Validating and optimising the analysis of magnetic resonance physiology data

验证和优化磁共振生理学数据的分析

• 批准号: nhmrc : 368650
• 负责人: A/Pr David Abbott
• 金额: $ 6.12万
• 依托单位: Brain Research Institute
• 依托单位国家: 澳大利亚
• 项目类别: NHMRC Project Grants
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/validating-optimising-analysis-resonance-physiology/101050
• 关键词: Validating; optimising; analysis; magnetic; resonance

Combined electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is used to detect the anatomical areas in the brain that show electrical activity. Several centres worldwide use this technique to localise the seizure focus in patients with epilepsy. However, there is a lack of validation of the currently applied techniques. Current analysis methods have been developed and validated for other fMRI paradigms, such as motor tasks. It is not known whether the same principles are applicable and optimal for fMRI-EEG data. The proposed project aims at validating and optimising the analysis strategies for fMRI-EEG data.

脑电图组合（EEG）和功能磁共振成像（fMRI）用于检测大脑中显示电活动的解剖区域。全球几个中心使用此技术将癫痫患者的癫痫发作重点定位。但是，缺乏对当前应用的技术的验证。当前的分析方法已经开发并验证了其他功能磁共振成像范式（例如运动任务）。尚不清楚相同的原理是否适用且最佳适用于fmri-EEG数据。拟议的项目旨在验证和优化FMRI-EEG数据的分析策略。