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Localização de Fontes em MEG×Análise de Potenciais Relacionados a Eventos×
ÁreaNeuroimagemNeuroimagem
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19721969
Autor originalDavid CohenGeorge Sutherland
TipoMEG neuroimaging analysis pipelineTime-locked EEG analysis pipeline
Fonte seminalHauk, 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 ↗Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. link ↗
Outros nomesMEG localization, magnetic source imaging, MSIERP, evoked potential, averaged EEG
Relacionados33
ResumoMagnetoencephalography (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.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.
ScholarGateConjunto de dados
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  1. v1
  2. 2 Fontes
  3. PUBLISHED

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ScholarGateComparar métodos: MEG Source Localization · Event-Related Potential Analysis. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare