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Hearne LJ, Breakspear M, Harrison BJ, Hall CV, Savage HS, Robinson C, Sonkusare S, Savage E, Nott Z, Marcus L, Naze S, Burgher B, Zalesky A, Cocchi L. Revisiting deficits in threat and safety appraisal in obsessive-compulsive disorder. Hum Brain Mapp 2023; 44:6418-6428. [PMID: 37853935 PMCID: PMC10681637 DOI: 10.1002/hbm.26518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 08/22/2023] [Accepted: 10/02/2023] [Indexed: 10/20/2023] Open
Abstract
Current behavioural treatment of obsessive-compulsive disorder (OCD) is informed by fear conditioning and involves iteratively re-evaluating previously threatening stimuli as safe. However, there is limited research investigating the neurobiological response to conditioning and reversal of threatening stimuli in individuals with OCD. A clinical sample of individuals with OCD (N = 45) and matched healthy controls (N = 45) underwent functional magnetic resonance imaging. While in the scanner, participants completed a well-validated fear reversal task and a resting-state scan. We found no evidence for group differences in task-evoked brain activation or functional connectivity in OCD. Multivariate analyses encompassing all participants in the clinical and control groups suggested that subjective appraisal of threatening and safe stimuli were associated with a larger difference in brain activity than the contribution of OCD symptoms. In particular, we observed a brain-behaviour continuum whereby heightened affective appraisal was related to increased bilateral insula activation during the task (r = 0.39, pFWE = .001). These findings suggest that changes in conditioned threat-related processes may not be a core neurobiological feature of OCD and encourage further research on the role of subjective experience in fear conditioning.
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Affiliation(s)
- Luke J. Hearne
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Michael Breakspear
- College of Engineering Science and Environment, College of Health and MedicineUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Ben J. Harrison
- Melbourne Neuropsychiatry Centre, Department of PsychiatryThe University of Melbourne & Melbourne HealthMelbourneVictoriaAustralia
| | - Caitlin V. Hall
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Hannah S. Savage
- College of Engineering Science and Environment, College of Health and MedicineUniversity of NewcastleCallaghanNew South WalesAustralia
| | - Conor Robinson
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | | | - Emma Savage
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Zoie Nott
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Leo Marcus
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Sebastien Naze
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Bjorn Burgher
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of PsychiatryThe University of Melbourne & Melbourne HealthMelbourneVictoriaAustralia
| | - Luca Cocchi
- QIMR Berghofer Medical Research InstituteBrisbaneQLDAustralia
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Karlsson K, Olsson C, Erlandsson A, Ahlberg KM, Larsson M. Exploring Symptom Clusters and Their Measurements in Patients With Lung Cancer: A Scoping Review for Practice and Research. Oncol Nurs Forum 2023; 50:783-815. [PMID: 37874760 DOI: 10.1188/23.onf.783-815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
PROBLEM IDENTIFICATION This scoping review aimed to explore symptom clusters (SCs) in patients with lung cancer and how included symptoms and symptom dimensions are measured. LITERATURE SEARCH PubMed®, CINAHL®, Scopus®, and Cochrane Library were searched for studies published until December 31, 2021. Fifty-three articles were included. DATA EVALUATION Data extracted included descriptive items and SC constellations. Patient-reported outcome instruments and measured symptom dimensions were described according to the middle-range theory of unpleasant symptoms. SYNTHESIS 13 articles investigated SCs a priori and 40 de novo. Thirty-six instruments were used, mostly measuring intensity alone or in combination with timing. Qualitative articles (n = 6) provided rich descriptions within the distress, timing, and quality dimensions. IMPLICATIONS FOR RESEARCH Fatigue was the symptom found to most frequently co-occur with other symptoms in SCs. Fatigue, psychological symptoms, and nutritional aspects are emphasized as important areas for oncology nursing practice and further research to improve SC management for patients with lung cancer.
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Grassi G. How does "Pure-O" obsessive-compulsive disorder impact on a patient's treatment plan? Expert Rev Neurother 2023; 23:1051-1052. [PMID: 37856308 DOI: 10.1080/14737175.2023.2273388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 10/17/2023] [Indexed: 10/21/2023]
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Pratt DN, Bridgwater M, Schiffman J, Ellman LM, Mittal VA. Do the Components of Attenuated Positive Symptoms Truly Represent One Construct? Schizophr Bull 2023; 49:788-798. [PMID: 36454660 PMCID: PMC10154719 DOI: 10.1093/schbul/sbac182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
BACKGROUND AND HYPOTHESES Psychosis-risk inventories, like the Structured Interview for Psychosis-Risk Syndromes (SIPS), utilize symptom components and coalesce the information into a single-severity rating. These components include frequency, duration, in-the-moment conviction, retrospective insight, distress, and effect on social/role functioning. While combining components distills a great deal of important information into one practical symptom rating, this approach may mask important details of the greater clinical picture. STUDY DESIGN Individuals at clinical high risk for psychosis (n = 115) were assessed with the SIPS Score Separable Components (SSSC) scale, created to accompany the SIPS positive items by dividing each item into the 7 components identified above. The latent structure of the SSSC was identified with an exploratory factor analysis (EFA). The factors were followed up with validation analyses including hypothesized cognitive, functioning, and symptom measures. Finally, clinical utility analyses were conducted to understand relationships between psychosis risk and common comorbidities. STUDY RESULTS EFA revealed that the SSSC had 3 interpretable factors with the appropriate fit (rmsr = 0.018, TLI = 0.921): Conviction (in-the-moment conviction, retrospective insight), Distress-Impairment (distress, social/role functioning), and Frequency/Duration (frequency, duration). Conviction was minimally valid, Distress-Impairment had excellent validity, and Frequency/Duration was not related to any of the candidate validators. Conviction significantly predicted elevated psychosis risk. Distress-Impairment was related to common comorbid symptoms. Notably, the factors associated more strongly with clinical features than the traditional SIPS scores. CONCLUSIONS The SSSC offers a supplemental approach to single-severity ratings, providing useful clinical insight, mechanistic understanding, and the potential for better capturing heterogeneity in this population.
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Affiliation(s)
- Danielle N Pratt
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Miranda Bridgwater
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jason Schiffman
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Lauren M Ellman
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychiatry, Northwestern University, Chicago, IL, USA
- Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Policy Research (IPR), Northwestern University, Chicago, IL, USA
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Abstract
BACKGROUND Our understanding of major depression is complicated by substantial heterogeneity in disease presentation, which can be disentangled by data-driven analyses of depressive symptom dimensions. We aimed to determine the clinical portrait of such symptom dimensions among individuals in the community. METHODS This cross-sectional study consisted of 25 261 self-reported White UK Biobank participants with major depression. Nine questions from the UK Biobank Mental Health Questionnaire encompassing depressive symptoms were decomposed into underlying factors or 'symptom dimensions' via factor analysis, which were then tested for association with psychiatric diagnoses and polygenic risk scores for major depressive disorder (MDD), bipolar disorder and schizophrenia. Replication was performed among 655 self-reported non-White participants, across sexes, and among 7190 individuals with an ICD-10 code for MDD from linked inpatient or primary care records. RESULTS Four broad symptom dimensions were identified, encompassing negative cognition, functional impairment, insomnia and atypical symptoms. These dimensions replicated across ancestries, sexes and individuals with inpatient or primary care MDD diagnoses, and were also consistent among 43 090 self-reported White participants with undiagnosed self-reported depression. Every dimension was associated with increased risk of nearly every psychiatric diagnosis and polygenic risk score. However, while certain psychiatric diagnoses were disproportionately associated with specific symptom dimensions, the three polygenic risk scores did not show the same specificity of associations. CONCLUSIONS An analysis of questionnaire data from a large community-based cohort reveals four replicable symptom dimensions of depression with distinct clinical, but not genetic, correlates.
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Affiliation(s)
- Michael Wainberg
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Peter Zhukovsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Sean L Hill
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Aristotle Voineskos
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Sidney Kennedy
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
- Krembil Research Institute, University Health Network, Toronto, Canada
- Li Ka Shing Knowledge Institute, Saint Michael's Hospital, Toronto, Canada
| | - Colin Hawco
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
| | - Shreejoy J Tripathy
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
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Cervin M, Miguel EC, Güler AS, Ferrão YA, Erdoğdu AB, Lazaro L, Gökçe S, Geller DA, Yulaf Y, Başgül ŞS, Özcan Ö, Karabekiroğlu K, Fontenelle LF, Yazgan Y, Storch EA, Leckman JF, do Rosário MC, Mataix-Cols D. Towards a definitive symptom structure of obsessive-compulsive disorder: a factor and network analysis of 87 distinct symptoms in 1366 individuals. Psychol Med 2022; 52:3267-3279. [PMID: 33557980 PMCID: PMC9693708 DOI: 10.1017/s0033291720005437] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/18/2020] [Accepted: 12/22/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND The symptoms of obsessive-compulsive disorder (OCD) are highly heterogeneous and it is unclear what is the optimal way to conceptualize this heterogeneity. This study aimed to establish a comprehensive symptom structure model of OCD across the lifespan using factor and network analytic techniques. METHODS A large multinational cohort of well-characterized children, adolescents, and adults diagnosed with OCD (N = 1366) participated in the study. All completed the Dimensional Yale-Brown Obsessive-Compulsive Scale, which contains an expanded checklist of 87 distinct OCD symptoms. Exploratory and confirmatory factor analysis were used to outline empirically supported symptom dimensions, and interconnections among the resulting dimensions were established using network analysis. Associations between dimensions and sociodemographic and clinical variables were explored using structural equation modeling (SEM). RESULTS Thirteen first-order symptom dimensions emerged that could be parsimoniously reduced to eight broad dimensions, which were valid across the lifespan: Disturbing Thoughts, Incompleteness, Contamination, Hoarding, Transformation, Body Focus, Superstition, and Loss/Separation. A general OCD factor could be included in the final factor model without a significant decline in model fit according to most fit indices. Network analysis showed that Incompleteness and Disturbing Thoughts were most central (i.e. had most unique interconnections with other dimensions). SEM showed that the eight broad dimensions were differentially related to sociodemographic and clinical variables. CONCLUSIONS Future research will need to establish if this expanded hierarchical and multidimensional model can help improve our understanding of the etiology, neurobiology and treatment of OCD.
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Affiliation(s)
- Matti Cervin
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Euripedes C. Miguel
- Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, Brazil
| | | | - Ygor A. Ferrão
- Department of Clinical Medicine (Neurosciences), Porto Alegre Health Sciences Federal University, Porto Alegre, Brazil
| | - Ayşe Burcu Erdoğdu
- Department of Child and Adolescent Psychiatry, Marmara University, Istanbul, Turkey
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clínic, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Sebla Gökçe
- Department of Child and Adolescent Psychiatry, Maltepe University, Istanbul, Turkey
| | - Daniel A. Geller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Yasemin Yulaf
- Department of Psychology, Gelişim University, Istanbul, Turkey
| | | | - Özlem Özcan
- Department of Child and Adolescent Psychiatry, İnönü University, Malatya, Turkey
| | - Koray Karabekiroğlu
- Department of Child and Adolescent Psychiatry, Ondokuz Mayıs University, Samsun, Turkey
| | - Leonardo F. Fontenelle
- Turner Institute for Brain and Mental Health, Monash University, Victoria, Australia
- D'Or Institute for Research and Education (IDOR) and Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Yankı Yazgan
- Güzel Günler Clinic, Istanbul, Turkey
- Yale Child Study Center, New Haven, CT, USA
| | - Eric A. Storch
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - James F. Leckman
- Departments of Psychiatry, Pediatrics & Psychology, Child Study Center, Yale University, New Haven, CT, USA
| | | | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
- Health Care Services, Region Stockholm, Stockholm, Sweden
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7
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Difrancesco S, Penninx BWJ, Riese H, Giltay EJ, Lamers F. The role of depressive symptoms and symptom dimensions in actigraphy-assessed sleep, circadian rhythm, and physical activity. Psychol Med 2022; 52:2760-2766. [PMID: 33431104 PMCID: PMC9647516 DOI: 10.1017/s0033291720004870] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 11/09/2020] [Accepted: 11/23/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Considering the heterogeneity of depression, distinct depressive symptom dimensions may be differentially associated with more objective actigraphy-based estimates of physical activity (PA), sleep and circadian rhythm (CR). We examined the association between PA, sleep, and CR assessed with actigraphy and symptom dimensions (i.e. mood/cognition, somatic/vegetative, sleep). METHODS Fourteen-day actigraphy data of 359 participants were obtained from the Netherlands Study of Depression and Anxiety. PA, sleep, and CR estimates included gross motor activity (GMA), sleep duration (SD), sleep efficiency (SE), relative amplitude between daytime and night-time activity (RA) and sleep midpoint. The 30-item Inventory of Depressive Symptomatology was used to assess depressive symptoms, which were categorised in three depression dimensions: mood/cognition, somatic/vegetative, and sleep. RESULTS GMA and RA were negatively associated with higher score on all three symptom dimensions: mood/cognition (GMA: β = -0.155, p < 0.001; RA: β = -0.116, p = 0.002), somatic/vegetative (GMA: β = -0.165, p < 0.001; RA: β = -0.133, p < 0.001), sleep (GMA: β = -0.169, p < 0.001; RA: β = -0.190, p < 0.001). The association with sleep was more pronounced for two depression dimensions: longer SD was linked to somatic/vegetative (β = 0.115, p = 0.015) dimension and lower SE was linked to sleep (β = -0.101, p = 0.011) dimension. CONCLUSION As three symptom dimensions were associated with actigraphy-based low PA and dampened CR, these seem to be general indicators of depression. Sleep disturbances appeared more linked to the somatic/vegetative and sleep dimensions; the effectiveness of sleep interventions in patients reporting somatic/vegetative symptoms may be explored, as well as the potential of actigraphy to monitor treatment response to such interventions.
