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Paraskevopoulou M, Rooij D, Schene AH, Batalla A, Chauvin RJ, Buitelaar JK, Schellekens AFA. Effects of family history of substance use disorder on reward processing in adolescents with and without attention-deficit/hyperactivity disorder. Addict Biol 2022; 27:e13137. [PMID: 35229951 PMCID: PMC9285350 DOI: 10.1111/adb.13137] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 12/08/2021] [Accepted: 12/17/2021] [Indexed: 12/19/2022]
Abstract
Patients with attention‐deficit/hyperactivity disorder (ADHD) often develop early onset substance use disorder (SUD) and show poor treatment outcomes. Both disorders show similar reward‐processing alterations, but it is unclear whether these are associated with familial vulnerability to SUD. Our aim was to investigate effects of family history of SUD (FH) on reward processing in individuals with and without ADHD, without substance misuse. Behavioural and functional magnetic resonance imaging (fMRI) data from a modified monetary incentive delay task were compared between participants with and without FH (FH positive [FH+]: n = 76 and FH negative [FH−]: n = 69; 76 with ADHD, aged 16.74 ± 3.14, 82 males), while accounting for continuous ADHD scores. The main analysis showed distinct positive association between ADHD scores and reaction times during neutral versus reward condition. ADHD scores were also positively associated with anticipatory responses of dorsolateral prefrontal cortex, independent of FH. There were no main FH effects on brain activation. Yet, FH+ participants showed distinct neural alterations in ventrolateral prefrontal cortex (VLPFC), dependent on ADHD. This was driven by positive association between ADHD scores and VLPFC activation during reward outcome, only in FH+. Sensitivity analysis with stricter SUD index showed hyperactivation of anterior cingulate cortex for FH+, independent of ADHD, during reward anticipation. There were no FH or ADHD effects on activation of ventral striatum in any analysis. Findings suggest both FH and ADHD effects in circuits of reward and attention/memory during reward processing. Future studies should examine whether these relate to early substance use initiation in ADHD and explore the need for adjusted SUD prevention strategies.
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Affiliation(s)
- Maria Paraskevopoulou
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center Nijmegen The Netherlands
| | - Daan Rooij
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
| | - Aart H. Schene
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center Nijmegen The Netherlands
| | - Albert Batalla
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht Utrecht University Utrecht The Netherlands
| | - Roselyne J. Chauvin
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen The Netherlands
| | - Jan K. Buitelaar
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition, and Behaviour Radboud University Medical Centre Nijmegen The Netherlands
- Karakter Child and Adolescent Psychiatry University Centre Nijmegen The Netherlands
| | - Arnt F. A. Schellekens
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour Radboud University Medical Center Nijmegen The Netherlands
- Nijmegen Institute for Scientist Practitioners in Addiction Nijmegen The Netherlands
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2
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El Archi S, Brunault P, De Luca A, Cortese S, Hankard R, Bourbao-Tournois C, Ballon N, Réveillère C, Barrault S. Do Emotion Dysregulation, Alexithymia and Personality Dimensions Explain the Association Between Attention-Deficit/Hyperactivity Disorder and Binge Eating Among Bariatric Surgery Candidates? Front Psychol 2021; 12:745857. [PMID: 34867628 PMCID: PMC8641657 DOI: 10.3389/fpsyg.2021.745857] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/27/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Addictive-like eating and attention-deficit/hyperactivity disorder (ADHD) are both common among persons seeking treatment for severe obesity. Given that ADHD and addictive-like eating, especially binge eating (BE) and food addiction (FA), are both strongly associated with personality dimensions and emotion dysregulation, it is possible emotional and personality characteristics contribute to the link between addictive-like eating behaviors and ADHD in people with severe obesity. This study aimed to investigate the psychological factors associated with BE and FA in bariatric surgery candidates, and to explore the mediational role of emotional factors (emotion dysregulation and alexithymia) and personality dimensions in the association between ADHD and BE. Method: Two hundred and eighty-two (n = 282) bariatric surgery candidates were recruited during the systematic preoperative psychiatric assessment (University Hospital of Tours, France). We assessed significant BE (Binge Eating Scale), probable adult ADHD (Wender Utah Render Scale and Adult ADHD Self-Report Scale), FA (Yale Food Addiction Scale 2.0, YFAS 2.0), emotion dysregulation (Difficulties in Emotion Regulation Scale-16), alexithymia (Toronto Alexithymia Scale-20) and personality dimensions (Big Five Inventory). Mediation analyses were performed using the PROCESS macro for IBM SPSS Statistics 22. Results: Prevalence of probable adult ADHD, significant BE and FA were 8.2, 19.1, and 26.6%, respectively. Participants who screened positive for addictive-like eating showed higher prevalence of probable adult ADHD, as well as higher scores on adult and childhood ADHD symptoms. They also reported lower conscientiousness, but higher emotion dysregulation, higher alexithymia, and higher neuroticism. Only BE (as opposed to FA) was also associated with lower scores on agreeableness and openness. Analysis of the association between adult ADHD and BE suggests that emotion dysregulation, conscientiousness, agreeableness, and neuroticism are total mediators and alexithymia a partial mediator. Conclusion: Our findings suggest a significant association between ADHD and addictive-like eating among bariatric surgery candidates, and also suggest a significant role of emotion dysregulation and personality dimensions in this association. For individuals with ADHD and obesity, eating may be a way to cope with negative emotions, potentially increasing the risk for addictive-like eating behavior.
