Jianbao Wang

Affiliations: 
ZIINT, Zhejiang University 
Area:
fMRI
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"Jianbao Wang"
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Parents

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Yu-Feng Zang grad student 2014-2017 HZNU
Anna W. Roe grad student 2018-2022 Zhejiang University
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Publications

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Ping A, Wang J, García Cabezas MÁ, et al. (2024) Brainwide mesoscale functional networks revealed by focal infrared neural stimulation of the amygdala. Biorxiv : the Preprint Server For Biology
Wang J, Du X, Yao S, et al. (2024) Mesoscale organization of ventral and dorsal visual pathways in macaque monkey revealed by 7T fMRI. Progress in Neurobiology. 102584
Lou F, Tang X, Quan Z, et al. (2023) A 16-channel loop array for in vivo macaque whole-brain imaging at 7 T. Magnetic Resonance Imaging
Yao S, Shi S, Zhou Q, et al. (2023) Functional topography of pulvinar-visual cortex networks in macaques revealed by INS-fMRI. The Journal of Comparative Neurology
Wang J, Nasr S, Roe AW, et al. (2022) Critical factors in achieving fine-scale functional MRI: Removing sources of inadvertent spatial smoothing. Human Brain Mapping
Luo FF, Wang JB, Yuan LX, et al. (2020) Higher Sensitivity and Reproducibility of Wavelet-Based Amplitude of Resting-State fMRI. Frontiers in Neuroscience. 14: 224
Jiang K, Wang J, Zheng A, et al. (2020) Amplitude of low-frequency fluctuation of resting-state fMRI in primary nocturnal enuresis and attention deficit hyperactivity disorder. International Journal of Developmental Neuroscience : the Official Journal of the International Society For Developmental Neuroscience
Xu AG, Qian M, Tian F, et al. (2019) Focal infrared neural stimulation with high-field functional MRI: A rapid way to map mesoscale brain connectomes. Science Advances. 5: eaau7046
Yuan LX, Wang JB, Zhao N, et al. (2018) Intra- and Inter-scanner Reliability of Scaled Subprofile Model of Principal Component Analysis on ALFF in Resting-State fMRI Under Eyes Open and Closed Conditions. Frontiers in Neuroscience. 12: 311
Zhou Z, Wang JB, Zang YF, et al. (2017) PAIR Comparison between Two Within-Group Conditions of Resting-State fMRI Improves Classification Accuracy. Frontiers in Neuroscience. 11: 740
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