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Weng Y, Kruschwitz J, Rueda-Delgado LM, Ruddy KL, Boyle R, Franzen L, Serin E, Nweze T, Hanson J, Smyth A, Farnan T, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland PA, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, McGrath J, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Holz N, Fröhner J, Smolka MN, Vaidya N, Schumann G, Walter H, Whelan R. A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use. eLife 2024; 13:RP97150. [PMID: 39235858 PMCID: PMC11377036 DOI: 10.7554/elife.97150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2024] Open
Abstract
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance use or a marker of the inclination to engage in such behavior. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1000 participants. Behaviors and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use.
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Affiliation(s)
- Yihe Weng
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Johann Kruschwitz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Collaborative Research Centre (SFB 940) 'Volition and Cognitive Control', Technische Universität Dresden, Dresden, Germany
| | - Laura M Rueda-Delgado
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Kathy L Ruddy
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- School of Psychology, Queens University Belfast, Belfast, United Kingdom
| | - Rory Boyle
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Luisa Franzen
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Emin Serin
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Tochukwu Nweze
- Department of Psychology, University of Utah, Salt Lake City, United States
| | - Jamie Hanson
- Department of Psychology, Learning Research & Development Center, University of Pittsburgh, Pittsburgh, United States
| | - Alannah Smyth
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Tom Farnan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology, & Neuroscience, SGDP Centre, King's College London, London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, United States
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- AP-HP Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 'Trajectoires développementales & psychiatrie', University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Jane McGrath
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomas Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hosptalier Universitaire Sainte-Justine, University of Montreal, Montreal, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Juliane Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
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2
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Weng Y, Kruschwitz J, Rueda-Delgado LM, Ruddy K, Boyle R, Franzen L, Serin E, Nweze T, Hanson J, Smyth A, Farnan T, Banaschewski T, Bokde ALW, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, McGrath J, Nees F, Orfanos DP, Paus T, Poustka L, Holz N, Fröhner JH, Smolka MN, Vaidya N, Schumann G, Walter H, Whelan R. A robust brain network for sustained attention from adolescence to adulthood that predicts later substance use. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.03.587900. [PMID: 38617224 PMCID: PMC11014614 DOI: 10.1101/2024.04.03.587900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Substance use, including cigarettes and cannabis, is associated with poorer sustained attention in late adolescence and early adulthood. Previous studies were predominantly cross-sectional or under-powered and could not indicate if impairment in sustained attention was a predictor of substance-use or a marker of the inclination to engage in such behaviour. This study explored the relationship between sustained attention and substance use across a longitudinal span from ages 14 to 23 in over 1,000 participants. Behaviours and brain connectivity associated with diminished sustained attention at age 14 predicted subsequent increases in cannabis and cigarette smoking, establishing sustained attention as a robust biomarker for vulnerability to substance use. Individual differences in network strength relevant to sustained attention were preserved across developmental stages and sustained attention networks generalized to participants in an external dataset. In summary, brain networks of sustained attention are robust, consistent, and able to predict aspects of later substance use.
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Affiliation(s)
- Yihe Weng
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Johann Kruschwitz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Collaborative Research Centre (SFB 940) "Volition and Cognitive Control", Technische Universität Dresden, 01069, Dresden, Germany
| | - Laura M Rueda-Delgado
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Kathy Ruddy
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
- School of Psychology, Queens University Belfast, Belfast, Northern Ireland, UK
| | - Rory Boyle
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Luisa Franzen
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Emin Serin
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Charité -Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, 10117, Berlin, Germany
- Bernstein Center for Computational Neuroscience, 10115, Berlin, Germany
| | | | - Jamie Hanson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Learning Research & Development Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Alannah Smyth
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Tom Farnan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and AP-HP. Sorbonne University, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U 1299 "Trajectoires développementales & psychiatrie", University Paris-Saclay, CNRS; Ecole Normale Supérieure Paris-Saclay, Centre Borelli; Gif-sur-Yvette; and Psychiatry Department, EPS Barthélémy Durand, Etampes, France
| | - Jane McGrath
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | | | - Tomáš Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hosptalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
| | - Nilakshi Vaidya
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Neuroscience, Charité Universitätsmedizin Berlin, Germany
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
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Hernandez Mejia M, Courtney KE, Wade NE, Wallace A, Baca RE, Shen Q, Happer JP, Jacobus J. The Combined Effects of Nicotine and Cannabis on Cortical Thickness Estimates in Adolescents and Emerging Adults. Brain Sci 2024; 14:195. [PMID: 38539584 PMCID: PMC10967898 DOI: 10.3390/brainsci14030195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 02/10/2024] [Accepted: 02/15/2024] [Indexed: 08/03/2024] Open
Abstract
Early life substance use, including cannabis and nicotine, may result in deleterious effects on the maturation of brain tissue and gray matter cortical development. The current study employed linear regression models to investigate the main and interactive effects of past-year nicotine and cannabis use on gray matter cortical thickness estimates in 11 bilateral independent frontal cortical regions in 223 16-22-year-olds. As the frontal cortex develops throughout late adolescence and young adulthood, this period becomes crucial for studying the impact of substance use on brain structure. The distinct effects of nicotine and cannabis use status on cortical thickness were found bilaterally, as cannabis and nicotine users both had thinner cortices than non-users. Interactions between nicotine and cannabis were also observed, in which cannabis use was associated with thicker cortices for those with a history of nicotine and tobacco product (NTP) use in three left frontal regions. This study sheds light on the intricate relationship between substance use and brain structure, suggesting a potential modulation of cannabis' impact on cortical thickness by nicotine exposure, and emphasizing the need for further longitudinal research to characterize these interactions and their implications for brain health and development.
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Affiliation(s)
- Margie Hernandez Mejia
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA 92182, USA
| | - Kelly E. Courtney
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | - Natasha E. Wade
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | - Alexander Wallace
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | - Rachel E. Baca
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | - Qian Shen
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
| | | | - Joanna Jacobus
- Department of Psychiatry, University of California, San Diego, CA 92093, USA
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Daniju Y, Faulkner P, Brandt K, Allen P. Prefrontal cortex and putamen grey matter alterations in cannabis and tobacco users. J Psychopharmacol 2022; 36:1315-1323. [PMID: 36112825 PMCID: PMC9716493 DOI: 10.1177/02698811221117523] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Previous magnetic resonance imaging studies in regular cannabis users report altered grey matter volume (GMV) in brain regions, including the prefrontal cortex (PFC), putamen and hippocampus. However, most studies have tended to recruit recreational users with high levels of cannabis use, and have not controlled for the possible confounding effects of tobacco use. We attempt to address these limitations in the present study. METHODS We acquired volumetric images in sex, age and IQ-matched groups of (1) regular Cannabis users who also smoke Tobacco cigarettes ('CT'; n = 33), (2) non-cannabis-using Tobacco cigarette smokers ('T'; n = 19) and (3) non-cannabis/tobacco-using Controls ('C'; n = 35). GMV in bilateral PFC, putamen and hippocampal regions was compared across groups. We also examined the associations between GMV differences and levels of cannabis and tobacco use, measures of intellectual function, and of depression, anxiety and stress. RESULTS Relative to controls, both CT and T groups showed lower GMV in the left inferior frontal gyrus, and greater GMV in the putamen. In addition, lower GMV in the right frontal pole in the CT group (but not the T group) was associated with lifetime cannabis use, but not with cigarette use. CONCLUSIONS Regular cannabis users who also smoked tobacco cigarettes showed altered GMV patterns relative to controls. However, a similar pattern of GMV differences was also seen between regular tobacco users that did not use cannabis. Further research is needed to disentangle the effects of cannabis and tobacco use on brain structure.
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Affiliation(s)
- Yusuf Daniju
- School of Psychology, Whitelands College, University of Roehampton, London, UK
| | - Paul Faulkner
- School of Psychology, Whitelands College, University of Roehampton, London, UK,Combined Universities Brain Imaging Centre, Royal Holloway University of London, UK
| | - Kaz Brandt
- School of Psychology, Whitelands College, University of Roehampton, London, UK
| | - Paul Allen
- School of Psychology, Whitelands College, University of Roehampton, London, UK,Combined Universities Brain Imaging Centre, Royal Holloway University of London, UK,Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK,Paul Allen, School of Psychology, University of Roehampton, Whitelands College, Holybourne Avenue, London SW15 4JD, UK.
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Sepe-Forrest L, Kim DJ, Quinn PD, Bolbecker AR, Wisner KM, Hetrick WP, O'Donnell BF. Evidence of familial confounding of the association between cannabis use and cerebellar-cortical functional connectivity using a twin study. Neuroimage Clin 2022; 36:103237. [PMID: 36451348 PMCID: PMC9668648 DOI: 10.1016/j.nicl.2022.103237] [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: 03/25/2022] [Revised: 09/26/2022] [Accepted: 10/16/2022] [Indexed: 11/11/2022]
Abstract
Cerebellar-cortical resting-state functional connectivity (rsFC) has been reported to be altered in cannabis users. However, this association may be due to genetic and environmental confounding rather than a causal relationship between cannabis use and changes in rsFC. In this co-twin control study, linear mixed models were used to assess relationships between the number of lifetime cannabis uses (NLCU) and age of cannabis onset (ACO) with cerebellar-cortical rsFC. The rsFC with seven functional networks was evaluated in 147 monozygotic and 82 dizygotic twin pairs. Importantly, the use of genetically informed models in this twin sample facilitated examining whether shared genetic or environmental effects underlie crude associations between cannabis measures and connectivity. Individual-level phenotypic analyses (i.e., accounting for twin-pair non-independence) showed that individuals in the full sample with earlier ACO and higher NLCU had lower cerebellar rsFC within the VA, DA, and FP networks. Yet, there were no significant differences in cerebellar-cortical rsFC between monozygotic twins who were discordant for cannabis measures. These findings suggest shared genetic or environmental confounds contribute to associations between cannabis use and altered cerebellar-cortical rsFC, rather than unique causal impacts of cannabis use on cerebellar-cortical rsFC.