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Affiliation(s)
| | - Paul Brunault
- Qualipsy, EE 1901, Université de Tours, Tours, France.,CHRU de Tours, Service d'Addictologie Universitaire, Équipe de Liaison et de Soins en Addictologie, Tours, France.,INSERM U1253 Imagerie et Cerveau (iBrain), Tours, France
| | - Arnaud De Luca
- CHRU de Tours, Centre Spécialisé de l'Obésité, Tours, France.,Inserm U1069 Université de Tours, Tours, France
| | - Samuele Cortese
- Academic Unit of Psychology, Center for Innovation in Mental Health, University of Southampton, Southampton, United Kingdom.,Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,Solent NHS Trust, Southampton, United Kingdom.,Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, United States.,Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, United Kingdom
| | - Régis Hankard
- CHRU de Tours, Centre Spécialisé de l'Obésité, Tours, France.,Inserm U1069 Université de Tours, Tours, France
| | | | - Nicolas Ballon
- CHRU de Tours, Service d'Addictologie Universitaire, Équipe de Liaison et de Soins en Addictologie, Tours, France.,INSERM U1253 Imagerie et Cerveau (iBrain), Tours, France
| | | | - Servane Barrault
- Qualipsy, EE 1901, Université de Tours, Tours, France.,CHRU de Tours, Service d'Addictologie Universitaire, Centre de Soins d'Accompagnement et de Prévention en Addictologie d'Indre-et-Loire (CSAPA-37), Tours, France.,Laboratoire de Psychopathologie et Processus de Santé, Université Paris Descartes, Paris, France
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3
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Baranger DAA, Lindenmuth M, Nance M, Guyer AE, Keenan K, Hipwell AE, Shaw DS, Forbes EE. The longitudinal stability of fMRI activation during reward processing in adolescents and young adults. Neuroimage 2021; 232:117872. [PMID: 33609668 PMCID: PMC8238413 DOI: 10.1016/j.neuroimage.2021.117872] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 02/12/2021] [Accepted: 02/13/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND The use of functional neuroimaging has been an extremely fruitful avenue for investigating the neural basis of human reward function. This approach has included identification of potential neurobiological mechanisms of psychiatric disease and examination of environmental, experiential, and biological factors that may contribute to disease risk via effects on the reward system. However, a central and largely unexamined assumption of much of this research is that neural reward function is an individual difference characteristic that is relatively stable and trait-like over time. METHODS In two independent samples of adolescents and young adults studied longitudinally (Ns = 145 & 139, 100% female and 100% male, ages 15-21 and 20-22, 2-4 scans and 2 scans respectively), we tested within-person stability of reward-task BOLD activation, with a median of 1 and 2 years between scans. We examined multiple commonly used contrasts of active states and baseline in both the anticipation and feedback phases of a card-guessing reward task. We examined the effects of cortical parcellation resolution, contrast, network (reward regions and resting-state networks), region-size, and activation strength and variability on the stability of reward-related activation. RESULTS In both samples, contrasts of an active state relative to a baseline were more stable (ICC: intra-class correlation; e.g., Win>Baseline; mean ICC = 0.13 - 0.33) than contrasts of two active states (e.g., Win>Loss; mean ICC = 0.048 - 0.05). Additionally, activation in reward regions was less stable than in many non-task networks (e.g., dorsal attention), and activation in regions with greater between-subject variability showed higher stability in both samples. CONCLUSIONS These results show that some contrasts from functional neuroimaging activation during a card guessing reward task have partially trait-like properties in adolescent and young adult samples over 1-2 years. Notably, results suggest that contrasts intended to map cognitive function and show robust group-level effects (i.e. Win > Loss) may be less effective in studies of individual differences and disease risk. The robustness of group-level activation should be weighed against other factors when selecting regions of interest in individual difference fMRI studies.
