1
|
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.
Collapse
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
| |
Collapse
|
2
|
Monleón S, Gómez J, Duque A, Vinader-Caerols C. Effects of binge drinking and the anti-inflammatory drug indomethacin on spatial memory and cognitive flexibility in mice. Behav Brain Res 2022; 417:113619. [PMID: 34619248 DOI: 10.1016/j.bbr.2021.113619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 01/15/2023]
Abstract
In previous research, we found that chronic-intermittent ethanol administration (CIEA), a model of binge drinking, impaired emotional memory in mice, and this impairment was counteracted by the anti-inflammatory drug indomethacin. In the present study, we evaluated the effects of CIEA on spatial memory and cognitive flexibility in adolescent mice of both sexes. Animals were randomly assigned to one of four groups for each sex: SS (saline + saline), SA (saline + alcohol), SI (saline + indomethacin), and AI (alcohol + indomethacin). They were injected with saline, ethanol (3 g/kg) or indomethacin (10 mg/kg) for the first three days of each week, throughout three weeks. 96 h after treatment, subjects learnt a standard water maze task on five consecutive days (4-day training and 1-day probe trial). One day later, mice underwent a reversal task for evaluating spatial cognitive flexibility. Animals receiving alcohol (SA and AI groups) did not differ from controls (SS groups) during the standard task, but animals treated with indomethacin performed better than controls, both in the acquisition trials and the probe trial. During the reversal task, no significant differences between alcohol groups and controls were observed, but the indomethacin group showed significant lower escape latencies than controls. No sex differences were found in either task. In conclusion, binge drinking does not impair spatial memory or spatial cognitive flexibility, while the anti-inflammatory indomethacin improves both, showing that the effects of alcohol and indomethacin on spatial memory (dependent on hippocampus) are different to those they exert on emotional memory (dependent on amygdala).
Collapse
Affiliation(s)
- Santiago Monleón
- Department of Psychobiology, University of Valencia, Valencia, Spain.
| | - Javier Gómez
- Department of Psychobiology, University of Valencia, Valencia, Spain
| | - Aránzazu Duque
- Department of Psychology, Universidad Internacional de Valencia, Valencia, Spain
| | | |
Collapse
|
3
|
Guo X, Yan T, Chen M, Ma X, Li R, Li B, Yang A, Chen Y, Fang T, Yu H, Tian H, Chen G, Zhuo C. Differential effects of alcohol-drinking patterns on the structure and function of the brain and cognitive performance in young adult drinkers: A pilot study. Brain Behav 2022; 12:e2427. [PMID: 34808037 PMCID: PMC8785638 DOI: 10.1002/brb3.2427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 10/12/2021] [Accepted: 10/13/2021] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION This study was aimed to determine how different patterns of alcohol consumption drive changes to brain structure and function and their correlation with cognitive impairments in young adult alcohol drinkers. METHODS In this study, we enrolled five groups participants and defined as: long-term abstinence from alcohol (LA), binge drinking (BD), long-term low dosage alcohol consumption but exceeding the safety drinking dosage (LD), long-term alcohol consumption of damaging dosage (LDD), and long-term heavy drinking (HD). All participants underwent magnetic resonance imaging (MRI) and functional MRI (fMRI) to acquire data on brain structure and function, including gray matter volume (GMV), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), functional connectivity (FC), and brain network properties. The cognitive ability was evaluated with the California Verbal Learning Test (CVLT), intelligence quotient (IQ), and short delay free recall (SDFR). RESULTS Compared to LA, GMV significantly decreased in the brain regions in VN, SMN, and VAN in the alcohol-drinking groups (BD, LD, LDD, and HD). ReHo was significantly enhanced in the brain regions in VN, SMN, and VAN, while fALFF significantly increased in the brain regions in VN and SMN. The number of intra- and inter-modular connections within networks (VN, SMN, sensory control network [SCN], and VAN) and their connections to other modules were abnormally changed. These changes adversely affected cognition (e.g., IQ, CVLT, SDFR). CONCLUSION Despite the small sample size, this study provides new evidence supporting the need for young people to abstain from alcohol to protect their brains. These findings present strong reasoning for updating anti-alcohol slogans and guidelines for young people in the future.
