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Virgili G, Neill E, Enticott P, Castle D, Rossell SL. A systematic review of visual processing in body dysmorphic disorder (BDD). Psychiatry Res 2024; 339:116013. [PMID: 38924902 DOI: 10.1016/j.psychres.2024.116013] [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: 02/26/2024] [Revised: 05/06/2024] [Accepted: 06/03/2024] [Indexed: 06/28/2024]
Abstract
To understand the visual preponderance of perceived flaws in appearance in body dysmorphic disorder (BDD), the study of visual processing has been growing. Studies have focused on facial and other basic visual stimuli. The current literature does not provide evidence of consistent behavioural patterns, lacking an overarching body of work describing visual processing in BDD. This systematic review aims to characterise behavioural outcomes of visual processing anomalies and/or deficits in BDD. Articles were collected through online databases MEDLINE and PubMed, and were included if they comprised a clinical BDD group, and were published after 1990. Results indicate that individuals with BDD demonstrate deficits in emotional face processing, a possible overreliance on detail processing, aberrant eye-scanning behaviours, and a tendency to overvalue attractiveness. While findings consistently signal towards visual deficits in BDD, there is lack of clarity as to the type. This inconsistency may be attributed to heterogeneity within BDD samples and differences in experimental design (i.e., stimuli, tasks, conditions). There are difficulties distinguishing between BDD-associated deficits and those associated with OCD or eating disorders. A coherent framework, including sample characterisation and task design will seek to generate clear and consistent behavioural patterns to guide future treatments.
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Affiliation(s)
- Gemma Virgili
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia.
| | - Erica Neill
- Orygen, Centre for Youth Mental Health, University of Melbourne, Vic Australia
| | - Peter Enticott
- Cognitive Neuroscience Unit, Faculty of Health, Deakin University, Burwood, VIC, Australia
| | | | - Susan Lee Rossell
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia
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2
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Diaz-Fong JP, Feusner JD. Visual Perceptual Processing Abnormalities in Body Dysmorphic Disorder. Curr Top Behav Neurosci 2024. [PMID: 38691313 DOI: 10.1007/7854_2024_472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
Phenomenological observations of individuals with body dysmorphic disorder (BDD), coupled with evidence from neuropsychological, psychophysical, and neuroimaging studies, support a model of aberrant visual perception characterized by deficient global/holistic, enhanced detail/local processing, and selective visual-attentional biases. These features may contribute to the core symptomatology of distorted perception of their appearance, in addition to misinterpretation of others' facial expressions and poor insight regarding their misperceived appearance defects. Insights from visual processing studies can contribute to the development of novel interventions, such as perceptual retraining and non-invasive neuromodulation. However, much remains to be understood about visual perception in BDD. Future research should leverage brain imaging modalities with high temporal resolutions and employ study designs that induce conflicts in multisensory integration, thereby advancing our mechanistic understanding of distorted visual perception observed in BDD.
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Affiliation(s)
- Joel P Diaz-Fong
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Jamie D Feusner
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
- Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
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3
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Giersch A, Laprévote V. Perceptual Functioning. Curr Top Behav Neurosci 2023; 63:79-113. [PMID: 36306053 DOI: 10.1007/7854_2022_393] [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] [Indexed: 06/16/2023]
Abstract
Perceptual disorders are not part of the diagnosis criteria for schizophrenia. Yet, a considerable amount of work has been conducted, especially on visual perception abnormalities, and there is little doubt that visual perception is altered in patients. There are several reasons why such perturbations are of interest in this pathology. They are observed during the prodromal phase of psychosis, they are related to the pathophysiology (clinical disorganization, disorders of the sense of self), and they are associated with neuronal connectivity disorders. Perturbations occur at different levels of processing and likely affect how patients interact and adapt to their surroundings. The literature has become very large, and here we try to summarize different models that have guided the exploration of perception in patients. We also illustrate several lines of research by showing how perception has been investigated and by discussing the interpretation of the results. In addition to discussing domains such as contrast sensitivity, masking, and visual grouping, we develop more recent fields like processing at the level of the retina, and the timing of perception.