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Affiliation(s)
- David A A Baranger
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States.
| | - Morgan Lindenmuth
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Melissa Nance
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Amanda E Guyer
- Center for Mind and Brain, University of California Davis, Davis, CA, United States; Department of Human Ecology, University of California Davis, Davis, CA, United States
| | - Kate Keenan
- University of Chicago, Department of Psychiatry and Behavioral Neuroscience, Chicago, IL, United States
| | - Alison E Hipwell
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States
| | - Daniel S Shaw
- University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
| | - Erika E Forbes
- University of Pittsburgh School of Medicine, Department of Psychiatry, 121 Meyran Avenue, Pittsburgh, PA 15213, United States; University of Pittsburgh, Department of Psychology, Pittsburgh, PA, United States
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Vuijk PJ, Martin J, Braaten EB, Genovese G, Capawana MR, O’Keefe SM, Lee BA, Lind HS, Smoller JW, Faraone SV, Perlis RH, Doyle AE. Translating Discoveries in Attention-Deficit/Hyperactivity Disorder Genomics to an Outpatient Child and Adolescent Psychiatric Cohort. J Am Acad Child Adolesc Psychiatry 2020; 59:964-977. [PMID: 31421235 PMCID: PMC7408479 DOI: 10.1016/j.jaac.2019.08.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 05/29/2019] [Accepted: 08/08/2019] [Indexed: 01/10/2023]
Abstract
OBJECTIVE Genomic discoveries should be investigated in generalizable child psychiatric samples in order to justify and inform studies that will evaluate their use for specific clinical purposes. In youth consecutively referred for neuropsychiatric evaluation, we examined 1) the convergent and discriminant validity of attention-deficit/hyperactivity disorder (ADHD) polygenic risk scores (PRSs) in relation to DSM-based ADHD phenotypes; 2) the association of ADHD PRSs with phenotypes beyond ADHD that share its liability and have implications for outcome; and 3) the extent to which youth with high ADHD PRSs manifest a distinctive clinical profile. METHOD Participants were 433 youth, ages 7-18 years, from the Longitudinal Study of Genetic Influences on Cognition. We used logistic/linear regression and mixed effects models to examine associations with ADHD-related polygenic variation from the largest ADHD genome-wide association study to date. We replicated key findings in 5,140 adult patients from a local health system biobank. RESULTS Among referred youth, ADHD PRSs were associated with ADHD diagnoses, cross-diagnostic ADHD symptoms and academic impairment (odds ratios ∼1.4; R2 values ∼2%-3%), as well as cross-diagnostic variation in aggression and working memory. In adults, ADHD PRSs were associated with ADHD and phenotypes beyond the condition that have public health implications. Finally, youth with a high ADHD polygenic burden showed a more severe clinical profile than youth with a low burden (β coefficients ∼.2). CONCLUSION Among child and adolescent outpatients, ADHD polygenic risk was associated with ADHD and related phenotypes as well as clinical severity. These results extend the scientific foundation for studies of ADHD polygenic risk in the clinical setting and highlight directions for further research.