Collapse
Affiliation(s)
- Xiaobing Guo
- The National Clinical Research Center for Mental Disorders and Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tongjun Yan
- Department of Psychiatry, 904th Hospital of PLA, Changzhou, Jiangsu, China
| | - Min Chen
- Institute of Mental Health, Jining Medical University, Jining, China
| | - Xiaoyan Ma
- Department of Alcohol Dependence Management, Tianjin Anding Hospital, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin, China.,Tianjin Anding Hospital, Tianjin Mental Health Center, Key Laboratory of Psychiatry Neuroimaging-Genetics and Co-morbidity (PNGC_Lab) of Tianjin Medical University Clinical Hospital of Mental Health, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Ranli Li
- Department of Alcohol Dependence Management, Tianjin Anding Hospital, Tianjin Medical University Clinical Hospital of Mental Health, Tianjin, China.,Tianjin Anding Hospital, Tianjin Mental Health Center, Key Laboratory of Psychiatry Neuroimaging-Genetics and Co-morbidity (PNGC_Lab) of Tianjin Medical University Clinical Hospital of Mental Health, Nankai University Affiliated Tianjin Anding Hospital, Tianjin, China
| | - Bo Li
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Anqu Yang
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Yuhui Chen
- Department of Psychiatry, Tianjin Kangtai Mental Health Hospital, Tianjin, China
| | - Tao Fang
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Haiping Yu
- Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Hongjun Tian
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Guangdong Chen
- Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chuanjun Zhuo
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab), Tianjin Fourth Center Hospital, Tianjin Medical Affiliated Tianjin Fourth Central Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China.,Department of Alcohol Dependence Management, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| |
Collapse
|
4
|
Interoception and alcohol: Mechanisms, networks, and implications. Neuropharmacology 2021; 200:108807. [PMID: 34562442 DOI: 10.1016/j.neuropharm.2021.108807] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/20/2021] [Accepted: 09/21/2021] [Indexed: 01/25/2023]
Abstract
Interoception refers to the perception of the internal state of the body and is increasingly being recognized as an important factor in mental health disorders. Drugs of abuse produce powerful interoceptive states that are upstream of behaviors that drive and influence drug intake, and addiction pathology is impacted by interoceptive processes. The goal of the present review is to discuss interoceptive processes related to alcohol. We will cover physiological responses to alcohol, how interoceptive states can impact drinking, and the recruitment of brain networks as informed by clinical research. We also review the molecular and brain circuitry mechanisms of alcohol interoceptive effects as informed by preclinical studies. Finally, we will discuss emerging treatments with consideration of interoception processes. As our understanding of the role of interoception in drug and alcohol use grows, we suggest that the convergence of information provided by clinical and preclinical studies will be increasingly important. Given the complexity of interoceptive processing and the multitude of brain regions involved, an overarching network-based framework can provide context for how focused manipulations modulate interoceptive processing as a whole. In turn, preclinical studies can systematically determine the roles of individual nodes and their molecular underpinnings in a given network, potentially suggesting new therapeutic targets and directions. As interoceptive processing drives and influences motivation, emotion, and subsequent behavior, consideration of interoception is important for our understanding of processes that drive ongoing drinking and relapse.
