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Lu H, Zhang H, Wu Z, Li L. Microbiota-gut-liver-brain axis and hepatic encephalopathy. MICROBIOME RESEARCH REPORTS 2024; 3:17. [PMID: 38841407 PMCID: PMC11149093 DOI: 10.20517/mrr.2023.44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 01/16/2024] [Accepted: 01/19/2024] [Indexed: 06/07/2024]
Abstract
Hepatic encephalopathy (HE) is a clinical manifestation of neurological and psychiatric abnormalities that are caused by complications of liver dysfunction including hyperammonemia, hyperuricemia, and portal hypertension. Accumulating evidence suggests that HE could be reversed through therapeutic modifications of gut microbiota. Multiple preclinical and clinical studies have indicated that gut microbiome affects the physiological function of the liver, such as the regulation of metabolism, secretion, and immunity, through the gut-liver crosstalk. In addition, gut microbiota also influences the brain through the gut-brain crosstalk, altering its physiological functions including the regulation of the immune, neuroendocrine, and vagal pathways. Thus, key molecules that are involved in the microbiota-gut-liver-brain axis might be able to serve as clinical biomarkers for early diagnosis of HE, and could be effective therapeutic targets for clinical interventions. In this review, we summarize the pathophysiology of HE and further propose approaches modulating the microbiota-gut-liver-brain axis in order to provide a comprehensive understanding of the prevention and potential clinical treatment for HE with a microbiota-targeted therapy.
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Affiliation(s)
| | | | | | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang, China
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2
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Wang Y, Yang L, Shang Y, Huang Y, Ju C, Zheng H, Zhao W, Liu J. Identifying Minimal Hepatic Encephalopathy: A New Perspective from Magnetic Resonance Imaging. J Magn Reson Imaging 2023. [PMID: 38149764 DOI: 10.1002/jmri.29179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
Type C hepatic encephalopathy (HE) is a condition characterized by brain dysfunction caused by liver insufficiency and/or portal-systemic blood shunting, which manifests as a broad spectrum of neurological or psychiatric abnormalities, ranging from minimal HE (MHE), detectable only by neuropsychological or neurophysiological assessment, to coma. Though MHE is the subclinical phase of HE, it is highly prevalent in cirrhotic patients and strongly associated with poor quality of life, high risk of overt HE, and mortality. It is, therefore, critical to identify MHE at the earliest and timely intervene, thereby minimizing the subsequent complications and costs. However, proper and sensitive diagnosis of MHE is hampered by its unnoticeable symptoms and the absence of standard diagnostic criteria. A variety of neuropsychological or neurophysiological tests have been performed to diagnose MHE. However, these tests are nonspecific and susceptible to multiple factors (eg, aging, education), thereby limiting their application in clinical practice. Thus, developing an objective, effective, and noninvasive method is imperative to help detect MHE. Magnetic resonance imaging (MRI), a noninvasive technique which can produce many objective biomarkers by different imaging sequences (eg, Magnetic resonance spectroscopy, DWI, rs-MRI, and arterial spin labeling), has recently shown the ability to screen MHE from NHE (non-HE) patients accurately. As advanced MRI techniques continue to emerge, more minor changes in the brain could be captured, providing new means for early diagnosis and quantitative assessment of MHE. In addition, the advancement of artificial intelligence in medical imaging also presents the potential to mine more effective diagnostic biomarkers and further improves the predictive efficiency of MHE. Taken together, advanced MRI techniques may provide a new perspective for us to identify MHE in the future. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Yisong Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Longtao Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Youlan Shang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yijie Huang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chao Ju
- Department of Radiology, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
- Department of Radiology Quality Control Center in Hunan Province, Changsha, China
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Kuang Y, Wu X, Lai H, Wang Z, Lei Q, Zhong W, Yang Y, Deng C, Zhou Z. Abnormal corpus callosum induced by overt hepatic encephalopathy impairs interhemispheric functional coordination in cirrhosis patients. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1579. [PMID: 34790785 PMCID: PMC8576733 DOI: 10.21037/atm-21-5109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/21/2021] [Indexed: 11/06/2022]
Abstract
Background Although overt hepatic encephalopathy (OHE) patients were shown to have bilaterally symmetrical structural and functional abnormalities in the whole brain, few studies have focused on the bilateral cerebral hemisphere commissural fibers and measured functional coordination between bilateral hemispheres. This study aimed to investigate the structural changes of the corpus callosum (CC) and interhemispheric functional coordination in patients with OHE and to test the hypothesis that abnormal CC induced by OHE impairs interhemispheric functional coordination in cirrhosis patients. Methods The microstructural integrity and the volumes of each subregion of the CC were analyzed by diffusion tensor imaging (DTI) and three-dimensional T1-weighted imaging. Voxel-mirrored homotopic connectivity (VMHC) was derived from resting-state functional magnetic resonance imaging (MRI). Results Compared with the healthy controls (HCs) and patients without hepatic encephalopathy (noHE), the OHE group showed decreased volumes in all subregions of the CC. In OHE patients, the decreased fractional anisotropy (FA) of CC-5 correlated with decreased VMHC in the middle occipital gyrus (MOG) and precuneus. The value of FA in CC-5 and the volumes of CC-3, CC-4, and CC-5 showed correlations with neuropsychological performance in patients with OHE. Conclusions These findings suggest that impairment of interhemispheric white matter pathways may disturb the functional connectivity associated with coordination and neurocognitive performance.
