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Динамично каузално моделиране×eLORETA×Анализ на свързаните със събитието потенциали×
ОбластНевроизобразяванеНевроизобразяванеНевроизобразяване
СемействоProcess / pipelineProcess / pipelineProcess / pipeline
Година на възникване200320021969
СъздателKarl J. FristonRoberto D. Pascual-MarquiGeorge Sutherland
ТипCausal modeling pipeline for neuroimagingEEG/MEG source localization algorithmTime-locked EEG analysis pipeline
Основополагащ източникFriston, K. J., Harrison, L., & Penny, W. (2003). Dynamic causal modelling. NeuroImage, 19(4), 1273–1302. DOI ↗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 ↗
Други названияDCM, Dynamic Causal ModelExact LORETA, eLORETA source reconstructionERP, evoked potential, averaged EEG
Свързани223
РезюмеDynamic Causal Modeling (DCM) is a Bayesian framework for specifying and inverting generative models of brain connectivity from neuroimaging data. Introduced by Karl Friston and colleagues in 2003, DCM treats brain regions as dynamical systems and estimates effective connectivity by fitting observed fMRI time series to a biophysically plausible model of neuronal interactions.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.
ScholarGateНабор от данни
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ScholarGateСравнение на методи: Dynamic Causal Modeling · eLORETA · Event-Related Potential Analysis. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare