• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

癫痫患者发作频率和偏侧性对颞叶癫痫颞叶内有效连接的交互影响。

Interactive effects of seizure frequency and lateralization on intratemporal effective connectivity in temporal lobe epilepsy.

机构信息

Department of Neurology, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, South Korea.

Department of Medical Science, Ewha Womans University School of Medicine and Ewha Medical Research Institute, Seoul, South Korea.

出版信息

Epilepsia. 2018 Jan;59(1):215-225. doi: 10.1111/epi.13951. Epub 2017 Dec 4.

DOI:10.1111/epi.13951
PMID:29205291
Abstract

OBJECTIVE

Patients with temporal lobe epilepsy (TLE) show brain connectivity changes in association with cognitive impairment. Seizure frequency and lateralization are 2 important clinical factors that characterize epileptic seizures. In this study, we sought to examine an interactive effect of the 2 seizure factors on intratemporal effective connectivity based on resting-state functional magnetic resonance imaging (rsfMRI) in patients with TLE.

METHODS

For rsfMRI data acquired from 48 TLE patients and 45 healthy controls, we applied stochastic dynamical causal modeling to infer effective connectivity between 3 medial temporal lobe (MTL) regions, including the hippocampus (Hipp), parahippocampal gyrus (PHG), and amygdala (Amyg), ipsilateral to the seizure focus. We searched for the effect of the 2 seizure factors, seizure frequency (good vs poor seizure control) and lateralization (left vs right TLE), on connection strengths and their relationship with the level of verbal memory and language impairment.

RESULTS

Impairment of verbal memory and language function was mainly affected by seizure lateralization, consistent with preferential involvement of the left MTL in verbal mnemonic processing. For the fully connected model, which was selected as the effective connectivity structure that best explained the observed rsfMRI time series, alterations in connection strengths were primarily influenced by seizure frequency; there was an increase in the strength of the Hipp to PHG connection in TLE patients with poor seizure control, whereas the strength of the Amyg to PHG connection increased in those with good seizure control. Furthermore, the association between connection strength alterations and cognitive impairment was interactively affected by both seizure frequency and lateralization.

SIGNIFICANCE

These findings suggest an interactive effect as well as an individual effect of seizure frequency and lateralization on neuroimaging features and cognitive function. This potential interaction needs to be evaluated in the consideration of multiple seizure factors.

摘要

目的

颞叶癫痫(TLE)患者存在与认知障碍相关的脑连接变化。发作频率和偏侧化是描述癫痫发作的两个重要临床因素。在这项研究中,我们试图通过 TLE 患者的静息态功能磁共振成像(rsfMRI)来检查这两个发作因素对颞叶内侧(MTL)三个区域(包括海马(Hipp)、旁海马回(PHG)和杏仁核(Amyg))之间的内在时间有效连接的交互影响。

方法

对于从 48 名 TLE 患者和 45 名健康对照者采集的 rsfMRI 数据,我们应用随机动力学因果建模来推断与致痫灶同侧的 3 个 MTL 区域(包括 Hipp、PHG 和 Amyg)之间的有效连接。我们搜索了两个发作因素(发作频率(控制良好 vs 控制不佳)和偏侧化(左 vs 右 TLE))对连接强度及其与言语记忆和语言障碍程度的关系的影响。

结果

言语记忆和语言功能的损伤主要受发作偏侧化的影响,这与左 MTL 优先参与言语记忆加工相一致。对于完全连接模型,其被选为最佳解释观察到的 rsfMRI 时间序列的有效连接结构,连接强度的变化主要受发作频率的影响;在控制不佳的 TLE 患者中,Hipp 到 PHG 的连接强度增加,而在控制良好的患者中,Amyg 到 PHG 的连接强度增加。此外,连接强度变化与认知障碍之间的关联受到发作频率和偏侧化的交互影响。

