Yuxin Ma | Neuroscience | Best Researcher Award

Published on by Innovation Technologist

Dr. Yuxin Ma | Neuroscience | Best Researcher Award

DR at Guangdong Pharmaceutical University, China

Dr. Yuxin Ma is a neuroscientist affiliated with Guangdong Pharmaceutical University. Her research focuses on neuropharmacology, particularly the effects of natural compounds on pain mechanisms and their affective comorbidities. She has made significant contributions to understanding the neural pathways involved in pain processing and has authored a high-impact study on the analgesic effects of astragalin.

Publication Profile 

Scopus

Educational Background 🎓

  • Institution: Guangdong Pharmaceutical University

  • Field of Study: Neuroscience

Professional Experience 💼

  • Designation: Researcher at Guangdong Pharmaceutical University

  • Key Responsibilities: Leading research on neuropharmacology, particularly investigating the therapeutic effects of natural compounds in pain modulation.

Research Interests 🔬

  • Neuropharmacology of natural compounds

  • Neural mechanisms underlying pain and associated affective disorders

  • Autophagy and neuronal excitability in pain pathways

Conclusion🌟

Dr. Yuxin Ma’s research significantly advances the understanding of pain modulation through natural compounds. Her work on astragalin provides groundbreaking insights into its dual role in inhibiting neuronal excitability and promoting autophagy, paving the way for novel neurotherapeutic approaches. She remains committed to expanding the field of neuroscience and neuropharmacology through innovative research and collaboration.

Publications 📚

📄 Article: Astragalin relieves inflammatory pain and negative mood in CFA mice by down-regulating mGluR5 signaling pathway
👥 Authors: R. Zhang, Runheng; J. Lin, Jiahong; S. Wang, Shuhan; … L. Zhang, Li; Y. Ma, Yuxin
📚 Journal: Scientific Reports, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin activates autophagy and inhibits apoptosis of astrocytes in AD mice via down-regulating Fas/Fasl-VDAC1 pathway
👥 Authors: S. Wang, Shuhan; Y. Yang, Yaqi; J. Lin, Jiahong; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: Free Radical Biology and Medicine, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

📄 Article: Astragalin inhibits neuronal excitability and activates neuronal autophagy in the ACC and LH of CFA mice to alleviate inflammatory pain and pain-related emotions
👥 Authors: J. Lin, Jiahong; W. Zhang, Weishan; S. Wang, Shuhan; … X. Jin, Xiaobao; Y. Ma, Yuxin
📚 Journal: International Immunopharmacology, 2025
🔗 Full text: 🚫 Access restricted
📊 Citations: 0

Tianyi Yan | Computational Neuroscience | Best Researcher Award

Published on by Innovation Technologist

Prof. Dr. Tianyi Yan | Computational Neuroscience | Best Researcher Award

Vice Dean at School of Medical Technology, Beijing Institute of Technology, China

Tianyi Yan is a prominent researcher and educator in biomedical engineering, dedicated to exploring innovative solutions for brain health and cognitive enhancement. With numerous accolades and a rich publication record, he is shaping the future of neuroscience and technology integration. 🧠✨

Publication Profile : 

Scopus

 

🎓 Educational Background :

Tianyi Yan obtained a PhD in Biomedical Engineering from Okayama University, Japan, in 2004. He also holds an MSc in Biomedical Engineering from Kagawa University (2003) and a BSc in Electronic Engineering from Changchun University of Science and Technology, China (2001).

💼 Professional Experience :

Currently, he serves as the Vice Dean of the School of Medical Technology and the School of Life Sciences at the Beijing Institute of Technology (BIT) since March 2020. He has been a Professor at BIT since 2016 and the Director of the Department of Biomedical Engineering since July 2018. His academic journey began as a Lecturer at BIT in 2011, followed by a post-doctoral position at Okayama University.

📚 Research Interests : 

His research spans several areas, including Brain Science and Neuronal Engineering, Cognitive Neuroscience, Brain-Computer Interfaces, and non-invasive neuromodulation for brain disease diagnosis. He focuses on developing algorithms to study neural degenerative diseases, designing wearable devices for neural feedback, and advancing brain-controlled technologies.

