Multimodal EEG–fNIRS classification as a clinical tool for bipolar disorder diagnosis
- DOI
- 10.1038/s41398-026-03858-1
- Published
- 2026-03-10
- Container
- Translational Psychiatry
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41398-026-03858-1,
title = {Multimodal EEG–fNIRS classification as a clinical tool for bipolar disorder diagnosis},
author = {I. Tahir and A. Planat-Chrétien and A. Bertrand and M. Linder and C. Dondé and R. Sosnik and M. Polosan},
year = {2026},
journal = {Translational Psychiatry},
doi = {10.1038/s41398-026-03858-1},
url = {https://doi.org/10.1038/s41398-026-03858-1}
}RIS
TY - JOUR TI - Multimodal EEG–fNIRS classification as a clinical tool for bipolar disorder diagnosis AU - I. Tahir AU - A. Planat-Chrétien AU - A. Bertrand AU - M. Linder AU - C. Dondé AU - R. Sosnik AU - M. Polosan PY - 2026 JO - Translational Psychiatry DO - 10.1038/s41398-026-03858-1 UR - https://doi.org/10.1038/s41398-026-03858-1 ER -
APA
Tahir, I., Planat-Chrétien, A., Bertrand, A., Linder, M., Dondé, C., Sosnik, R., & Polosan, M. (2026). Multimodal EEG–fNIRS classification as a clinical tool for bipolar disorder diagnosis. Translational Psychiatry. https://doi.org/10.1038/s41398-026-03858-1
Source records
- crossref · retrieved 2026-09-27T15:44:30.185Z