Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| eLORETA× | MEG avoto lokalizācija× | Fāzes sasaistes vērtība× | |
|---|---|---|---|
| Nozare | Neiroattēlveidošana | Neiroattēlveidošana | Neiroattēlveidošana |
| Saime | Process / pipeline | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2002 | 1972 | 1999 |
| Autors≠ | Roberto D. Pascual-Marqui | David Cohen | Jean-Philippe Lachaux |
| Tips≠ | EEG/MEG source localization algorithm | MEG neuroimaging analysis pipeline | EEG/MEG functional connectivity analysis |
| Pirmavots≠ | 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 ↗ | 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 ↗ |
| Citi nosaukumi≠ | Exact LORETA, eLORETA source reconstruction | MEG localization, magnetic source imaging, MSI | PLV, phase synchronization, phase coupling |
| Saistītās≠ | 2 | 3 | 3 |
| Kopsavilkums≠ | 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. | 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. |
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