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Bares CB, Chartier KG, Karriker-Jaffe KJ, Aliev F, Mustanski B, Dick D. Exploring how Family and Neighborhood Stressors Influence Genetic Risk for Adolescent Conduct Problems and Alcohol Use. J Youth Adolesc 2020; 49:1365-1378. [PMID: 31407187 PMCID: PMC7012717 DOI: 10.1007/s10964-019-01098-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 07/27/2019] [Indexed: 10/26/2022]
Abstract
Previous research suggests that genetic risk factors may predispose to conduct problems and alcohol use in adolescence. Whether genetic risk factors interact with social contexts has not been well characterized among African American adolescents. Data came from a subsample of the Genes, Environment, and Neighborhood Initiative study comprising 501 African American adolescents, including 151 lifetime drinkers (56% female, mean age = 16.3, SD = 1.4). Genetic risk was assessed with polygenic risk scores for alcohol dependence. Analyses explored interactions between genetic risk and self-reported alcohol use, conduct problems, life stressors, and other covariates. The effects of two gene-environment interactions (G × E) were tested in the sample of alcohol exposed adolescents; one on conduct problems and the other on alcohol use. There were significant associations between polygenic risk for alcohol dependence and conduct problems. A significant G × E interaction showed the impact of genetic risk on conduct problems was stronger under conditions of high exposure to family and neighborhood stressors. Among this sample of African American adolescents, genetic risk for alcohol dependence was not directly associated with alcohol use but was related to more conduct problems. Further, the effect of genetic risk interacted with stressors from the family and neighborhood, so that the effect of genetic risk on conduct problems was stronger for individuals who reported greater stressors.
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Affiliation(s)
- Cristina B Bares
- School of Social Work, University of Michigan, 1080S. University, Ann Arbor, MI, 48109, USA.
| | - Karen G Chartier
- School of Social Work and Department of Psychiatry, Virginia Commonwealth University, 1000 Floyd Avenue, P.O. Box 842027, Richmond, VA, 23284, USA
| | - Katherine J Karriker-Jaffe
- Alcohol Research Group, Public Health Institute, 6001 Shellmound St., Suite 450, Emeryville, CA, 94608, USA
| | - Fazil Aliev
- Department of Psychology, Virginia Commonwealth University, 817W. Franklin, Suite B-16, Richmond, VA, 23284, USA
- Karabuk University, Karabuk, Turkey
| | - Brian Mustanski
- Department of Medical Social Sciences, Northwestern University, 625N. Michigan Avenue, Suite 14-061, Chicago, IL, 60611, USA
| | - Danielle Dick
- Department of Psychology, Virginia Commonwealth University, 800W. Franklin, Room 202, Richmond, VA, 23284, USA
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2
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Wang Y, Yang Q, Zhu B, Ye S, Tian X, Krueger F. High levels of psychopathic traits increase the risk of transferring reactive aggression to innocent people after provocation: Evidence from an ERP study. Biol Psychol 2020; 153:107891. [PMID: 32437902 DOI: 10.1016/j.biopsycho.2020.107891] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/18/2020] [Accepted: 04/20/2020] [Indexed: 11/30/2022]
Abstract
This study investigated the neuropsychological underpinnings of reactive aggression toward innocent people in a student population with different levels of psychopathic traits. While recording event-related potentials, participants (divided into high/low psychopathic [HP/LP] traits groups) competed against two fictitious opponents in a modified Taylor Aggression Paradigm. We found that the HP group compared to the LP group selected more often high-intensity punishment for the second innocent opponent after being provoked by the first opponent. Further, a more negative N2 and a smaller P3 was found in the HP group while punishing the innocents-reflecting a tendency on antisocial-aggressive behavior. Finally, both groups showed a more negative FRN for losing than winning trials when seeing the outcome of the game. Our results suggest that high psychopathic traits increase the risk of transferring provoked aggression to innocent people-offering a psychophysiological perspective for explaining and predicting aggression against the innocents in social interactions.
