Identifying neuroimaging biomarkers of adolescent major depressive disorder from cortical hemodynamic responses using machine learning approaches.
- DOI
- 10.1016/j.jad.2026.122105
- Published
- 2026 Nov 1
- Container
- Journal of affective disorders
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jad.2026.122105,
title = {Identifying neuroimaging biomarkers of adolescent major depressive disorder from cortical hemodynamic responses using machine learning approaches.},
author = {Liu X and Peng Z and Cheng F and Hu L and Lu C and Zhang W and Song Q and Zhou D},
year = {2026},
journal = {Journal of affective disorders},
doi = {10.1016/j.jad.2026.122105},
url = {https://doi.org/10.1016/j.jad.2026.122105}
}RIS
TY - JOUR TI - Identifying neuroimaging biomarkers of adolescent major depressive disorder from cortical hemodynamic responses using machine learning approaches. AU - Liu X AU - Peng Z AU - Cheng F AU - Hu L AU - Lu C AU - Zhang W AU - Song Q AU - Zhou D PY - 2026 JO - Journal of affective disorders DO - 10.1016/j.jad.2026.122105 UR - https://doi.org/10.1016/j.jad.2026.122105 ER -
APA
X, L., Z, P., F, C., L, H., C, L., W, Z., Q, S., & D, Z. (2026). Identifying neuroimaging biomarkers of adolescent major depressive disorder from cortical hemodynamic responses using machine learning approaches.. Journal of affective disorders. https://doi.org/10.1016/j.jad.2026.122105
Source records
- pubmed · retrieved 2026-09-26T09:39:30.901Z
- europe-pmc · retrieved 2026-09-26T09:39:30.913Z