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Clarke AT, Fineberg NA, Pellegrini L, Laws KR. The relationship between cognitive phenotypes of compulsivity and impulsivity and clinical variables in obsessive-compulsive disorder: A systematic review and Meta-analysis. Compr Psychiatry 2024; 133:152491. [PMID: 38714143 DOI: 10.1016/j.comppsych.2024.152491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/23/2024] [Accepted: 03/04/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND This systematic review and meta-analysis explored the relationship between cognitive phenotypes of compulsivity and impulsivity and clinical variables in obsessive-compulsive disorder (OCD). METHODS We searched Pubmed, Scopus, Cochrane Library and PsychINFO databases until February 2023 for studies comparing patients with OCD and healthy controls on cognitive tests of compulsivity and impulsivity. The study followed PRISMA guidelines and was pre-registered on PROSPERO (CRD42021299017). RESULTS Meta-analyses of 112 studies involving 8313 participants (4289 patients with OCD and 4024 healthy controls) identified significant impairments in compulsivity (g = -0.58, [95%CI -0.68, -0.47]; k = 76) and impulsivity (g = -0.48, [95%CI -0.57, -0.38]; k = 63); no significant difference between impairments. Medication use and comorbid psychiatric disorders were not significantly related to impairments. No associations were revealed with OCD severity, depression/anxiety, or illness duration. CONCLUSION Cognitive phenotypes of compulsivity and impulsivity in patients with OCD appear to be orthogonal to clinical variables, including severity of OCD symptomatology. Their clinical impact is poorly understood and may require different clinical assessment tools and interventions.
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Affiliation(s)
- Aaron T Clarke
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.
| | - Naomi A Fineberg
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK; University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Luca Pellegrini
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK; Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK; Centre for Psychedelic Research, Imperial College London, London, UK
| | - Keith R Laws
- School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK
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DeRosa J, Rosch KS, Mostofsky SH, Nikolaidis A. Developmental deviation in delay discounting as a transdiagnostic indicator of risk for child psychopathology. J Child Psychol Psychiatry 2024; 65:148-164. [PMID: 37524685 PMCID: PMC10828118 DOI: 10.1111/jcpp.13870] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND The tendency to prefer smaller, immediate rewards over larger, delayed rewards is known as delay discounting (DD). Developmental deviations in DD may be key in characterizing psychiatric and neurodevelopmental disorders. Recent work empirically supported DD as a transdiagnostic process in various psychiatric disorders. Yet, there is a lack of research relating developmental changes in DD from mid-childhood to adolescence to psychiatric and neurodevelopmental disorders. Additionally, examining the interplay between socioeconomic status/total household income (THI) and psychiatric symptoms is vital for a more comprehensive understanding of pediatric pathology and its complex relationship with DD. METHODS The current study addresses this gap in a robust psychiatric sample of 1843 children and adolescents aged 5-18 (M = 10.6, SD = 3.17; 1,219 males, 624 females). General additive models (GAMs) characterized the shape of age-related changes in monetary and food reward discounting for nine psychiatric disorders compared with neurotypical youth (NT; n = 123). Over 40% of our sample possessed a minimum of at least three psychiatric or neurodevelopmental disorders. We used bootstrap-enhanced Louvain community detection to map DD-related comorbidity patterns. We derived five subtypes based on diagnostic categories present in our sample. DD patterns were then compared across each of the subtypes. Further, we evaluated the effect of cognitive ability, emotional and behavioral problems, and THI in relation to DD across development. RESULTS Higher discounting was found in six of the nine disorders we examined relative to NT. DD was consistently elevated across development for most disorders, except for depressive disorders, with age-specific DD differences compared with NTs. Community detection analyses revealed that one comorbidity subtype consisting primarily of Attention-Deficit/Hyperactivity Disorder (ADHD) Combined Presentation and anxiety disorders displayed the highest overall emotional/behavioral problems and greater DD for the food reward. An additional subtype composed mainly of ADHD, predominantly Inattentive Presentation, learning, and developmental disorders, showed the greatest DD for food and monetary rewards compared with the other subtypes. This subtype had deficits in reasoning ability, evidenced by low cognitive and academic achievement performance. For this ADHD-I and developmental disorders subtype, THI was related to DD across the age span such that participants with high THI showed no differences in DD compared with NTs. In contrast, participants with low THI showed significantly worse DD trajectories than all others. Our results also support prior work showing that DD follows nonlinear developmental patterns. CONCLUSIONS We demonstrate preliminary evidence for DD as a transdiagnostic marker of psychiatric and neurodevelopmental disorders in children and adolescents. Comorbidity subtypes illuminate DD heterogeneity, facilitating the identification of high-risk individuals. Importantly, our findings revealed a marked link between DD and intellectual reasoning, with children from lower-income households exhibiting lower reasoning skills and heightened DD. These observations underscore the potential consequences of compromised self-regulation in economically disadvantaged individuals with these disorders, emphasizing the need for tailored interventions and further research to support improved outcomes.
