Towards precision EEG connectomics: Evaluating the benefits of dense sampling
- DOI
- 10.1162/imag.a.1245
- Published
- 2026
- Container
- Imaging Neuroscience
- Publisher
- MIT Press
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1162/imag.a.1245,
title = {Towards precision EEG connectomics: Evaluating the benefits of dense sampling},
author = {Kirk Graff and Shefali Rai and Shelly Yin and Kate J. Godfrey and Daria Merrikh and Ryann Tansey and Tamara Vanderwal and Andrea B. Protzner and Signe Bray},
year = {2026},
journal = {Imaging Neuroscience},
doi = {10.1162/imag.a.1245},
url = {https://doi.org/10.1162/imag.a.1245}
}RIS
TY - JOUR TI - Towards precision EEG connectomics: Evaluating the benefits of dense sampling AU - Kirk Graff AU - Shefali Rai AU - Shelly Yin AU - Kate J. Godfrey AU - Daria Merrikh AU - Ryann Tansey AU - Tamara Vanderwal AU - Andrea B. Protzner AU - Signe Bray PY - 2026 JO - Imaging Neuroscience DO - 10.1162/imag.a.1245 UR - https://doi.org/10.1162/imag.a.1245 ER -
APA
Graff, K., Rai, S., Yin, S., Godfrey, K. J., Merrikh, D., Tansey, R., Vanderwal, T., Protzner, A. B., & Bray, S. (2026). Towards precision EEG connectomics: Evaluating the benefits of dense sampling. Imaging Neuroscience. https://doi.org/10.1162/imag.a.1245
Source records
- crossref · retrieved 2026-09-25T03:04:39.065Z