Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging

被引:52
|
作者
Lemkaddem, Alia [1 ]
Daducci, Alessandro [1 ,6 ,7 ]
Kunz, Nicolas [2 ]
Lazeyras, Francois [3 ]
Seeck, Margitta [4 ,5 ]
Thiran, Jean-Philippe [1 ,6 ,7 ]
Vulliemoz, Serge [4 ,5 ]
机构
[1] Ecole Polytech Fed Lausanne, Signal Proc Labs LTS5, Lausanne, Switzerland
[2] Ecole Polytech Fed Lausanne, Ctr Imagerie BioMed CIBM AIT, Lausanne, Switzerland
[3] Univ Hosp Geneva, Dept Radiol, Geneva, Switzerland
[4] Univ Hosp, Neurol Clin, Epilepsy Unit, Lausanne, Switzerland
[5] Fac Med Geneva, Geneva, Switzerland
[6] Univ Hosp, Dept Radiol, Lausanne, Switzerland
[7] Univ Lausanne, CH-1015 Lausanne, Switzerland
基金
瑞士国家科学基金会;
关键词
Diffusion MRI; Connectome; Tractography; Network measures; DSI; GFA; NODDI; Temporal lobe epilepsy; MRI; ABNORMALITIES; NETWORK; TRACTOGRAPHY; CONNECTOME; IMPAIRMENT; ORGANIZATION; ORIENTATION; THICKNESS; MEMORY;
D O I
10.1016/j.nicl.2014.07.013
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Focal epilepsy is increasingly recognized as the result of an altered brain network, both on the structural and functional levels and the characterization of these widespread brain alterations is crucial for our understanding of the clinical manifestation of seizure and cognitive deficits as well as for the management of candidates to epilepsy surgery. Tractography based on Diffusion Tensor Imaging allows non-invasive mapping of white matter tracts in vivo. Recently, diffusion spectrum imaging (DSI), based on an increased number of diffusion directions and intensities, has improved the sensitivity of tractography, notably with respect to the problem of fiber crossing and recent developments allow acquisition times compatible with clinical application. We used DSI and parcellation of the graymatter in regions of interest to build whole-brain connectivity matrices describing the mutual connections between cortical and subcortical regions in patients with focal epilepsy and healthy controls. In addition, the high angular and radial resolution of DSI allowed us to evaluate also some of the biophysical compartment models, to better understand the cause of the changes in diffusion anisotropy. Global connectivity, hub architecture and regional connectivity patterns were altered in TLE patients and showed different characteristics in RTLE vs LTLE with stronger abnormalities in RTLE. The microstructural analysis suggested that disturbed axonal density contributed more than fiber orientation to the connectivity changes affecting the temporal lobes whereas fiber orientation changes were more involved in extratemporal lobe changes. Our study provides further structural evidence that RTLE and LTLE are not symmetrical entities and DSI-based imaging could help investigate the microstructural correlate of these imaging abnormalities. (C) 2014 The Authors. Published by Elsevier Inc.
引用
收藏
页码:349 / 358
页数:10
相关论文
共 50 条
  • [21] Multimodal imaging of language reorganization in patients with left temporal lobe epilepsy
    Chang, Yu-Hsuan A.
    Kemmotsu, Nobuko
    Leyden, Kelly M.
    Kucukboyaci, N. Erkut
    Iragui, Vicente J.
    Tecoma, Evelyn S.
    Kansal, Leena
    Norman, Marc A.
    Compton, Rachelle
    Ehrlich, Tobin J.
    Uttarwar, Vedang S.
    Reyes, Anny
    Paul, Brianna M.
    McDonald, Carrie R.
    BRAIN AND LANGUAGE, 2017, 170 : 82 - 92
  • [22] Alterations in the hippocampal-thalamic pathway underlying secondarily generalized tonic-clonic seizures in mesial temporal lobe epilepsy: A diffusion tensor imaging study
    Chen, Cong
    Li, Hong
    Ding, Fang
    Yang, Linglin
    Huang, Peiyu
    Wang, Shan
    Jin, Bo
    Xu, Cenglin
    Wang, Yi
    Ding, Meiping
    Chen, Zhong
    Wang, Shuang
    EPILEPSIA, 2019, 60 (01) : 121 - 130
  • [23] Microstructural imaging in temporal lobe epilepsy: Diffusion imaging changes relate to reduced neurite density
    Winston, Gavin P.
    Vos, Sjoerd B.
    Caldairou, Benoit
    Hong, Seok-Jun
    Czech, Monika
    Wood, Tobias C.
    Wastling, Stephen J.
    Barker, Gareth J.
    Bernhardt, Boris C.
    Bernasconi, Neda
    Duncan, John S.
    Bernasconi, Andrea
    NEUROIMAGE-CLINICAL, 2020, 26
  • [24] White Matter Connectivity Alterations in Patients with MRI negative Temporal Lobe Epilepsy Using Hippocampus Specific Tractography
    Chai, Yaqiong
    Cabeen, Ryan P.
    Simon, Julia
    Li, Yan
    Wolfgang, Muhlhofer G.
    Knowlton, Robert
    Kim, Hosung
    17TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, 2021, 12088
  • [25] Alterations of white matter network in patients with left and right non-lesional temporal lobe epilepsy
    Yu, Yunli
    Chu, Lan
    Liu, Chunfeng
    Huang, Mingming
    Wang, Houfen
    EUROPEAN RADIOLOGY, 2019, 29 (12) : 6750 - 6761
  • [26] Mapping the convergent temporal epileptic network in left and right temporal lobe epilepsy
    Fang, Peng
    An, Jie
    Zeng, Ling-Li
    Shen, Hui
    Qiu, Shijun
    Hu, Dewen
    NEUROSCIENCE LETTERS, 2017, 639 : 179 - 184
  • [27] Graph theory application with functional connectivity to distinguish left from right temporal lobe epilepsy
    Amiri, Saba
    Mehvari-Habibabadi, Jafar
    Mohammadi-Mobarakeh, Neda
    Hashemi-Fesharaki, Seyed Sohrab
    Mirbagheri, Mehdi M.
    Elisevich, Kost
    Nazem-Zadeh, Mohammad-Reza
    EPILEPSY RESEARCH, 2020, 167
  • [28] Diffusion tensor imaging tractography parameters of limbic system bundles in temporal lobe epilepsy patients
    Liacu, Despina
    Idy-Peretti, Ilana
    Ducreux, Denis
    Bouilleret, Viviane
    de Marco, Giovanni
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 36 (03) : 561 - 568
  • [29] Gray Matter Structural Compromise Is Equally Distributed in Left and Right Temporal Lobe Epilepsy
    Liu, Min
    Bernhardt, Boris C.
    Bernasconi, Andrea
    Bernasconi, Neda
    HUMAN BRAIN MAPPING, 2016, 37 (02) : 515 - 524
  • [30] Left or right? Lateralizing temporal lobe epilepsy by dynamic amygdala fMRI
    Ives-Deliperi, Victoria
    Butler, James Thomas
    Jokeit, Hennric
    EPILEPSY & BEHAVIOR, 2017, 70 : 118 - 124