ORIGINAL RESEARCH article

Front. Neurol.

Sec. Stroke

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1524851

Predicting Upper Limb Motor Dysfunction After Ischemic Stroke: A Functional Near-Infrared Spectroscopy (fNIRS)-Based Nomogram Model

Provisionally accepted
Menghui  LiuMenghui LiuChunxiao  WanChunxiao Wan*Chunyan  WangChunyan WangXinyi  LiXinyi Li
  • Tianjin Medical University General Hospital, Tianjin, China

The final, formatted version of the article will be published soon.

Background: This study aimed to identify independent risk factors for upper limb motor functional recovery in ischemic stroke patients three months post-stroke and construct a predictive model using fNIRS data.Methods: The study included 114 ischemic stroke patients, divided into a training group (n=80) and a validation group (n=34). LASSO regression selected variables related to the FMA-UE score three months later from fNIRS data. Logistic regression analysis determined the independent risk factors. A nomogram was constructed to predict the probability of upper limb motor dysfunction scores after stroke. The model's discriminative ability was assessed using AUC, and clinical net benefit was evaluated using DCA.Results: LASSO regression selected seven variables, with five identified as independent risk factors: A_A_dxy_DLPFC_to_Temporal, A_UA_oxy_DLPFC_to_PSMC, A_UA_total_Temporal_to_DLPFC, UA_UA_dxy_Temporal_to_Frontopolar, and UA_UA_total_PSMC_to_PMC. The nomogram's AUC was 0.971 in the training dataset and 0.804 in the testing dataset. DCA showed good clinical net benefit in both cohorts.Conclusion: This pilot study successfully constructed a predictive model based on fNIRS data to forecast the risk factors for upper limb motor functional recovery three months after ischemic stroke, providing a valuable tool for clinical decision-making and treatment planning.

Keywords: Ischemic stroke1, Upper Limb Motor Function2, Functional Near-Infrared Spectroscopy 3, predictive model4, Nomogram5

Received: 11 Nov 2024; Accepted: 28 Mar 2025.

Copyright: © 2025 Liu, Wan, Wang and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Chunxiao Wan, Tianjin Medical University General Hospital, Tianjin, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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