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Affiliation(s)
- Linnea Sepe-Forrest
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Corresponding author-at: Indiana University Bloomington, Department of Psychology, Room A208A, United States.
| | - Dae-Jin Kim
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Patrick D. Quinn
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, United States
| | - Amanda R. Bolbecker
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Krista M. Wisner
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States
| | - William P. Hetrick
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Psychiatry, Indiana University, Indianapolis, IN, United States
| | - Brian F. O'Donnell
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, United States,Program in Neuroscience, Indiana University, Bloomington, IN, United States,Department of Psychiatry, Indiana University, Indianapolis, IN, United States
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6
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Yip SW, Lichenstein SD, Garrison K, Averill CL, Viswanath H, Salas R, Abdallah CG. Effects of Smoking Status and State on Intrinsic Connectivity. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:895-904. [PMID: 33618016 PMCID: PMC8373998 DOI: 10.1016/j.bpsc.2021.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 01/18/2021] [Accepted: 02/02/2021] [Indexed: 01/21/2023]
Abstract
BACKGROUND Smoking behavior during the first 24 hours of a quit attempt is a significant predictor of longer-term abstinence, yet little is known about the neurobiology of early tobacco abstinence. Specifically, the effects of acute tobacco deprivation and reinstatement on brain function-particularly at the level of large-scale network dynamics and assessed across the entire brain-remain incompletely understood. To address this gap, this study used a mixed within- and between-subjects design to assess the effects of smoking status (yes/no smoker) and state (deprived vs. satiated) on whole-brain patterns of intrinsic connectivity. METHODS Participants included 42 tobacco smokers who underwent resting-state functional magnetic resonance imaging following overnight abstinence (deprived state) and following smoking reinstatement (satiated state, randomized order across participants). Sixty healthy control nonsmokers underwent a single resting-state scan using the same acquisition parameters. Functional connectivity data were analyzed using both a canonical network-of-interest approach and a whole-brain, data-driven approach, i.e., intrinsic connectivity distribution. RESULTS Network-of-interest-based analyses indicated decreased functional connectivity within frontoparietal and salience networks among smokers relative to nonsmokers as well as effects of smoking state on default mode connectivity. In addition, intrinsic connectivity distribution analyses identified novel between-group differences in subcortical-cerebellar and corticocerebellar networks that were largely smoking state dependent. CONCLUSIONS These data demonstrate the importance of considering smoking state and the utility of using both theory- and data-driven analysis approaches. These data provide much-needed insight into the functional neurobiology of early abstinence, which may be used in the development of novel treatments.
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Affiliation(s)
- Sarah W Yip
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| | - Sarah D Lichenstein
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Kathleen Garrison
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Christopher L Averill
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Clinical Neurosciences Division, Veterans Administration National Center for PTSD, West Haven, Connecticut; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Humsini Viswanath
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Chadi G Abdallah
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Clinical Neurosciences Division, Veterans Administration National Center for PTSD, West Haven, Connecticut; Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas; Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
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Brain Magnetic Resonance Imaging Features of Nicotine-Dependent Individuals and Its Correlation with Polymorphisms of Dopamine D Receptor Gene. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:2296776. [PMID: 36082055 PMCID: PMC9433208 DOI: 10.1155/2022/2296776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 07/12/2022] [Accepted: 07/15/2022] [Indexed: 11/17/2022]
Abstract
The aim of this research was developed to provide a scientific basis for individualized prevention, clinical diagnosis, and corrective treatment of nicotine addiction. The objects were 214 cases in the smoke group and 43 cases in the control group. According to the Fagerstrom Nicotine Dependence Test (FTND), the smokers were divided into mild nicotine dependence group (FTND < 6 points, 138 cases) and nicotine severe dependence group (≥6 points, 76 cases). The brain structure in long-term smokers was evaluated by using magnetic resonance imaging (MRI). The nicotine dependence was further analyzed by grouping the included individuals, and some candidate genes related to nicotine addiction were screened by combining with bioinformatics analysis. The family research strategy was adopted to detect nicotine addiction susceptibility genes and their polymorphisms. The MRI imaging results showed that the bilateral thalamus, right parietal, and left lens gram-molecule volume (GMV) were negatively correlated with smoking index and smoking years in the smoking group. The GMV of the posterior cingulate cortex in the severe nicotine dependence group was lower than that of the control group, and the GMVs of bilateral thalamus and bilateral superior limbic gyrus in the mild nicotine dependence group were lower than those of the control group. The gene polymorphism detection showed that rs6275 was highly polymorphic in the target population and the frequency of rs6275-C allele was 53.26%. Therefore, the MRI imaging characteristics suggested that the affected brain regions of smokers and people with varying degrees of nicotine dependence were mainly concentrated in response-related pathways and the limbic system and had cumulative effects on the central nervous system. In addition, the M6275 polymorphism of DRD2 gene was associated with susceptibility to nicotine addiction in Chinese population, and the M6275-C allele had a protective effect on susceptibility to nicotine addiction and smoking initiation.
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Liang HJ, Ernst T, Cunningham E, Chang L. Contributions of chronic tobacco smoking to HIV-associated brain atrophy and cognitive deficits. AIDS 2022; 36:513-524. [PMID: 34860196 PMCID: PMC8881356 DOI: 10.1097/qad.0000000000003138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Tobacco smoking is linked to cognitive deficits and greater white matter (WM) abnormalities in people with HIV disease (PWH). Whether tobacco smoking additionally contributes to brain atrophy in PWH is unknown and was evaluated in this study. DESIGN We used a 2 × 2 design that included 83 PWH (43 nonsmokers, 40 smokers) and 171 HIV-seronegative (SN, 106 nonsmokers, 65 smokers) participants and assessed their brain structure and cognitive function. METHODS Selected subcortical volumes, voxel-wise cortical volumes and thickness, and total WM volume were analyzed using FreeSurfer. Independent and interactive effects of HIV and smoking were evaluated with two-way analysis of covariance on cognitive domain Z-scores and morphometric measures on T1-weighted MRI. RESULTS Regardless of smoking status, relative to SN, PWH had smaller brain volumes [basal ganglia, thalami, hippocampi, subcortical gray matter (GM) and cerebral WM volumes (P = 0.002-0.042)], steeper age-related declines in the right superior-parietal (interaction: P < 0.001) volumes, and poorer attention/working memory and learning (P = 0.016-0.027). Regardless of HIV serostatus, smokers tended to have smaller hippocampi than nonsmokers (-0.6%, P = 0.055). PWH smokers had the smallest total and regional subcortical GM and cortical WM volume and poorest cognitive performance. CONCLUSIONS Tobacco smoking additionally contributed to brain atrophy and cognitive deficits in PWH. The greater brain atrophy in PWH smokers may be due to greater neuronal damage or myelin loss in various brain regions, leading to their poor cognitive performance. Therefore, tobacco smoking may exacerbate or increase the risk for HIV-associated neurocognitive disorders.
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Affiliation(s)
- Hua-Jun Liang
- Department of Diagnostic Radiology and Nuclear Medicine,
University of Maryland School of Medicine, Baltimore, 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 University School of
Medicine, Baltimore, MD, USA
| | - Eric Cunningham
- Department of Diagnostic Radiology and Nuclear Medicine,
University of Maryland 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 University School of
Medicine, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of
Medicine, Baltimore, MD, USA
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9
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Zhang M, Gao X, Yang Z, Wen M, Huang H, Zheng R, Wang W, Wei Y, Cheng J, Han S, Zhang Y. Shared gray matter alterations in subtypes of addiction: a voxel-wise meta-analysis. Psychopharmacology (Berl) 2021; 238:2365-2379. [PMID: 34313804 DOI: 10.1007/s00213-021-05920-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 07/05/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Numerous studies based on voxel-based morphometry (VBM) have revealed gray matter (GM) alterations in multiple brain regions for addiction. However, findings are poorly replicated, and it remains elusive whether distinct diagnoses of addiction are underpinned by shared abnormalities. Our aim was to conduct a quantitative meta-analysis of structural neuroimaging studies investigating GM abnormalities in two main categories of addiction: substance use disorders (SUD) and behavioral addictions (BA). METHOD A systematic database search was conducted in several databases from Jan 1, 2010, to Oct 23, 2020, to identify eligible VBM studies. Meta-analysis was performed with the seed-based d mapping software package to compare alternations between individuals with addiction-related disorders and healthy controls (HC). RESULTS A total of 59 VBM studies including 2096 individuals with addiction-related disorders and 2637 HC met the inclusion criteria. Individuals with addiction-related disorders showed shared GM volume decrease in bilateral prefrontal cortex, bilateral insula, bilateral rolandic operculum, left superior temporal gyrus, and right Heschl gyrus and GM increase in right lingual gyrus and right fusiform gyrus comparing with HC (p < 0.005). Subgroup analysis found heterogeneity between SUD and BA mainly in left inferior occipital gyrus and right striatum (p < 0.005). Meta-regression revealed that GM atrophy in right anterior cingulate (r = 0.541, p = 0.03 (uncorrected)) and left inferior frontal gyrus (r = 0.595, p = 0.015) were positively correlated with higher impulsivity. CONCLUSIONS This meta-analysis identified a concordance across subtypes of addiction in terms of the brain structural changes in prefrontal and insula areas, which may relate to higher impulsivity observed across addiction diagnoses. This concordance provides an organizing model that emphasizes the importance of shared neural substrates in addiction.