Collapse
|
5
|
Lew BJ, Salimian A, Wilson TW. Occipital neural dynamics in cannabis and alcohol use: independent effects of addiction. Sci Rep 2021; 11:22258. [PMID: 34782632 PMCID: PMC8593162 DOI: 10.1038/s41598-021-01493-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Accepted: 10/28/2021] [Indexed: 11/15/2022] Open
Abstract
Alcohol and cannabis use disorder (AUD/CUD) are two of the most common addictive disorders. While studies are beginning to understand the neural changes related to acute and chronic use, few studies have examined the independent effects of AUD and CUD on neural oscillatory activity. We examined 45 adults who reported current use of both cannabis and alcohol. Participants underwent the SCID-V to determine whether they met criteria for AUD and/or CUD. Participants also completed a visual-spatial processing task while undergoing magnetoencephalography (MEG). ANCOVA with a 2 × 2 design was then used to identify the main effects of AUD and CUD on source-level oscillatory activity. Of the 45 adults, 17 met criteria for AUD, and 26 met criteria for CUD. All participants, including comparison groups, reported use of both cannabis and alcohol. Statistical analyses showed a main effect of AUD, such that participants with AUD displayed a blunted occipital alpha (8-16 Hz) response. Post-hoc testing showed this decreased alpha response was related to increased AUD symptoms, above and beyond amount of use. No effects of AUD or CUD were identified in visual theta or gamma activity. In conclusion, AUD was associated with reduced alpha responses and scaled with increasing severity, independent of CUD. These findings indicate that alpha oscillatory activity may play an integral part in networks affected by alcohol addiction.
Collapse
Affiliation(s)
- Brandon J Lew
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Drive, Boys Town, NE, 68010, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Anabel Salimian
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Drive, Boys Town, NE, 68010, USA
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Tony W Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, 378 Bucher Drive, Boys Town, NE, 68010, USA.
- College of Medicine, University of Nebraska Medical Center, Omaha, NE, USA.
| |
Collapse
|
6
|
Li G, Chen Y, Tang X, Li CSR. Alcohol use severity and the neural correlates of the effects of sleep disturbance on sustained visual attention. J Psychiatr Res 2021; 142:302-311. [PMID: 34416549 PMCID: PMC8429210 DOI: 10.1016/j.jpsychires.2021.08.018] [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: 05/15/2021] [Revised: 07/21/2021] [Accepted: 08/15/2021] [Indexed: 01/09/2023]
Abstract
Alcohol misuse is associated with sleep disturbance and cognitive dysfunction. However, the neural processes inter-relating the severity of alcohol use, sleep disturbance and cognitive performance remain under-investigated. We addressed this issue with a dataset of 964 subjects (504 women) curated from the Human Connectome Project. Participants were assessed with the Pittsburgh Sleep Quality Index (PSQI) and fMRI while identifying relational dimension pictures and matching dimension pictures (as a control) in alternating blocks. Imaging data were analyzed with published routines and the results were evaluated at a corrected threshold. Subjects showed lower accuracy rate and longer reaction time (RT) in relational than control blocks. The difference in RT between the two blocks (RTRel-Con) was driven primarily by the RT and correlated positively with performance accuracy of relational trials, suggesting that a more cautious response (i.e., longer RTRel-Con) improved accuracy. The severity of alcohol use, identified from principal component analysis of drinking metrics, was positively correlated with sleep disturbance. Further, whole-brain regression identified activity of the superior colliculus (SC) during relational vs. control blocks in positive and negative correlation with RTRel-Con and PSQI score, respectively. Mediation and path analyses demonstrated a significant model: more severe alcohol use → greater sleep disturbance → diminished SC activity → impaired performance. These findings support the influences of alcohol misuse on sleep and suggest neural correlates that mediate the relationship between sleep disturbance and altered sustained attention in young adults.