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Affiliation(s)
- Yangying Kuang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaojia Wu
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Lai
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhigang Wang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qiang Lei
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Weijia Zhong
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ya Yang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Chen Deng
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhiming Zhou
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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4
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Cheng Y, Shen W, Xu J, Amey RC, Huang LX, Zhang XD, Li JL, Akhavan C, Duffy BA, Simon JP, Jiang W, Liu M, Kim H. Neuromarkers from Whole-Brain Functional Connectivity Reveal the Cognitive Recovery Scheme for Overt Hepatic Encephalopathy after Liver Transplantation. eNeuro 2021; 8:ENEURO.0114-21.2021. [PMID: 34376523 PMCID: PMC8376297 DOI: 10.1523/eneuro.0114-21.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 07/20/2021] [Accepted: 07/26/2021] [Indexed: 11/21/2022] Open
Abstract
Neurocognitive impairment is present in cirrhosis and may be more severe in cirrhosis with overt hepatic encephalopathy (OHE). Liver transplantation (LT) can restore liver function, but how it reverses the impaired brain function is still unclear. MRI of resting-state functional connectivity can help reveal the underlying mechanisms that lead to these cognitive deficits and cognitive recovery. In this study, 64 patients with cirrhosis (28 with OHE; 36 without OHE) and 32 healthy control subjects were recruited for resting-state fMRI. The patients were scanned before and after LT. We evaluated presurgical and postsurgical neurocognitive performance in cirrhosis patients using psychomotor tests. Network-based statistics found significant disrupted connectivity in both groups of cirrhotic patients, with OHE and without OHE, compared with control subjects. However, the presurgical connectivity disruption in patients with OHE affected a greater number of connections than those without OHE. The decrease in functional connectivity for both OHE and non-OHE patient groups was reversed after LT to the level of control subjects. An additional hyperconnected network (i.e., higher connected than control subjects) was observed in OHE patients after LT. Regarding the neural-behavior relationship, the functional network that predicted cognitive performance in healthy individuals showed no correlation in presurgical cirrhotic patients. The impaired neural-behavior relationship was re-established after LT for non-OHE patients, but not for OHE patients. OHE patients displayed abnormal hyperconnectivity and a persistently impaired neural-behavior relationship after LT. Our results suggest that patients with OHE may undergo a different trajectory of postsurgical neurofunctional recovery compared with those without, which needs further clarification in future studies.
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Affiliation(s)
- Yue Cheng
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, People's Republic of China
| | - Wen Shen
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, People's Republic of China
| | - Junhai Xu
- Tianjin Key Laboratory of Cognitive Computing and Application, School of Artificial Intelligence, College of Intelligence and Computing, Tianjin University, Tianjin 300350, People's Republic of China
| | - Rachel C Amey
- U.S. Army Research Institute for the Behavioral and Social Sciences, Fort Belvoir, Virginia 22060-5610
| | - Li-Xiang Huang
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, People's Republic of China
| | - Xiao-Dong Zhang
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, People's Republic of China
| | - Jing-Li Li
- Department of Radiology, Tianjin First Center Hospital, Tianjin 300192, People's Republic of China
| | - Cameron Akhavan
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California 90033
| | - Ben A Duffy
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California 90033
| | - Julia Pia Simon
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California 90033
| | - Wenjuan Jiang
- College of Pharmacy, Western University of Health Sciences, Pomona, California 91766-1854
| | - Mengting Liu
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California 90033
| | - Hosung Kim
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, California 90033
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Han W, Zhang H, Han Y, Duan Z. Cognition-tracking-based strategies for diagnosis and treatment of minimal hepatic encephalopathy. Metab Brain Dis 2020; 35:869-881. [PMID: 32495311 PMCID: PMC7354280 DOI: 10.1007/s11011-020-00539-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 01/23/2020] [Indexed: 12/11/2022]
Abstract
Minimal hepatic encephalopathy (MHE), which shows mild cognitive impairment, is a subtle complication of cirrhosis that has been shown to affect daily functioning and quality of life. However, until 2014, relevant guidelines do not give much attention to the diagnosis and treatment of MHE, resulting in patients being ignored and denied the benefits of treatment. In this review, we summarize recent cognition-based research about (1) alteration of nerve cells, including astrocytes, microglial cells and neurons, in mild cognitive impairment in MHE; (2) comparison of methods in detecting cognitive impairment in MHE; and (3) comparison of methods for therapy of cognitive impairment in MHE. We hope to provide information about diagnosis and treatment of cognitive impairment in patients with MHE.
