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Li X, Ramos-Rolón AP, Kass G, Pereira-Rufino LS, Shifman N, Shi Z, Volkow ND, Wiers CE. Imaging neuroinflammation in individuals with substance use disorders. J Clin Invest 2024; 134:e172884. [PMID: 38828729 PMCID: PMC11142750 DOI: 10.1172/jci172884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Abstract
Increasing evidence suggests a role of neuroinflammation in substance use disorders (SUDs). This Review presents findings from neuroimaging studies assessing brain markers of inflammation in vivo in individuals with SUDs. Most studies investigated the translocator protein 18 kDa (TSPO) using PET; neuroimmune markers myo-inositol, choline-containing compounds, and N-acetyl aspartate using magnetic resonance spectroscopy; and fractional anisotropy using MRI. Study findings have contributed to a greater understanding of neuroimmune function in the pathophysiology of SUDs, including its temporal dynamics (i.e., acute versus chronic substance use) and new targets for SUD treatment.
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Affiliation(s)
- Xinyi Li
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Astrid P. Ramos-Rolón
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Gabriel Kass
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Lais S. Pereira-Rufino
- Departamento de Morfologia e Genética, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Naomi Shifman
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Zhenhao Shi
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
| | - Nora D. Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA
| | - Corinde E. Wiers
- Center for Studies of Addiction, University of Pennsylvania Perelman School of Medicine, Department of Psychiatry, Philadelphia, Pennsylvania, USA
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Paul SE, Baranger DAA, Johnson EC, Jackson JJ, Gorelik AJ, Miller AP, Hatoum AS, Thompson WK, Strube M, Dick DM, Kamarajan C, Kramer JR, Plawecki MH, Chan G, Anokhin AP, Chorlian DB, Kinreich S, Meyers JL, Porjesz B, Edenberg HJ, Agrawal A, Bucholz KK, Bogdan R. Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations. Psychol Med 2024:1-14. [PMID: 38721768 DOI: 10.1017/s003329172400076x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
BACKGROUND Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk. METHODS Data came from the Collaborative Study on the Genetics of Alcoholism (n = 3681; ages 11-36). Alcohol transitions (first: drink, intoxication, alcohol use disorder [AUD] symptom, AUD diagnosis), internalizing, and externalizing phenotypes came from the Semi-Structured Assessment for the Genetics of Alcoholism. EF was measured with the Tower of London and Visual Span Tasks. Polygenic scores (PGS) were computed for alcohol-related and behavioral phenotypes. Cox models estimated associations among PGS, behavior, and alcohol milestones. RESULTS Externalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20). CONCLUSIONS Behavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.
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Affiliation(s)
- Sarah E Paul
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - David A A Baranger
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Joshua J Jackson
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Aaron J Gorelik
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Alex P Miller
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alexander S Hatoum
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Wesley K Thompson
- Population Neuroscience and Genetics (PNG) Center, Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Michael Strube
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ, USA
- Rutgers Addiction Research Center, Rutgers University, Piscataway, NJ, USA
| | - Chella Kamarajan
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - John R Kramer
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Martin H Plawecki
- Department of Psychiatry, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Grace Chan
- Department of Psychiatry, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Andrey P Anokhin
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - David B Chorlian
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Sivan Kinreich
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Jacquelyn L Meyers
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Bernice Porjesz
- Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, Brooklyn, NY, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, School of Medicine, Indiana University, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ryan Bogdan
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
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Kamarajan C, Ardekani BA, Pandey AK, Meyers JL, Chorlian DB, Kinreich S, Pandey G, Richard C, de Viteri SS, Kuang W, Porjesz B. Prediction of brain age in individuals with and at risk for alcohol use disorder using brain morphological features. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.01.582844. [PMID: 38496639 PMCID: PMC10942318 DOI: 10.1101/2024.03.01.582844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Brain age measures predicted from structural and functional brain features are increasingly being used to understand brain integrity, disorders, and health. While there is a vast literature showing aberrations in both structural and functional brain measures in individuals with and at risk for alcohol use disorder (AUD), few studies have investigated brain age in these groups. The current study examines brain age measures predicted using brain morphological features, such as cortical thickness and brain volume, in individuals with a lifetime diagnosis of AUD as well as in those at higher risk to develop AUD from families with multiple members affected with AUD (i.e., higher family history density (FHD) scores). The AUD dataset included a group of 30 adult males (mean age = 41.25 years) with a lifetime diagnosis of AUD and currently abstinent and a group of 30 male controls (mean age = 27.24 years) without any history of AUD. A second dataset of young adults who were categorized based on their FHD scores comprised a group of 40 individuals (20 males) with high FHD of AUD (mean age = 25.33 years) and a group of 31 individuals (18 males) with low FHD (mean age = 25.47 years). Brain age was predicted using 187 brain morphological features of cortical thickness and brain volume in an XGBoost regression model; a bias-correction procedure was applied to the predicted brain age. Results showed that both AUD and high FHD individuals showed an increase of 1.70 and 0.09 years (1.08 months), respectively, in their brain age relative to their chronological age, suggesting accelerated brain aging in AUD and risk for AUD. Increased brain age was associated with poor performance on neurocognitive tests of executive functioning in both AUD and high FHD individuals, indicating that brain age can also serve as a proxy for cognitive functioning and brain health. These findings on brain aging in these groups may have important implications for the prevention and treatment of AUD and ensuing cognitive decline.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Babak A. Ardekani
- Center for Advanced Brain Imaging, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA
- Department of Psychiatry, Grossman School of Medicine, New York University, New York, NY 10016, USA
| | - Ashwini K. Pandey
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Christian Richard
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Stacey Saenz de Viteri
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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Kamarajan C, Pandey AK, Chorlian DB, Meyers JL, Kinreich S, Pandey G, Subbie-Saenz de Viteri S, Zhang J, Kuang W, Barr PB, Aliev F, Anokhin AP, Plawecki MH, Kuperman S, Almasy L, Merikangas A, Brislin SJ, Bauer L, Hesselbrock V, Chan G, Kramer J, Lai D, Hartz S, Bierut LJ, McCutcheon VV, Bucholz KK, Dick DM, Schuckit MA, Edenberg HJ, Porjesz B. Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features. Behav Sci (Basel) 2023; 13:bs13050427. [PMID: 37232664 DOI: 10.3390/bs13050427] [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: 03/12/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/27/2023] Open
Abstract
Memory problems are common among older adults with a history of alcohol use disorder (AUD). Employing a machine learning framework, the current study investigates the use of multi-domain features to classify individuals with and without alcohol-induced memory problems. A group of 94 individuals (ages 50-81 years) with alcohol-induced memory problems (the memory group) were compared with a matched control group who did not have memory problems. The random forests model identified specific features from each domain that contributed to the classification of the memory group vs. the control group (AUC = 88.29%). Specifically, individuals from the memory group manifested a predominant pattern of hyperconnectivity across the default mode network regions except for some connections involving the anterior cingulate cortex, which were predominantly hypoconnected. Other significant contributing features were: (i) polygenic risk scores for AUD, (ii) alcohol consumption and related health consequences during the past five years, such as health problems, past negative experiences, withdrawal symptoms, and the largest number of drinks in a day during the past twelve months, and (iii) elevated neuroticism and increased harm avoidance, and fewer positive "uplift" life events. At the neural systems level, hyperconnectivity across the default mode network regions, including the connections across the hippocampal hub regions, in individuals with memory problems may indicate dysregulation in neural information processing. Overall, the study outlines the importance of utilizing multidomain features, consisting of resting-state brain connectivity data collected ~18 years ago, together with personality, life experiences, polygenic risk, and alcohol consumption and related consequences, to predict the alcohol-related memory problems that arise in later life.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Ashwini K Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - David B Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jacquelyn L Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Stacey Subbie-Saenz de Viteri
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Peter B Barr
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
| | - Fazil Aliev
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Andrey P Anokhin
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | | | - Samuel Kuperman
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Laura Almasy
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Alison Merikangas
- The Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sarah J Brislin
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - Grace Chan
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Department of Psychiatry, University of Connecticut, Farmington, CT 06030, USA
| | - John Kramer
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
| | - Dongbing Lai
- Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Sarah Hartz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Laura J Bierut
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Vivia V McCutcheon
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Kathleen K Bucholz
- Department of Psychiatry, School of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Danielle M Dick
- Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Marc A Schuckit
- Department of Psychiatry, University of California, San Diego, CA 92103, USA
| | | | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry and Behavioral Science, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA
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Sullivan EV, Pfefferbaum A. Alcohol use disorder: Neuroimaging evidence for accelerated aging of brain morphology and hypothesized contribution to age-related dementia. Alcohol 2023; 107:44-55. [PMID: 35781021 DOI: 10.1016/j.alcohol.2022.06.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 05/31/2022] [Accepted: 06/09/2022] [Indexed: 12/22/2022]
Abstract
Excessive alcohol use curtails longevity by rendering intoxicated individuals vulnerable to heightened risk from accidents, violence, and alcohol poisoning, and makes chronically heavy drinkers vulnerable to acceleration of age-related medical and psychiatric conditions that can be life threatening (Yoon, Chen, Slater, Jung, & White, 2020). Thus, studies of factors influencing age-alcohol interactions must consider the potential that the alcohol use disorder (AUD) population may not represent the oldest ages of the unaffected population and may well have accrued comorbidities associated with both AUD and aging itself. Herein, we focus on the aging of the brains of men and women with AUD, keeping AUD contextual factors in mind. Knowledge of the potential influence of the AUD-associated co-factors on the condition of brain structure may lead to identifying modifiable risk factors to avert physical declines and may reverse or arrest further AUD-related degradation of the brain. In this narrative review, we 1) describe quantitative, controlled studies of brain macrostructure and microstructure of adults with AUD, 2) consider the possibility of recovery of brain integrity through harm reduction with sustained abstinence or reduced drinking, and 3) speculate on the ramifications of accelerated aging in AUD as contributing to age-related dementia.