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Affiliation(s)
- Yuchao Wang
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Qun Yang
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.
| | - Bing Zhu
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Shuer Ye
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Xuehong Tian
- Institute of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
| | - Frank Krueger
- School of Systems Biology, George Mason University, Fairfax, VA, USA; Department of Psychology, George Mason University, Fairfax, VA, USA
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3
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Pasion R, Fernandes C, Pereira MR, Barbosa F. Antisocial behaviour and psychopathy: Uncovering the externalizing link in the P3 modulation. Neurosci Biobehav Rev 2018; 91:170-186. [DOI: 10.1016/j.neubiorev.2017.03.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 03/01/2017] [Accepted: 03/20/2017] [Indexed: 12/13/2022]
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Chronaki G, Soltesz F, Benikos N, Sonuga-Barke EJS. An electrophysiological investigation of reinforcement effects in attention deficit/hyperactivity disorder: Dissociating cue sensitivity from down-stream effects on target engagement and performance. Dev Cogn Neurosci 2017; 28:12-20. [PMID: 29080475 PMCID: PMC6987869 DOI: 10.1016/j.dcn.2017.10.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 10/13/2017] [Accepted: 10/17/2017] [Indexed: 01/20/2023] Open
Abstract
Objective Neural hypo-sensitivity to cues predicting positive reinforcement has been observed in ADHD using the Monetary Incentive Delay (MID) task. Here we report the first study using an electrophysiological analogue of this task to distinguish between (i) cue related anticipation of reinforcement and downstream effects on (ii) target engagement and (iii) performance in a clinical sample of adolescents with ADHD and controls. Methods Thirty-one controls and 32 adolescents with ADHD aged 10–16 years performed the electrophysiological (e)-MID task − in which preparatory cues signal whether a response to an upcoming target will be reinforced or not − under three conditions; positive reinforcement, negative reinforcement (response cost) and no consequence (neutral). We extracted values for both cue-related potentials known to be, both, associated with response preparation and modulated by reinforcement (Cue P3 and Cue CNV) and target-related potentials (target P3) and compared these between ADHD and controls. Results ADHD and controls did not differ on cue-related components on neutral trials. Against expectation, adolescents with ADHD displayed Cue P3 and Cue CNV reinforcement-related enhancement (versus neutral trials) compared to controls. ADHD individuals displayed smaller target P3 amplitudes and slower and more variable performance − but effects were not modulated by reinforcement contingencies. When age, IQ and conduct problems were controlled effects were marginally significant but the pattern of results did not change. Discussion ADHD was associated with hypersensitivity to positive (and marginally negative) reinforcement reflected on components often thought to be associated with response preparation − however these did not translate into improved attention to targets. In the case of ADHD, upregulated CNV may be a specific marker of hyper-arousal rather than an enhancement of anticipatory attention to upcoming targets. Future studies should examine the effects of age, IQ and conduct problems on reinforcement sensitivity in ADHD.
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Affiliation(s)
- Georgia Chronaki
- Developmental Cognitive Neuroscience (DCN) Laboratory, School of Psychology, University of Central Lancashire, UK; Developmental Brain-Behaviour Laboratory, Psychology, University of Southampton, UK; Division of Neuroscience & Experimental Psychology, University of Manchester, UK
| | - Fruzsina Soltesz
- Developmental Brain-Behaviour Laboratory, Psychology, University of Southampton, UK
| | - Nicholas Benikos
- Department of Cognitive Science Australian Hearing Hub 16 University Avenue Macquarie University, NSW, 2109, UK
| | - Edmund J S Sonuga-Barke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, UK; Department of Experimental Clinical and Health Psychology, Ghent University, Belgium.