Collapse
Affiliation(s)
- Guangfei Li
- Department of Biomedical engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China,Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Yu Chen
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Xiaoying Tang
- Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
| | - Chiang-Shan R. Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT,Department of Neuroscience, Yale University School of Medicine, New Haven, CT,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT,Address correspondence to: C.-S. Ray Li, Connecticut Mental Health Center S112, 34 Park Street, New Haven, CT 06519-1109, U.S.A. Phone: +1 203-974-7354, or Xiaoying Tang, 815-2 Teaching Building No.5, Beijing Institute of technology, 5 South Zhongguancun Road, Haidian District, Beijing 100081, China Phone: +86 010-68915998,
| |
Collapse
|
7
|
Altered functional connectivity of the dorsal attention network among problematic social network users. Addict Behav 2021; 116:106823. [PMID: 33460991 DOI: 10.1016/j.addbeh.2021.106823] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/01/2020] [Accepted: 01/05/2021] [Indexed: 12/28/2022]
Abstract
Many smartphone users spend excessive amounts of time online and cannot control their behavior, and the addictive overuse of social-networking services has been shown to be associated with diminished executive control. Attentional control is a cognitive process crucial to exerting executive functions. The purpose of this study was to investigate functional connectivity (FC) characteristics of attention networks in problematic social-network users. We performed seed-based resting-state FC analyses for 29 males and 10 females with excessive social network use and 32 healthy males and 17 healthy females. The right intraparietal sulcus and frontal eye fields were considered seeds of the dorsal attention network (DAN), and the right temporoparietal junction and ventral frontal cortex were considered seeds of the ventral attention network (VAN). Clinical characteristics predictive of FC findings in problematic social network users were identified through hierarchical multiple regression analysis. In FC analysis with DAN seeds, FC between the right intraparietal sulcus and the right middle occipital gyrus was stronger in problematic social network users than in controls, and FC between the right frontal eye field and the right dorsolateral prefrontal cortex was weaker than that in controls. There was no significant difference between the groups in FC analysis with VAN seeds. Hierarchical regression analyses showed that usage times on social networking platforms significantly predicted the negative effects on the strength of FC between the intraparietal sulcus and the dorsolateral prefrontal cortex. These findings indicated that problematic social network use reflects changes in the neural circuits underlying attentional control. Weaking of prefrontal control for attention networks would have a significant impact on failure to control one's time spent on social networks.
Collapse
|
8
|
Zhang R, Tomasi D, Shokri-Kojori E, Wiers CE, Wang GJ, Volkow ND. Sleep inconsistency between weekends and weekdays is associated with changes in brain function during task and rest. Sleep 2021; 43:5825065. [PMID: 32333599 DOI: 10.1093/sleep/zsaa076] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 04/02/2020] [Indexed: 01/21/2023] Open
Abstract
STUDY OBJECTIVES Sleep deprivation and circadian disruptions impair brain function and cognitive performance, but few studies have examined the effect of sleep inconsistency. Here, we investigated how inconsistent sleep duration and sleep timing between weekends (WE) and weekdays (WD) correlated with changes in behavior and brain function during task and at rest in 56 (30 female) healthy human participants. METHODS WE-WD differences in sleep duration and sleep midpoint were calculated using 1-week actigraphy data. All participants underwent 3 Tesla blood-oxygen-level-dependent functional Magnetic Resonance Imaging (fMRI) to measure brain activity during a visual attention task (VAT) and in resting-state condition. RESULTS We found that WE-WD inconsistency of sleep duration and sleep midpoint were uncorrelated with each other (r = .08, p = .58) and influenced behavior and brain function differently. Our healthy participants showed relatively small WE-WD differences (WE-WD: 0.59 hours). Longer WE sleep duration (relative to WD sleep duration) was associated with better attentional performance (3-ball: β = .30, t = 2.35, p = .023; 4-ball: β = .30, t = 2.21, p = .032) and greater deactivation of the default mode network (DMN) during VAT (p < .05, cluster-corrected) and greater resting-state functional connectivity (RSFC) between anterior DMN and occipital cortex (p < .01, cluster-corrected). In contrast, later WE sleep timing (relative to WD sleep timing) (WE-WD: 1.11 hours) was associated with worse performance (4-ball: β = -.33, t = -2.42, p = .020) and with lower occipital activation during VAT and with lower RSFC within the DMN. CONCLUSIONS Our results document the importance of consistent sleep timing for brain function in particular of the DMN and provide evidence of the benefits of WE catch-up sleep in healthy adults.
