Evidence map›Paper›PMID 41387880›Full record

ArticleBMC medicine2025

Network dysfunction underlying verbal fluency deficits in newly diagnosed epilepsy: a resting-state fMRI functional connectivity study.

Fangzhou Liu, Ping Jiang, Ge Tan, Xiuli Li, Deng Chen, Yingchun Xu, Zixian Zhou, Qiyong Gong, Ling Liu

Abstract read
In one paragraph

Article in BMC medicine, 2025. 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

9 authors.

Fangzhou Liu *Department of Neurology, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China.
Ping Jiang *Department of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Ge TanMental Health Center, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China.
Xiuli LiDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Deng ChenDepartment of Neurology, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China.
Yingchun XuDepartment of Neurology, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China.
Zixian ZhouDepartment of Neurology, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China.
Qiyong GongDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institution of Radiology and Medical Imaging, West China Hospital of Sichuan University, Chengdu, Sichuan, China. qiyonggong@hmrrc.org.cn.
Ling LiuDepartment of Neurology, West China Hospital of Sichuan University, 37# Guoxue Lane, Chengdu, Sichuan, 610041, China. neurologyliuling@163.com.

Funding

National Natural Science Foundation of China 82301640the 1·3·5 Project for Artificial Intelligence of West China Hospital of Sichuan University No. ZYAI24032the 1·3·5 project for disciplines of excellence-Clinical Research Fund, West China Hospital of Sichuan University 2024HXFH044the Science & Technology Department of Sichuan Province 2024YFHZ0057
6 · The paper itself

Abstract

backgroundVerbal fluency impairment is a common cognitive deficit in epilepsy that further increases the burden of the disease. Current anti-seizure medications mainly target seizure control but rarely improve cognition and may even worsen it in the patients. Neuromodulation has shown potential to control seizures and improve cognition simultaneously by stimulating specific nuclei or neural circuits, but the precise targets for verbal fluency deficits remain unclear, particularly in patients unaffected by anti-seizure medication. Therefore, investigating the neural mechanisms in newly diagnosed epilepsy (NDE) patients is essential for developing targeted interventions. This study aimed to explore brain network abnormalities and their relationship with verbal fluency deficits in NDE patients.

methodsOne hundred NDE patients and 54 matched healthy controls were recruited and underwent resting-state functional magnetic resonance imaging (fMRI). Independent component analysis was used to assess whole-brain network functional connectivity (FC). Verbal fluency was evaluated using character and semantic verbal fluency tests (VFTs). Correlation and mediation analyses were conducted to examine the relationships among clinical features, verbal fluency, and FC.

resultsCompared with healthy controls, NDE patients exhibited hypo-intra-network FC in the medial visual, auditory, and lateral sensorimotor networks. Correlation analysis showed that FC in the left auditory network, including the left inferior frontal gyrus (IFG) and superior temporal gyrus (STG), was significantly associated with the VFT scores in the NDE patients. Notably, the FC of IFG and STG within the left auditory network mediated the relationship between seizure frequency and verbal fluency deficits.

conclusionsThese findings indicate that NDE patients exhibit widespread dysfunction in perceptual networks. Abnormal FC of IFG and STG within the left auditory network serves as a neural substrate linking seizure burden to verbal fluency deficits. These insights provide a foundation for future interventions targeting network-level dysfunction in patients with epilepsy.

Indexed as

BrainEpilepsyMagnetic Resonance ImagingNerve NetAdultCase-Control StudiesFemaleHumansMaleMiddle AgedVerbal BehaviorYoung AdultFunctional connectivityIndependent component analysisNewly diagnosed epilepsyResting-state fMRIVerbal fluency test

Identifiers

PMID41387880
PMCPMC12817765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.