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Affiliation(s)
- Mengzhe Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinyu Gao
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengui Yang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengmeng Wen
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huiyu Huang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weijian Wang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Shaoqiang Han
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Yong Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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10
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Grodin EN, Burnette E, Towns B, Venegas A, Ray LA. Effect of alcohol, tobacco, and cannabis co-use on gray matter volume in heavy drinkers. PSYCHOLOGY OF ADDICTIVE BEHAVIORS 2021; 35:760-768. [PMID: 34435833 PMCID: PMC8484037 DOI: 10.1037/adb0000743] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Alcohol, tobacco, and cannabis are the three most frequently used drugs in the United States and co-use is common. Alcohol, tobacco, and cannabis use has been separately associated with altered brain structure, and alcohol and tobacco co-use results in decreases in gray matter volume. Less is known about the effect of alcohol and cannabis co-use, and alcohol, tobacco, and cannabis tri-use. Therefore, this study examined the effect of co- and tri-use on gray matter volume, a measure of brain cell density, in heavy drinkers. METHOD Heavy drinkers (n = 237; 152m/85f; age = 32.52; white = 111; black = 28; Latino = 9; American Indian = 2; Pacific Islander = 4; Asian = 59; mixed = 15; other = 9) were classified into four groups based on their alcohol, tobacco, and cannabis use: alcohol only users (n = 70), alcohol and tobacco co-users (n = 90), alcohol and cannabis co-users (n = 35), and alcohol, tobacco, and cannabis tri-users (n = 42). All participants completed a structural MRI scan. Voxel-based morphometry was conducted to evaluate the effect of co-use on gray matter volume, with alcohol only users as the reference group. Age, sex, and scanner were included as covariates. RESULTS Alcohol and tobacco co-users had significantly decreased left orbitofrontal gray matter volume relative to alcohol only users (Cohen's d = .79). There were no differences in gray matter volume between the alcohol only and alcohol and cannabis co-users, or between the alcohol only and tri-user groups. CONCLUSION The additive effect of tobacco co-use on gray matter volumes in heavy drinkers was limited and localized. The effect of tri-use of alcohol, tobacco, and cannabis may have interacted, such that overlapping cannabis and tobacco use masked volume differences present in separate co-using groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Affiliation(s)
- Erica N. Grodin
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - Elizabeth Burnette
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
- Neuroscience Interdepartmental Program, University of California at Los Angeles, Los Angeles, CA
| | - Brandon Towns
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - Alexandra Venegas
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
| | - Lara A. Ray
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA
- Department of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, Los Angeles, CA
- Brain Research Institute, University of California at Los Angeles, Los Angeles, CA
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11
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Tobacco and Nervous System Development and Function-New Findings 2015-2020. Brain Sci 2021; 11:brainsci11060797. [PMID: 34208753 PMCID: PMC8234722 DOI: 10.3390/brainsci11060797] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/07/2021] [Accepted: 06/12/2021] [Indexed: 12/13/2022] Open
Abstract
Tobacco is a one of the most common addictive stimulants used by people around the world. The smoke generated during tobacco combustion is a toxic mixture of more than 5000 chemicals of which over 30 are known human carcinogens. While its negative effects on the human body are well understood, it remains a serious public health problem. One of the multiple effects of smoking is tobacco’s effect on the nervous system—its development and function. This review aims to summarize the progress made in research on the effects of tobacco on the nervous system both of the perinatal period and adults and both in animals and humans in 2015–2020. The 1245 results that corresponded to the keywords “tobacco, cigarette, nervous system, brain, morphology, function” were reviewed, of which 200 abstracts were considered significant. Most of those articles broadened the knowledge about the negative effects of smoking on the human nervous system. Tobacco has a significant negative impact on the development of nervous structures, neurotransmission and cognitive functions, and promotes the development of neurodegenerative diseases, insomnia and cerebrovascular diseases. The only exception is the protective effect of the dopaminergic system in Parkinson’s disease. In conclusion, in recent years much effort has been devoted to describing, revealing and uncovering new aspects of tobacco detrimental to human life. The nicotine contained in tobacco smoke affects the human body in a multidimensional way, including a serious impact on the broadly understood neurological health.
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12
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Klugah-Brown B, Jiang C, Agoalikum E, Zhou X, Zou L, Yu Q, Becker B, Biswal B. Common abnormality of gray matter integrity in substance use disorder and obsessive-compulsive disorder: A comparative voxel-based meta-analysis. Hum Brain Mapp 2021; 42:3871-3886. [PMID: 34105832 PMCID: PMC8288096 DOI: 10.1002/hbm.25471] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 04/21/2021] [Accepted: 04/27/2021] [Indexed: 12/28/2022] Open
Abstract
The objective of the current study is to determine robust transdiagnostic brain structural markers for compulsivity by capitalizing on the increasing number of case‐control studies examining gray matter volume (GMV) alterations in substance use disorders (SUD) and obsessive‐compulsive disorder (OCD). Voxel‐based meta‐analysis within the individual disorders and conjunction analysis were employed to reveal common GMV alterations between SUDs and OCD. Meta‐analytic coordinates and signed brain volumetric maps determining directed (reduced/increased) GMV alterations between the disorder groups and controls served as the primary outcome. The separate meta‐analysis demonstrated that SUD and OCD patients exhibited widespread GMV reductions in frontocortical regions including prefrontal, cingulate, and insular. Conjunction analysis revealed that the left inferior frontal gyrus (IFG) consistently exhibited decreased GMV across all disorders. Functional characterization suggests that the IFG represents a core hub in the cognitive control network and exhibits bidirectional (Granger) causal interactions with the striatum. Only OCD showed increased GMV in the dorsal striatum with higher changes being associated with more severe OCD symptomatology. Together the findings demonstrate robustly decreased GMV across the disorders in the left IFG, suggesting a transdiagnostic brain structural marker. The functional characterization as a key hub in the cognitive control network and casual interactions with the striatum suggest that deficits in inhibitory control mechanisms may promote compulsivity and loss of control that characterize both disorders.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Chenyang Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Elijah Agoalikum
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xinqi Zhou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Liye Zou
- Exercise & Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Qian Yu
- Exercise & Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Bharat Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
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13
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Rossetti MG, Mackey S, Patalay P, Allen NB, Batalla A, Bellani M, Chye Y, Conrod P, Cousijn J, Garavan H, Goudriaan AE, Hester R, Martin-Santos R, Solowij N, Suo C, Thompson PM, Yücel M, Brambilla P, Lorenzetti V. Sex and dependence related neuroanatomical differences in regular cannabis users: findings from the ENIGMA Addiction Working Group. Transl Psychiatry 2021; 11:272. [PMID: 33958576 PMCID: PMC8102553 DOI: 10.1038/s41398-021-01382-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/25/2021] [Accepted: 04/09/2021] [Indexed: 12/25/2022] Open
Abstract
Males and females show different patterns of cannabis use and related psychosocial outcomes. However, the neuroanatomical substrates underlying such differences are poorly understood. The aim of this study was to map sex differences in the neurobiology (as indexed by brain volumes) of dependent and recreational cannabis use. We compared the volume of a priori regions of interest (i.e., amygdala, hippocampus, nucleus accumbens, insula, orbitofrontal cortex (OFC), anterior cingulate cortex and cerebellum) between 129 regular cannabis users (of whom 70 were recreational users and 59 cannabis dependent) and 114 controls recruited from the ENIGMA Addiction Working Group, accounting for intracranial volume, age, IQ, and alcohol and tobacco use. Dependent cannabis users, particularly females, had (marginally significant) smaller volumes of the lateral OFC and cerebellar white matter than recreational users and controls. In dependent (but not recreational) cannabis users, there was a significant association between female sex and smaller volumes of the cerebellar white matter and OFC. Volume of the OFC was also predicted by monthly standard drinks. No significant effects emerged the other brain regions of interest. Our findings warrant future multimodal studies that examine if sex and cannabis dependence are specific key drivers of neurobiological alterations in cannabis users. This, in turn, could help to identify neural pathways specifically involved in vulnerable cannabis users (e.g., females with cannabis dependence) and inform individually tailored neurobiological targets for treatment.
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Affiliation(s)
- Maria Gloria Rossetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Scott Mackey
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Praveetha Patalay
- Centre for Longitudinal Studies and MRC Unit for Lifelong Health and Ageing, IOE and Population Health Sciences, UCL, London, UK
| | | | - Albert Batalla
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Yann Chye
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences & Monash Biomedical Imaging Facility, Monash University, Melbourne, VIC, Australia
| | - Patricia Conrod
- Department of Psychiatry, Université de Montreal, CHU Ste Justine Hospital, Montreal, QC, Canada
| | - Janna Cousijn
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Hugh Garavan
- Department of Psychiatry, University of Vermont, Burlington, VT, USA
| | - Anna E Goudriaan
- Department of Psychiatry, Amsterdam Institute for Addiction Research, University of Amsterdam, Amsterdam, Netherlands
| | - Robert Hester
- School of Psychological Sciences, University of Melbourne, Melbourne, VIC, Australia
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM and Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Nadia Solowij
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| | - Chao Suo
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences & Monash Biomedical Imaging Facility, Monash University, Melbourne, VIC, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences & Monash Biomedical Imaging Facility, Monash University, Melbourne, VIC, Australia
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Valentina Lorenzetti
- Neuroscience of Addiction & Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural & Health Sciences, Faculty of Health Sciences, Australian Catholic University, Melbourne, VIC, Australia.
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14
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Wang Y, Zuo C, Xu Q, Hao L. Cerebellar thickness changes associated with heavy cannabis use: A 3-year longitudinal study. Addict Biol 2021; 26:e12931. [PMID: 32575152 DOI: 10.1111/adb.12931] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/24/2020] [Accepted: 06/09/2020] [Indexed: 01/19/2023]
Abstract
Cannabis is the most frequently used illicit drug in the world. Cross-sectional neuroimaging studies have revealed that chronic cannabis exposure and the development of cannabis use disorders may affect cerebllar morphology. However, cross-sectional studies cannot make a conclusive distinction between causes and consequences, and there is a lack of longitudinal neuroimaging studies. In the current study, we used longitudinal neuroimaging data to explore whether persistent cannabis use and higher levels of cannabis exposure in young adults are related to cerebellar thickness alterations. Twenty heavy cannabis users (CBs) and 22 non-cannabis-using controls (HCs) completed a comprehensive psychological assessment and a T1-structural MRI scan at baseline and a 3-year follow-up. Except for lobuleVIIB, all cerebellar subregions showed significant effects of age in both the CB and HC groups. Both VI and CrusI had higher rates of increase in CBs than in HCs. In addition, we examined the relationship between changes in cerebellar thickness and cannabis use characteristics. We found that alterations in lobule VI and CrusI were related to the age at onset first cannabis use but not the age at onset frequent cannabis use. The changes in lobule VI and CrusI were associated with the CUDIT score, even when controlling for the AUDIT score. The results indicated that an increased rate of cerebellar thickness is a risk factor for heavy cannabis use in early adulthood. Cannabis use affects the cerebellar structure, and monitoring cerebellar structural alterations that could be used as biomarkers may help guide the development of clinical tools.
