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| Ανάλυση Προκλητών Δυναμικών (Event-Related Potential Analysis)× | Εντοπισμός πηγών MEG× | |
|---|---|---|
| Πεδίο | Νευροαπεικόνιση | Νευροαπεικόνιση |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1969 | 1972 |
| Δημιουργός≠ | George Sutherland | David Cohen |
| Τύπος≠ | Time-locked EEG analysis pipeline | MEG neuroimaging analysis pipeline |
| Θεμελιώδης πηγή≠ | Luck, S. J. (2005). An Introduction to the Event-Related Potential Technique. MIT Press. 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 ↗ |
| Εναλλακτικές ονομασίες | ERP, evoked potential, averaged EEG | MEG localization, magnetic source imaging, MSI |
| Συναφείς | 3 | 3 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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