction of personality from the structural connectome.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The Specificity of Metacognition Questionnaire-30 Subdimensions: Findings From Connectome-Based Predictive Modeling.Depression and anxiety · 2025Article
- Network-based mapping and neurotransmitter architecture of gray matter correlates of neuroticism.Frontiers in systems neuroscience · 2025Article
- Tell me why: A scoping review on the fundamental building blocks of fMRI-based network analysis.NeuroImage. Clinical · 2025Article
- Morningness and Conscientiousness: A Meta-analysis, Online Survey and Resting fMRI Study.Journal of circadian rhythms · 2025Article
- Brain dynamics and personality: a preliminary study.AIMS neuroscience · 2024Article
- Article
- Intrinsic functional connectivity mediates the effect of personality traits on depressive symptoms.PloS one · 2024Article
- Facial attractiveness in the eyes of men with high arousal.Brain and behavior · 2023Article
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3 authors.
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Abstract
Neuroimaging studies have linked inter-individual variability in the brain to individualized personality traits. However, only one or several aspects of personality have been effectively predicted based on brain imaging features. The objective of this study was to construct a reliable prediction model of personality in a large sample by using connectome-based predictive modeling (CPM), a recently developed machine learning approach. High-quality resting-state functional magnetic resonance imaging data of 810 healthy young participants from the Human Connectome Project dataset were used to construct large-scale brain networks. Personality traits of the five-factor model (FFM) were assessed by the NEO Five Factor Inventory. We found that CPM successfully and reliably predicted all the FFM personality factors (agreeableness, openness, conscientiousness and neuroticism) other than extraversion in novel individuals. At the neural level, we found that the personality-associated functional networks mainly included brain regions within default mode, frontoparietal executive control, visual and cerebellar systems. Although different feature selection thresholds and parcellation strategies did not significantly influence the prediction results, some findings lost significance after controlling for confounds including age, gender, intelligence and head motion. Our finding of robust personality prediction from an individual's unique functional connectome may help advance the translation of 'brain connectivity fingerprinting' into real-world personality psychological settings.
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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.