J
Jing Yang
Researcher at Sichuan University
Publications - 5
Citations - 96
Jing Yang is an academic researcher from Sichuan University. The author has contributed to research in topics: Yield (engineering) & Multiple comparisons problem. The author has an hindex of 4, co-authored 5 publications receiving 51 citations. Previous affiliations of Jing Yang include University of Florida.
Papers
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Journal ArticleDOI
Multimodal dopaminergic and free-water imaging in Parkinson's disease.
Jing Yang,Jing Yang,Derek B. Archer,Roxana G. Burciu,Martijn L.T.M. Müller,Arnab Roy,Edward Ofori,Nicolaas I. Bohnen,Roger L. Albin,David E. Vaillancourt +9 more
TL;DR: Findings suggest that free-water in the posterior substantia nigra and presynaptic dopamine imaging in striatum are uniquely associated with the clinical symptoms of PD, indicating that each imaging modality may be measuring a unique mechanism relevant to nigrostriatal degeneration.
Journal ArticleDOI
Small P values may not yield robust findings: an example using REST-meta-PD
Xi Ze Jia,Na Zhao,Hao Ming Dong,Jia Wei Sun,M. Barton,Roxana G. Burciu,Nicolas Carrière,Antonio Cerasa,Bo Yu Chen,Jun Chen,Stephen A. Coombes,Luc Defebvre,Christine Delmaire,Kathy Dujardin,Fabrizio Esposito,Guo Guang Fan,Federica Di Nardo,Yi Xuan Feng,Brett W. Fling,Saurabh Garg,Saurabh Garg,Moran Gilat,Martin Gorges,Shu-Leong Ho,Fay B. Horak,Xiao Hu,Xiao Fei Hu,Biao Huang,Peiyu Huang,Ze Juan Jia,Christina Jones,Jan Kassubek,Lenka Krajcovicova,Ajay S. Kurani,Jing Li,Qing Li,Aiping Liu,Bo Liu,Hu Liu,Weiguo Liu,Renaud Lopes,Yu Ting Lou,Wei Luo,Tara M. Madhyastha,Ni Ni Mao,Grainne M. McAlonan,Grainne M. McAlonan,Grainne M. McAlonan,Martin J. McKeown,Shirley Yin-Yu Pang,Andrea Quattrone,Irena Rektorová,Alessia Sarica,Hui Fang Shang,James M. Shine,Priyank Shukla,Tomáš Slavíček,Xiaopeng Song,Gioacchino Tedeschi,Alessandro Tessitore,David E. Vaillancourt,Jian Wang,Jue Wang,Z. Jane Wang,Lu Qing Wei,Xia Wu,Xiao Jun Xu,Lei Yan,Jing Yang,Wan Qun Yang,Nailin Yao,De Long Zhang,Jiu Quan Zhang,Min Ming Zhang,Yan Ling Zhang,Cai Hong Zhou,Chao-Gan Yan,Xi-Nian Zuo,Mark Hallett,Tao Wu,Yu-Feng Zang +80 more
Journal ArticleDOI
Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging.
TL;DR: A variety of structural imaging biomarkers are promising candidates to be progression biomarkers in PD and the most clinical trial-ready biomarker is free-water diffusion imaging of the substantia nigra, which seems well established to be used in disease-modifying studies in PD.
Posted ContentDOI
Small effect size leads to reproducibility failure in resting-state fMRI studies
Xi-Ze Jia,Na Zhao,Barek Barton,Roxana G. Burciu,Nicolas Carrière,Antonio Cerasa,Bo-Yu Chen,Jun Chen,Stephen A. Coombes,Luc Defebvre,Christine Delmaire,Kathy Dujardin,Fabrizio Esposito,Guo-Guang Fan,Di Nardo Federica,Yi-Xuan Feng,Brett W. Fling,Saurabh Garg,Moran Gilat,Martin Gorges,Shu-Leong Ho,Fay B. Horak,Xiao Hu,Xiao-Fei Hu,Biao Huang,Peiyu Huang,Ze-Juan Jia,Christy Jones,Jan Kassubek,Lenka Krajcovicova,Ajay S. Kurani,Jing Li,Qian Li,Aiping Liu,Bo Liu,Hu Liu,Weiguo Liu,Renaud Lopes,Yuting Lou,Wei Luo,Tara M. Madhyastha,Ni-Ni Mao,Grainne M. McAlonan,Martin J. McKeown,Shirley Yy Pang,Aldo Quattrone,Irena Rektorová,Alessia Sarica,Hui Fang Shang,James M. Shine,Priyank Shukla,Tomáš Slavíček,Xiaopeng Song,Gioacchino Tedeschi,Alessandro Tessitore,David E. Vaillancourt,Jian Wang,Jue Wang,Z. Jane Wang,Lu-Qing Wei,Xia Wu,Xiaojun Xu,Lei Yan,Jing Yang,Wan-Qun Yang,Nailin Yao,Delong Zhang,Jiu-Quan Zhang,Minming Zhang,Yan-Ling Zhang,Cai-Hong Zhou,Chao-Gan Yan,Xi-Nian Zuo,Mark Hallett,Tao Wu,Yu-Feng Zang +75 more
TL;DR: To achieve high reproducibility through meta-analysis, the neuroimaging research field should share raw data or, at minimum, provide un-thresholded statistical images, as well as for another widely used RS-fMRI metric namely seed-based functional connectivity.
Journal ArticleDOI
Magnetic Resonance Imaging and Neurofilament Light in the Differentiation of Parkinsonism.
Derek B. Archer,Trina Mitchell,Roxana G. Burciu,Jing Yang,Salvatore Nigro,Aldo Quattrone,Aldo Quattrone,Andrea Quattrone,Andreas Jeromin,Nikolaus R. McFarland,Nikolaus R. McFarland,Michael S. Okun,Michael S. Okun,David E. Vaillancourt +13 more
TL;DR: The utility of 3 promising biomarkers to differentiate disease state and explain disease severity in parkinsonism are compared: the Automated Imaging Differentiation in Parkinsonism (AID‐P), the Magnetic Resonance Parkinsonism Index (MRPI), and plasma‐based neurofilament light chain protein (NfL).