意义

这些发现表明,发作频率和偏侧化对神经影像学特征和认知功能既有单独的影响,也有交互的影响。在考虑多个发作因素时,需要对这种潜在的相互作用进行评估。

相似文献

1
Interactive effects of seizure frequency and lateralization on intratemporal effective connectivity in temporal lobe epilepsy.癫痫患者发作频率和偏侧性对颞叶癫痫颞叶内有效连接的交互影响。
Epilepsia. 2018 Jan;59(1):215-225. doi: 10.1111/epi.13951. Epub 2017 Dec 4.
2
Diminished default mode network recruitment of the hippocampus and parahippocampus in temporal lobe epilepsy.颞叶癫痫中海马和旁海马默认模式网络募集减少。
J Neurosurg. 2013 Aug;119(2):288-300. doi: 10.3171/2013.3.JNS121041. Epub 2013 May 24.
3
Network connectivity separate from the hypothesized irritative zone correlates with impaired cognition and higher rates of seizure recurrence.与假设的刺激性区域无关的网络连通性与认知障碍和更高的癫痫复发率相关。
Epilepsy Behav. 2019 Dec;101(Pt A):106585. doi: 10.1016/j.yebeh.2019.106585. Epub 2019 Nov 4.
4
Task activation and functional connectivity show concordant memory laterality in temporal lobe epilepsy.任务激活和功能连接在颞叶癫痫中显示出一致的记忆偏侧性。
Epilepsy Behav. 2018 Apr;81:70-78. doi: 10.1016/j.yebeh.2018.01.027. Epub 2018 Mar 20.
5
Structural and functional asymmetry of medial temporal subregions in unilateral temporal lobe epilepsy: A 7T MRI study.单侧颞叶癫痫患者内侧颞叶亚区的结构和功能不对称:7T MRI 研究。
Hum Brain Mapp. 2019 Jun 1;40(8):2390-2398. doi: 10.1002/hbm.24530. Epub 2019 Jan 21.
6
Postoperative seizure freedom does not normalize altered connectivity in temporal lobe epilepsy.术后癫痫发作缓解并不能使颞叶癫痫中改变的连接性恢复正常。
Epilepsia. 2017 Nov;58(11):1842-1851. doi: 10.1111/epi.13867. Epub 2017 Aug 3.
7
Language network reorganization before and after temporal lobe epilepsy surgery.颞叶癫痫手术后语言网络的重组。
J Neurosurg. 2020 Jul 3;134(6):1694-1702. doi: 10.3171/2020.4.JNS193401. Print 2021 Jun 1.
8
Resting-state functional MRI distinguishes temporal lobe epilepsy subtypes.静息态功能磁共振成像可区分颞叶癫痫亚型。
Epilepsia. 2016 Sep;57(9):1475-84. doi: 10.1111/epi.13456. Epub 2016 Jul 4.
9
Topiramate and its effect on fMRI of language in patients with right or left temporal lobe epilepsy.妥泰(topiramate)及其对右或左侧颞叶癫痫患者 fMRI 语言的影响。
Epilepsy Behav. 2012 May;24(1):74-80. doi: 10.1016/j.yebeh.2012.02.022. Epub 2012 Apr 4.
10
Association between seizure freedom and default mode network reorganization in patients with unilateral temporal lobe epilepsy.单侧颞叶癫痫患者发作自由与默认模式网络重组之间的关联。
Epilepsy Behav. 2019 Jan;90:238-246. doi: 10.1016/j.yebeh.2018.10.025. Epub 2018 Dec 8.

引用本文的文献

1
The Role of Artificial Intelligence in the Diagnosis and Management of Non-convulsive Seizures: A Narrative Review.人工智能在非惊厥性癫痫发作诊断与管理中的作用:一项叙述性综述
Cureus. 2025 Feb 21;17(2):e79409. doi: 10.7759/cureus.79409. eCollection 2025 Feb.
2
Leukocyte differential gene expression prognostic value for high versus low seizure frequency in temporal lobe epilepsy.白细胞差异基因表达对颞叶癫痫高与低发作频率的预后价值。
BMC Neurol. 2024 Jan 2;24(1):16. doi: 10.1186/s12883-023-03459-1.
3
Effect of total sleep deprivation on effective EEG connectivity for young male in resting-state networks in different eye states.
完全睡眠剥夺对不同眼部状态下年轻男性静息态网络中有效脑电图连通性的影响。
Front Neurosci. 2023 Oct 19;17:1204457. doi: 10.3389/fnins.2023.1204457. eCollection 2023.
4
Sevoflurane-induced high-frequency oscillations, effective connectivity and intraoperative classification of epileptic brain areas.七氟醚诱导的高频振荡、有效连通性与癫痫脑区的术中分类。
Clin Neurophysiol. 2023 Jun;150:17-30. doi: 10.1016/j.clinph.2023.03.004. Epub 2023 Mar 17.
5
Altered Language-Related Effective Connectivity in Patients with Benign Childhood Epilepsy with Centrotemporal Spikes.伴有中央颞区棘波的儿童良性癫痫患者语言相关有效连接的改变
Life (Basel). 2023 Feb 20;13(2):590. doi: 10.3390/life13020590.
6
Evaluating whole-brain tissue-property changes in MRI-negative pharmacoresistant focal epilepsies using MR fingerprinting.使用磁共振指纹技术评估 MRI 阴性药物难治性局灶性癫痫的全脑组织特性变化。
Epilepsia. 2023 Feb;64(2):430-442. doi: 10.1111/epi.17488. Epub 2022 Dec 23.
7
Functional connectivity of hippocampus in temporal lobe epilepsy depends on hippocampal dominance: a systematic review of the literature.颞叶癫痫中海马的功能连接取决于海马优势:文献系统综述。
J Neurol. 2022 Jan;269(1):221-232. doi: 10.1007/s00415-020-10391-8. Epub 2021 Feb 10.
8
One-Year Analysis of Risk Factors Associated With Cognitive Impairment in Newly Diagnosed Epilepsy in Adults.成人新诊断癫痫患者认知障碍相关危险因素的一年分析
Front Neurol. 2020 Nov 6;11:594164. doi: 10.3389/fneur.2020.594164. eCollection 2020.
9
Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls.磁共振成像中海马区域的放射组学特征可区分内侧颞叶癫痫患者与健康对照者。
Sci Rep. 2020 Nov 11;10(1):19567. doi: 10.1038/s41598-020-76283-z.
10
Artificial Intelligence and Computational Approaches for Epilepsy.癫痫的人工智能与计算方法
J Epilepsy Res. 2020 Jun 30;10(1):8-17. doi: 10.14581/jer.20003. eCollection 2020 Jun.