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Affiliation(s)
- Weijia Han
- Difficult & Complicated Liver Diseases and Artificial Liver Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China
| | - Huanqian Zhang
- Yidu Central Hospital of Weifang Medical College, Shandong, China
| | - Ying Han
- Department of Immunologic Liver Disease, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Zhongping Duan
- Difficult & Complicated Liver Diseases and Artificial Liver Center, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Liver Failure and Artificial Liver Treatment Research, Beijing, China.
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García-García R, Cruz-Gómez ÁJ, Urios A, Mangas-Losada A, Forn C, Escudero-García D, Kosenko E, Torregrosa I, Tosca J, Giner-Durán R, Serra MA, Avila C, Belloch V, Felipo V, Montoliu C. Learning and Memory Impairments in Patients with Minimal Hepatic Encephalopathy are Associated with Structural and Functional Connectivity Alterations in Hippocampus. Sci Rep 2018; 8:9664. [PMID: 29941971 PMCID: PMC6018225 DOI: 10.1038/s41598-018-27978-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 06/13/2018] [Indexed: 12/28/2022] Open
Abstract
Patients with minimal hepatic encephalopathy (MHE) show mild cognitive impairment associated with alterations in attentional and executive networks. There are no studies evaluating the relationship between memory in MHE and structural and functional connectivity (FC) changes in the hippocampal system. This study aimed to evaluate verbal learning and long-term memory in cirrhotic patients with (C-MHE) and without MHE (C-NMHE) and healthy controls. We assessed the relationship between alterations in memory and the structural integrity and FC of the hippocampal system. C-MHE patients showed impairments in learning, long-term memory, and recognition, compared to C-NMHE patients and controls. Cirrhotic patients showed reduced fimbria volume compared to controls. Larger volumes in hippocampus subfields were related to better memory performance in C-NMHE patients and controls. C-MHE patients presented lower FC between the L-presubiculum and L-precuneus than C-NMHE patients. Compared to controls, C-MHE patients had reduced FC between L-presubiculum and subiculum seeds and bilateral precuneus, which correlated with cognitive impairment and memory performance. Alterations in the FC of the hippocampal system could contribute to learning and long-term memory impairments in C-MHE patients. This study demonstrates the association between alterations in learning and long-term memory and structural and FC disturbances in hippocampal structures in cirrhotic patients.
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Affiliation(s)
- Raquel García-García
- Laboratory of Neurobiology, Centro Investigación Príncipe Felipe, Valencia, Spain
| | | | - Amparo Urios
- Laboratory of Neurobiology, Centro Investigación Príncipe Felipe, Valencia, Spain
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA, Valencia, Spain
| | - Alba Mangas-Losada
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA, Valencia, Spain
| | - Cristina Forn
- Departamento Psicologia Basica, Clinica y Psicobiologia. Universitat Jaume I, Castellon, Spain
| | | | - Elena Kosenko
- Institute of Theoretical and Experimental Biophysics, Pushchino, Russia
| | | | - Joan Tosca
- Unidad de Digestivo-Hospital Clínico. Departamento Medicina, Universidad Valencia, Valencia, Spain
| | | | - Miguel Angel Serra
- Unidad de Digestivo-Hospital Clínico. Departamento Medicina, Universidad Valencia, Valencia, Spain
| | - César Avila
- Departamento Psicologia Basica, Clinica y Psicobiologia. Universitat Jaume I, Castellon, Spain
| | | | - Vicente Felipo
- Laboratory of Neurobiology, Centro Investigación Príncipe Felipe, Valencia, Spain
| | - Carmina Montoliu
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA, Valencia, Spain.
- Departamento Patología, Facultad Medicina, Universidad Valencia, Valencia, Spain.
