A body-brain (dis)equilibrium regulating transitions from health to pathology
Bibliographic record
Abstract
Recent empirical evidence and theoretical propositions motivate a paradigm shift in how we investigate neurocognitive functions. Rather than looking at the brain-behaviour relationship in isolation, research shows that cognition is shaped by reciprocal, dynamical interactions between the brain and the body across multiple timescales: from ultra-slow circadian rhythm to gastrointestinal and cardiorespiratory activity. This interest in body-brain-behaviour dynamics has raised new questions about if and how autonomic functioning, the coordination of intero- and exteroception, lifestyle and dietary choices, gut microbiome composition, hormonal cycles, and inflammation can impact behaviour, general health and well-being. We carefully reviewed existing theoretical accounts and empirical evidence on the body-brain-behaviour interface and delineated new emerging avenues for multimodal, functional, ecologically valid, and personalized research that also integrates smart sensing technologies. In a synopsis, we propose the concept of a body-brain (dis)equilibrium regulating transitions from health to pathology.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".