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Affiliation(s)
- Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
| | - Adolf Pfefferbaum
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States; Center for Health Sciences, SRI International, Menlo Park, CA, United States
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Differentiating Individuals with and without Alcohol Use Disorder Using Resting-State fMRI Functional Connectivity of Reward Network, Neuropsychological Performance, and Impulsivity Measures. Behav Sci (Basel) 2022; 12:bs12050128. [PMID: 35621425 PMCID: PMC9137599 DOI: 10.3390/bs12050128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/11/2022] [Accepted: 04/27/2022] [Indexed: 11/17/2022] Open
Abstract
Individuals with alcohol use disorder (AUD) may manifest an array of neural and behavioral abnormalities, including altered brain networks, impaired neurocognitive functioning, and heightened impulsivity. Using multidomain measures, the current study aimed to identify specific features that can differentiate individuals with AUD from healthy controls (CTL), utilizing a random forests (RF) classification model. Features included fMRI-based resting-state functional connectivity (rsFC) across the reward network, neuropsychological task performance, and behavioral impulsivity scores, collected from thirty abstinent adult males with prior history of AUD and thirty CTL individuals without a history of AUD. It was found that the RF model achieved a classification accuracy of 86.67% (AUC = 93%) and identified key features of FC and impulsivity that significantly contributed to classifying AUD from CTL individuals. Impulsivity scores were the topmost predictors, followed by twelve rsFC features involving seventeen key reward regions in the brain, such as the ventral tegmental area, nucleus accumbens, anterior insula, anterior cingulate cortex, and other cortical and subcortical structures. Individuals with AUD manifested significant differences in impulsivity and alterations in functional connectivity relative to controls. Specifically, AUD showed heightened impulsivity and hypoconnectivity in nine connections across 13 regions and hyperconnectivity in three connections involving six regions. Relative to controls, visuo-spatial short-term working memory was also found to be impaired in AUD. In conclusion, specific multidomain features of brain connectivity, impulsivity, and neuropsychological performance can be used in a machine learning framework to effectively classify AUD individuals from healthy controls.
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Pandey AK, Ardekani BA, Byrne KNH, Kamarajan C, Zhang J, Pandey G, Meyers JL, Kinreich S, Chorlian DB, Kuang W, Stimus AT, Porjesz B. Statistical Nonparametric fMRI Maps in the Analysis of Response Inhibition in Abstinent Individuals with History of Alcohol Use Disorder. Behav Sci (Basel) 2022; 12:bs12050121. [PMID: 35621418 PMCID: PMC9137506 DOI: 10.3390/bs12050121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 11/26/2022] Open
Abstract
Inhibitory impairments may persist after abstinence in individuals with alcohol use disorder (AUD). Using traditional statistical parametric mapping (SPM) fMRI analysis, which requires data to satisfy parametric assumptions often difficult to satisfy in biophysical system as brain, studies have reported equivocal findings on brain areas responsible for response inhibition, and activation abnormalities during inhibition found in AUD persist after abstinence. Research is warranted using newer analysis approaches. fMRI scans were acquired during a Go/NoGo task from 30 abstinent male AUD and 30 healthy control participants with the objectives being (1) to characterize neuronal substrates associated with response inhibition using a rigorous nonparametric permutation-based fMRI analysis and (2) to determine whether these regions were differentially activated between abstinent AUD and control participants. A blood oxygen level dependent contrast analysis showed significant activation in several right cortical regions and deactivation in some left cortical regions during successful inhibition. The largest source of variance in activation level was due to group differences. The findings provide evidence of cortical substrates employed during response inhibition. The largest variance was explained by lower activation in inhibition as well as ventral attentional cortical networks in abstinent individuals with AUD, which were not found to be associated with length of abstinence, age, or impulsiveness.
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Affiliation(s)
- Ashwini Kumar Pandey
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
- Correspondence:
| | - Babak Assai Ardekani
- Center for Biomedical Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA; (B.A.A.); (K.N.-H.B.)
| | - Kelly Nicole-Helen Byrne
- Center for Biomedical Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA; (B.A.A.); (K.N.-H.B.)
| | - Chella Kamarajan
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Jian Zhang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Jacquelyn Leigh Meyers
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - David Balin Chorlian
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Arthur T. Stimus
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Health Sciences University, 450 Clarkson Avenue, MSC #1203, Brooklyn, NY 11203, USA; (C.K.); (J.Z.); (G.P.); (J.L.M.); (S.K.); (D.B.C.); (W.K.); (A.T.S.); (B.P.)
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Spindler C, Mallien L, Trautmann S, Alexander N, Muehlhan M. A coordinate-based meta-analysis of white matter alterations in patients with alcohol use disorder. Transl Psychiatry 2022; 12:40. [PMID: 35087021 PMCID: PMC8795454 DOI: 10.1038/s41398-022-01809-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 01/04/2022] [Accepted: 01/13/2022] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Besides the commonly described gray matter (GM) deficits, there is growing evidence of significant white matter (WM) alterations in patients with alcohol use disorder (AUD). WM changes can be assessed using volumetric and diffusive magnetic resonance imaging methods, such as voxel-based morphometry (VBM) and diffusion tensor imaging (DTI). The aim of the present meta-analysis is to investigate the spatial convergence of the reported findings on WM alterations in AUD. METHODS Systematic literature search on PubMed and further databases revealed 18 studies eligible for inclusion, entailing a total of 462 AUD patients and 416 healthy controls (up to January 18, 2021). All studies that had used either VBM or DTI whole-brain analyzing methods and reported results as peak-coordinates in standard reference space were considered for inclusion. We excluded studies using approaches non-concordant with recent guidelines for neuroimaging meta-analyses and studies investigating patient groups with Korsakoff syndrome or other comorbid substance use disorders (except tobacco). RESULTS Anatomical likelihood estimation (ALE) revealed four significant clusters of convergent macro- and microstructural WM alterations in AUD patients that were assigned to the genu and body of the corpus callosum, anterior and posterior cingulum, fornix, and the right posterior limb of the internal capsule. DISCUSSION The changes in WM could to some extent explain the deteriorations in motor, cognitive, affective, and perceptual functions seen in AUD. Future studies are needed to clarify how WM alterations vary over the course of the disorder and to what extent they are reversible with prolonged abstinence.