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Sun Q, Fan W, Ye J, Han P. Abnormal Regional Homogeneity and Functional Connectivity of Baseline Brain Activity in Hepatitis B Virus-Related Cirrhosis With and Without Minimal Hepatic Encephalopathy. Front Hum Neurosci 2018; 12:245. [PMID: 29988437 PMCID: PMC6024159 DOI: 10.3389/fnhum.2018.00245] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 05/29/2018] [Indexed: 12/16/2022] Open
Abstract
Background and Aims: Abnormalities in neural activity have been reported in cirrhosis with minimal hepatic encephalopathy (MHE). However, little is known about the neurophysiological mechanisms in this disorder. We aimed to investigate the altered patterns of regional synchronization and functional connections in hepatitis B virus-related cirrhosis (HBV-RC) patients with and without MHE using both regional homogeneity (ReHo) and region of interest (ROI)-based functional connectivity (FC) computational methods. Methods: Data of magnetic resonance imaging scans were collected from 30 HBV-RC patients with MHE, 32 HBV-RC patients without MHE (NMHE) and 64 well-matched controls. Several regions showing differences in ReHo after one-way analysis of variance (ANOVA) were defined as ROIs for FC analysis. Next, post hoc t-tests were applied to calculate the group differences in ReHo and FC (false discovery rate (FDR) correction, p < 0.05). Correlations between clinical variables and the altered ReHo and FC were then assessed in patient groups. Results: Across three groups, significant ReHo differences were found in nine ROI regions mainly within the visual network (VN), dorsal attention network (DAN), somatomotor network (SMN), fronto parietal control (FPC) network and thalamus. Compared with healthy controls (HC), the MHE group exhibited abnormal FC mainly between the right calcarine (CAL.R) and middle frontal gyrus (MFG.L)/right thalamus. The MHE patients showed increased FC between the MFG.L and CAL.R compared to NMHE patients. Disease duration of MHE patients was positively correlated with increased mean ReHo values in the right fusiform gyrus (FFG); psychometric hepatic encephalopathy score (PHES) test scores were negatively correlated with increased FC between MFG.L and CAL.R and positively correlated with reduced FC between the CAL.R and THA.R. For NMHE patients, the mean ReHo values in the right frontal pole were positively correlated with disease duration and positively correlated with the PHES scores. Conclusion: Our results exhibited that the functional brain modifications in patients with and without MHE are characterized by compound alterations in local coherence and functional connections in the VN, SMN, DAN, FPC networks and thalamus by using a combination of ReHo and ROI-based FC analysis. These functional imaging changes are correlated with disease duration/PHES. This study helped us gain a better understanding of the features of brain network modifications in cirrhosis.
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Affiliation(s)
- Qing Sun
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jin Ye
- Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Han
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Zhang XD, Zhang LJ. Multimodal MR imaging in hepatic encephalopathy: state of the art. Metab Brain Dis 2018; 33:661-671. [PMID: 29374342 DOI: 10.1007/s11011-018-0191-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Accepted: 01/17/2018] [Indexed: 02/07/2023]
Abstract
Hepatic encephalopathy (HE) is a neurological or neuropsychological complication due to liver failure or portosystemic shunting. The clinical manifestation is highly variable, which can exhibit mild cognitive or motor impairment initially, or gradually progress to a coma, even death, without treatment. Neuroimaging plays a critical role in uncovering the neural mechanism of HE. In particular, multimodality MR imaging is able to assess both structural and functional derangements of the brain with HE in focal or neural network perspectives. In recent years, there has been rapid development in novel MR technologies and applications to investigate the pathophysiological mechanism of HE. Therefore, it is necessary to update the latest MR findings regarding HE by use of multimodality MRI to refine and deepen our understanding of the neural traits in HE. Herein, this review highlights the latest MR imaging findings in HE to refresh our understanding of MRI application in HE.
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Affiliation(s)
- Xiao Dong Zhang
- Department of Radiology, Tianjin First Central Hospital, Clinical School of Tianjin Medical University, Tianjin, 300192, People's Republic of China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, No. 305 Zhongshan East Road, Nanjing, 210002, Jiangsu Province, People's Republic of China.