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Affiliation(s)
- Jacob DeRosa
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Keri S Rosch
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stewart H Mostofsky
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Aki Nikolaidis
- Center for the Developing Brain, Child Mind Institute, New York, NY, USA
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Wagner BJ, Schüller CB, Schüller T, Baldermann JC, Kohl S, Visser-Vandewalle V, Huys D, Marx M, Kuhn J, Peters J. Chronic Deep Brain Stimulation of the Human Nucleus Accumbens Region Disrupts the Stability of Intertemporal Preferences. J Neurosci 2023; 43:7175-7185. [PMID: 37684029 PMCID: PMC10601365 DOI: 10.1523/jneurosci.0138-23.2023] [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] [Received: 01/24/2023] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 09/10/2023] Open
Abstract
When choosing between rewards that differ in temporal proximity (intertemporal choice), human preferences are typically stable, constituting a clinically relevant transdiagnostic trait. Here we show, in female and male human patients undergoing deep brain stimulation (DBS) of the anterior limb of the internal capsule/NAcc region for treatment-resistant obsessive-compulsive disorder, that long-term chronic (but not phasic) DBS disrupts intertemporal preferences. Hierarchical Bayesian modeling accounting for temporal discounting behavior across multiple time points allowed us to assess both short-term and long-term reliability of intertemporal choice. In controls, temporal discounting was highly reliable, both long-term (6 months) and short-term (1 week). In contrast, in patients undergoing DBS, short-term reliability was high, but long-term reliability (6 months) was severely disrupted. Control analyses confirmed that this effect was not because of range restriction, the presence of obsessive-compulsive disorder symptoms or group differences in choice stochasticity. Model-agnostic between- and within-subject analyses confirmed this effect. These findings provide initial evidence for long-term modulation of cognitive function via DBS and highlight a potential contribution of the human NAcc region to intertemporal preference stability over time.SIGNIFICANCE STATEMENT Choosing between rewards that differ in temporal proximity is in part a stable trait with relevance for many mental disorders, and depends on prefrontal regions and regions of the dopamine system. Here we show that chronic deep brain stimulation of the human anterior limb of the internal capsule/NAcc region for treatment-resistant obsessive-compulsive disorder disrupts the stability of intertemporal preferences. These findings show that chronic stimulation of one of the brain's central motivational hubs can disrupt preferences thought to depend on this circuit.
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Affiliation(s)
- Ben J Wagner
- Department of Psychology, Biological Psychology, University of Cologne, 50969 Cologne, Germany
- Faculty of Psychology, Chair of Cognitive Computational Neuroscience, TU Dresden, 01187 Dresden, Germany
| | - Canan B Schüller
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
| | - Thomas Schüller
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
| | - Juan C Baldermann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
- Department of Neurology, University Hospital Cologne, University of Cologne, 50937 Cologne, Germany
| | - Sina Kohl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
| | - Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
| | - Daniel Huys
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
- Department of Psychiatry and Psychotherapy III, LVR Klinik Bonn, 53111 Bonn, Germany
| | - Milena Marx
- Department of Psychology, Developmental Psychology, University of Heidelberg, 69117 Heidelberg, Germany
| | - Jens Kuhn
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, and University Hospital Cologne, 50937 Cologne, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatic, Johanniter Hospital Oberhausen, 46145 Oberhausen, Germany
| | - Jan Peters
- Department of Psychology, Biological Psychology, University of Cologne, 50969 Cologne, Germany
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Varma MM, Zhen S, Yu R. Not all discounts are created equal: Regional activity and brain networks in temporal and effort discounting. Neuroimage 2023; 280:120363. [PMID: 37673412 DOI: 10.1016/j.neuroimage.2023.120363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 08/31/2023] [Accepted: 09/03/2023] [Indexed: 09/08/2023] Open
Abstract
Reward outcomes associated with costs like time delay and effort investment are generally discounted in decision-making. Standard economic models predict rewards associated with different types of costs are devalued in a similar manner. However, our review of rodent lesion studies indicated partial dissociations between brain regions supporting temporal- and effort-based decision-making. Another debate is whether options involving low and high costs are processed in different brain substrates (dual-system) or in the same regions (single-system). This research addressed these issues using coordinate-based, connectivity-based, and activation network-based meta-analyses to identify overlapping and separable neural systems supporting temporal (39 studies) and effort (20 studies) discounting. Coordinate-based activation likelihood estimation and resting-state connectivity analyses showed immediate-small reward and delayed-large reward choices engaged distinct regions with unique connectivity profiles, but their activation network mapping was found to engage the default mode network. For effort discounting, salience and sensorimotor networks supported low-effort choices, while the frontoparietal network supported high-effort choices. There was little overlap between the temporal and effort networks. Our findings underscore the importance of differentiating different types of costs in decision-making and understanding discounting at both regional and network levels.
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Affiliation(s)
- Mohith M Varma
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China
| | - Shanshan Zhen
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China.
| | - Rongjun Yu
- Department of Management, Marketing, and Information Systems, Hong Kong Baptist University, Hong Kong, China.
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Zhi S, Zhao W, Wang R, Li Y, Wang X, Liu S, Li J, Xu Y. Stability of specific personality network features corresponding to openness trait across different adult age periods: A machine learning analysis. Biochem Biophys Res Commun 2023; 672:137-144. [PMID: 37352602 DOI: 10.1016/j.bbrc.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 05/25/2023] [Accepted: 06/02/2023] [Indexed: 06/25/2023]
Abstract
The functional connectivity patterns of the brain during resting state are closely related to an individual's cognition, emotion, behavior, and social interactions, making it an important research method to measure personality traits in an unbiased way, replacing traditional paper-and-pencil tests. However, due to the dynamic nature of the brain, whether the changes in functional connectivity caused by age can stably map onto personality traits has not been previously investigated. This study focuses on whether network features that are significantly related to personality traits can effectively distinguish subjects with different personality traits, and whether these network features vary across different periods of adulthood. The study included 343 healthy adult participants, divided into early adulthood and middle adulthood groups according to the age threshold of 35. Resting-state functional magnetic resonance imaging (fMRI) and the Big Five personality questionnaire were collected. we investigated the relationship between personality traits and intrinsic whole-brain functional connectome. We then used support vector machine (SVM) to evaluate the performance of personality network features in distinguishing subjects with high and low scores in the early-adulthood sample, and cross-validated in the mid-adulthood sample. Additionally, edge-based analysis (NBS) was used to explore the stability of personality networks across the two age samples. Our results show that the network features corresponding to openness personality trait are stable and can effectively differentiate subjects with different scores in both age samples. Furthermore, this study found that these network features vary to some extent across different periods of adulthood. These findings provide new evidence and insights into the application of resting-state functional connectivity patterns in measuring personality traits and help us better understand the dynamic characteristics of the human brain.
