Evidence map›Paper›PMID 37214387›Full record

ArticleFrontiers in neuroscience2023

Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy.

Yin Liu, Quanji Li, Dali Yi, Junhong Duan, Qingxia Zhang, Yunchen Huang, Haibo He, Yunjie Liao, Zhi Song, Lingling Deng and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

12 authors at 3 institutions in 1 country.

Yin LiuDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Quanji LiDepartment of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China.
Dali YiDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Junhong DuanDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Qingxia ZhangDepartment of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China.
Yunchen HuangDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Haibo HeDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Yunjie LiaoDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Zhi SongDepartment of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China.
Lingling DengDepartment of Radiology, The Second Affiliated Hospital, University of South China, Hengyang, China.
Wei WangDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Ding LiuDepartment of Neurology, The Third Xiangya Hospital, Central South University, Changsha, China.
Third Xiangya Hospital · CNCentral South University · CNUniversity of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Frontal lobe epilepsy (FLE) is the second most common type of focal epilepsy, however, imaging studies of FLE have been far less than Temporal lobe epilepsy (TLE) and the structural findings were not consistent in previous literature. Object: Investigate the changes in cortical thickness in patients with FLE and the alteration of the structural covariance networks (SCNs) of cortical thickness with graph-theory. Method: Thirty patients with FLE (18 males/12 females; 28.33 ± 11.81 years) and 27 demographically matched controls (15 males/12 females; 29.22 ± 9.73 years) were included in this study with high-resolution structural brain MRI scans. The cortical thickness was calculated, and structural covariance network (SCN) of cortical thickness were reconstructed using 68 × 68 matrix and analyzed with graph-theory approach. Result: Cortical thickness was not significantly different between two groups, but path length and node betweenness were significantly increased in patients with FLE, and the regional network alterations were significantly changed in right precentral gyrus and right temporal pole (FDR corrected, Conclusion: The topological properties of cortical thickness covariance network were significantly altered in patients with FLE, even without obvious surface-based morphological damage. Graph-theory based SCN analysis may provide sensitive neuroanatomical biomarkers for FLE.

Indexed as

cortical thicknessdefault mode network (DMN)frontal lobe epilepsygraph theorystructural covariance network

Identifiers

PMID37214387
PMCPMC10196002
OpenAlexW4377564500

What OpenQuestion holds

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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.