Reconceptualizing psychiatric functional near-infrared spectroscopy: From surface hemodynamics to machine learning-derived deep network inference

Takahiko Nagamine

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DOI: 10.1016/j.ajp.2026.105204
Published: 2026-12
Container: Asian Journal of Psychiatry
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.ajp.2026.105204,
  title = {Reconceptualizing psychiatric functional near-infrared spectroscopy: From surface hemodynamics to machine learning-derived deep network inference},
  author = {Takahiko Nagamine},
  year = {2026},
  journal = {Asian Journal of Psychiatry},
  doi = {10.1016/j.ajp.2026.105204},
  url = {https://doi.org/10.1016/j.ajp.2026.105204}
}

RIS

TY  - JOUR
TI  - Reconceptualizing psychiatric functional near-infrared spectroscopy: From surface hemodynamics to machine learning-derived deep network inference
AU  - Takahiko Nagamine
PY  - 2026
JO  - Asian Journal of Psychiatry
DO  - 10.1016/j.ajp.2026.105204
UR  - https://doi.org/10.1016/j.ajp.2026.105204
ER  -

APA

Nagamine, T. (2026). Reconceptualizing psychiatric functional near-infrared spectroscopy: From surface hemodynamics to machine learning-derived deep network inference. Asian Journal of Psychiatry. https://doi.org/10.1016/j.ajp.2026.105204

Source records

crossref · retrieved 2026-11-09T20:37:54.311Z