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Peshkovskaya A. Cognitive Alterations Associated with Remission and Alcohol Dependence Severity in Ethnically Diverse Patients of Siberia. Clin Pract Epidemiol Ment Health 2024; 20:e17450179297171. [PMID: 39130186 PMCID: PMC11311726 DOI: 10.2174/0117450179297171240522051748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/11/2024] [Accepted: 05/07/2024] [Indexed: 08/13/2024]
Abstract
Background Impaired cognition in individuals with alcohol dependence may be associated with increased relapse risk. It has been recorded in more than half of patients during six months after treatment. In certain ethnic groups, for example, Tuvinians, the indigenous people of Siberia, relapses occur in extremely short periods of one to three months after treatment. An approach currently used to alcohol dependence treatment may be less effective for these patients. Objective The study aimed to investigate cognitive sequelae in indigenous Tuvinian patients with alcohol dependence. Methods The sample included 166 patients, 74 of indigenous ethnicity (Tuvinians) and 92 non-indigenous white patients. Data on inhibitory control, cognitive flexibility, attention, and working memory were collected from all the patients and processed using cluster analysis. The clustering data were then complemented by indicators of disorder dynamics, impulsivity, and emotion regulation. Results The clustering procedure revealed groups with severe cognitive sequelae. More than four-fold attention decrease was found in 43.5% of non-indigenous patients, and more impaired cognitive flexibility was revealed among 60.8% of indigenous patients. Groups with severe cognitive sequelae had higher impulsivity, maladaptive emotion regulation, more hospitalizations, faster disease progression, and shorter remissions. The latter was significantly reduced to 90 days on average in the severe group of indigenous patients versus 135 days of remission in the non-indigenous severe group. Conclusion Results obtained may advance tailored intervention in alcohol-dependent patients of the indigenous Tuvinian ethnicity. While little is still known about the alcohol dependence course and consequences in the indigenous Tuvinians of Siberia, this study contributes to the global mental health data on alcohol abuse and dependence in indigenous communities.
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Affiliation(s)
- Anastasia Peshkovskaya
- Tomsk State University, Tomsk, Russia
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
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2
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Zhukovsky P, Savulich G, Morgan S, Dalley JW, Williams GB, Ersche KD. Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing. Brain Commun 2022; 4:fcac079. [PMID: 35694145 PMCID: PMC9178962 DOI: 10.1093/braincomms/fcac079] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/17/2021] [Accepted: 03/27/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sectional morphometric similarity trajectories of ageing in the publicly available Rockland Sample (20-80 years of age, n = 665). We then compared morphometric similarity and neuropsychological function between non-treatment-seeking, actively using patients with stimulant use disorder (n = 183, mean age 35.6 years) and healthy control participants (n = 148, mean age 36.0 years). Significantly altered mean regional morphometric similarity was found in 43 cortical regions including the inferior and orbital frontal gyri, pre/postcentral gyri and anterior temporal, superior parietal and occipital areas. Deviations from normative morphometric similarity trajectories in patients with stimulant use disorder suggested abnormal brain ageing. Furthermore, deficits in paired associates learning were consistent with neuropathology associated with both ageing and stimulant use disorder. Morphometric similarity mapping provides a promising biomarker for ageing in health and disease and may complement existing neuropsychological markers of age-related cognitive decline. Neuropathological ageing mechanisms in stimulant use disorder warrant further investigation to develop more age-appropriate treatments for older people addicted to stimulant drugs.