Collapse
Affiliation(s)
- Rui Zhang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Corinde E Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD.,National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD
| |
Collapse
|
9
|
Wiers CE, Vendruscolo LF, van der Veen JW, Manza P, Shokri-Kojori E, Kroll DS, Feldman DE, McPherson KL, Biesecker CL, Zhang R, Herman K, Elvig SK, Vendruscolo JCM, Turner SA, Yang S, Schwandt M, Tomasi D, Cervenka MC, Fink-Jensen A, Benveniste H, Diazgranados N, Wang GJ, Koob GF, Volkow ND. Ketogenic diet reduces alcohol withdrawal symptoms in humans and alcohol intake in rodents. SCIENCE ADVANCES 2021; 7:7/15/eabf6780. [PMID: 33837086 PMCID: PMC8034849 DOI: 10.1126/sciadv.abf6780] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 02/19/2021] [Indexed: 05/15/2023]
Abstract
Individuals with alcohol use disorder (AUD) show elevated brain metabolism of acetate at the expense of glucose. We hypothesized that a shift in energy substrates during withdrawal may contribute to withdrawal severity and neurotoxicity in AUD and that a ketogenic diet (KD) may mitigate these effects. We found that inpatients with AUD randomized to receive KD (n = 19) required fewer benzodiazepines during the first week of detoxification, in comparison to those receiving a standard American (SA) diet (n = 14). Over a 3-week treatment, KD compared to SA showed lower "wanting" and increased dorsal anterior cingulate cortex (dACC) reactivity to alcohol cues and altered dACC bioenergetics (i.e., elevated ketones and glutamate and lower neuroinflammatory markers). In a rat model of alcohol dependence, a history of KD reduced alcohol consumption. We provide clinical and preclinical evidence for beneficial effects of KD on managing alcohol withdrawal and on reducing alcohol drinking.
Collapse
Affiliation(s)
- Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA 19104, USA
| | | | | | - Peter Manza
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | | | - Danielle S Kroll
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dana E Feldman
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | | | | | - Rui Zhang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Kimberly Herman
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Sophie K Elvig
- National Institute on Drug Abuse, Baltimore, MD 21224, USA
| | | | - Sara A Turner
- Clinical Center Nutrition Department, National Institutes of Health, Bethesda, MD 20892, USA
| | - Shanna Yang
- Clinical Center Nutrition Department, National Institutes of Health, Bethesda, MD 20892, USA
| | - Melanie Schwandt
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Dardo Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | | | - Anders Fink-Jensen
- Psychiatric Centre Copenhagen, University Hospital of Copenhagen, Copenhagen, Denmark
| | - Helene Benveniste
- Department of Anesthesiology, Yale University, New Haven, CT 06519, USA
| | - Nancy Diazgranados
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - George F Koob
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
- National Institute on Drug Abuse, Baltimore, MD 21224, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA.
- National Institute on Drug Abuse, Baltimore, MD 21224, USA
| |
Collapse
|
10
|
Creupelandt C, D'Hondt F, Maurage P. Neural correlates of visuoperceptive changes in severe alcohol use disorder: A critical review of neuroimaging and electrophysiological findings. J Neurosci Res 2021; 99:1253-1275. [PMID: 33550638 DOI: 10.1002/jnr.24799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 01/04/2021] [Accepted: 01/06/2021] [Indexed: 01/04/2023]
Abstract
Visuoperceptive deficits are frequently reported in severe alcohol use disorder (SAUD) and are considered as pervasive and persistent in time. While this topic of investigation has previously driven researchers' interest, far fewer studies have focused on visuoperception in SAUD since the '90s, leaving open central questions regarding the origin and implications of these deficits. To renew research in the field and provide a solid background to work upon, this paper reviews the neural correlates of visuoperception in SAUD, based on data from neuroimaging and electrophysiological studies. Results reveal structural and functional changes within the visual system but also in the connections between occipital and frontal areas. We highlight the lack of integration of these findings in the dominant models of vision which stress the dynamic nature of the visual system and consider the presence of both bottom-up and top-down cerebral mechanisms. Visuoperceptive changes are also discussed in the framework of long-lasting debates regarding the influence of demographic and alcohol-related factors, together stressing the presence of inter-individual differences. Capitalizing on this review, we provide guidelines to inform future research, and ultimately improve clinical care.