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9
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Negative mood influences default mode network functional connectivity in patients with chronic low back pain: implications for functional neuroimaging biomarkers. Pain 2017; 158:48-57. [PMID: 27583568 DOI: 10.1097/j.pain.0000000000000708] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The default mode network (DMN) has been proposed as a biomarker for several chronic pain conditions. Default mode network functional connectivity (FC) is typically examined during resting-state functional neuroimaging, in which participants are instructed to let thoughts wander. However, factors at the time of data collection (eg, negative mood) that might systematically impact pain perception and its brain activity, influencing the application of the DMN as a pain biomarker, are rarely reported. This study measured whether positive and negative moods altered DMN FC patterns in patients with chronic low back pain (CLBP), specifically focusing on negative mood because of its clinical relevance. Thirty-three participants (CLBP = 17) underwent resting-state functional magnetic resonance imaging scanning before and after sad and happy mood inductions, and rated levels of mood and pain intensity at the time of scanning. Two-way repeated-measures analysis of variances were conducted on resting-state functional connectivity data. Significant group (CLBP > healthy controls) × condition (sadness > baseline) interaction effects were identified in clusters spanning parietal operculum/postcentral gyrus, insular cortices, anterior cingulate cortex, frontal pole, and a portion of the cerebellum (PFDR < 0.05). However, only 1 significant cluster covering a portion of the cerebellum was identified examining a two-way repeated-measures analysis of variance for happiness > baseline (PFDR < 0.05). Overall, these findings suggest that DMN FC is affected by negative mood in individuals with and without CLBP. It is possible that DMN FC seen in patients with chronic pain is related to an affective dimension of pain, which is important to consider in future neuroimaging biomarker development and implementation.
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García-García R, Cruz-Gómez ÁJ, Mangas-Losada A, Urios A, Forn C, Escudero-García D, Kosenko E, Ordoño JF, Tosca J, Giner-Durán R, Serra MA, Avila C, Belloch V, Felipo V, Montoliu C. Reduced resting state connectivity and gray matter volume correlate with cognitive impairment in minimal hepatic encephalopathy. PLoS One 2017; 12:e0186463. [PMID: 29023586 PMCID: PMC5638549 DOI: 10.1371/journal.pone.0186463] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 10/02/2017] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND AND AIMS Minimal hepatic encephalopathy (MHE) is associated with cognitive alterations and changes in connectivity. We assessed the relationship of the abnormalities of resting-state functional connectivity (rs-FC) and gray matter (GM) volume with different cognitive alterations and biochemical parameters associated to MHE. METHODS Thirty-nine cirrhotic patients (26 without and 13 with MHE) and 24 controls were widely cognitive assessed with a battery of psychometric tests. Atrophy was determined using Voxel-Based Morphometry and rs-FC was assessed by independent component analysis. Receiver operating characteristic (ROC) curves was performed to assess the diagnostic utility of rs-FC and GM reduction for the discrimination of patients with and without MHE. Blood ammonia, cGMP, and levels of pro-inflammatory interleukins were measured. RESULTS MHE patients showed significant decrease of GM volume and lesser degree of rs-FC in different networks related to attention and executive functions as compared to controls and patients without MHE. There is a progressive reduction in rs-FC in the default mode network with the progression of cognitive impairment. MHE patients showed GM reduction in the right frontal lobe, right insula and right cerebellum compared to patients without MHE. Alterations in GM volume and rs-FC correlated with the scores of different cognitive tests. CONCLUSIONS Decreased cognitive performance is associated by reduced rs-FC and GM atrophy in MHE patients. These changes could have predictive value for detecting MHE.
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Affiliation(s)
| | - Álvaro Javier Cruz-Gómez
- Departamento Psicologia Basica, Clinica y Psicobiologia. Universitat Jaume I. Castellon, Castellón de la Plana, Spain
| | - Alba Mangas-Losada
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA. Valencia, Spain
| | - Amparo Urios
- Centro Investigación Príncipe Felipe. Valencia, Spain
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA. Valencia, Spain
| | - Cristina Forn
- Departamento Psicologia Basica, Clinica y Psicobiologia. Universitat Jaume I. Castellon, Castellón de la Plana, Spain
| | | | - Elena Kosenko
- Institute of Theoretical and Experimental Biophysics, Pushchino, Russia
| | - Juan Fermín Ordoño
- Servicio Neurofisiología, Hospital Arnau de Vilanova, Valencia, Spain
- Psychopatology and Neurophysiology Unit, Paterna Mental Health Center, CIBERSAM, Valencia, Spain
| | - Joan Tosca
- Unidad de Digestivo-Hospital Clínico. Departamento Medicina, Universidad Valencia, Valencia, Spain
| | | | - Miguel Angel Serra
- Unidad de Digestivo-Hospital Clínico. Departamento Medicina, Universidad Valencia, Valencia, Spain
| | - César Avila
- Departamento Psicologia Basica, Clinica y Psicobiologia. Universitat Jaume I. Castellon, Castellón de la Plana, Spain
| | | | | | - Carmina Montoliu
- Fundacion Investigacion Hospital Clinico Valencia. INCLIVA. Valencia, Spain
- Departamento Patología, Facultad Medicina, Universidad Valencia, Valencia, Spain
- * E-mail:
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11
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Jiao Y, Wang XH, Chen R, Tang TY, Zhu XQ, Teng GJ. Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks. Sci Rep 2017; 7:11512. [PMID: 28912425 PMCID: PMC5599725 DOI: 10.1038/s41598-017-11196-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 08/18/2017] [Indexed: 01/09/2023] Open
Abstract
We aimed to find the most representative connectivity patterns for minimal hepatic encephalopathy (MHE) using large-scale intrinsic connectivity networks (ICNs) and machine learning methods. Resting-state fMRI was administered to 33 cirrhotic patients with MHE and 43 cirrhotic patients without MHE (NMHE). The connectivity maps of 20 ICNs for each participant were obtained by dual regression. A Bayesian machine learning technique, called Graphical Model-based Multivariate Analysis, was applied to determine ICN regions that characterized group differences. The most representative ICNs were evaluated by the performance of three machine learning methods (support vector machines (SVMs), multilayer perceptrons (MLP), and C4.5). The clinical significance of these potential biomarkers was further tested. The temporal lobe network (TLN), and subcortical network (SCN), and sensorimotor network (SMN) were selected as representative ICNs. The distinct functional integration patterns of the representative ICNs were significantly correlated with behavior criteria and Child-Pugh scores. Our findings suggest the representative ICNs based on GAMMA can distinguish MHE from NMHE and provide supplementary information to current MHE diagnostic criteria.
