Brain-immune correlates of quality of life in adolescents with chronic musculoskeletal pain
Bibliographic record
Abstract
Chronic musculoskeletal (MSK) pain affects a substantial proportion of youth, with 5 % reporting high-impact symptoms. Chronic pain in youth leads to multifaceted negative consequences that profoundly affect adolescents' quality of life (QoL) and future outcomes. Recent studies suggest that neuro-immune interactions significantly contribute to chronic pain. However, how systemic immune dysregulation influences brain function, and how these brain changes affect well-being and functioning in chronic pain remains unclear. This study aims to examine the convergence between immune function and brain processing during a multisensory task to identify novel mechanistic pathways that may explain reduced QoL in adolescents with chronic MSK pain (N = 129). We used a multisensory fMRI task designed to mimic the unpleasant sensory experiences that adolescents and adults with chronic pain often encounter in daily life. Higher task-evoked activation in the rostral anterior cingulate and dorsomedial prefrontal cortices (rACC-dmPFC), which support threat appraisal and response regulation, was associated with lower physical QoL (pFWE = 0.005). Lower physical QoL was also associated with augmented functional connectivity between the rACC-dmPFC region and sensory processing areas in the somatosensory (pFWE = 0.002) and visual (pFWE = 0.049) cortices. Higher systemic pro-inflammatory activity in immature neutrophils was also associated with lower physical QoL (p = 0.01). Furthermore, task-evoked brain activation in the rACC-dmPFC partially mediated the relationship between neutrophil-mediated inflammatory responses and reduced physical QoL. These findings suggest a potential neuro-immune pathway through which systemic immune alterations may affect brain function and QoL in adolescents with chronic MSK pain.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".