手法を比較

	事象関連電位解析	MEG Source Localization	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	1972	1999
提唱者	George Sutherland	David Cohen	Jean-Philippe Lachaux
種類	Time-locked EEG analysis pipeline	MEG neuroimaging analysis pipeline	EEG/MEG functional connectivity analysis
原典	Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press.	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.	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	MEG localization, magnetic source imaging, MSI	PLV, phase synchronization, phase coupling
関連	3	3	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.	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.	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.