Collapse
Affiliation(s)
- Coralie Creupelandt
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
| | - Fabien D'Hondt
- Univ. Lille, Inserm, CHU Lille, U1172 - LilNCog - Lille Neuroscience & Cognition, Lille, France.,CHU Lille, Clinique de Psychiatrie, CURE, Lille, France.,Centre National de Ressources et de Résilience Lille-Paris (CN2R), Lille, France
| | - Pierre Maurage
- Louvain Experimental Psychopathology Research Group (UCLEP), Faculté de Psychologie, Psychological Sciences Research Institute (IPSY), UCLouvain, Louvain-la-Neuve, Belgium
| |
Collapse
|
11
|
Yang X, Meng YJ, Tao YJ, Deng RH, Wang HY, Li XJ, Wei W, Hua Y, Wang Q, Deng W, Zhao LS, Ma XH, Li ML, Xu JJ, Li J, Liu YS, Tang Z, Du XD, Coid JW, Greenshaw AJ, Li T, Guo WJ. Functional Connectivity of Nucleus Accumbens and Medial Prefrontal Cortex With Other Brain Regions During Early-Abstinence Is Associated With Alcohol Dependence and Relapse: A Resting-Functional Magnetic Resonance Imaging Study. Front Psychiatry 2021; 12:609458. [PMID: 33584384 PMCID: PMC7876376 DOI: 10.3389/fpsyt.2021.609458] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/04/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Alcohol dependence (AD) is a chronic recurrent brain disease that causes a heavy disease burden worldwide, partly due to high relapse rates after detoxification. Verified biomarkers are not available for AD and its relapse, although the nucleus accumbens (NAc) and medial prefrontal cortex (mPFC) may play important roles in the mechanism of addiction. This study investigated AD- and relapse-associated functional connectivity (FC) of the NAc and mPFC with other brain regions during early abstinence. Methods: Sixty-eight hospitalized early-abstinence AD male patients and 68 age- and education-matched healthy controls (HCs) underwent resting-functional magnetic resonance imaging (r-fMRI). Using the NAc and mPFC as seeds, we calculated changes in FC between the seeds and other brain regions. Over a follow-up period of 6 months, patients were measured with the Alcohol Use Disorder Identification Test (AUDIT) scale to identify relapse outcomes (AUDIT ≥ 8). Results: Thirty-five (52.24%) of the AD patients relapsed during the follow-up period. AD displayed lower FC of the left fusiform, bilateral temporal superior and right postcentral regions with the NAc and lower FC of the right temporal inferior, bilateral temporal superior, and left cingulate anterior regions with the mPFC compared to controls. Among these FC changes, lower FC between the NAc and left fusiform, lower FC between the mPFC and left cingulate anterior cortex, and smoking status were independently associated with AD. Subjects in relapse exhibited lower FC of the right cingulate anterior cortex with NAc and of the left calcarine sulcus with mPFC compared to non-relapsed subjects; both of these reductions in FC independently predicted relapse. Additionally, FC between the mPFC and right frontal superior gyrus, as well as years of education, independently predicted relapse severity. Conclusion: This study found that values of FC between selected seeds (i.e., the NAc and the mPFC) and some other reward- and/or impulse-control-related brain regions were associated with AD and relapse; these FC values could be potential biomarkers of AD or for prediction of relapse. These findings may help to guide further research on the neurobiology of AD and other addictive disorders.
