Predicting future depressive episodes from resting-state fMRI with generative embedding
- DOI
- 10.1016/j.neuroimage.2023.119986
- Published
- 2023-06
- Container
- NeuroImage
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neuroimage.2023.119986,
title = {Predicting future depressive episodes from resting-state fMRI with generative embedding},
author = {Herman Galioulline and Stefan Frässle and Samuel J. Harrison and Inês Pereira and Jakob Heinzle and Klaas Enno Stephan},
year = {2023},
journal = {NeuroImage},
doi = {10.1016/j.neuroimage.2023.119986},
url = {https://doi.org/10.1016/j.neuroimage.2023.119986}
}RIS
TY - JOUR TI - Predicting future depressive episodes from resting-state fMRI with generative embedding AU - Herman Galioulline AU - Stefan Frässle AU - Samuel J. Harrison AU - Inês Pereira AU - Jakob Heinzle AU - Klaas Enno Stephan PY - 2023 JO - NeuroImage DO - 10.1016/j.neuroimage.2023.119986 UR - https://doi.org/10.1016/j.neuroimage.2023.119986 ER -
APA
Galioulline, H., Frässle, S., Harrison, S. J., Pereira, I., Heinzle, J., & Stephan, K. E. (2023). Predicting future depressive episodes from resting-state fMRI with generative embedding. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.119986
Source records
- crossref · retrieved 2026-09-27T08:14:16.027Z