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Affiliation(s)
- Shengwen Zhi
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Wentao Zhao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Ruiping Wang
- Science and Technology Information and Strategy Research Center of Shanxi, China
| | - Yue Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xiao Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jing Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, Shanxi, China; Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
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6
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Lee SH, Chia S, Chou TL, Gau SSF. Sex differences in medication-naïve adults with attention-deficit/hyperactivity disorder: a counting Stroop functional MRI study. Biol Psychol 2023; 179:108552. [PMID: 37028795 DOI: 10.1016/j.biopsycho.2023.108552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 03/12/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023]
Abstract
Emerging evidence supports deficits in executive functions in the fronto-striato-parietal network in individuals with attention-deficit/hyperactivity disorder (ADHD). However, most functional studies recruited men with ADHD only, leaving it unclear whether executive deficits are also demonstrated in women with ADHD. Thus, we used functional magnetic resonance imaging to examine the sex differences in a counting Stroop task that explored interference control. The sample consisted of 55 medication-naïve adults with ADHD (28 men, 27 women) and 52 healthy controls (HC, 26 men, 26 women). The Conners' Continuous Performance Test further evaluated the performance of focused attention (standard deviation of the reaction time, RTSD) and vigilance (the reaction time change across different inter-stimulus intervals, RTISI). First, for the main effect of diagnosis, compared to the HC group, the ADHD group showed less activation in the caudate nucleus and inferior frontal gyrus (IFG). Second, for the main effect of sex, no significant effects were found. Third, a diagnosis-by-sex interaction indicated that the magnitude of ADHD-HC difference was greater for women than men in the right IFG and precuneus, reflecting greater difficulties for ADHD women to resolve interference. Conversely, no significant brain activation showed greater ADHD-HC difference in men than women. Also, reduced right IFG and precuneus activation was negatively associated with the scores assessing focused attention and vigilance in ADHD women, indicating that the attentional abilities are disrupted in ADHD women. Abnormalities in the frontoparietal areas may represent the main difference between ADHD women and ADHD men.
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7
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Arumugham SS, Srinivas D, Narayanaswamy JC, Jaisoorya TS, Kashyap H, Domenech P, Palfi S, Mallet L, Venkatasubramanian G, Reddy YJ. Identification of biomarkers that predict response to subthalamic nucleus deep brain stimulation in resistant obsessive-compulsive disorder: protocol for an open-label follow-up study. BMJ Open 2021; 11:e047492. [PMID: 34158304 PMCID: PMC8220486 DOI: 10.1136/bmjopen-2020-047492] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 05/26/2021] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Deep brain stimulation (DBS) of bilateral anteromedial subthalamic nucleus (amSTN) has been found to be helpful in a subset of patients with severe, chronic and treatment-refractory obsessive-compulsive disorder (OCD). Biomarkers may aid in patient selection and optimisation of this invasive treatment. In this trial, we intend to evaluate neurocognitive function related to STN and related biosignatures as potential biomarkers for STN DBS in OCD. METHODS AND ANALYSIS Twenty-four subjects with treatment-refractory OCD will undergo open-label STN DBS. Structural/functional imaging, electrophysiological recording and neurocognitive assessment would be performed at baseline. The subjects would undergo a structured clinical assessment for 12 months postsurgery. A group of 24 healthy volunteers and 24 subjects with treatment-refractory OCD who receive treatment as usual would be recruited for comparison of biomarkers and treatment response, respectively. Baseline biomarkers would be evaluated as predictors of clinical response. Neuroadaptive changes would be studied through a reassessment of neurocognitive functioning, imaging and electrophysiological activity post DBS. ETHICS AND DISSEMINATION The protocol has been approved by the National Institute of Mental Health and Neurosciences Ethics Committee. The study findings will be disseminated through peer-reviewed scientific journals and scientific meetings.
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Affiliation(s)
- Shyam Sundar Arumugham
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Dwarakanath Srinivas
- Department of Neurosurgery, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Janardhanan C Narayanaswamy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - T S Jaisoorya
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Himani Kashyap
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Philippe Domenech
- Univ Paris-Est Créteil, DMU CARE - Département Médical-Universitaire de Chirurgie et Anesthésie réanimation, DMU IMPACT, Département Médical-Universitaire de Psychiatrie et d'Addictologie, Hôpitaux Universitaires Henri Mondor, Creteil, France
- Univ of Paris 12 UPEC, Faculté de médecine, INSERM U955, Creteil, France
| | - Stéphane Palfi
- Univ Paris-Est Créteil, DMU CARE - Département Médical-Universitaire de Chirurgie et Anesthésie réanimation, DMU IMPACT, Département Médical-Universitaire de Psychiatrie et d'Addictologie, Hôpitaux Universitaires Henri Mondor, Creteil, France
- Univ of Paris 12 UPEC, Faculté de médecine, INSERM U955, Creteil, France
| | - Luc Mallet
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France
- Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - Yc Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
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The associations of comorbid substance use disorders and psychiatric conditions with adolescent brain structure and function: A review. J Neurol Sci 2020; 418:117099. [DOI: 10.1016/j.jns.2020.117099] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Revised: 07/15/2020] [Accepted: 08/14/2020] [Indexed: 12/30/2022]
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A systematic review of transcranial direct current stimulation effects in attention-deficit/hyperactivity disorder. J Affect Disord 2020; 276:1-13. [PMID: 32697687 PMCID: PMC8128973 DOI: 10.1016/j.jad.2020.06.054] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 05/15/2020] [Accepted: 06/23/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) stands out as the most prevalent neurodevelopmental disorder of childhood, with global prevalence ranging from 3.4% to 7•2%. Its cognitive symptoms result from the combination of complex etiological processes encompassing genetic and environmental components. Available therapeutic approaches are associated with significant challenges such as modest efficacy or side effects. Transcranial direct current stimulation (tDCS) is a promising tool for enhancing cognitive performance in neuropsychiatric disorders. Trials investigating its applicability in ADHD have showed propitious, however, still preliminary findings. METHODS We performed a systemic review by searching on Medline, Cochrane Library, Web of Science, ScienceDirect and Embase using the descriptors: "attention-deficit/hyperactivity disorder" or "ADHD"; and "transcranial direct current stimulation" or "tDCS"; following PRISMA guidelines. RESULTS A total of 383 articles were identified. After removing duplicates, 45 studies were assessed for eligibility, and after careful review, 11 manuscripts applying tDCS in ADHD were included. Significant improvements in attention, inhibitory control and working memory were reported, in addition to increased brain connectivity following use of active tDCS. LIMITATIONS The main limitation was the small number of trials investigating use of tDCS in ADHD. Study methods and outcome measures were quite variable, and generally did not include long-term follow-up. CONCLUSIONS Although the extent literature indicates promising findings, the available data remains highly preliminary. Further trials evaluating the efficacy of tDCS for ADHD, with longer follow-up, are necessary. These studies will be needed to determine the optimal protocol for clinical efficacy.
