방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| eLORETA× | 사건 관련 전위 분석× | |
|---|---|---|
| 분야 | 신경영상 | 신경영상 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 2002 | 1969 |
| 창시자≠ | Roberto D. Pascual-Marqui | George Sutherland |
| 유형≠ | EEG/MEG source localization algorithm | Time-locked EEG analysis pipeline |
| 원전≠ | 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 ↗ | Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. link ↗ |
| 별칭≠ | Exact LORETA, eLORETA source reconstruction | ERP, evoked potential, averaged EEG |
| 관련≠ | 2 | 3 |
| 요약≠ | 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. | 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. |
| ScholarGate데이터셋 ↗ |
|
|