Zhengkun Long | Cognitive Neuroscience | Best Researcher Award

Dr. Zhengkun Long | Cognitive Neuroscience | Best Researcher Award 

Dr. Zhengkun Long is a cognitive neuroscientist at the School of Psychology, Shenzhen University. He earned his Ph.D. in Cognitive Psychology from the Institute of Psychology, Chinese Academy of Sciences, where he studied the neural mechanisms of mind wandering and its effects on motor control and semantic processing. His research combines EEG and behavioral methods to explore how spontaneous thoughts influence sensory-motor functions and brain dynamics. Dr. Long is skilled in programming, EEG/fMRI data analysis, and experimental design, and has published in leading journals such as PNAS, NeuroImage, and Journal of Cognitive Neuroscience.

Dr. Zhengkun Long | Shenzhen University | China

Profile 

https://www.scopus.com/authid/detail.uri?authorId=57299929900

ORCID ID

🎓Education

  • Dr. Zhengkun Long earned his Ph.D. in Cognitive Psychology from the Institute of Psychology, Chinese Academy of Sciences (2019.09–2024.06), under the supervision of Prof. Xiaolan Fu. He completed his undergraduate studies at Wuhan University, obtaining a B.S. from the Economics and Management School (2012.09–2018.06). During his undergraduate years, he served two years (2015.09–2017.09) in an army unit of the Chinese People’s Liberation Army.

👨‍🏫Experience

  • Dr. Long’s research focuses on the cognitive neuroscience of mind wandering, with particular emphasis on its effects on motor control, semantic processing, and brain dynamics. Since January 2024, he has been investigating the neurodynamics of on- and off-task thoughts using EEG-based metrics such as autocorrelation window (ACW), Lempel-Ziv complexity (LZC), and power-law exponent (PLE). He is also exploring how task difficulty and attention levels influence sensory and motor phase coherence during mind wandering. His previous projects (2020–2023) examined how mind wandering impairs motor control and affects the processing of Chinese compound words, particularly considering factors like movement difficulty and word familiarity

🤝Awards and Honors

  • Dr. Long has published in high-impact journals, including the Proceedings of the National Academy of Sciences of the United States of America (PNAS), NeuroImage, and the Journal of Cognitive Neuroscience. His research has been co-authored with prominent neuroscientists such as Georg Northoff and Prof. Xiaolan Fu, reflecting the significance and collaborative nature of his scientific contributions.

💡Skills and Certifications

  • Dr. Long is proficient in MATLAB, Python, and Unix for programming and experimental design. He has extensive experience in EEG data analysis, including time-frequency analysis, functional connectivity, and aperiodic signal analysis. He also has training in fMRI data analysis using FSL and is skilled in utilizing PsychoPy and Psychtoolbox for psychological experiment programming

🔬Research Focus

  • Dr. Long’s core research interests lie at the intersection of attention, mind wandering, and neural mechanisms. He aims to understand how internally directed thought processes influence external sensory and motor functions. His work combines behavioral experiments with advanced neuroimaging techniques to uncover the temporal and functional architecture of spontaneous thought and its consequences on task performance

🌎Conclusion

  • Dr. Zhengkun Long exemplifies the qualities of a Best Researcher Award recipient: intellectual curiosity, methodological excellence, and impactful scholarship. His forward-thinking research on brain dynamics and cognition makes a meaningful contribution to neuroscience and positions him as a rising leader in his field. He is highly deserving of this recognition.

📖Publications

  • How mind wandering influences motor control: The modulating role of movement difficulty
    Authors: Zhengkun Long, Qiufang Fu, Xiaolan Fu
    Journal: NeuroImage

  • Word Familiarity Modulates the Interference Effects of Mind Wandering on Semantic and Reafferent Information Processing
    Authors: Zhengkun Long, Qiufang Fu, Xiaolan Fu
    Journal: Journal of Cognitive Neuroscience

  • Unpredictable fearful stimuli disrupt timing activities: Evidence from event-related potentials
    Authors: Qian Cui, Mingtong Liu, Chang Hong Liu, Zhengkun Long, Ke Zhao, Xiaolan Fu
    Journal: Neuropsychologia

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Dr. Rui Sun | Neuroscience | Best Researcher Award

Dr. Rui Sun | Neuroscience | Best Researcher Award

Sun Rui is a Ph.D. student at Zhejiang University, specializing in the intersection of neuroscience and biomedical engineering. His research focuses on the neural mechanisms of mood disorders, exploring brain electrical signals and their role in emotional abnormalities. Utilizing advanced techniques such as microscopy imaging, circuit tracing, electrophysiological recordings, and machine learning, he investigates neural activity patterns and functional changes associated with affective disorders. With a strong interdisciplinary background from the School of Medicine and the Department of Biomedical Engineering, Sun Rui aims to advance our understanding of emotional pathogenesis and develop innovative therapeutic approaches.

Dr. Rui Sun | zhejiang university | China

Profile

SCOPUS  ID

🎓 Education

  • Sun Rui is currently pursuing a Ph.D. at Zhejiang University. He spent the initial three years of his doctoral studies at the School of Medicine, where he focused on the neural mechanisms underlying mood disorders. Later, he transitioned to the Department of Biomedical Engineering, seeking to bridge the fields of engineering and biomedical sciences.

💼 Experience

  • Sun Rui’s academic journey encompasses diverse interdisciplinary expertise. During his time at the School of Medicine, he conducted in-depth research on affective disorders, combining neuroscience and behavioral science. His transition to Biomedical Engineering has further expanded his skillset, enabling him to approach complex biomedical challenges with engineering principles and methodologies.

 🏆 Honors and Awards

  • Throughout his academic career, Sun Rui has been recognized for his innovative approach to neuroscience and engineering. His research contributions have earned accolades at multiple academic conferences and institutional forums.

🛠️ Skills and Certifications

  • Sun Rui is proficient in a variety of advanced techniques, including animal behavioral experiments, microscopy imaging, circuit tracing, multichannel in vivo electrophysiological recordings, and machine learning applications. He also excels in neural network analysis to interpret complex brain activity patterns.

🔬 Research Focus

  • Sun Rui’s research investigates the differences in brain electrical signals associated with emotional abnormalities and their underlying pathogenesis. By integrating cutting-edge techniques such as animal behavioral experiments, imaging, and electrophysiological recordings with machine learning, he explores the neural activity patterns and functional changes linked to affective disorders. His interdisciplinary approach aims to uncover novel insights into the mechanisms driving mood disorders and develop innovative strategies for intervention.

Conclusion

  • Sun Rui is a strong candidate for the Research for Best Researcher Award due to his significant contributions to understanding mood disorders through advanced neuroengineering techniques. Emphasizing his academic achievements through publications, collaborations, and translational outcomes would further strengthen his case for the award.

📄Publications

  • C3aR in the medial prefrontal cortex modulates the susceptibility to LPS-induced depressive-like behaviors through glutamatergic neuronal excitability
    Authors: Sun, R., Tang, M.-Y., Yang, D., Li, X.-M., Lian, H.
    Journal: Progress in Neurobiology, 2024, 236, 102614
  • The dorsal hippocampal CA3 regulates spatial reference memory through the CtBP2/GluR2 pathway
    Authors: Han, J.-X., Wen, C.-X., Sun, R., Li, X.-M., Lian, H.
    Journal: FASEB Journal, 2022, 36(9), e22456
  • ErbB4 regulate extracellular dopamine through the p38 MAPK signaling pathway
    Authors: Cao, S.-X., Wen, C.-X., Sun, R., Li, X.-M., Lian, H.
    Journal: Neuroscience Letters, 2021, 751, 135830