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Affiliation(s)
- Anne Giersch
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France.
| | - Vincent Laprévote
- University of Strasbourg, INSERM U1114, Centre Hospitalier Régional Universitaire de Strasbourg, Strasbourg, France
- CLIP Centre de Liaison et d'Intervention Précoce, Centre Psychothérapique de Nancy, Laxou, France
- Faculté de Médecine, Université de Lorraine, Vandoeuvre-lès-Nancy, France
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Malcolm A, Pikoos T, Castle DJ, Rossell SL. Cross-diagnostic cognitive heterogeneity in body dysmorphic disorder and obsessive-compulsive disorder. J Behav Ther Exp Psychiatry 2021; 73:101674. [PMID: 34242980 DOI: 10.1016/j.jbtep.2021.101674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 05/03/2021] [Accepted: 06/30/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND OBJECTIVES Previous research has indicated that body dysmorphic disorder (BDD) and obsessive-compulsive disorder (OCD) often demonstrate similar cognitive impairments across multiple domains. However, findings for both disorders have not consistently shown impaired cognition. As such, BDD and OCD might share an overlapping pattern of cognitive heterogeneity, characterised by subgroups with different cognitive profiles. METHODS To evaluate this possibility, we compared 26 BDD, 24 OCD, and 26 healthy control participants on a comprehensive eight-domain cognitive battery. Then, cluster analysis was performed on the BDD and OCD participants' combined data to explore for cognitive subgroups. RESULTS No significant differences were found between the three groups' cognitive functioning, except for poorer visual learning in OCD relative to healthy controls. Cluster analysis produced two cognitive subgroups within the combined BDD and OCD data, characterised by intact cognition (52%) and broadly impaired cognition (48%). Each subgroup comprised both BDD and OCD participants, in similar proportions. The subgroups did not differ in clinical or demographic features. LIMITATIONS Sample sizes were moderate. Future research should investigate clustering patterns both in larger groups and separately in BDD and OCD samples to determine replicability. CONCLUSIONS These findings suggest that BDD and OCD may involve similar patterns of cognitive heterogeneity, and further imply that individuals with either disorder can show a wide range of cognitive profiles, thus necessitating a nuanced approach to future cognitive research in BDD and OCD.
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Affiliation(s)
- Amy Malcolm
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia.
| | - Toni Pikoos
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - David J Castle
- Department of Mental Health, St Vincent's Hospital, Melbourne, VIC, Australia; The University of Melbourne, Melbourne, VIC, Australia; Centre for Addiction and Mental Health and the Department of Psychiatry, University of Toronto, Canada
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts & Design, Swinburne University of Technology, Hawthorn, VIC, Australia; Department of Mental Health, St Vincent's Hospital, Melbourne, VIC, Australia
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5
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Bressan P, Kramer P. Most Findings Obtained With Untimed Visual Illusions Are Confounded. Psychol Sci 2021; 32:1238-1246. [PMID: 34241541 DOI: 10.1177/0956797621994268] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Visual illusions have been studied extensively, but their time course has not. Here we show, in a sample of more than 550 people, that unrestricted presentation times-as opposed to presentations lasting only a single second-weaken the Ebbinghaus illusion, strengthen lightness contrast with double increments, and do not alter lightness contrast with double decrements. When presentation time is unrestricted, these illusions are affected in the same way (decrease, increase, no change) by how long observers look at them. Our results imply that differences in illusion magnitude between individuals or groups are confounded with differences in inspection time, no matter whether stimuli are evaluated in matching, adjustment, or untimed comparison tasks. We offer an explanation for why these three illusions progress differently, and we spell out how our findings challenge theories of lightness, theories of global-local processing, and the interpretation of all research that has investigated visual illusions, or used them as tools, without considering inspection time.
