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Analyse af hændelsesrelaterede potentialer×eLORETA×MEG kildelokalisering×Faselåsningsværdi×
FagområdeNeurobilleddannelseNeurobilleddannelseNeurobilleddannelseNeurobilleddannelse
FamilieProcess / pipelineProcess / pipelineProcess / pipelineProcess / pipeline
Oprindelsesår1969200219721999
OphavspersonGeorge SutherlandRoberto D. Pascual-MarquiDavid CohenJean-Philippe Lachaux
TypeTime-locked EEG analysis pipelineEEG/MEG source localization algorithmMEG neuroimaging analysis pipelineEEG/MEG functional connectivity analysis
Oprindelig kildeLuck, 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 ↗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. link ↗Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Human Brain Mapping, 8(4), 194–208. DOI ↗
AliasserERP, evoked potential, averaged EEGExact LORETA, eLORETA source reconstructionMEG localization, magnetic source imaging, MSIPLV, phase synchronization, phase coupling
Relaterede3233
ResuméEvent-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.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.
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ScholarGateSammenlign metoder: Event-Related Potential Analysis · eLORETA · MEG Source Localization · Phase-Locking Value. Hentet 2026-06-18 fra https://scholargate.app/da/compare