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Battaglia M, Michelini G, Pezzica E, Ogliari A, Fagnani C, Stazi MA, Bertoletti E, Scaini S. Shared genetic influences among childhood shyness, social competences, and cortical responses to emotions. J Exp Child Psychol 2017; 160:67-80. [PMID: 28432866 DOI: 10.1016/j.jecp.2017.03.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 03/15/2017] [Accepted: 03/19/2017] [Indexed: 01/13/2023]
Abstract
Visual event-related potentials (ERPs) evoked by facial expressions are useful to map socioemotional responses among shy children and to predict transition into social phobia. We investigated the sources of covariation among childhood shyness, social competences, and ERPs to other children's happy, neutral, and angry expressions. Electrophysiological and twin analyses examined the phenotypic and etiological association among an index of childhood shyness, an index of social competences, and ERP responses to facial expressions in 200 twins (mean age=9.23years). Multivariate twin analyses showed that the covariation among shyness, social competences, and a composite of a frontal late negative component occurring around 200-400ms in response to happy, neutral, and angry expressions could be entirely explained by shared genetic factors. A coherent causal structure links childhood shyness, social competences, and the cortical responses to facial emotions. A common genetic substrate can explain the interrelatedness of individual differences for childhood shyness, social competences, and some associated electrophysiological responses to socioemotional signals.
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Affiliation(s)
- Marco Battaglia
- Department of Psychiatry, University of Toronto, Toronto, Ontario M6J 1H4, Canada; Division of Child and Youth Psychiatry, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario M6J 1H4, Canada.
| | - Giorgia Michelini
- MRC Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London SE5 8AF, UK
| | - Elettra Pezzica
- Developmental Psychopathology Unit, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Anna Ogliari
- Developmental Psychopathology Unit, Vita-Salute San Raffaele University, 20132 Milan, Italy; Department of Clinical Neurosciences, San Raffaele Hospital, 20132 Milan, Italy
| | | | | | - Eleonora Bertoletti
- Department of Clinical Neurosciences, San Raffaele Hospital, 20132 Milan, Italy
| | - Simona Scaini
- Developmental Psychopathology Unit, Vita-Salute San Raffaele University, 20132 Milan, Italy; Faculty of Psychology, Sigmund Freud University, 20143 Milan, Italy
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Wesseldijk LW, Fedko IO, Bartels M, Nivard MG, van Beijsterveldt CEM, Boomsma DI, Middeldorp CM. Psychopathology in 7-year-old children: Differences in maternal and paternal ratings and the genetic epidemiology. Am J Med Genet B Neuropsychiatr Genet 2017; 174:251-260. [PMID: 27774759 PMCID: PMC5413051 DOI: 10.1002/ajmg.b.32500] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 09/20/2016] [Indexed: 11/11/2022]
Abstract
The assessment of children's psychopathology is often based on parental report. Earlier studies have suggested that rater bias can affect the estimates of genetic, shared environmental and unique environmental influences on differences between children. The availability of a large dataset of maternal as well as paternal ratings of psychopathology in 7-year old children enabled (i) the analysis of informant effects on these assessments, and (ii) to obtain more reliable estimates of the genetic and non-genetic effects. DSM-oriented measures of affective, anxiety, somatic, attention-deficit/hyperactivity, oppositional-defiant, conduct, and obsessive-compulsive problems were rated for 12,310 twin pairs from the Netherlands Twin Register by mothers (N = 12,085) and fathers (N = 8,516). The effects of genetic and non-genetic effects were estimated on the common and rater-specific variance. For all scales, mean scores on maternal ratings exceeded paternal ratings. Parents largely agreed on the ranking of their child's problems (r 0.60-0.75). The heritability was estimated over 55% for maternal and paternal ratings for all scales, except for conduct problems (44-46%). Unbiased shared environmental influences, i.e., on the common variance, were significant for affective (13%), oppositional (13%), and conduct problems (37%). In clinical settings, different cutoffs for (sub)clinical scores could be applied to paternal and maternal ratings of their child's psychopathology. Only for conduct problems, shared environmental and genetic influences explain an equal amount in differences between children. For the other scales, genetic factors explain the majority of the variance, especially for the common part that is free of rater bias. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
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Affiliation(s)
- Laura W. Wesseldijk
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands,EMGO+ Institute for Health and Care ResearchAmsterdamThe Netherlands
| | - Iryna O. Fedko
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | - Meike Bartels