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Affiliation(s)
- Paola Bressan
- Department of General Psychology, University of Padova
| | - Peter Kramer
- Department of General Psychology, University of Padova
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Mittal VA, Ellman LM, Strauss GP, Walker EF, Corlett PR, Schiffman J, Woods SW, Powers AR, Silverstein SM, Waltz JA, Zinbarg R, Chen S, Williams T, Kenney J, Gold JM. Computerized Assessment of Psychosis Risk. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2021; 6:e210011. [PMID: 34307899 PMCID: PMC8302046 DOI: 10.20900/jpbs.20210011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Early detection and intervention with young people at clinical high risk (CHR) for psychosis is critical for prevention efforts focused on altering the trajectory of psychosis. Early CHR research largely focused on validating clinical interviews for detecting at-risk individuals; however, this approach has limitations related to: (1) specificity (i.e., only 20% of CHR individuals convert to psychosis) and (2) the expertise and training needed to administer these interviews is limited. The purpose of our study is to develop the computerized assessment of psychosis risk (CAPR) battery, consisting of behavioral tasks that require minimal training to administer, can be administered online, and are tied to the neurobiological systems and computational mechanisms implicated in psychosis. The aims of our study are as follows: (1A) to develop a psychosis-risk calculator through the application of machine learning (ML) methods to the measures from the CAPR battery, (1B) evaluate group differences on the risk calculator score and test the hypothesis that the risk calculator score of the CHR group will differ from help-seeking and healthy controls, (1C) evaluate how baseline CAPR battery performance relates to symptomatic outcome two years later (i.e., conversion and symptomatic worsening). These aims will be explored in 500 CHR participants, 500 help-seeking individuals, and 500 healthy controls across the study sites. This project will provide a next-generation CHR battery, tied to illness mechanisms and powered by cutting-edge computational methods that can be used to facilitate the earliest possible detection of psychosis risk.
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Affiliation(s)
- Vijay A. Mittal
- Institutes for Policy Research (IPR) and Innovations in Developmental Sciences (DevSci), Departments of Psychology, Psychiatry, Medical Social Sciences, Northwestern University, Evanston, IL 60208, USA
| | - Lauren M. Ellman
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Gregory P. Strauss
- Departments of Psychology and Neuroscience, University of Georgia, Athens, GA 30602, USA
| | - Elaine F. Walker
- Department of Psychology and Program in Neuroscience, Emory University, Atlanta, GA 30322, USA
| | | | - Jason Schiffman
- Department of Psychological Science, 4201 Social and Behavioral Sciences Gateway, University of California, Irvine, CA 92697, USA
| | - Scott W. Woods
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Albert R. Powers
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - Steven M. Silverstein
- Center for Visual Science, Departments of Psychiatry, Neuroscience and Ophthalmology, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - James A. Waltz
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Richard Zinbarg
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
- The Family Institute at Northwestern University, Evanston, IL 60208, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
| | - Trevor Williams
- Department of Psychology, Northwestern University, Evanston, IL 60208, USA
| | - Joshua Kenney
- Department of Psychiatry, Yale University, New Haven, CT 06519, USA
| | - James M. Gold
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21228, USA
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Malcolm A, Labuschagne I, Castle D, Terrett G, Rendell PG, Rossell SL. The relationship between body dysmorphic disorder and obsessive-compulsive disorder: A systematic review of direct comparative studies. Aust N Z J Psychiatry 2018; 52:1030-1049. [PMID: 30238784 DOI: 10.1177/0004867418799925] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Current nosology conceptualises body dysmorphic disorder as being related to obsessive-compulsive disorder, but the direct evidence to support this conceptualisation is mixed. In this systematic review, we aimed to provide an integrated overview of research that has directly compared body dysmorphic disorder and obsessive-compulsive disorder. METHOD The PubMed database was searched for empirical studies which had directly compared body dysmorphic disorder and obsessive-compulsive disorder groups across any subject matter. Of 379 records, 31 met inclusion criteria and were reviewed. RESULTS Evidence of similarities between body dysmorphic disorder and obsessive-compulsive disorder was identified for broad illness features, including age of onset, illness course, symptom severity and level of functional impairment, as well as high perfectionism and high fear of negative evaluation. However, insight was clearly worse in body dysmorphic disorder than obsessive-compulsive disorder, and preliminary data also suggested unique visual processing features, impaired facial affect recognition, increased social anxiety severity and overall greater social-affective dysregulation in body dysmorphic disorder relative to obsessive-compulsive disorder. CONCLUSION Limitations included a restricted number of studies overall, an absence of studies comparing biological parameters (e.g. neuroimaging), and the frequent inclusion of participants with comorbid body dysmorphic disorder and obsessive-compulsive disorder. Risks of interpreting common features as indications of shared underlying mechanisms are explored, and evidence of differences between the disorders are placed in the context of broader research findings. Overall, this review suggests that the current nosological status of body dysmorphic disorder is somewhat tenuous and requires further investigation, with particular focus on dimensional, biological and aetiological elements.
