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Nogueira MG, Silvestrin M, Barreto CSF, Sato JR, Mesquita RC, Biazoli C, Baptista AF. Differences in brain activity between fast and slow responses on psychomotor vigilance task: an fNIRS study. Brain Imaging Behav 2022; 16:1563-1574. [PMID: 35091973 DOI: 10.1007/s11682-021-00611-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2021] [Indexed: 11/29/2022]
Abstract
Attention is a basic human function underlying every other cognitive process. It is demonstrated in the functional Magnetic Resonance Imaging literature that frontoparietal networks are involved with attentive performance while default mode networks are involved with inattentive performance. Yet, it is still not clear whether similar results would be found with functional Near-Infrared Spectroscopy. The goal of our study was to investigate differences in hemodynamic activity measured by functional Near-Infrared Spectroscopy between fast and slow responses on a simple sustained attention task both before and after stimulus onset. Thirty healthy adults took part in the study. Our results have shown differences between fast and slow responses only on channels over medial frontal cortex and inferior parietal cortex (p < 0,05). These differences were observed both before and after stimulus presentation. It is discussed that functional Near-Infrared Spectroscopy is a good tool to investigate the frontoparietal network and its relationship with performance in attention tasks; it could be used to further investigate other approaches on attention, such as the dual network model of cognitive control and brain states views based on complex systems analysis; and finally, it could be used to investigate attention in naturalistic settings.
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Affiliation(s)
- Mateus G Nogueira
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil
| | - Mateus Silvestrin
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil
| | - Cândida S F Barreto
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil
| | - João Ricardo Sato
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil
| | | | - Claudinei Biazoli
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil
| | - Abrahão F Baptista
- Center for Mathematics, Computation and Cognition, UFABC - Universidade Federal do ABC -SP, Avenida dos Estados, 5001, Bloco B, Sala 803, São Bernardo do Campo, Brazil.
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2
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Cao H, Cannon TD. Distinct and temporally associated neural mechanisms underlying concurrent, postsuccess, and posterror cognitive controls: Evidence from a stop-signal task. Hum Brain Mapp 2021; 42:2677-2690. [PMID: 33797816 PMCID: PMC8127156 DOI: 10.1002/hbm.25347] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/03/2021] [Accepted: 01/08/2021] [Indexed: 11/06/2022] Open
Abstract
Cognitive control is built upon the interactions of multiple brain regions. It is currently unclear whether the involved regions are temporally separable in relation to different cognitive processes and how these regions are temporally associated in relation to different task performances. Here, using stop-signal task data acquired from 119 healthy participants, we showed that concurrent and poststop cognitive controls were associated with temporally distinct but interrelated neural mechanisms. Specifically, concurrent cognitive control activated regions in the cingulo-opercular network (including the dorsal anterior cingulate cortex [dACC], insula, and thalamus), together with superior temporal gyrus, secondary motor areas, and visual cortex; while regions in the fronto-parietal network (including the lateral prefrontal cortex [lPFC] and inferior parietal lobule) and cerebellum were only activated during poststop cognitive control. The associations of activities between concurrent and poststop regions were dependent on task performance, with the most notable difference in the cerebellum. Importantly, while concurrent and poststop signals were significantly correlated during successful cognitive control, concurrent activations during erroneous trials were only correlated with posterror activations in the fronto-parietal network but not cerebellum. Instead, the cerebellar activation during posterror cognitive control was likely to be driven secondarily by posterror activation in the lPFC. Further, a dynamic causal modeling analysis demonstrated that postsuccess cognitive control was associated with inhibitory connectivity from the lPFC to cerebellum, while excitatory connectivity from the lPFC to cerebellum was present during posterror cognitive control. Overall, these findings suggest dissociable but temporally related neural mechanisms underlying concurrent, postsuccess, and posterror cognitive control processes in healthy individuals.