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands,EMGO+ Institute for Health and Care ResearchAmsterdamThe Netherlands,Neuroscience Campus AmsterdamAmsterdamThe Netherlands
| | - Michel G. Nivard
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands
| | | | - Dorret I. Boomsma
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands,EMGO+ Institute for Health and Care ResearchAmsterdamThe Netherlands,Neuroscience Campus AmsterdamAmsterdamThe Netherlands
| | - Christel M. Middeldorp
- Department of Biological PsychologyVU University AmsterdamAmsterdamThe Netherlands,Neuroscience Campus AmsterdamAmsterdamThe Netherlands,Department of Child and Adolescent PsychiatryGGZ inGeest/VU University Medical CenterAmsterdamThe Netherlands
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7
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Ordikhani-Seyedlar M, Lebedev MA, Sorensen HBD, Puthusserypady S. Neurofeedback Therapy for Enhancing Visual Attention: State-of-the-Art and Challenges. Front Neurosci 2016; 10:352. [PMID: 27536212 PMCID: PMC4971093 DOI: 10.3389/fnins.2016.00352] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 07/12/2016] [Indexed: 11/17/2022] Open
Abstract
We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the brain to external devices. BCIs can be utilized to treat neurological conditions and even to augment brain functions. BCIs offer a promising treatment for mental disorders, including disorders of attention. Here we review the current state of the art and challenges of attention-based BCIs, with a focus on visual attention. Attention-based BCIs utilize electroencephalograms (EEGs) or other recording techniques to generate neurofeedback, which patients use to improve their attention, a complex cognitive function. Although progress has been made in the studies of neural mechanisms of attention, extraction of attention-related neural signals needed for BCI operations is a difficult problem. To attain good BCI performance, it is important to select the features of neural activity that represent attentional signals. BCI decoding of attention-related activity may be hindered by the presence of different neural signals. Therefore, BCI accuracy can be improved by signal processing algorithms that dissociate signals of interest from irrelevant activities. Notwithstanding recent progress, optimal processing of attentional neural signals remains a fundamental challenge for the development of efficient therapies for disorders of attention.
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Affiliation(s)
- Mehdi Ordikhani-Seyedlar
- Division of Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark Lyngby, Denmark
| | - Mikhail A Lebedev
- Department of Neurobiology, Duke UniversityDurham, NC, USA; Center for Neuroengineering, Duke UniversityDurham, NC, USA
| | - Helge B D Sorensen
- Division of Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark Lyngby, Denmark
| | - Sadasivan Puthusserypady
- Division of Biomedical Engineering, Department of Electrical Engineering, Technical University of Denmark Lyngby, Denmark
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Verweij KJ, Creemers H, Korhonen T, Latvala A, Dick D, Rose RJ, Huizink A, Kaprio J. Role of overlapping genetic and environmental factors in the relationship between early adolescent conduct problems and substance use in young adulthood. Addiction 2016; 111:1036-45. [PMID: 26748618 PMCID: PMC4861688 DOI: 10.1111/add.13303] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Revised: 07/13/2015] [Accepted: 01/07/2016] [Indexed: 11/26/2022]
Abstract
AIMS To determine (1) the prospective associations of conduct problems during early adolescence with tobacco, alcohol and cannabis use in young adulthood and (2) to what extent these associations are due to overlapping genetic versus environmental influences. DESIGN A prospective twin study using biometric twin modelling. SETTING Finland. PARTICIPANTS A total of 1847 Finnish twins (943 males and 904 females) were interviewed in early adolescence, 73% of whom (n = 1353, 640 males and 713 females) were retained in young adulthood. MEASUREMENTS Symptom counts of conduct disorder (CD) criteria were obtained from a semi-structured clinical interview in early adolescence [age 14-15 years, mean = 14.2, standard deviation (SD) = 0.15]. Frequency of alcohol, tobacco and cannabis use was obtained from a semi-structured clinical interview in young adulthood (age 19.9-26.6 years, mean = 22.4, SD = 0.7). FINDINGS We found modest to moderate phenotypical correlations (r = 0.16-0.35) between early adolescent CD symptoms and substance use in young adulthood. In males, the phenotypical correlations of CD symptoms with all three substance use variables are explained largely by overlapping genetic influences. In females, overlapping shared environmental influences predominantly explain the phenotypical correlation between CD symptoms and tobacco and cannabis use. CONCLUSIONS Conduct disorder symptoms in early adolescence appear to moderately predict substance use in early adulthood. In males, genetic influences seem to be most important in explaining the relationship between conduct disorder symptoms and substance use whereas in females, shared environmental influences seem to be most important.
