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Localizing functional and pathological networks in epilepsy

定位癫痫的功能和病理网络

基本信息

批准号：
8550546
负责人：
Corey J Keller
金额：
$ 1.06万
依托单位：
ALBERT EINSTEIN COLLEGE OF MEDICINE
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-07-01 至 2013-10-10
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8550546
关键词：
Address Area Brain Brain imaging Brain region Clinical Discipline Electric Stimulation Electrocorticogram Electrodes Electroencephalography Electrophysiology (science)Epilepsy Evoked Potentials Excision Frequencies Functional Magnetic Resonance Imaging Functional disorder Goals Graph Human Image Individual Intervention Lead Length Maintenance Measures Medical Mentorship Methods Mission Multimodal Imaging Neurons Neurosciences Operative Surgical Procedures Outcome Partial Epilepsies Pathway Analysis Patients Pharmaceutical Preparations Physicians Population Property Research Research Training Resected Rest Sampling Biases Scientist Seizures Signal Transduction Techniques Temporal Lobe Testing Time Tissues Training Training Programs Translational Research Work base blood oxygen level dependent clinical practice computerized data processing implantation improved in vivo method development neuroimaging neuronal patterning novel relating to nervous system research study skills spatiotemporal stem success theories tool tool development

项目摘要

DESCRIPTION (provided by applicant): Recent advances in epilepsy stem from the notion that a network of brain areas, as opposed to a single onset zone, may be responsible for the onset and maintenance of seizures. This is critical as identifying and completely resecting the epileptogenic zone while preserving healthy eloquent cortex is considered to be the basis of the successful surgical treatment of epilepsy. However, methods to localize and quantitatively study the properties of these networks need to be improved. Recent advances in neuroscience include the development of tools for the analysis of cortical networks using graph theory and the identification of high frequency activity on EEG that correlates with neuronal population firing. Quantifying the connectivity between brain areas with graph theory allows comparison of normal and abnormal brain networks. Availability of a marker of highly localized neuronal population activity that can be recorded by conventional clinical electrodes offers a means to track brain activation rapidly as it propagates through cortex. Here, we propose to bridge the gap between current clinical practice that results in suboptimal surgical outcomes and a more detailed understanding of cortical networks and the spread of epileptic To determine the relationship between networks derived from neuroimaging and electrophysiology techniques, and 2) To localize functional and pathological networks using complementary methods from multiple recording techniques. The long term goal of this research is the application of network analysis to multimodal imaging to 1) better understand the relationship between non-invasive and invasive imaging and 2) develop more accurate techniques to localize epileptic networks to improve surgical outcome, both of which will be addressed in this proposal. This proposed study has two fundamental goals.

描述（由申请人提供）：癫痫的最新进展源于这样一种观念，即大脑区域的网络，而不是单一的发病区，可能是癫痫发作和维持的原因。这是至关重要的，因为识别并完全切除致痫区，同时保留健康的功能皮质被认为是成功手术治疗癫痫的基础。然而，这些网络的本地化和定量研究的方法需要改进。神经科学的最新进展包括使用图论分析皮质网络的工具的开发以及与神经元群体放电相关的EEG上的高频活动的识别。用图论量化大脑区域之间的连通性可以比较正常和异常的大脑网络。可由常规临床电极记录的高度局部化的神经元群体活动的标记物的可用性提供了一种在大脑激活通过皮层传播时快速跟踪大脑激活的手段。在这里，我们建议弥合当前临床实践之间的差距，导致次优的手术结果和更详细的了解皮层网络和癫痫的传播，以确定来自神经成像和电生理技术的网络之间的关系，和2）使用多种记录技术的互补方法定位功能和病理网络。本研究的长期目标是将网络分析应用于多模态成像，以1）更好地了解非侵入性和侵入性成像之间的关系，2）开发更准确的技术来定位癫痫网络，以改善手术结果，这两项都将在本提案中得到解决。这项拟议的研究有两个基本目标。

项目成果

期刊论文数量（10）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Tuning face perception with electrical stimulation of the fusiform gyrus.

DOI：
10.1002/hbm.23543
发表时间：
2017-06
期刊：
Human brain mapping
影响因子：
4.8
作者：
Keller CJ;Davidesco I;Megevand P;Lado FA;Malach R;Mehta AD
通讯作者：
Mehta AD

Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal.

DOI：
10.1523/jneurosci.4837-12.2013
发表时间：
2013-04-10
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
0
作者：
Keller CJ;Bickel S;Honey CJ;Groppe DM;Entz L;Craddock RC;Lado FA;Kelly C;Milham M;Mehta AD
通讯作者：
Mehta AD

The Limited Utility of Multiunit Data in Differentiating Neuronal Population Activity.

DOI：
10.1371/journal.pone.0153154
发表时间：
2016
期刊：
PloS one
影响因子：
3.7
作者：
Keller CJ;Chen C;Lado FA;Khodakhah K
通讯作者：
Khodakhah K

Dominant frequencies of resting human brain activity as measured by the electrocorticogram.

DOI：
10.1016/j.neuroimage.2013.04.044
发表时间：
2013-10-01
期刊：
NEUROIMAGE
影响因子：
5.7
作者：
Groppe, David M.;Bickel, Stephan;Keller, Corey J.;Jain, Sanjay K.;Hwang, Sean T.;Harden, Cynthia;Mehta, Ashesh D.
通讯作者：
Mehta, Ashesh D.

Evoked effective connectivity of the human neocortex.

DOI：
10.1002/hbm.22581
发表时间：
2014-12
期刊：
Human brain mapping
影响因子：
4.8
作者：
Entz L;Tóth E;Keller CJ;Bickel S;Groppe DM;Fabó D;Kozák LR;Erőss L;Ulbert I;Mehta AD
通讯作者：
Mehta AD