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Affiliation(s)
- Sonia Difrancesco
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Brenda W. J.H. Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Harriëtte Riese
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Interdisciplinary Center for Psychopathology and Emotion regulation, Groningen, The Netherlands
| | - Erik J. Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
| | - Femke Lamers
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam Public Health research institute, Amsterdam, The Netherlands
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8
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Riddle J, Frohlich F. Mental Activity as the Bridge between Neural Biomarkers and Symptoms of Psychiatric Illness. Clin EEG Neurosci 2022:15500594221112417. [PMID: 35861807 DOI: 10.1177/15500594221112417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Research Domain Criteria (RDoC) initiative challenges researchers to build neurobehavioral models of psychiatric illness with the hope that such models identify better targets that will yield more effective treatment. However, a guide for building such models was not provided and symptom heterogeneity within Diagnostic Statistical Manual categories has hampered progress in identifying endophenotypes that underlie mental illness. We propose that the best chance to discover viable biomarkers and treatment targets for psychiatric illness is to investigate a triangle of relationships: severity of a specific psychiatric symptom that correlates to mental activity that correlates to a neural activity signature. We propose that this is the minimal model complexity required to advance the field of psychiatry. With an understanding of how neural activity relates to the experience of the patient, a genuine understanding for how treatment imparts its therapeutic effect is possible. After the discovery of this three-fold relationship, causal testing is required in which the neural activity pattern is directly enhanced or suppressed to provide causal, instead of just correlational, evidence for the biomarker. We suggest using non-invasive brain stimulation (NIBS) as these techniques provide tools to precisely manipulate spatial and temporal activity patterns. We detail how this approach enabled the discovery of two orthogonal electroencephalography (EEG) activity patterns associated with anhedonia and anxiosomatic symptoms in depression that can serve as future treatment targets. Altogether, we propose a systematic approach for building neurobehavioral models for dimensional psychiatry.
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Affiliation(s)
- Justin Riddle
- Department of Psychiatry, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Carolina Center for Neurostimulation, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Flavio Frohlich
- Department of Psychiatry, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Carolina Center for Neurostimulation, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Neurology, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Cell Biology and Physiology, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Biomedical Engineering, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Neuroscience Center, 6797University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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9
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Cifter A, Erdogdu AB. Are the symptom dimensions a predictor of short-term response to pharmacotherapy in pediatric obsessive-compulsive disorder? A retrospective cohort study. Indian J Psychiatry 2022; 64:395-400. [PMID: 36060710 PMCID: PMC9435618 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_896_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 12/09/2021] [Accepted: 05/03/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) symptom dimensions respond differently to behavioral and pharmacological interventions, and some dimensions are reported to be more resistant to treatment. AIM We aimed to investigate the responses of three symptom dimensions (harm/sexual, symmetry/hoarding, and contamination/cleaning) to serotonin reuptake inhibitor (SRI) therapy in pediatric OCD. METHODS Children who were between 6 and 17 years old, diagnosed with OCD according to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria, followed up at our clinic for at least 3 months, and received SRI treatment were included in our study. Response to treatment was assessed using the Clinical Global Impressions scale. Predictors of treatment response were analyzed using regression models. RESULTS Of the 102 children with a mean age of 11.84 ± 2.87 years, 57.8% were male and the mean follow-up period was 12.39 ± 9.55 months. The overall response rate to pharmacotherapy was 66.7%. Patients with symmetry/hoarding symptoms [relative risk (RR) = 0.66, 95% confidence interval (CI) (0.12-0.79), P = 0.015] did not respond as well to SRIs. Besides, adolescent age (RR = 0.65, 95% CI (0.10-0.73), P = 0.01) was associated with a less favorable SRI response. CONCLUSION This study shows that symptom dimensions are one of the factors predicting response to pharmacotherapy in pediatric OCD. It is hypothesized that considering the dimensions is important to plan more appropriate treatment and provide more accurate prognostic information when assessing children with OCD.
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Affiliation(s)
- Anil Cifter
- Department of Psychiatry and Psychotherapy, Agaplesion Diakonieklinikum Rotenburg, 27356 Rotenburg, Germany
| | - Ayse Burcu Erdogdu
- Department of Child and Adolescent Psychiatry, School of Medicine, Marmara University, 34899 Istanbul, Turkey
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10
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Riddle J, Alexander ML, Schiller CE, Rubinow DR, Frohlich F. Reward-Based Decision-Making Engages Distinct Modes of Cross-Frequency Coupling. Cereb Cortex 2022; 32:2079-2094. [PMID: 34622271 PMCID: PMC9113280 DOI: 10.1093/cercor/bhab336] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/18/2021] [Accepted: 08/22/2021] [Indexed: 11/13/2022] Open
Abstract
Prefrontal cortex exerts control over sensory and motor systems via cross-frequency coupling. However, it is unknown whether these signals play a role in reward-based decision-making and whether such dynamic network configuration is altered in a major depressive episode. We recruited men and women with and without depression to perform a streamlined version of the Expenditure of Effort for Reward Task during recording of electroencephalography. Goal-directed behavior was quantified as willingness to exert physical effort to obtain reward, and reward-evaluation was the degree to which the decision to exert effort was modulated by incentive level. We found that the amplitude of frontal-midline theta oscillations was greatest in participants with the greatest reward-evaluation. Furthermore, coupling between frontal theta phase and parieto-occipital gamma amplitude was positively correlated with reward-evaluation. In addition, goal-directed behavior was positively correlated with coupling between frontal delta phase to motor beta amplitude. Finally, we performed a factor analysis to derive 2 symptom dimensions and found that mood symptoms positively tracked with reward-evaluation and motivation symptoms negatively tracked with goal-directed behavior. Altogether, these results provide evidence that 2 aspects of reward-based decision-making are instantiated by different modes of prefrontal top-down control and are modulated in different symptom dimensions of depression.
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Affiliation(s)
- Justin Riddle
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Morgan L Alexander
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Crystal Edler Schiller
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - David R Rubinow
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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11
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Nadort E, Schouten RW, Luijkx X, Shaw PKC, van Ittersum FJ, Smets YF, Vleming LJ, Dekker FW, Broekman BF, Siegert CE. Symptom dimensions of anxiety and depression in patients receiving peritoneal dialysis compared to haemodialysis. ARCH ESP UROL 2022; 42:259-269. [PMID: 35383509 DOI: 10.1177/08968608221086734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Differences in symptom burden, treatment satisfaction and autonomy between patients receiving peritoneal dialysis and haemodialysis could be reflected by a difference in symptom dimensions of anxiety and depression. The aim of this study is to assess differences in prevalence and symptom dimensions of anxiety and depression between patients receiving peritoneal dialysis and haemodialysis. METHODS Baseline data from the Depression Related Factors and Outcomes in Dialysis Patients With Various Ethnicities and Races Study were used. Symptoms of anxiety and depression were measured with the Beck Anxiety Inventory and Beck Depression Inventory- second edition. Linear and logistic regression models were used to compare anxiety and depression total scores and somatic and subjective/cognitive symptom dimension scores between patients receiving peritoneal dialysis and haemodialysis, adjusted for potential confounders. RESULTS In total, 84 patients receiving peritoneal dialysis and 601 patients receiving haemodialysis were included. Clinically significant symptoms of anxiety and depression were present in respectively 22% and 43% of the patients, with no differences between dialysis modality. Both modalities scored high on the somatic symptom dimensions and on individual somatic items. Almost all patients reported symptoms related to loss of energy and sleep. CONCLUSION No differences in symptom dimensions of anxiety and depression were found between patients receiving peritoneal dialysis and haemodialysis. The high prevalence of somatic symptom dimensions in both groups underscores the possible interaction between somatic and psychiatric symptoms in dialysis patients and the need for early recognition and treatment of symptoms of anxiety and depression regardless of treatment modalities.
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Affiliation(s)
- Els Nadort
- Department of Psychiatry, OLVG, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam University Medical Centre, The Netherlands
| | | | - Xander Luijkx
- Department of Psychiatry, OLVG, Amsterdam, The Netherlands
| | | | | | - Yves Fc Smets
- Department of Psychiatry, OLVG, Amsterdam, The Netherlands
| | - Louis-Jean Vleming
- Department of Nephrology, Haga Teaching Hospital, The Hague, The Netherlands
| | - Friedo W Dekker
- Department of Clinical Epidemiology, Leiden University Medical Centre, The Netherlands
| | - Birit Fph Broekman
- Department of Psychiatry, OLVG, Amsterdam, The Netherlands.,Department of Psychiatry, Amsterdam University Medical Centre, The Netherlands
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12
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Cervin M, McNeel MM, Wilhelm S, McGuire JF, Murphy TK, Small BJ, Geller DA, Storch EA. Cognitive Beliefs Across the Symptom Dimensions of Pediatric Obsessive-Compulsive Disorder: Type of Symptom Matters. Behav Ther 2022; 53:240-254. [PMID: 35227401 PMCID: PMC9397538 DOI: 10.1016/j.beth.2021.08.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 08/06/2021] [Accepted: 08/12/2021] [Indexed: 02/03/2023]
Abstract
The cognitive model of obsessive-compulsive disorder (OCD) posits that dysfunctional cognitive beliefs are crucial to the onset and maintenance of OCD; however, the relationship between these cognitive beliefs and the heterogeneity of OCD symptoms in children and adolescents remains unknown. We examined how the major belief domains of the cognitive model (inflated responsibility/threat estimation, perfectionism/intolerance of uncertainty, importance/control of thoughts) and dysfunctional metacognitions were related to OCD symptoms across the following dimensions: doubting/checking, obsessing, hoarding, washing, ordering, and neutralization. Self-report ratings from 137 treatment-seeking youth with OCD were analyzed. When cognitive beliefs and symptom dimensions were analyzed in tandem, inflated responsibility/threat estimation and dysfunctional metacognitions were uniquely related to doubting/checking, obsessing, and hoarding and perfectionism/intolerance of uncertainty to ordering. Cognitive beliefs explained a large proportion of variation in doubting/checking (61%) and obsessing (46%), but much less so in ordering (15%), hoarding (14%), neutralization (8%), and washing (3%). Similar relations between cognitive beliefs and symptom dimensions were present in children and adolescents. Cognitive beliefs appear to be relevant for pediatric OCD related to harm, responsibility, and checking, but they do not map clearly onto contamination and symmetry-related symptoms. Implications for OCD etiology and treatment are discussed.
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Affiliation(s)
| | | | - Sabine Wilhelm
- Massachusetts General Hospital and Harvard Medical School
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13
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Sinha R, Mahour P, Sharma E, Mehta UM, Agarwal M. Obsessive belief and emotional appraisal correlates of symptom dimensions and impairment in obsessive-compulsive disorder. Indian J Psychiatry 2021; 63:348-354. [PMID: 34456347 PMCID: PMC8363904 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_1194_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 01/29/2021] [Accepted: 05/04/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a heterogeneous and debilitating illness. Symptom dimensions of OCD lend homogeneous avenues for research. Variations in one's appraisal of thoughts and emotions can influence symptom dimensions and impairment. However, little is known about the combined influence of these appraisals in OCD. A clear understanding of these relationships has putative treatment implications. AIM The aim of the study is to examine the associations among obsessive beliefs, emotional appraisals, and OCD symptom dimensions in adults. MATERIALS AND METHODS We examined 50 drug-naïve/drug-free adults with active OCD. Symptom dimensions and impairment were assessed using the Dimensional Yale-Brown Obsessive-Compulsive Severity Scale. Obsessive beliefs and emotional appraisals were studied using the Obsessive Beliefs Questionnaire-44 and Perception of Threat from Emotion Questionnaire. RESULTS Tobit regression analysis showed the differential association of obsessive beliefs and symptom dimensions - perfectionism/certainty associated with contamination and responsibility/threat estimation associated with aggressive obsessions. Impairment was associated with dimensional symptom severities and with the perception of threat from anger. This association remained even after controlling for depression severity and obsessive beliefs. CONCLUSIONS OCD symptom dimensions are heterogeneous in underlying obsessive beliefs. Emotional appraisals contribute significantly to impairment alongside symptom severity. Emotion-focused interventions must be included in the psychotherapeutic interventions for OCD.
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Affiliation(s)
- Reema Sinha
- Department of Psychiatry, Era's Lucknow Medical College and Hospital, Lucknow, Uttar Pradesh, India
| | - Pooja Mahour
- Department of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Eesha Sharma
- Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Urvakhsh M Mehta
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Manu Agarwal
- Department of Psychiatry, King George's Medical University, Lucknow, Uttar Pradesh, India
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14
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Quattrone D, Ferraro L, Tripoli G, La Cascia C, Quigley H, Quattrone A, Jongsma HE, Del Peschio S, Gatto G, Gayer-Anderson C, Jones PB, Kirkbride JB, La Barbera D, Tarricone I, Berardi D, Tosato S, Lasalvia A, Szöke A, Arango C, Bernardo M, Bobes J, Del Ben CM, Menezes PR, Llorca PM, Santos JL, Sanjuán J, Tortelli A, Velthorst E, de Haan L, Rutten BPF, Lynskey MT, Freeman TP, Sham PC, Cardno AG, Vassos E, van Os J, Morgan C, Reininghaus U, Lewis CM, Murray RM, Di Forti M. Daily use of high-potency cannabis is associated with more positive symptoms in first-episode psychosis patients: the EU-GEI case-control study. Psychol Med 2021; 51:1329-1337. [PMID: 32183927 PMCID: PMC8223239 DOI: 10.1017/s0033291720000082] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 11/27/2019] [Accepted: 01/08/2020] [Indexed: 12/31/2022]
Abstract
BACKGROUND Daily use of high-potency cannabis has been reported to carry a high risk for developing a psychotic disorder. However, the evidence is mixed on whether any pattern of cannabis use is associated with a particular symptomatology in first-episode psychosis (FEP) patients. METHOD We analysed data from 901 FEP patients and 1235 controls recruited across six countries, as part of the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study. We used item response modelling to estimate two bifactor models, which included general and specific dimensions of psychotic symptoms in patients and psychotic experiences in controls. The associations between these dimensions and cannabis use were evaluated using linear mixed-effects models analyses. RESULTS In patients, there was a linear relationship between the positive symptom dimension and the extent of lifetime exposure to cannabis, with daily users of high-potency cannabis having the highest score (B = 0.35; 95% CI 0.14-0.56). Moreover, negative symptoms were more common among patients who never used cannabis compared with those with any pattern of use (B = -0.22; 95% CI -0.37 to -0.07). In controls, psychotic experiences were associated with current use of cannabis but not with the extent of lifetime use. Neither patients nor controls presented differences in depressive dimension related to cannabis use. CONCLUSIONS Our findings provide the first large-scale evidence that FEP patients with a history of daily use of high-potency cannabis present with more positive and less negative symptoms, compared with those who never used cannabis or used low-potency types.