Collapse
Affiliation(s)
- Xia Yang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Ya-Jing Meng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Yu-Jie Tao
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Ren-Hao Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Hui-Yao Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao-Jing Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Wei
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Yu Hua
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Lian-Sheng Zhao
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao-Hong Ma
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Ming-Li Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Jia-Jun Xu
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Jing Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | - Yan-Song Liu
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Zhen Tang
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Xiang-Dong Du
- Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Jeremy W Coid
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| | | | - Tao Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China.,Center for Educational and Health Psychology, Sichuan University, Chengdu, China
| | - Wan-Jun Guo
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
| |
Collapse
|
12
|
Wiers CE, Cunningham SI, Tomasi DG, Ernst T, Chang L, Shokri-Kojori E, Wang GJ, Volkow ND. Elevated thalamic glutamate levels and reduced water diffusivity in alcohol use disorder: Association with impulsivity. Psychiatry Res Neuroimaging 2020; 305:111185. [PMID: 32957041 PMCID: PMC9347183 DOI: 10.1016/j.pscychresns.2020.111185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 09/08/2020] [Accepted: 09/09/2020] [Indexed: 12/31/2022]
Abstract
Alcohol induces neuroinflammation but its role in cognitive impairment and impulsivity in alcohol use disorder (AUD) has been poorly investigated. We used proton magnetic resonance spectroscopy to measure brain glutamate (Glu) levels and diffusion-weighted imaging to measure functional anisotropy (FA) in the thalamus and ventral anterior cingulate cortex (vACC) in 15 recently detoxified patients with AUD and 14 matched controls. Compared to controls, AUD patients showed higher Glu levels (p = 0.04) and lower FA in the thalamus (p = 0.04) but not in the vACC. In AUD, thalamic Glu levels (r = 0.62, p = 0.019) and FA (r=-0.55, p = 0.034) were associated with severity of drinking (drinks/week). Compared to controls, AUD patients showed higher scores on Conners' Adult ADHD Rating Scale for impulsivity (p = 0.03), which correlated with glutamate levels in the thalamus (r = 0.58, p = 0.03) and vACC (r = 0.55, p = 0.036). In a second cohort of AUD patients (n = 32), Glu in dorsal ACC (dACC) also correlated with Barrett Impulsiveness Scale total score (r = 0.43, p = 0.014). We interpret the elevated thalamic Glu levels and the parallel reduction in FA in AUD-which correlated with drinking severity-as possible evidence of neurotoxicity from neuroinflammation. The association of Glu with impulsivity suggests that neurotoxic effects of chronic alcohol exposure in the thalamus and dACC may contribute to impulsivity.
Collapse
Affiliation(s)
- Corinde E Wiers
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
| | | | - Dardo G Tomasi
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD. USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA; Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD. USA; Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | - Gene-Jack Wang
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA; National Institute on Drug Abuse, Bethesda, MD, USA.
| |
Collapse
|
13
|
Cheng F, Cui S, Zhang C, Zhang L, Wang L, Yuan Q, Huang C, Zhang K, Zhou X. Association Between Cognitive Function and Early Life Experiences in Patients with Alcohol Use Disorder. Front Psychiatry 2020; 11:792. [PMID: 32903659 PMCID: PMC7438706 DOI: 10.3389/fpsyt.2020.00792] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 07/23/2020] [Indexed: 01/10/2023] Open
Abstract
INTRODUCTION Early life experiences could be potential risk factors for the development of alcohol use disorder. In similar circumstances, it might also influence cognitive impairment in later life. However, the relationship between early life experience and cognitive function in people with alcohol use disorders is unclear. The current study examined the effects of early social environments and experiences on cognitive function in patients with alcohol use disorder. METHODS A total of 37 adult male patients with alcohol use disorder and 30 healthy control (HC) subjects were enrolled. The MATRICS Cognitive Consensus Battery (MCCB) was used to evaluate cognitive function. The Childhood Trauma Questionnaire (CTQ) and the Revised Adult Attachment Scale (RAAS) were used to evaluate early life experiences of the participants. The RAAS was used to evaluate the attachment patterns of participants. RESULTS Compared with the HC group, the alcohol use disorder group reported higher levels of childhood abuse and were more likely to form an insecure attachment style. Patients with alcohol use disorder who experienced trauma performed worse in terms of discrete cognitive parameters such as social cognition, reasoning and problem solving compared to patients without trauma. Importantly, emotional neglect and social comfort were significantly associated with individual social cognitive skills. CONCLUSIONS Our results suggest that the cognitive function of patients with alcohol use disorder, especially social cognitive function, is affected by early life experiences.
