ArticleMolecular pain
Exploring frequency-dependent and dynamic changes in brain connectivity of chronic back pain patients using degree centrality analysis.
Article in Molecular pain. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundChronic Back Pain (CBP) may lead to a reorganization of brain function, which can be observed through the indicator of degree centrality (DC). Traditional pain research has predominantly focused on static measurements of brain function within classical frequency bands, which may not fully capture the complexities of chronic pain. This study not only employed static frequency division but also incorporated dynamic analyses to capture the evolving nature of brain activity in chronic pain conditions.
methodsThis study included a total of 31 patients with CBP and 33 age- and gender-matched healthy controls. Spontaneous brain activity was investigated by traditional DC, DC in subfrequency bands (slow-5, slow-4) and dynamic DC (dDC). Differences in brain regions between the two groups were obtained using two-sample
resultsCompared to classical frequency band, the number of brain regions with changes in DC values in the slow-5 frequency band is greater. The right angular gyrus was found in both the slow-5 frequency band and the classical frequency band, while the left putamen was only found in the slow-5 frequency band. The dDC values were changed in left hippocampus, and right putamen, which were all different from the brain regions that the static DC (sDC) value altered.
conclusionThis study demonstrates that incorporating frequency and dynamic analysis in addition to traditional DC metrics can better understand the functional characteristics of the brain in CBP.
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.