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Affiliation(s)
- Pieter J. Vuijk
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Ellen B. Braaten
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - Giulio Genovese
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA
| | - Michael R. Capawana
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - Sheila M. O’Keefe
- Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | - B. Andi Lee
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Hannah S. Lind
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Jordan W. Smoller
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston
| | | | - Roy H. Perlis
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston,Center for Experimental Drugs and Diagnostics, Massachusetts General Hospital, Boston
| | - Alysa E. Doyle
- Center for Genomic Medicine, Massachusetts General Hospital, Boston,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA,Massachusetts General Hospital and Harvard Medical School, Massachusetts General Hospital, Boston,Correspondence to Alysa E. Doyle, PhD, Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge Street, CPZN 6240, Boston, MA 02114
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5
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Swartz JR, Weissman DG, Ferrer E, Beard SJ, Fassbender C, Robins RW, Hastings PD, Guyer AE. Reward-Related Brain Activity Prospectively Predicts Increases in Alcohol Use in Adolescents. J Am Acad Child Adolesc Psychiatry 2020; 59:391-400. [PMID: 31173884 PMCID: PMC6891148 DOI: 10.1016/j.jaac.2019.05.022] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 04/18/2019] [Accepted: 05/17/2019] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Altered activity within reward-related neural regions, including the ventral striatum (VS) and medial prefrontal cortex (mPFC), is associated with concurrent problematic substance use. The aims of the present study were (a) to identify patterns of reward-related neural activity that prospectively predicted changes in alcohol use 2 years after magnetic resonance imaging in a sample of adolescents, and (b) to examine whether these patterns differed by sex. We also tested whether depression symptoms or impulsivity mediated associations between neural activity and future alcohol use. METHOD Participants were 262 adolescents (129 male and 133 female) of Mexican origin who completed the Monetary Incentive Delay task during a functional magnetic resonance imaging scan at age 16. Participants reported on their alcohol use at ages 16 and 18. RESULTS Results indicated that different patterns of reward-related neural activity predicted future increases in alcohol use for male and female adolescents. In boys, higher VS activity during reward anticipation and average ventral mPFC activity during reward feedback predicted increases in alcohol use from age 16 to 18 years; in girls, higher dorsal mPFC activity and blunted VS activity during reward anticipation predicted increases in alcohol use from age 16 to 18 years. Depression symptoms or impulsivity did not mediate these associations. CONCLUSION The results suggest that different pathways of risk may lead to problematic alcohol use for adolescent boys and girls. These sex differences in neural risk pathways have important implications for prevention and intervention approaches targeting Mexican-origin youth.
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Affiliation(s)
| | - David G Weissman
- University of California, Davis; Center for Mind and Brain, University of California, Davis
| | | | - Sarah J Beard
- University of California, Davis; Center for Mind and Brain, University of California, Davis
| | | | | | - Paul D Hastings
- University of California, Davis; Center for Mind and Brain, University of California, Davis
| | - Amanda E Guyer
- University of California, Davis; Center for Mind and Brain, University of California, Davis
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6
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Hermosillo RJM, Mooney MA, Fezcko E, Earl E, Marr M, Sturgeon D, Perrone A, Dominguez OM, Faraone SV, Wilmot B, Nigg JT, Fair DA. Polygenic Risk Score-Derived Subcortical Connectivity Mediates Attention-Deficit/Hyperactivity Disorder Diagnosis. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:330-341. [PMID: 32033925 PMCID: PMC7147985 DOI: 10.1016/j.bpsc.2019.11.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 11/07/2019] [Accepted: 11/21/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) has substantial heritability, and a recent large-scale investigation has identified common genome-wide significant loci associated with increased risk for ADHD. Along the same lines, many studies using noninvasive neuroimaging have identified differences in brain functional connectivity in children with ADHD. We attempted to bridge these studies to identify differences in functional connectivity associated with common genetic risk for ADHD using polygenic risk score (PRS). METHODS We computed ADHD PRSs for all participants in our sample (N = 315, children 7-13 years of age, 196 with ADHD and 119 unaffected comparison children) using ADHD data from the Psychiatric Genomics Consortium as a discovery set. Magnetic resonance imaging was used to evaluate resting-state functional connectivity of targeted subcortical structures. RESULTS The functional connectivity between 2 region pairs demonstrated a significant correlation to PRS: right caudate-parietal cortex and nucleus accumbens-occipital cortex. Connectivity between these areas, in addition to being correlated with PRS, was correlated with ADHD status. The connection between the caudate and the parietal region acted as a statistical suppressor, such that when it was included in a path model, the association between PRS and ADHD status was enhanced. CONCLUSIONS Our results suggest that functional connectivity to certain subcortical brain regions is directly altered by genetic variants, and certain cortico-subcortical connections may modulate ADHD-related genetic effects.
