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Discover Oncology|June 1, 2026
A risk stratification framework based on ammonia-induced cell death signatures for prognostic assessment and therapeutic insights in colorectal cancerShuyan Sun, Yinuo Zhao, Zhiqiang Liu, et al.
Journal of Neuroengineering and Rehabilitation|June 18, 2025
Classification of left and right-hand motor imagery in acute stroke patients using EEG microstateShiyang Lv, Xiangying Ran, Mengsheng Xia, et al.
Frontiers in Neuroscience|January 1, 2024
Causal link between prefrontal cortex and EEG microstates: evidence from patients with prefrontal lesionZongya Zhao, Xiangying Ran, Shiyang Lv, et al.
Schizophrenia Research|June 30, 2024
Short-term antipsychotic treatment reduces functional connectivity of the striatum in first-episode drug-naïve early-onset schizophreniaWenyan Hu, Xiangying Ran, Zhaoyang Wu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 5, 2024
Visual Feedback Gain Modulates the Activation of Task-Related Networks and the Suppression of Non-Task Networks During Precise GraspingZhixian Gao, Shiyang Lv, Xiangying Ran, et al.
Frontiers in Human Neuroscience|April 2, 2024
Influencing factors of corticomuscular coherence in stroke patientsZhixian Gao, Shiyang Lv, Xiangying Ran, et al.
BMC Psychiatry|December 3, 2024
Abnormal nonlinear features of EEG microstate sequence in obsessive-compulsive disorderHuicong Ren, Xiangying Ran, Mengyue Qiu, et al.
Brain Research Bulletin|December 17, 2023
Multi feature fusion network for schizophrenia classification and abnormal brain network recognitionChang Wang, Chen Wang, Yaning Ren, et al.
Journal of Affective Disorders|September 12, 2024
Common and differential EEG microstate of major depressive disorder patients with and without response to rTMS treatmentZongya Zhao, Xiangying Ran, Junming Wang, et al.
Journal of Neuroengineering and Rehabilitation|January 20, 2026
EEG microstate features under visual feedback gain conditions exhibit high sensitivity in identifying early Parkinson's disease patientsZhixian Gao, Shiyang Lv, Xiangying Ran, et al.
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