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Loosen AM, Hauser TU. Towards a computational psychiatry of juvenile obsessive-compulsive disorder. Neurosci Biobehav Rev 2020; 118:631-642. [PMID: 32942176 DOI: 10.1016/j.neubiorev.2020.07.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 07/14/2020] [Accepted: 07/18/2020] [Indexed: 01/22/2023]
Abstract
Obsessive-Compulsive Disorder (OCD) most often emerges during adolescence, but we know little about the aberrant neural and cognitive developmental mechanisms that underlie its emergence during this critical developmental period. To move towards a computational psychiatry of juvenile OCD, we review studies on the computational, neuropsychological and neural alterations in juvenile OCD and link these findings to the adult OCD and cognitive neuroscience literature. We find consistent difficulties in tasks entailing complex decision making and set shifting, but limited evidence in other areas that are altered in adult OCD, such as habit and confidence formation. Based on these findings, we establish a neurocomputational framework that illustrates how cognition can go awry and lead to symptoms of juvenile OCD. We link these possible aberrant neural processes to neuroimaging findings in juvenile OCD and show that juvenile OCD is mainly characterised by disruptions of complex reasoning systems.
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Affiliation(s)
- Alisa M Loosen
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London, United Kingdom.
| | - Tobias U Hauser
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, United Kingdom; Wellcome Centre for Human Neuroimaging, University College London, United Kingdom.
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11
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Jones NP, Versace A, Lindstrom R, Wilson TK, Gnagy EM, Pelham WE, Molina BSG, Ladouceur CD. Reduced Activation in the Pallidal-Thalamic-Motor Pathway Is Associated With Deficits in Reward-Modulated Inhibitory Control in Adults With a History of Attention-Deficit/Hyperactivity Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 5:1123-1133. [PMID: 32830098 DOI: 10.1016/j.bpsc.2020.06.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/16/2020] [Accepted: 06/18/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND Attention-deficit/hyperactivity disorder (ADHD) symptoms persist into adulthood and are associated with functional impairments. Neuroimaging studies of reward-modulated inhibitory control can identify potential objective markers of impairment and may deepen our understanding of why probands engage in costly behaviors leading to adverse outcomes. The study aimed to identify reward-modulated inhibitory control neural circuitries, their association with ADHD symptoms, and real-world implications of a decreased capacity to engage in reward-modulated inhibitory control. METHODS A total of 106 adults (90% male) with rigorous childhood diagnoses of ADHD were scanned with functional magnetic resonance imaging during the Monetary Incentive Go/NoGo task. Adulthood symptoms of inattention and hyperactivity/impulsivity based on self- and informant report were assessed. The number of lifetime attempts taken to quit smoking were also assessed as an exemplar real-world outcome. RESULTS Hyperactivity/impulsivity was negatively associated with activation in the pallidum and primary motor cortex when inhibiting a previously rewarded Go stimulus that yielded a small immediate reward in order to obtain a larger reward later on. Reduced recruitment of the pallidal-thalamic-motor circuit mediated the negative association between hyperactivity/impulsivity and reward-modulated inhibitory control accuracy. Reduced pallidum activation, in response to reward-modulated inhibitory control, was also associated with more attempts made to successfully quit smoking. CONCLUSIONS Probands with persistent hyperactivity/impulsivity symptoms have alterations in brain regions that calculate the value of inhibiting an action that yields an immediate reward in order to obtain delayed larger rewards. This deficit results in poor inhibitory control on basic tasks and during real-world behaviors that rely on similar processes.
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Affiliation(s)
- Neil P Jones
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Amelia Versace
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Rachel Lindstrom
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Tracey K Wilson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Elizabeth M Gnagy
- Department of Psychology, Florida International University, University Park, Florida
| | - William E Pelham
- Department of Psychology, Florida International University, University Park, Florida
| | - Brooke S G Molina
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Cecile D Ladouceur
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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12
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Lukito S, Norman L, Carlisi C, Radua J, Hart H, Simonoff E, Rubia K. Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum disorder. Psychol Med 2020; 50:894-919. [PMID: 32216846 PMCID: PMC7212063 DOI: 10.1017/s0033291720000574] [Citation(s) in RCA: 112] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND People with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have abnormalities in frontal, temporal, parietal and striato-thalamic networks. It is unclear to what extent these abnormalities are distinctive or shared. This comparative meta-analysis aimed to identify the most consistent disorder-differentiating and shared structural and functional abnormalities. METHODS Systematic literature search was conducted for whole-brain voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI) studies of cognitive control comparing people with ASD or ADHD with typically developing controls. Regional gray matter volume (GMV) and fMRI abnormalities during cognitive control were compared in the overall sample and in age-, sex- and IQ-matched subgroups with seed-based d mapping meta-analytic methods. RESULTS Eighty-six independent VBM (1533 ADHD and 1295 controls; 1445 ASD and 1477 controls) and 60 fMRI datasets (1001 ADHD and 1004 controls; 335 ASD and 353 controls) were identified. The VBM meta-analyses revealed ADHD-differentiating decreased ventromedial orbitofrontal (z = 2.22, p < 0.0001) but ASD-differentiating increased bilateral temporal and right dorsolateral prefrontal GMV (zs ⩾ 1.64, ps ⩽ 0.002). The fMRI meta-analyses of cognitive control revealed ASD-differentiating medial prefrontal underactivation but overactivation in bilateral ventrolateral prefrontal cortices and precuneus (zs ⩾ 1.04, ps ⩽ 0.003). During motor response inhibition specifically, ADHD relative to ASD showed right inferior fronto-striatal underactivation (zs ⩾ 1.14, ps ⩽ 0.003) but shared right anterior insula underactivation. CONCLUSIONS People with ADHD and ASD have mostly distinct structural abnormalities, with enlarged fronto-temporal GMV in ASD and reduced orbitofrontal GMV in ADHD; and mostly distinct functional abnormalities, which were more pronounced in ASD.
