Cortical morphometry of the five-factor model of personality: Findings from the Human Connectome Project full sample
Bibliographic record
Abstract
This study is a conceptual replication of an existing large study (N = 507) on the surface-based morphometric correlates of Five-Factor Model (FFM) personality traits. Using another large sample drawn from the same population (N = 597), results were aggregated from both samples (N = 1104), providing the largest investigation into the neuroanatomical correlates of FFM personality traits to date. Multiple clusters of significant brain by personality associations were found in the aggregate sample, including one for Openness with cortical thickness in the left and right dorsolateral prefrontal cortex (DLPFC), one for Agreeableness with thickness in the left DLPFC, and one for Agreeableness with area and volume in the right DLPFC. Clusters were also found for Neuroticism with cortical surface area in the right DLPFC, for Neuroticism with cortical thickness in the DLPFC and medial prefrontal cortex, and for Neuroticism with area and volume in the cuneus. While many regions found in the prior study were confirmed in the new and full samples, others were not, highlighting the challenges in replicating even high-quality, well-powered studies. As a whole, the current results provide the strongest evidence to date on the neuroanatomical correlates of personality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".