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Affiliation(s)
- Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK
- Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Laura Ferraro
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Caterina La Cascia
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Harriet Quigley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Andrea Quattrone
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98100, Messina, Italy
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK
| | | | | | - EU-GEI group
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - James B. Kirkbride
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London, W1T 7NF, UK
| | - Daniele La Barbera
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126Bologna, Italy
| | - Domenico Berardi
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126Bologna, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Piazzale L.A. Scuro 10, 37134Verona, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Piazzale L.A. Scuro 10, 37134Verona, Italy
| | - Andrei Szöke
- INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Celso Arango
- Child and Adolescent Psychiatry Department, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, C/Doctor Esquerdo 46, 28007Madrid, Spain
| | - Miquel Bernardo
- Department of Medicine, Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Julio Bobes
- Faculty of Medicine and Health Sciences – Psychiatry, Universidad de Oviedo, ISPA, INEUROPA. CIBERSAM, Oviedo, Spain
| | - Cristina Marta Del Ben
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | - Paulo Rossi Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | | | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital ‘Virgen de la Luz’, Cuenca, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental, Valencia, Spain
| | | | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Bart P. F. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Michael T. Lynskey
- National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 4 Windsor Walk, London, SE5 8BB, UK
| | - Tom P. Freeman
- National Addiction Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 4 Windsor Walk, London, SE5 8BB, UK
- Department of Psychology, University of Bath, 10 West, Bath, BA2 7AY, UK
| | - Pak C. Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong, China
- Li KaShing Faculty of Medicine, Centre for Genomic Sciences, The University of Hong Kong, Hong Kong, China
| | - Alastair G. Cardno
- Academic Unit of Psychiatry and Behavioural Sciences, University of Leeds, Leeds, UK
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Ulrich Reininghaus
- Medical Faculty Mannheim, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Cathryn M. Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Robin M. Murray
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, SE5 8AF, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King's College London, London, UK
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15
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Berendsen S, Van HL, van der Paardt JW, de Peuter OR, van Bruggen M, Nusselder H, Jalink M, Peen J, Dekker JJM, de Haan L. Exploration of symptom dimensions and duration of untreated psychosis within a staging model of schizophrenia spectrum disorders. Early Interv Psychiatry 2021; 15:669-675. [PMID: 32558322 PMCID: PMC8246761 DOI: 10.1111/eip.13006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 03/21/2020] [Accepted: 05/24/2020] [Indexed: 12/20/2022]
Abstract
AIM Clinical staging of schizophrenia entails a new method that identifies clusters of symptoms and variation in level of remission, with the goal to create a framework for early intervention. Additionally, duration of untreated psychosis (DUP) may influence symptom severity in the first episode of psychosis (FEP) and could necessitate refining of the staging model. However, consistent evidence concerning variation in symptom severity and DUP between stages is missing. Therefore, we evaluated the clinical validity of the staging model by investigating differences in symptom severity across stages in schizophrenia spectrum disorders. Second, we assessed if a prolonged DUP is associated with higher symptom severity in FEP. METHODS We performed a cross-sectional study of 291 acutely admitted patients with a schizophrenia spectrum disorder. Patients were assigned to clinical stages following the definition of McGorry. Symptom severity was evaluated with the new DSM-5 Clinician-Rated Dimensions of Psychosis Symptom Severity (CRDPSS). In FEP, we determined the DUP. RESULTS Significantly higher severity scores of CRDPSS items hallucinations (H = 14.34, df = 4, P-value = .006), negative symptoms (H = 19.678, df = 4, P-value = .001) and impaired cognition (H = 26.294, df = 4, P-value = <.001) were found in more advanced stages of disease. Moreover, patients with FEP and a DUP longer than 1 year showed significantly more severe negative symptoms (U = 314 000, P = .015) compared to patients with a DUP shorter than 1 year. CONCLUSIONS The present study found supporting evidence for the clinical validity of the staging model in schizophrenia spectrum disorders. In addition, we found support for refining the stage "first episode" with information concerning the DUP.
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Affiliation(s)
- Steven Berendsen
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands.,Department of Psychiatry, University Medical Center Amsterdam, location Academic Medical Center, Amsterdam, The Netherlands
| | - Henricus L Van
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | | | - Olav R de Peuter
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Marion van Bruggen
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Hans Nusselder
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Margje Jalink
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Jaap Peen
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Jack J M Dekker
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands.,Department of Clinical Psychology, University Medical Center Amsterdam, location Free University, Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Research, Arkin Mental Health Care, Amsterdam, The Netherlands.,Department of Psychiatry, University Medical Center Amsterdam, location Academic Medical Center, Amsterdam, The Netherlands
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16
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Tripoli G, Quattrone D, Ferraro L, Gayer-Anderson C, Rodriguez V, La Cascia C, La Barbera D, Sartorio C, Seminerio F, Tarricone I, Berardi D, Szöke A, Arango C, Tortelli A, Llorca PM, de Haan L, Velthorst E, Bobes J, Bernardo M, Sanjuán J, Santos JL, Arrojo M, Del-Ben CM, Menezes PR, Selten JP, Jones PB, Jongsma HE, Kirkbride JB, Lasalvia A, Tosato S, Richards A, O’Donovan M, Rutten BPF, van Os J, Morgan C, Sham PC, Murray RM, Murray GK, Di Forti M. Jumping to conclusions, general intelligence, and psychosis liability: findings from the multi-centre EU-GEI case-control study. Psychol Med 2021; 51:623-633. [PMID: 32327005 PMCID: PMC8020493 DOI: 10.1017/s003329171900357x] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 10/07/2019] [Accepted: 11/21/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND The 'jumping to conclusions' (JTC) bias is associated with both psychosis and general cognition but their relationship is unclear. In this study, we set out to clarify the relationship between the JTC bias, IQ, psychosis and polygenic liability to schizophrenia and IQ. METHODS A total of 817 first episode psychosis patients and 1294 population-based controls completed assessments of general intelligence (IQ), and JTC, and provided blood or saliva samples from which we extracted DNA and computed polygenic risk scores for IQ and schizophrenia. RESULTS The estimated proportion of the total effect of case/control differences on JTC mediated by IQ was 79%. Schizophrenia polygenic risk score was non-significantly associated with a higher number of beads drawn (B = 0.47, 95% CI -0.21 to 1.16, p = 0.17); whereas IQ PRS (B = 0.51, 95% CI 0.25-0.76, p < 0.001) significantly predicted the number of beads drawn, and was thus associated with reduced JTC bias. The JTC was more strongly associated with the higher level of psychotic-like experiences (PLEs) in controls, including after controlling for IQ (B = -1.7, 95% CI -2.8 to -0.5, p = 0.006), but did not relate to delusions in patients. CONCLUSIONS Our findings suggest that the JTC reasoning bias in psychosis might not be a specific cognitive deficit but rather a manifestation or consequence, of general cognitive impairment. Whereas, in the general population, the JTC bias is related to PLEs, independent of IQ. The work has the potential to inform interventions targeting cognitive biases in early psychosis.
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Affiliation(s)
- Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, LondonSE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Laura Ferraro
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
| | - Caterina La Cascia
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Daniele La Barbera
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Crocettarachele Sartorio
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Fabio Seminerio
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126Bologna, Italy
| | - Domenico Berardi
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126Bologna, Italy
| | - Andrei Szöke
- INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007Madrid, Spain
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, Paris75020, France
| | | | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZAmsterdam, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZAmsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Julián Clavería s/n, 33006Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Department of Medicine, Neuroscience Institute, Hospital clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital “Virgen de la Luz”, C/Hermandad de Donantes de Sangre, 16002Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculdade de Medicina, Universidade of São Paulo, São Paulo, Brazil
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, Sandifortdreef 19, 2333 ZZLeiden, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MDMaastricht, The Netherlands
| | | | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - Hannah E Jongsma
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road London, W1T 7NF, UK
| | - James B Kirkbride
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road London, W1T 7NF, UK
| | - Antonio Lasalvia
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Piazzale L.A. Scuro 10, 37134, Verona, Italy
| | - Alex Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Michael O’Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Bart PF Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MDMaastricht, The Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MDMaastricht, The Netherlands
- Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
| | - Pak C Sham
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, LondonSE5 8AF, UK
- Centre for Genomic Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, LondonSE5 8AF, UK
| | - Graham K. Murray
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, LondonSE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- South London and Maudsley NHS Mental Health Foundation Trust, London, UK
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17
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Vellozo AP, Fontenelle LF, Torresan RC, Shavitt RG, Ferrão YA, Rosário MC, Miguel EC, Torres AR. Symmetry Dimension in Obsessive-Compulsive Disorder: Prevalence, Severity and Clinical Correlates. J Clin Med 2021; 10:jcm10020274. [PMID: 33451078 PMCID: PMC7828517 DOI: 10.3390/jcm10020274] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 01/11/2021] [Accepted: 01/11/2021] [Indexed: 01/12/2023] Open
Abstract
Background: Obsessive–compulsive disorder (OCD) is a very heterogeneous condition that frequently includes symptoms of the “symmetry dimension” (i.e., obsessions and/or compulsions of symmetry, ordering, repetition, and counting), along with aggressive, sexual/religious, contamination/cleaning, and hoarding dimensions. Methods: This cross-sectional study aimed to investigate the prevalence, severity, and demographic and clinical correlates of the symmetry dimension among 1001 outpatients from the Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders. The main assessment instruments used were the Dimensional Yale–Brown Obsessive–Compulsive Scale, the Yale–Brown Obsessive–Compulsive Scale, the USP-Sensory Phenomena Scale, the Beck Depression and Anxiety Inventories, the Brown Assessment of Beliefs Scale, and the Structured Clinical Interview for DSM-IV Axis I Disorders. Chi-square tests, Fisher’s exact tests, Student’s t-tests, and Mann–Whitney tests were used in the bivariate analyses to compare patients with and without symptoms of the symmetry dimension. Odds ratios (ORs) with confidence intervals and Cohen’s D were also calculated as effect size measures. Finally, a logistic regression was performed to control for confounders. Results: The symmetry dimension was highly prevalent (86.8%) in this large clinical sample and, in the logistic regression, it remained associated with earlier onset of obsessive–compulsive symptoms, insidious onset of compulsions, more severe depressive symptoms, and presence of sensory phenomena. Conclusions: A deeper knowledge about specific OCD dimensions is essential for a better understanding and management of this complex and multifaceted disorder.
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Affiliation(s)
- Aline P. Vellozo
- Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Universidade Estadual Paulista—UNESP, Botucatu 18618-687, Brazil; (A.P.V.); (R.C.T.); (A.R.T.)
| | - Leonardo F. Fontenelle
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3168, Australia
- D’Or Institute for Research and Education & Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro 22290-140, Brazil
- Correspondence: ; Tel.: +61-3-990-29755
| | - Ricardo C. Torresan
- Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Universidade Estadual Paulista—UNESP, Botucatu 18618-687, Brazil; (A.P.V.); (R.C.T.); (A.R.T.)
| | - Roseli G. Shavitt
- Obsessive-Compulsive Spectrum Disorders Program, Department and Institute of Psychiatry, University of São Paulo, São Paulo 05403-010, Brazil; (R.G.S.); (E.C.M.)
| | - Ygor A. Ferrão
- Department of Psychiatry, Federal University of Health Sciences of Porto Alegre, Porto Alegre 90570-080, Brazil;
| | - Maria C. Rosário
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo 04038-000, Brazil;
| | - Euripedes C. Miguel
- Obsessive-Compulsive Spectrum Disorders Program, Department and Institute of Psychiatry, University of São Paulo, São Paulo 05403-010, Brazil; (R.G.S.); (E.C.M.)
| | - Albina R. Torres
- Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Universidade Estadual Paulista—UNESP, Botucatu 18618-687, Brazil; (A.P.V.); (R.C.T.); (A.R.T.)
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18
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Balachander S, Meier S, Matthiesen M, Ali F, Kannampuzha AJ, Bhattacharya M, Kumar Nadella R, Sreeraj VS, Ithal D, Holla B, Narayanaswamy JC, Arumugham SS, Jain S, Reddy YJ, Viswanath B. Are There Familial Patterns of Symptom Dimensions in Obsessive-Compulsive Disorder? Front Psychiatry 2021; 12:651196. [PMID: 33959055 PMCID: PMC8093508 DOI: 10.3389/fpsyt.2021.651196] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/11/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Obsessive-compulsive disorder (OCD) is a heterogeneous illness, and emerging evidence suggests that different symptom dimensions may have distinct underlying neurobiological mechanisms. We aimed to look for familial patterns in the occurrence of these symptom dimensions in a sample of families with at least two individuals affected with OCD. Methods: Data from 153 families (total number of individuals diagnosed with DSM-5 OCD = 330) recruited as part of the Accelerator Program for Discovery in Brain Disorders using Stem Cells (ADBS) was used for the current analysis. Multidimensional Item Response Theory (IRT) was used to extract dimensional scores from the Yale-Brown Obsessive-Compulsive Scale (YBOCS) checklist data. Using linear mixed-effects regression models, intra-class correlation coefficients (ICC), for each symptom dimension, and within each relationship type were estimated. Results: IRT yielded a four-factor solution with Factor 1 (Sexual/Religious/Aggressive), Factor 2 (Doubts/Checking), Factor 3 (Symmetry/Arranging), and Factor 4 (Contamination/Washing). All except for Factor 1 were found to have significant ICCs, highest for Factor 3 (0.41) followed by Factor 4 (0.29) and then Factor 2 (0.27). Sex-concordant dyads were found to have higher ICC values than discordant ones, for all the symptom dimensions. No major differences in the ICC values between parent-offspring and sib-pairs were seen. Conclusions: Our findings indicate that there is a high concordance of OCD symptom dimensions within multiplex families. Symptom dimensions of OCD might thus have significant heritability. In view of this, future genetic and neurobiological studies in OCD should include symptom dimensions as a key parameter in their analyses.
