Dr. Zhengde Wei | Psychology | Best Researcher Award
Associated Professor at University of Science and Technology of China, China
Dr. Zhengde Wei is an accomplished Associate Professor in the Department of Psychology at the University of Science and Technology of China (USTC), where he earned his Ph.D. in Neurobiology. His research focuses on the neural mechanisms underlying addiction, cognitive behavior, and decision-making, utilizing advanced techniques like fMRI. With numerous publications in prestigious journals, including Cereb Cortex and Advanced Science, Dr. Wei has established himself as a prominent figure in neuropsychological research. His work encompasses topics such as internet gaming addiction and the effects of social stress on depression, reflecting his commitment to addressing contemporary psychological issues. In addition to his impressive research contributions, Dr. Wei’s collaborative efforts enhance his impact within the academic community. He is dedicated to advancing knowledge in neuropsychology and aims to integrate emerging technologies into his research, positioning himself as a leader in the field.
Professional Profile
Education🎓
Dr. Zhengde Wei holds a Ph.D. in Neurobiology from the University of Science and Technology of China (USTC), where he studied from September 2012 to June 2017. His doctoral research, supervised by Professor Xiaochu Zhang, focused on the neural mechanisms underlying nicotine addiction and decision-making impairment, utilizing functional magnetic resonance imaging (fMRI) techniques. Prior to his Ph.D., he completed his Bachelor of Science in Bioscience at USTC from September 2008 to June 2012. This strong educational foundation in the biological sciences and neurobiology has equipped Dr. Wei with the necessary skills and knowledge to explore complex cognitive processes and addiction behaviors. His academic training has been instrumental in shaping his research focus and methodologies, enabling him to contribute significantly to the field of cognitive neuropsychology. Dr. Wei’s educational background reflects a commitment to understanding the intricacies of the brain and behavior, positioning him as a leader in neuropsychological research.
Professional Experience💼
Dr. Zhengde Wei is an Associate Professor in the Department of Psychology at the University of Science and Technology of China (USTC), where he has been serving since December 2019. His research primarily focuses on the neural mechanisms of addiction and the impact of emerging technologies on cognitive behavior. Prior to this position, Dr. Wei completed a postdoctoral fellowship at Shanghai Jiaotong University from November 2017 to November 2019, where he investigated the effects of social stress on depression and identified biomarkers for internet gaming addiction. His academic journey has enabled him to develop a multidisciplinary approach, integrating neurobiology with psychological studies. With numerous publications in high-impact journals, Dr. Wei has established a prominent presence in the field of neuropsychology. His professional experience reflects a strong commitment to advancing research and education in psychology, while fostering interdisciplinary collaboration and innovation within the scientific community.
Research Interest📘
Dr. Zhengde Wei’s research interests lie at the intersection of neurobiology and psychology, with a particular focus on understanding the neural mechanisms of addiction and cognitive behavior. His work explores how factors such as nicotine addiction and social stress influence decision-making processes and mental health outcomes. Utilizing advanced neuroimaging techniques like functional magnetic resonance imaging (fMRI), Dr. Wei investigates the brain’s responses to various stimuli and behaviors, contributing to a deeper understanding of addiction disorders, including internet gaming addiction. Additionally, he examines the implications of emerging technologies on cognitive behavior, seeking to understand how digital interactions affect mental health. Dr. Wei’s research not only aims to elucidate the underlying neural pathways of addiction but also strives to develop effective interventions and therapeutic strategies. Through his interdisciplinary approach, he is committed to addressing contemporary psychological challenges and advancing knowledge in cognitive neuropsychology.
Award and Honor🏅
Dr. Zhengde Wei has received several awards and honors that recognize his contributions to the field of neuropsychology and addiction research. His work has been published in numerous prestigious journals, reflecting his commitment to advancing scientific knowledge. Notably, Dr. Wei’s research on the neural mechanisms of addiction and decision-making impairment has garnered attention within the academic community, leading to collaborations with esteemed institutions. He has also been recognized for his innovative approaches in utilizing neuroimaging techniques, such as fMRI, to explore complex cognitive processes. Furthermore, Dr. Wei actively participates in academic conferences and workshops, where he shares his insights and findings, enhancing his visibility in the research community. His dedication to mentoring students and fostering interdisciplinary collaboration has earned him respect among colleagues and peers. These accolades and contributions underscore Dr. Wei’s significant impact on the field and his ongoing commitment to addressing pressing psychological issues through rigorous research.
Conclusion
Zhengde Wei is a highly suitable candidate for the Best Researcher Award, supported by his extensive academic background, significant research contributions, and innovative approaches to current psychological challenges. Addressing areas for improvement, particularly in enhancing the societal impact and outreach of his research, could further solidify his standing as a leader in his field. Recognizing him with this award would not only honor his past accomplishments but also encourage his future contributions to psychology and neurobiology.
Publications top noted📝
- Title: The interaction of oxytocin and nicotine addiction on psychosocial stress: an fMRI study
Authors: Ren, J., Zhang, Y., Song, H., Zhang, X., Wei, Z.
Year: 2024
Citation: Translational Psychiatry, 14(1), 348. - Title: Higher emotional synchronization is modulated by relationship quality in romantic relationships and not in close friendships
Authors: Chen, Y., Liu, S., Hao, Y., Zhang, X., Wei, Z.
Year: 2024
Citation: NeuroImage, 297, 120733. - Title: Separable amygdala activation patterns in the evaluations of robots
Authors: Wei, Z., Chen, Y., Zhao, Q., Li, C., Zhang, X.
Year: 2024
Citation: Cerebral Cortex, 34(2), bhae011. - Title: Impulsivity-related right superior frontal gyrus as a biomarker of internet gaming disorder
Authors: Zhang, P., Pan, Y., Zha, R., Wei, Z., Zhang, X.
Year: 2023
Citation: General Psychiatry, 36(4), e100985. - Title: Implicit Perception of Differences between NLP-Produced and Human-Produced Language in the Mentalizing Network
Authors: Wei, Z., Chen, Y., Zhao, Q., Kadosh, R.C., Zhang, X.
Year: 2023
Citation: Advanced Science, 10(12), 2203990. - Title: Internet gaming disorder and tobacco use disorder share neural connectivity patterns between the subcortical and the motor network
Authors: Chen, H., Zha, R., Lai, X., Liang, P., Zhang, X., Wei, Z.
Year: 2023
Citation: Human Brain Mapping, 44(6), pp. 2607–2619. - Title: Altered white matter functional network in nicotine addiction
Authors: Fan, C., Zha, R., Liu, Y., Pan, Y., Zhang, X.
Year: 2023
Citation: Psychiatry Research, 321, 115073. - Title: Using multisession tDCS stimulation as an early intervention on memory bias processing in subthreshold depression
Authors: Liu, C., Xie, Y., Hao, Y., Pescetelli, N., Zhang, X.
Year: 2023
Citation: Psychophysiology, 60(1), e14148. - Title: How far is brain-inspired artificial intelligence away from brain?
Authors: Chen, Y., Wei, Z., Gou, H., He, X., Zhang, X.
Year: 2022
Citation: Frontiers in Neuroscience, 16, 1096737. - Title: No smoking signs with strong smoking symbols induce weak cravings: an fMRI and EEG study
Authors: Lü, W., Wu, Q., Liu, Y., Borland, R., Zhang, X.
Year: 2022
Citation: NeuroImage, 252, 119019.