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Affiliation(s)
- Carolin Spindler
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.461732.5ICAN Institute for Cognitive and Affective Neuroscience, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Louisa Mallien
- grid.461732.5Department of Human Medicine, Faculty of Medicine, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Sebastian Trautmann
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.461732.5ICPP Institute for Clinical Psychology and Psychotherapy, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany
| | - Nina Alexander
- grid.461732.5Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457 Hamburg, Germany ,grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, Philipps University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany ,grid.10253.350000 0004 1936 9756Center for Mind, Brain and Behavior, Philipps University Marburg, Hans-Meerwein-Str. 6, 35032 Marburg, Germany
| | - Markus Muehlhan
- Department of Psychology, Faculty of Human Sciences, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany. .,ICAN Institute for Cognitive and Affective Neuroscience, Medical School Hamburg, Am Kaiserkai 1, 20457, Hamburg, Germany.
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9
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Guo X, Yan T, Chen M, Ma X, Li R, Li B, Yang A, Chen Y, Fang T, Yu H, Tian H, Chen G, Zhuo C. Differential effects of alcohol-drinking patterns on the structure and function of the brain and cognitive performance in young adult drinkers: A pilot study. Brain Behav 2022; 12:e2427. [PMID: 34808037 PMCID: PMC8785638 DOI: 10.1002/brb3.2427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION This study was aimed to determine how different patterns of alcohol consumption drive changes to brain structure and function and their correlation with cognitive impairments in young adult alcohol drinkers. METHODS In this study, we enrolled five groups participants and defined as: long-term abstinence from alcohol (LA), binge drinking (BD), long-term low dosage alcohol consumption but exceeding the safety drinking dosage (LD), long-term alcohol consumption of damaging dosage (LDD), and long-term heavy drinking (HD). All participants underwent magnetic resonance imaging (MRI) and functional MRI (fMRI) to acquire data on brain structure and function, including gray matter volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), functional connectivity (FC), and brain network properties. The cognitive ability was evaluated with the California Verbal Learning Test (CVLT), intelligence quotient (IQ), and short delay free recall (SDFR). RESULTS Compared to LA, GMV significantly decreased in the brain regions in VN, SMN, and VAN in the alcohol-drinking groups (BD, LD, LDD, and HD). ReHo was significantly enhanced in the brain regions in VN, SMN, and VAN, while fALFF significantly increased in the brain regions in VN and SMN. The number of intra- and inter-modular connections within networks (VN, SMN, sensory control network [SCN], and VAN) and their connections to other modules were abnormally changed. These changes adversely affected cognition (e.g., IQ, CVLT, SDFR). CONCLUSION Despite the small sample size, this study provides new evidence supporting the need for young people to abstain from alcohol to protect their brains. These findings present strong reasoning for updating anti-alcohol slogans and guidelines for young people in the future.
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Affiliation(s)
- Xiaobing Guo
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tongjun Yan
- Department of Psychiatry, 904th Hospital of PLA, Changzhou, Jiangsu, China
| | - Min Chen
- Institute of Mental Health, Jining Medical University, Jining, China
| | - Xiaoyan Ma
- Department of Alcohol Dependence Management, Tianjin Anding Hospital, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin, China.,Tianjin Anding Hospital, Tianjin Mental Health Center, Key Laboratory of Psychiatry Neuroimaging-Genetics and Co-morbidity (PNGC_Lab) of Tianjin Medical University Clinical Hospital of Mental Health, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Ranli Li
- Department of Alcohol Dependence Management, Tianjin Anding Hospital, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin, China.,Tianjin Anding Hospital, Tianjin Mental Health Center, Key Laboratory of Psychiatry Neuroimaging-Genetics and Co-morbidity (PNGC_Lab) of Tianjin Medical University Clinical Hospital of Mental Health, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Bo Li
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Anqu Yang
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Yuhui Chen
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Tao Fang
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Haiping Yu
- Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Hongjun Tian
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Guangdong Chen
- Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chuanjun Zhuo
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China.,Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
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10
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Meyers JL, Zhang J, Chorlian DB, Pandey AK, Kamarajan C, Wang JC, Wetherill L, Lai D, Chao M, Chan G, Kinreich S, Kapoor M, Bertelsen S, McClintick J, Bauer L, Hesselbrock V, Kuperman S, Kramer J, Salvatore JE, Dick DM, Agrawal A, Foroud T, Edenberg HJ, Goate A, Porjesz B. A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior. Mol Psychiatry 2021; 26:5040-5052. [PMID: 32433515 PMCID: PMC8503860 DOI: 10.1038/s41380-020-0777-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/14/2020] [Accepted: 05/04/2020] [Indexed: 12/23/2022]
Abstract
Aberrant connectivity of large-scale brain networks has been observed among individuals with alcohol use disorders (AUDs) as well as in those at risk, suggesting deficits in neural communication between brain regions in the liability to develop AUD. Electroencephalographical (EEG) coherence, which measures the degree of synchrony between brain regions, may be a useful measure of connectivity patterns in neural networks for studying the genetics of AUD. In 8810 individuals (6644 of European and 2166 of African ancestry) from the Collaborative Study on the Genetics of Alcoholism (COGA), we performed a Multi-Trait Analyses of genome-wide association studies (MTAG) on parietal resting-state theta (3-7 Hz) EEG coherence, which previously have been associated with AUD. We also examined developmental effects of GWAS findings on trajectories of neural connectivity in a longitudinal subsample of 2316 adolescent/young adult offspring from COGA families (ages 12-30) and examined the functional and clinical significance of GWAS variants. Six correlated single nucleotide polymorphisms located in a brain-expressed lincRNA (ENSG00000266213) on chromosome 18q23 were associated with posterior interhemispheric low theta EEG coherence (3-5 Hz). These same variants were also associated with alcohol use behavior and posterior corpus callosum volume, both in a subset of COGA and in the UK Biobank. Analyses in the subsample of COGA offspring indicated that the association of rs12954372 with low theta EEG coherence occurred only in females, most prominently between ages 25 and 30 (p < 2 × 10-9). Converging data provide support for the role of genetic variants on chromosome 18q23 in regulating neural connectivity and alcohol use behavior, potentially via dysregulated myelination. While findings were less robust, genome-wide associations were also observed with rs151174000 and parieto-frontal low theta coherence, rs14429078 and parieto-occipital interhemispheric high theta coherence, and rs116445911 with centro-parietal low theta coherence. These novel genetic findings highlight the utility of the endophenotype approach in enhancing our understanding of mechanisms underlying addiction susceptibility.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA.
| | - Jian Zhang
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - David B Chorlian
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Ashwini K Pandey
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Chella Kamarajan
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Jen-Chyong Wang
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Dongbing Lai
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Michael Chao
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Grace Chan
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Sivan Kinreich
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
| | - Manav Kapoor
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sarah Bertelsen
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jeanette McClintick
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Lance Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, 06030, USA
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, USA
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA, 52242, USA
| | - Jessica E Salvatore
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Danielle M Dick
- Department of Psychology and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, 23284, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Alison Goate
- Departments of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Departments of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bernice Porjesz
- Department of Psychiatry and the Henri Begleiter Neurodynamics Laboratory, State University of New York Downstate Medical Center, Brooklyn, NY, 11203, USA
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11
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Muller AM, Meyerhoff DJ. Frontocerebellar gray matter plasticity in alcohol use disorder linked to abstinence. NEUROIMAGE-CLINICAL 2021; 32:102788. [PMID: 34438322 PMCID: PMC8387922 DOI: 10.1016/j.nicl.2021.102788] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 08/08/2021] [Accepted: 08/10/2021] [Indexed: 12/26/2022]
Abstract
GM loss in frontocerebellar circuit predicts relapse. GM recovery in AUD involves distinct neural processes. Recovery is not a reversal of any AUD-related GM damage.