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Affiliation(s)
- Yanpei Wang
- Jiangsu Provincial Key Laboratory of Special Children's Impairment and Intervention Nanjing Normal University of Special Education Nanjing China
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Chenyi Zuo
- College of Educational Science Anhui Normal University Wuhu China
| | - Qinfang Xu
- Jiangsu Provincial Key Laboratory of Special Children's Impairment and Intervention Nanjing Normal University of Special Education Nanjing China
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
| | - Lei Hao
- State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing China
- IDG/McGovern Institute for Brain Research Beijing Normal University Beijing China
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15
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Laviolette SR. Exploring the impact of adolescent exposure to cannabinoids and nicotine on psychiatric risk: insights from translational animal models. Psychol Med 2021; 51:940-947. [PMID: 31801641 DOI: 10.1017/s0033291719003325] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Adolescence represents a highly sensitive period of mammalian neurodevelopment wherein critical synaptic and structural changes are taking place in brain regions involved in cognition, self-regulation and emotional processing. Importantly, neural circuits such as the mesocorticolimbic pathway, comprising the prefrontal cortex, sub-cortical mesolimbic dopamine system and their associated input/output centres, are particularly vulnerable to drug-related insults. Human adolescence represents a life-period wherein many individuals first begin to experiment with recreational drugs such as nicotine and cannabis, both of which are known to profoundly modulate neurochemical signalling within the mesocorticolimbic pathway and to influence both long-term and acute neuropsychiatric symptoms. While a vast body of epidemiological clinical research has highlighted the effects of adolescent exposure to drugs such as nicotine and cannabis on the developing adolescent brain, many of these studies are limited to correlative analyses and rely on retrospective self-reports from subjects, making causal interpretations difficult to discern. The use of pre-clinical animal studies can avoid these issues by allowing for precise temporal and dose-related experimental control over drug exposure during adolescence. In addition, such animal-based research has the added advantage of allowing for in-depth molecular, pharmacological, genetic and neuronal analyses of how recreational drug exposure may set up the brain for neuropsychiatric risk. This review will explore some of the advantages and disadvantages of these models, with a focus on the common, divergent and synergistic effects of adolescent nicotine and cannabis exposure on neuropsychiatric risk.
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Affiliation(s)
- Steven R Laviolette
- Addiction Research Group, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
- Department of Anatomy & Cell Biology, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
- Department of Psychiatry, Schulich School of Medicine & Dentistry, University of Western Ontario, London, Ontario, CanadaN6A3K7
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16
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Hammond CJ, Wu J, Krishnan-Sarin S, Mayes LC, Potenza MN, Crowley MJ. Co-occurring tobacco and cannabis use in adolescents: Dissociable relationships with mediofrontal electrocortical activity during reward feedback processing. Neuroimage Clin 2021; 30:102592. [PMID: 33667977 PMCID: PMC7932890 DOI: 10.1016/j.nicl.2021.102592] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 12/11/2020] [Accepted: 02/05/2021] [Indexed: 12/01/2022]
Abstract
Differences in corticostriatal neural activity during feedback processing of rewards and losses have been separately related to cannabis and tobacco use but remain understudied relative to co-use in adolescents. Using high-density EEG (128 electrode system, 1000 Hz sampling), we examined event-related potentials (ERPs) elicited by monetary reward, neutral, and loss feedback during performance on a non-learning four-choice guessing task in a sample of non-deprived daily-cigarette-smoking adolescents (n = 36) who used tobacco and cannabis regularly (TC adolescents), and non-smoking healthy control adolescents (HCs) (n = 29). Peak amplitudes and latencies of mediofrontal ERPs indexing feedback-related negativities (FRNs) were used as outcomes in repeated-measures ANOVAs. No differences in FRNs were observed between TC and HC adolescents. Within TC adolescents, cannabis-use and tobacco-use variables had distinct relationships with the FRN, with cannabis-related problem severity being positively correlated with FRN amplitude during reward feedback and tobacco-related problem severity being negatively correlated with FRN latency during non-loss feedback (i.e., reward and neutral). These findings suggest that co-occurring cannabis and tobacco use may have dissociable relationships with feedback processing relating to each drug and support an incentive salience model of addiction severity related to cannabis use in adolescents.
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Affiliation(s)
- Christopher J Hammond
- Division of Child & Adolescent Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Behavioral Pharmacology Research Unit, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States; Child Study Center, Yale University School of Medicine, New Haven, CT, United States.
| | - Jia Wu
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
| | | | - Linda C Mayes
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States
| | - Marc N Potenza
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; Department of Neuroscience, Yale University, New Haven, CT, United States; Connecticut Council on Problem Gambling, Wethersfield, CT, United States; Connecticut Mental Health Center, New Haven, CT, United States
| | - Michael J Crowley
- Child Study Center, Yale University School of Medicine, New Haven, CT, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
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Pando-Naude V, Toxto S, Fernandez-Lozano S, Parsons CE, Alcauter S, Garza-Villarreal EA. Gray and white matter morphology in substance use disorders: a neuroimaging systematic review and meta-analysis. Transl Psychiatry 2021; 11:29. [PMID: 33431833 PMCID: PMC7801701 DOI: 10.1038/s41398-020-01128-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/10/2020] [Accepted: 11/20/2020] [Indexed: 12/16/2022] Open
Abstract
Substance use disorders (SUDs) are characterized by a compulsion to seek and consume one or more substances of abuse, with a perceived loss of control and a negative emotional state. Prolonged substance use seems to be associated with morphological changes of multiple neural circuits, in particular the frontal-striatal and limbic pathways. Such neuroadaptations are evident across several substance disorders, but may vary depending on the type of substance, consumption severity and/or other unknown factors. We therefore identified studies investigating the effects of SUDs using volumetric whole-brain voxel-based morphometry (VBM) in gray (GM) and white matter (WM). We performed a systematic review and meta-analysis of VBM studies using the anatomic likelihood estimation (ALE) method implemented in GingerALE (PROSPERO pre-registration CRD42017071222 ). Sixty studies met inclusion criteria and were included in the final quantitative meta-analysis, with a total of 614 foci, 94 experiments and 4938 participants. We found convergence and divergence in brain regions and volume effects (higher vs. lower volume) in GM and WM depending on the severity of the consumption pattern and type of substance used. Convergent pathology was evident across substances in GM of the insula, anterior cingulate cortex, putamen, and thalamus, and in WM of the thalamic radiation and internal capsule bundle. Divergent pathology between occasional use (cortical pathology) and addiction (cortical-subcortical pathology) provides evidence of a possible top-down neuroadaptation. Our findings indicate particular brain morphometry alterations in SUDs, which may inform our understanding of disease progression and ultimately therapeutic approaches.
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Affiliation(s)
- Victor Pando-Naude
- Department of Clinical Medicine, Center for Music in the Brain, University of Aarhus, Aarhus, Denmark
| | - Sebastian Toxto
- Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM) campus Juriquilla, Queretaro, Mexico
- Instituto Nacional de Psiquiatría "Ramón de la Fuente Muñiz", Mexico City, Mexico
- Facultad de Medicina, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Sofia Fernandez-Lozano
- Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM) campus Juriquilla, Queretaro, Mexico
- Facultad de Psicología, Universidad Nacional Autónoma de México (UNAM), Mexico City, Mexico
| | - Christine E Parsons
- Department of Clinical Medicine, Interacting Minds Center, University of Aarhus, Aarhus, Denmark
| | - Sarael Alcauter
- Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM) campus Juriquilla, Queretaro, Mexico
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM) campus Juriquilla, Queretaro, Mexico.
- Department of Clinical Medicine, Center of Functionally Integrative Neuroscience, University of Aarhus, Aarhus, Denmark.
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Chang L, Liang H, Kandel SR, He JJ. Independent and Combined Effects of Nicotine or Chronic Tobacco Smoking and HIV on the Brain: A Review of Preclinical and Clinical Studies. J Neuroimmune Pharmacol 2020; 15:658-693. [PMID: 33108618 DOI: 10.1007/s11481-020-09963-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 02/07/2023]
Abstract
Tobacco smoking is highly prevalent among HIV-infected individuals. Chronic smokers with HIV showed greater cognitive deficits and impulsivity, and had more psychopathological symptoms and greater neuroinflammation than HIV non-smokers or smokers without HIV infection. However, preclinical studies that evaluated the combined effects of HIV-infection and tobacco smoking are scare. The preclinical models typically used cell cultures or animal models that involved specific HIV viral proteins or the administration of nicotine to rodents. These preclinical models consistently demonstrated that nicotine had neuroprotective and anti-inflammatory effects, leading to cognitive enhancement. Although the major addictive ingredient in tobacco smoking is nicotine, chronic smoking does not lead to improved cognitive function in humans. Therefore, preclinical studies designed to unravel the interactive effects of chronic tobacco smoking and HIV infection are needed. In this review, we summarized the preclinical studies that demonstrated the neuroprotective effects of nicotine, the neurotoxic effects of the HIV viral proteins, and the scant literature on nicotine or tobacco smoke in HIV transgenic rat models. We also reviewed the clinical studies that evaluated the neurotoxic effects of tobacco smoking, HIV infection and their combined effects on the brain, including studies that evaluated the cognitive and behavioral assessments, as well as neuroimaging measures. Lastly, we compared the different approaches between preclinical and clinical studies, identified some gaps and proposed some future directions. Graphical abstract Independent and combined effects of HIV and tobacco/nicotine. Left top and bottom panels: Both clinical studies of HIV infected persons and preclinical studies using viral proteins in vitro or in vivo in animal models showed that HIV infection could lead to neurotoxicity and neuroinflammation. Right top and bottom panels: While clinical studies of tobacco smoking consistently showed deleterious effects of smoking, clinical and preclinical studies that used nicotine show mild cognitive enhancement, neuroprotective and possibly anti-inflammatory effects. In the developing brain, however, nicotine is neurotoxic. Middle overlapping panels: Clinical studies of persons with HIV who were smokers typically showed additive deleterious effects of HIV and tobacco smoking. However, in the preclinical studies, when nicotine was administered to the HIV-1 Tg rats, the neurotoxic effects of HIV were attenuated, but tobacco smoke worsened the inflammatory cascade.
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Affiliation(s)
- Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W. Baltimore Street, HSF III, Baltimore, MD, 21201, USA.
