Literature DB >> 24562590

Resting-state functional magnetic resonance imaging in hepatic encephalopathy: current status and perspectives.

Long Jiang Zhang1, Shengyong Wu, Jiaqian Ren, Guang Ming Lu.   

Abstract

Hepatic encephalopathy (HE) is a neuropsychiatric syndrome which develops in patients with severe liver diseases and/or portal-systemic shunting. Minimal HE, the earliest manifestation of HE, has drawn increasing attention in the last decade. Minimal HE is associated with a series of brain functional changes, such as attention, working memory, and so on. Blood oxygen level dependent (BOLD) functional MRI (fMRI), especially resting-state fMRI has been used to explore the brain functional changes of HE, yielding important insights for understanding pathophysiological mechanisms and functional reorganization of HE. This paper briefly reviews the principles of BOLD fMRI, potential applications of resting-state fMRI with advanced post-processing algorithms such as regional homogeneity, amplitude of low frequency fluctuation, functional connectivity and future research perspective in this field.

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Year:  2014        PMID: 24562590     DOI: 10.1007/s11011-014-9504-9

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.584


  64 in total

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Journal:  Metab Brain Dis       Date:  2013-07-09       Impact factor: 3.584

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Authors:  Mark J W McPhail; Neeral R Patel; Simon D Taylor-Robinson
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8.  Introduction to the Hepatic Encephalopathy Scoring Algorithm (HESA).

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9.  Abnormal default-mode network activation in cirrhotic patients: a functional magnetic resonance imaging study.

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  8 in total

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Review 3.  Multimodal MR imaging in hepatic encephalopathy: state of the art.

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Journal:  Metab Brain Dis       Date:  2018-01-26       Impact factor: 3.584

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Review 5.  Delirium.

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6.  Default mode network functional connectivity: a promising biomarker for diagnosing minimal hepatic encephalopathy: CONSORT-compliant article.

Authors:  Rongfeng Qi; Long Jiang Zhang; Song Luo; Jun Ke; Xiang Kong; Qiang Xu; Chang Liu; Heng Lu; Guang Ming Lu
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7.  Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.

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Journal:  Front Neurosci       Date:  2021-01-11       Impact factor: 4.677

8.  Role of local and distant functional connectivity density in the development of minimal hepatic encephalopathy.

Authors:  Rongfeng Qi; Long Jiang Zhang; Hui Juan Chen; Jianhui Zhong; Song Luo; Jun Ke; Qiang Xu; Xiang Kong; Chang Liu; Guang Ming Lu
Journal:  Sci Rep       Date:  2015-09-02       Impact factor: 4.379

  8 in total

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