Alcohol use disorder (AUD) is associated with brain-wide gray matter (GM) reduction, but the frontocerebellar circuit seems specifically affected by chronic alcohol consumption. T1 weighted MRI data from 38 AUD patients at one month of sobriety and three months later and from 25 controls were analyzed using voxel-based morphometry (VBM) and a graph theory approach (GTA). We investigated the degree to which the frontocerebellar circuit’s integration within the brain’s GM network architecture was altered by AUD-related GM volume loss. The VBM analyses did not reveal significant GM volume differences between relapsers and abstainers at either timepoint, but future relapsers at both timepoints had significantly less GM than controls in the frontocerebellar circuit. Abstainers, who at baseline also showed the most pronounced GM loss in the thalamus, showed a significant circuit-wide GM increase with inter-scan abstinence. The post-hoc GTAs revealed a persistent diffuse global atrophy in both AUD groups at follow-up relative to controls and different recovery patterns in the two AUD groups. Our findings suggest that future relapsers do not just present with a more severe expression of the same AUD consequences than abstainers, but that AUD affects the frontocerebellar circuit differently in relapsers and abstainers.
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Affiliation(s)
- Angela M Muller
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA; VA Advanced Imaging Research Center (VAARC), San Francisco VA Medical Center, San Francisco, CA, USA.
| | - Dieter J Meyerhoff
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA; VA Advanced Imaging Research Center (VAARC), San Francisco VA Medical Center, San Francisco, CA, USA
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12
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Bahorik A, Bobrow K, Hoang T, Yaffe K. Increased risk of dementia in older female US veterans with alcohol use disorder. Addiction 2021; 116:2049-2055. [PMID: 33449402 DOI: 10.1111/add.15416] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/15/2020] [Accepted: 01/06/2021] [Indexed: 12/14/2022]
Abstract
AIM To determine whether alcohol use disorder (AUD) is associated with increased dementia risk among older women veterans. DESIGN Cohort study. SETTING United States. PARTICIPANTS Women veterans with AUD aged ≥ 55 years (n = 2207), receiving care from Veterans Health Administration medical centers from October 2004 to September 2015 with one or more follow-up visit and an age-matched sample of women veterans without AUD (n = 2207). Women at baseline with prevalent dementia or AUD in remission were excluded. MEASUREMENTS AUD, substance use disorder (SUD), smoking, psychiatric (depression, anxiety, post-traumatic stress disorder, anxiety) and medical comorbidities (diabetes, hypertension, stroke, chronic obstructive pulmonary disorder, traumatic brain disorder) and dementia determined by the International Classification of Diseases, 9th revision, Clinical Modification codes. Cox proportional hazards models were used to determine the association between AUD and dementia risk during follow-up. Sensitivity analyses were performed by excluding women (n = 349) with comorbid SUD and by excluding women (n = 1568) currently smoking. FINDINGS Veteran women had a mean [standard deviation (SD)] age of 65.0 (5.6) years at baseline. During follow-up (median 4 years, interquartile range: 2-6) 3.7% of women (n = 82) with AUD developed dementia compared with 1.1% (n = 24) without AUD (P < 0.001). After adjustment for demographics, medical and psychiatric conditions and accounting for different Veteran's Integrated Service Networks, the adjusted hazard ratio (aHR) for dementia was 3.12 (95% CI = 1.90-5.12) for women with AUD compared with women without AUD. After removing women with SUD (aHR = 3.53, 95% CI = 2.13-5.85) and women currently smoking (aHR = 3.80, 95% CI = 2.11-6.84), results were similar. CONCLUSIONS Alcohol use disorder among female US veterans aged more than 55 years appears to be associated with a more than threefold increase of dementia.
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Affiliation(s)
- Amber Bahorik
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Kirsten Bobrow
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Tina Hoang
- Northern California Institute for Research and Education, San Francisco, CA, USA.,San Francisco VA Medical Center, California, CA, USA
| | - Kristine Yaffe
- Department of Psychiatry, University of California, San Francisco, CA, USA.,Northern California Institute for Research and Education, San Francisco, CA, USA.,San Francisco VA Medical Center, California, CA, USA.,Department of Neurology, University of California, San Francisco, CA, USA
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13
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Lee J, Ju G, Son JW, Shin CJ, Lee SI, Park H, Kim S. White matter integrity in alcohol-dependent patients with long-term abstinence. Medicine (Baltimore) 2021; 100:e26078. [PMID: 34032740 PMCID: PMC8154411 DOI: 10.1097/md.0000000000026078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Accepted: 05/05/2021] [Indexed: 11/26/2022] Open
Abstract
Based on association studies on amounts of alcohol consumed and cortical and subcortical structural shrinkage, we investigated the effect of chronic alcohol consumption on white matter pathways using probabilistic tractography.Twenty-three alcohol-dependent men (with an average sobriety of 13.1 months) from a mental health hospital and 22 age-matched male healthy social drinkers underwent 3T magnetic resonance imaging. Eighteen major white matter pathways were reconstructed using the TRActs Constrained by UnderLying Anatomy tool (provided by the FreeSurfer). The hippocampal volumes were estimated using an automated procedure. The lifetime drinking history interview, Alcohol Use Disorder Identification Test, Brief Michigan Alcoholism Screening Test, and pack-years of smoking were also evaluated.Analysis of covariance controlling for age, cigarette smoking, total motion index indicated that there was no definite difference of diffusion parameters between the 2 groups after multiple comparison correction. As hippocampal volume decreased, the fractional anisotropy of the right cingulum-angular bundle decreased. Additionally, the axial diffusivity of right cingulum-angular bundle was positively correlated with the alcohol abstinence period.The results imply resilience of white matter in patients with alcohol dependence. Additional longitudinal studies with multimodal methods and neuropsychological tests may improve our findings of the changes in white matter pathways in patients with alcohol dependence.
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Affiliation(s)
- Jeonghwan Lee
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Gawon Ju
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Jung-Woo Son
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Chul-Jin Shin
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Sang Ick Lee
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Hyemi Park
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
| | - Siekyeong Kim
- Department of Psychiatry, Chungbuk National University Hospital
- Department of Psychiatry, Chungbuk National University College of Medicine, Cheongju, South Korea
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14
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Zhang M, Liu S, Wang S, Xu Y, Chen L, Shao Z, Wen X, Yang W, Liu J, Yuan K. Reduced thalamic resting-state functional connectivity and impaired cognition in acute abstinent heroin users. Hum Brain Mapp 2021; 42:2077-2088. [PMID: 33459459 PMCID: PMC8046054 DOI: 10.1002/hbm.25346] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 12/13/2022] Open
Abstract
As a critical component of cortico-striato-thalamo-cortical loop in addiction, our understanding of the thalamus in impaired cognition of heroin users (HU) has been limited. Due to the complex thalamic connection with cortical and subcortical regions, thalamus was divided into prefrontal (PFC), occipital (OC), premotor, primary motor, sensory, temporal, and posterior parietal association subregions according to white matter tractography. We adopted seven subregions of bilateral thalamus as regions of interest to systematically study the implications of distinct thalamic nuclei in acute abstinent HU. The volume and resting-state functional connectivity (RSFC) differences of the thalamus were investigated between age-, gender-, and alcohol-matched 37 HU and 33 healthy controls (HCs). Trail making test-A (TMT-A) was adopted to assess cognitive function deficits, which were then correlated with neuroimaging findings. Although no significant different volumes were found, HU group showed decreased RSFC between left PFC_thalamus and middle temporal gyrus as well as between left OC_thalamus and inferior frontal gyrus and supplementary motor area relative to HCs. Meanwhile, the higher TMT-A scores in HU were negatively correlated with PFC_thalamic RSFC with inferior temporal gyrus, fusiform, and precuneus. Craving scores were negatively correlated with OC_thalamic RSFC with accumbens, hippocampus, and insula. Opiate Withdrawal Scale scores were negatively correlated with left PFC/OC_thalamic RSFC with orbitofrontal cortex and medial PFC. We indicated two thalamus subregions separately involvement in cognitive control and craving to reveal the implications of thalamic subnucleus in pathology of acute abstinent HU.