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Affiliation(s)
- Hengyi Cao
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, New York, USA.,Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York, USA.,Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA.,Department of Psychology, Yale University, New Haven, Connecticut, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut, USA.,Department of Psychiatry, Yale University, New Haven, Connecticut, USA
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3
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Abstract
Culture is part of an extensive series of feedback loops, which involve multiple organismic levels including social contexts, cognitive mediations, neural processes, and behavior. Recent studies in neuroscience show that culturally contingent social processes shape some neural pathways. Studying the influence of cultural context on neural processes may yield new insights into psychiatric disorders. New methodologies in the neurosciences offer innovative ways to assess the impact of culture on mental health and illness. However, implementing these methodologies raises important theoretical and ethical concerns, which must be resolved to address patient individuality and the complexity of cultural diversity. This article discusses cultural context as a major influence on (and consequence of) human neural plasticity and advocates a culture-brain-behavior (CBB) interaction model for conceptualizing the relationship between culture, brain, and psychiatric disorders. Recommendations are made for integrating neuroscientific techniques into transcultural psychiatric research by taking a systems approach to evaluating disorders.
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Abstract
Obsessive-compulsive disorder is a relatively common disorder seen in autism spectrum disorder across the lifespan. Many obsessive-compulsive disorder symptoms can present similarly to the core features of autism spectrum disorder and it is often difficult to differentiate between obsessive-compulsive disorder and stereotypic behaviors or restricted interests in autism spectrum disorder. However, there are differences between the 2 disorders. This article is a review of the current literature with the goal of helping the clinician to diagnose and treat obsessive-compulsive disorder in a patient with autism spectrum disorder.
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5
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Lord C, Brugha TS, Charman T, Cusack J, Dumas G, Frazier T, Jones EJH, Jones RM, Pickles A, State MW, Taylor JL, Veenstra-VanderWeele J. Autism spectrum disorder. Nat Rev Dis Primers 2020; 6:5. [PMID: 31949163 PMCID: PMC8900942 DOI: 10.1038/s41572-019-0138-4] [Citation(s) in RCA: 572] [Impact Index Per Article: 143.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/26/2019] [Indexed: 12/27/2022]
Abstract
Autism spectrum disorder is a construct used to describe individuals with a specific combination of impairments in social communication and repetitive behaviours, highly restricted interests and/or sensory behaviours beginning early in life. The worldwide prevalence of autism is just under 1%, but estimates are higher in high-income countries. Although gross brain pathology is not characteristic of autism, subtle anatomical and functional differences have been observed in post-mortem, neuroimaging and electrophysiological studies. Initially, it was hoped that accurate measurement of behavioural phenotypes would lead to specific genetic subtypes, but genetic findings have mainly applied to heterogeneous groups that are not specific to autism. Psychosocial interventions in children can improve specific behaviours, such as joint attention, language and social engagement, that may affect further development and could reduce symptom severity. However, further research is necessary to identify the long-term needs of people with autism, and treatments and the mechanisms behind them that could result in improved independence and quality of life over time. Families are often the major source of support for people with autism throughout much of life and need to be considered, along with the perspectives of autistic individuals, in both research and practice.
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Affiliation(s)
- Catherine Lord
- Departments of Psychiatry and School of Education, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Traolach S Brugha
- Department of Health Sciences, University of Leicester, Leicester, UK
| | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Guillaume Dumas
- Institut Pasteur, UMR3571 CNRS, Université de Paris, Paris, France
| | | | - Emily J H Jones
- Centre for Brain & Cognitive Development, University of London, London, UK
| | - Rebecca M Jones
- The Sackler Institute for Developmental Psychobiology, New York, NY, USA
