1
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Deng R, Yang X, Meng YJ, Tao YJ, Wang HY, Li XJ, Wei W, Yu H, Wang Q, Deng W, Zhao LS, Ma XH, Li ML, Xu JJ, Li J, Liu YS, Tang Z, Du XD, Coid JW, Greenshaw AJ, Li T, Guo WJ. Data-driven study on resting-state functional magnetic resonance imaging during early abstinence of alcohol dependence in male patients and its predictive value for relapse. BMC Psychiatry 2022; 22:143. [PMID: 35193538 PMCID: PMC8862392 DOI: 10.1186/s12888-022-03782-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 02/15/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Alcohol dependence is a mental disorder with a high relapse rate. However, specific neuroimaging biomarkers have not been determined for alcohol dependence and its relapse. We conducted data-driven research to investigate resting-state functional magnetic resonance imaging (rs-fMRI) during early abstinence from alcohol dependence and its potential ability to predict relapse. METHODS Participants included 68 alcohol-dependent patients and 68 healthy controls (HCs). The regional homogeneity (ReHo) and fractional amplitude of low-frequency fluctuations (fALFF) were compared between the alcohol dependence group and the HCs and between the relapse group and the nonrelapse group. The brain regions that presented significantly different ReHo and/or fALFF between the alcohol-dependent patients and HCs and/or between the relapsed and nonrelapsed patients were selected as the seeds to calculate the functional connectivities (FCs). RESULTS During a 6-month follow-up period, 52.24% of alcohol-dependent patients relapsed. A regression model for differentiating alcohol-dependent patients and HCs showed that reductions in ReHo in the left postcentral region, fALFF in the right fusiform region, and FC in the right fusiform region to the right middle cingulum were independently associated with alcohol dependence, with an area under the receiver operating characteristic curve (AUC) of 0.841. The baseline FC of the left precentral to the left cerebellum of the relapse group was significantly lower than that of the nonrelapse group. The AUC of this FC to predict relapse was 0.774. CONCLUSIONS Our findings contribute to advancing research on the neurobiological etiology and predictive biomarkers for relapse associated with alcohol dependence.
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Affiliation(s)
- Renhao Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xia Yang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Ya-jing Meng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Yu-jie Tao
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Hui-yao Wang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xiao-jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Wei Wei
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Hua Yu
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Qiang Wang
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Wei Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Lian-sheng Zhao
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Xiao-hong Ma
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Ming-li Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Jia-jun Xu
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Yan-song Liu
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Zhen Tang
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Xiang-dong Du
- grid.263761.70000 0001 0198 0694Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu China
| | - Jeremy W. Coid
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
| | - Andrew J. Greenshaw
- grid.17089.370000 0001 2190 316XDepartment of Psychiatry, University of Alberta, Edmonton, Canada
| | - Tao Li
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China ,grid.13291.380000 0001 0807 1581Center for Educational and Health Psychology, Sichuan University, Chengdu, People’s Republic of China
| | - Wan-jun Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, No. 28 Dianxin South Street, Chengdu, 610041 Sichuan China
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2
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Mundorf A, Peterburs J, Ocklenburg S. Asymmetry in the Central Nervous System: A Clinical Neuroscience Perspective. Front Syst Neurosci 2021; 15:733898. [PMID: 34970125 PMCID: PMC8712556 DOI: 10.3389/fnsys.2021.733898] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 11/25/2021] [Indexed: 01/20/2023] Open
Abstract
Recent large-scale neuroimaging studies suggest that most parts of the human brain show structural differences between the left and the right hemisphere. Such structural hemispheric asymmetries have been reported for both cortical and subcortical structures. Interestingly, many neurodevelopmental and psychiatric disorders have been associated with altered functional hemispheric asymmetries. However, findings concerning the relation between structural hemispheric asymmetries and disorders have largely been inconsistent, both within specific disorders as well as between disorders. In the present review, we compare structural asymmetries from a clinical neuroscience perspective across different disorders. We focus especially on recent large-scale neuroimaging studies, to concentrate on replicable effects. With the notable exception of major depressive disorder, all reviewed disorders were associated with distinct patterns of alterations in structural hemispheric asymmetries. While autism spectrum disorder was associated with altered structural hemispheric asymmetries in a broader range of brain areas, most other disorders were linked to more specific alterations in brain areas related to cognitive functions that have been associated with the symptomology of these disorders. The implications of these findings are highlighted in the context of transdiagnostic approaches to psychopathology.
