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| Ανάλυση Προκλητών Δυναμικών (Event-Related Potential Analysis)× | Εντοπισμός πηγών MEG× | Τιμή Φασικής Σύζευξης× | |
|---|---|---|---|
| Πεδίο | Νευροαπεικόνιση | Νευροαπεικόνιση | Νευροαπεικόνιση |
| Οικογένεια | Process / pipeline | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1969 | 1972 | 1999 |
| Δημιουργός≠ | George Sutherland | David Cohen | Jean-Philippe Lachaux |
| Τύπος≠ | Time-locked EEG analysis pipeline | MEG neuroimaging analysis pipeline | EEG/MEG functional connectivity analysis |
| 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 ↗ | 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 ↗ |
| Εναλλακτικές ονομασίες | ERP, evoked potential, averaged EEG | MEG localization, magnetic source imaging, MSI | PLV, phase synchronization, phase coupling |
| Συναφείς | 3 | 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. | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
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