Machine learning and graph-based connectivity metrics identify language disruption in psychosis: Novel insights from dream reports in an Italian cohort.
- DOI
- 10.1016/j.schres.2025.10.017
- Published
- 2025 Dec
- Container
- Schizophrenia research
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.schres.2025.10.017,
title = {Machine learning and graph-based connectivity metrics identify language disruption in psychosis: Novel insights from dream reports in an Italian cohort.},
author = {Camon E and Masier S and Mota NB and D'Agostino A},
year = {2025},
journal = {Schizophrenia research},
doi = {10.1016/j.schres.2025.10.017},
url = {https://doi.org/10.1016/j.schres.2025.10.017}
}RIS
TY - JOUR TI - Machine learning and graph-based connectivity metrics identify language disruption in psychosis: Novel insights from dream reports in an Italian cohort. AU - Camon E AU - Masier S AU - Mota NB AU - D'Agostino A PY - 2025 JO - Schizophrenia research DO - 10.1016/j.schres.2025.10.017 UR - https://doi.org/10.1016/j.schres.2025.10.017 ER -
APA
E, C., S, M., NB, M., & A, D. (2025). Machine learning and graph-based connectivity metrics identify language disruption in psychosis: Novel insights from dream reports in an Italian cohort.. Schizophrenia research. https://doi.org/10.1016/j.schres.2025.10.017
Source records
- pubmed · retrieved 2026-09-25T13:43:36.920Z