Beyond the Epileptic Focus: Functional Epileptic Networks in Focal Epilepsy

Author:

Gil Francisco1,Padilla Nelly2,Soria-Pastor Sara3,Setoain Xavier456,Boget Teresa57,Rumiá Jordi8,Roldán Pedro8,Reyes David1,Bargalló Núria59,Conde Estefanía1,Pintor Luis510,Vernet Oriol1,Manzanares Isabel1,Ådén Ulrika2,Carreño Mar15,Donaire Antonio156

Affiliation:

1. Epilepsy Program, Department of Neurology, Hospital Clínic, Neuroscience Institute, CP 08036, Barcelona, Spain

2. Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden

3. Department of Psychiatry, Consorci Sanitari del Maresme, Hospital of Mataro, CP 08304, Mataro, Spain

4. Epilepsy Program, Department of Nuclear Medicine, Hospital Clínic, CDIC, CP 08036, Barcelona, Spain

5. Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Clinical and Experimental Neuroscience, Clinical Neurophysiology, CP 08036, Barcelona, Spain

6. Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), University of Barcelona, CP 08036, Barcelona, Spain

7. Epilepsy Program, Department of Neuropsychology, Hospital Clínic, Neuroscience Institute, CP 08036, Barcelona, Spain

8. Epilepsy Program, Department of Neurosurgery, Hospital Clínic, Neuroscience Institute, CP 08036, Barcelona, Spain

9. Epilepsy Program, Department of Radiology, Hospital Clínic, CDIC, CP 08036, Barcelona, Spain

10. Epilepsy Program, Department of Psychiatry, Hospital Clínic, CDIC, CP 08036, Barcelona, Spain

Abstract

Abstract Focal epilepsy can be conceptualized as a network disorder, and the functional epileptic network can be described as a complex system of multiple brain areas that interact dynamically to generate epileptic activity. However, we still do not fully understand the functional architecture of epileptic networks. We studied a cohort of 21 patients with extratemporal focal epilepsy. We used independent component analysis of functional magnetic resonance imaging (fMRI) data. In order to identify the epilepsy-related components, we examined the general linear model-derived electroencephalography-fMRI (EEG–fMRI) time courses associated with interictal epileptic activity as intrinsic hemodynamic epileptic biomarkers. Independent component analysis revealed components related to the epileptic time courses in all 21 patients. Each epilepsy-related component described a network of spatially distributed brain areas that corresponded to the specific epileptic network in each patient. We also provided evidence for the interaction between the epileptic activity generated at the epileptic network and the physiological resting state networks. Our findings suggest that independent component analysis, guided by EEG–fMRI epileptic time courses, have the potential to define the functional architecture of the epileptic network in a noninvasive way. These data could be useful in planning invasive EEG electrode placement, guiding surgical resections, and more effective therapeutic interventions.

Funder

Institute of Health Carlos III

Ministry of Economy and Competitiveness

European Regional Development Fund

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3