Search Results - "GORE, John C"

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  1. 1

    Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation by Li, Chunming, Gore, John C, Davatzikos, Christos

    Published in Magnetic resonance imaging (01-09-2014)
    “…Abstract This paper proposes a new energy minimization method called multiplicative intrinsic component optimization (MICO) for joint bias field estimation and…”
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  2. 2

    Characterization of the hemodynamic response function in white matter tracts for event-related fMRI by Li, Muwei, Newton, Allen T., Anderson, Adam W., Ding, Zhaohua, Gore, John C.

    Published in Nature communications (08-03-2019)
    “…Accurate estimates of the BOLD hemodynamic response function (HRF) are crucial for the interpretation and analysis of event-related functional MRI data. To…”
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  3. 3

    The Relationship of Anatomical and Functional Connectivity to Resting-State Connectivity in Primate Somatosensory Cortex by Wang, Zheng, Chen, Li Min, Négyessy, László, Friedman, Robert M., Mishra, Arabinda, Gore, John C., Roe, Anna W.

    Published in Neuron (Cambridge, Mass.) (19-06-2013)
    “…Studies of resting-state activity in the brain have provoked critical questions about the brain’s functional organization, but the biological basis of this…”
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  4. 4

    Self-decoupled radiofrequency coils for magnetic resonance imaging by Yan, Xinqiang, Gore, John C., Grissom, William A.

    Published in Nature communications (28-08-2018)
    “…Arrays of radiofrequency coils are widely used in magnetic resonance imaging to achieve high signal-to-noise ratios and flexible volume coverage, to accelerate…”
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  5. 5

    Mapping hepatocyte size in vivo using temporal diffusion spectroscopy MRI by Jiang, Xiaoyu, Xu, Junzhong, Gore, John C.

    Published in Magnetic resonance in medicine (01-11-2020)
    “…Purpose The goal of this study is to implement a noninvasive method for in vivo mapping of hepatocyte size. This method will have a broad range of clinical and…”
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  6. 6

    In vivo imaging of cancer cell size and cellularity using temporal diffusion spectroscopy by Jiang, Xiaoyu, Li, Hua, Xie, Jingping, McKinley, Eliot T., Zhao, Ping, Gore, John C., Xu, Junzhong

    Published in Magnetic resonance in medicine (01-07-2017)
    “…Purpose A temporal diffusion MRI spectroscopy based approach has been developed to quantify cancer cell size and density in vivo. Methods A novel imaging…”
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  7. 7

    Functional engagement of white matter in resting-state brain networks by Li, Muwei, Gao, Yurui, Gao, Fei, Anderson, Adam W., Ding, Zhaohua, Gore, John C.

    Published in NeuroImage (Orlando, Fla.) (15-10-2020)
    “…The topological characteristics of functional networks, derived from measurements of resting-state connectivity in gray matter (GM), are associated with…”
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  8. 8

    High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance by McGugin, Rankin Williams, Gatenby, J. Christopher, Gore, John C, Gauthier, Isabel

    “…The fusiform face area (FFA) is a region of human cortex that responds selectively to faces, but whether it supports a more general function relevant for…”
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  9. 9

    Spatio-temporal correlation tensors reveal functional structure in human brain by Ding, Zhaohua, Newton, Allen T, Xu, Ran, Anderson, Adam W, Morgan, Victoria L, Gore, John C

    Published in PloS one (05-12-2013)
    “…Resting state functional magnetic resonance imaging (fMRI) has been commonly used to measure functional connectivity between cortical regions, while diffusion…”
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  10. 10

    Brain Connectivity Related to Working Memory Performance by Hampson, Michelle, Driesen, Naomi R, Skudlarski, Pawel, Gore, John C, Constable, R. Todd

    Published in The Journal of neuroscience (20-12-2006)
    “…Several brain areas show signal decreases during many different cognitive tasks in functional imaging studies, including the posterior cingulate cortex (PCC)…”
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  11. 11

    Quantification of cell size using temporal diffusion spectroscopy by Jiang, Xiaoyu, Li, Hua, Xie, Jingping, Zhao, Ping, Gore, John C., Xu, Junzhong