Collapse
Affiliation(s)
- Fangshuo Cheng
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Shu Cui
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Chao Zhang
- Department of Pediatrics, Fuyang People's Hospital, Fuyang, China
| | - Ling Zhang
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Lei Wang
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Qiuyu Yuan
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Cui Huang
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Kai Zhang
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| | - Xiaoqin Zhou
- Department of Psychiatry, Chaohu Hospital, Anhui Medical University, Hefei, China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, China
| |
Collapse
|
14
|
Verplaetse TL, Cosgrove KP, Tanabe J, McKee SA. Sex/gender differences in brain function and structure in alcohol use: A narrative review of neuroimaging findings over the last 10 years. J Neurosci Res 2020; 99:309-323. [PMID: 32333417 DOI: 10.1002/jnr.24625] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 03/03/2020] [Accepted: 03/18/2020] [Indexed: 12/22/2022]
Abstract
Over the last 10 years, rates of alcohol use disorder (AUD) have increased in women by 84% relative to a 35% increase in men. Rates of alcohol use and high-risk drinking have also increased in women by 16% and 58% relative to a 7% and 16% increase in men, respectively, over the last decade. This robust increase in drinking among women highlights the critical need to identify the underlying neural mechanisms that may contribute to problematic alcohol consumption across sex/gender (SG), especially given that many neuroimaging studies are underpowered to detect main or interactive effects of SG on imaging outcomes. This narrative review aims to explore the recent neuroimaging literature on SG differences in brain function and structure as it pertains to alcohol across positron emission tomography, magnetic resonance imaging, and functional magnetic resonance imaging modalities in humans. Additional work using magnetic resonance spectroscopy, diffusion tensor imaging, and event-related potentials to examine SG differences in AUD will be covered. Overall, current research on the neuroimaging of AUD, alcohol consumption, or risk of AUD is limited, and findings are mixed regarding the effect of SG on neurochemical, structural, and functional mechanisms associated with AUD. We address SG disparities in the neuroimaging of AUD and propose a call to action to include women in brain imaging research. Future studies are crucial to our understanding of the neurobiological underpinnings of AUD across neural systems and the vulnerability for AUD among women and men.
Collapse
Affiliation(s)
| | - Kelly P Cosgrove
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale PET Center, New Haven, CT, USA
| | - Jody Tanabe
- Department of Radiology, University of Colorado Anschutz Medical Center, Aurora, CO, USA
| | - Sherry A McKee
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| |
Collapse
|
15
|
Suzuki S, Mell MM, O'Malley SS, Krystal JH, Anticevic A, Kober H. Regulation of Craving and Negative Emotion in Alcohol Use Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 5:239-250. [PMID: 31892465 DOI: 10.1016/j.bpsc.2019.10.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 10/01/2019] [Accepted: 10/02/2019] [Indexed: 12/13/2022]
Abstract
BACKGROUND Alcohol use disorder (AUD) is a chronic, relapsing condition with poor treatment outcomes. Both alcohol craving and negative affect increase alcohol drinking, and-in healthy adults-can be attenuated using cognitive strategies, which rely on the prefrontal cortex (PFC). However, AUD is associated with cognitive impairments and PFC disruptions. Thus, we tested whether individuals with AUD can successfully recruit the PFC to effectively regulate craving and negative emotions, whether neural mechanisms are shared between the two types of regulation, and whether individual differences influence regulation success. METHODS During functional magnetic resonance imaging, participants with AUD completed the regulation of craving task (n = 17) that compares a cue-induced craving condition with an instructed regulation condition. They also completed the emotion regulation task (n = 15) that compares a negative affect condition with an instructed regulation condition. Regulation strategies were drawn from cognitive behavioral therapy treatments for AUD. Self-reported craving and negative affect were collected on each trial. RESULTS Individuals with AUD effectively regulated their craving and negative affect when instructed to do so using cognitive behavioral therapy-based strategies. Regulation was associated with recruitment of both common and distinct PFC regions across tasks, as well as with reduced activity in regions associated with craving and negative affect (e.g., ventral striatum, amygdala). Effective regulation of craving was associated with negative alcohol expectancies. CONCLUSIONS Both common and distinct regulatory systems underlie regulation of craving and negative emotions in AUD, with notable individual differences. This has important implications for AUD treatment.
Collapse
Affiliation(s)
- Shosuke Suzuki
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Maggie Mae Mell
- Department of Neuroscience, Medical University of South Carolina, Charleston, South Carolina
| | - Stephanie S O'Malley
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - John H Krystal
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Alan Anticevic
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Hedy Kober
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut.
| |
Collapse
|