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| Локализация на източници в МЕГ× | Анализ на свързаните със събитието потенциали× | |
|---|---|---|
| Област | Невроизобразяване | Невроизобразяване |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1972 | 1969 |
| Създател≠ | David Cohen | George Sutherland |
| Тип≠ | MEG neuroimaging analysis pipeline | Time-locked EEG analysis pipeline |
| Основополагащ източник≠ | 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 ↗ | Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. link ↗ |
| Други названия | MEG localization, magnetic source imaging, MSI | ERP, evoked potential, averaged EEG |
| Свързани | 3 | 3 |
| Резюме≠ | 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. | 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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