- The Center for Autism and the Developing Brain, White Plains, NY, USA
| | - Andrew Pickles
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Matthew W State
- Department of Psychiatry, Langley Porter Psychiatric Institute and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Julie Lounds Taylor
- Department of Pediatrics and Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN, USA
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6
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Examining overlap and homogeneity in ASD, ADHD, and OCD: a data-driven, diagnosis-agnostic approach. Transl Psychiatry 2019; 9:318. [PMID: 31772171 PMCID: PMC6880188 DOI: 10.1038/s41398-019-0631-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 10/04/2019] [Accepted: 10/20/2019] [Indexed: 12/18/2022] Open
Abstract
The validity of diagnostic labels of autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open question given the mounting evidence that these categories may not correspond to conditions with distinct etiologies, biologies, or phenotypes. The objective of this study was to determine the agreement between existing diagnostic labels and groups discovered based on a data-driven, diagnosis-agnostic approach integrating cortical neuroanatomy and core-domain phenotype features. A machine learning pipeline, called bagged-multiview clustering, was designed to discover homogeneous subgroups by integrating cortical thickness data and measures of core-domain phenotypic features of ASD, ADHD, and OCD. This study was conducted using data from the Province of Ontario Neurodevelopmental Disorders (POND) Network, a multi-center study in Ontario, Canada. Participants (n = 226) included children between the ages of 6 and 18 with a diagnosis of ASD (n = 112, median [IQR] age = 11.7[4.8], 21% female), ADHD (n = 58, median [IQR] age = 10.2[3.3], 14% female), or OCD (n = 34, median [IQR] age = 12.1[4.2], 38% female), as well as typically developing controls (n = 22, median [IQR] age = 11.0[3.8], 55% female). The diagnosis-agnostic groups were significantly different than each other in phenotypic characteristics (SCQ: χ2(9) = 111.21, p < 0.0001; SWAN: χ2(9) = 142.44, p < 0.0001) as well as cortical thickness in 75 regions of the brain. The analyses revealed disagreement between existing diagnostic labels and the diagnosis-agnostic homogeneous groups (normalized mutual information < 0.20). Our results did not support the validity of existing diagnostic labels of ASD, ADHD, and OCD as distinct entities with respect to phenotype and cortical morphology.
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7
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Gadelkarim W, Shahper S, Reid J, Wikramanayake M, Kaur S, Kolli S, Osman S, Fineberg NA. Overlap of obsessive-compulsive personality disorder and autism spectrum disorder traits among OCD outpatients: an exploratory study. Int J Psychiatry Clin Pract 2019; 23:297-306. [PMID: 31375037 DOI: 10.1080/13651501.2019.1638939] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background: Whereas the phenomenology of obsessive-compulsive personality disorder (OCPD) shows similarities to that of obsessive compulsive and related disorders (OCRDs) as well as with autism spectrum disorder (ASD), the relationship between these disorders is poorly understood.Aims: Within a clinical sample, we aimed to investigate the distribution of OCD, OCPD and ASD symptoms and traits and their interrelationship, as well as to evaluate insight and treatment refractoriness.Methods: Consecutive adult OCD outpatients were assessed for OCPD traits (Compulsive Personality Assessment Scale (CPAS)), OCD symptoms (Yale-Brown Obsessive Compulsive Scale (Y-BOCS)), ASD traits (Autism Spectrum Quotient (AQ)), insight (Brown Assessment of Beliefs Scale (BABS)) and treatment resistance (clinical records). Those scoring highly on the AQ underwent a diagnostic interview for ASD.Results: Sixty-seven consenting individuals completed the CPAS, BABS and AQ, and 65 completed the Y-BOCS. Twenty-four patients (35.8%) were diagnosed with OCPD. Patients with OCPD were less likely to be employed (p=.04). They demonstrated elevated AQ scores (p=.004) and rates of ASD diagnosis (54.2%) (p <.001). OCPD traits (CPAS) showed a highly significant correlation with ASD traits (AQ) (p<.001), and no association with Y-BOCS, BABS or treatment resistance.Conclusions: In an OCD cohort limited by small size, OCPD associated strongly with unemployment and ASD, with implications for diagnosis, treatment and outcome.KEY POINTSClinicians should exercise a high level of vigilance for OCPD and ASD in patients presenting with obsessive compulsive symptoms.The presence of OCPD may indicate a likelihood of disabling ASD traits, including cognitive inflexibility, poor central coherence and poor social communication.These neuropsychological factors may require separate clinical intervention strategies.