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Affiliation(s)
- Annakarina Mundorf
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Jutta Peterburs
- Institute for Systems Medicine and Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Sebastian Ocklenburg
- Biopsychology, Institute of Cognitive Neuroscience, Faculty of Psychology, Ruhr University Bochum, Bochum, Germany
- Department of Psychology, MSH Medical School Hamburg, Hamburg, Germany
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3
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Liu L, Yang X, Zhao F, Gao C, Zhang N, Bao J, Li K, Zhang X, Lu X, Ruan Y, Zhong S. Hypermethylation of the OPRM1 and ALDH2 promoter regions in Chinese Han males with alcohol use disorder in Yunnan Province. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2021; 47:694-703. [PMID: 34582308 DOI: 10.1080/00952990.2021.1973486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Alcohol use disorder (AUD) is one of the most serious public health problems worldwide. The OPRM1 and ALDH2 genes are important factors in the reward and alcohol metabolism pathways, and their DNA methylation patterns are closely related to AUD and are population-specific. Chinese Han people are the most populous ethnic group in the world, and this group experiences severe AUD. No epigenetic study on OPRM1 and ALDH2 has been performed in Chinese Han patients with AUD. OBJECTIVES To investigate whether methylation patterns of OPRM1 and ALDH2 are associated with susceptibility to AUD in Chinese Han males. METHODS DNA methylation of the OPRM1 and ALDH2 promoters was studied in Chinese Han males with AUD in Yunnan Province (N = 50 controls, N = 90 individuals with AUD) using the bisulfite pyrosequencing method. RESULTS In the AUD group, compared with the control group, OPRM1 was hypermethylated(p < .01) but there was no significant difference in the methylation level of ALDH2 (p > .05). 9 CpG sites of OPRM1 (p < .05) and 2 CpG sites of ALDH2 (p > .01) were hypermethylated. Smoking promoted AUD-mediated hypermethylation of OPRM1, in which 3 CpG sites showed significant hypermethylation (p < .01). Age had no significant effect on the DNA methylation levels of these two genes. CONCLUSIONS Our study demonstrates that DNA hypermethylation of the OPRM1 and ALDH2 promoter regions is associated with an increased risk of AUD, which may help to explain the pathogenesis and progression of AUD.
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Affiliation(s)
- Linlin Liu
- School of Forensic Medicine, Kunming Medical University, Kunming, China.,Forensic biology identification laboratory, Judicial Identification Center of Kunming Medical University, Kunming, China
| | - Xiaopei Yang
- School of Forensic Medicine, Kunming Medical University, Kunming, China.,Department of basic medicine, Chuxiong Medical and Pharmaceutical College, Chuxiong, China
| | - Fei Zhao
- School of Forensic Medicine, Kunming Medical University, Kunming, China.,Forensic Lab 1, Jiangxi Shenzhou Judicial Identification Center, Nanchang, China
| | - Changqing Gao
- Children's mental department, The Mental Hospital of Yunnan Province, Kunming, China.,Children's mental department, Alcohol and Drug Dependence Treatment Department, Mental Health Center Affiliated With Kunming Medical University, Kunming, China
| | - Ning Zhang
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Jianjun Bao
- Alcohol and Drug Dependence Treatment Department, The Mental Hospital of Yunnan Province, Kunming, China.,Alcohol and Drug Dependence Treatment Department, Mental Health Center Affiliated With Kunming Medical University, Kunming, China
| | - Kuan Li
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Xulan Zhang
- Alcohol and Drug Dependence Treatment Department, The Mental Hospital of Yunnan Province, Kunming, China.,Alcohol and Drug Dependence Treatment Department, Mental Health Center Affiliated With Kunming Medical University, Kunming, China
| | - Xiaoxiao Lu
- School of Forensic Medicine, Kunming Medical University, Kunming, China
| | - Ye Ruan
- Alcohol and Drug Dependence Treatment Department, The Mental Hospital of Yunnan Province, Kunming, China.,Alcohol and Drug Dependence Treatment Department, Mental Health Center Affiliated With Kunming Medical University, Kunming, China
| | - Shurong Zhong
- School of Forensic Medicine, Kunming Medical University, Kunming, China.,Forensic biology identification laboratory, Judicial Identification Center of Kunming Medical University, Kunming, China
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Visuoperceptive Impairments in Severe Alcohol Use Disorder: A Critical Review of Behavioral Studies. Neuropsychol Rev 2021; 31:361-384. [PMID: 33591477 DOI: 10.1007/s11065-020-09469-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Accepted: 11/29/2020] [Indexed: 01/13/2023]
Abstract
The present literature review is aimed at offering a comprehensive and critical view of behavioral data collected during the past seventy years concerning visuoperception in severe alcohol use disorders (AUD). To pave the way for a renewal of research and clinical approaches in this very little understood field, this paper (1) provides a critical review of previous behavioral studies exploring visuoperceptive processing in severe AUD, (2) identifies the alcohol-related parameters and demographic factors that influence the deficits, and (3) addresses the limitations of this literature and their implications for current clinical strategies. By doing so, this review highlights the presence of visuoperceptive deficits but also shows how the lack of in-depth studies exploring the visual system in this clinical population results in the current absence of integration of these deficits in the dominant models of vision. Given the predominance of vision in everyday life, we stress the need to better delineate the extent, the specificity, and the actual implications of the deficits for severe AUD.
