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本文引用的文献

1
Mapping the structural and functional network architecture of the medial temporal lobe using 7T MRI.使用 7T MRI 绘制内侧颞叶的结构和功能网络架构。
Hum Brain Mapp. 2018 Feb;39(2):851-865. doi: 10.1002/hbm.23887. Epub 2017 Nov 20.
2
MRI-negative temporal lobe epilepsy-What do we know?磁共振成像阴性的颞叶癫痫——我们了解什么?
Epilepsia. 2017 May;58(5):727-742. doi: 10.1111/epi.13699. Epub 2017 Mar 7.
3
MRI-negative temporal lobe epilepsy: A network disorder of neocortical connectivity.MRI阴性颞叶癫痫:一种新皮质连接的网络障碍。
Neurology. 2016 Nov 1;87(18):1934-1942. doi: 10.1212/WNL.0000000000003289. Epub 2016 Sep 30.
4
Small-World Brain Networks Revisited.再次探讨小世界脑网络。
Neuroscientist. 2017 Oct;23(5):499-516. doi: 10.1177/1073858416667720. Epub 2016 Sep 21.
5
Virtual Cortical Resection Reveals Push-Pull Network Control Preceding Seizure Evolution.虚拟皮质切除术揭示癫痫发作演变前的推挽式网络控制。
Neuron. 2016 Sep 7;91(5):1170-1182. doi: 10.1016/j.neuron.2016.07.039. Epub 2016 Aug 25.
6
Automated subfield volumetric analysis of hippocampus in temporal lobe epilepsy using high-resolution T2-weighed MR imaging.利用高分辨率T2加权磁共振成像对颞叶癫痫患者海马进行自动子区域容积分析
Neuroimage Clin. 2016 Jun 13;12:57-64. doi: 10.1016/j.nicl.2016.06.008. eCollection 2016.
7
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.
8
The spectrum of structural and functional imaging abnormalities in temporal lobe epilepsy.颞叶癫痫的结构和功能影像学异常谱。
Ann Neurol. 2016 Jul;80(1):142-53. doi: 10.1002/ana.24691. Epub 2016 Jun 9.
9
Hippocampal internal architecture and postoperative seizure outcome in temporal lobe epilepsy due to hippocampal sclerosis.海马硬化所致颞叶癫痫的海马内部结构与术后癫痫发作结果
Seizure. 2016 Feb;35:65-71. doi: 10.1016/j.seizure.2016.01.007. Epub 2016 Jan 8.
10
Glutamate imaging (GluCEST) lateralizes epileptic foci in nonlesional temporal lobe epilepsy.谷氨酸成像(GluCEST)可对非病变性颞叶癫痫的癫痫病灶进行定位。
Sci Transl Med. 2015 Oct 14;7(309):309ra161. doi: 10.1126/scitranslmed.aaa7095.

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。

Structural and functional asymmetry of medial temporal subregions in unilateral temporal lobe epilepsy: A 7T MRI study.

机构信息

Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, Pennsylvania.

Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania.

出版信息

Hum Brain Mapp. 2019 Jun 1;40(8):2390-2398. doi: 10.1002/hbm.24530. Epub 2019 Jan 21.

DOI:10.1002/hbm.24530
PMID:30666753
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6497534/
Abstract

Mesial temporal lobe epilepsy (TLE) is a common neurological disorder affecting the hippocampus and surrounding medial temporal lobe (MTL). Although prior studies have analyzed whole-brain network distortions in TLE patients, the functional network architecture of the MTL at the subregion level has not been examined. In this study, we utilized high-resolution 7T T2-weighted magnetic resonance imaging (MRI) and resting-state BOLD-fMRI to characterize volumetric asymmetry and functional network asymmetry of MTL subregions in unilateral medically refractory TLE patients and healthy controls. We subdivided the TLE group into mesial temporal sclerosis patients (TLE-MTS) and MRI-negative nonlesional patients (TLE-NL). Using an automated multi-atlas segmentation pipeline, we delineated 10 MTL subregions per hemisphere for each subject. We found significantly different patterns of volumetric asymmetry between the two groups, with TLE-MTS exhibiting volumetric asymmetry corresponding to decreased volumes ipsilaterally in all hippocampal subfields, and TLE-NL exhibiting no significant volumetric asymmetries other than a mild decrease in whole-hippocampal volume ipsilaterally. We also found significantly different patterns of functional network asymmetry in the CA1 subfield and whole hippocampus, with TLE-NL patients exhibiting asymmetry corresponding to increased connectivity ipsilaterally and TLE-MTS patients exhibiting asymmetry corresponding to decreased connectivity ipsilaterally. Our findings provide initial evidence that functional neuroimaging-based network properties within the MTL can distinguish between TLE subtypes. High-resolution MRI has potential to improve localization of underlying brain network disruptions in TLE patients who are candidates for surgical resection.

摘要

内侧颞叶癫痫(TLE)是一种常见的神经紊乱疾病,影响海马体和周围的内侧颞叶(MTL)。虽然之前的研究已经分析了 TLE 患者的全脑网络扭曲,但 MTL 亚区水平的功能网络结构尚未被研究。在这项研究中,我们利用高分辨率 7T T2 加权磁共振成像(MRI)和静息状态 BOLD-fMRI,来描述单侧药物难治性 TLE 患者和健康对照组的 MTL 亚区的体积不对称和功能网络不对称。我们将 TLE 组分为内侧颞叶硬化症患者(TLE-MTS)和 MRI 阴性非病变患者(TLE-NL)。使用自动多图谱分割流水线,我们为每个受试者划分了每个半球的 10 个 MTL 亚区。我们发现两组之间存在明显不同的体积不对称模式,TLE-MTS 表现出与所有海马亚区同侧体积减少相对应的体积不对称,而 TLE-NL 除了同侧整个海马体体积轻度减少外,没有明显的体积不对称。我们还发现 CA1 亚区和整个海马体的功能网络不对称模式存在显著差异,TLE-NL 患者表现出同侧连接增加的不对称,而 TLE-MTS 患者表现出同侧连接减少的不对称。我们的研究结果提供了初步证据,表明基于功能神经影像学的 MTL 内网络特性可以区分 TLE 亚型。高分辨率 MRI 有可能提高候选手术切除的 TLE 患者的脑网络破坏的定位。