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
- Department of Medicine, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.
| | - Huajun Liang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 670 W. Baltimore Street, HSF III, Baltimore, MD, 21201, USA
| | - Suresh R Kandel
- Department of Microbiology and Immunology, Chicago Medical School, Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, 3333 Green Bay Road, Basic Science Building 2.300, North Chicago, IL, 60064, USA
| | - Johnny J He
- Department of Microbiology and Immunology, Chicago Medical School, Center for Cancer Cell Biology, Immunology and Infection, Rosalind Franklin University, 3333 Green Bay Road, Basic Science Building 2.300, North Chicago, IL, 60064, USA.
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Wang C, Wang S, Shen Z, Qian W, Jiaerken Y, Luo X, Li K, Zeng Q, Gu Q, Yang Y, Huang P, Zhang M. Increased thalamic volume and decreased thalamo-precuneus functional connectivity are associated with smoking relapse. NEUROIMAGE-CLINICAL 2020; 28:102451. [PMID: 33022581 PMCID: PMC7548987 DOI: 10.1016/j.nicl.2020.102451] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 09/22/2020] [Accepted: 09/23/2020] [Indexed: 11/03/2022]
Abstract
The thalamus, with the highest density of nicotinic acetylcholine receptor (nAChR) in the brain, plays a central role in thalamo-cortical circuits that are implicated in nicotine addiction. However, little is known about whether the thalamo-cortical circuits are potentially predictive of smoking relapse. In the current study, a total of 125 participants (84 treatment-seeking male smokers and 41 age-matched male nonsmokers) were recruited. Structural and functional magnetic resonance images (MRI) were acquired from all participants. After a 12-week smoking cessation treatment with varenicline, the smokers were then divided into relapsers (n = 54) and nonrelapsers (n = 30). Then, we compared thalamic volume and seed-based thalamo-cortical resting state functional connectivity (rsFC) prior to the cessation treatment among relapsers, nonrelapsers and nonsmokers to investigate the associations between thalamic structure/function and smoking relapse. Increased thalamic volume was detected in smokers relative to nonsmokers, and in relapsers relative to nonrelapsers, especially on the left side. Moreover, decreased left thalamo-precuneus rsFC was detected in relapsers relative to nonrelapsers. Additionally, a logistic regression analysis showed that the thalamic volume and thalamo-precuneus rsFC predicted smoking relapse with an accuracy of 75.7%. These novel findings indicate that increased thalamic volume and decreased thalamo-precuneus rsFC are associated with smoking relapse, and these thalamic measures may be used to predict treatment efficacy of nicotine addiction and serve as a potential biomarker for personalized medicine.
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Affiliation(s)
- Chao Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Shuyue Wang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhujing Shen
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Qian
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yeerfan Jiaerken
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Quanquan Gu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Peiyu Huang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Chye Y, Kirkham R, Lorenzetti V, McTavish E, Solowij N, Yücel M. Cannabis, Cannabinoids, and Brain Morphology: A Review of the Evidence. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:627-635. [PMID: 32948510 DOI: 10.1016/j.bpsc.2020.07.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/19/2020] [Accepted: 07/10/2020] [Indexed: 11/26/2022]
Abstract
Cannabis and cannabinoid-based products are increasingly being accepted and commodified globally. Yet there is currently limited understanding of the effect of the varied cannabinoid compounds on the brain. Exogenous cannabinoids interact with the endogenous cannabinoid system that underpins vital functions in the brain and body, and they are thought to perturb key brain and cognitive function. However, much neuroimaging research has been confined to observational studies of cannabis users, without examining the specific role of the various cannabinoids (Δ9-tetrahydrocannabinol, cannabidiol, etc.). This review summarizes the brain structural imaging evidence to date associated with cannabis use, its major cannabinoids (e.g., Δ9-tetrahydrocannabinol, cannabidiol), and synthetic cannabinoid products that have emerged as recreational drugs. In doing so, we seek to highlight some of the key issues to consider in understanding cannabinoid-related brain effects, emphasizing the dual neurotoxic and neuroprotective role of cannabinoids, and the need to consider the distinct role of the varied cannabinoids in establishing their effect on the brain.
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Affiliation(s)
- Yann Chye
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Rebecca Kirkham
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Valentina Lorenzetti
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia; School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
| | - Eugene McTavish
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia
| | - Nadia Solowij
- School of Psychology, University of Wollongong, Wollongong, New South Wales, Australia; Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, New South Wales, Australia; Australian Centre for Cannabinoid Clinical and Research Excellence, New Lambton Heights, New South Wales, Australia
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia; Monash Biomedical Imaging Facility, Monash University, Melbourne, Victoria, Australia.
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21
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Liang H, Tang WK, Chu WCW, Ernst T, Chen R, Chang L. Striatal and white matter volumes in chronic ketamine users with or without recent regular stimulant use. Drug Alcohol Depend 2020; 213:108063. [PMID: 32498030 PMCID: PMC7686125 DOI: 10.1016/j.drugalcdep.2020.108063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/28/2020] [Accepted: 04/30/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Previous studies found enlarged striatum and white matter in those with stimulants use disorders. Whether primarily ketamine users (Primarily-K) and ketamine users who co-used stimulants and other substances (K+PolyS) have abnormal brain volumes is unknown. This study aims to evaluate possible brain structural abnormalities, cognitive function and depressive symptoms, between Primarily-K and K+PolyS users. METHODS Striatal and white matter volumes were automatically segmented in 39 Primarily-K users, 41 K+PolyS users and 46 non-drug users (ND). Cognitive performance in 7 neurocognitive domains and depressive symptoms were also evaluated. RESULTS Ketamine users had larger caudates than ND-controls (Right: 1-way-ANCOVA-p=0.035; K+PolyS vs. ND, p=0.030; Linear trend for K+PolyS>Primarily-K>ND, p=0.011; Left: 1-way-ANCOVA-p=0.047, Primarily-K vs. ND p=0.051) and larger total white matter (1-way ANCOVA-p=0.009, Poly+K vs. Primarily-K, p=0.05; Poly+K vs. ND p=0.011; Linear trend for K+PolyS>Primarily-K >ND, p=0.004). Across all ketamine users, they performed poorer on Arithmetic, learning and memory tasks, and were more depressed than Non-users (p<0.001 to p=0.001). Greater lifetime ketamine usage correlated with more depressive symptoms (r=0.27, p=0.008). Larger white matter correlated with better learning across all participants (r=0.21, p=0.019), while larger right caudate correlated with lower depression scores in ketamine users (r=-0.28, p=0.013). CONCLUSION Ketamine users had larger caudates and total white matter than ND-controls. The even larger white matter in K+PolyS users suggests additive effects from co-use of ketamine and stimulants. However, across the ketamine users, since greater volumes were associated with better learning and less depressive symptom, the enlarged caudates and white matter might represent a compensatory response.
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Affiliation(s)
- Huajun Liang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201 USA
| | - Wai Kwong Tang
- Department of Psychiatry, Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Winnie CW Chu
- Department of Imaging and Interventional Radiology, Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201 USA,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21201 USA
| | - Rong Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201 USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine,University of Maryland School of Medicine, Baltimore, MD, 21201, USA; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21201, USA; Department of Neurology University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
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22
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Shen Z, Huang P, Wang C, Qian W, Yang Y, Zhang M. Cerebellar Gray Matter Reductions Associate With Decreased Functional Connectivity in Nicotine-Dependent Individuals. Nicotine Tob Res 2019; 20:440-447. [PMID: 29065207 DOI: 10.1093/ntr/ntx168] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 07/25/2017] [Indexed: 01/19/2023]
Abstract
Introduction Nicotine dependence (ND) is a chronic, relapsing mental disorder characterized by compulsive cigarette seeking and smoking. Although the cerebellum plays an increasingly implicated role in ND, the exact cerebellar alterations in ND remain unclear. Identifying the localization of these cerebellar abnormalities in ND may help to further understand the role of the cerebellum in ND. Thus, we investigated the structural and functional alterations in the cerebellum in a large sample of smokers using the spatially unbiased infratentorial template (SUIT). Methods High-resolution structural magnetic resonance imaging (MRI) data were acquired from 85 smokers and 41 nonsmokers. We applied voxel-based morphometry (VBM) and the SUIT cerebellar atlas to compare the cerebellar gray matter (GM) volume between smokers and nonsmokers. Using resting-state functional MRI data, we also performed seed-based functional connectivity (FC) analysis to examine the functional correlates of the GM volume changes. Results Both VBM and lobular analyses revealed smaller GM volume in the bilateral Crus I in smokers. The GM volume of the left Crus I was inversely correlated with the severity of nicotine dependence as assessed by Fagerström Test for Nicotine Dependence (r = -.268, p = .013). We also found reduced FC between the bilateral Crus I and brain regions involved in the default mode network and motor system, as well as the frontal and temporal cortex in smokers. Conclusions Our results indicate that decreased cerebellar GM volume and corticocerebellar FC are associated with ND, and these may underlie the core ND phenotypes, including automatized smoking behavior, cognitive, and emotional deficits. Implications As smoking remains a worldwide public health problem, identifying the related neural alterations may help to understand the pathophysiology of ND. Based on previous findings in the cerebellum, we investigated the localization of the GM differences and related FC changes in ND subjects. Our findings highlight altered corticocerebellar circuits in ND, suggesting an association between the cerebellum and the phenotypes of ND.