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Affiliation(s)
- Steve Lukito
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Luke Norman
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
- The Social and Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Christina Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Joaquim Radua
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
- Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden
| | - Heledd Hart
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Emily Simonoff
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Amlung M, Marsden E, Holshausen K, Morris V, Patel H, Vedelago L, Naish KR, Reed DD, McCabe RE. Delay Discounting as a Transdiagnostic Process in Psychiatric Disorders: A Meta-analysis. JAMA Psychiatry 2019; 76:1176-1186. [PMID: 31461131 PMCID: PMC6714026 DOI: 10.1001/jamapsychiatry.2019.2102] [Citation(s) in RCA: 189] [Impact Index Per Article: 37.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
IMPORTANCE Delay discounting is a behavioral economic index of impulsive preferences for smaller-immediate or larger-delayed rewards that is argued to be a transdiagnostic process across health conditions. Studies suggest some psychiatric disorders are associated with differences in discounting compared with controls, but null findings have also been reported. OBJECTIVE To conduct a meta-analysis of the published literature on delay discounting in people with psychiatric disorders. DATA SOURCES PubMed, MEDLINE, PsycInfo, Embase, and Web of Science databases were searched through December 10, 2018. The psychiatric keywords used were based on DSM-IV or DSM-5 diagnostic categories. Collected data were analyzed from December 10, 2018, through June 1, 2019. STUDY SELECTION Following a preregistered Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol, 2 independent raters reviewed titles, abstracts, and full-text articles. English-language articles comparing monetary delay discounting between participants with psychiatric disorders and controls were included. DATA EXTRACTION AND SYNTHESIS Hedges g effect sizes were computed and random-effects models were used for all analyses. Heterogeneity statistics, one-study-removed analyses, and publication bias indices were also examined. MAIN OUTCOMES AND MEASURES Categorical comparisons of delay discounting between a psychiatric group and a control group. RESULTS The sample included 57 effect sizes from 43 studies across 8 diagnostic categories. Significantly steeper discounting for individuals with a psychiatric disorder compared with controls was observed for major depressive disorder (Hedges g = 0.37; P = .002; k = 7), schizophrenia (Hedges g = 0.46; P = .004; k = 12), borderline personality disorder (Hedges g = 0.60; P < .001; k = 8), bipolar disorder (Hedges g = 0.68; P < .001; k = 4), bulimia nervosa (Hedges g = 0.41; P = .001; k = 4), and binge-eating disorder (Hedges g = 0.34; P = .001; k = 7). In contrast, anorexia nervosa exhibited statistically significantly shallower discounting (Hedges g = -0.30; P < .001; k = 10). Modest evidence of publication bias was indicated by a statistically significant Egger test for schizophrenia and at the aggregate level across studies. CONCLUSIONS AND RELEVANCE Results of this study appear to provide empirical support for delay discounting as a transdiagnostic process across most of the psychiatric disorders examined; the literature search also revealed limited studies in some disorders, notably posttraumatic stress disorder, which is a priority area for research.
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Affiliation(s)
- Michael Amlung
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Emma Marsden
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Katherine Holshausen
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Vanessa Morris
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Herry Patel
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Lana Vedelago
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Katherine R. Naish
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada
| | - Derek D. Reed
- Department of Applied Behavioral Science, University of Kansas, Lawrence, Kansas,Cofrin Logan Center for Addiction Research and Treatment, University of Kansas, Lawrence, Kansas
| | - Randi E. McCabe
- Peter Boris Centre for Addictions Research, St Joseph’s Healthcare Hamilton, McMaster University, Hamilton, Ontario, Canada,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
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14
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Brandl F, Le Houcq Corbi Z, Mulej Bratec S, Sorg C. Cognitive reward control recruits medial and lateral frontal cortices, which are also involved in cognitive emotion regulation: A coordinate-based meta-analysis of fMRI studies. Neuroimage 2019; 200:659-673. [DOI: 10.1016/j.neuroimage.2019.07.008] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 03/04/2019] [Accepted: 07/04/2019] [Indexed: 02/04/2023] Open
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15
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Stein DJ, Costa DLC, Lochner C, Miguel EC, Reddy YCJ, Shavitt RG, van den Heuvel OA, Simpson HB. Obsessive-compulsive disorder. Nat Rev Dis Primers 2019; 5:52. [PMID: 31371720 PMCID: PMC7370844 DOI: 10.1038/s41572-019-0102-3] [Citation(s) in RCA: 296] [Impact Index Per Article: 59.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/27/2019] [Indexed: 12/15/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a highly prevalent and chronic condition that is associated with substantial global disability. OCD is the key example of the 'obsessive-compulsive and related disorders', a group of conditions which are now classified together in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and the International Classification of Diseases, 11th Revision, and which are often underdiagnosed and undertreated. In addition, OCD is an important example of a neuropsychiatric disorder in which rigorous research on phenomenology, psychobiology, pharmacotherapy and psychotherapy has contributed to better recognition, assessment and outcomes. Although OCD is a relatively homogenous disorder with similar symptom dimensions globally, individualized assessment of symptoms, the degree of insight, and the extent of comorbidity is needed. Several neurobiological mechanisms underlying OCD have been identified, including specific brain circuits that underpin OCD. In addition, laboratory models have demonstrated how cellular and molecular dysfunction underpins repetitive stereotyped behaviours, and the genetic architecture of OCD is increasingly understood. Effective treatments for OCD include serotonin reuptake inhibitors and cognitive-behavioural therapy, and neurosurgery for those with intractable symptoms. Integration of global mental health and translational neuroscience approaches could further advance knowledge on OCD and improve clinical outcomes.
