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| eLORETA× | Analyse des potentiels évoqués liés à l'événement× | |
|---|---|---|
| Domaine | Neuro-imagerie | Neuro-imagerie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2002 | 1969 |
| Auteur d'origine≠ | Roberto D. Pascual-Marqui | George Sutherland |
| Type≠ | EEG/MEG source localization algorithm | Time-locked EEG analysis pipeline |
| Source fondatrice≠ | 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 ↗ |
| Alias≠ | Exact LORETA, eLORETA source reconstruction | ERP, evoked potential, averaged EEG |
| Apparentées≠ | 2 | 3 |
| Résumé≠ | 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. |
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