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Affiliation(s)
- W Gadelkarim
- Rosanne House, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK.,Derwent Centre, Essex Partnership University NHS Foundation Trust, Harlow, UK
| | - S Shahper
- Department of Life and Medical Science, University of Hertfordshire, Hatfield, UK
| | - J Reid
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK
| | - M Wikramanayake
- Cavell Centre, Cambridgeshire and Peterborough NHS Foundation Trust, Peterborough, UK
| | - S Kaur
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK
| | - S Kolli
- East London NHS Foundation Trust, Bedford, UK
| | - S Osman
- Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle, UK
| | - N A Fineberg
- Highly Specialised OCD/BDD Services, Hertfordshire Partnership University NHS Foundation Trust, Welwyn Garden City, UK.,Postgraduate Medical School, University of Hertfordshire, Hatfield, UK.,University of Cambridge, School of Clinical Medicine, Cambridge, UK
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8
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Kowalczyk OS, Cubillo AI, Smith A, Barrett N, Giampietro V, Brammer M, Simmons A, Rubia K. Methylphenidate and atomoxetine normalise fronto-parietal underactivation during sustained attention in ADHD adolescents. Eur Neuropsychopharmacol 2019; 29:1102-1116. [PMID: 31358436 DOI: 10.1016/j.euroneuro.2019.07.139] [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: 11/07/2018] [Revised: 07/08/2019] [Accepted: 07/15/2019] [Indexed: 02/02/2023]
Abstract
Problems with sustained attention are a key clinical feature of Attention Deficit/Hyperactivity Disorder (ADHD) which also manifests in poor performance and abnormal fronto-striato-parietal activation during sustained attention. Methylphenidate and atomoxetine improve attention functions and upregulate abnormal fronto-cortical activation during executive function tasks in ADHD patients. Despite this, no functional Magnetic Resonance Imaging (fMRI) study has compared the effects of methylphenidate and atomoxetine on the neurofunctional substrates of sustained attention in ADHD. This randomised, double-blind, placebo-controlled, cross-over study investigated the comparative normalisation effects of methylphenidate and atomoxetine on fMRI correlates and performance in 14 ADHD adolescents relative to 27 age-matched healthy controls during a parametric sustained attention/vigilance task with progressively increasing load of sustained attention. ADHD patients were scanned three times under a single clinical dose of either methylphenidate, atomoxetine, or placebo in pseudo-randomised order. Healthy controls were scanned once and compared to patients under each drug condition to test for potential drug-normalisation effects. Relative to controls, ADHD boys under placebo were impaired in performance and had underactivation in predominantly right-hemispheric fronto-parietal, and striato-thalamic regions. Both drugs normalised all underactivations, while only methylphenidate improved performance deficits. Within patients, methylphenidate had a drug-specific effect of upregulating left ventrolateral prefrontal/superior temporal activation relative to placebo and atomoxetine, while both drugs increased activation of right middle/superior temporal cortex, posterior cingulate, and precuneus relative to placebo. The study shows shared normalisation effects of methylphenidate and atomoxetine on fronto-striato-thalamo-parietal dysfunction in ADHD during sustained attention but a drug-specific upregulation effects of methylphenidate on ventral fronto-temporal regions.
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Affiliation(s)
- Olivia S Kowalczyk
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, De Crespigny Park, London SE5 8AF, UK.
| | - Ana I Cubillo
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, De Crespigny Park, London SE5 8AF, UK; Jacobs Center for Productive Youth Development, Zurich Center for Neuroeconomics, University of Zürich, Switzerland
| | - Anna Smith
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, De Crespigny Park, London SE5 8AF, UK
| | - Nadia Barrett
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, De Crespigny Park, London SE5 8AF, UK
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, UK
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, UK; Centre for Neurodegeneration Research, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; NIHR Biomedical Research Centre for Mental Health at South London and Maudsley NHS Trust and Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
| | - Katya Rubia
- Department of Child & Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King´s College London, De Crespigny Park, London SE5 8AF, UK
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9
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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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10
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Makushkin EV, Makarov IV, Pashkovskiy VE. [The prevalence of autism: genuine and imaginary]. Zh Nevrol Psikhiatr Im S S Korsakova 2019; 119:80-86. [PMID: 30874532 DOI: 10.17116/jnevro201911902180] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In this review, the authors analyze the causes of the high prevalence of autism spectrum disorders (ASD) in recent decades. It is shown that the expansion of the boundaries of the 'autistic spectrum' concept led to a significant spread of data on its prevalence, depending on the time, diagnostic criteria, country and region. Stability of the diagnosis of ASD is not high and depends on the age of the child. Diagnostic practice in comorbid psychiatric disorders unfairly shifted toward ASD. At the same time, the hypothesis on the uniqueness of autistic manifestations in infancy is not convincingly confirmed. The practical aspect of the problem of the epidemiology of autism does not exclude, but on the contrary, presupposes early detection of nonspecific mental disorders followed by medical-psychological-pedagogical correction.