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Affiliation(s)
- Robert J M Hermosillo
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon.
| | - Michael A Mooney
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon; Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon
| | - Eric Fezcko
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, Oregon
| | - Eric Earl
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Mollie Marr
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Darrick Sturgeon
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | - Anders Perrone
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon
| | | | - Stephen V Faraone
- Department of Psychiatry, Upstate Medical University, Syracuse, New York; Department of Neuroscience and Physiology, Upstate Medical University, Syracuse, New York
| | - Beth Wilmot
- Division of Bioinformatics & Computational Biology, Oregon Health & Science University, Portland, Oregon; Oregon Clinical and Translational Research Institute, Portland, Oregon
| | - Joel T Nigg
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Division of Psychology, Oregon Health & Science University, Portland, Oregon
| | - Damien A Fair
- Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, Oregon; Department of Psychiatry, and Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon.
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7
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Wetherill L, Lai D, Johnson EC, Anokhin A, Bauer L, Bucholz KK, Dick DM, Hariri AR, Hesselbrock V, Kamarajan C, Kramer J, Kuperman S, Meyers JL, Nurnberger JI, Schuckit M, Scott DM, Taylor RE, Tischfield J, Porjesz B, Goate AM, Edenberg HJ, Foroud T, Bogdan R, Agrawal A. Genome-wide association study identifies loci associated with liability to alcohol and drug dependence that is associated with variability in reward-related ventral striatum activity in African- and European-Americans. GENES, BRAIN, AND BEHAVIOR 2019; 18:e12580. [PMID: 31099175 PMCID: PMC6726116 DOI: 10.1111/gbb.12580] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 04/19/2019] [Accepted: 05/11/2019] [Indexed: 02/07/2023]
Abstract
Genetic influences on alcohol and drug dependence partially overlap, however, specific loci underlying this overlap remain unclear. We conducted a genome-wide association study (GWAS) of a phenotype representing alcohol or illicit drug dependence (ANYDEP) among 7291 European-Americans (EA; 2927 cases) and 3132 African-Americans (AA: 1315 cases) participating in the family-based Collaborative Study on the Genetics of Alcoholism. ANYDEP was heritable (h 2 in EA = 0.60, AA = 0.37). The AA GWAS identified three regions with genome-wide significant (GWS; P < 5E-08) single nucleotide polymorphisms (SNPs) on chromosomes 3 (rs34066662, rs58801820) and 13 (rs75168521, rs78886294), and an insertion-deletion on chromosome 5 (chr5:141988181). No polymorphisms reached GWS in the EA. One GWS region (chromosome 1: rs1890881) emerged from a trans-ancestral meta-analysis (EA + AA) of ANYDEP, and was attributable to alcohol dependence in both samples. Four genes (AA: CRKL, DZIP3, SBK3; EA: P2RX6) and four sets of genes were significantly enriched within biological pathways for hemostasis and signal transduction. GWS signals did not replicate in two independent samples but there was weak evidence for association between rs1890881 and alcohol intake in the UK Biobank. Among 118 AA and 481 EA individuals from the Duke Neurogenetics Study, rs75168521 and rs1890881 genotypes were associated with variability in reward-related ventral striatum activation. This study identified novel loci for substance dependence and provides preliminary evidence that these variants are also associated with individual differences in neural reward reactivity. Gene discovery efforts in non-European samples with distinct patterns of substance use may lead to the identification of novel ancestry-specific genetic markers of risk.
