方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 事件相关电位分析× | eLORETA× | |
|---|---|---|
| 领域 | 神经影像 | 神经影像 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1969 | 2002 |
| 提出者≠ | George Sutherland | Roberto D. Pascual-Marqui |
| 类型≠ | Time-locked EEG analysis pipeline | EEG/MEG source localization algorithm |
| 开创性文献≠ | Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. link ↗ | Pascual-Marqui, R. D. (2002). Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods & Findings in Experimental & Clinical Pharmacology, 24(S-D), 5–12. link ↗ |
| 别名≠ | ERP, evoked potential, averaged EEG | Exact LORETA, eLORETA source reconstruction |
| 相关≠ | 3 | 2 |
| 摘要≠ | 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. | Exact Low-Resolution Electromagnetic Tomography (eLORETA) is a non-parametric solution to the inverse problem in EEG and MEG source localization. Developed by Roberto D. Pascual-Marqui in 2002, eLORETA reconstructs three-dimensional maps of electrical brain activity from scalp electrode recordings, offering zero localization error under ideal noise-free conditions. |
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