What actually matters in multi-compartment EEG head models: A controlled FEM study of parcellation granularity, skull layering, mesh quality, noise, and inverse solver.
- DOI
- 10.1016/j.neuroimage.2026.122058
- Published
- 2026 Sep
- Container
- NeuroImage
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neuroimage.2026.122058,
title = {What actually matters in multi-compartment EEG head models: A controlled FEM study of parcellation granularity, skull layering, mesh quality, noise, and inverse solver.},
author = {Zarrin Nia A and Olatunji BA and Pursiainen S},
year = {2026},
journal = {NeuroImage},
doi = {10.1016/j.neuroimage.2026.122058},
url = {https://doi.org/10.1016/j.neuroimage.2026.122058}
}RIS
TY - JOUR TI - What actually matters in multi-compartment EEG head models: A controlled FEM study of parcellation granularity, skull layering, mesh quality, noise, and inverse solver. AU - Zarrin Nia A AU - Olatunji BA AU - Pursiainen S PY - 2026 JO - NeuroImage DO - 10.1016/j.neuroimage.2026.122058 UR - https://doi.org/10.1016/j.neuroimage.2026.122058 ER -
APA
A, Z. N., BA, O., & S, P. (2026). What actually matters in multi-compartment EEG head models: A controlled FEM study of parcellation granularity, skull layering, mesh quality, noise, and inverse solver.. NeuroImage. https://doi.org/10.1016/j.neuroimage.2026.122058
Source records
- pubmed · retrieved 2026-09-25T21:44:32.953Z