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Affiliation(s)
- Leah Wetherill
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Dongbing Lai
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Emma C. Johnson
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Andrey Anokhin
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Lance Bauer
- University of Connecticut. University of Connecticut School of Medicine, Department of Psychiatry. Farmington, CT
| | - Kathleen K. Bucholz
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
| | - Danielle M. Dick
- Virginia Commonwealth University. Department of Psychology & College Behavioral and Emotional Health Institute, Virginia Commonwealth University. Richmond, VA
| | - Ahmad R. Hariri
- Duke Institute for Brain Sciences, Dept. of Psychology, Duke University, Durham, NC
| | - Victor Hesselbrock
- University of Connecticut. University of Connecticut School of Medicine, Department of Psychiatry. Farmington, CT
| | - Chella Kamarajan
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - John Kramer
- University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry. Iowa City, IA
| | - Samuel Kuperman
- University of Iowa. University of Iowa Roy J and Lucille A Carver College of Medicine, Department of Psychiatry. Iowa City, IA
| | - Jacquelyn L. Meyers
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - John I. Nurnberger
- Indiana University. Department of Psychiatry, Indiana University School of Medicine. Indianapolis, IN
| | - Marc Schuckit
- University of California San Diego. University of California San Diego, Department of Psychiatry. San Diego, CA
| | - Denise M. Scott
- Howard University, Departments of Pediatrics and Human Genetics, Washington, DC
| | | | | | - Bernice Porjesz
- SUNY. Henri Begleiter Neurodynamics Laboratory, Department of Psychiatry and Behavioral Sciences, SUNY Downstate Medical Center. Brooklyn, NY
| | - Alison M. Goate
- Department of Neuroscience, Icahn School of Medicine at Mt. Sinai, New York, NY
| | - Howard J. Edenberg
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
- Indiana University. Department of Biochemistry and Molecular Biology, Indiana University School of Medicine. Indianapolis, IN
| | - Tatiana Foroud
- Indiana University. Department of Medical and Molecular Genetics, Indiana University School of Medicine. Indianapolis, IN
| | - Ryan Bogdan
- Washington University in Saint Louis, Department of Psychological and Brain Sciences, Saint Louis, MO, USA
| | - Arpana Agrawal
- Washington University. Washington University School of Medicine, Department of Psychiatry. Saint Louis, MO. USA
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8
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Lancaster TM, Dimitriadis SL, Tansey KE, Perry G, Ihssen N, Jones DK, Singh KD, Holmans P, Pocklington A, Davey Smith G, Zammit S, Hall J, O’Donovan MC, Owen MJ, Linden DE. Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype-Based Approach. Schizophr Bull 2019; 45:405-414. [PMID: 29608775 PMCID: PMC6403064 DOI: 10.1093/schbul/sby037] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Risk profile scores (RPS) derived from genome-wide association studies (GWAS) explain a considerable amount of susceptibility for schizophrenia (SCZ). However, little is known about how common genetic risk factors for SCZ influence the structure and function of the human brain, largely due to the constraints of imaging sample sizes. In the current study, we use a novel recall-by-genotype (RbG) methodological approach, where we sample young adults from a population cohort (Avon Longitudinal Study of Parents and Children: N genotyped = 8365) based on their SCZ-RPS. We compared 197 healthy individuals at extremes of low (N = 99) or high (N = 98) SCZ-RPS with behavioral tests, and structural and functional magnetic resonance imaging (fMRI). We first provide methodological details that will inform the design of future RbG studies for common SCZ genetic risk. We further provide an between group analysis of the RbG individuals (low vs high SCZ-RPS) who underwent structural neuroimaging data (T1-weighted scans) and fMRI data during a reversal learning task. While we found little evidence for morphometric differences between the low and high SCZ-RPS groups, we observed an impact of SCZ-RPS on blood oxygen level-dependent (BOLD) signal during reward processing in the ventral striatum (PFWE-VS-CORRECTED = .037), a previously investigated broader reward-related network (PFWE-ROIS-CORRECTED = .008), and across the whole brain (PFWE-WHOLE-BRAIN-CORRECTED = .013). We also describe the study strategy and discuss specific challenges of RbG for SCZ risk (such as SCZ-RPS related homoscedasticity). This study will help to elucidate the behavioral and imaging phenotypes that are associated with SCZ genetic risk.
