Development and Validation of a Nomogram Model for Predicting the Severity of Post-Stroke Dysphagia Based on fNIRS-Derived Brain Functional Connectivity Features.

Hou B, Wen Q, Wang Y, Zhang R, Chen X, Li Y, Wang Y, Xie Y

Open source

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

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