    Published in Magnetic resonance in medicine (01-03-2016)
    “…Purpose A new approach has been developed to quantify cell sizes and intracellular volume fractions using temporal diffusion spectroscopy with…”
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  12. 12

    A simple estimate of axon size with diffusion MRI by Harkins, Kevin D, Beaulieu, Christian, Xu, Junzhong, Gore, John C, Does, Mark D

    Published in NeuroImage (Orlando, Fla.) (15-02-2021)
    “…•Monte Carlo simulations of diffusion MRI suggest a simple metric of axon diameter-the change in the radial apparent diffusion coefficient estimated at…”
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  13. 13

    Magnetic resonance imaging of mean cell size in human breast tumors by Xu, Junzhong, Jiang, Xiaoyu, Li, Hua, Arlinghaus, Lori R., McKinley, Eliot T., Devan, Sean P., Hardy, Benjamin M., Xie, Jingping, Kang, Hakmook, Chakravarthy, A. Bapsi, Gore, John C.

    Published in Magnetic resonance in medicine (01-06-2020)
    “…Purpose Cell size is a fundamental characteristic of all tissues, and changes in cell size in cancer reflect tumor status and response to treatments, such as…”
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  14. 14

    Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance by Hampson, Michelle, Driesen, Naomi, Roth, Jennifer K, Gore, John C, Constable, R. Todd

    Published in Magnetic resonance imaging (01-10-2010)
    “…Abstract Functional brain imaging studies have identified a set of brain areas typically activated during cognitive tasks (task-positive brain areas) and…”
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  15. 15

    Accuracy in the quantification of chemical exchange saturation transfer (CEST) and relayed nuclear Overhauser enhancement (rNOE) saturation transfer effects by Zhang, Xiao‐Yong, Wang, Feng, Li, Hua, Xu, Junzhong, Gochberg, Daniel F., Gore, John C., Zu, Zhongliang

    Published in NMR in biomedicine (01-07-2017)
    “…Accurate quantification of chemical exchange saturation transfer (CEST) effects, including dipole–dipole mediated relayed nuclear Overhauser enhancement (rNOE)…”
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  16. 16

    Concomitant modulation of BOLD responses in white matter pathways and cortex by Mishra, Arabinda, Li, Muwei, Anderson, Adam W., Newton, Allen T., Ding, Zhaohua, Gore, John C.

    Published in NeuroImage (Orlando, Fla.) (01-08-2020)
    “…In response to a flickering visual stimulus, the BOLD response in primary visual cortex varies with the flickering frequency and is maximal when it is close to…”
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  17. 17

    Graph theory analysis identified two hubs that connect sensorimotor and cognitive and cortical and subcortical nociceptive networks in the non-human primate by Wu, Ruiqi, Wang, Feng, Yang, Pai-Feng, Gore, John C, Chen, Li Min

    Published in NeuroImage (Orlando, Fla.) (15-08-2022)
    “…Pain perception involves multiple brain regions and networks. Understanding how these brain networks work together is fundamental for appreciating network-wise…”
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  18. 18

    Injury alters intrinsic functional connectivity within the primate spinal cord by Chen, Li Min, Mishra, Arabinda, Yang, Pai-Feng, Wang, Feng, Gore, John C.

    “…Significance This is the first study, to our knowledge, to demonstrate intrinsic functional connectivity within the spinal cords of monkeys, replicating and…”
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  19. 19

    Detection of functional networks within white matter using independent component analysis by Huang, Yali, Yang, Yang, Hao, Lei, Hu, Xuefang, Wang, Peiguang, Ding, Zhaohua, Gao, Jia-Hong, Gore, John C.

    Published in NeuroImage (Orlando, Fla.) (15-11-2020)
    “…•Functional BOLD signals evoked by finger movements were detected in white matter using ICA.•Symmetrical functional structures were delineated from correlated…”
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  20. 20

    Dynamic variations of resting-state BOLD signal spectra in white matter by Li, Muwei, Gao, Yurui, Anderson, Adam W., Ding, Zhaohua, Gore, John C.

    Published in NeuroImage (Orlando, Fla.) (15-04-2022)
    “…•Spectral patterns of WM BOLD signals could be categorized into five modes that recurred over time.•These modes showed distinct spatial distributions of their…”
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