Evidence map›Paper›PMID 39474760›Full record

ArticleEpilepsia open2024

The causal relationship of DTI phenotypes and epilepsy: A two sample mendelian randomization study.

Shang Feng, Shaobin Huang, Zhiguo Lin

Abstract read
In one paragraph

Article in Epilepsia open, 2024. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shang FengCollege of Computer Science and Technology, Harbin Engineering University, Harbin, China.ORCID https://orcid.org/0000-0003-1630-4044
Shaobin HuangCollege of Computer Science and Technology, Harbin Engineering University, Harbin, China.
Zhiguo LinDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

Fundamental Research Funds for the Central Universities 3072024CFJ0602National Natural Science Foundation of China U20A20383
6 · The paper itself

Abstract

objectiveClinical studies indicated a link between DTI imaging characteristics and epilepsy, but the causality of this connection had not been established. Therefore, we employed the Mendelian randomization analysis method to determine the causal relationship between DTI imaging characteristics and epilepsy.

methodWe used Mendelian randomization analysis to identify the causal relationship between brain structure and the risk of epilepsy. GWAS data of DTI phenotypes, focal epilepsy, and genetic generalized epilepsy (GGE) were utilized in the analysis.

resultsOur study found that DTI imaging phenotypes had a causal risk relationship with epilepsy. These phenotypes had a statistical impact on the risk of epilepsy seizures. There were differences in DTI phenotype causality between GGE and focal epilepsy, which were associated with the clinical phenotype differences of the two types of epilepsy. SIGNIFICANCE: Our study demonstrated that the diagnosis of subtypes could be assisted by comparing the differences in DTI phenotypes of specific brain regions. This meant that by studying the changes in brain regions before the onset of epilepsy, we might be able to intervene in epilepsy at an earlier stage. PLAIN LANGUAGE SUMMARY: Our study used Mendelian randomization to explore the causal relationship between brain structure, as seen in DTI imaging, and epilepsy. We found that specific DTI phenotypes are linked to an increased risk of epilepsy seizures, with notable differences between genetic generalized epilepsy and focal epilepsy. This suggested that analyzing DTI phenotypes could help in diagnosing and potentially intervening in epilepsy earlier by finding brain changes before seizures begin.

Indexed as

Diffusion Tensor ImagingEpilepsyMendelian Randomization AnalysisPhenotypeBrainEpilepsies, PartialEpilepsy, GeneralizedGenome-Wide Association StudyHumansdiffusion tensor imagingfocal epilepsygenetic generalized epilepsygenetic variantsmendelian randomization

Identifiers

PMID39474760
PMCPMC11633714

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