ArticleThe journal of headache and pain2025
Neural oscillation mechanisms of repetitive subconcussive impacts: a network study of microstate-specific cross-frequency coupling.
Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Untangling cross-regional cross-frequency coupling in dynamic neural oscillations.Journal of neural engineering · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors.
Funding
Abstract
backgroundRepetitive subconcussive impacts are linked to headache pathophysiology, yet the role of electroencephalography (EEG) microstates and cross-frequency coupling in repetitive subconcussive (SC) neural alterations remains unclear. This study investigated microstate-specific cross-frequency coupling network (MCFCN) abnormalities in SC-exposed individuals to uncover mechanisms underlying headache vulnerability.
methodsResting-state EEG was recorded from 16 experienced male parachuters aged 18-25 years (SC group) and 16 demographically matched healthy male controls of the same age range (HC group). Microstate analysis (four canonical classes: A-D) and cross-frequency coupling (CFC) interactions (n: m) phase synchronization index, PSI) were computed to construct the MCFCNs. The MCFCNs were evaluated using machine learning (LightGBM classifier) to discriminate between the two groups, with key features identified by SHAP values and corrected for multiple comparisons.
resultsSC-exposed individuals exhibited MCFCN disruptions in large-scale networks. Notably, reduced delta/theta to alpha/beta coupling was observed in microstates A, C, and D, except for an increase in delta-band coupling from the default mode network (DMN) to the frontoparietal network (FPN) in microstate A. These alterations involved emotional-motor integration, attentional control, and self-referential processing. LightGBM models achieved significant group discrimination, with SHAP analysis highlighting theta-DMN, beta-SMN, and delta-LIM as critical nodes.
conclusionsSC exposure induces MCFCNs abnormalities resembling central pain syndromes, even in the absence of overt symptoms. These findings suggest that interactions within MCFCNs may serve as potential early biomarkers for headache vulnerability and chronicity, warranting further exploration in longitudinal studies and targeted neurointerventions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.