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Affiliation(s)
- Srinivas Balachander
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Sandra Meier
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Manuel Matthiesen
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada.,Department of Psychiatry Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany.,Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Furkhan Ali
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Anand Jose Kannampuzha
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Mahashweta Bhattacharya
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Ravi Kumar Nadella
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Vanteemar S Sreeraj
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Dhruva Ithal
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Bharath Holla
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Janardhanan C Narayanaswamy
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Shyam Sundar Arumugham
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India
| | - Sanjeev Jain
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Yc Janardhan Reddy
- Obsessive-Compulsive Disorder Clinic, Department of Psychiatry, National Institute of Mental Health & Neuro Sciences, Bangalore, India.,Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
| | - Biju Viswanath
- Accelerator Program for Discovery in Brain Disorders Using Stem Cells, National Institute of Mental Health & Neuro Sciences (NIMHANS), Bangalore, India
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19
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Blanco-Vieira T, Hoexter MQ, Batistuzzo MC, Alvarenga P, Szejko N, Fumo AMT, Miguel EC, do Rosário MC. Association Between Obsessive-Compulsive Symptom Dimensions in Mothers and Psychopathology in Their Children. Front Psychiatry 2021; 12:674261. [PMID: 34262490 PMCID: PMC8273307 DOI: 10.3389/fpsyt.2021.674261] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/06/2021] [Indexed: 12/21/2022] Open
Abstract
Background: The non-clinical presentation of obsessive-compulsive symptoms (OCS) in women may impact not only their daily lives and well-being but also increase the risk for emotional and behavioral problems in their children. This study aims to investigate the OCS dimension distribution in a large sample of mothers from a cohort of school age children and the association between these OCS dimensions with their own psychopathology, and with the presence of OCS and other psychopathology in their children. Method: Our final sample consisted of 2,511 mother-children dyads recruited from the elementary schools of two large cities. Throughout multiple regression analysis, we examined the correlations between demographic and clinical variables of mothers assessed by the Mini International Psychiatric Interview (MINI) and the Dimensional Yale-Brown Obsessive-Compulsive Scale-Short Version (DY-BOCS-SV) with children's psychopathology status reported by the Child Behavior Checklist (CBCL). Results: The overall prevalence of mothers who reported experiencing at least one OCS was 40% (N = 1,004). "Aggression/violence" was the most frequent symptom dimension (32.2%), followed by the "symmetry/ordering" (16.4%) and the "sexual/religious" dimensions (13.8%). There was a significant correlation between the presence of OCS and maternal psychopathology in general (p < 0.001, r = 0.397). Not only the presence but also the severity of the mother's OCS were strongly correlated to the total (p < 0.001), internalizing (p < 0.001), externalizing (p < 0.001), and OCS subscale scores (p < 0.001) on the CBCL. Conclusion: OCS dimensions are highly prevalent in women. Presence and severity of maternal OCS are related to children's psychopathology and behavioral problems.
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Affiliation(s)
- Thiago Blanco-Vieira
- Child and Adolescent Psychiatry Unit (UPIA), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil
| | - Marcelo Queiroz Hoexter
- Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil.,Institute of Psychiatry, University of São Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
| | - Marcelo C Batistuzzo
- Institute of Psychiatry, University of São Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil.,Department of Methods and Techniques in Psychology, Pontifical Catholic University, São Paulo, Brazil
| | - Pedro Alvarenga
- Institute of Psychiatry, University of São Paulo, São Paulo, Brazil.,Sírio-Libanês Hospital, São Paulo, Brazil
| | - Natalia Szejko
- Department of Neurology, Yale School of Medicine, New Haven, CT, United States.,Department of Neurology, Medical University of Warsaw, Warsaw, Poland.,Department of Bioethics, Medical University of Warsaw, Warsaw, Poland
| | - Afonso Mazine Tiago Fumo
- Institute of Psychiatry, University of São Paulo, São Paulo, Brazil.,Hospital Central da Beira, Beira, Mozambique
| | - Eurípedes C Miguel
- Institute of Psychiatry, University of São Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
| | - Maria Conceição do Rosário
- Child and Adolescent Psychiatry Unit (UPIA), Department of Psychiatry, Federal University of São Paulo, São Paulo, Brazil.,National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil
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20
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Kracker Imthon A, Antônio Caldart C, do Rosário MC, Fontenelle LF, Constantino Miguel E, Arzeno Ferrão Y. Stressful Life Events and the Clinical Expression of Obsessive-Compulsive Disorder (OCD): An Exploratory Study. J Clin Med 2020; 9:E3371. [PMID: 33096706 PMCID: PMC7590000 DOI: 10.3390/jcm9103371] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/05/2020] [Accepted: 10/07/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND In obsessive-compulsive disorder (OCD), symptom content and severity appear to fluctuate over the course of the life cycle in accordance with stressful life events. The objective of this paper was to compare OCD patients with and without reported stressful life events (SLEs) in terms of the sociodemographics of patients and the clinical characteristics of OCD. METHODS This was a cross-sectional study involving 1001 patients with OCD. Data concerning SLEs were collected via the Yale OCD Natural History Questionnaire, while for OCD symptoms, the Dimensional Yale-Brown Obsessive-Compulsive Scale was used. RESULTS Of the 1001 OCD patients, 605 (60.5%) reported experiencing at least one SLE in their lifetime. Self-declared nonwhite skin color (odds ratio (OR) = 1.51), the presence of a sensory phenomenon (OR = 1.47), and comorbidity with post-traumatic stress disorder (PTSD) (OR = 2.38) were some of the logistic regression variables related to the reported SLEs with relevant statistical significance and risk (i.e., OR) values. CONCLUSIONS Our results indicate that SLEs may make Brazilian OCD patients vulnerable to the onset or exacerbation of obsessive-compulsive symptoms. The positive association of the occurrence of SLEs and sensory phenomena in this population could corroborate that environmental influences impact the neurobiology associated with OCD, and likely with other psychiatric disorders as well.
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Affiliation(s)
- André Kracker Imthon
- Psychiatric Service, President Vargas Hospital, Porto Alegre 90035-074, Brazil; (C.A.C.); (Y.A.F.)
- Department of Internal Medicine-Psychiatry, Federal University of Health Sciences of Porto Alegre, Porto Alegre 90050-170, Brazil
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
| | - César Antônio Caldart
- Psychiatric Service, President Vargas Hospital, Porto Alegre 90035-074, Brazil; (C.A.C.); (Y.A.F.)
- Department of Internal Medicine-Psychiatry, Federal University of Health Sciences of Porto Alegre, Porto Alegre 90050-170, Brazil
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
| | - Maria Conceição do Rosário
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
- Child and Adolescent Psychiatry Unit (UPIA) at the Department of Psychiatry, Federal University of São Paulo, São Paulo 04017-030, Brazil
| | - Leonardo F. Fontenelle
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
- Turner Institute for Brain and Mental Health, Monash University, Clayton VIC 3800, Australia
- D’Or Institute for Research and Education (IDOR) and Institute of Psychiatry (IPUB), Federal University of Rio de Janeiro, Rio de Janeiro 22290-140, Brazil
| | - Euripedes Constantino Miguel
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
- Department of Psychiatry, São Paulo University Medical School, São Paulo 05403-903, Brazil
| | - Ygor Arzeno Ferrão
- Psychiatric Service, President Vargas Hospital, Porto Alegre 90035-074, Brazil; (C.A.C.); (Y.A.F.)
- Department of Internal Medicine-Psychiatry, Federal University of Health Sciences of Porto Alegre, Porto Alegre 90050-170, Brazil
- The Brazilian Research Consortium on Obsessive–Compulsive Spectrum Disorders, São Paulo 05403-903, Brazil; (M.C.d.R.); (L.F.F.); (E.C.M.)
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21
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Williams MT, Taylor RJ, George JR, Schlaudt VA, Ifatunji MA, Chatters LM. Correlates of Obsessive-Compulsive Symptoms Among Black Caribbean Americans. Int J Ment Health 2020; 50:53-77. [PMID: 33840831 PMCID: PMC8034584 DOI: 10.1080/00207411.2020.1826261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Despite the rapid growth of the Black Caribbean population in the United States, we know little about the presentation and prevalence of obsessive-compulsive disorder (OCD) among these groups. This study examines the demographic correlates and the effect of racial discrimination on OCD symptoms among a nationally-representative sample of Black Caribbean and African American adults (n = 5,191). Drawing on the Composite International Diagnostic Interview Short Form (CIDI-SF) for OCD, we examine two types of obsessions (harm and contamination) and four types of compulsions (repeating, washing, ordering, and counting). There we no significant differences between Black Caribbeans and African Americans in obsessions and compulsions. Analysis among Black Caribbeans found that compared with Jamaican and Trinidadian Americans, Haitian American individuals reported the fewest number of obsessions and compulsions. We show that Black Caribbean Americans with lower income, lower self-rated physical and mental health, and more experiences with racial discrimination report higher levels of OCD. More specifically, racial discrimination was associated with contamination and harm obsessions, as well as washing and repeating compulsions. Our findings highlight the need to consider specific domains of OCD relative to Black Caribbeans, and the relationship between social and demographic variables on symptomology.
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Affiliation(s)
| | | | - Jamilah R. George
- University of Connecticut, Department of Psychological Sciences, Storrs, CT
| | | | - Mosi Adesina Ifatunji
- University of Wisconsin at Madison, Department of Afro American Studies, Madison, WI
| | - Linda M. Chatters
- University of Michigan, School of Social Work, Ann Arbor, MI
- University of Michigan, School of Public Health, Ann Arbor, MI
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22
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Jimeno N, Gomez-Pilar J, Poza J, Hornero R, Vogeley K, Meisenzahl E, Haidl T, Rosen M, Klosterkötter J, Schultze-Lutter F. Main Symptomatic Treatment Targets in Suspected and Early Psychosis: New Insights From Network Analysis. Schizophr Bull 2020; 46:884-895. [PMID: 32010940 PMCID: PMC7345824 DOI: 10.1093/schbul/sbz140] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The early detection and intervention in psychoses prior to their first episode are presently based on the symptomatic ultra-high-risk and the basic symptom criteria. Current models of symptom development assume that basic symptoms develop first, followed by attenuated and, finally, frank psychotic symptoms, though interrelations of these symptoms are yet unknown. Therefore, we studied for the first time their interrelations using a network approach in 460 patients of an early detection service (mean age = 26.3 y, SD = 6.4; 65% male; n = 203 clinical high-risk [CHR], n = 153 first-episode psychosis, and n = 104 depression). Basic, attenuated, and frank psychotic symptoms were assessed using the Schizophrenia Proneness Instrument, Adult version (SPI-A), the Structured Interview for Psychosis-Risk Syndromes (SIPS), and the Positive And Negative Syndrome Scale (PANSS). Using the R package qgraph, network analysis of the altogether 86 symptoms revealed a single dense network of highly interrelated symptoms with 5 discernible symptom subgroups. Disorganized communication was the most central symptom, followed by delusions and hallucinations. In line with current models of symptom development, the network was distinguished by symptom severity running from SPI-A via SIPS to PANSS assessments. This suggests that positive symptoms developed from cognitive and perceptual disturbances included basic symptom criteria. Possibly conveying important insight for clinical practice, central symptoms, and symptoms "bridging" the association between symptom subgroups may be regarded as the main treatment targets, in order to prevent symptomatology from spreading or increasing across the whole network.
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Affiliation(s)
- Natalia Jimeno
- Department of Psychiatry, School of Medicine University of Valladolid, Valladolid, Spain
- Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany
- GINCS, Research Group on Clinical Neuroscience of Segovia, Segovia, Spain
| | - Javier Gomez-Pilar
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain
- CIBER-BBN, Centro de Investigacion Biomedica en Red-Bioingenieria, Biomateriales y Biomedicina, Valladolid, Spain
| | - Jesus Poza
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain
- CIBER-BBN, Centro de Investigacion Biomedica en Red-Bioingenieria, Biomateriales y Biomedicina, Valladolid, Spain
| | - Roberto Hornero
- Biomedical Engineering Group, University of Valladolid, Valladolid, Spain
- CIBER-BBN, Centro de Investigacion Biomedica en Red-Bioingenieria, Biomateriales y Biomedicina, Valladolid, Spain
| | - Kai Vogeley
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany
- INM3, Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany
| | - Theresa Haidl
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany
| | - Marlene Rosen
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany
| | - Joachim Klosterkötter
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne University of Cologne, Cologne, Germany
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany
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23
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Onu JU, Ohaeri JU. Association of family history of schizophrenia and history of obstetric complications at birth: relationship with age at onset and psychopathology dimensions in a Nigerian cohort. Afr Health Sci 2020; 20:697-708. [PMID: 33163034 PMCID: PMC7609104 DOI: 10.4314/ahs.v20i2.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The nature of the association between obstetric complications (OCs) at birth and the genetic aetiology of schizophrenia remains unclear, as some authors suggest that it is an independent risk factor while others support either interactionism or an epiphenomenon perspective. Objective To examine the association of family history of schizophrenia (FHS) with history of OCs, with a view to assessing whether this relationship moderates clinical phenotypes such as symptom dimensions and age at onset of illness. Methods This study examined OCs among schizophrenia probands using the Obstetric Complications Scale. An inquiry into family history was performed using the Family history method. Psychopathological symptom dimensions were assessed using standard scales. Data were analyzed to examine the interaction of FHS and history of OCs with age at onset and symptom dimensions, using ANCOVA. Results FHS was significantly associated with the disorganized symptoms dimension (p=0.03). History of OCs was significantly associated with earlier age at onset (p=0.007). However, in ANCOVA, the effect of the interaction between FHS and history of OCs was not significant for age at onset and symptom dimensions (P = 0.059). Conclusion FHS was significantly associated with disorganization syndrome, and OCs was significantly associated with age at onset.
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Affiliation(s)
- Justus Uchenna Onu
- Department of Mental Health, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria
- Corresponding author: Justus Uchenna Onu, Department of Mental Health, Faculty of Medicine, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria. Phone number: +2348034198509 E-mail address:
| | - Jude Uzoma Ohaeri
- Department of Psychological Medicine, University of Nigeria, Nsukka, Enugu Campus, Enugu State, Nigeria
- Jude Uzoma Ohaeri, Department of Psychological Medicine, University of Nigeria, Nsukka, Enugu Campus, Enugu State, Nigeria
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24
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Abstract
BACKGROUND Auditory verbal hallucinations (AVH) are a cardinal feature of schizophrenia, but they can also appear in otherwise healthy individuals. Imaging studies implicate language networks in the generation of AVH; however, it remains unclear if alterations reflect biologic substrates of AVH, irrespective of diagnostic status, age, or illness-related factors. We applied multimodal imaging to identify AVH-specific pathology, evidenced by overlapping gray or white matter deficits between schizophrenia patients and healthy voice-hearers. METHODS Diffusion-weighted and T1-weighted magnetic resonance images were acquired in 35 schizophrenia patients with AVH (SCZ-AVH), 32 healthy voice-hearers (H-AVH), and 40 age- and sex-matched controls without AVH. White matter fractional anisotropy (FA) and gray matter thickness (GMT) were computed for each region comprising ICBM-DTI and Desikan-Killiany atlases, respectively. Regions were tested for significant alterations affecting both SCZ-AVH and H-AVH groups, relative to controls. RESULTS Compared with controls, the SCZ-AVH showed widespread FA and GMT reductions; but no significant differences emerged between H-AVH and control groups. While no overlapping pathology appeared in the overall study groups, younger (<40 years) H-AVH and SCZ-AVH subjects displayed overlapping FA deficits across four regions (p < 0.05): the genu and splenium of the corpus callosum, as well as the anterior limbs of the internal capsule. Analyzing these regions with free-water imaging ascribed overlapping FA abnormalities to tissue-specific anisotropy changes. CONCLUSIONS We identified white matter pathology associated with the presence of AVH, independent of diagnostic status. However, commonalities were constrained to younger and more homogenous groups, after reducing pathologic variance associated with advancing age and chronicity effects.
