Bibliographic record
Abstract
Objectives: Findings from animal models have been instrumental in elucidating the mechanisms and etiology of panic disorder (PD); nonetheless, several aspects of its neurobiological underpinnings remain to be fully clarified. This review aims to consolidate current understanding and recent advances in the neuroanatomical and pathophysiological basis of PD. Method: A narrative review was conducted, drawing on recent literature addressing the neurobiology and neuroanatomy of PD, with a particular focus on fear circuits as elucidated by both preclinical and clinical studies. Results: This updated review further delineates the fear circuitry implicated in PD, emphasizing the roles of the amygdala, thalamus, hippocampus, insula, and prefrontal cortex in the mediation of pathological fear responses. Conclusion: Continued research involving human populations is essential to refine current models of fear circuitry in PD. Such efforts may yield critical insights that support the development of evidence-based therapeutic strategies aimed at re-establishing disrupted homeostatic processes that have been disrupted by the activation of the brain's fear circuitry.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".