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Affiliation(s)
- Yun Jiao
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Xun-Heng Wang
- College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China
| | - Rong Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, School of Medicine, Baltimore, MD, 21201, USA
| | - Tian-Yu Tang
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China
| | - Xi-Qi Zhu
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.,Department of Radiology, The Second Hospital of Nanjing, Medical School of Southeast University, Nanjing, 210003, China
| | - Gao-Jun Teng
- Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, 210009, China.
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12
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Chen HJ, Lin HL, Chen QF, Liu PF. Altered dynamic functional connectivity in the default mode network in patients with cirrhosis and minimal hepatic encephalopathy. Neuroradiology 2017; 59:905-914. [PMID: 28707166 DOI: 10.1007/s00234-017-1881-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 07/04/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE Abnormal brain intrinsic functional connectivity (FC) has been documented in minimal hepatic encephalopathy (MHE) by static connectivity analysis. However, changes in dynamic FC (dFC) remain unknown. We aimed to identify altered dFC within the default mode network (DMN) associated with MHE. METHODS Resting-state functional MRI data were acquired from 20 cirrhotic patients with MHE and 24 healthy controls. DMN seed regions were defined using seed-based FC analysis (centered on the posterior cingulate cortex (PCC)). Dynamic FC architecture was calculated using a sliding time-window method. K-means clustering (number of clusters = 2-4) was applied to estimate FC states. RESULTS When the number of clusters was 2, MHE patients presented weaker connectivity strengths compared with controls in states 1 and 2. In state 1, decreased FC strength was found between the PCC/precuneus (PCUN) and right medial temporal lobe (MTL)/bilateral lateral temporal cortex (LTC); left inferior parietal lobule (IPL) and right MTL/left LTC; right IPL and right MTL/bilateral LTC; right MTL and right LTC; and medial prefrontal cortex (MPFC) and right MTL/bilateral LTC. In state 2, reduced FC strength was observed between the PCC/PCUN and bilateral MTL/bilateral LTC; left IPL and left MTL/bilateral LTC/MPFC; and left LTC and right LTC. Altered connectivities from state 1 were correlated with patient cognitive performance. Similar findings were observed when the number of clusters was set to 3 or 4. CONCLUSION Aberrant dynamic DMN connectivity is an additional characteristic of MHE. Dynamic connectivity analysis offers a novel paradigm for understanding MHE-related mechanisms.