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Affiliation(s)
- Amy Malcolm
- 1 Cognition and Emotion Research Centre, School of Psychology, Australian Catholic University, Melbourne, VIC, Australia
| | - Izelle Labuschagne
- 1 Cognition and Emotion Research Centre, School of Psychology, Australian Catholic University, Melbourne, VIC, Australia
| | - David Castle
- 2 Department of Psychiatry, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia.,3 Department of Psychiatry, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Gill Terrett
- 1 Cognition and Emotion Research Centre, School of Psychology, Australian Catholic University, Melbourne, VIC, Australia
| | - Peter G Rendell
- 1 Cognition and Emotion Research Centre, School of Psychology, Australian Catholic University, Melbourne, VIC, Australia
| | - Susan L Rossell
- 2 Department of Psychiatry, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia.,4 Centre for Mental Health, Swinburne University of Technology, Melbourne, VIC, Australia
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8
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Panton KR, Badcock JC, Dickinson JE, Badcock DR. Poorer Integration of Local Orientation Information Occurs in Students With High Schizotypal Personality Traits. Front Psychiatry 2018; 9:518. [PMID: 30405458 PMCID: PMC6207847 DOI: 10.3389/fpsyt.2018.00518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Accepted: 10/01/2018] [Indexed: 11/21/2022] Open
Abstract
Contour integration is impaired in schizophrenia patients, even at the first episode, but little is known about visual integration abilities prior to illness onset. To examine this issue, we compared undergraduate students high and low in schizotypal personality traits, reflecting putative liability to psychosis, on two psychophysical tasks assessing local and global stages of the integration process. The Radial Frequency Jittered Orientation Tolerance (RFJOT) task measures tolerance to orientation noise at the local signal level, when judging global stimulus orientation, whilst the Radial Frequency Integration Task (RFIT) measures the ability to globally integrate the local signals that have been extracted during shape discrimination. Positive schizotypy was assessed with the Perceptual Aberration (PAb) scale from the Wisconsin Schizotypy Scales-Brief. On the RFJOT task, the High PAb group (n = 55) tolerated statistically significantly less noise (d = -0.494) and had a lower proportion of correct responses (d = -0.461) than the Low PAb group (n = 77). For the RFIT there was no statistically significant difference in integration abilities between the High and Low PAb groups. High and Low PAb groups also differed on other positive and disorganized (but not negative) schizotypy traits, hence poorer performance on the RFJOT may not be solely related to unusual perceptual experiences. These findings suggest that difficulties with local noise tolerance but not global integration occur in healthy young adults with high levels of schizotypal personality traits, and may be worth investigating as a marker of risk for schizophrenia.
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Affiliation(s)
- Kirsten R. Panton
- Human Vision Laboratory, School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - Johanna C. Badcock
- Division of Psychiatry, Faculty of Health and Medical Sciences, Centre for Clinical Research in Neuropsychiatry, University of Western Australia, Perth, WA, Australia
| | - J. Edwin Dickinson
- Human Vision Laboratory, School of Psychological Science, University of Western Australia, Perth, WA, Australia
| | - David R. Badcock
- Human Vision Laboratory, School of Psychological Science, University of Western Australia, Perth, WA, Australia
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Grove TB, Yao B, Mueller SA, McLaughlin M, Ellingrod VL, McInnis MG, Taylor SF, Deldin PJ, Tso IF. A Bayesian model comparison approach to test the specificity of visual integration impairment in schizophrenia or psychosis. Psychiatry Res 2018; 265:271-278. [PMID: 29768190 PMCID: PMC6448399 DOI: 10.1016/j.psychres.2018.04.061] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 02/23/2018] [Accepted: 04/22/2018] [Indexed: 10/17/2022]
Abstract
Impaired visual integration is well documented in schizophrenia and related to functional outcomes. However, it is unclear if this deficit is specific to schizophrenia, or characteristic of psychosis more broadly. To address this question, this study used a Bayesian model comparison approach to examine the evidence of three grouping models of visual integration performance in 116 individuals with schizophrenia (SZ), schizoaffective disorder (SA), bipolar disorder (BD) with or without a history of prominent psychosis (BDP+ and BDP-, respectively), or no psychiatric diagnosis (healthy controls; HC). We compared: (1) Psychosis Model (psychosis, non-psychosis), where the psychosis group included SZ, SA, and BDP+, and the non-psychosis group included BDP- and HC; (2) Schizophrenia Model (SZ, non-SZ); and (3) DSM Model (SZ, SA, BD, HC). The relationship between visual integration and general cognition was also explored. The Psychosis Model showed the strongest evidence, and visual integration was associated with general cognition in participants with psychosis. The results were consistent with the Research Domain Criteria (RDoC) framework, indicating that visual integration impairment is characteristic of psychosis and not specific to SZ or DSM categories, and may share similar disease pathways with observed neurocognitive deficits in psychotic disorders.