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Affiliation(s)
- Maria Angelique Di Biase
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Amanda Lyall
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - René C W Mandl
- Department of Psychiatry, UMC Utrecht Brain Center, Utrecht, The Netherlands
- CNSR, Mental Health Center Glostrup, Glostrup, Denmark
| | - Iris E Sommer
- Department of Neuroscience, Rijksuniversiteit Groningen (RUG), University Medical Center Groningen, Antonie Deusinglaan 2 Groningen, The Netherlands
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Sinopoli VM, Erdman L, Burton CL, Park LS, Dupuis A, Shan J, Goodale T, Shaheen SM, Crosbie J, Schachar RJ, Arnold PD. Serotonin system genes and obsessive-compulsive trait dimensions in a population-based, pediatric sample: a genetic association study. J Child Psychol Psychiatry 2019; 60:1289-1299. [PMID: 31321769 DOI: 10.1111/jcpp.13079] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/03/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND Serotonin system genes are commonly studied in obsessive-compulsive disorder (OCD), but genetic studies to date have produced inconsistent results, possibly because phenotypic heterogeneity has not been adequately accounted for. In this paper, we studied candidate serotonergic genes and homogenous phenotypic subgroups as presented through obsessive-compulsive (OC) trait dimensions in a general population of children and adolescents. We hypothesized that different serotonergic gene variants are associated with different OC trait dimensions and, furthermore, that they vary by sex. METHODS Obsessive-compulsive trait dimensions (Cleaning/Contamination, Counting/Checking, Symmetry/Ordering, Superstition, Rumination, and Hoarding) were examined in a total of 5,213 pediatric participants in the community using the Toronto Obsessive-Compulsive Scale (TOCS). We genotyped candidate serotonin genes (directly genotyping the 5-HTTLPR polymorphism in SLC6A4 for 2018 individuals and using single nucleotide polymorphism (SNP) array data for genes SLC6A4, HTR2A, and HTR1B for 4711 individuals). We assessed the association between variants across these genes and each of the OC trait dimensions, within males and females separately. We analyzed OC traits as both (a) dichotomized based on a threshold value and (b) quantitative scores. RESULTS The [LG + S] variant in 5-HTTLPR was significantly associated with hoarding in males (p-value of 0.003 and 0.004 for categorical and continuous analyses, respectively). There were no significant findings for 5-HTTLPR in females. Using SNP array data, there were significant findings for rumination in males for HTR2A SNPs (p-value of 1.04e-6 to 5.20e-6). CONCLUSIONS This represents the first genetic association study of OC trait dimensions in a community-based pediatric sample. Our strongest results indicate that hoarding and rumination may be distinct in their association with serotonin gene variants and that serotonin gene variation may be specific to sex. Future genetic association studies in OCD should properly account for heterogeneity, using homogenous subgroups stratified by symptom dimension, sex, and age group.
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Affiliation(s)
- Vanessa M Sinopoli
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Program in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Lauren Erdman
- Program in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Christie L Burton
- Program in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Laura S Park
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Program in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Annie Dupuis
- Clinical Research Services, The Hospital for Sick Children, Toronto, ON, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Janet Shan
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Tara Goodale
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - S-M Shaheen
- Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Jennifer Crosbie
- Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Russell J Schachar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Paul D Arnold
- Program in Genetics & Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Departments of Psychiatry and Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Hellberg SN, Buchholz JL, Twohig MP, Abramowitz JS. Not just thinking, but believing: Obsessive beliefs and domains of cognitive fusion in the prediction of OCD symptom dimensions. Clin Psychol Psychother 2019; 27:69-78. [PMID: 31657499 DOI: 10.1002/cpp.2409] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 09/17/2019] [Accepted: 10/17/2019] [Indexed: 11/08/2022]
Abstract
Cognitive fusion (CF) involves the tendency to "buy in" to thoughts and feelings and consists of three empirically established domains: somatic concerns, emotion regulation, and negative evaluation. CF is hypothesized to play a role in obsessive-compulsive disorder (OCD). The present study examined how well the CF domains, relative to traditional cognitive-behavioural constructs (i.e., obsessive beliefs such as inflated responsibility), predict OCD symptoms. Fifty-two treatment-seeking adults with OCD completed self-report measures of CF, obsessive beliefs, OCD symptoms, and general distress. Domains of CF were differentially associated with the responsibility for harm, symmetry, and unacceptable thoughts of OCD dimensions; yet after accounting for obsessive beliefs, only the negative evaluation domain of CF significantly predicted symmetry OCD symptoms. Obsessive beliefs significantly predicted all OCD dimensions except for contamination. These findings provide additional support for existing cognitive-behavioural models of OCD across symptom dimensions, with the exception of contamination symptoms, and suggest that the believability of thoughts and feelings about negative evaluation adds to the explanation of symmetry symptoms. Conceptual and treatment implications, study limitations, and future directions are discussed.
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Affiliation(s)
- Samantha N Hellberg
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jennifer L Buchholz
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | | | - Jonathan S Abramowitz
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Szymkowicz SM, Woods AJ, Dotson VM, Porges EC, Nissim NR, O’Shea A, Cohen RA, Ebner NC. Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults. Aging Ment Health 2019; 23:819-830. [PMID: 29381390 PMCID: PMC6066456 DOI: 10.1080/13607863.2018.1432030] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES The associations between subclinical depressive symptoms, as well specific symptom subscales, on brain structure in aging are not completely elucidated. This study investigated the extent to which depressive symptoms were related to brain volumes in fronto-limbic structures in a sample of middle-aged to older adults. METHOD Eighty participants underwent structural neuroimaging and completed the Beck Depression Inventory, 2nd Edition (BDI-II), which comprises separate affective, cognitive, and somatic subscales. Gray matter volumes were extracted from the caudal and rostral anterior cingulate, posterior cingulate, hippocampus, and amygdala. Hierarchical regression models examined the relationship between brain volumes and (i) total depressive symptoms and (ii) BDI-II subscales were conducted. RESULTS After adjusting for total intracranial volume, race, and age, higher total depressive symptoms were associated with smaller hippocampal volume (p = 0.005). For the symptom subscales, after controlling for the abovementioned covariates and the influence of the other symptom subscales, more somatic symptoms were related to smaller posterior cingulate (p = 0.025) and hippocampal (p < 0.001) volumes. In contrast, the affective and cognitive subscales were not associated with brain volumes in any regions of interest. CONCLUSION Our data showed that greater symptomatology was associated with smaller volume in limbic brain regions. These findings provide evidence for preclinical biological markers of major depression and specifically advance knowledge of the relationship between subclinical depressive symptoms and brain volume. Importantly, we observed variations by specific depressive symptom subscales, suggesting a symptom-differential relationship between subclinical depression and brain volume alterations in middle-aged and older individuals.
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Affiliation(s)
- Sarah M. Szymkowicz
- Sarah M. Szymkowicz, M.S., 1Department of Clinical & Health Psychology, University of Florida, P.O. Box 100165, Gainesville, FL, 32610-0165. Phone: +1 (352) 273-6058.
| | - Adam J. Woods
- Adam J. Woods, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, P.O. Box 100015, Gainesville, FL, 32610-0015, 3Department of Neuroscience, University of Florida, P.O. Box 100244, Gainesville, FL, 32610-0244. Phone: +1 (352) 294-5842.
| | - Vonetta M. Dotson
- Vonetta M. Dotson, Ph.D., 4Department of Psychology, Georgia State University, P.O. Box 5010, Atlanta, GA, 30302-5010. Phone: +1 (404) 413-6207.
| | - Eric C. Porges
- Eric C. Porges, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5838.
| | - Nicole R. Nissim
- Nicole R. Nissim, M.S., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 3Department of Neuroscience, University of Florida. Phone: +1 (352) 294-5742.
| | - Andrew O’Shea
- Andrew O’Shea, M.S., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5827.
| | - Ronald A. Cohen
- Ronald A. Cohen, Ph.D., 1Department of Clinical & Health Psychology, University of Florida, 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida. Phone: +1 (352) 294-5840.
| | - Natalie C. Ebner
- Natalie C. Ebner, Ph.D., 2Center for Cognitive Aging & Memory, McKnight Brain Institute, University of Florida, 5Department of Psychology, University of Florida, P.O. Box 112250, Gainesville, FL, 32611, 6Department of Aging & Geriatric Research, University of Florida, 2004 Mowry Road, Gainesville, FL, 32611. Phone: +1 (203) 691-0371.
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Quattrone D, Di Forti M, Gayer-Anderson C, Ferraro L, Jongsma HE, Tripoli G, La Cascia C, La Barbera D, Tarricone I, Berardi D, Szöke A, Arango C, Lasalvia A, Tortelli A, Llorca PM, de Haan L, Velthorst E, Bobes J, Bernardo M, Sanjuán J, Santos JL, Arrojo M, Del-Ben CM, Menezes PR, Selten JP, Jones PB, Kirkbride JB, Richards AL, O'Donovan MC, Sham PC, Vassos E, Rutten BPF, van Os J, Morgan C, Lewis CM, Murray RM, Reininghaus U. Transdiagnostic dimensions of psychopathology at first episode psychosis: findings from the multinational EU-GEI study. Psychol Med 2019; 49:1378-1391. [PMID: 30282569 PMCID: PMC6518388 DOI: 10.1017/s0033291718002131] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Revised: 07/01/2018] [Accepted: 07/24/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The value of the nosological distinction between non-affective and affective psychosis has frequently been challenged. We aimed to investigate the transdiagnostic dimensional structure and associated characteristics of psychopathology at First Episode Psychosis (FEP). Regardless of diagnostic categories, we expected that positive symptoms occurred more frequently in ethnic minority groups and in more densely populated environments, and that negative symptoms were associated with indices of neurodevelopmental impairment. METHOD This study included 2182 FEP individuals recruited across six countries, as part of the EUropean network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) study. Symptom ratings were analysed using multidimensional item response modelling in Mplus to estimate five theory-based models of psychosis. We used multiple regression models to examine demographic and context factors associated with symptom dimensions. RESULTS A bifactor model, composed of one general factor and five specific dimensions of positive, negative, disorganization, manic and depressive symptoms, best-represented associations among ratings of psychotic symptoms. Positive symptoms were more common in ethnic minority groups. Urbanicity was associated with a higher score on the general factor. Men presented with more negative and less depressive symptoms than women. Early age-at-first-contact with psychiatric services was associated with higher scores on negative, disorganized, and manic symptom dimensions. CONCLUSIONS Our results suggest that the bifactor model of psychopathology holds across diagnostic categories of non-affective and affective psychosis at FEP, and demographic and context determinants map onto general and specific symptom dimensions. These findings have implications for tailoring symptom-specific treatments and inform research into the mood-psychosis spectrum.
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Affiliation(s)
- Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Laura Ferraro
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Hannah E Jongsma
- Department of Psychiatry, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Caterina La Cascia
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Daniele La Barbera
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy
| | - Domenico Berardi
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy
| | - Andrei Szöke
- INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007 Madrid, Spain
| | - Antonio Lasalvia
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata di Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, Paris 75020, France
| | | | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, The Netherlands
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Julián Clavería s/n, 33006 Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital clinic, Department of Medicine, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010 Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital “Virgen de la Luz”, C/Hermandad de Donantes de Sangre, 16002 Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Spain
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Paulo Rossi Menezes
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, Sandifortdreef 19, 2333 ZZ Leiden, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | | | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Herchel Smith Building for Brain & Mind Sciences, Forvie Site, Robinson Way, Cambridge, CB2 0SZ, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, CB21 5EF, UK
| | - James B Kirkbride
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, UK
| | - Alexander L Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff CF24 4HQ, UK
| | - Michael C O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff CF24 4HQ, UK
| | - Pak C Sham
- Department of Psychiatry, the University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Bart PF Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Cathryn M Lewis
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Robin M Murray
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, UK
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Ulrich Reininghaus
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200 MD Maastricht, The Netherlands
- Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
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Lee RSC, Hermens DF, Naismith SL, Kaur M, Guastella AJ, Glozier N, Scott J, Scott EM, Hickie IB. Clinical, neurocognitive and demographic factors associated with functional impairment in the Australian Brain and Mind Youth Cohort Study (2008-2016). BMJ Open 2018; 8:e022659. [PMID: 30567821 PMCID: PMC6303611 DOI: 10.1136/bmjopen-2018-022659] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES We sought to determine the unique and shared contributions of clinical, neurocognitive and demographic factors to functional impairment in a large, transdiagnostic, clinical cohort of adolescents and young adults. DESIGN Cross-sectional baseline data from a prospective, cohort study. SETTING Help-seeking youth referred from outpatient services were recruited to the Brain and Mind Youth Cohort (2008-2016) in Sydney, Australia. PARTICIPANTS In total, 1003 outpatients were recruited, aged between 12 and 36 years (mean= 20.4 years, 54% female), with baseline diagnoses of affective, psychotic, developmental or behavioural disorders. INTERVENTIONS Treatment as usual. PRIMARY OUTCOME MEASURES Social and occupational functioning was used to index level of functional impairment. Structural equation modelling was used to examine associations between neurocognition, core clinical symptoms and alcohol and substance use, and clinician-rated and researcher-rated functional impairment. Moderator analyses were conducted to determine the potential influence of demographic and clinical factors (eg, medication exposure). RESULTS Independent of diagnosis, we found that neurocognitive impairments, and depressive, anxiety and negative symptoms, were significantly associated with functioning. The association of neurocognition with social and occupational functioning remained significant even when constraining for age (15-25-year-olds only) or diagnosis (affective disorders only) in the final model. CONCLUSIONS This study demonstrated that, in a clinically representative sample of youth, the key determinants of functioning may not be disorder specific. Further, evidence of neurocognitive dysfunction suggests that interventions that target cognition and functioning should not necessarily be reserved just for older adults with established illness.
