Altered cortical alpha modulations and connectivity in complex regional pain syndrome
Bibliographic record
Abstract
Chronic pain alters resting-state cerebral alpha rhythms (8-12 Hz), including whole-brain slowing of peak alpha frequency (PAF). Nevertheless, how the power of brain activity at PAF (PAF power) or across the entire alpha frequency range (alpha power) is decreased or increased compared to healthy controls (HC) varies greatly across pain phenotypes. The brain regions exhibiting such alterations and their association with the pain severity experienced by patients are also unclear. The study addressed this question in participants experiencing complex regional pain syndrome (CRPS; 19 females and 10 males) against pain-free HC (14 females and 15 males). Resting-state magnetoencephalography imaging was used to estimate the power spectral density of neurophysiological activity across the cortex to identify group differences in alpha activity. The study found decreased alpha power and slower PAF in patients with CRPS, especially over bilateral posteromedial regions including the precuneus, paracentral and superior parietal cortices. In CRPS, pain severity was associated with the suppression of PAF power in the medial and lateral prefrontal cortex (PFC) and orbitofrontal cortex (OFC). Furthermore, the same PFC and OFC areas showed increased interregional alpha-band functional connectivity in patients with CRPS. Although the greatest pain-related alpha alterations mapped to sensory-discriminative areas, including the posteromedial cortex, PFC alpha activity encoded subjective CRPS pain severity. Hyperconnectivity between medial PFC and OFC further emphasized the affective-motivational nature of CRPS pain. Overall, these findings highlight the multiple functional roles of alpha activity in nociplastic conditions such as CRPS and provide potential targets for neuromodulatory interventions. PERSPECTIVE: Complex regional pain syndrome (CRPS) is a debilitating disorder driven by altered brain processes. The authors characterize deviations in alpha brain activity in CRPS compared to healthy controls which could inform the development of novel neuromodulation therapies.
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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 | 0.001 | 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) | 0.001 | 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".