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Affiliation(s)
- Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
| | - Hai-Long Lin
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Qiu-Feng Chen
- School of Information Science and Engineering, Central South University, Changsha, 410083, China
| | - Peng-Fei Liu
- School of Information Science and Engineering, Central South University, Changsha, 410083, China
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13
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Yoshimura E, Ichikawa T, Miyaaki H, Taura N, Miuma S, Shibata H, Honda T, Takeshima F, Nakao K. Screening for minimal hepatic encephalopathy in patients with cirrhosis by cirrhosis-related symptoms and a history of overt hepatic encephalopathy. Biomed Rep 2016; 5:193-198. [PMID: 27446540 DOI: 10.3892/br.2016.702] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Accepted: 05/30/2016] [Indexed: 02/06/2023] Open
Abstract
The diagnosis of minimal hepatic encephalopathy (MHE) is more difficult in comparison to the diagnosis of overt hepatic encephalopathy (OHE), as patients with MHE do not exhibit overt neurological deficits and must be diagnosed using specialized equipment. However, identifying MHE is critical for patients with cirrhosis, and a simple screening test is required. The present study aimed to evaluate the associations between MHE, clinical characteristics and questionnaire items regarding sleep disturbances and cirrhosis-related symptom score (CSS). A total of 91 patients who had cirrhosis without OHE were evaluated using various questionnaires [i.e., CSS, Epworth Sleepiness Scale, the Japanese version of the Pittsburgh Sleep Quality Index (PSQI) and the Japanese 36-item short-form health survey (SF-36)]. MHE was diagnosed using the neuropsychological test. MHE was associated with severe liver damage, which was indicated by liver damage markers and a history of OHE. In addition, MHE was associated with the CSS, PSQI and SF-36 results. The multivariate analyses revealed that a history of OHE was the factor that was the most strongly associated with MHE. Among patients without a history of OHE, MHE was most strongly associated with CSS, although it was also associated with severe liver damage and platelet counts. A prediction score (calculated using a history of OHE and CSS) provided an area under the receiver operating characteristic curve of 0.738 and a sensitivity of 0.671 for identifying MHE. In conclusion, a history of OHE and CSS may be useful for identifying MHE in patients with cirrhosis.
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Affiliation(s)
- Emi Yoshimura
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Tatsuki Ichikawa
- Department of Gastroenterology, Nagasaki Harbor Medical Center, City Hospital, Nagasaki 850-8555, Japan
| | - Hisamitsu Miyaaki
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Naota Taura
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Satoshi Miuma
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Hidataka Shibata
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Takuya Honda
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Fuminao Takeshima
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
| | - Kazuhiko Nakao
- Department of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Science, Nagasaki 852-8501, Japan
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14
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Nardone R, Taylor AC, Höller Y, Brigo F, Lochner P, Trinka E. Minimal hepatic encephalopathy: A review. Neurosci Res 2016; 111:1-12. [PMID: 27153746 DOI: 10.1016/j.neures.2016.04.009] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 04/02/2016] [Accepted: 04/23/2016] [Indexed: 02/07/2023]
Abstract
Minimal hepatic encephalopathy (MHE) is the earliest form of hepatic encephalopathy and can affect up to 80% of patients with liver cirrhosis. By definition, MHE is characterized by cognitive function impairment in the domains of attention, vigilance and integrative function, but obvious clinical manifestation are lacking. MHE has been shown to affect daily functioning, quality of life, driving and overall mortality. The diagnosis can be achieved through neuropsychological testing, recently developed computerized psychometric tests, such as the critical flicker frequency and the inhibitory control tests, as well as neurophysiological procedures. Event related potentials can reveal subtle changes in patients with normal neuropsychological performances. Spectral analysis of electroencephalography (EEG) and quantitative analysis of sleep EEG provide early markers of cerebral dysfunction in cirrhotic patients with MHE. Neuroimaging, in particular MRI, also increasingly reveals diffuse abnormalities in intrinsic brain activity and altered organization of functional connectivity networks. Medical treatment for MHE to date has been focused on reducing serum ammonia levels and includes non-absorbable disaccharides, probiotics or rifaximin. Liver transplantation may not reverse the cognitive deficits associated with MHE. We performed here an updated review on epidemiology, burden and quality of life, neuropsychological testing, neuroimaging, neurophysiology and therapy in subjects with MHE.
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Affiliation(s)
- Raffaele Nardone
- Department of Neurology, Christian Doppler Klinik and Centre for Cognitive Neuroscience, Paracelsus Medical University, Salzburg, Austria; Department of Neurology, Franz Tappeiner Hospital, Italy.
