Longitudinal alterations in brain networks and thalamocortical connectivity in paediatric focal epilepsy: a structural connectomics pilot study.

IF 4.1 Q1 CLINICAL NEUROLOGY Brain communications Pub Date : 2025-02-27 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcaf081
Aswin Chari, Rory J Piper, Rachel Wilson-Jeffers, Michelle Ruiz-Perez, Kiran Seunarine, M Zubair Tahir, Chris A Clark, Richard Rosch, Rod C Scott, Torsten Baldeweg, Martin M Tisdall
{"title":"Longitudinal alterations in brain networks and thalamocortical connectivity in paediatric focal epilepsy: a structural connectomics pilot study.","authors":"Aswin Chari, Rory J Piper, Rachel Wilson-Jeffers, Michelle Ruiz-Perez, Kiran Seunarine, M Zubair Tahir, Chris A Clark, Richard Rosch, Rod C Scott, Torsten Baldeweg, Martin M Tisdall","doi":"10.1093/braincomms/fcaf081","DOIUrl":null,"url":null,"abstract":"<p><p>Epilepsy is an archetypal brain network disorder characterized by recurrent seizures and associated psychological, cognitive and behavioural sequelae. Progressive brain network dysfunction may contribute to poorer outcomes following treatment, but this has never been tested in humans. In this structural connectomics pilot study, we assess whether there is progressive brain network dysfunction in a cohort of 23 children undergoing repeated multi-shell diffusion tensor imaging as part of their pre-surgical evaluation of focal epilepsy prior to epilepsy surgery. We analyse global and nodal graph metrics and thalamocortical connectivity, comparing the longitudinal changes to a cross-sectional cohort of 57 healthy controls. We identify no robust longitudinal changes in global or nodal network properties over a median of 1.15 years between scans. We also do not identify robust longitudinal changes in thalamic connectivity between scans. On sensitivity analyses, we identify increases in weighted degree at higher scales of brain parcellation and a decrease in the proportion of nodes with a low participation coefficient, suggesting progressive increases in intermodular connections. These findings of no or subtle structural longitudinal brain network changes over a relatively short timeframe indicate that either there are no progressive structural brain network changes over time in epilepsy or the changes appear over longer timescales. Larger studies with longer timeframes between scans may help clarify these findings.</p>","PeriodicalId":93915,"journal":{"name":"Brain communications","volume":"7 1","pages":"fcaf081"},"PeriodicalIF":4.1000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11878571/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/braincomms/fcaf081","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Epilepsy is an archetypal brain network disorder characterized by recurrent seizures and associated psychological, cognitive and behavioural sequelae. Progressive brain network dysfunction may contribute to poorer outcomes following treatment, but this has never been tested in humans. In this structural connectomics pilot study, we assess whether there is progressive brain network dysfunction in a cohort of 23 children undergoing repeated multi-shell diffusion tensor imaging as part of their pre-surgical evaluation of focal epilepsy prior to epilepsy surgery. We analyse global and nodal graph metrics and thalamocortical connectivity, comparing the longitudinal changes to a cross-sectional cohort of 57 healthy controls. We identify no robust longitudinal changes in global or nodal network properties over a median of 1.15 years between scans. We also do not identify robust longitudinal changes in thalamic connectivity between scans. On sensitivity analyses, we identify increases in weighted degree at higher scales of brain parcellation and a decrease in the proportion of nodes with a low participation coefficient, suggesting progressive increases in intermodular connections. These findings of no or subtle structural longitudinal brain network changes over a relatively short timeframe indicate that either there are no progressive structural brain network changes over time in epilepsy or the changes appear over longer timescales. Larger studies with longer timeframes between scans may help clarify these findings.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.00
自引率
0.00%
发文量
0
审稿时长
6 weeks
期刊最新文献
Phantom limb experience after brachial plexus anaesthesia. Phase 2 study of palmitoylethanolamide combined with luteoline in frontotemporal dementia patients. Sleep on it! Correction to: The role of brain white matter in depression resilience and response to sleep interventions. Longitudinal alterations in brain networks and thalamocortical connectivity in paediatric focal epilepsy: a structural connectomics pilot study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1