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Affiliation(s)
- E V Makushkin
- Serbsky National Medical Research Center for Psychiatry and Narcology, Moscow, Russia
| | - I V Makarov
- Bekhterev National Research Medical Center for Psychiatry and Neurology, St. Petersburg, Russia; Mechnikov North-Western State Medical University, St. Petersburg, Russia
| | - V E Pashkovskiy
- Mechnikov North-Western State Medical University, St. Petersburg, Russia
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11
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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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12
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Deng K, Qi T, Xu J, Jiang L, Zhang F, Dai N, Cheng Y, Xu X. Reduced Interhemispheric Functional Connectivity in Obsessive-Compulsive Disorder Patients. Front Psychiatry 2019; 10:418. [PMID: 31249539 PMCID: PMC6584782 DOI: 10.3389/fpsyt.2019.00418] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 05/24/2019] [Indexed: 11/25/2022] Open
Abstract
Background: Neuroimaging studies have shown that the high synchrony of spontaneous neural activity in the homotopic regions between hemispheres is an important functional structural feature of normal human brains, and this feature is abnormal in the patients with various mental disorders. However, little is known about this feature in obsessive-compulsive disorder (OCD). This study aimed to further analyze the underlying neural mechanisms of OCD and to explore whether clinical characteristics are correlated with the alerted homotopic connectivity in patients with OCD. Methods: Using voxel-mirrored homotopic connectivity (VMHC) during resting state, we compared 46 OCD patients and 46 healthy controls (HCs) matched for age, gender, and education level. A partial correlation analysis was used to investigate the relationship between altered VMHC and clinical characteristics in patients with OCD. Results: Patients with OCD showed lower VMHC than HCs in fusiform gyrus/inferior occipital gyrus, lingual gyrus, postcentral gyrus/precentral gyrus, putamen, and orbital frontal gyrus. A significant positive correlation was observed between altered VMHC in the angular gyrus/middle occipital gyrus and illness duration in patients. Conclusions: Interhemispheric functional imbalance may be an essential aspect of the pathophysiological mechanism of OCD, which is reflected not only in the cortico-striato-thalamo-cortical (CSTC) loop but also elsewhere in the brain.
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Affiliation(s)
- Ke Deng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tianfu Qi
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jian Xu
- Department of Rheumatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Linlin Jiang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.,Yunan Key Laboratory of Laboratory Medicine, Kunming, China
| | - Fengrui Zhang
- Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Nan Dai
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
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13
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Hayes J, Ford T, Rafeeque H, Russell G. Clinical practice guidelines for diagnosis of autism spectrum disorder in adults and children in the UK: a narrative review. BMC Psychiatry 2018; 18:222. [PMID: 30005612 PMCID: PMC6044100 DOI: 10.1186/s12888-018-1800-1] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 06/26/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Research suggests that diagnostic procedures for Autism Spectrum Disorder are not consistent across practice and that diagnostic rates can be affected by contextual and social drivers. The purpose of this review was to consider how the content of clinical practice guidelines shapes diagnoses of Autism Spectrum Disorder in the UK; and investigate where, within those guidelines, social factors and influences are considered. METHODS We electronically searched multiple databases (NICE Evidence Base; TRIP; Social Policy and Practice; US National Guidelines Clearinghouse; HMIC; The Cochrane Library; Embase; Global health; Ovid; PsychARTICLES; PsychINFO) and relevant web sources (government, professional and regional NHS websites) for clinical practice guidelines. We extracted details of key diagnostic elements such as assessment process and diagnostic tools. A qualitative narrative analysis was conducted to identify social factors and influences. RESULTS Twenty-one documents were found and analysed. Guidelines varied in recommendations for use of diagnostic tools and assessment procedures. Although multidisciplinary assessment was identified as the 'ideal' assessment, some guidelines suggested in practice one experienced healthcare professional was sufficient. Social factors in operational, interactional and contextual areas added complexity to guidelines but there were few concrete recommendations as to how these factors should be operationalized for best diagnostic outcomes. CONCLUSION Although individual guidelines appeared to present a coherent and systematic assessment process, they varied enough in their recommendations to make the choices available to healthcare professionals particularly complex and confusing. We recommend a more explicit acknowledgement of social factors in clinical practice guidelines with advice about how they should be managed and operationalised to enable more consistency of practice and transparency for those coming for diagnosis.