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Affiliation(s)
- Dan J. Stein
- Department of Psychiatry, University of Cape Town and SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Daniel L. C. Costa
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Christine Lochner
- Department of Psychiatry, Stellenbosch University and SA MRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch, South Africa
| | - Euripedes C. Miguel
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Y. C. Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Roseli G. Shavitt
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Odile A. van den Heuvel
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - H. Blair Simpson
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA
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16
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Mitelman SA. Transdiagnostic neuroimaging in psychiatry: A review. Psychiatry Res 2019; 277:23-38. [PMID: 30639090 DOI: 10.1016/j.psychres.2019.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/07/2019] [Accepted: 01/07/2019] [Indexed: 01/10/2023]
Abstract
Transdiagnostic approach has a long history in neuroimaging, predating its recent ascendance as a paradigm for new psychiatric nosology. Various psychiatric disorders have been compared for commonalities and differences in neuroanatomical features and activation patterns, with different aims and rationales. This review covers both structural and functional neuroimaging publications with direct comparison of different psychiatric disorders, including schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, conduct disorder, anorexia nervosa, and bulimia nervosa. Major findings are systematically presented along with specific rationales for each comparison.
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Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY 11373, USA.
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17
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Norman LJ, Taylor SF, Liu Y, Radua J, Chye Y, De Wit SJ, Huyser C, Karahanoglu FI, Luks T, Manoach D, Mathews C, Rubia K, Suo C, van den Heuvel OA, Yücel M, Fitzgerald K. Error Processing and Inhibitory Control in Obsessive-Compulsive Disorder: A Meta-analysis Using Statistical Parametric Maps. Biol Psychiatry 2019; 85:713-725. [PMID: 30595231 PMCID: PMC6474799 DOI: 10.1016/j.biopsych.2018.11.010] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 10/26/2018] [Indexed: 02/08/2023]
Abstract
BACKGROUND Error processing and inhibitory control enable the adjustment of behaviors to meet task demands. Functional magnetic resonance imaging studies report brain activation abnormalities in patients with obsessive-compulsive disorder (OCD) during both processes. However, conclusions are limited by inconsistencies in the literature and small sample sizes. Therefore, the aim here was to perform a meta-analysis of the existing literature using unthresholded statistical maps from previous studies. METHODS A voxelwise seed-based d mapping meta-analysis was performed using t-maps from studies comparing patients with OCD and healthy control subjects (HCs) during error processing and inhibitory control. For the error processing analysis, 239 patients with OCD (120 male; 79 medicated) and 229 HCs (129 male) were included, while the inhibitory control analysis included 245 patients with OCD (120 male; 91 medicated) and 239 HCs (135 male). RESULTS Patients with OCD, relative to HCs, showed longer inhibitory control reaction time (standardized mean difference = 0.20, p = .03, 95% confidence interval = 0.016, 0.393) and more inhibitory control errors (standardized mean difference = 0.22, p = .02, 95% confidence interval = 0.039, 0.399). In the brain, patients showed hyperactivation in the bilateral dorsal anterior cingulate cortex, supplementary motor area, and pre-supplementary motor area as well as right anterior insula/frontal operculum and anterior lateral prefrontal cortex during error processing but showed hypoactivation during inhibitory control in the rostral and ventral anterior cingulate cortices and bilateral thalamus/caudate, as well as the right anterior insula/frontal operculum, supramarginal gyrus, and medial orbitofrontal cortex (all seed-based d mapping z value >2, p < .001). CONCLUSIONS A hyperactive error processing mechanism in conjunction with impairments in implementing inhibitory control may underlie deficits in stopping unwanted compulsive behaviors in the disorder.