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Affiliation(s)
- Peter Zhukovsky
- Department of Psychology, University of Cambridge, UK
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, UK
| | - George Savulich
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, UK
| | - Sarah Morgan
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, UK
- Department of Computer Science and Technology, University of Cambridge, UK
- The Alan Turing Institute, London, UK
| | | | - Guy B. Williams
- Department of Clinical Neurosciences, University of Cambridge, UK
- Wolfson Brain Imaging Centre, Cambridge Biomedical Campus, Cambridge UK
| | - Karen D. Ersche
- Department of Psychiatry, University of Cambridge, School of Clinical Medicine, UK
- Department of Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
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3
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Wiśniewski P, Maurage P, Jakubczyk A, Trucco EM, Suszek H, Kopera M. Alcohol use and interoception - A narrative review. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110397. [PMID: 34224795 PMCID: PMC8380667 DOI: 10.1016/j.pnpbp.2021.110397] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/31/2021] [Accepted: 06/29/2021] [Indexed: 01/29/2023]
Abstract
Interoception, defined as the ability to perceive and interpret body signals, may play an important role in alcohol use disorder (AUD). Earlier studies suggested an association between interoception impairment and known risk factors for AUD (e.g., alexithymia, emotion dysregulation, impulsivity, pain). Neurobiological studies show that the neurotoxicity of alcohol affects various elements of the interoceptive system (especially the insula) at structural and functional levels, with differential short/long term impacts. Conversely, primary interoceptive impairments may promote alcohol consumption and foster the evolution towards addiction. Despite convincing evidence demonstrating that interoception impairment may be an important contributor to the development and course of AUD, only a few studies directly evaluated interoceptive abilities in AUD. The research shows that interoceptive accuracy, the objective component of interoception, is lower in AUD individuals, and is correlated with craving and emotion dysregulation. Interoceptive sensibility is in turn higher in AUD individuals compared to healthy controls. Moreover, there is evidence that therapy focused on improving the ability to sense signals from the body in addiction treatment is effective. However, important methodological limitations in interoceptive measures persist, and it is therefore necessary to further investigate the associations between interoception and AUD.
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Affiliation(s)
- Paweł Wiśniewski
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland.
| | - Pierre Maurage
- Louvain Experimental Psychopathology research group (LEP), Psychological Sciences Research Institute, UCLouvain, Louvain-la-Neuve, Belgium
| | - Andrzej Jakubczyk
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Elisa M Trucco
- Department of Psychology, Center for Children and Families, Florida International University, Miami, FL, USA; Department of Psychiatry, Addiction Center, University of Michigan, Ann Arbor, MI, USA
| | - Hubert Suszek
- Department of Psychology, University of Warsaw, Warsaw, Poland
| | - Maciej Kopera
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
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Li L, Yu H, Liu Y, Meng YJ, Li XJ, Zhang C, Liang S, Li ML, Guo W, QiangWang, Deng W, Ma X, Coid J, Li T. Lower regional grey matter in alcohol use disorders: evidence from a voxel-based meta-analysis. BMC Psychiatry 2021; 21:247. [PMID: 33975595 PMCID: PMC8111920 DOI: 10.1186/s12888-021-03244-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 04/28/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Previous research using whole-brain neuroimaging techniques has revealed structural differences of grey matter (GM) in alcohol use disorder (AUD) patients. However, some of the findings diverge from other neuroimaging studies and require further replication. The quantity of relevant research has, thus far, been limited and the association between GM and abstinence duration of AUD patients has not yet been systematically reviewed. METHODS The present research conducted a meta-analysis of voxel-based GM studies in AUD patients published before Jan 2021. The study utilised a whole brain-based d-mapping approach to explore GM changes in AUD patients, and further analysed the relationship between GM deficits, abstinence duration and individual differences. RESULTS The current research included 23 studies with a sample size of 846 AUD patients and 878 controls. The d-mapping approach identified lower GM in brain regions including the right cingulate gyrus, right insula and left middle frontal gyrus in AUD patients compared to controls. Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis. GM atrophy was also found positively correlated with the mean age of the samples in the right insula, and positively correlated with male ratio in the left middle frontal gyrus. CONCLUSIONS GM atrophy was found in the cingulate gyrus and insula in AUD patients. These findings align with published meta-analyses, suggesting they are potential deficits for AUD patients. Abstinence duration, age and gender also affect GM atrophy in AUD patients. This research provides some evidence of the underlying neuroanatomical nature of AUD.