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Affiliation(s)
- Rico S C Lee
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- Brain and Mental Health Research Hub, Monash University, Melbourne, Victoria, Australia
| | - Daniel F Hermens
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Sharon L Naismith
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Manreena Kaur
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- The Monash Alfred Psychiatry Research Centre, Monash University, Melbourne, Victoria, Australia
| | - Adam J Guastella
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Nick Glozier
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- Marie Bashir Institute, University of Sydney, Sydney, New South Wales, Australia
| | - Jan Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, Newcastle, UK
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Elizabeth M Scott
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
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Goletz H, Döpfner M. [The clinical assessment of obsessive-compulsive symptoms in children and adolescents - A study with the Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS-D)]. Z Kinder Jugendpsychiatr Psychother 2018; 48:178-193. [PMID: 30556768 DOI: 10.1024/1422-4917/a000642] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The clinical assessment of obsessive-compulsive symptoms in children and adolescents - A study with the Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS-D) Abstract. Objective: The CY-BOCS is internationally the most widely used instrument for the assessment of juvenile obsessive-compulsive disorder (OCD). In this study, for the first time, the psychometric properties of a German version of the CY-BOCS (CY-BOCS-D) are examined in a pediatric OCD sample (n = 169; age 11-18 years). Method: The factor structure, internal consistencies, convergent and divergent validity are analyzed. Results: The exploratory factor analyses confirm a two-factor structure of the CY-BOCS-D Rating Scale and reveal a four-factor structure of the CY-BOCS-D Checklist. The internal consistencies are satisfactory to very good, convergent and divergent validity are confirmed. Conclusions: The results support the CY-BOCS as a "gold standard" also for OCD-diagnostics in German-speaking countries.
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Affiliation(s)
- Hildegard Goletz
- Ausbildungsinstitut für Kinder- und Jugendlichenpsychotherapie (AKiP), Klinikum der Universität zu Köln, Köln
| | - Manfred Döpfner
- Ausbildungsinstitut für Kinder- und Jugendlichenpsychotherapie (AKiP), Klinikum der Universität zu Köln, Köln.,Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Klinikum der Universität zu Köln, Köln
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Tümkaya S, Karadağ F, Yenigün EH, Özdel O, Kashyap H. Metacognitive Beliefs and Their Relation with Symptoms in Obsessive-Compulsive Disorder. ACTA ACUST UNITED AC 2018; 55:358-363. [PMID: 30622394 DOI: 10.29399/npa.22655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 02/16/2018] [Indexed: 11/07/2022]
Abstract
Introduction Metacognitive constructs have shown promise in explaining the symptoms of Obsessive-Compulsive Disorder (OCD). Few studies have examined the role of metacognitions in symptom dimensions of OCD, despite mounting clinical, neuropsychological and imaging evidence for the distinctiveness of these dimensions. Methods Metacognitions were assessed using the Metacognitions Questionnaire (MCQ-30) in 51 participants with DSM IV OCD and 46 healthy controls. The Maudsley Obsessional Compulsive Inventory (MOCI) was used to quantify symptom dimensions, along with the Hamilton Anxiety Rating Scale (HAM-A) for anxiety, and Hamilton Depression Rating Scale (HAM-D) for depression. Results Individuals with OCD differed from healthy controls on beliefs of uncontrollability and danger when depression and anxiety were controlled for. Correlations between metacognitive beliefs and obsessive-compulsive symptom dimensions were largely similar across the OCD and healthy control groups. Hierarchical regression showed that need to control thoughts contributed to checking, cleaning and rumination symptoms; cognitive self-consciousness to symptoms of slowness; uncontrollability and danger to doubt symptoms; positive beliefs to checking symptoms. Conclusions Specific associations between metacognitive variables and the different symptom dimensions of OCD are evident, however, severity of anxiety and depression also contribute to these associations.
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Affiliation(s)
- Selim Tümkaya
- Department of Psychiatry, Pamukkale University School of Medicine, Denizli, Turkey
| | - Filiz Karadağ
- Department of Psychiatry, Gazi University School of Medicine, Ankara, Turkey
| | | | - Osman Özdel
- Department of Psychiatry, Pamukkale University School of Medicine, Denizli, Turkey
| | - Himani Kashyap
- Department of Psychology, National Institute of Mental Health, Bangalore, India
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Williams MT, Ching THW, Tellawi G, Siev J, Dowell J, Schlaudt V, Slimowicz JC, Wetterneck CT. Assessing Sexual Orientation Symptoms in Obsessive-Compulsive Disorder: Development and Validation of the Sexual Orientation Obsessions and Reactions Test (SORT). Behav Ther 2018; 49:715-729. [PMID: 30146139 DOI: 10.1016/j.beth.2017.12.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 12/09/2017] [Accepted: 12/09/2017] [Indexed: 10/18/2022]
Abstract
Obsessive-compulsive disorder (OCD) includes many symptom presentations, which creates unique diagnostic challenges. Fears surrounding one's sexual orientation are common within OCD (also called SO-OCD), but SO-OCD is consistently misdiagnosed by physicians and psychologists. To address this issue, we describe the development of a self-report measure for assessing SO-OCD to help distinguish OCD from distress caused by a sexual orientation identity crisis. The current paper details two studies that established the psychometric properties and clinical utility of this measure. In Study 1, the factor structure, validity, and reliability were examined for the measure's 12 items in a sample of 1,673 university students. The results revealed a two-factor solution for the measure (Factor 1: Transformation Fears; Factor 2: Somatic Checking) and preliminary evidence of validity and reliability. In Study 2, the measure was tested with LGBTQ and heterosexual community samples and clinical samples of individuals with SO-OCD and other types of OCD. The two-factor solution and evidence of validity and reliability were supported in these samples. Cut-off points were established to distinguish between community members and SO-OCD sufferers, as well as between those experiencing SO-OCD and other types of OCD. Limitations and future directions are discussed.
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Affiliation(s)
- Monnica T Williams
- University of Connecticut; Behavioral Wellness Clinic and Louisville OCD Clinic, Louisville, KY.
| | | | - Ghazel Tellawi
- Behavioral Wellness Clinic and Louisville OCD Clinic, Louisville, KY; University of Louisville
| | | | - Jessica Dowell
- Behavioral Wellness Clinic and Louisville OCD Clinic, Louisville, KY; University of Louisville
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Pries LK, Guloksuz S, ten Have M, de Graaf R, van Dorsselaer S, Gunther N, Rauschenberg C, Reininghaus U, Radhakrishnan R, Bak M, Rutten BPF, van Os J. Evidence That Environmental and Familial Risks for Psychosis Additively Impact a Multidimensional Subthreshold Psychosis Syndrome. Schizophr Bull 2018; 44:710-719. [PMID: 29701807 PMCID: PMC6007403 DOI: 10.1093/schbul/sby051] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND The observed link between positive psychotic experiences (PE) and psychosis spectrum disorder (PSD) may be stronger depending on concomitant presence of PE with other dimensions of psychopathology. We examined whether the effect of common risk factors for PSD on PE is additive and whether the impact of risk factors on the occurrence of PE depends on the co-occurrence of other symptom dimensions (affective dysregulation, negative symptoms, and cognitive alteration). METHOD Data from the Netherlands Mental Health Survey and Incidence Study 2 were used. Risk factors included childhood adversity, cannabis use, urbanicity, foreign born, hearing impairment, and family history of affective disorders. Logistic regression models were applied to test (1) the additive effect of risk factors (4 levels) on PE and (2) the moderating effects of symptom dimensions on the association between risk factors (present/absent) and PE, using additive interaction, expressed as the interaction contrast ratio. RESULTS Risk factors were additive: the greater the number of risk factors, the greater the odds of PE. Furthermore, concomitant presence of the other symptom dimensions all increased the impact of risk factors on PE. After controlling for age, sex, and education, only affective dysregulation and negative symptoms remained significant moderators; only affective dysregulation remained a significant moderator if all dimensions were adjusted for each other. CONCLUSIONS Risk factors may not be directly associated with PE but additively give rise to a multidimensional subthreshold state anticipating the multidimensional clinical syndrome. Early motivational and cognitive impairments in the context of PE may be reducible to affective dysregulation.
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Affiliation(s)
- Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands,Department of Psychiatry, Yale University School of Medicine, New Haven, CT
| | - Margreet ten Have
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Ron de Graaf
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Saskia van Dorsselaer
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Nicole Gunther
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands,School of Psychology, Open University, Heerlen, The Netherlands
| | - Christian Rauschenberg
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ulrich Reininghaus
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands,Health Service and Population Research Department, Centre for Epidemiology and Public Health, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | | | - Maarten Bak
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Bart P F Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands,Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, the Netherlands,Department of Psychosis Studies, King’s College London, King’s Health Partners, Institute of Psychiatry, London, UK,To whom correspondence should be addressed; Department of Psychiatry, University Medical Centre Utrecht, PO Box 85500, 3508 GA Utrecht, the Netherlands; tel: +31-88-75-560-25, fax: +31-88-75-560-27, e-mail:
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Peters AT, Weinstein SM, Isaia A, VAN Meter A, Zulauf CA, West AE. Symptom Dimensions and Trajectories of Functioning Among Bipolar Youth: A Cluster Analysis. J Psychiatr Pract 2018; 24:146-57. [PMID: 30015785 DOI: 10.1097/PRA.0000000000000307] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Accurate assessment of pediatric bipolar disorder (BD) is important for allocating appropriate treatment, but it is complicated by significant heterogeneity in symptom presentation and high rates of comorbidity. Investigating clinical subtypes of the disorder may help to clarify diagnostic boundaries and inform targeted treatment. This study used a full diagnostic instrument to examine symptom patterns among youth with BD. METHOD Trained interviewers completed the Washington University Kiddie Schedule for Affective Disorders and Schizophrenia (WASH-U-KSADS) with 71 children (7 to 13 y of age) and families as part of the baseline assessment for a randomized clinical trial of Child- and Family-focused Cognitive-Behavioral Therapy (CFF-CBT) compared with treatment as usual (TAU) for pediatric BD. All participants met DSM-IV-TR criteria for a bipolar spectrum disorder. Hierarchical and K-means cluster analyses were performed. Resultant clusters were compared on symptom severity and psychosocial functioning at baseline and across treatment. RESULTS Two distinct symptom profiles emerged: "dysregulated/defiant" and "classic presentation." The dysregulated/defiant cluster was characterized by more externalizing and disruptive behaviors, whereas the classic cluster presented with more severe depression, hallmark manic symptoms, anxiety, and inattention. CFF-CBT consistently promoted psychosocial coping skills, such as problem solving and self-control, for the dysregulated/defiant cluster. TAU also promoted these skills among the individuals in the classic presentation group but not those with symptoms in the dysregulated/defiant cluster. DISCUSSION Pediatric BD may be characterized by distinct phenotypes with unique etiologies and pathways to impairment. The use of a parametric approach to classify the diverse symptom presentations helped yield valuable insights into how to promote the best prognosis for improved functional outcomes in CFF-CBT versus TAU for youth with pediatric BD.
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Stegmayer K, Stettler M, Strik W, Federspiel A, Wiest R, Bohlhalter S, Walther S. Resting state perfusion in the language network is linked to formal thought disorder and poor functional outcome in schizophrenia. Acta Psychiatr Scand 2017; 136:506-516. [PMID: 28865406 PMCID: PMC5656821 DOI: 10.1111/acps.12790] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/25/2017] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Formal thought disorder (FTD) is a core symptom in schizophrenia. Here, we focus on resting state cerebral blood flow (rCBF) linked to dimensions of FTD. METHODS We included 47 schizophrenia spectrum patients and 30 age- and gender-matched healthy controls. We assessed FTD with the assessment of thought, language, and communication (TLC) and imaging on a 3T MRI scanner. Within patients, we tested the association of FTD dimensions and in a subgroup (n = 27) the association of functional outcome after 6 months with whole brain rCBF. RESULTS Negative FTD was most prominently associated with perfusion within the superior temporal gyrus, while positive FTD was associated with perfusion within the supplementary motor area, and inferior frontal gyrus. Perfusion within the left supramarginal gyrus was associated with social functioning after 6 months. CONCLUSIONS Distinguishable associations of rCBF with FTD dimensions point to distinct underlying pathophysiology. The location of aberrant perfusion patterns suggests that negative FTD might reflect defective access to semantic memory while positive FTD likely reflects defective suppression of irrelevant information during increased speech production. Finally, the neural correlates of thought block were also predictive of poor functional outcome. Thus, functional outcome and distinct FTD dimensions may share some pathophysiology.
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Affiliation(s)
- K. Stegmayer
- Translational Research CenterUniversity Hospital of PsychiatryUniversity of BernBernSwitzerland
| | - M. Stettler
- Translational Research CenterUniversity Hospital of PsychiatryUniversity of BernBernSwitzerland
| | - W. Strik
- Translational Research CenterUniversity Hospital of PsychiatryUniversity of BernBernSwitzerland
| | - A. Federspiel
- Translational Research CenterUniversity Hospital of PsychiatryUniversity of BernBernSwitzerland
| | - R. Wiest
- Support Center of Advanced Neuroimaging (SCAN)University Institute of Diagnostic and Interventional NeuroradiologyInselspitalBernSwitzerland
| | - S. Bohlhalter
- Neurology and Neurorehabilitation CenterKantonsspital LuzernLucerneSwitzerland
| | - S. Walther
- Translational Research CenterUniversity Hospital of PsychiatryUniversity of BernBernSwitzerland
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Williams MT, Taylor RJ, Himle JA, Chatters LM. Demographic and health-related correlates of obsessive-compulsive symptoms among African Americans. J Obsessive Compuls Relat Disord 2017; 14:119-126. [PMID: 30079297 PMCID: PMC6072272 DOI: 10.1016/j.jocrd.2017.07.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
This study examined the correlates of the symptoms of obsessive-compulsive disorder (OCD) among a nationally-representative sample of African American adults (n = 3,570). Demographic and several self-rated health variables were examined. Although only 1.6% of the sample met DSM-IV diagnostic criteria for OCD, a sizeable proportion of the sample reported compulsions (12.5%) and obsessions (15.3%). Material hardship was positively associated with nearly all measured symptoms of OCD and fewer years of educational attainment was related to greater compulsive symptoms. Self-rated mental health was related to both compulsions and obsessions, and self-rated physical health was associated with counting and repeating compulsions. Implications and areas for further research with African Americans are discussed, including improving access to care for those most in need of services.
