Evidence map›Paper›PMID 39350628›Full record

ArticleBrain and behavior2024

Brain imaging traits and epilepsy: Unraveling causal links via mendelian randomization.

Fangyan Li, Maowen Tang, Cheng Hao, Menghua Yang, Yue Pan, Pinggui Lei

Abstract read
In one paragraph

Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
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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.

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

6 authors.

Fangyan LiDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Maowen TangDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Cheng HaoDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Menghua YangDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Yue PanDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Pinggui LeiDepartment of Radiology, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID https://orcid.org/0000-0001-7610-0292

Funding

the Excellent Reserve Talents Funding within the Discipline at the Affiliated Hospital of Guizhou Medical University gyfyxkyc-2023-13the Guizhou Province High-level Innovative Talent Program gzwjrs-2023-019the Guizhou Provincial Science and Technology Projects Qiankehejichu-ZK[2023]353the National Natural Science Foundation of China Cultivation Project facilitated by The Affiliated of Guizhou Medical University gyfynsfc[2023]-03
6 · The paper itself

Abstract

backgroundEpilepsy, a complex neurological disorder, is closely linked with structural and functional irregularities in the brain. However, the causal relationship between brain imaging-derived phenotypes (IDPs) and epilepsy remains unclear. This study aimed to investigate this relationship by employing a two-sample bidirectional Mendelian randomization (MR) approach.

methodsThe analysis involved 3935 cerebral IDPs from the UK Biobank and all documented cases of epilepsy (all epilepsies) cohorts from the International League Against Epilepsy, with further validation through replication and meta-analyses using epilepsy Genome-Wide Association Studies datasets from the FinnGen database. Additionally, a multivariate MR analysis framework was utilized to assess the direct impact of IDPs on all epilepsies. Furthermore, we performed a bidirectional MR analysis to investigate the relationship between the IDPs identified in all epilepsies and the 15 specific subtypes of epilepsy.

resultsThe study identified significant causal links between four IDPs and epilepsy risk. Decreased fractional anisotropy in the left inferior longitudinal fasciculus was associated with a higher risk of epilepsy (odds ratio [OR]: 0.89, p = 3.31×10

conclusionsOur research offers genetic evidence for a causal link between brain IDPs and epilepsy. These results enhance our understanding of the structural brain changes associated with the onset and progression of epilepsy.

Indexed as

EpilepsyMendelian Randomization AnalysisAdultBrainFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingPhenotypeepilepsyimaging‐derived phenotypesmagnetic resonance imagingMendelian randomization

Identifiers

PMID39350628
PMCPMC11442987

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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.