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Dingemans AE, Volkmer SA, Mulkens S, Vuijk R, van Rood YR. The obsessive-compulsive spectrum: A network analysis. Psychiatry Res 2022; 308:114351. [PMID: 34979379 DOI: 10.1016/j.psychres.2021.114351] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 12/17/2021] [Accepted: 12/18/2021] [Indexed: 11/24/2022]
Abstract
Several studies have shown that obsessive-compulsive disorder (OCD), eating disorders (ED), autism spectrum disorders (ASD) and body dysmorphic disorder (BDD) share obsessive-compulsive (OC) symptoms and often co-occur, which could be seen as indicative of a common etiological basis. In addition, they also appear to have similarities in executive functioning. The present study investigated disorder-specific symptoms and executive functioning as a possible joint factor in individuals with OCD (n=53), BDD (n=95), ED (n=171) and ASD (n=73), and in healthy controls (n=110). The participants completed online questionnaires measuring OCD, ED, ASD and BDD related symptoms as well as executive functioning. The clinical groups were first compared to the healthy controls. Subsequently, a network analysis was performed only with the OC-groups. This network approach assumes that psychopathological disorders are the result of causal symptom interactions. As expected, the healthy controls reported less severe symptoms compared to the OC patient groups. The network analysis suggested that the executive functioning skill set shifting/attention switching and the ASD symptoms, social and communication skills were the most central nodes in the model. Difficulty with cognitive flexibility and social factors are central in OC-spectrum disorders and may be perpetuating factors and thus a relevant focus of treatment.
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Affiliation(s)
| | | | - Sandra Mulkens
- Department of Psychiatry and Neuropsychology, and Department of Clinical Psychological Science, Maastricht University, Maastricht, The Netherlands
| | | | - Yanda R van Rood
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
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Kou J, Le J, Fu M, Lan C, Chen Z, Li Q, Zhao W, Xu L, Becker B, Kendrick KM. Comparison of three different eye-tracking tasks for distinguishing autistic from typically developing children and autistic symptom severity. Autism Res 2019; 12:1529-1540. [PMID: 31369217 DOI: 10.1002/aur.2174] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 06/03/2019] [Accepted: 06/24/2019] [Indexed: 01/21/2023]
Abstract
Altered patterns of visual social attention preference detected using eye-tracking and a variety of different paradigms are increasingly proposed as sensitive biomarkers for autism spectrum disorder. However, few eye-tracking studies have compared the relative efficacy of different paradigms to discriminate between autistic compared with typically developing children and their sensitivity to specific symptoms. To target this issue, the current study used three common eye-tracking protocols contrasting social versus nonsocial stimuli in young (2-7 years old) Chinese autistic (n = 35) and typically developing (n = 34) children matched for age and gender. Protocols included dancing people versus dynamic geometrical images, biological motion (dynamic light point walking human or cat) versus nonbiological motion (scrambled controls), and child playing with toy versus toy alone. Although all three paradigms differentiated autistic and typically developing children, the dancing people versus dynamic geometry pattern paradigm was the most effective, with autistic children showing marked reductions in visual preference for dancing people and correspondingly increased one for geometric patterns. Furthermore, this altered visual preference in autistic children was correlated with the Autism Diagnostic Observation Schedule social affect score and had the highest discrimination accuracy. Our results therefore indicate that decreased visual preference for dynamic social stimuli may be the most effective visual attention-based paradigm for use as a biomarker for autism in Chinese children. Clinical trial ID: NCT03286621 (clinicaltrials.gov); Clinical trial name: Development of Eye-tracking Based Markers for Autism in Young Children. Autism Res 2019, 12: 1529-1540. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Eye-tracking measures may be useful in aiding diagnosis and treatment of autism, although it is unclear which specific tasks are optimal. Here we compare the ability of three different social eye-gaze tasks to discriminate between autistic and typically developing young Chinese children and their sensitivity to specific autistic symptoms. Our results show that a dynamic task comparing visual preference for social (individuals dancing) versus geometric patterns is the most effective both for diagnosing autism and sensitivity to its social affect symptoms.