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Affiliation(s)
- Luke J. Norman
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Stephan F. Taylor
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Yanni Liu
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
| | - Joaquim Radua
- Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain,Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK,Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Yann Chye
- Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Stella J. De Wit
- Amsterdam University Medical Centers, Vrije Universiteit, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, The Netherlands,GGZ inGeest Specialized Mental Health Care, Amsterdam, The Netherlands
| | - Chaim Huyser
- Bascule, Academic Centre for Children and Adolescent Psychiatry, Amsterdam, Netherlands
| | - F. Isik Karahanoglu
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Tracy Luks
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA
| | - Dara Manoach
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, USA,Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, USA
| | - Carol Mathews
- Department of Psychiatry and Center for OCD, Anxiety and Related Disorders, University of Florida, Gainesville, Florida, USA
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Chao Suo
- Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Odile A. van den Heuvel
- Amsterdam University Medical Centers, Vrije Universiteit, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, The Netherlands,OCD-Team, Haukeland University Hospital, Bergen, Norway
| | - Murat Yücel
- Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, Melbourne, Australia,Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Kate Fitzgerald
- Department of Psychiatry, Medical School, University of Michigan, Ann Arbor, USA
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18
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Rubia K. White Matter Structure and Delay Tolerance in Attention-Deficit/Hyperactivity Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:213-215. [PMID: 30827478 DOI: 10.1016/j.bpsc.2019.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 01/18/2019] [Indexed: 11/27/2022]
Affiliation(s)
- Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
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19
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Cabarkapa S, King JA, Dowling N, Ng CH. Co-Morbid Obsessive-Compulsive Disorder and Attention Deficit Hyperactivity Disorder: Neurobiological Commonalities and Treatment Implications. Front Psychiatry 2019; 10:557. [PMID: 31456703 PMCID: PMC6700219 DOI: 10.3389/fpsyt.2019.00557] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 07/16/2019] [Indexed: 11/13/2022] Open
Affiliation(s)
- Sonja Cabarkapa
- The Melbourne Clinic, Richmond, VIC, Australia.,St Vincent's Health, Melbourne, VIC, Australia
| | - Joel A King
- The Melbourne Clinic, Richmond, VIC, Australia.,The University of Melbourne, Melbourne, VIC, Australia
| | - Nathan Dowling
- The Melbourne Clinic, Richmond, VIC, Australia.,The University of Melbourne, Melbourne, VIC, Australia
| | - Chee H Ng
- The Melbourne Clinic, Richmond, VIC, Australia.,The University of Melbourne, Melbourne, VIC, Australia
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20
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Jiang X, Liu L, Ji H, Zhu Y. Association of Affected Neurocircuitry With Deficit of Response Inhibition and Delayed Gratification in Attention Deficit Hyperactivity Disorder: A Narrative Review. Front Hum Neurosci 2018; 12:506. [PMID: 30618685 PMCID: PMC6305413 DOI: 10.3389/fnhum.2018.00506] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 12/05/2018] [Indexed: 12/11/2022] Open
Abstract
The neural networks that constitute corticostriatothalamocortical circuits between prefrontal cortex and subcortical structure provide a heuristic framework for bridging gaps between neurocircuitry and executive dysfunction in attention deficit hyperactivity disorder (ADHD). “Cool” and “Hot” executive functional theory and the models of dual pathway are supposed to be applied within the neuropsychology of ADHD. The theoretical model elaborated response inhibition and delayed gratification in ADHD. We aimed to review and summarize the literature about the circuits on ADHD and ADHD-related comorbidities, as well as the effects of neurocircuitry on the executive dysfunction in ADHD.
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Affiliation(s)
- Xixi Jiang
- Shanghai Changning Mental Health Center, Affiliated Greenland Hospital of Bio-X Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Li Liu
- Shanghai Changning Mental Health Center, Affiliated Greenland Hospital of Bio-X Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Haifeng Ji
- Shanghai Changning Mental Health Center, Affiliated Greenland Hospital of Bio-X Institute, Shanghai Jiao Tong University, Shanghai, China
| | - Yuncheng Zhu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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21
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Güngör B, Budak E, Taymur I, Zorlu N, Ucgun B, Akgul A, Demirci H. The comparison of risky and ambiguity decision making and cool executive functions between patients with obsessive compulsive disorder and healthy controls. ARCH CLIN PSYCHIAT 2018. [DOI: 10.1590/0101-60830000000170] [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] [Indexed: 11/22/2022] Open
Affiliation(s)
- Buket Güngör
- Istanbul Bakırköy Mental Health Training and Research Hospital, Turkey
| | - Ersin Budak
- University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Turkey
| | - Ibrahim Taymur
- University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Turkey
| | | | - Burcu Ucgun
- University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Turkey
| | - Almila Akgul
- University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Turkey
| | - Hakan Demirci
- University of Health Sciences Bursa Yuksek Ihtisas Training and Research Hospital, Turkey
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22
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Waiting and working for rewards: Attention-Deficit/Hyperactivity Disorder is associated with steeper delay discounting linked to amygdala activation, but not with steeper effort discounting. Cortex 2018; 106:164-173. [PMID: 30005368 DOI: 10.1016/j.cortex.2018.05.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 04/20/2018] [Accepted: 05/28/2018] [Indexed: 11/20/2022]
Abstract
OBJECTIVE Children and adolescents with ADHD have a relatively strong preference for smaller immediate rewards over larger delayed rewards (steep delay discounting). It is unknown whether such steep discounting of rewards is specific for delayed rewards, i.e., supporting the delay aversion account of ADHD, or whether it is also present for effortful rewards, i.e., representing general reward insensitivity. Therefore, this study examined behavioral and BOLD responses during delay discounting (DD) and effort discounting (ED) in ADHD. METHOD Thirty adolescents with ADHD and 28 controls (12-17 years) were scanned while performing a DD-ED task (fMRI findings were based on 21 and 25 participants, respectively). During DD, participants were presented with a series of choices between a small reward delivered immediately and a larger reward delivered after 5-25s. During ED, participants were presented with choices between a small reward that was delivered after exerting 15% of their maximal hand grip strength and a larger reward delivered after exerting 30-90% of their strength. RESULTS Analyses on the subjective values of delayed and effortful rewards and on the Area Under the discounting Curves (AUCs) indicated that adolescents with ADHD showed steeper discounting than controls for DD, but not for ED. This was accompanied by a slightly stronger delay dose-response relationship in the amygdala for adolescents with ADHD who reported to be more delay averse in daily life. CONCLUSION Together, these results-steeper DD in the ADHD group and a stronger delay dose-response relationship in the amygdala, while no evidence for group differences in ED was found-support the delay aversion account of ADHD.