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Affiliation(s)
- Zhujing Shen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Chao Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Qian
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Moreno-Rius J. The Cerebellum, THC, and Cannabis Addiction: Findings from Animal and Human Studies. THE CEREBELLUM 2019; 18:593-604. [DOI: 10.1007/s12311-018-0993-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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Huang AS, Mitchell JA, Haber SN, Alia-Klein N, Goldstein RZ. The thalamus in drug addiction: from rodents to humans. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0028. [PMID: 29352027 DOI: 10.1098/rstb.2017.0028] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2017] [Indexed: 02/07/2023] Open
Abstract
Impairments in response inhibition and salience attribution (iRISA) have been proposed to underlie the clinical symptoms of drug addiction as mediated by cortico-striatal-thalamo-cortical networks. The bulk of evidence supporting the iRISA model comes from neuroimaging research that has focused on cortical and striatal influences with less emphasis on the role of the thalamus. Here, we highlight the importance of the thalamus in drug addiction, focusing on animal literature findings on thalamic nuclei in the context of drug-seeking, structural and functional changes of the thalamus as measured by imaging studies in human drug addiction, particularly during drug cue and non-drug reward processing, and response inhibition tasks. Findings from the animal literature suggest that the paraventricular nucleus of the thalamus, the lateral habenula and the mediodorsal nucleus may be involved in the reinstatement, extinction and expression of drug-seeking behaviours. In support of the iRISA model, the human addiction imaging literature demonstrates enhanced thalamus activation when reacting to drug cues and reduced thalamus activation during response inhibition. This pattern of response was further associated with the severity of, and relapse in, drug addiction. Future animal studies could widen their field of focus by investigating the specific role(s) of different thalamic nuclei in different phases of the addiction cycle. Similarly, future human imaging studies should aim to specifically delineate the structure and function of different thalamic nuclei, for example, through the application of advanced imaging protocols at higher magnetic fields (7 Tesla).This article is part of a discussion meeting issue 'Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists'.
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Affiliation(s)
- Anna S Huang
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Suzanne N Haber
- Department of Pharmacology and Physiology, School of Medicine, University of Rochester, Rochester, NY, USA
| | - Nelly Alia-Klein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rita Z Goldstein
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA .,Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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25
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Shen Z, Huang P, Wang C, Qian W, Luo X, Gu Q, Chen H, Wang H, Yang Y, Zhang M. Interactions between monoamine oxidase A rs1137070 and smoking on brain structure and function in male smokers. Eur J Neurosci 2018; 50:2201-2210. [PMID: 30456877 DOI: 10.1111/ejn.14282] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 10/29/2018] [Accepted: 11/01/2018] [Indexed: 11/28/2022]
Abstract
The monoamine oxidase A (MAOA) enzyme metabolizes monoamine neurotransmitters such as dopamine, serotonin and norepinephrine, and its genetic polymorphism (rs1137070) influences its activity level and is associated with smoking behaviors. However, the underlying neural mechanisms of the gene × environment interactions remain largely unknown. In this study, we aimed to explore the interactive effects of the rs1137070 and cigarette smoking on gray matter volume (GMV) and functional connectivity strength (FCS). A total of 81 smokers and 42 nonsmokers were enrolled in the present study. Voxel-based morphometry analysis showed a significant rs1137070 genotype × smoking effect on the GMV of the left orbitofrontal cortex (OFC), such that individuals with risk allele had greater GMV among nonsmokers but not smokers. Meanwhile, rs1137070 variant and nicotine dependence interactively altered the FCS of the right hippocampus, the left inferior parietal lobule (IPL), the left dorsolateral prefrontal cortex and bilateral OFC. In addition, the FCS in the left IPL was correlated with smoking initiation and smoking years in smokers with the risk allele. These findings suggest that MAOA rs1137070 contributes to the susceptibility to nicotine dependence through its influence on brain circuits involved in reward and attention, and interacts with smoking in the progression.
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Affiliation(s)
- Zhujing Shen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Peiyu Huang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Chao Wang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Wei Qian
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Xiao Luo
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Quanquan Gu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
| | - Huan Chen
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, China
| | - Hongjuan Wang
- China National Tobacco Quality Supervision & Test Center, Zhengzhou, China
| | - Yihong Yang
- Neuroimaging Research Branch, National Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, USA
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No. 88 Jiefang Road, Hangzhou, Zhejiang, 310009, China
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Bolbecker AR, Apthorp D, Martin AS, Tahayori B, Moravec L, Gomez KL, O’Donnell BF, Newman SD, Hetrick WP. Disturbances of postural sway components in cannabis users. Drug Alcohol Depend 2018; 190:54-61. [PMID: 29983392 PMCID: PMC7185833 DOI: 10.1016/j.drugalcdep.2018.05.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 05/03/2018] [Accepted: 05/04/2018] [Indexed: 11/25/2022]
Abstract
INTRODUCTION A prominent effect of acute cannabis use is impaired motor coordination and driving performance. However, few studies have evaluated balance in chronic cannabis users, even though density of the CB1 receptor, which mediates the psychoactive effects of cannabis, is extremely high in brain regions critically involved in this fundamental behavior. The present study measured postural sway in regular cannabis users and used rambling and trembling analysis to quantify the integrity of central and peripheral nervous system contributions to the sway signal. METHODS Postural sway was measured in 42 regular cannabis users (CB group) and 36 non-cannabis users (N-CB group) by asking participants to stand as still as possible on a force platform in the presence and absence of motor and sensory challenges. Center of pressure (COP) path length was measured, and the COP signal was decomposed into rambling and trembling components. Exploratory correlational analyses were conducted between sway variables, cannabis use history, and neurocognitive function. RESULTS The CB group had significantly increased path length and increased trembling in the anterior-posterior (AP) direction. Exploratory correlational analyses suggested that AP rambling was significantly inversely associated with visuo-motor processing speed. DISCUSSION Regular cannabis use is associated with increased postural sway, and this appears to be predominantly due to the trembling component, which is believed to reflect the peripheral nervous system's contribution to the sway signal.
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Affiliation(s)
- Amanda R. Bolbecker
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States,Dept. of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States,Larue D. Carter Memorial Hospital, Indianapolis, IN, United States,School of Psychology and Behavioural Science, University of New England, NSW, Australia,Corresponding author at: Dept. of Psychological and Brain Sciences, Indiana University, 1101 E. Tenth St., Bloomington, IN, 47405, United States. (A.R. Bolbecker)
| | - Deborah Apthorp
- School of Psychology and Behavioural Science, University of New England, NSW, Australia,Research School of Computer Science, Australian National University, ACT, Australia
| | | | - Behdad Tahayori
- Department of Biomedical Engineering, Florida International University, Miami, Florida, United States
| | - Leah Moravec
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Karen L. Gomez
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
| | - Brian F. O’Donnell
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States,Dept. of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States,Larue D. Carter Memorial Hospital, Indianapolis, IN, United States
| | - Sharlene D. Newman
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States
| | - William P. Hetrick
- Dept. of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States,Dept. of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States,Larue D. Carter Memorial Hospital, Indianapolis, IN, United States
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27
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Kaag AM, Schulte MHJ, Jansen JM, van Wingen G, Homberg J, van den Brink W, Wiers RW, Schmaal L, Goudriaan AE, Reneman L. The relation between gray matter volume and the use of alcohol, tobacco, cocaine and cannabis in male polysubstance users. Drug Alcohol Depend 2018; 187:186-194. [PMID: 29679913 DOI: 10.1016/j.drugalcdep.2018.03.010] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 02/12/2018] [Accepted: 03/06/2018] [Indexed: 02/03/2023]
Abstract
BACKGROUND Neuroimaging studies have demonstrated gray matter (GM) volume abnormalities in substance users. While the majority of substance users are polysubstance users, very little is known about the relation between GM volume abnormalities and polysubstance use. METHODS In this study we assessed the relation between GM volume, and the use of alcohol, tobacco, cocaine and cannabis as well as the total number of substances used, in a sample of 169 males: 15 non-substance users, 89 moderate drinkers, 27 moderate drinkers who also smoke tobacco, 13 moderate drinkers who also smoke tobacco and use cocaine, 10 heavy drinkers who smoke tobacco and use cocaine and 15 heavy drinkers who smoke tobacco, cannabis and use cocaine. RESULTS Regression analyses showed that there was a negative relation between the number of substances used and volume of the dorsal medial prefrontal cortex (mPFC) and the ventral mPFC. Without controlling for the use of other substances, the volume of the dorsal mPFC was negatively associated with the use of alcohol, tobacco, and cocaine. After controlling for the use of other substances, a negative relation was found between tobacco and cocaine and volume of the thalami and ventrolateral PFC, respectively. CONCLUSION These findings indicate that mPFC alterations may not be substance-specific, but rather related to the number of substances used, whereas, thalamic and ventrolateral PFC pathology is specifically associated with tobacco and cocaine use, respectively. These findings are important, as the differential alterations in GM volume may underlie different cognitive deficits associated with substance use disorders.
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Affiliation(s)
- A M Kaag
- Addiction, Development and Psychopathology (ADAPT) Lab, Department of Psychology, University of Amsterdam, The Netherlands; Department of Anatomy and Neurosciences, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Medical Center, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands.
| | - M H J Schulte
- Addiction, Development and Psychopathology (ADAPT) Lab, Department of Psychology, University of Amsterdam, The Netherlands; Departement of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands
| | - J M Jansen
- Departement of Psychiatry, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands; Leiden University, Faculty of Law, Institute for Criminal Law & Criminology, Leiden, The Netherlands
| | - G van Wingen
- Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands; Departement of Psychiatry, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands
| | - J Homberg
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Medical Centre, Nijmegen, The Netherlands
| | - W van den Brink
- Departement of Psychiatry, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands
| | - R W Wiers
- Addiction, Development and Psychopathology (ADAPT) Lab, Department of Psychology, University of Amsterdam, The Netherlands; Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands
| | - L Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia; Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - A E Goudriaan
- Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands; Departement of Psychiatry, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands
| | - L Reneman
- Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands; Departement of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Academic Medical Centre, Amsterdam, The Netherlands
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28
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Filbey FM, Aslan S, Lu H, Peng SL. Residual Effects of THC via Novel Measures of Brain Perfusion and Metabolism in a Large Group of Chronic Cannabis Users. Neuropsychopharmacology 2018; 43:700-707. [PMID: 28240291 PMCID: PMC5809805 DOI: 10.1038/npp.2017.44] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 02/06/2017] [Accepted: 02/07/2017] [Indexed: 11/17/2022]
Abstract
Given the known vascular effects of cannabis, this study examined the neurophysiological factors that may affect studies of brain activity in cannabis users. We conducted a systematic evaluation in 72 h abstinent, chronic cannabis users (N=74) and nonusing controls (N=101) to determine the association between prolonged cannabis use and the following neurophysiological indicators: (1) global and regional resting cerebral blood flow (CBF), (2) oxygen extraction fraction (OEF), and (3) cerebral metabolic rate of oxygen (CMRO2). We found that cannabis users had greater global OEF and CMRO2 compared with nonusers. Regionally, we found higher CBF in the right pallidum/putamen of the cannabis users compared with nonusers. Global resting CBF and regional CBF of right superior frontal cortex correlated positively with creatinine-normalized Δ9-tetrahydrocannabinol (THC) levels. These findings demonstrate residual effects of cannabis use whereby global and regional brain metabolism are altered in those with prolonged cannabis exposure. These neurophysiological alterations should be considered in both research and clinical applications.