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Affiliation(s)
- Juan Kou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Jiao Le
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Meina Fu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Chunmei Lan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhuo Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Weihua Zhao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Lei Xu
- Chengdu Southwest Children's Hospital, Institute of Child Rehabilitation Medicine, Chengdu, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
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Perrykkad K, Hohwy J. Modelling Me, Modelling You: the Autistic Self. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2019. [DOI: 10.1007/s40489-019-00173-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Dong N, Nezgovorova V, Hong K, Hollander E. Pharmacotherapy in body dysmorphic disorder: relapse prevention and novel treatments. Expert Opin Pharmacother 2019; 20:1211-1219. [DOI: 10.1080/14656566.2019.1610385] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Affiliation(s)
- Nancy Dong
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Vera Nezgovorova
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Kevin Hong
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
| | - Eric Hollander
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA
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Hong K, Nezgovorova V, Uzunova G, Schlussel D, Hollander E. Pharmacological Treatment of Body Dysmorphic Disorder. Curr Neuropharmacol 2018; 17:697-702. [PMID: 29701157 PMCID: PMC7059151 DOI: 10.2174/1570159x16666180426153940] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/15/2018] [Accepted: 04/24/2018] [Indexed: 11/29/2022] Open
Abstract
Body dysmorphic disorder is a challenging disorder that manifests as erroneously perceived flaws in one’s physical appearance and repetitive behaviors in response to appearance concerns. This disorder is also frequently comorbid with other psychiatric disorders, including major depressive disorder and autism spectrum disorder. It is currently understood to arise from a combination of biological, psychological, and environmental factors. Treatment of body dysmorphic disorder typically consists of a combination of pharmacotherapy and cognitive behavioral therapy. However, not all patients respond to treatment, and BDD symptoms remain even in those who do respond. This review outlines current pharmacological and neuromodulation treatments for body dysmorphic disorder and suggests directions for future studies of novel treatments such as augmentation with atypical antipsychotics and the use of intranasal oxytocin in cases of body dysmorphic disorder that show residual symptomatology even with tailored monotherapy. There is emerging evidence suggesting that non-invasive neurostimulatory techniques, such as repetitive transcranial magnetic stimulation, may be of value in treatment-resistant cases.
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Affiliation(s)
- Kevin Hong
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, NY, United States
| | - Vera Nezgovorova
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, NY, United States
| | - Genoveva Uzunova
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, NY, United States
| | - Danya Schlussel
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, NY, United States
| | - Eric Hollander
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montefiore Medical Center, NY, United States
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Abstract
Body dysmorphic disorder (BDD) is a disabling illness with a high worldwide prevalence. Patients demonstrate a debilitating preoccupation with one or more perceived defects, often marked by poor insight or delusional convictions. Multiple studies have suggested that selective serotonin reuptake inhibitors and various cognitive behavioral therapy modalities are effective first-line treatments in decreasing BDD severity, relieving depressive symptoms, restoring insight, and increasing quality of life. Selective serotonin reuptake inhibitors have also recently been shown to be effective for relapse prevention. This review provides a comprehensive summary of the current understanding of BDD, including its clinical features, epidemiology, genetics, and current treatment modalities. Additional research is needed to fully elucidate the relationship between BDD and comorbid illnesses such as obsessive–compulsive-related disorders and depression and to develop therapies for refractory patients and those who have contraindications for pharmacological intervention.
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Affiliation(s)
- Kevin Hong
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montiefiore Medical Center, The Bronx, New York, USA
| | - Vera Nezgovorova
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montiefiore Medical Center, The Bronx, New York, USA
| | - Eric Hollander
- Department of Psychiatry and Behavioral Sciences, Autism and Obsessive-Compulsive Spectrum Program, Anxiety and Depression Program, Albert Einstein College of Medicine, Montiefiore Medical Center, The Bronx, New York, USA
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