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Affiliation(s)
- Monnica T Williams
- College of Liberal Arts & Sciences, Department of Psychological Sciences School of Medicine, Department of Psychiatry, University of Connecticut
| | - Robert Joseph Taylor
- School of Social Work, Program for Research on Black Americans, Institute for Social Research, University of Michigan, Ann Arbor
| | - Joseph A Himle
- School of Social Work, Department of Psychiatry, University of Michigan, Ann Arbor
| | - Linda M Chatters
- School of Social Work, School of Public Health, Program for Research on Black Americans, Institute for Social Research, University of Michigan, Ann Arbor
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Mikolajewski AJ, Taylor J, Iacono WG. Oppositional defiant disorder dimensions: genetic influences and risk for later psychopathology. J Child Psychol Psychiatry 2017; 58:702-710. [PMID: 28059443 PMCID: PMC5438275 DOI: 10.1111/jcpp.12683] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/19/2016] [Indexed: 12/15/2022]
Abstract
BACKGROUND This study was undertaken to determine how well two oppositional defiant disorder (ODD) dimensions (irritable and headstrong/hurtful) assessed in childhood predict late adolescent psychopathology and the degree to which these outcomes can be attributed to genetic influences shared with ODD dimensions. METHODS Psychopathology was assessed via diagnostic interviews of 1,225 twin pairs at ages 11 and 17. RESULTS Consistent with hypotheses, the irritable dimension uniquely predicted overall internalizing problems, whereas the headstrong/hurtful dimension uniquely predicted substance use disorder symptoms. Both dimensions were predictive of antisocial behavior and overall externalizing problems. The expected relationships between the irritable dimension and specific internalizing disorders were not found. Twin modeling showed that the irritable and headstrong/hurtful dimensions were related to late adolescent psychopathology symptoms through common genetic influences. CONCLUSIONS Symptoms of ODD in childhood pose a significant risk for various mental health outcomes in late adolescence. Further, common genetic influences underlie the covariance between irritable symptoms in childhood and overall internalizing problems in late adolescence, whereas headstrong/hurtful symptoms share genetic influences with substance use disorder symptoms. Antisocial behavior and overall externalizing share common genetic influences with both the irritable and headstrong/hurtful dimensions.
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Affiliation(s)
- Amy J. Mikolajewski
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Tulane University, New Orleans, LA,Department of Psychology, Florida State University, Tallahassee, FL
| | - Jeanette Taylor
- Department of Psychology, Florida State University, Tallahassee, FL
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Yagi M, Hirano Y, Nakazato M, Nemoto K, Ishikawa K, Sutoh C, Miyata H, Matsumoto J, Matsumoto K, Masuda Y, Obata T, Iyo M, Shimizu E, Nakagawa A. Relationship between symptom dimensions and white matter alterations in obsessive-compulsive disorder. Acta Neuropsychiatr 2017; 29:153-63. [PMID: 27620171 DOI: 10.1017/neu.2016.45] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To investigate the relationship between the severities of symptom dimensions in obsessive-compulsive disorder (OCD) and white matter alterations. METHODS We applied tract-based spatial statistics for diffusion tensor imaging (DTI) acquired by 3T magnetic resonance imaging. First, we compared fractional anisotropy (FA) between 20 OCD patients and 30 healthy controls (HC). Then, applying whole brain analysis, we searched the brain regions showing correlations between the severities of symptom dimensions assessed by Obsessive-Compulsive Inventory-Revised and FA in all participants. Finally, we calculated the correlations between the six symptom dimensions and multiple DTI measures [FA, axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD)] in a region-of-interest (ROI) analysis and explored the differences between OCD patients and HC. RESULTS There were no between-group differences in FA or brain region correlations between the severities of symptom dimensions and FA in any of the participants. ROI analysis revealed negative correlations between checking severity and left inferior frontal gyrus white matter and left middle temporal gyrus white matter and a positive correlation between ordering severity and right precuneus in FA in OCD compared with HC. We also found negative correlations between ordering severity and right precuneus in RD, between obsessing severities and right supramarginal gyrus in AD and MD, and between hoarding severity and right insular gyrus in AD. CONCLUSION Our study supported the hypothesis that the severities of respective symptom dimensions are associated with different patterns of white matter alterations.
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Hanna GL, Liu Y, Isaacs YE, Ayoub AM, Torres JJ, O’Hara NB, Gehring WJ. Withdrawn/Depressed Behaviors and Error-Related Brain Activity in Youth With Obsessive-Compulsive Disorder. J Am Acad Child Adolesc Psychiatry 2016; 55:906-913.e2. [PMID: 27663946 PMCID: PMC5577943 DOI: 10.1016/j.jaac.2016.06.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Revised: 04/10/2016] [Accepted: 07/26/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE The pathophysiology of obsessive-compulsive disorder (OCD) involves increased activity in corticostriatal circuits connecting the anterior cingulate cortex with other brain regions. The error-related negativity (ERN) is a negative deflection in the event-related potential after an incorrect response that is believed to reflect anterior cingulate cortex activity. This study examined the relation of the ERN to OCD symptom dimensions and other childhood symptom dimensions. METHOD The ERN, correct response negativity, and accuracy were measured during a flanker task to assess performance monitoring in 80 youth with a lifetime diagnosis of OCD and 80 matched healthy comparison participants ranging from 8 to 18 years old. The relation of the ERN to OCD symptom dimension scores and Child Behavior Checklist Syndrome Scale scores was examined in multiple linear regression analyses. RESULTS Accuracy was significantly decreased and ERN amplitude was significantly increased in patients compared with controls. ERN amplitude in patients was significantly correlated with accuracy, but not with OCD symptom dimensions, severity, comorbidity, or treatment. In a multiple linear regression analysis using age, accuracy, OCD, and Child Behavior Checklist Syndrome Scale scores as predictors of ERN amplitude, the ERN had significant associations only with Withdrawn/Depressed Scale scores and accuracy. CONCLUSION An enlarged ERN is a neural correlate of pediatric OCD that is independent of OCD symptom expression and severity. The finding of lower accuracy in pediatric cases requires replication. The relation between an enhanced ERN and withdrawn/depressed behaviors warrants further research in youth with OCD and other internalizing disorders.
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Abstract
The picture of suicide in obsessive-compulsive disorder (OCD) is unclear because previous research did not uniformly control for depressive symptoms when examining the relationship between OCD and suicidality. Specific links between OC symptom dimensions and suicidality were also not adequately studied. As such, we investigated specific associations between OC symptom dimensions and suicidality, beyond the contribution of depressive symptoms, in an OCD analog sample of college students, a group traditionally at risk for suicide. One hundred and forty-six college students (103 females; 43 males) who exceeded the clinical cut-off for OC symptoms on the Obsessive-Compulsive Inventory, Revised (OCI-R) were recruited. Participants completed an online questionnaire containing measures that assessed suicidality and OC and depressive symptom severity. Total OC symptom severity, unacceptable thoughts, and especially violent obsessions exhibited significant positive zero-order correlations with suicidality. However, analyses of part correlations indicated that only violent obsessions had a significant unique association with suicidality after controlling for depressive symptoms. Our findings support the hypothesis that violent obsessions have a specific role in suicidality beyond the influence of depressive symptoms in an OCD analog sample of college students. A strong clinical focus on suicide risk assessment and safety planning in college students reporting violent obsessions is therefore warranted. Future related research should employ longitudinal or prospective designs and control for other possible comorbid symptoms in larger and more representative samples of participants formally diagnosed with OCD in order to verify the generalizability of our findings to these groups.
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Affiliation(s)
- Terence H W Ching
- a Department of Psychological Sciences , University of Connecticut , Storrs , CT , USA
| | - Monnica Williams
- a Department of Psychological Sciences , University of Connecticut , Storrs , CT , USA
| | - Jedidiah Siev
- b Psychology Department , Swarthmore College , Swarthmore , PA , USA
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Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a heterogeneous condition with a few major symptom dimensions. These symptom dimensions are thought to have unique clinical and neurobiological correlates. There seems to be a specific relation between OCD symptom dimensions and obsessive beliefs, but the findings are not consistent across studies. There is also a paucity of literature from culturally diverse settings. One of the reasons for the varied findings could be due to the method employed in measuring OCD symptoms. MATERIALS AND METHODS In this study, we examined the relation between symptom dimensions and obsessive beliefs using the Dimensional Yale-Brown Obsessive-Compulsive Scale and the Obsessive Beliefs Questionnaire respectively in 75 patients with Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition OCD. RESULTS Perfectionism predicted both aggressive and symmetry dimensions whereas responsibility beliefs predicted sexual and religious dimensions. CONCLUSIONS The findings suggest that certain obsessive beliefs predicted certain OCD symptom dimensions, but results are not entirely consistent with the published literature suggesting the possibility of cross-cultural variations. That the symptom dimensions have unique belief domains support the argument that symptom dimensions could be targeted to reduce the heterogeneity in etiological and treatment studies of OCD. Therapeutic interventions may have to aim at modifying unique belief domains underlying certain symptom dimensions rather than having generic cognitive-behavioral strategies.
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Affiliation(s)
- Trinette Cordeiro
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Mahendra P Sharma
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Kandavel Thennarasu
- Department of Biostatistics, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
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Wetterneck CT, Siev J, Adams TG, Slimowicz JC, Smith AH. Assessing Sexually Intrusive Thoughts: Parsing Unacceptable Thoughts on the Dimensional Obsessive-Compulsive Scale. Behav Ther 2015; 46:544-56. [PMID: 26163717 PMCID: PMC4809189 DOI: 10.1016/j.beth.2015.05.006] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2014] [Revised: 05/08/2015] [Accepted: 05/15/2015] [Indexed: 10/23/2022]
Abstract
Sexual obsessions are a common symptom of obsessive-compulsive disorder (OCD), often classified in a broader symptom dimension that includes aggressive and religious obsessions, as well. Indeed, the Dimensional Obsessive-Compulsive Scale (DOCS) Unacceptable Thoughts Scale includes obsessional content relating to sexual, violent, and religious themes associated with rituals that are often covert. However, there is reason to suspect that sexual obsessions differ meaningfully from other types of unacceptable thoughts. We conducted two studies to evaluate the factor structure, initial psychometric characteristics, and associated clinical features of a new DOCS scale for sexually intrusive thoughts (SIT). In the first study, nonclinical participants (N=475) completed the standard DOCS with additional SIT questions and we conducted an exploratory factor analysis on all items and examined clinical and cognitive correlates of the different scales, as well as test-retest reliability. The SIT Scale was distinct from the Unacceptable Thoughts Scale and was predicted by different obsessional cognitions. It had good internal consistency and there was evidence for convergent and divergent validity. In the second study, we examined the relationships among the standard DOCS and SIT scales, as well as types of obsessional cognitions and symptom severity, in a clinical sample of individuals with OCD (N=54). There were indications of both convergence and divergence between the Unacceptable Thoughts and SIT scales, which were strongly correlated with each other. Together, the studies demonstrate the potential utility of assessing sexually intrusive thoughts separately from the broader category of unacceptable thoughts.
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Drenckhan I, Glöckner-Rist A, Rist F, Richter J, Gloster AT, Fehm L, Lang T, Alpers GW, Hamm AO, Fydrich T, Kircher T, Arolt V, Deckert J, Ströhle A, Wittchen HU, Gerlach AL. Dimensional structure of bodily panic attack symptoms and their specific connections to panic cognitions, anxiety sensitivity and claustrophobic fears. Psychol Med 2015; 45:1675-1685. [PMID: 25482960 DOI: 10.1017/s0033291714002803] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Previous studies of the dimensional structure of panic attack symptoms have mostly identified a respiratory and a vestibular/mixed somatic dimension. Evidence for additional dimensions such as a cardiac dimension and the allocation of several of the panic attack symptom criteria is less consistent. Clarifying the dimensional structure of the panic attack symptoms should help to specify the relationship of potential risk factors like anxiety sensitivity and fear of suffocation to the experience of panic attacks and the development of panic disorder. METHOD In an outpatient multicentre study 350 panic patients with agoraphobia rated the intensity of each of the ten DSM-IV bodily symptoms during a typical panic attack. The factor structure of these data was investigated with nonlinear confirmatory factor analysis (CFA). The identified bodily symptom dimensions were related to panic cognitions, anxiety sensitivity and fear of suffocation by means of nonlinear structural equation modelling (SEM). RESULTS CFA indicated a respiratory, a vestibular/mixed somatic and a cardiac dimension of the bodily symptom criteria. These three factors were differentially associated with specific panic cognitions, different anxiety sensitivity facets and suffocation fear. CONCLUSIONS Taking into account the dimensional structure of panic attack symptoms may help to increase the specificity of the associations between the experience of panic attack symptoms and various panic related constructs.
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Affiliation(s)
- I Drenckhan
- Clinical Psychology and Psychotherapy,Institute of Psychology,University of Münster,Fliednerstraße 21,Münster,Germany
| | - A Glöckner-Rist
- Department Survey Design and Methodology,GESIS Leibniz Institute for Social Science,Mannheim,Germany
| | - F Rist
- Clinical Psychology and Psychotherapy,Institute of Psychology,University of Münster,Fliednerstraße 21,Münster,Germany
| | - J Richter
- Department of Biological and Clinical Psychology,University of Greifswald,Greifswald,Germany
| | - A T Gloster
- Institute of Clinical Psychology and Psychotherapy,Technische Universität Dresden,Dresden,Germany
| | - L Fehm
- Department of Psychology,Humboldt University of Berlin,Berlin,Germany
| | - T Lang
- Christoph-Dornier Foundation for Clinical Psychology,Bremen,Germany
| | - G W Alpers
- Department of Clinical and Biological Psychology,University of Mannheim,Mannheim,Germany
| | - A O Hamm
- Department of Biological and Clinical Psychology,University of Greifswald,Greifswald,Germany
| | - T Fydrich
- Department of Psychology,Humboldt University of Berlin,Berlin,Germany
| | - T Kircher
- Department of Psychiatry and Psychotherapy,Philipps-University Marburg,Marburg,Germany
| | - V Arolt
- Department of Psychiatry,University of Münster,Germany
| | - J Deckert
- Department of Psychiatry,Psychosomatics and Psychotherapy,University of Würzburg,Würzburg,Germany
| | - A Ströhle
- Department of Psychiatry and Psychotherapy,Charité-UniversitätsmedizinBerlin,Germany
| | - H-U Wittchen
- Institute of Clinical Psychology and Psychotherapy,Technische Universität Dresden,Dresden,Germany
| | - A L Gerlach
- Clinical Psychology and Psychotherapy,Institute of Psychology,University of Münster,Fliednerstraße 21,Münster,Germany
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Kirton JW, Resnick SM, Davatzikos C, Kraut MA, Dotson VM. Depressive symptoms, symptom dimensions, and white matter lesion volume in older adults: a longitudinal study. Am J Geriatr Psychiatry 2014; 22:1469-77. [PMID: 24211028 PMCID: PMC3984387 DOI: 10.1016/j.jagp.2013.10.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 09/18/2013] [Accepted: 10/07/2013] [Indexed: 11/19/2022]
Abstract
OBJECTIVE White matter lesions (WMLs) are associated with depressive symptoms in older adults. However, it is not clear whether different symptom dimensions of depression have distinct associations with WMLs. The authors assessed the longitudinal relationships of the Center for Epidemiologic Studies Depression Scale (CES-D) total score and subscale scores with WML volume in the Baltimore Longitudinal Study of Aging. METHODS Using a prospective observational design, the authors examined WML volume and depressive symptoms at 1- to 2-year intervals for up to 9 years in 116 dementia-free participants (mean age: 68.78 ± 7.68). At each visit, depressive symptoms were measured with the CES-D and WML volumes were quantified from structural magnetic resonance imaging scans. RESULTS Higher CES-D full-scale scores were associated with greater WML volume and with a faster rate of volume increases over time in women, especially at older ages. Higher depressed mood and somatic symptoms subscale scores were associated with greater increases in WML volume over time at older ages. In men, depressed mood and somatic symptoms were associated with larger WML volume at baseline. CONCLUSION Findings confirm an association between WMLs and depressive symptoms and suggest that depressed mood and somatic symptoms may be stronger predictors of depression-related brain changes than lack of well-being. Age and sex may moderate the relationships between depressive symptoms and WMLs. Understanding particular symptom dimensions of depressive symptoms has implications for treatment and may lead to targeted interventions and more precise knowledge of mechanisms underlying depression.
