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MEG源定位×事件相关电位分析×
领域神经影像神经影像
方法族Process / pipelineProcess / pipeline
起源年份19721969
提出者David CohenGeorge Sutherland
类型MEG neuroimaging analysis pipelineTime-locked EEG analysis pipeline
开创性文献Hauk, O., Friston, K. J., & Leff, A. (2019). Functional neuroimaging of language: understanding the complex relationships between localization and function. Journal of Neurolinguistics, 50, 236–250. link ↗Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. link ↗
别名MEG localization, magnetic source imaging, MSIERP, evoked potential, averaged EEG
相关33
摘要Magnetoencephalography (MEG) source localization is the inverse problem of estimating where in the brain neural currents originate from magnetic field measurements at the scalp. Introduced by David Cohen in 1972, MEG offers superior temporal resolution (milliseconds) and spatial specificity compared to EEG, as magnetic fields are less distorted by tissue conductivity, enabling researchers to pinpoint neural activity with high precision.Event-Related Potential (ERP) analysis is a method for extracting stereotyped brain electrical responses time-locked to stimulus presentation or behavioral events from EEG recordings. Formalized in the cognitive neuroscience literature by researchers including Sutherland and Picton, ERP analysis enables millisecond-level temporal resolution of neural processing and has become foundational for studying perception, attention, memory, and decision-making.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: MEG Source Localization · Event-Related Potential Analysis. 于 2026-06-18 检索自 https://scholargate.app/zh/compare