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Affiliation(s)
- Francesca M Filbey
- Center for BrainHealth, University of Texas at Dallas, Dallas, TX, USA,Center for BrainHealth, University of Texas at Dallas, 2200 West Mockingbird Lane, Dallas, TX 75235, USA, Tel: +1 972 883 3311, E-mail:
| | - Sina Aslan
- Center for BrainHealth, University of Texas at Dallas, Dallas, TX, USA,Advance MRI LLC, Frisco, TX, USA
| | - Hanzhang Lu
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
| | - Shin-Lei Peng
- Department of Radiology, Johns Hopkins University, Baltimore, MD, USA,Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
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29
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Abstract
Purpose of the Review Cannabis is the most commonly used illicit substance worldwide. In recent decades, highly concentrated products have flooded the market, and prevalence rates have increased. Gender differences exist in cannabis use, as men have higher prevalence of both cannabis use and cannabis use disorder (CUD), while women progress more rapidly from first use to CUD. This paper reviews findings from preclinical and human studies examining the sex-specific neurobiological underpinnings of cannabis use and CUD, and associations with psychiatric symptoms. Recent Findings Sex differences exist in the endocannabinoid system, in cannabis exposure effects on brain structure and function, and in the co-occurrence of cannabis use with symptoms of anxiety, depression and schizophrenia. In female cannabis users, anxiety symptoms correlate with larger amygdala volume and social anxiety disorder symptoms correlate with CUD symptoms. Female cannabis users are reported to be especially vulnerable to earlier onset of schizophrenia, and mixed trends emerge in the correlation of depressive symptoms with cannabis exposure in females and males. Summary As prevalence of cannabis use may continue to increase given the shifting policy landscape regarding marijuana laws, understanding the neurobiological mechanisms of cannabis exposure in females and males is key. Examining these mechanisms may help inform future research on sex-specific pharmacological and behavioral interventions for women and men with high-risk cannabis use, comorbid psychiatric disease, and CUD.
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30
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Durazzo TC, Meyerhoff DJ, Yoder KK, Murray DE. Cigarette smoking is associated with amplified age-related volume loss in subcortical brain regions. Drug Alcohol Depend 2017; 177. [PMID: 28622625 PMCID: PMC6602081 DOI: 10.1016/j.drugalcdep.2017.04.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Magnetic resonance imaging studies of cigarette smoking-related effects on human brain structure have primarily employed voxel-based morphometry, and the most consistently reported finding was smaller volumes or lower density in anterior frontal regions and the insula. Much less is known about the effects of smoking on subcortical regions. We compared smokers and non-smokers on regional subcortical volumes, and predicted that smokers demonstrate greater age-related volume loss across subcortical regions than non-smokers. METHODS Non-smokers (n=43) and smokers (n=40), 22-70 years of age, completed a 4T MRI study. Bilateral total subcortical lobar white matter (WM) and subcortical nuclei volumes were quantitated via FreeSurfer. In smokers, associations between smoking severity measures and subcortical volumes were examined. RESULTS Smokers demonstrated greater age-related volume loss than non-smokers in the bilateral subcortical lobar WM, thalamus, and cerebellar cortex, as well as in the corpus callosum and subdivisions. In smokers, higher pack-years were associated with smaller volumes of the bilateral amygdala, nucleus accumbens, total corpus callosum and subcortical WM. CONCLUSIONS Results provide novel evidence that chronic smoking in adults is associated with accelerated age-related volume loss in subcortical WM and GM nuclei. Greater cigarette quantity/exposure was related to smaller volumes in regions that also showed greater age-related volume loss in smokers. Findings suggest smoking adversely affected the structural integrity of subcortical brain regions with increasing age and exposure. The greater age-related volume loss in smokers may have implications for cortical-subcortical structural and/or functional connectivity, and response to available smoking cessation interventions.
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Affiliation(s)
- Timothy C. Durazzo
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, United States,Mental Illness Research and Education Clinical Centers and Sierra-Pacific War Related Illness and Injury Study Center, VA Palo Alto Health Care System, United States,Corresponding author at: War Related Illness and Injury Study Centers, Mental Illness Research and Education Clinical Centers (151Y), VA Palo Alto Health Care System, 3801 Miranda Ave., Palo Alto, CA 94304, United States., , (T.C. Durazzo)
| | - Dieter J. Meyerhoff
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States,Center for Imaging of Neurodegenerative Diseases, San Francisco VA Medical Center, United States
| | - Karmen K. Yoder
- Indiana University Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, United States
| | - Donna E. Murray
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, United States,Center for Imaging of Neurodegenerative Diseases, San Francisco VA Medical Center, United States
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31
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Chye Y, Solowij N, Suo C, Batalla A, Cousijn J, Goudriaan AE, Martin-Santos R, Whittle S, Lorenzetti V, Yücel M. Orbitofrontal and caudate volumes in cannabis users: a multi-site mega-analysis comparing dependent versus non-dependent users. Psychopharmacology (Berl) 2017; 234:1985-1995. [PMID: 28364340 DOI: 10.1007/s00213-017-4606-9] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Accepted: 03/13/2017] [Indexed: 11/25/2022]
Abstract
RATIONALE Cannabis (CB) use and dependence are associated with regionally specific alterations to brain circuitry and substantial psychosocial impairment. OBJECTIVES The objective of this study was to investigate the association between CB use and dependence, and the volumes of brain regions critically involved in goal-directed learning and behaviour-the orbitofrontal cortex (OFC) and caudate. METHODS In the largest multi-site structural imaging study of CB users vs healthy controls (HC), 140 CB users and 121 HC were recruited from four research sites. Group differences in OFC and caudate volumes were investigated between HC and CB users and between 70 dependent (CB-dep) and 50 non-dependent (CB-nondep) users. The relationship between quantity of CB use and age of onset of use and caudate and OFC volumes was explored. RESULTS CB users (consisting of CB-dep and CB-nondep) did not significantly differ from HC in OFC or caudate volume. CB-dep compared to CB-nondep users exhibited significantly smaller volume in the medial and the lateral OFC. Lateral OFC volume was particularly smaller in CB-dep females, and reduced volume in the CB-dep group was associated with higher monthly cannabis dosage. CONCLUSIONS Smaller medial OFC volume may be driven by CB dependence-related mechanisms, while smaller lateral OFC volume may be due to ongoing exposure to cannabinoid compounds. The results highlight a distinction between cannabis use and dependence and warrant examination of gender-specific effects in studies of CB dependence.
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Affiliation(s)
- Yann Chye
- Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Nadia Solowij
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia
| | - Chao Suo
- Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Albert Batalla
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, The Netherlands
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM and Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Janna Cousijn
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Anna E Goudriaan
- Department of Psychiatry, Amsterdam Institute for Addiction Research, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Rocio Martin-Santos
- Department of Psychiatry and Psychology, Hospital Clinic, IDIBAPS, CIBERSAM and Institute of Neuroscience, University of Barcelona, Barcelona, Spain
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Valentina Lorenzetti
- Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Australia.
- School of Psychological Sciences, Institute of Psychology, Health and Society, The University of Liverpool, Liverpool, UK.
| | - Murat Yücel
- Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia.