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Affiliation(s)
- Jennie Hayes
- University of Exeter Medical School, St Luke’s Campus, University of Exeter, Exeter, EX1 2LU UK
| | - Tamsin Ford
- University of Exeter Medical School, St Luke’s Campus, University of Exeter, Exeter, EX1 2LU UK
| | - Hateem Rafeeque
- University of Exeter Medical School, St Luke’s Campus, University of Exeter, Exeter, EX1 2LU UK
| | - Ginny Russell
- University of Exeter Medical School, St Luke’s Campus, University of Exeter, Exeter, EX1 2LU UK
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14
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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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15
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Carlisi CO, Norman L, Murphy CM, Christakou A, Chantiluke K, Giampietro V, Simmons A, Brammer M, Murphy DG, Mataix-Cols D, Rubia K. Shared and Disorder-Specific Neurocomputational Mechanisms of Decision-Making in Autism Spectrum Disorder and Obsessive-Compulsive Disorder. Cereb Cortex 2017; 27:5804-5816. [PMID: 29045575 PMCID: PMC6919268 DOI: 10.1093/cercor/bhx265] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) often share phenotypes of repetitive behaviors, possibly underpinned by abnormal decision-making. To compare neural correlates underlying decision-making between these disorders, brain activation of boys with ASD (N = 24), OCD (N = 20) and typically developing controls (N = 20) during gambling was compared, and computational modeling compared performance. Patients were unimpaired on number of risky decisions, but modeling showed that both patient groups had lower choice consistency and relied less on reinforcement learning compared to controls. ASD individuals had disorder-specific choice perseverance abnormalities compared to OCD individuals. Neurofunctionally, ASD and OCD boys shared dorsolateral/inferior frontal underactivation compared to controls during decision-making. During outcome anticipation, patients shared underactivation compared to controls in lateral inferior/orbitofrontal cortex and ventral striatum. During reward receipt, ASD boys had disorder-specific enhanced activation in inferior frontal/insular regions relative to OCD boys and controls. Results showed that ASD and OCD individuals shared decision-making strategies that differed from controls to achieve comparable performance to controls. Patients showed shared abnormalities in lateral-(orbito)fronto-striatal reward circuitry, but ASD boys had disorder-specific lateral inferior frontal/insular overactivation, suggesting that shared and disorder-specific mechanisms underpin decision-making in these disorders. Findings provide evidence for shared neurobiological substrates that could serve as possible future biomarkers.
