Decoding everyday levels of musical training from subcortical white-matter architecture.
- DOI
- 10.1162/imag.a.1325
- Published
- 2026
- Container
- Imaging neuroscience (Cambridge, Mass.)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1162/imag.a.1325,
title = {Decoding everyday levels of musical training from subcortical white-matter architecture.},
author = {Lumaca M and Pearce MT and Keller PE and Vuust P and Brattico E and Baggio G and Hat K and Heggli OA and Sandberg K},
year = {2026},
journal = {Imaging neuroscience (Cambridge, Mass.)},
doi = {10.1162/imag.a.1325},
url = {https://doi.org/10.1162/imag.a.1325}
}RIS
TY - JOUR TI - Decoding everyday levels of musical training from subcortical white-matter architecture. AU - Lumaca M AU - Pearce MT AU - Keller PE AU - Vuust P AU - Brattico E AU - Baggio G AU - Hat K AU - Heggli OA AU - Sandberg K PY - 2026 JO - Imaging neuroscience (Cambridge, Mass.) DO - 10.1162/imag.a.1325 UR - https://doi.org/10.1162/imag.a.1325 ER -
APA
M, L., MT, P., PE, K., P, V., E, B., G, B., K, H., OA, H., & K, S. (2026). Decoding everyday levels of musical training from subcortical white-matter architecture.. Imaging neuroscience (Cambridge, Mass.). https://doi.org/10.1162/imag.a.1325
Source records
- pubmed · retrieved 2026-09-26T05:00:32.418Z