📝 Publication Top Notes :

  1. Y. Yang, Q. Fan, T. Yan, J. Pei, and G. Li, “Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
  2. Y. Huang, Y. Li, Y. Yuan, X. Zhang, W. Yan, T. Li, Y. Niu, M. Xu, T. Yan, X. Li, D. Li, J. Xiang, B. Wang, and T. Yan, “Beta-informativeness-diffusion multilayer graph embedding for brain network analysis,” Frontiers in Neuroscience, vol. 18, no. 1303741, 2024.
  3. S. Liu, M. Liu, D. Zhang, Z. Ming, Z. Liu, Q. Chen, L. Ma, J. Luo, J. Zhang, D. Suo, G. Pei, and T. Yan, “Brain-Controlled Hand Exoskeleton Based on Augmented Reality-Fused Stimulus Paradigm,” IEEE Journal of Biomedical and Health Informatics, 2024.
  4. S. Liu, Z. Ming, M. Liu, D. Zhang, Z. Liu, Q. Chen, L. Ma, J. Luo, D. Suo, J. Zhang, and T. Yan, “Remote-Oriented Brain-Controlled Unmanned Aerial Vehicle for IoT,” IEEE Internet of Things Journal, 2024.
  5. J. Wu, L. Ma, D. Luo, Z. Jin, L. Wang, L. Wang, T. Li, J. Zhang, T. Liu, D. Lv, T. Yan, and B. Fang, “Functional and structural gradients reveal atypical hierarchical organization of Parkinson’s disease,” Human Brain Mapping, vol. 45, no. 4, e26647, 2024.
  6. J. Lu, T. Yan, L. Yang, X. Zhang, J. Li, D. Li, J. Xiang, and B. Wang, “Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability,” NeuroImage, vol. 295, 2024, pp. 120651.
  7. M. Yao, O. Richter, G. Zhao, N. Qiao, Y. Xing, D. Wang, T. Hu, W. Fang, T. Demirci, M.D. Marchi, L. Deng, T. Yan, C. Nielsen, S. Sheik, C. Wu, Y. Tian, B. Xu, and G. Li, “Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,” Nature Communications, vol. 15, no. 1, p. 4464, 2024.
  8. G. Wang, N. Jiang, Y. Ma, T. Liu, D. Chen, J. Wu, G. Li, D. Liang, and T. Yan, “Connectional-style-guided contextual representation learning for brain disease diagnosis,” Neural Networks, vol. 175, 2024, pp. 106296.
  9. G. Wang, N. Jiang, Y. Ma, D. Suo, T. Liu, S. Funahashi, and T. Yan, “Using a deep generation network reveals neuroanatomical specificity in hemispheres,” Patterns, vol. 5, no. 4, 2024.
  10. G. Wang, N. Jiang, T. Liu, L. Wang, D. Suo, D. Chen, S. Funahashi, and T. Yan, “Using unsupervised capsule neural network reveal spatial representations in the human brain,” Human Brain Mapping, vol. 45, no. 5, e26573, 2024.
  11. L. Wang, S. Li, L. Gong, Z. Zheng, Y. Chen, G. Chen, and T. Yan, “Right parietal repetitive transcranial magnetic stimulation in obsessive-compulsive disorder: A pilot study,” Asian Journal of Psychiatry, vol. 93, Mar. 2024, pp. 103902.
  12. T. Li, T. Liu, J. Zhang, Y. Ma, G. Wang, D. Suo, B. Yang, X. Wang, S. Funahashi, K. Zhang, B. Fang, and T. Yan, “Neurovascular coupling dysfunction of visual network organization in Parkinson’s disease,” Neurobiology of Disease, 2023, pp. 106323.
  13. J. Zhang, Y. Yang, T. Liu, Z. Shi, G. Pei, L. Wang, J. Wu, S. Funahashi, D. Suo, C. Wang, and T. Yan, “Functional connectivity in people at clinical and familial high risk for schizophrenia,” Psychiatry Research, vol. 328, 2023, pp. 115464.
  14. T. Yan, G. Wang, T. Liu, G. Li, C. Wang, and D. Suo, G. Pei, “Effects of Microstate Dynamic Brain Networks Disruption in Different Stages of Schizophrenia,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, 2023, pp. 2688-2697.
  15. T. Li, L. Wang, Z. Piao, K. Chen, X. Yu, Q. Wen, D. Suo, C. Zhang, S. Funahashi, G. Pei, B. Fang, and T. Yan, “Altered Neurovascular Coupling for Multidisciplinary Intensive Rehabilitation in Parkinson’s Disease,” The Journal of Neuroscience, vol. 1, no. 1, 2023, pp. 1204-1222.