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Wang, Danhong

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Wang

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Danhong

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Wang, Danhong
Author's Publications: search.filters.isAuthorOfPublication.3399e25e-cbbd-4cf8-92dd-98cb447bf03a

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    S1 is associated with chronic low back pain: a functional and structural MRI study
    (BioMed Central, 2013) Kong, Jian; Spaeth, Rosa B; Wey, Hsiao-Ying; Cheetham, Alexandra; Cook, Amanda H; Jensen, Karin B.; Tan, Ying; Liu, Hesheng; Wang, Danhong; Loggia, Marco; Napadow, Vitaly; Smoller, Jordan; Wasan, Ajay D; Gollub, Randy
    A fundamental characteristic of neural circuits is the capacity for plasticity in response to experience. Neural plasticity is associated with the development of chronic pain disorders. In this study, we investigated 1) brain resting state functional connectivity (FC) differences between patients with chronic low back pain (cLBP) and matched healthy controls (HC); 2) FC differences within the cLBP patients as they experienced different levels of endogenous low back pain evoked by exercise maneuvers, and 3) morphometric differences between cLBP patients and matched HC. We found the dynamic character of FC in the primary somatosensory cortex (S1) in cLBP patients, i.e., S1 FC decreased when the patients experienced low intensity LBP as compared with matched healthy controls, and FC at S1 increased when cLBP patients experienced high intensity LBP as compared with the low intensity condition. In addition, we also found increased cortical thickness in the bilateral S1 somatotopically associated with the lower back in cLBP patients as compared to healthy controls. Our results provide evidence of structural plasticity co-localized with areas exhibiting FC changes in S1 in cLBP patients.
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    Brain-Gut Axis Modulation of Acupuncture in Functional Dyspepsia: A Preliminary Resting-State fcMRI Study
    (Hindawi Publishing Corporation, 2015) Fang, Jiliang; Wang, Danhong; Zhao, Qing; Hong, Yang; Jin, Yulian; Liu, Zhishun; Zhou, Kehua; Jing, Xianghong; Yu, Xiaochun; Pan, Ruiqi; Chang, Andrew; Liu, Hesheng; Zhu, Bing
    Objective:. To explore acupuncture effects on brain functional connectivity in patients with functional dyspepsia (FD). Methods:. Eight patients in an acupuncture treatment group and ten healthy adults in the control group participated in the study. Acupuncture effectiveness was evaluated based on changes of the gastrointestinal symptoms, gastric motility measurements, and gastrin levels and comparisons with the control group when appropriate. To investigate functional connectivity changes related to FD and potential modulation after acupuncture, a set of regions of interest (ROIs) were selected according to previous fMRI reports of acupuncture. Results:. Patients showed significant improvements of FD signs and symptoms after acupuncture treatments. For all of the ROIs, we identified subportions of the networks showing reduced connectivity in patients with FD. Connectivity between the ROIs and corresponding disease targets showed significant improvement after acupuncture treatment (P < 0.05) in all ROIs except for right medial temporal lobe-hippocampus and right inferior parietal lobule. Conclusion:. Functional connectivity of the brain is changed in patients with FD but approximates that in healthy control after acupuncture treatment. The relief of gastrointestinal signs and symptoms by acupuncture is likely due to the normalization of brain-gut axis associated with FD.
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    Parcellating Cortical Functional Networks in Individuals
    (2015) Wang, Danhong; Buckner, Randy; Fox, Michael; Holt, Daphne; Holmes, Avram J.; Stoecklein, Sophia; Langs, Georg; Pan, Ruiqi; Qian, Tianyi; Li, Kuncheng; Baker, Justin; Stufflebeam, Steven; Wang, Kai; Wang, Xiaomin; Hong, Bo; Liu, Hesheng
    The capacity to identify the unique functional architecture of an individual’s brain is a critical step towards personalized medicine and understanding the neural basis of variations in human cognition and behavior. Here, we developed a novel cortical parcellation approach to accurately map functional organization at the individual level using resting-state fMRI. A population-based functional atlas and a map of inter-individual variability were employed to guide the iterative search for functional networks in individual subjects. Functional networks mapped by this approach were highly reproducible within subjects and effectively captured the variability across subjects, including individual differences in brain lateralization. The algorithm performed well across different subject populations and data types including task fMRI data. The approach was then validated by invasive cortical stimulation mapping in surgical patients, suggesting great potential for use in clinical applications.