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Affiliation(s)
- Thomas M Lancaster
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Stavros L Dimitriadis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Katherine E Tansey
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
| | - Gavin Perry
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | | | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Krish D Singh
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Andrew Pocklington
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Stan Zammit
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Michael C O’Donovan
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - Michael J Owen
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
| | - David E Linden
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK
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9
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Bogdan R, Baranger DAA, Agrawal A. Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. Annu Rev Clin Psychol 2018; 14:119-157. [PMID: 29579395 PMCID: PMC7772939 DOI: 10.1146/annurev-clinpsy-050817-084847] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Genomewide association studies (GWASs) across psychiatric phenotypes have shown that common genetic variants generally confer risk with small effect sizes (odds ratio < 1.1) that additively contribute to polygenic risk. Summary statistics derived from large discovery GWASs can be used to generate polygenic risk scores (PRS) in independent, target data sets to examine correlates of polygenic disorder liability (e.g., does genetic liability to schizophrenia predict cognition?). The intuitive appeal and generalizability of PRS have led to their widespread use and new insights into mechanisms of polygenic liability. However, when currently applied across traits they account for small amounts of variance (<3%), are relatively uninformative for clinical treatment, and, in isolation, provide no insight into molecular mechanisms. Larger GWASs are needed to increase the precision of PRS, and novel approaches integrating various data sources (e.g., multitrait analysis of GWASs) may improve the utility of current PRS.
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Affiliation(s)
- Ryan Bogdan
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - David A A Baranger
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri 63110, USA
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10
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Nigg JT, Gustafsson HC, Karalunas SL, Ryabinin P, McWeeney SK, Faraone SV, Mooney MA, Fair DA, Wilmot B. Working Memory and Vigilance as Multivariate Endophenotypes Related to Common Genetic Risk for Attention-Deficit/Hyperactivity Disorder. J Am Acad Child Adolesc Psychiatry 2018; 57:175-182. [PMID: 29496126 PMCID: PMC6547382 DOI: 10.1016/j.jaac.2017.12.013] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 12/19/2017] [Accepted: 01/03/2018] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Understanding the role of endophenotypes is essential for process models of psychopathology. This study examined which candidate cognitive endophenotypes statistically mediate common variant genetic risk for attention-deficit/hyperactivity disorder (ADHD). METHOD A case-control design using community-recruited volunteer children 7 to 11 years of age (n = 656, n = 435 ADHD), of whom 514 were of homogenous European ancestry for the primary models (n = 337 ADHD, 177 non-ADHD). Children were assessed with a multi-informant, best-estimate diagnostic procedure and laboratory measures of working memory, response inhibition, executive functioning, arousal/attention, temporal information processing, and processing speed. Latent variables were created for the candidate cognitive measures and for parent- and teacher-rated ADHD dimensions. Polygenic risk scores (PGS) were computed using a discovery sample of 20,183 individuals with ADHD and 35,191 controls from the Psychiatric Genetics Consortium. Cognitive measures that survived multiple testing correction for association with the PGS were evaluated for mediation with ADHD using structural equation models. RESULTS Results were essentially identical in the homogeneous European ancestry subgroup (n = 514) and in the full sample (N = 656). For the European population, the PGS was associated with ADHD diagnosis (Nagelkerke R2 = 0.045; β = 0.233, SE = 0.053, p = .000011) and multi-indicator dimensional ADHD latent variables by parent report (β = 0.185, SE = 0.043) and teacher report (β = 0.165, SE = 0.042). The PGS effect was statistically mediated by working memory (indirect effect, β = 0.101, SE = 0.029, 95% CI = 0.05, 0.16, p = .00049, 43% of genetic effect accounted for) and arousal/alertness (indirect effect β = 0.115, 95% CI = 0.04, 0.20, SE = 0.041, p = .005, 49% of genetic effect accounted for). CONCLUSION This is the first clear demonstration from molecular genetic data that working memory and arousal regulation are promising cognitive endophenotypes for ADHD with regard to mediating genetic risk from common genetic variants.
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Affiliation(s)
- Joel T Nigg
- Oregon Health and Science University, Portland.
| | | | | | | | | | | | | | | | - Beth Wilmot
- Oregon Health and Science University, Portland
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11
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Carey CE, Bogdan R. Executive Function and Genomic Risk for Attention-Deficit/Hyperactivity Disorder: Testing Intermediate Phenotypes in the Context of Polygenic Risk. J Am Acad Child Adolesc Psychiatry 2018; 57:146-148. [PMID: 29496121 DOI: 10.1016/j.jaac.2018.01.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Accepted: 01/09/2018] [Indexed: 10/17/2022]
Affiliation(s)
- Caitlin E Carey
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA
| | - Ryan Bogdan
- BRAIN Lab, Washington University in St. Louis, and Division of Biology and Biomedical Sciences, Neurosciences, Human and Statistical Genetics, Molecular Genetics and Genomics, Washington University in St. Louis.
