Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features.
- DOI
- 10.1002/brb3.71791
- Published
- 2026 Sep
- Container
- Brain and behavior
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1002/brb3.71791,
title = {Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features.},
author = {Hou B and Wen Q and Wang Y and Zhang R and Chen X and Li Y and Wang Y and Xie Y},
year = {2026},
journal = {Brain and behavior},
doi = {10.1002/brb3.71791},
url = {https://doi.org/10.1002/brb3.71791}
}RIS
TY - JOUR TI - Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features. AU - Hou B AU - Wen Q AU - Wang Y AU - Zhang R AU - Chen X AU - Li Y AU - Wang Y AU - Xie Y PY - 2026 JO - Brain and behavior DO - 10.1002/brb3.71791 UR - https://doi.org/10.1002/brb3.71791 ER -
APA
B, H., Q, W., Y, W., R, Z., X, C., Y, L., Y, W., & Y, X. (2026). Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features.. Brain and behavior. https://doi.org/10.1002/brb3.71791
Source records
- pubmed · retrieved 2026-09-24T18:31:18.369Z