Personality traits share overlapping neuroanatomical correlates with internalizing and externalizing psychopathology
Bibliographic record
Abstract
Although personality traits have been linked to internalizing and externalizing psychopathology, the extent to which these traits and psychopathological phenotypes share a common neuroanatomical structure is unclear. To address this gap, we used structural neuroimaging and self-report data from 1101 participants in the Human Connectome Project to generate neuroanatomical profiles (NAPs) of FFM traits and psychopathology indices composed of the thickness, surface area, and gray matter volume of each region in the Desikan atlas, then used a profile matching approach to compare the absolute similarity of the FFM trait NAPs and psychopathology index NAPs. These analyses indicated that the NAPs derived from Neuroticism and Extraversion demonstrated medium to large positive and negative absolute similarities to the NAPs of internalizing psychopathology, respectively. Similarly, the NAPs of Agreeableness and Conscientiousness showed medium to large negative relations with the NAPs of antisocial behavior and substance use, respectively. These results suggest that similar neuroanatomical correlates underlie specific personality traits and symptoms of psychopathology, providing support for dimensional models that incorporate personality traits into the etiology and manifestation of psychopathology.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".