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Affiliation(s)
- Min Zhang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shuang Liu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shicong Wang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Yan Xu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Longmao Chen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Ziqiang Shao
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Xinwen Wen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Wenhan Yang
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Jun Liu
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Kai Yuan
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
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15
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Bach EC, Morgan JW, Ewin SE, Barth SH, Raab-Graham KF, Weiner JL. Chronic Ethanol Exposures Leads to a Negative Affective State in Female Rats That Is Accompanied by a Paradoxical Decrease in Ventral Hippocampus Excitability. Front Neurosci 2021; 15:669075. [PMID: 33994940 PMCID: PMC8119765 DOI: 10.3389/fnins.2021.669075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 03/30/2021] [Indexed: 11/13/2022] Open
Abstract
Alcohol use disorder (AUD) differentially impacts men and women and a growing body of evidence points to sex-dependent adaptations in a number of brain regions. In a prior study, we explored the effect of a chronic intermittent ethanol exposure (CIE) model of AUD on neuronal and molecular adaptations in the dorsal and ventral domains of the hippocampus (dHC and vHC, respectively) in male rats. We found the vHC to be particularly sensitive to CIE, showing an increase in neuronal excitability and synaptic proteins associated with augmented excitation. These findings were accompanied by a CIE-dependent increase in anxiety-like behaviors. To explore sex-dependent adaptations in the hippocampus, we conducted a similar study in female rats. CIE-treated female rats showed a relatively modest increase in anxiety-like behaviors along with a robust increase in depressive-like measures. Despite both sexes showing clear evidence of a negative affective state following CIE, the vHC of females showed a decrease, rather than an increase, in neuronal excitability. In line with the reduced sensitivity to neural adaptations in the dHC of male rats, we were unable to identify any functional changes in the dHC of females. The functional changes of the vHC in female rats could not be explained by altered expression levels of a number of proteins typically associated with changes in neuronal excitability. Taken together, these findings point to sex as a major factor in CIE-dependent hippocampal adaptations that should be explored further to better understand possible gender differences in the etiology and treatment of AUD.
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Affiliation(s)
- Eva C Bach
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - James W Morgan
- Department of Anesthesia, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Sarah E Ewin
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Samuel H Barth
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Kimberly F Raab-Graham
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Jeffrey L Weiner
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
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Chronic intermittent ethanol promotes ventral subiculum hyperexcitability via increases in extrinsic basolateral amygdala input and local network activity. Sci Rep 2021; 11:8749. [PMID: 33888757 PMCID: PMC8062451 DOI: 10.1038/s41598-021-87899-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 03/23/2021] [Indexed: 11/09/2022] Open
Abstract
The hippocampus, particularly its ventral domain, can promote negative affective states (i.e. stress and anxiety) that play an integral role in the development and persistence of alcohol use disorder (AUD). The ventral hippocampus (vHC) receives strong excitatory input from the basolateral amygdala (BLA) and the BLA-vHC projection bidirectionally modulates anxiety-like behaviors. However, no studies have examined the effects of chronic alcohol on the BLA-vHC circuit. In the present study, we used ex vivo electrophysiology in conjunction with optogenetic approaches to examine the effects of chronic intermittent ethanol exposure (CIE), a well-established rodent model of AUD, on the BLA-vHC projection and putative intrinsic vHC synaptic plasticity. We discovered prominent BLA innervation in the subicular region of the vHC (vSub). CIE led to an overall increase in the excitatory/inhibitory balance, an increase in AMPA/NMDA ratios but no change in paired-pulse ratios, consistent with a postsynaptic increase in excitability in the BLA-vSub circuit. CIE treatment also led to an increase in intrinsic network excitability in the vSub. Overall, our findings suggest a hyperexcitable state in BLA-vSub specific inputs as well as intrinsic inputs to vSub pyramidal neurons which may contribute to the negative affective behaviors associated with CIE.
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17
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Draps M, Kowalczyk-Grębska N, Marchewka A, Shi F, Gola M. White matter microstructural and Compulsive Sexual Behaviors Disorder - Diffusion Tensor Imaging study. J Behav Addict 2021; 10:55-64. [PMID: 33570504 PMCID: PMC8969848 DOI: 10.1556/2006.2021.00002] [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: 06/03/2020] [Revised: 10/30/2020] [Accepted: 12/27/2020] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND AND AIMS Even though the Compulsive Sexual Behavior Disorder (CSBD) was added to the ICD-11 under the impulse control category in 2019, its neural mechanisms are still debated. Researchers have noted its similarity both to addiction and to Obssesive-Compulsive Disorder (OCD). The aim of our study was to address this question by investigating the pattern of anatomical brain abnormalities among CSBD patients. METHODS Reviewing 39 publications on Diffusion Tensor Imaging (DTI) we have identified main abnormalities specific for addictions and OCD. Than we have collected DTI data from 36 heterosexual males diagnosed with CSBD and 31 matched healthy controls. These results were then compared to the addiction and OCD patterns. RESULTS Compared to controls, CSBD individuals showed significant fractional anisotropy (FA) reduction in the superior corona radiata tract, the internal capsule tract, cerebellar tracts and occipital gyrus white matter. Interestingly, all these regions were also identified in previous studies as shared DTI correlates in both OCD and addiction. DISCUSSION AND CONCLUSIONS Results of our study suggest that CSBD shares similar pattern of abnormalities with both OCD and addiction. As one of the first DTI study comparing structural brain differences between CSBD, addictions and OCD, although it reveals new aspects of CSBD, it is insufficient to determine whether CSBD resembles more an addiction or OCD. Further research, especially comparing directly individuals with all three disorders may provide more conclusive results.
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Affiliation(s)
- Małgorzata Draps
- Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland,Corresponding author. E-mail:
| | | | - Artur Marchewka
- Laboratory of Brain Imaging, Neurobiology Center, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Feng Shi
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Mateusz Gola
- Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland,Swartz Center for Computational Neuroscience, Institute for Neural Computations, University of California San Diego, San Diego, USA
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18
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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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19
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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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20
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Wiers CE, Cunningham SI, Tomasi DG, Ernst T, Chang L, Shokri-Kojori E, Wang GJ, Volkow ND. Elevated thalamic glutamate levels and reduced water diffusivity in alcohol use disorder: Association with impulsivity. Psychiatry Res Neuroimaging 2020; 305:111185. [PMID: 32957041 PMCID: PMC9347183 DOI: 10.1016/j.pscychresns.2020.111185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 12/31/2022]
Abstract
Alcohol induces neuroinflammation but its role in cognitive impairment and impulsivity in alcohol use disorder (AUD) has been poorly investigated. We used proton magnetic resonance spectroscopy to measure brain glutamate (Glu) levels and diffusion-weighted imaging to measure functional anisotropy (FA) in the thalamus and ventral anterior cingulate cortex (vACC) in 15 recently detoxified patients with AUD and 14 matched controls. Compared to controls, AUD patients showed higher Glu levels (p = 0.04) and lower FA in the thalamus (p = 0.04) but not in the vACC. In AUD, thalamic Glu levels (r = 0.62, p = 0.019) and FA (r=-0.55, p = 0.034) were associated with severity of drinking (drinks/week). Compared to controls, AUD patients showed higher scores on Conners' Adult ADHD Rating Scale for impulsivity (p = 0.03), which correlated with glutamate levels in the thalamus (r = 0.58, p = 0.03) and vACC (r = 0.55, p = 0.036). In a second cohort of AUD patients (n = 32), Glu in dorsal ACC (dACC) also correlated with Barrett Impulsiveness Scale total score (r = 0.43, p = 0.014). We interpret the elevated thalamic Glu levels and the parallel reduction in FA in AUD-which correlated with drinking severity-as possible evidence of neurotoxicity from neuroinflammation. The association of Glu with impulsivity suggests that neurotoxic effects of chronic alcohol exposure in the thalamus and dACC may contribute to impulsivity.
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Affiliation(s)
- Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
| | | | - Dardo G Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD. USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD. USA; Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA; National Institute on Drug Abuse, Bethesda, MD, USA.
