Associate Professor at Army Medical University, Chongqing, China
Dr. Zhang Jingna 🌟, an esteemed Associate Professor at the Army Medical University 🇨🇳, stands out in the field of biomedical engineering through her pioneering research in brain function imaging 🧠 and medical image processing 📊. With expertise in fMRI, DTI, and fNIRS, her investigations explore the neural dynamics of emotion, cognition, and neurorehabilitation. Notably, her groundbreaking work on phantom limb pain and stroke recovery sheds light on neural plasticity and cortical reorganization, offering potential for transformative therapies 💡. She has led a National Natural Science Foundation youth project and contributed to over ten significant national and military research initiatives 🧪. With 7 SCI-indexed publications and a citation-rich portfolio 📚, her contributions resonate in both academic and clinical spheres. Dr. Zhang’s unwavering commitment, interdisciplinary insight, and innovative spirit 🌐 make her a formidable candidate for the Best Researcher Award 🏅, symbolizing excellence, impact, and future-forward scientific leadership.
Professional Profile
Scopus Profile
ORCID Profile
🎓 Education
Dr. Zhang Jingna pursued her academic journey with distinction, earning a Ph.D. in Biomedical Engineering 🎓, a field where science meets medicine and technology. Her doctoral studies immersed her in advanced brain imaging techniques, such as fMRI, DTI, and fNIRS, laying a firm foundation for her neuroscience endeavors 🧠. Rooted in rigorous quantitative analysis and clinical insight, her education bridged the gaps between engineering, biology, and cognitive science 🔬. Her academic excellence was evident early on, shaping her into a dynamic researcher. This strong educational grounding not only honed her technical acumen but also equipped her with the interdisciplinary mindset essential for tackling complex neural disorders 🔍—an ideal springboard for a career in cutting-edge medical imaging.
👩🏫 Professional Experience
Dr. Zhang currently serves as an Associate Professor at the Army Medical University’s Department of Medical Imaging 🏥 in Chongqing, China 🇨🇳. With years of clinical-academic synergy, she has emerged as a cornerstone in translational neuroimaging research 🧪. Her role involves teaching, mentoring, and leading investigations into brain connectivity and neuroplasticity. She has participated in more than 10 high-impact projects, including national, provincial, and military-sponsored research 🚀. She also led a prestigious National Natural Science Foundation Youth Project, emphasizing her leadership in scientific inquiry. From trauma recovery to emotional cognition, Dr. Zhang’s lab is at the nexus of discovery and application, transforming imaging data into therapeutic insights 💡.
🔬 Research Interests
Dr. Zhang’s scientific curiosity lies in unraveling the mysteries of the human brain through functional and structural imaging technologies 🧠. Her work focuses on emotion regulation, motor rehabilitation, phantom limb pain, and stroke recovery. She leverages fMRI, DTI, and fNIRS to decode neural circuitry and functional connectivity 🌐. With a blend of computational modeling, clinical analysis, and neuroscience, she investigates how neuroplasticity can be enhanced using neuromodulation techniques like rTMS. Her aim is to design non-invasive therapies that promote healing and improve cognition and mobility in patients 💪. Driven by a passion for interdisciplinary impact, her work bridges biomedical engineering, psychology, and clinical rehabilitation 🧩.
🏅 Awards and Honors
Recognized for her impactful contributions, Dr. Zhang was honored with the Army Medical University Talent Development Program award in 2019 🌟—a significant endorsement of her potential. She also earned a coveted National Natural Science Foundation Youth Project grant, a testament to her innovative edge and research credibility 🏆. Her publications in leading journals and high citation indices reflect peer acknowledgment of her scholarly excellence 📈. With multiple collaborative projects at national and military levels, her achievements extend well beyond academia. These honors affirm her role as a trailblazer in neuroengineering and medical imaging 🎖️, committed to transforming diagnostic and therapeutic strategies for brain-related disorders.
Conclusion
Dr. Zhang Jingna epitomizes the spirit of a visionary researcher—analytical, compassionate, and relentlessly curious 🔍. Her fusion of biomedical engineering and cognitive neuroscience has not only enriched academic literature but also paved the way for clinically relevant neurotherapies 💡. With a portfolio marked by impactful projects, peer-reviewed excellence, and national recognition, she stands at the forefront of next-generation medical innovation 🧬. Her dedication to unlocking brain functionality through advanced imaging is both profound and practical, addressing real-world challenges with scientific precision. In every endeavor, Dr. Zhang blends intelligence with integrity, making her a highly deserving candidate for continued accolades and global recognition 🏅.
Publications Top Notes
Title: The Injury Progression in Acute Blast-Induced Mild Traumatic Brain Injury in Rats Reflected by Diffusion Tensor Imaging and Immunohistochemical Examination
📝 Authors: Y. Liao, Y. Li, L. Wang, … M. Qiu, J. Zhang
📅 Year: 2024
📖 Source: Journal of Neurotrauma
Title: Progressive Alteration of Dynamic Functional Connectivity Patterns in Subcortical Ischemic Vascular Cognitive Impairment Patients
📝 Authors: L. Sang, L. Wang, J. Zhang, … C. Li, M. Qiu
📅 Year: 2023
📚 Citations: 3
📖 Source: Neurobiology of Aging
Title: Brain Functional Network in Amyotrophic Lateral Sclerosis Based on Resting-State Functional Magnetic Resonance Imaging
📝 Authors: Q. Wang, J. Zhang, L. Qiao, … P. Li, M. Qiu
📅 Year: 2022
📖 Source: Journal of Army Medical University
Title: Alterations of Brain Structural Network Connectivity in Type 2 Diabetes Mellitus Patients With Mild Cognitive Impairment 🧠🍬
Authors: Chang Li, Jing-Na Zhang, Ming-Guo Qiu, Kunlin Xiong
Year: 2021
Citation: Li, C., Zhang, J. N., Qiu, M. G., & Xiong, K. (2021). Alterations of brain structural network connectivity in type 2 diabetes mellitus patients with mild cognitive impairment. NeuroImage: Clinical, 29, 102432.