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32
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Zimmermann K, Walz C, Derckx RT, Kendrick KM, Weber B, Dore B, Ochsner KN, Hurlemann R, Becker B. Emotion regulation deficits in regular marijuana users. Hum Brain Mapp 2017; 38:4270-4279. [PMID: 28560818 DOI: 10.1002/hbm.23671] [Citation(s) in RCA: 62] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Revised: 05/12/2017] [Accepted: 05/22/2017] [Indexed: 01/17/2023] Open
Abstract
Effective regulation of negative affective states has been associated with mental health. Impaired regulation of negative affect represents a risk factor for dysfunctional coping mechanisms such as drug use and thus could contribute to the initiation and development of problematic substance use. This study investigated behavioral and neural indices of emotion regulation in regular marijuana users (n = 23) and demographically matched nonusing controls (n = 20) by means of an fMRI cognitive emotion regulation (reappraisal) paradigm. Relative to nonusing controls, marijuana users demonstrated increased neural activity in a bilateral frontal network comprising precentral, middle cingulate, and supplementary motor regions during reappraisal of negative affect (P < 0.05, FWE) and impaired emotion regulation success on the behavioral level (P < 0.05). Amygdala-focused analyses further revealed impaired amygdala downregulation in the context of decreased amygdala-dorsolateral prefrontal cortex functional connectivity (P < 0.05, FWE) during reappraisal in marijuana users relative to controls. Together, the present findings could reflect an unsuccessful attempt of compensatory recruitment of additional neural resources in the context of disrupted amygdala-prefrontal interaction during volitional emotion regulation in marijuana users. As such, impaired volitional regulation of negative affect might represent a consequence of, or risk factor for, regular marijuana use. Hum Brain Mapp 38:4270-4279, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Kaeli Zimmermann
- Department of Psychiatry and Division of Medical Psychology, University of Bonn, Bonn, 53105, Germany
| | - Christina Walz
- Center for Economics and Neuroscience, Department of Epileptology, University of Bonn, Bonn, 53105, Germany.,Department of NeuroCognition, Life & Brain Center, Bonn, 53105, Germany
| | - Raissa T Derckx
- Department of Psychiatry and Division of Medical Psychology, University of Bonn, Bonn, 53105, Germany
| | - Keith M Kendrick
- Key Laboratory for NeuroInformation, School of Life Science and Technology and Center for Information in Medicine, University of Electronic Science and Technology of China, 610054, People's Republic of China
| | - Bernd Weber
- Center for Economics and Neuroscience, Department of Epileptology, University of Bonn, Bonn, 53105, Germany.,Department of NeuroCognition, Life & Brain Center, Bonn, 53105, Germany
| | - Bruce Dore
- Annenberg School for Communication, University of Pennsylvania, Philadelphia, Pennsylvania, 19104
| | - Kevin N Ochsner
- Department of Psychology, Columbia University, New York, New York, 10027
| | - René Hurlemann
- Department of Psychiatry and Division of Medical Psychology, University of Bonn, Bonn, 53105, Germany
| | - Benjamin Becker
- Key Laboratory for NeuroInformation, School of Life Science and Technology and Center for Information in Medicine, University of Electronic Science and Technology of China, 610054, People's Republic of China
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33
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Sutherland MT, Riedel MC, Flannery JS, Yanes JA, Fox PT, Stein EA, Laird AR. Chronic cigarette smoking is linked with structural alterations in brain regions showing acute nicotinic drug-induced functional modulations. Behav Brain Funct 2016; 12:16. [PMID: 27251183 PMCID: PMC4890474 DOI: 10.1186/s12993-016-0100-5] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 05/14/2016] [Indexed: 12/21/2022] Open
Abstract
Background Whereas acute nicotine administration alters brain function which may, in turn, contribute to enhanced attention and performance, chronic cigarette smoking is linked with regional brain atrophy and poorer cognition. However, results from structural magnetic resonance imaging (MRI) studies comparing smokers versus nonsmokers have been inconsistent and measures of gray matter possess limited ability to inform functional relations or behavioral implications. The purpose of this study was to address these interpretational challenges through meta-analytic techniques in the service of clarifying the impact of chronic smoking on gray matter integrity and more fully contextualizing such structural alterations. Methods We first conducted a coordinate-based meta-analysis of structural MRI studies to identify consistent structural alterations associated with chronic smoking. Subsequently, we conducted two additional meta-analytic assessments to enhance insight into potential functional and behavioral relations. Specifically, we performed a multimodal meta-analytic assessment to test the structural–functional hypothesis that smoking-related structural alterations overlapped those same regions showing acute nicotinic drug-induced functional modulations. Finally, we employed database driven tools to identify pairs of structurally impacted regions that were also functionally related via meta-analytic connectivity modeling, and then delineated behavioral phenomena associated with such functional interactions via behavioral decoding. Results Across studies, smoking was associated with convergent structural decreases in the left insula, right cerebellum, parahippocampus, multiple prefrontal cortex (PFC) regions, and the thalamus. Indicating a structural–functional relation, we observed that smoking-related gray matter decreases overlapped with the acute functional effects of nicotinic agonist administration in the left insula, ventromedial PFC, and mediodorsal thalamus. Suggesting structural-behavioral implications, we observed that the left insula’s task-based, functional interactions with multiple other structurally impacted regions were linked with pain perception, the right cerebellum’s interactions with other regions were associated with overt body movements, interactions between the parahippocampus and thalamus were linked with memory processes, and interactions between medial PFC regions were associated with face processing. Conclusions Collectively, these findings emphasize brain regions (e.g., ventromedial PFC, insula, thalamus) critically linked with cigarette smoking, suggest neuroimaging paradigms warranting additional consideration among smokers (e.g., pain processing), and highlight regions in need of further elucidation in addiction (e.g., cerebellum). Electronic supplementary material The online version of this article (doi:10.1186/s12993-016-0100-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Matthew T Sutherland
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA.
| | - Michael C Riedel
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA.,Department of Physics, Florida International University, Miami, FL, USA
| | - Jessica S Flannery
- Department of Psychology, Florida International University, AHC-4, RM 312, 11200 S.W. 8th St, Miami, FL, 33199, USA
| | - Julio A Yanes
- Department of Psychology, Auburn University, Auburn, AL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA.,South Texas Veterans Health Care System, San Antonio, TX, USA.,State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | - Elliot A Stein
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, NIH/DHHS, Baltimore, MD, USA
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
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34
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Voxelwise meta-analysis of gray matter anomalies in chronic cigarette smokers. Behav Brain Res 2016; 311:39-45. [PMID: 27173432 DOI: 10.1016/j.bbr.2016.05.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 05/02/2016] [Accepted: 05/06/2016] [Indexed: 11/24/2022]
Abstract
BACKGROUND Evidence from previous voxel-based morphometry (VBM) studies revealed that widespread brain regions are involved in chronic smoking. However, the spatial localization reported for gray matter (GM) abnormalities is heterogeneous. The aim of the present study was quantitatively to integrate studies on GM abnormalities observed in chronic smokers. METHODS A systematic search of the PubMed, Web of Knowledge and Science Direct databases from January 1, 2000 to July 31, 2015 was performed to identify eligible whole-brain VBM studies. Comprehensive meta-analyses to investigate regional GM abnormalities in chronic smokers were conducted with the Seed-based d Mapping software package. RESULTS Eleven studies comprising 686 chronic cigarette smokers and 1024 nonsmokers were included in the meta-analyses. Consistently across studies, the chronic smokers showed a robust GM decrease in the bilateral prefrontal cortex and a GM increase in the right lingual cortex. Moreover, meta-regression demonstrated that smoking years and cigarettes per day were partly correlated with GM anomalies in chronic cigarette smokers. CONCLUSIONS The convergent findings of this quantitative meta-analysis reveal a characteristic neuroanatomical pattern in chronic smokers. Future longitudinal studies should investigate whether this brain morphometric pattern can serve as a useful target and a prognostic marker for smoking intervention.
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Subramaniam P, McGlade E, Yurgelun-Todd D. Comorbid Cannabis and Tobacco Use in Adolescents and Adults. CURRENT ADDICTION REPORTS 2016; 3:182-188. [PMID: 27175326 DOI: 10.1007/s40429-016-0101-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The prevalence of comorbid cannabis and tobacco use has been increasing among adolescents and adults and has been shown to be associated with a range of changes or deficits in physical, psychological and behavioral outcomes. Moreover, comorbid use has been shown to have a differential effect on the structure and function of the brain, especially as it relates to the reward circuitry and learning and memory. This interaction might be mediated by the involvement of the endocannabinoid system and alterations in dopamine signaling in regions associated with reward and cognitive functioning. While current findings demonstrate a differential effect of comorbid use on neurobiological and behavioral correlates compared with single substance use, additional studies are needed controlling for potential psychiatric comorbidities, age of onset of use and use of other substances. Understanding the neurobiological mechanisms associated with comorbid cannabis and tobacco use will be important in developing successful treatment outcomes in the future.
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Affiliation(s)
- Punitha Subramaniam
- Interdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA; Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA
| | - Erin McGlade
- Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA; Department of Psychiatry, University of Utah, Salt Lake City, UT; George E. Whalen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center (MIRREC), Salt Lake City, UT, USA
| | - Deborah Yurgelun-Todd
- Interdepartmental Program in Neuroscience, University of Utah, Salt Lake City, UT, USA; Diagnostic Neuroimaging, University of Utah, Salt Lake City, UT USA; Department of Psychiatry, University of Utah, Salt Lake City, UT; George E. Whalen Department of Veterans Affairs Medical Center, VA VISN 19 Mental Illness Research, Education and Clinical Center (MIRREC), Salt Lake City, UT, USA
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36
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Abstract
There is extensive research on the safety, toxicology, potency, and therapeutic potential of cannabis. However, uncertainty remains facilitating continued debate on medical and recreational cannabis policies at the state and federal levels. This review will include a brief description of cannabinoids and the endocannabinoid system; a summary of the acute and long-term effects of cannabis; and a discussion of the therapeutic potential of cannabis. The conclusions about safety and efficacy will then be compared with the current social and political climate to suggest future policy directions and general guidelines.
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Affiliation(s)
- Jane Sachs
- Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT, 84108, USA.
| | - Erin McGlade
- Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT, 84108, USA
| | - Deborah Yurgelun-Todd
- Department of Psychiatry, University of Utah, 383 Colorow Drive, Salt Lake City, UT, 84108, USA
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37
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Wetherill RR, Fang Z, Jagannathan K, Childress AR, Rao H, Franklin TR. Cannabis, cigarettes, and their co-occurring use: Disentangling differences in default mode network functional connectivity. Drug Alcohol Depend 2015; 153:116-23. [PMID: 26094186 PMCID: PMC4509835 DOI: 10.1016/j.drugalcdep.2015.05.046] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 05/26/2015] [Accepted: 05/29/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND Resting-state functional connectivity is a noninvasive, neuroimaging method for assessing neural network function. Altered functional connectivity among regions of the default-mode network have been associated with both nicotine and cannabis use; however, less is known about co-occurring cannabis and tobacco use. METHODS We used posterior cingulate cortex (PCC) seed-based resting-state functional connectivity analyses to examine default mode network (DMN) connectivity strength differences between four groups: (1) individuals diagnosed with cannabis dependence who do not smoke tobacco (n=19; ages 20-50), (2) cannabis-dependent individuals who smoke tobacco (n=23, ages 21-52), (3) cannabis-naïve, nicotine-dependent individuals who smoke tobacco (n=24, ages 21-57), and (4) cannabis- and tobacco-naïve healthy controls (n=21, ages 21-50), controlling for age, sex, and alcohol use. We also explored associations between connectivity strength and measures of cannabis and tobacco use. RESULTS PCC seed-based analyses identified the core nodes of the DMN (i.e., PCC, medial prefrontal cortex, inferior parietal cortex, and temporal cortex). In general, the cannabis-dependent, nicotine-dependent, and co-occurring use groups showed lower DMN connectivity strengths than controls, with unique group differences in connectivity strength between the PCC and the cerebellum, medial prefrontal cortex, parahippocampus, and anterior insula. In cannabis-dependent individuals, PCC-right anterior insula connectivity strength correlated with duration of cannabis use. CONCLUSIONS This study extends previous research that independently examined the differences in resting-state functional connectivity among individuals who smoke cannabis and tobacco by including an examination of co-occurring cannabis and tobacco use and provides further evidence that cannabis and tobacco exposure is associated with alterations in DMN connectivity.
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Affiliation(s)
- Reagan R Wetherill
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA.
| | - Zhuo Fang
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
| | - Kanchana Jagannathan
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
| | - Anna Rose Childress
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
| | - Hengyi Rao
- University of Pennsylvania, Center for Functional Neuroimaging, Philadelphia, PA 19104 USA
| | - Teresa R Franklin
- University of Pennsylvania, Department of Psychiatry, Philadelphia, PA 19104, USA
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