Evaluating Orbital-Ventral Medial System Regulation of Personal Attention: A Critical Need for Neuropsychological Assessment and Intervention
Bibliographic record
Abstract
Attention to self and environment form the basis of effective social exchange and relationships. Although implicit in this basic social competency is the ability to be self-aware and responsive to the circumstances of others, many neuropsychologists have yet to understand or measure its basic functions, let alone recognize the brain-behavior relationships that govern this area. Several years ago, interest in "emotional intelligence" rose to the forefront of popular psychology, but we are still unraveling the cortical, subcortical, and neurocellular interactions that produce this nebulous construct, and we are determining how dysfunctional frontal-subcortical and cortico-cerebellar circuitry can lead to aberrant social dynamics and ultimately psychopathology when maladaptive patterns become routinized. In this article, we explore the orbital-ventral medial circuitry thought to govern emotional attention, personal self-regulation, social concern and exchange, and affective aspects of interpersonal relationships. Our examination notes both the dearth of and need for neuropsychological research on the biological basis and measurement of executive regulation of emotional attention, behavioral regulation, and social competence. We conclude with a call for development of neuropsychological measures and methods that can foster differential diagnosis and targeted treatment strategies for children with orbital-ventral medial circuit dysfunction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".