A network of face patches in human prefrontal cortex for social processing of faces
Bibliographic record
Abstract
ABSTRACT The human cerebral cortex contains localized regions for processing faces. These regions or patches, which are classically found in the occipito-temporal cortex, encode visual properties of faces. Using naturalistic movie-watching fMRI data from 176 human subjects and multivariate functional connectivity analysis, here we comprehensively characterize a novel network of four frontal face patches (FFPs) arranged dorsoventrally in the lateral prefrontal cortex. FFPs are strongly coupled with a face-selective region in the middle superior temporal sulcus, appear to be primarily involved in processing high-level social aspects of faces during movie-watching, and show partial correlations of activity with distinct cognitive networks. Activations in FFPs are correlated with the performance of subjects in a social cognition task. We further identify two groups of subjects who showed a remarkable difference in the topographical organization of FFPs. The discovery of FFPs provides new insights into the understanding of social processing in the brain.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".