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21
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Subbie-Saenz de Viteri S, Pandey A, Pandey G, Kamarajan C, Smith R, Anokhin A, Bauer L, Bender A, Chan G, Dick D, Edenberg H, Kinreich S, Kramer J, Schuckit M, Zang Y, McCutcheon V, Bucholz K, Porjesz B, Meyers JL. Pathways to post-traumatic stress disorder and alcohol dependence: Trauma, executive functioning, and family history of alcoholism in adolescents and young adults. Brain Behav 2020; 10:e01789. [PMID: 32990406 PMCID: PMC7667345 DOI: 10.1002/brb3.1789] [Citation(s) in RCA: 4] [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: 11/21/2019] [Revised: 07/15/2020] [Accepted: 07/17/2020] [Indexed: 12/19/2022] Open
Abstract
INTRODUCTION Family history (FH) of alcohol dependence is likely to increase the risk of trauma exposure, post-traumatic stress disorder (PTSD), and alcohol dependence. FH of alcohol dependence and trauma has been separately shown to adversely affect planning/problem-solving aspects of executive function. However, few studies have examined these risk factors in an integrated model. METHODS Using data from trauma-exposed individuals from the Collaborative Study on the Genetics of Alcoholism prospective cohort (N = 1,860), comprising offspring from alcohol-dependent high-risk and comparison families (mean age [SE] = 21.9 [4.2]), we investigated associations of trauma (nonsexual assaultive, nonassaultive, sexual assaultive) with DSM-IV PTSD and alcohol dependence symptom counts, and planning/problem-solving abilities assessed using the Tower of London Test (TOLT). Moderating effects of family history density of alcohol use disorder (FHD) on these associations and sex differences were explored. RESULTS Family history density was positively associated with PTSD in female participants who endorsed a sexual assaultive trauma. Exposure to nonsexual assaultive trauma was associated with more excess moves made on the TOLT. CONCLUSION Findings from this study demonstrate associations with PTSD and alcohol dependence symptom counts, as well as poor problem-solving ability in trauma-exposed individuals from families densely affected with alcohol dependence, depending on trauma type, FHD, and sex. This suggests that having a FH of alcohol dependence and exposure to trauma during adolescence may be associated with more PTSD and alcohol dependence symptoms, and poor problem-solving abilities in adulthood.
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Affiliation(s)
| | - Ashwini Pandey
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Gayathri Pandey
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Chella Kamarajan
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Rebecca Smith
- Virginia Commonwealth University, Richmond, Virginia, USA
| | - Andrey Anokhin
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Lance Bauer
- University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Annah Bender
- University of Missouri, St. Louis, Missouri, USA
| | - Grace Chan
- University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Danielle Dick
- Virginia Commonwealth University, Richmond, Virginia, USA
| | - Howard Edenberg
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Sivan Kinreich
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | | | | | - Yong Zang
- Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Vivia McCutcheon
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kathleen Bucholz
- Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bernice Porjesz
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
| | - Jacquelyn L Meyers
- State University of New York Downstate Health Sciences University, Brooklyn, New York, USA
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22
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Sawyer KS, Adra N, Salz DM, Kemppainen MI, Ruiz SM, Harris GJ, Oscar-Berman M. Hippocampal subfield volumes in abstinent men and women with a history of alcohol use disorder. PLoS One 2020; 15:e0236641. [PMID: 32776986 PMCID: PMC7416961 DOI: 10.1371/journal.pone.0236641] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 07/10/2020] [Indexed: 12/05/2022] Open
Abstract
Alcohol Use Disorder (AUD) has been associated with abnormalities in hippocampal volumes, but these relationships have not been fully explored with respect to sub-regional volumes, nor in association with individual characteristics such as age, gender differences, drinking history, and memory. The present study examined the impact of those variables in relation to hippocampal subfield volumes in abstinent men and women with a history of AUD. Using Magnetic Resonance Imaging at 3 Tesla, we obtained brain images from 67 participants with AUD (31 women) and 64 nonalcoholic control (NC) participants (31 women). The average duration of the most recent period of sobriety for AUD participants was 7.1 years. We used Freesurfer 6.0 to segment the hippocampus into 12 regions. These were imputed into statistical models to examine the relationships of brain volume with AUD group, age, gender, memory, and drinking history. Interactions with gender and age were of particular interest. Compared to the NC group, the AUD group had approximately 5% smaller subiculum, CA1, molecular layer, and hippocampal tail regions. Age was negatively associated with volumes for the AUD group in the subiculum and the hippocampal tail, but no significant interactions with gender were identified. The relationships for delayed and immediate memory with hippocampal tail volume differed for AUD and NC groups: Higher scores on tests of immediate and delayed memory were associated with smaller volumes in the AUD group, but larger volumes in the NC group. Length of sobriety was associated with decreasing CA1 volume in women (0.19% per year) and increasing volume size in men (0.38% per year). The course of abstinence on CA1 volume differed for men and women, and the differential relationships of subfield volumes to age and memory could indicate a distinction in the impact of AUD on functions of the hippocampal tail. These findings confirm and extend evidence that AUD, age, gender, memory, and abstinence differentially impact volumes of component parts of the hippocampus.
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Affiliation(s)
- Kayle S. Sawyer
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
- Sawyer Scientific, LLC, Boston, MA, United States of America
| | - Noor Adra
- VA Boston Healthcare System, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Daniel M. Salz
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Maaria I. Kemppainen
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Susan M. Ruiz
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Gordon J. Harris
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Marlene Oscar-Berman
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
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23
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Kamarajan C, Ardekani BA, Pandey AK, Chorlian DB, Kinreich S, Pandey G, Meyers JL, Zhang J, Kuang W, Stimus AT, Porjesz B. Random Forest Classification of Alcohol Use Disorder Using EEG Source Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. Behav Sci (Basel) 2020; 10:bs10030062. [PMID: 32121585 PMCID: PMC7139327 DOI: 10.3390/bs10030062] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 12/16/2022] Open
Abstract
: Individuals with alcohol use disorder (AUD) manifest a variety of impairments that can be attributed to alterations in specific brain networks. The current study aims to identify features of EEG-based functional connectivity, neuropsychological performance, and impulsivity that can classify individuals with AUD (N = 30) from unaffected controls (CTL, N = 30) using random forest classification. The features included were: (i) EEG source functional connectivity (FC) of the default mode network (DMN) derived using eLORETA algorithm, (ii) neuropsychological scores from the Tower of London test (TOLT) and the visual span test (VST), and (iii) impulsivity factors from the Barratt impulsiveness scale (BIS). The random forest model achieved a classification accuracy of 80% and identified 29 FC connections (among 66 connections per frequency band), 3 neuropsychological variables from VST (total number of correctly performed trials in forward and backward sequences and average time for correct trials in forward sequence) and all four impulsivity scores (motor, non-planning, attentional, and total) as significantly contributing to classifying individuals as either AUD or CTL. Although there was a significant age difference between the groups, most of the top variables that contributed to the classification were not significantly correlated with age. The AUD group showed a predominant pattern of hyperconnectivity among 25 of 29 significant connections, indicating aberrant network functioning during resting state suggestive of neural hyperexcitability and impulsivity. Further, parahippocampal hyperconnectivity with other DMN regions was identified as a major hub region dysregulated in AUD (13 connections overall), possibly due to neural damage from chronic drinking, which may give rise to cognitive impairments, including memory deficits and blackouts. Furthermore, hypoconnectivity observed in four connections (prefrontal nodes connecting posterior right-hemispheric regions) may indicate a weaker or fractured prefrontal connectivity with other regions, which may be related to impaired higher cognitive functions. The AUD group also showed poorer memory performance on the VST task and increased impulsivity in all factors compared to controls. Features from all three domains had significant associations with one another. These results indicate that dysregulated neural connectivity across the DMN regions, especially relating to hyperconnected parahippocampal hub as well as hypoconnected prefrontal hub, may potentially represent neurophysiological biomarkers of AUD, while poor visual memory performance and heightened impulsivity may serve as cognitive-behavioral indices of AUD.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
- Correspondence: ; Tel.: +1-718-270-2913
| | - Babak A. Ardekani
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
- Department of Psychiatry, NYU School of Medicine, New York, NY 10016, USA
| | - Ashwini K. Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Weipeng Kuang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Arthur T. Stimus
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (D.B.C.); (S.K.); (G.P.); (J.L.M.); (J.Z.); (W.K.); (A.T.S.); (B.P.)
