Localizing functional and pathological networks in epilepsy

定位癫痫的功能和病理网络

• 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
• 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

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以下观点：与单个发作区相反，大脑区域网络可能是癫痫发作和维持的原因。这是至关重要的，因为在保存健康的雄辩皮层的同时，识别并彻底切除了癫痫发作区，被认为是成功手术治疗癫痫的基础。但是，需要改进这些网络的特性进行定位和定量研究。 神经科学的最新进展包括开发使用图理论分析皮质网络的工具，以及与神经元种群射击相关的脑电图上的高频活动的鉴定。用图理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。传统临床电极可以记录的高度局部神经元人群活性的标志物可提供一种方法，可以在传播皮质传播时迅速跟踪脑激活。在这里，我们建议弥合当前临床实践之间的差距，从而导致次级手术结果，对皮质网络的更详细的了解以及癫痫的传播，以确定使用多个记录技术的互补方法定位的功能和病理网络的神经影像学和电生理学技术之间的网络之间的关系。这项研究的长期目标是将网络分析应用于多模式成像1）更好地了解非侵入性和侵入性成像之间的关系以及2）开发更准确的技术来定位癫痫网络以改善手术结果，这两者都将在该建议中解决。这项拟议的研究有两个基本目标。

项目成果

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
• 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

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

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.