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5
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Creupelandt C, D'Hondt F, Maurage P. Neural correlates of visuoperceptive changes in severe alcohol use disorder: A critical review of neuroimaging and electrophysiological findings. J Neurosci Res 2021; 99:1253-1275. [PMID: 33550638 DOI: 10.1002/jnr.24799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 01/04/2023]
Abstract
Visuoperceptive deficits are frequently reported in severe alcohol use disorder (SAUD) and are considered as pervasive and persistent in time. While this topic of investigation has previously driven researchers' interest, far fewer studies have focused on visuoperception in SAUD since the '90s, leaving open central questions regarding the origin and implications of these deficits. To renew research in the field and provide a solid background to work upon, this paper reviews the neural correlates of visuoperception in SAUD, based on data from neuroimaging and electrophysiological studies. Results reveal structural and functional changes within the visual system but also in the connections between occipital and frontal areas. We highlight the lack of integration of these findings in the dominant models of vision which stress the dynamic nature of the visual system and consider the presence of both bottom-up and top-down cerebral mechanisms. Visuoperceptive changes are also discussed in the framework of long-lasting debates regarding the influence of demographic and alcohol-related factors, together stressing the presence of inter-individual differences. Capitalizing on this review, we provide guidelines to inform future research, and ultimately improve clinical care.
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Affiliation(s)
- Coralie Creupelandt
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
| | - Fabien D'Hondt
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.,CHU Lille, Clinique de Psychiatrie, CURE, Lille, France.,Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France
| | - Pierre Maurage
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
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6
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Cheng R, Chen L, Liu X, Luo T, Gong J, Jiang P. Changes in Gray Matter Asymmetries of the Fusiform and Parahippocampal Gyruses in Patients With Subcortical Ischemic Vascular Disease. Front Neurol 2021; 11:603977. [PMID: 33551966 PMCID: PMC7859431 DOI: 10.3389/fneur.2020.603977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 12/23/2020] [Indexed: 11/13/2022] Open
Abstract
Objective: Changes in the normal asymmetry of the human brain often mean pathology. Current studies on the correlation between asymmetry and cognitive impairment have focused on Alzheimer's disease (AD) and AD-related mild cognitive impairment (MCI). The purpose of this study was to investigate changes in gray matter asymmetry and their relationship with cognitive impairment in patients with subcortical ischemic vascular disease (SIVD) by using voxel-based morphological measurements. Methods: Fifty-nine SIVD patients with (subcortical vascular cognitive impairment, SVCI, N = 30) and without (pre-SVCI, N = 29) cognitive impairment and 30 normal controls (NC, N = 30) underwent high-resolution structural MRI and neuropsychological examinations. The differences in gray matter asymmetry among the three groups were estimated by using one-way ANOVA. Moreover, partial correlation analysis was performed to explore the relationships between the asymmetry index (AI) values and cognitive assessments controlled for age, sex, and education. Results: The gray matter asymmetries in the fusiform and parahippocampal gyruses of the SVCI group were significantly different from those of the NC group and the pre-SVCI group, while no differences were found between the NC group and the pre-SVCI group in the same areas. More specifically, in the fusiform and parahippocampal gyruses, the SVCI group displayed a dramatic rightward asymmetry, whereas the NC group and pre-SVCI group exhibited a marked leftward asymmetry. The results of the correlation analysis showed that the "mean AI" in significant cluster was strongly correlated with the changes in cognitive outcomes. Conclusion: This study demonstrated different lateralization in the fusiform and parahippocampal gyruses of SIVD patients with cognitive impairment compared to healthy subjects and SIVD patients without cognitive decline. Our findings may contribute to better understanding the possible mechanism of cognitive impairment in patients with SIVD, and they suggest the possibility of using gray matter asymmetry as a biomarker for disease progression.
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Affiliation(s)
- Runtian Cheng
- The Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Chen
- The Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Xiaoshuang Liu
- The Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Tianyou Luo
- The Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junwei Gong
- The Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Peiling Jiang
- The Department of Radiology, The Second Affiliated Hospital of Military Medical University, Chongqing, China
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