Evidence map›Paper›PMID 38903397›Full record

ArticleJournal of pain research2024

Abnormal Functional Connectivity Intra- and Inter-Network in Resting-State Brain Networks of Patients with Toothache.

Yuping Zhu, Xunfu Lai, Mengting Wang, Xin Tang, Tianyi Wan, Bin Li, Xiaoming Liu, Jialin Wu, Lei He, Yulin He

Abstract read
In one paragraph

Article in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yuping ZhuDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.ORCID 0009-0004-9784-5540
Xunfu LaiDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.ORCID 0009-0009-3206-9938
Mengting WangDepartment of Radiology, Yichang Central People's Hospital, Yichang, People's Republic of China.
Xin TangDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Tianyi WanDepartment of Radiology, Jiangxi Provincial People's Hospital, Nanchang, People's Republic of China.
Bin LiDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Xiaoming LiuDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Jialin WuDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Lei HeDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Yulin HeDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To separate the resting-state network of patients with dental pain using independent component analysis (ICA) and analyze abnormal changes in functional connectivity within as well as between the networks. Patients and Methods: Twenty-three patients with dental pain and 30 healthy controls participated in this study. We extracted the resting-state functional network components of both using ICA. Functional connectivity differences within 14 resting-state brain networks were analyzed at the voxel level. Directional interactions between networks were analyzed using Granger causality analysis. Subsequently, functional connectivity values and causal coefficients were assessed for correlations with clinical parameters. Results: Compared to healthy controls, we found enhanced functional connectivity in the left superior temporal gyrus of anterior protrusion network and the right Rolandic operculum of auditory network in patients with dental pain (p<0.01 and cluster-level p<0.05, Gaussian random field corrected). In contrast, functional connectivity of the right precuneus in the precuneus network was reduced, and were significantly as well as negatively correlated to those of the Visual Analogue Scale (r=-4.93, p=0.017), Hamilton Anxiety Scale (r=-0.46, p=0.027), and Hamilton Depression Scale (r=-0.563, p<0.01), using the Spearman correlation analysis. Regarding the causal relationship between resting-state brain networks, we found increased connectivity from the language network to the precuneus in patients with dental pain (p<0.05, false discovery rate corrected). However, the increase in causal coefficients from the verbal network to the precuneus network was independent of clinical parameters. Conclusion: Patients with toothache exhibited abnormal functional changes in cognitive-emotion-related brain networks, such as the salience, auditory, and precuneus networks, thereby offering a new imaging basis for understanding central neural mechanisms in dental pain patients.

Indexed as

Granger causalityindependent component analysisresting-state networkstoothache

Identifiers

PMID38903397
PMCPMC11189307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.