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24
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Li B, Liu YX, Li HJ, Yuan Q, Zhu PW, Ye L, Su T, Shi WQ, Lin Q, Min YL, Xu XW, Shao Y. Reduced gray matter volume in patients with retinal detachment: evidence from a voxel-based morphometry study. Acta Radiol 2020; 61:395-403. [PMID: 31319688 DOI: 10.1177/0284185119861898] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
BackgroundWe know little about the pathogenesis and diagnosis of retinal detachment.PurposeTo assess spontaneous changes in the cerebral cortex of patients with retinal detachment using voxel-based morphometry and to explore the relationship between retinal detachment and clinical behavioral performance.Material and MethodsPatients (14 men, 6 women; average age = 49.15 ± 10.32 years) with rhegmatogenous retinal detachment (duration of 24.05 ± 19.61 days) and 20 matched healthy controls were recruited. All participants underwent repeated functional magnetic resonance imaging scans. The original three-dimensional T1 brain images were analyzed using voxel-based morphometry and whole brain white matter volume and whole brain gray matter volume were compared with those of the control group. A receiver operating characteristic (ROC) curve was used to classify the mean gray matter volume values of the patients with retinal detachment compared with the controls.ResultsCompared with the controls, whole brain gray matter volume was significantly reduced in patients with retinal detachment, as evidenced by changes in the right inferior frontal gyrus, right superior temporal gyrus, right anterior cingulate gyrus, and right cuneus. In addition, the posterior lobe of the cerebellum, left hippocampus, left cingulate gyrus, and left middle temporal gyrus were also obviously atrophied. Furthermore, whole brain white matter volume of the patients with retinal detachment showed a slight reduction. The ROC curve analysis of each brain region showed that the accuracy of the area under the curve was high.ConclusionWe proved that patients with retinal detachment had unusual changes in the gray matter volume and white matter volume in vision-related brain regions, which could reveal potential pathological mechanisms of retinal detachment.
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Affiliation(s)
- Biao Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Yu-Xin Liu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Hai-Jun Li
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, PR China
| | - Qing Yuan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Pei-Wen Zhu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Lei Ye
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Ting Su
- Eye Institute of Xiamen University, Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Fujian, PR China
| | - Wen-Qing Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Qi Lin
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - You-Lan Min
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Xiao-Wei Xu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
| | - Yi Shao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Ocular Disease Clinical Research Center, Nanchang, Jiangxi, PR China
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Kamarajan C, Ardekani BA, Pandey AK, Kinreich S, Pandey G, Chorlian DB, Meyers JL, Zhang J, Bermudez E, Stimus AT, Porjesz B. Random Forest Classification of Alcohol Use Disorder Using fMRI Functional Connectivity, Neuropsychological Functioning, and Impulsivity Measures. Brain Sci 2020; 10:brainsci10020115. [PMID: 32093319 PMCID: PMC7071377 DOI: 10.3390/brainsci10020115] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 02/12/2020] [Accepted: 02/18/2020] [Indexed: 12/22/2022] Open
Abstract
Individuals with alcohol use disorder (AUD) are known to manifest a variety of neurocognitive impairments that can be attributed to alterations in specific brain networks. The current study aims to identify specific features of brain connectivity, neuropsychological performance, and impulsivity traits that can classify adult males with AUD (n = 30) from healthy controls (CTL, n = 30) using the Random Forest (RF) classification method. The predictor variables were: (i) fMRI-based within-network functional connectivity (FC) of the Default Mode Network (DMN), (ii) neuropsychological scores from the Tower of London Test (TOLT), and the Visual Span Test (VST), and (iii) impulsivity factors from the Barratt Impulsiveness Scale (BIS). The RF model, with a classification accuracy of 76.67%, identified fourteen DMN connections, two neuropsychological variables (memory span and total correct scores of the forward condition of the VST), and all impulsivity factors as significantly important for classifying participants into either the AUD or CTL group. Specifically, the AUD group manifested hyperconnectivity across the bilateral anterior cingulate cortex and the prefrontal cortex as well as between the bilateral posterior cingulate cortex and the left inferior parietal lobule, while showing hypoconnectivity in long-range anterior-posterior and interhemispheric long-range connections. Individuals with AUD also showed poorer memory performance and increased impulsivity compared to CTL individuals. Furthermore, there were significant associations among FC, impulsivity, neuropsychological performance, and AUD status. These results confirm the previous findings that alterations in specific brain networks coupled with poor neuropsychological functioning and heightened impulsivity may characterize individuals with AUD, who can be efficiently identified using classification algorithms such as Random Forest.
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Affiliation(s)
- Chella Kamarajan
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
- Correspondence: ; Tel.: +1-718-270-2913
| | - Babak A. Ardekani
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;
- Department of Psychiatry, NYU School of Medicine, New York, NY 10016, USA;
| | - Ashwini K. Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Sivan Kinreich
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Gayathri Pandey
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - David B. Chorlian
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Jacquelyn L. Meyers
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Jian Zhang
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Elaine Bermudez
- Department of Psychiatry, NYU School of Medicine, New York, NY 10016, USA;
| | - Arthur T. Stimus
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
| | - Bernice Porjesz
- Henri Begleiter Neurodynamics Lab, Department of Psychiatry, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, USA; (A.K.P.); (S.K.); (G.P.); (D.B.C.); (J.L.M.); (J.Z.); (A.T.S.); (B.P.)
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26
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Crespi C, Galandra C, Canessa N, Manera M, Poggi P, Basso G. Microstructural damage of white-matter tracts connecting large-scale networks is related to impaired executive profile in alcohol use disorder. Neuroimage Clin 2019; 25:102141. [PMID: 31927501 PMCID: PMC6953958 DOI: 10.1016/j.nicl.2019.102141] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 12/18/2019] [Accepted: 12/21/2019] [Indexed: 12/16/2022]
Abstract
Alcohol Use Disorders (AUD) is associated with negative consequences on global functioning, likely reflecting chronic changes in brain morphology and connectivity. Previous attempts to characterize cognitive impairment in AUD addressed patients' performance in single domains, without considering their cognitive profile as a whole. While altered cognitive performance likely reflects abnormal white-matter microstructural properties, to date no study has directly addressed the relationship between a proxy of patients' cognitive profile and microstructural damage. To fill this gap we aimed to characterize the microstructural damage pattern, and its relationship with cognitive profile, in treatment-seeking AUD patients. Twenty-two AUD patients and 18 healthy controls underwent a multimodal MRI protocol including diffusion tensor imaging (DTI), alongside a comprehensive neurocognitive assessment. We used a principal component analysis (PCA) to identify superordinate components maximally explaining variability in cognitive performance, and whole-brain voxelwise analyses to unveil the neural correlates of AUD patients' cognitive impairment in terms of different white-matter microstructural features, i.e. fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD). PCA revealed a basic executive component, significantly impaired in AUD patients, associated with tasks tapping visuo-motor processing speed, attention and working-memory. Within a widespread pattern of white-matter damage in patients, we found diverse types of relationship linking WM microstructure and executive performance: (i) in the whole sample, we observed a linear relationship involving MD/RD metrics within both 'superficial' white-matter systems mediating connectivity within large-scale brain networks, and deeper systems modulating their reciprocal connections; (ii) in AUD patients vs. controls, a performance-by-group interaction highlighted a MD/AD pattern involving two frontal white-matter systems, including the genu of corpus callosum and cingulum bundle, mediating structural connectivity among central executive, salience and default mode networks. Alterations of prefrontal white-matter pathways are suggestive of abnormal structural connectivity in AUD, whereby a defective interplay among large-scale networks underpins patients' executive dysfunction. These findings highlight different directions for future basic and translational research aiming to tailor novel rehabilitation strategies and assess their functional outcomes.
