手法を比較

	事象関連電位解析	eLORETA	位相ロック値
分野	神経画像学	神経画像学	神経画像学
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1969	2002	1999
提唱者	George Sutherland	Roberto D. Pascual-Marqui	Jean-Philippe Lachaux
種類	Time-locked EEG analysis pipeline	EEG/MEG source localization algorithm	EEG/MEG functional connectivity analysis
原典	Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press.	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.	Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194–208.
別名	ERP, evoked potential, averaged EEG	Exact LORETA, eLORETA source reconstruction	PLV, phase synchronization, phase coupling
関連	3	2	3
概要	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.	Phase-Locking Value (PLV) is a frequency-domain measure of neural synchronization that quantifies the stability of phase difference between two signals. Introduced by Lachaux and colleagues in 1999, PLV detects phase coupling between brain regions independent of signal amplitude, enabling researchers to characterize functional connectivity from EEG and MEG recordings.