| | - Alexandra C Taylor
- Department of Neurology, Christian Doppler Klinik and Centre for Cognitive Neuroscience, Paracelsus Medical University, Salzburg, Austria
| | - Yvonne Höller
- Department of Neurology, Christian Doppler Klinik and Centre for Cognitive Neuroscience, Paracelsus Medical University, Salzburg, Austria
| | - Francesco Brigo
- Department of Neurology, Franz Tappeiner Hospital, Italy; Department of Neurological and Movement Sciences, Section of Clinical Neurology, University of Verona, Italy
| | - Piergiorgio Lochner
- Department of Neurology, Saarland University Medical Center, Homburg, Germany
| | - Eugen Trinka
- Department of Neurology, Christian Doppler Klinik and Centre for Cognitive Neuroscience, Paracelsus Medical University, Salzburg, Austria
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15
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Rosazza C, Andronache A, Sattin D, Bruzzone MG, Marotta G, Nigri A, Ferraro S, Rossi Sebastiano D, Porcu L, Bersano A, Benti R, Leonardi M, D'Incerti L, Minati L. Multimodal study of default-mode network integrity in disorders of consciousness. Ann Neurol 2016; 79:841-853. [PMID: 26970235 DOI: 10.1002/ana.24634] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 03/08/2016] [Accepted: 03/09/2016] [Indexed: 01/20/2023]
Abstract
OBJECTIVE Understanding residual brain function in disorders of consciousness poses extraordinary challenges, and imaging examinations are needed to complement clinical assessment. The default-mode network (DMN) is known to be dysfunctional, although correlation with level of consciousness remains controversial. We investigated DMN activity with resting-state functional magnetic resonance imaging (rs-fMRI), alongside its structural and metabolic integrity, aiming to elucidate the corresponding associations with clinical assessment. METHODS We enrolled 119 consecutive patients: 72 in a vegetative state/unresponsive wakefulness state (VS/UWS), 36 in a minimally conscious state (MCS), and 11 with severe disability. All underwent structural MRI and rs-fMRI, and a subset also underwent 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET). Data were analyzed with manual and automatic approaches, in relation to diagnosis and clinical score. RESULTS Excluding the quartile with largest head movement, DMN activity was decreased in VS/UWS compared to MCS, and correlated with clinical score. Independent-component and seed-based analyses provided similar results, although the latter and their combination were most informative. Structural MRI and FDG-PET were less sensitive to head movement and had better diagnostic accuracy than rs-fMRI only when all cases were included. rs-fMRI indicated relatively preserved DMN activity in a small subset of VS/UWS patients, 2 of whom evolved to MCS. The integrity of the left hemisphere appears to be predictive of a better clinical status. INTERPRETATION rs-fMRI of the DMN is sensitive to clinical severity. The effect is consistent across data analysis approaches, but heavily dependent on head movement. rs-fMRI could be informative in detecting residual DMN activity for those patients who remain relatively still during scanning and whose diagnosis is uncertain. Ann Neurol 2016;79:841-853.
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Affiliation(s)
- Cristina Rosazza
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy.,Scientific Department, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Adrian Andronache
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Davide Sattin
- Neurology, Public Health, Disability Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy
| | - Maria Grazia Bruzzone
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Giorgio Marotta
- Department of Nuclear Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Anna Nigri
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Stefania Ferraro
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Davide Rossi Sebastiano
- Department of Neurophysiology, Epilepsy Center, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy
| | - Luca Porcu
- Laboratory of Methodology for Biomedical Research, Oncology Department, IRCCS - Istituto di Ricerche Farmacologiche "Mario Negri", Milan, Italy
| | - Anna Bersano
- Cerebrovascular Disease Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy
| | - Riccardo Benti
- Department of Nuclear Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Matilde Leonardi
- Neurology, Public Health, Disability Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy
| | - Ludovico D'Incerti
- Neuroradiology Unit, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
| | - Ludovico Minati
- Scientific Department, Carlo Besta Institute of Hospitalization and Scientific Care Foundation Neurological Institute, Milan, Italy
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16
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Role of local and distant functional connectivity density in the development of minimal hepatic encephalopathy. Sci Rep 2015; 5:13720. [PMID: 26329994 PMCID: PMC4556960 DOI: 10.1038/srep13720] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 07/27/2015] [Indexed: 02/07/2023] Open
Abstract
The progression of functional connectivity (FC) patterns from non-hepatic encephalopathy (non-HE) to minimal HE (MHE) is not well known. This resting-state functional magnetic resonance imaging (rs-fMRI) study investigated the evolution of intrinsic FC patterns from non-HE to MHE. A total of 103 cirrhotic patients (MHE, n = 34 and non-HE, n = 69) and 103 healthy controls underwent rs-fMRI scanning. Maps of distant and local FC density (dFCD and lFCD, respectively) were compared among MHE, non-HE, and healthy control groups. Decreased lFCD in anterior cingulate cortex, pre- and postcentral gyri, cuneus, lingual gyrus, and putamen was observed in both MHE and non-HE patients relative to controls. There was no difference in lFCD between MHE and non-HE groups. The latter showed decreased dFCD in inferior parietal lobule, cuneus, and medial frontal cortex relative to controls; however, MHE patients showed decreased dFCD in frontal and parietal cortices as well as increased dFCD in thalamus and caudate head relative to control and non-HE groups. Abnormal FCD values in some regions correlated with MHE patients’ neuropsychological performance. In conclusion, lFCD and dFCD were perturbed in MHE. Impaired dFCD in regions within the cortico-striato-thalamic circuit may be more closely associated with the development of MHE.
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