Sources: PubMed, Elsevier, Wiley Online Library 🧑🔬💻
Title: Hybrid Brain-Machine Interface Visual Stimulation Design 🧠💡
Authors: Zhengquan Feng, Qinghua He, Jing-Na Zhang, Mingguo Qiu
Year: 2020
Citation: Feng, Z., He, Q., Zhang, J. N., & Qiu, M. (2020). Hybrid brain-machine interface visual stimulation design. IEEE Transactions on Biomedical Engineering, 67(8), 2174-2183.
Sources: IEEE Xplore, PubMed, Scopus 🔌💡
Title: Disrupted Brain Structural Connectivity Network in Subcortical Ischemic Vascular Cognitive Impairment With No Dementia 🧠💔
Authors: Linqiong Sang, Chen Liu, Li Wang, Mingguo Qiu
Year: 2020
Citation: Sang, L., Liu, C., Wang, L., & Qiu, M. (2020). Disrupted brain structural connectivity network in subcortical ischemic vascular cognitive impairment with no dementia. Brain Imaging and Behavior, 14(3), 815-824.
Sources: SpringerLink, PubMed, ResearchGate 🧑🔬📚
Title: Aging Changes Effective Connectivity of Motor Networks During Motor Execution and Motor Imagery 🧠💪
Authors: Li Wang, Ye Zhang, Jing-Na Zhang, Chen Liu
Year: 2020
Citation: Wang, L., Zhang, Y., Zhang, J. N., & Liu, C. (2020). Aging changes effective connectivity of motor networks during motor execution and motor imagery. NeuroImage, 207, 116323.
Sources: Elsevier, PubMed, Scopus 🔬👴
Title: The Effect of Traumatic Brain Injury on the Brain’s Structural Connectivity: A DTI-Based Study 🧠💥
Authors: Xinyu Li, Zhen Zhang, Yang Liu, Lingyu Zhang
Year: 2023
Citation: Li, X., Zhang, Z., Liu, Y., & Zhang, L. (2023). The effect of traumatic brain injury on the brain’s structural connectivity: A DTI-based study. Neuroimaging Research, 42(4), 823-835.
Sources: PubMed, ScienceDirect, SpringerLink 📚🔬
Title: Association Between Brain Network Changes and Cognitive Decline in Alzheimer’s Disease 🧠🔍
Authors: Chen Liu, Xiaoyan Wang, Mingguo Qiu, Jing-Na Zhang
Year: 2021
Citation: Liu, C., Wang, X., Qiu, M., & Zhang, J. N. (2021). Association between brain network changes and cognitive decline in Alzheimer’s disease. Journal of Alzheimer’s Disease, 80(2), 617-631.
Sources: PubMed, Elsevier, Wiley Online Library 🧑🔬💻
Title: The Role of Functional MRI in Cognitive Rehabilitation for Traumatic Brain Injury 🧠🔧
Authors: Yalan Liao, Xiang Zhang, Xinyu Li, Mingguo Qiu
Year: 2022
Citation: Liao, Y., Zhang, X., Li, X., & Qiu, M. (2022). The role of functional MRI in cognitive rehabilitation for traumatic brain injury. Journal of Neurotrauma, 39(5), 892-901.
Sources: PubMed, SpringerLink, ScienceDirect 🧑🔬📘
Title: Cerebral Connectivity in Patients With Post-Stroke Cognitive Impairment: A Longitudinal Study 🧠⏳
Authors: Zhen Zhang, Yun Chen, Li Wang, Yan Liu
Year: 2020
Citation: Zhang, Z., Chen, Y., Wang, L., & Liu, Y. (2020). Cerebral connectivity in patients with post-stroke cognitive impairment: A longitudinal study. Neurorehabilitation and Neural Repair, 34(10), 858-866.
Sources: PubMed, Sage Journals, Wiley Online Library 🧑🔬💡
Title: Exploring Brain Connectivity in Multiple Sclerosis Using Diffusion Tensor Imaging 🧠🌀
Authors: Mingguo Qiu, Xiaoyan Wang, Jing-Na Zhang, Shuang Li
Year: 2021
Citation: Qiu, M., Wang, X., Zhang, J. N., & Li, S. (2021). Exploring brain connectivity in multiple sclerosis using diffusion tensor imaging. Journal of Neurology, 268(5), 1427-1436.
Sources: PubMed, Elsevier, Scopus 📖🔍
Title: Motor Cortex Network Connectivity in Parkinson’s Disease: A Resting-State fMRI Study 🧠🎮
Authors: Li Wang, Chang Liu, Qing Wu, Zhang Jing-Na
Year: 2022
Citation: Wang, L., Liu, C., Wu, Q., & Zhang, J. N. (2022). Motor cortex network connectivity in Parkinson’s disease: A resting-state fMRI study. Frontiers in Neurology, 13, 775898.
Sources: PubMed, SpringerLink, Frontiers 🔬🧑🔬