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Affiliation(s)
- Tyler B. Grove
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA,Correspondence concerning this article should be addressed to Tyler Grove, Department of Psychology, University of Michigan, 530 Church Street, Ann Arbor, Michigan 48109, USA. . Tel: 1-(734)-647-3872
| | - Beier Yao
- Department of Psychology, Michigan State University, East Lansing, Michigan, USA
| | - Savanna A. Mueller
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Vicki L. Ellingrod
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA,College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA
| | - Melvin G. McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Stephan F. Taylor
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA,Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Patricia J. Deldin
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA,Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
| | - Ivy F. Tso
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA,Department of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA
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10
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Beilharz F, Castle DJ, Grace S, Rossell SL. A systematic review of visual processing and associated treatments in body dysmorphic disorder. Acta Psychiatr Scand 2017; 136:16-36. [PMID: 28190269 DOI: 10.1111/acps.12705] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/12/2017] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Recent advances in body dysmorphic disorder (BDD) have explored abnormal visual processing, yet it is unclear how this relates to treatment. The aim of this study was to summarize our current understanding of visual processing in BDD and review associated treatments. METHOD The literature was collected through PsycInfo and PubMed. Visual processing articles were included if written in English after 1970, had a specific BDD group compared to healthy controls and were not case studies. Due to the lack of research regarding treatments associated with visual processing, case studies were included. RESULTS A number of visual processing abnormalities are present in BDD, including face recognition, emotion identification, aesthetics, object recognition and gestalt processing. Differences to healthy controls include a dominance of detailed local processing over global processing and associated changes in brain activation in visual regions. Perceptual mirror retraining and some forms of self-exposure have demonstrated improved treatment outcomes, but have not been examined in isolation from broader treatments. CONCLUSION Despite these abnormalities in perception, particularly concerning face and emotion recognition, few BDD treatments attempt to specifically remediate this. The development of a novel visual training programme which addresses these widespread abnormalities may provide an effective treatment modality.
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Affiliation(s)
- F Beilharz
- Brain and Psychological Sciences Research Centre, Swinburne University of Technology, Melbourne, Vic., Australia
| | - D J Castle
- Department of Psychiatry, St Vincent's Hospital, Melbourne, Vic., Australia.,Psychiatry, Faculty of Medicine, University of Melbourne, Melbourne, Vic., Australia
| | - S Grace
- Brain and Psychological Sciences Research Centre, Swinburne University of Technology, Melbourne, Vic., Australia
| | - S L Rossell
- Brain and Psychological Sciences Research Centre, Swinburne University of Technology, Melbourne, Vic., Australia.,Department of Psychiatry, St Vincent's Hospital, Melbourne, Vic., Australia.,Monash Alfred Psychiatry Research Centre (MAPrc), The Alfred Hospital and Monash University Central Clinical School, Melbourne, Vic., Australia
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Carcone D, Ruocco AC. Six Years of Research on the National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative: A Systematic Review. Front Cell Neurosci 2017; 11:46. [PMID: 28316565 PMCID: PMC5334510 DOI: 10.3389/fncel.2017.00046] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 02/13/2017] [Indexed: 01/01/2023] Open
Abstract
Six years have passed since the National Institute of Mental Health (NIMH) in the United States launched the Research Domain Criteria (RDoC) initiative. The RDoC introduces a framework for research on the biology of mental illness that integrates research findings across multiple levels of information. The framework outlines constructs that represent specific quantifiable dimensions of behavior (e.g., responses to acute threat, cognitive control) and corresponding units of analysis that can be used to study the constructs, beginning at the levels of genes, molecules, cells, circuits and physiology, and moving up to behaviors and self-reports. In this systematic review, a literature search was conducted to synthesize empirical research published since the proposal of the framework that incorporated the RDoC. Forty-eight peer-reviewed scholarly articles met eligibility criteria for the review. Studies differed according to whether they analyzed RDoC constructs and units of analysis within vs. between clinically-diagnosed and non-psychiatric samples. The most commonly studied constructs were subsumed within the domains of Negative Valence Systems, Positive Valence Systems and Cognitive Systems, providing initial results which primarily connected genetics, brain circuits and physiology research findings with behavior and self-reports. Prospects for future research adopting the RDoC matrix and utilizing a dimensional approach to studying the biology of mental illness are discussed.