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Affiliation(s)
- Chiara Crespi
- Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15 27100, Pavia, Italy; Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy.
| | - Caterina Galandra
- Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Nicola Canessa
- Scuola Universitaria Superiore IUSS Pavia, Piazza della Vittoria 15 27100, Pavia, Italy; Cognitive Neuroscience Laboratory, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Marina Manera
- Psychology Unit, IRCCS ICS Maugeri, 27100, Pavia, Italy
| | - Paolo Poggi
- Radiology Unit, IRCCS ICS Maugeri, 27100, Pavia, Italy
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Meyers JL, Chorlian DB, Johnson EC, Pandey AK, Kamarajan C, Salvatore JE, Aliev F, Subbie-Saenz de Viteri S, Zhang J, Chao M, Kapoor M, Hesselbrock V, Kramer J, Kuperman S, Nurnberger J, Tischfield J, Goate A, Foroud T, Dick DM, Edenberg HJ, Agrawal A, Porjesz B. Association of Polygenic Liability for Alcohol Dependence and EEG Connectivity in Adolescence and Young Adulthood. Brain Sci 2019; 9:E280. [PMID: 31627376 PMCID: PMC6826735 DOI: 10.3390/brainsci9100280] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 09/27/2019] [Accepted: 10/04/2019] [Indexed: 12/13/2022] Open
Abstract
Differences in the connectivity of large-scale functional brain networks among individuals with alcohol use disorders (AUD), as well as those at risk for AUD, point to dysfunctional neural communication and related cognitive impairments. In this study, we examined how polygenic risk scores (PRS), derived from a recent GWAS of DSM-IV Alcohol Dependence (AD) conducted by the Psychiatric Genomics Consortium, relate to longitudinal measures of interhemispheric and intrahemispheric EEG connectivity (alpha, theta, and beta frequencies) in adolescent and young adult offspring from the Collaborative Study on the Genetics of Alcoholism (COGA) assessed between ages 12 and 31. Our findings indicate that AD PRS (p-threshold < 0.001) was associated with increased fronto-central, tempo-parietal, centro-parietal, and parietal-occipital interhemispheric theta and alpha connectivity in males only from ages 18-31 (beta coefficients ranged from 0.02-0.06, p-values ranged from 10-6-10-12), but not in females. Individuals with higher AD PRS also demonstrated more performance deficits on neuropsychological tasks (Tower of London task, visual span test) as well as increased risk for lifetime DSM-5 alcohol and opioid use disorders. We conclude that measures of neural connectivity, together with neurocognitive performance and substance use behavior, can be used to further understanding of how genetic risk variants from large GWAS of AUD may influence brain function. In addition, these data indicate the importance of examining sex and developmental effects, which otherwise may be masked. Understanding of neural mechanisms linking genetic variants emerging from GWAS to risk for AUD throughout development may help to identify specific points when neurocognitive prevention and intervention efforts may be most effective.
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Affiliation(s)
- Jacquelyn L Meyers
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - David B Chorlian
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Emma C Johnson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Ashwini K Pandey
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Chella Kamarajan
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Jessica E Salvatore
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | | | - Jian Zhang
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
| | - Michael Chao
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Manav Kapoor
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Victor Hesselbrock
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030, USA.
| | - John Kramer
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - Samuel Kuperman
- Department of Psychiatry, Roy J and Lucille A Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA.
| | - John Nurnberger
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Jay Tischfield
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers University, Newark, NJ 08901, USA.
| | - Alison Goate
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Tatiana Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
| | - Danielle M Dick
- Department of Psychology, Virginia Commonwealth University, Richmond, VA 23284, USA.
| | - Howard J Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY 11203, USA.
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Role of Patient Sex in Early Recovery from Alcohol-Related Cognitive Impairment: Women Penalized. J Clin Med 2019; 8:jcm8060790. [PMID: 31167412 PMCID: PMC6617550 DOI: 10.3390/jcm8060790] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 05/13/2019] [Accepted: 05/31/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND The objective was to explore the role of patient sex in cognitive recovery and to identify predictive factors for non-recovery in alcohol use disorder (AUD). METHODS All patients with AUD admitted to a residential addictions treatment center were systematically assessed at admission and after 6 weeks of abstinence in a controlled environment. The inclusion criteria were that patients were admitted for AUD with baseline alcohol-related cognitive impairment (baseline total Montreal Cognitive Assessment (MoCA) score < 26) and reassessed at 6 weeks (n = 395). A logistic regression model was built to determine the influence of sex on recovery status (MoCA < or ≥ 26) taking into account the interaction effect of sex with alcohol consumption on cognitive function. RESULTS The mean age was 50.10 years (SD = 9.79), and 27.41% were women. At baseline, the mean MoCA scores were 21.36 (SD = 3.04). Participants who did not achieve recovery (59.3% of women vs 53.8% of men) had lower total MoCA scores at baseline. The 2 factors that was significantly and independently associated with non-recovery and with a non-zero coefficient was being a woman and initial MoCA score (respective adjusted odds ratios (AOR) = 1.5 and 0.96, p-values < 0.05). CONCLUSIONS These results could influence the time required in a controlled environment to maintain abstinence and the duration of in-care for women.
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Martins ICVDS, Souza GDS, Brasil A, Herculano AM, Lacerda EMDCB, Rodrigues AR, Rosa AAM, Ventura DF, Castro AJDO, Silveira LCDL. Psychophysical Evaluation of Visual Functions of Ex-Alcoholic Subjects After Prolonged Abstinence. Front Neurosci 2019; 13:179. [PMID: 30894798 PMCID: PMC6414438 DOI: 10.3389/fnins.2019.00179] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/14/2019] [Indexed: 12/31/2022] Open
Abstract
Chronic alcohol abuse can lead to a brain damages, and the health status of alcoholics even after a long-term alcohol abstinence is a public health concern. The present study investigated the color vision and spatial luminance contrast sensitivity of a group of 17 ex-alcoholics (46.3 ± 6.7 years old) in long-term alcohol abstinence after having been previously under alcohol dependence for many years. We also investigated the association of impaired psychophysical performance in different tests we applied. The mean time of alcohol consumption was 16.9 ± 5.1 years and the mean abstinence period was 12.4 ± 8.5 years. Achromatic vision of all subjects was evaluated using spatial luminance contrast sensitivity function (CSF) test and color vision was evaluated using Mollon–Reffin color discrimination test (MR) and the Farnsworth–Munsell 100 hue arrangement test (FM100). Relative to controls, the spatial luminance contrast sensitivity was lower in 10/17 of the ex-alcoholic subjects. In the color vision tests, 11/16 ex-alcoholic subjects had impaired results compared to controls in the FM100 test and 13/14 subjects had color vision deficits measured in the MR test. Fourteen subjects performed all visual tests, three subjects had impaired results for all tests, seven subjects had impaired results in two tests, three subjects had visual deficit in one test, and one had normal results for all tests. The results showed the existence of functional deficits in achromatic and chromatic vision of subjects with history of chronic alcoholism after long abstinence. Most subjects had altered result in more than one test, especially in the color vision tests. The present investigation suggests that the damage in visual functions produced by abusive alcohol consumption is not reversed after long term alcohol abstinence.
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Affiliation(s)
- Isabelle Christine Vieira da Silva Martins
- Instituto de Ciências da Saúde, Faculdade de Nutrição, Universidade Federal do Pará, Belém, Brazil.,Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | - Givago da Silva Souza
- Instituto de Ciências da Saúde, Faculdade de Nutrição, Universidade Federal do Pará, Belém, Brazil.,Núcleo de Medicina Tropical, Universidade Federal do Pará, Belém, Brazil
| | - Alódia Brasil
- Instituto de Ciências da Saúde, Faculdade de Nutrição, Universidade Federal do Pará, Belém, Brazil.,Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | | | | | | | | | - Dora Fix Ventura
- Instituto de Psicologia, Universidade de São Paulo, São Paulo, Brazil
| | | | - Luiz Carlos de Lima Silveira
- Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.,Núcleo de Medicina Tropical, Universidade Federal do Pará, Belém, Brazil.,Biomedical School, Universidade Ceuma, São Luís, Brazil
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