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23
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Rubia K. Cognitive Neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) and Its Clinical Translation. Front Hum Neurosci 2018; 12:100. [PMID: 29651240 PMCID: PMC5884954 DOI: 10.3389/fnhum.2018.00100] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 03/05/2018] [Indexed: 01/01/2023] Open
Abstract
This review focuses on the cognitive neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) based on functional magnetic resonance imaging (fMRI) studies and on recent clinically relevant applications such as fMRI-based diagnostic classification or neuromodulation therapies targeting fMRI deficits with neurofeedback (NF) or brain stimulation. Meta-analyses of fMRI studies of executive functions (EFs) show that ADHD patients have cognitive-domain dissociated complex multisystem impairments in several right and left hemispheric dorsal, ventral and medial fronto-cingulo-striato-thalamic and fronto-parieto-cerebellar networks that mediate cognitive control, attention, timing and working memory (WM). There is furthermore emerging evidence for abnormalities in orbital and ventromedial prefrontal and limbic areas that mediate motivation and emotion control. In addition, poor deactivation of the default mode network (DMN) suggests an abnormal interrelationship between hypo-engaged task-positive and poorly "switched off" hyper-engaged task-negative networks, both of which are related to impaired cognition. Translational cognitive neuroscience in ADHD is still in its infancy. Pattern recognition analyses have attempted to provide diagnostic classification of ADHD using fMRI data with respectable classification accuracies of over 80%. Necessary replication studies, however, are still outstanding. Brain stimulation has been tested in heterogeneously designed, small numbered proof of concept studies targeting key frontal functional impairments in ADHD. Transcranial direct current stimulation (tDCS) appears to be promising to improve ADHD symptoms and cognitive functions based on some studies, but larger clinical trials of repeated stimulation with and without cognitive training are needed to test clinical efficacy and potential costs on non-targeted functions. Only three studies have piloted NF of fMRI-based frontal dysfunctions in ADHD using fMRI or near-infrared spectroscopy, with the two larger ones finding some improvements in cognition and symptoms, which, however, were not superior to the active control conditions, suggesting potential placebo effects. Neurotherapeutics seems attractive for ADHD due to their safety and potential longer-term neuroplastic effects, which drugs cannot offer. However, they need to be thoroughly tested for short- and longer-term clinical and cognitive efficacy and their potential for individualized treatment.
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Affiliation(s)
- Katya Rubia
- Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King’s College London, London, United Kingdom
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24
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Norman LJ, Carlisi CO, Christakou A, Murphy CM, Chantiluke K, Giampietro V, Simmons A, Brammer M, Mataix-Cols D, Rubia K. Frontostriatal Dysfunction During Decision Making in Attention-Deficit/Hyperactivity Disorder and Obsessive-Compulsive Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 3:694-703. [PMID: 29706587 PMCID: PMC6278892 DOI: 10.1016/j.bpsc.2018.03.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2017] [Revised: 02/16/2018] [Accepted: 03/07/2018] [Indexed: 12/11/2022]
Abstract
Background The aim of the current paper is to provide the first comparison of computational mechanisms and neurofunctional substrates in adolescents with attention-deficit/hyperactivity disorder (ADHD) and adolescents with obsessive-compulsive disorder (OCD) during decision making under ambiguity. Methods Sixteen boys with ADHD, 20 boys with OCD, and 20 matched control subjects (12–18 years of age) completed a functional magnetic resonance imaging version of the Iowa Gambling Task. Brain activation was compared between groups using three-way analysis of covariance. Hierarchical Bayesian analysis was used to compare computational modeling parameters between groups. Results Patient groups shared reduced choice consistency and relied less on reinforcement learning during decision making relative to control subjects, while adolescents with ADHD alone demonstrated increased reward sensitivity. During advantageous choices, both disorders shared underactivation in ventral striatum, while OCD patients showed disorder-specific underactivation in the ventromedial orbitofrontal cortex. During outcome evaluation, shared underactivation to losses in patients relative to control subjects was found in the medial prefrontal cortex and shared underactivation to wins was found in the left putamen/caudate. ADHD boys showed disorder-specific dysfunction in the right putamen/caudate, which was activated more to losses in patients with ADHD but more to wins in control subjects. Conclusions The findings suggest shared deficits in using learned reward expectancies to guide decision making, as well as shared dysfunction in medio-fronto-striato-limbic brain regions. However, findings of unique dysfunction in the ventromedial orbitofrontal cortex in OCD and in the right putamen in ADHD indicate additional, disorder-specific abnormalities and extend similar findings from inhibitory control tasks in the disorders to the domain of decision making under ambiguity.
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Affiliation(s)
- Luke J Norman
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.
| | - Christina O Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; Division of Psychology and Language Sciences, Department of Clinical, Education and Health Psychology, University College London, London, United Kingdom
| | - Anastasia Christakou
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom
| | - Clodagh M Murphy
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, London, United Kingdom
| | - Kaylita Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom; National Institute for Health Research Biomedical Research Centre for Mental Health, South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, United Kingdom
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Vetter NC, Buse J, Backhausen LL, Rubia K, Smolka MN, Roessner V. Anterior insula hyperactivation in ADHD when faced with distracting negative stimuli. Hum Brain Mapp 2018; 39:2972-2986. [PMID: 29569801 DOI: 10.1002/hbm.24053] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 03/08/2018] [Accepted: 03/12/2018] [Indexed: 01/30/2023] Open
Abstract
Patients with attention deficit hyperactivity disorder (ADHD) suffer from poor emotion regulation that might arise from problems in the distribution of attentional resources when confronted with emotional distractors. Previous studies investigating the neurocognitive basis of these problems remain inconclusive. Moreover, most of these studies did not exclude participants with comorbidity, particularly of conduct or oppositional defiant disorder. The aim of this study was to assess alterations in fronto-limbic activation in ADHD adolescents specifically during negative distractors in an emotional attention task. For this purpose, we used functional magnetic resonance imaging to assess 25 boys with noncomorbid ADHD and 25 typically developing (TD) boys while they performed an emotional attention task with positive, negative, and neutral emotional distractors. Boys with ADHD had increased activation relative to TD boys specifically during the negative valenced stimuli in an emotional processing network comprising left anterior insula reaching into the inferior frontal gyrus. The findings suggest altered salience processing in ADHD of negative valenced emotional stimuli that may lead to higher distractibility in ADHD specifically when faced with negative emotional distractors.
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Affiliation(s)
- Nora C Vetter
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany.,Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Judith Buse
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Lea L Backhausen
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Katya Rubia
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
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