Evidence map›Paper›PMID 35674920›Full record

ArticleBrain imaging and behavior2022

Brain structural connectivity sub typing in unilateral temporal lobe epilepsy.

Zhensheng Li, Che Jiang, Wei Xiang, Zijuan Qi, Quwen Gao, Kairun Peng, Jian Lin, Wei Wang, Weimin Wang, Bingmei Deng

Abstract read
PubMed Publisher
In one paragraph

Article in Brain imaging and behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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 at 3 institutions in 1 country.

Zhensheng LiDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Che JiangDepartment of Neurosurgery, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Wei XiangDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Zijuan QiDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Quwen GaoDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Kairun PengDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Jian LinDepartment of Neurosurgery, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China.
Wei WangDepartment of Neurosurgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, China.
Weimin WangDepartment of Neurosurgery, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China. Wangweimin88@hotmail.com.ORCID http://orcid.org/0000-0001-6484-3259
Bingmei DengDepartment of Neurology, General Hospital of Southern Theater Command, No. 111 of Liuhua Road, Yuexiu District, Guangzhou, 510010, China. bingmeid@163.com.
Sun Yat-sen University · CNThird Affiliated Hospital of Southern Medical University · CNGeneral Hospital of Guangzhou Military Command · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To categorize and clinically characterize subtypes of brain structural connectivity patterns in unilateral temporal lobe epilepsy (TLE). Voxel based morphometry (VBM) and surfaced based morphometry (SBM) analysis were used to detect brain structural alterations associated with TLE from MRI data. Principal component analysis (PCA) was performed to identify subtypes of brain structural connectivity patterns. Correlation analysis was used to explore associations between PC scores and clinical characteristics. A total of 59 patients with TLE and 100 healthy adults were included in this study. Widespread cortical atrophy was shown in both left and right TLE (P < 0.05, FWE corrected). Six principal components (PCs) that explained more than 70% of the variance were extracted for left and right TLE, reflecting patterns of brain structural connectivity. PCs representing perisylvian connectivity were positively correlated with verbal IQ (left TLE: r = 0.696, P < 0.001; right TLE: r = 0.484, P = 0.012) and total IQ (left TLE r = 0.608, P < 0.001) and negatively correlated with disease duration (r = -0.448, P = 0.009). In left TLE, the PC in the ipsilateral mesial temporal region was negatively correlated with age at onset (r = -0.382, P = 0.028). In right TLE, the PC representing the default mode network was negatively correlated with number of antiepileptic drugs (r = -0.407, P = 0.039). This study categorized subtypes of unilateral TLE based on brain structural connectivity patterns. Findings may provide insight into seizure pathways, the pathophysiology of epilepsy, including comorbidities such as cognitive impairment, and help predict treatment outcomes.

Indexed as

Epilepsy, Temporal LobeAdultAnticonvulsantsBrainHippocampusHumansMagnetic Resonance ImagingTemporal LobeAnticonvulsantsBrain structural connectivitySub typingTemporal lobe epilepsy

Identifiers

PMID35674920
OpenAlexW4281663030

What OpenQuestion holds

Textmetadata
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.