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Affiliation(s)
- Karin J.H. Verweij
- VU University, Department of Clinical Developmental Psychology and EMGO Institute for Health and Care Research, 1081 BT Amsterdam, the Netherlands,Department of Biological Psychology/Netherlands Twin Register, VU University, Amsterdam, The Netherlands
| | - H.E. Creemers
- Forensic Child and Youth Care Sciences, University of Amsterdam, Amsterdam, The Netherlands,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - T. Korhonen
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Finland
| | - A. Latvala
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland
| | - D.M. Dick
- Departments of Psychiatry, Psychology and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, Virginia
| | - R. J. Rose
- Department of Public Health, University of Helsinki, Helsinki, Finland,Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana, USA
| | - A.C. Huizink
- VU University, Department of Clinical Developmental Psychology and EMGO Institute for Health and Care Research, 1081 BT Amsterdam, the Netherlands
| | - J. Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland,National Institute for Health and Welfare, Helsinki, Finland,Finnish Institute of Molecular Medicine, University of Helsinki, Helsinki, Finland
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Veroude K, Zhang-James Y, Fernàndez-Castillo N, Bakker MJ, Cormand B, Faraone SV. Genetics of aggressive behavior: An overview. Am J Med Genet B Neuropsychiatr Genet 2016; 171B:3-43. [PMID: 26345359 DOI: 10.1002/ajmg.b.32364] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 08/05/2015] [Indexed: 12/24/2022]
Abstract
The Research Domain Criteria (RDoC) address three types of aggression: frustrative non-reward, defensive aggression and offensive/proactive aggression. This review sought to present the evidence for genetic underpinnings of aggression and to determine to what degree prior studies have examined phenotypes that fit into the RDoC framework. Although the constructs of defensive and offensive aggression have been widely used in the animal genetics literature, the human literature is mostly agnostic with regard to all the RDoC constructs. We know from twin studies that about half the variance in behavior may be explained by genetic risk factors. This is true for both dimensional, trait-like, measures of aggression and categorical definitions of psychopathology. The non-shared environment seems to have a moderate influence with the effects of shared environment being unclear. Human molecular genetic studies of aggression are in an early stage. The most promising candidates are in the dopaminergic and serotonergic systems along with hormonal regulators. Genome-wide association studies have not yet achieved genome-wide significance, but current samples are too small to detect variants having the small effects one would expect for a complex disorder. The strongest molecular evidence for a genetic basis for aggression comes from animal models comparing aggressive and non-aggressive strains or documenting the effects of gene knockouts. Although we have learned much from these prior studies, future studies should improve the measurement of aggression by using a systematic method of measurement such as that proposed by the RDoC initiative.
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Affiliation(s)
- Kim Veroude
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Yanli Zhang-James
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,Departments of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York
| | - Noèlia Fernàndez-Castillo
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
| | - Mireille J Bakker
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands
| | - Bru Cormand
- Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Catalonia, Spain.,Institut de Biomedicina de la Universitat de Barcelona (IBUB), Catalonia, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Spain
| | - Stephen V Faraone
- Departments of Psychiatry and of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,Departments of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.,K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway
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