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Frontiers in Psychiatry|January 22, 2026
Toward precision psychological rehabilitation: predicting CBT efficacy in post-stroke depression using machine learningJingyuan Lin, Jiansong YuFrontiers in Psychiatry|February 13, 2026
Correction: Toward precision psychological rehabilitation: predicting CBT efficacy in post-stroke depression using machine learningJingyuan Lin, Jiansong YuNeurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|March 12, 2026
BDNF Val66Met polymorphism modulates early TMS-EEG plasticity and rTMS efficacy in patients with anterior circulation ischemic strokeJingyuan LinTherapeutic Advances in Psychopharmacology|December 19, 2025
Predicting rTMS treatment response in schizophrenia using interpretable machine learning: a SHAP-based analysisJingyuan LinJournal of the College of Physicians and Surgeons--Pakistan : JCPSP|March 6, 2026
Atypical Guillain-Barre Syndrome with Positive Pyramidal Tract Signs and Anti-GM2 IgM AntibodyJingyuan LinClinical Biomechanics (Bristol, Avon)|December 6, 2025
Gait analysis and prediction in Parkinson's disease using rhythmic auditory stimulation: A data-driven approach with machine learning modelsJingyuan LinClinical EEG and Neuroscience|December 2, 2025
Visual Evoked Potentials as a Biomarker for Visual Hallucination Pathway Integrity in Late-Stage Alzheimer's DiseaseJingyuan LinPsychological Research|July 15, 2019
Conditional automaticity: interference effects on the implicit memory retrieval processJingyuan Lin, Yingfang Meng, Wuji LinFrontiers in Bioengineering and Biotechnology|January 26, 2026
Multimodal machine learning to predict response to ultrasound-guided botulinum and vibration therapy in muscle spasticity a clinical and imaging correlation studyHu Chen, Jingyuan Lin, Huini LuFrontiers in Psychology|May 9, 2024
Cognitive mechanisms and neurological foundations of companion animals' role in enhancing human psychological well-beingHeng Liu, Jingyuan Lin, Wuji LinPageof 5