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12
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Manning V, Dowling N, Lee S, Rodda S, Garfield J, Volberg R, Kulkarni J, Lubman D. Problem gambling and substance use in patients attending community mental health services. J Behav Addict 2017; 6:678-688. [PMID: 29254361 PMCID: PMC6034952 DOI: 10.1556/2006.6.2017.077] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background and aims Relatively little is known about co-occurring gambling problems and their overlap with other addictive behaviors among individuals attending mental health services. We aimed to determine rates of gambling and substance use problems in patients accessing mental health services in Victoria, Australia. Methods A total of 837 adult patients were surveyed about their gambling and administered standardized screening tools for problem gambling and harmful tobacco, alcohol, and drug use. Prevalence of gambling problems was estimated and regression models used to determine predictors of problem gambling. Results The gambling participation rate was 41.6% [95% CI = 38.2-44.9]. The Problem Gambling Severity Index identified 19.7% [CI = 17.0-22.4] as "non-problem gamblers," 7.2% [CI = 5.4-8.9] as "low-risk" gamblers, 8.4% [CI = 6.5-10.2] as "moderate-risk" gamblers, and 6.3% [CI = 4.7-8.0] as "problem gamblers." One-fifth (21.9%) of the sample and 52.6% of all gamblers were identified as either low-risk, moderate-risk, or problem gamblers (PGs). Patients classified as problem and moderate-risk gamblers had significantly elevated rates of nicotine and illicit drug dependence (p < .001) according to short screening tools. Current diagnosis of drug use (OR = 4.31 [CI = 1.98-9.37]), borderline personality (OR = 2.59 [CI = 1.13-5.94]), bipolar affective (OR = 2.01 [CI = 1.07-3.80]), and psychotic (OR = 1.83 [CI = 1.03-3.25]) disorders were significant predictors of problem gambling. Discussion and conclusions Patients were less likely to gamble, but eight times as likely to be classified as PG, relative to Victoria's adult general population. Elevated rates of harmful substance use among moderate-risk and PG suggest overlapping vulnerability to addictive behaviors. These findings suggest mental health services should embed routine screening into clinical practice, and train clinicians in the management of problem gambling.
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Affiliation(s)
- Victoria Manning
- Turning Point, Eastern Health, Melbourne, VIC, Australia,Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia,Corresponding author: Victoria Manning; Turning Point, Eastern Health, 110 Church Street, Richmond 3121, VIC, Australia; Phone: +61 3 8413 8413; Fax: +61 3 9416 3420; E-mail:
| | - Nicki. A. Dowling
- School of Psychology, Deakin University, Geelong, VIC, Australia,Melbourne Graduate School of Education, University of Melbourne, Melbourne, VIC, Australia
| | - Stuart Lee
- Monash Alfred Psychiatry Research Centre, Alfred Health and Monash University Central Clinical School, Melbourne, VIC, Australia
| | - Simone Rodda
- Turning Point, Eastern Health, Melbourne, VIC, Australia,School of Psychology, Deakin University, Geelong, VIC, Australia,School of Population Health, University of Auckland, Auckland, New Zealand
| | - Joshua Benjamin Bernard Garfield
- Turning Point, Eastern Health, Melbourne, VIC, Australia,Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Rachel Volberg
- School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Jayashri Kulkarni
- Monash Alfred Psychiatry Research Centre, Alfred Health and Monash University Central Clinical School, Melbourne, VIC, Australia
| | - Dan Ian Lubman
- Turning Point, Eastern Health, Melbourne, VIC, Australia,Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
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13
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Glahn DC, McIntosh AM. Using Polygenic Risk Scores to Establish Endophenotypes: Considerations and Current Constraints. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:113-114. [PMID: 29560914 DOI: 10.1016/j.bpsc.2017.01.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 01/31/2017] [Indexed: 11/26/2022]
Affiliation(s)
- David C Glahn
- Department of Psychiatry, Yale University School of Medicine, New Haven; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut.
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom; Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
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