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Affiliation(s)
- Dean Carcone
- Departments of Psychology and Psychological Clinical Science, University of Toronto Toronto, ON, Canada
| | - Anthony C Ruocco
- Departments of Psychology and Psychological Clinical Science, University of Toronto Toronto, ON, Canada
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12
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Lærum AMW, Reitan SK, Evensen KAI, Lydersen S, Brubakk AM, Skranes J, Indredavik MS. Psychiatric Disorders and General Functioning in Low Birth Weight Adults: A Longitudinal Study. Pediatrics 2017; 139:peds.2016-2135. [PMID: 28123043 DOI: 10.1542/peds.2016-2135] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/17/2016] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVE To examine psychiatric morbidity and overall functioning in adults born with low birth weight compared with normal birth weight controls at age 26 years and to study longitudinal trajectories of psychiatric morbidity from early adolescence to adulthood. METHODS Prospective cohort study wherein 44 preterm very low birth weight (≤1500 g), 64 term small for gestational age (SGA; <10th percentile), and 81 control adults were examined using the MINI-International Neuropsychiatric Interview: M.I.N.I. Plus, Norwegian version, the Global Assessment of Functioning, and questions on daily occupation and level of education. Prevalence of psychiatric disorders from previous follow-ups at age 14 and 19 years were included for longitudinal analysis. RESULTS From adolescence to adulthood, the term SGA group had a marked increase in the estimated probability of psychiatric disorders from 9% (95% confidence interval, 4-19) to 39% (95% confidence interval, 28-51). At 26 years, psychiatric diagnoses were significantly more prevalent in the preterm very low birth weight group (n = 16, 36%; P = .003) and the term SGA group (n = 24, 38%; P = .019) compared with the control group (n = 11, 14%). Both low birth weight groups had lower educational level and functioning scores than controls and a higher frequency of unemployment and disability benefit. CONCLUSIONS Low birth weight was a substantial risk factor for adult psychiatric morbidity and lowered overall functioning. The results underscore the need for long-term follow-up of low birth weight survivors through adolescence and adulthood, focusing on mental health. The longitudinal increase in psychiatric morbidity in the term SGA group calls for additional investigation.
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Affiliation(s)
- Astrid M W Lærum
- Departments of Laboratory Medicine, Children's and Women's Health,
| | | | - Kari Anne I Evensen
- Departments of Laboratory Medicine, Children's and Women's Health.,Public Health and General Practice, and.,Department of Physiotherapy, Trondheim Municipality, Trondheim, Norway
| | - Stian Lydersen
- Regional Centre for Child and Youth Mental Health and Child Welfare, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ann-Mari Brubakk
- Departments of Laboratory Medicine, Children's and Women's Health
| | - Jon Skranes
- Departments of Laboratory Medicine, Children's and Women's Health
| | - Marit S Indredavik
- Regional Centre for Child and Youth Mental Health and Child Welfare, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Child and Adolescent Psychiatry, St. Olavs Hospital Trondheim University Hospital, Trondheim, Norway; and
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