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Affiliation(s)
- Lei Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hua Yu
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yihao Liu
- grid.8391.30000 0004 1936 8024Department of Psychology, College of Life and Environmental Science, University of Exeter, Exeter, UK
| | - Ya-jing Meng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao-jing Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Chengcheng Zhang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Ming-li Li
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjun Guo
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - QiangWang
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jeremy Coid
- grid.412901.f0000 0004 1770 1022Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.13291.380000 0001 0807 1581Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan People’s Republic of China ,grid.412901.f0000 0004 1770 1022Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tao Li
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China. .,Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
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6
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Muller AM, Pennington DL, Meyerhoff DJ. Substance-Specific and Shared Gray Matter Signatures in Alcohol, Opioid, and Polysubstance Use Disorder. Front Psychiatry 2021; 12:795299. [PMID: 35115969 PMCID: PMC8803650 DOI: 10.3389/fpsyt.2021.795299] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/27/2021] [Indexed: 11/13/2022] Open
Abstract
Substance use disorders (SUD) have been shown to be associated with gray matter (GM) loss, particularly in the frontal cortex. However, unclear is to what degree these regional GM alterations are substance-specific or shared across different substances, and if these regional GM alterations are independent of each other or the result of system-level processes at the intrinsic connectivity network level. The T1 weighted MRI data of 65 treated patients with alcohol use disorder (AUD), 27 patients with opioid use disorder (OUD) on maintenance therapy, 21 treated patients with stimulant use disorder comorbid with alcohol use disorder (polysubstance use disorder patients, PSU), and 21 healthy controls were examined via data-driven vertex-wise and voxel-wise GM analyses. Then, structural covariance analyses and open-access fMRI database analyses were used to map the cortical thinning patterns found in the three SUD groups onto intrinsic functional systems. Among AUD and OUD, we identified both common cortical thinning in right anterior brain regions as well as SUD-specific regional GM alterations that were not present in the PSU group. Furthermore, AUD patients had not only the most extended regional thinning but also significantly smaller subcortical structures and cerebellum relative to controls, OUD and PSU individuals. The system-level analyses revealed that AUD and OUD showed cortical thinning in several functional systems. In the AUD group the default mode network was clearly most affected, followed by the salience and executive control networks, whereas the salience and somatomotor network were highlighted as critical for understanding OUD. Structural brain alterations in groups with different SUDs are largely unique in their spatial extent and functional network correlates.
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Affiliation(s)
- Angela M Muller
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,VA Advanced Imaging Research Center (VAARC), San Francisco VA Medical Center, San Francisco, CA, United States
| | - David L Pennington
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.,San Francisco Veterans Affairs Health Care System (SFVAHCS), San Francisco, CA, United States
| | - Dieter J Meyerhoff
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.,VA Advanced Imaging Research Center (VAARC), San Francisco VA Medical Center, San Francisco, CA, United States
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7
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Abstract
Alcohol use disorder (AUD) commonly is associated with compromise in neurobiological and/or neurobehavioral processes. The severity of this compromise varies across individuals and outcomes, as does the degree to which recovery of function is achieved. This narrative review first summarizes neurobehavioral, neurophysiological, structural, and neurochemical aberrations/deficits that are frequently observed in people with AUD after detoxification. Subsequent sections review improvements across these domains during recovery, taking into account modulators of recovery to the extent permitted. Where appropriate, the discussion includes work integrating outcomes across domains, leveraging the strengths of diverse experimental methods. Interventions to ameliorate neurobiological or neurobehavioral deficits do not constitute a primary objective of this review. However, their consideration is a logical inclusion. Therefore, a limited introduction to existing methods is also presented.
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Affiliation(s)
- Sara Jo Nixon
- Department of Psychiatry, University of Florida, Gainesville, Florida.,Center for Addiction Research & Education, University of Florida, Gainesville, Florida
| | - Ben Lewis
- Department of Psychiatry, University of Florida, Gainesville, Florida.,Center for Addiction Research & Education, University of Florida, Gainesville, Florida
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