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Affiliation(s)
- Christina O Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Luke Norman
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Clodagh M Murphy
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, UK
| | - Anastasia Christakou
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Kaylita Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) for Mental Health at South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- 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, UK
| | - Declan G Murphy
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK
- Behavioural Genetics Clinic, Adult Autism Service, Behavioural and Developmental Psychiatry Clinical Academic Group, South London and Maudsley Foundation NHS Trust, UK
| | - 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, UK
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Norman LJ, Carlisi CO, Christakou A, Chantiluke K, Murphy C, Simmons A, Giampietro V, Brammer M, Mataix-Cols D, Rubia K. Neural dysfunction during temporal discounting in paediatric Attention-Deficit/Hyperactivity Disorder and Obsessive-Compulsive Disorder. Psychiatry Res 2017; 269:97-105. [PMID: 28988149 PMCID: PMC5647646 DOI: 10.1016/j.pscychresns.2017.09.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 09/06/2017] [Accepted: 09/09/2017] [Indexed: 01/23/2023]
Abstract
Both Attention-Deficit/Hyperactivity Disorder (ADHD) and Obsessive-Compulsive Disorder (OCD) are associated with choice impulsivity, i.e. the tendency to prefer smaller immediate rewards over larger delayed rewards. However, the extent to which this impulsivity is mediated by shared or distinct underlying neural mechanisms is unclear. Twenty-six boys with ADHD, 20 boys with OCD and 20 matched controls (aged 12-18) completed an fMRI version of an individually adjusted temporal discounting (TD) task which requires choosing between a variable amount of money now or £100 in one week, one month or one year. Activations to immediate and delayed reward choices were compared between groups using a three-way ANCOVA. ADHD patients had steeper discounting rates on the task relative to controls. OCD patients did not differ from controls or patients with ADHD. Patients with ADHD and OCD showed predominantly shared activation deficits during TD in fronto-striato-insular-cerebellar regions responsible for self-control and temporal foresight, suggesting that choice impulsivity is mediated by overlapping neural dysfunctions in both disorders. OCD patients alone showed dysfunction relative to controls in right orbitofrontal and rostrolateral prefrontal cortex, extending previous findings of abnormalities in these regions in OCD to the domain of choice impulsiveness.
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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, UK; Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA.
| | - Christina O Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Anastasia Christakou
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK
| | - Kaylita Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Clodagh Murphy
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King׳s College London, London, UK
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) for Mental Health at South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK; Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Division of Clinical Geriatrics, Karolinska Institutet, Stockholm, Sweden
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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17
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Norman LJ, Carlisi CO, Christakou A, Cubillo A, Murphy CM, Chantiluke K, Simmons A, Giampietro V, Brammer M, Mataix-Cols D, Rubia K. Shared and disorder-specific task-positive and default mode network dysfunctions during sustained attention in paediatric Attention-Deficit/Hyperactivity Disorder and obsessive/compulsive disorder. Neuroimage Clin 2017; 15:181-193. [PMID: 28529874 PMCID: PMC5429245 DOI: 10.1016/j.nicl.2017.04.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 03/29/2017] [Accepted: 04/15/2017] [Indexed: 12/24/2022]
Abstract
Patients with Attention-Deficit/Hyperactivity Disorder (ADHD) and obsessive/compulsive disorder (OCD) share problems with sustained attention, and are proposed to share deficits in switching between default mode and task positive networks. The aim of this study was to investigate shared and disorder-specific brain activation abnormalities during sustained attention in the two disorders. Twenty boys with ADHD, 20 boys with OCD and 20 age-matched healthy controls aged between 12 and 18 years completed a functional magnetic resonance imaging (fMRI) version of a parametrically modulated sustained attention task with a progressively increasing sustained attention load. Performance and brain activation were compared between groups. Only ADHD patients were impaired in performance. Group by sustained attention load interaction effects showed that OCD patients had disorder-specific middle anterior cingulate underactivation relative to controls and ADHD patients, while ADHD patients showed disorder-specific underactivation in left dorsolateral prefrontal cortex/dorsal inferior frontal gyrus (IFG). ADHD and OCD patients shared left insula/ventral IFG underactivation and increased activation in posterior default mode network relative to controls, but had disorder-specific overactivation in anterior default mode regions, in dorsal anterior cingulate for ADHD and in anterior ventromedial prefrontal cortex for OCD. In sum, ADHD and OCD patients showed mostly disorder-specific patterns of brain abnormalities in both task positive salience/ventral attention networks with lateral frontal deficits in ADHD and middle ACC deficits in OCD, as well as in their deactivation patterns in medial frontal DMN regions. The findings suggest that attention performance in the two disorders is underpinned by disorder-specific activation patterns.
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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, UK.
| | - Christina O Carlisi
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Anastasia Christakou
- Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK
| | - Ana Cubillo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Clodagh M Murphy
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Kaylita Chantiluke
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Andrew Simmons
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) for Mental Health at South London and Maudsley NHS Foundation Trust and Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Vincent Giampietro
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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