Boyi Qu
Ph.D., Postdoctoral Fellow
Personal Profile：
I received my B.Eng. degree in Measurement, Control Technology and Instrumentation from Nanjing Normal University in 2017, and completed my Ph.D. in Biomedical Engineering at Zhejiang University in 2024. My research focuses on the neural encoding mechanisms of tactile perception and its functional network representation of the brain. By integrating multimodal neuroimaging with electrophysiological recordings techniques, I try to explore the relationships between brain connectivity and behavioral performance, aiming to advance the understanding of sensorimotor integration and lay the groundwork for applications in brain–machine interface (BMI) systems.
Research Interests:
To investigate the neuroimaging characteristics of sensorimotor representations and their key applications in BMI technologies. I employ psychophysical paradigms to assess tactile–motor performance and utilize multimodal magnetic resonance imaging (MRI) —including structural MRI, functional MRI, diffusion tensor imaging (DTI), and arterial spin labeling (ASL)—to examine the coupling between brain network connectivity, pathological changes, and behavioral features. I also apply advanced neuromodulation approaches such as transcranial focused ultrasound (FUS) and infrared neural stimulation (INS) to investigate the encoding mechanisms and interregional connectivity of tactile information in motor feedback regulation, providing theoretical and methodological foundations for sensory decoding in BMI applications.
Representative Publications：
1. Qu BY, Tan XJ, Tang Z, Friedman RM, Wang HM, Lan L, Schriver KE, Pan G, Lai HY* (2023 Dec) Unveiling interactions of spatial-temporal information in tactile motion perception, bioRxiv/Scientific Reports (under review), doi: 10.1101/2023.12.11.571089
2. Shen T#, Pu JL#, Jiang YS, Yue YM, He TT, Qu BY, Zhao SA, Yan YP, Lai HY*, Zhang BR* (2023 May) Impact of cognitive related single nucleotide polymorphisms on brain phenotype in Parkinson's disease, Neural Regen Res, 18(5):1154-1160
3. Xie JJ, Li XY, Dong Y, Chen C, Qu BY, Wang S, Xu H, Roe AW, Lai HY, Wu ZY. Local and Global Abnormalities in Pre-symptomatic Huntington's Disease Revealed by 7T Resting-state Functional MRI. Neurosci Bull. 2023 Jan;39(1):94-98. doi: 10.1007/s12264-022-00943-5. Epub 2022 Aug 29. PMID: 36036300; PMCID: PMC9849632.
4. Chen BW#, Yang SH#, Kuo CH, Chen JW, Lo YC, Kuo YT, Lin YC, Chen HC, Lin SH, Yu X, Qu BY, Ro V SC, Lai HY*, Chen YY* (2022, Jun) Neuro-inspired reinforcement learning to improve trajectory prediction in reward-guided behavior, Int J Neural Syst, 32(9):2250038.
5. Shen T*, Yue YM, He TT, Huang C, Qu BY, Lv W, Lai HY* (2021) The association between the gut microbiota and Parkinson's disease, a systematic review and meta-analysis, Front Aging Neurosci, 13:636545, doi: 10.3389/fnagi.2021.636545.
6. Chen BW#, Yang SH#, Lo YC, Wang CF, Wang HL, Hsu CY, Kuo YT, Chen JC, Lin SH, Pan HC, Lee QW, Yu X, Qu BY, Kuo CH, Chen YY*, Lai HY* (2020 Sep) Enhancement of hippocampal spatial decoding using a dynamic q-learning method with a relative reward using theta phase precession, Int J Neural Syst, 30(9):2050048