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Affiliation(s)
- Joshua W Kirton
- Department of Clinical & Health Psychology, University of Florida, Gainesville, FL
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, PA
| | - Michael A Kraut
- Department of Radiology, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Vonetta M Dotson
- Department of Clinical & Health Psychology, University of Florida, Gainesville, FL.
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McGuire JF, Crawford EA, Park JM, Storch EA, Murphy TK, Larson MJ, Lewin AB. Neuropsychological performance across symptom dimensions in pediatric obsessive compulsive disorder. Depress Anxiety 2014; 31:988-96. [PMID: 24523044 DOI: 10.1002/da.22241] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2013] [Revised: 12/07/2013] [Accepted: 01/03/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Few studies have examined neuropsychological functioning among youth with obsessive compulsive disorder (OCD), with inconclusive results. Although methodological differences may contribute to inconsistent findings, clinical factors may also account for differential performance. Symptom dimensions are associated with specific patterns of genetic transmission, comorbidity, and treatment outcome, and may also be uniquely associated with neuropsychological performance. This study examined differences in cognitive sequelae and neurocognitive impairment across symptom dimensions among youth with OCD. METHOD Participants included 93 treatment-seeking youth diagnosed with OCD. A trained clinician administered the Children's Yale-Brown Obsessive Compulsive Scale (CY-BOCS) to parents and children together. Afterward, youth completed a battery of neuropsychological tests that assessed nonverbal memory and fluency, verbal memory, verbal fluency, verbal learning, processing speed, and inhibition/switching. RESULTS Across five symptom dimensions, youth exhibiting Hoarding symptoms (χ(2) = 5.21, P = .02) and Symmetry/Ordering symptoms had a greater occurrence of cognitive sequelae (χ(2) = 4.86, P = .03). Additionally, youth with Symmetry/Ordering symptoms had a greater magnitude of cognitive impairment (Mann-Whitney U = 442.50, Z = -2.49, P < .02), with specific deficits identified on nonverbal fluency (P < .01), processing speed (P < .01), and inhibition and switching (P < .02). CONCLUSIONS Neuropsychological deficits identified in youth with Hoarding and Symmetry/Ordering symptoms may suggest that these symptoms have characteristics specific to neurocognitive impairment. Alternatively, symptoms associated with these dimensions may impede youth's performance during testing. Findings advise neuropsychological testing for youth with symptoms on either of these dimensions when concerns about neuropsychological and/or academic impairment are present.
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Affiliation(s)
- Joseph F McGuire
- Department of Psychology, University of South Florida, Tampa, Florida; Department of Pediatrics, University of South Florida, Saint Petersburg, Florida
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Lázaro L, Calvo A, Ortiz AG, Ortiz AE, Morer A, Moreno E, Calvo R, Bargallo N. Microstructural brain abnormalities and symptom dimensions in child and adolescent patients with obsessive-compulsive disorder: a diffusion tensor imaging study. Depress Anxiety 2014; 31:1007-17. [PMID: 25450164 DOI: 10.1002/da.22330] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Revised: 09/29/2014] [Accepted: 10/04/2014] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The aims of this study were to determine white matter (WM) microstructure abnormalities in obsessive-compulsive disorder (OCD) using diffusion tensor imaging, and to investigate whether these abnormalities differ according to OCD symptom dimensions. METHODS Sixty-three child and adolescent OCD patients (11-18 years old) and 37 healthy subjects matched for gender, age, and estimated intelligence quotient were assessed by means of psychopathology scales and diffusion tensor magnetic resonance imaging. RESULTS Compared with healthy controls OCD patients showed a significant decrease (t = 3.79, P = .049 FDR-corrected) in fractional anisotropy (FA) in the anterior region of the corpus callosum (CC). In addition, mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) values were significantly increased in OCD compared with controls in the CC and in several WM regions of the cingulate, frontal and occipital lobes, basal ganglia, cerebellum, and pons. Compared with healthy controls, OCD patients presenting the harm/checking dimension showed decreased FA in the CC and in the left anterior cingulate gyrus and caudate nucleus, whereas patients with a predominant contamination/washing symptom dimension presented significantly decreased FA in the left midbrain, lentiform nucleus, insula, and thalamus, and increased MD, AD, and RD in both the anterior lobes of cerebellum and in the pons. CONCLUSIONS The findings suggest WM abnormalities at the microstructural level in the pathogenesis of OCD. Moreover, WM abnormalities in OCD may vary according to the specific OCD symptom dimensions, thus indicating the clinical heterogeneity of the condition.
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Affiliation(s)
- Luisa Lázaro
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en red de Salud Mental (CIBERSAM), Spain
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Oher FJ, Demjaha A, Jackson D, Morgan C, Dazzan P, Morgan K, Boydell J, Doody GA, Murray RM, Bentall RP, Jones PB, Kirkbride JB. The effect of the environment on symptom dimensions in the first episode of psychosis: a multilevel study. Psychol Med 2014; 44:2419-2430. [PMID: 24443807 PMCID: PMC4070408 DOI: 10.1017/s0033291713003188] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Revised: 12/06/2013] [Accepted: 12/06/2013] [Indexed: 02/02/2023]
Abstract
BACKGROUND The extent to which different symptom dimensions vary according to epidemiological factors associated with categorical definitions of first-episode psychosis (FEP) is unknown. We hypothesized that positive psychotic symptoms, including paranoid delusions and depressive symptoms, would be more prominent in more urban environments. METHOD We collected clinical and epidemiological data on 469 people with FEP (ICD-10 F10-F33) in two centres of the Aetiology and Ethnicity in Schizophrenia and Other Psychoses (AESOP) study: Southeast London and Nottinghamshire. We used multilevel regression models to examine neighbourhood-level and between-centre differences in five symptom dimensions (reality distortion, negative symptoms, manic symptoms, depressive symptoms and disorganization) underpinning Schedules for Clinical Assessment in Neuropsychiatry (SCAN) Item Group Checklist (IGC) symptoms. Delusions of persecution and reference, along with other individual IGC symptoms, were inspected for area-level variation. RESULTS Reality distortion [estimated effect size (EES) 0.15, 95% confidence interval (CI) 0.06-0.24] and depressive symptoms (EES 0.21, 95% CI 0.07-0.34) were elevated in people with FEP living in more urban Southeast London but disorganized symptomatology was lower (EES -0.06, 95% CI -0.10 to -0.02), after controlling for confounders. Delusions of persecution were not associated with increased neighbourhood population density [adjusted odds ratio (aOR) 1.01, 95% CI 0.83-1.23], although an effect was observed for delusions of reference (aOR 1.41, 95% CI 1.12-1.77). Hallucinatory symptoms showed consistent elevation in more densely populated neighbourhoods (aOR 1.32, 95% CI 1.09-1.61). CONCLUSIONS In people experiencing FEP, elevated levels of reality distortion and depressive symptoms were observed in more urban, densely populated neighbourhoods. No clear association was observed for paranoid delusions; hallucinations were consistently associated with increased population density. These results suggest that urban environments may affect the syndromal presentation of psychotic disorders.
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Affiliation(s)
- F. J. Oher
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
- Faculty of Medicine, Lund
University, Sweden
| | - A. Demjaha
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - D. Jackson
- MRC Biostatistics Unit,
University of Cambridge, UK
| | - C. Morgan
- NIHR Biomedical Research Centre and Section of
Social Psychiatry, Health Service and Population Research Department,
Institute of Psychiatry, King's College London,
UK
| | - P. Dazzan
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - K. Morgan
- Department of Psychology,
University of Westminster, London,
UK
| | - J. Boydell
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - G. A. Doody
- Division of Psychiatry,
University of Nottingham, UK
| | - R. M. Murray
- NIHR Biomedical Research Centre, Psychosis Studies
Department, Institute of Psychiatry, King's College
London, UK
| | - R. P. Bentall
- Institute of Psychology, Health and
Society, University of Liverpool,
UK
| | - P. B. Jones
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
| | - J. B. Kirkbride
- Department of Psychiatry, Herchel Smith Building for
Brain and Mind Sciences, University of Cambridge,
UK
- Division of Psychiatry,
University College London, UCL
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Russo M, Levine SZ, Demjaha A, Di Forti M, Bonaccorso S, Fearon P, Dazzan P, Pariante CM, David AS, Morgan C, Murray RM, Reichenberg A. Association between symptom dimensions and categorical diagnoses of psychosis: a cross-sectional and longitudinal investigation. Schizophr Bull 2014; 40:111-9. [PMID: 23661632 PMCID: PMC3885297 DOI: 10.1093/schbul/sbt055] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
CONTEXT Cross-sectional studies of the signs and symptoms of psychosis yield dimensional phenotypes. However, the validity and clinical utility of such dimensions remain debated. This study investigated the structure of psychotic symptomatology, the stability of the structure over time, and the concordance between symptom dimensions and categorical diagnoses. METHODS Sample consisted of 500 first-episode psychotic patients. A cross-sectional study (N = 500) investigated the organizational structure of symptom dimensions at the onset of psychosis and its concordance with categorical diagnoses; next, a nested longitudinal study (N = 100) examined the stability of the symptom dimensions structure after 5-10 years of follow-up. RESULTS Factor analyses identified 6 first-order factors (mania, negative, disorganization, depression, hallucinations, and delusions) and 2 high-order factors (affective and nonaffective psychoses). Cumulative variance accounted for by the first and high-order factors was 63%: 31% by the first-order factors and 32% by the high-order factors. The factorial structure of psychotic symptoms during first episode remained stable after 5-10 years of follow-up. The overall concordance between 4 categorical diagnostic groups (schizophrenia, mania with psychosis, psychotic depression and schizoaffective disorder) and dimensional symptom ranged from 62.2% to 73.1% (when the schizoaffective group was excluded). CONCLUSIONS Symptoms of psychosis assume a multidimensional hierarchical structure. This hierarchical model was stable over time and showed good concordance with categorical diagnoses. The combined use of dimensional and categorical approach to psychotic disorders would be of clinical and research utility.
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Affiliation(s)
- Manuela Russo
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK;,Department of Psychiatry, Mount Sinai School of Medicine, New York, NY;,*To whom correspondence should be addressed; 1 Gustave L Levy Place, Box 1230, NY 10029, US; tel: +1 212-241-0755, fax: +1 212-996-8931, e-mail:
| | - Stephen Z. Levine
- Department of Community Mental Health, University of Haifa, Haifa, Israel
| | - Arsime Demjaha
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Marta Di Forti
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Stefania Bonaccorso
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Paul Fearon
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Carmine M. Pariante
- Department of Psychological Medicine, Institute of Psychiatry, King’s College London, London, UK
| | - Anthony S. David
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Craig Morgan
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK
| | - Abraham Reichenberg
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, UK;,Department of Psychiatry, Mount Sinai School of Medicine, New York, NY
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Dittrich WH, Johansen T. Cognitive deficits of executive functions and decision-making in obsessive-compulsive disorder. Scand J Psychol 2013; 54:393-400. [PMID: 23841985 DOI: 10.1111/sjop.12066] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2012] [Accepted: 05/09/2013] [Indexed: 11/30/2022]
Abstract
The nature of cognitive deficits in obsessive-compulsive disorder (OCD) is characterized by contradictory findings in terms of specific neuropsychological deficits. Selective impairments have been suggested to involve visuospatial memory, set shifting, decision-making and response inhibition. The aim of this study was to investigate cognitive deficits in decision-making and executive functioning in OCD. It was hypothesized that the OCD patients would be less accurate in their responses compared to the healthy controls in rational decision-making on a version of the Cambridge gambling task (CGT) and on the color-word interference test and on a version of the Tower of Hanoi test (tower test) of executive functioning. Thirteen participants with OCD were compared to a group of healthy controls (n = 13) matched for age, gender, education and verbal IQ. Results revealed significant differences between the OCD group and the healthy control group on quality of decision-making on the CGT and for achievement score on the tower test. On these two tasks the OCD group performed worse than the healthy control group. The symptom-dimension analysis revealed performance differences where safety checking patients were impaired on the tower test compared to contamination patients. Results are discussed in the framework of cognition and emotion processing and findings implicate that OCD models should address, specifically, the interaction between cognition and emotion. Here the emotional disruption hypothesis is forwarded to account for the dysfunctional behaviors in OCD. Further implications regarding methodological and inhibitory factors affecting cognitive information processing are highlighted.
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Affiliation(s)
- Winand H Dittrich
- Research Center for Behavioral Economics, FOM Hochschule, Frankfurt am Main, Germany.
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50
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Kichuk SA, Torres AR, Fontenelle LF, Rosário MC, Shavitt RG, Miguel EC, Pittenger C, Bloch MH. Symptom dimensions are associated with age of onset and clinical course of obsessive-compulsive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2013; 44:233-9. [PMID: 23410525 PMCID: PMC3654083 DOI: 10.1016/j.pnpbp.2013.02.003] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2012] [Revised: 02/02/2013] [Accepted: 02/05/2013] [Indexed: 11/28/2022]
Abstract
Meta-analysis of the heterogeneous symptoms of obsessive-compulsive disorder (OCD) has found a four-factor structure of symptom dimensions consisting of cleaning, forbidden thoughts, symmetry, and hoarding. Research into age of onset of symptom dimensions has yielded inconsistent results, and it is unknown whether symptoms along these dimensions differ in their clinical course. We assessed age of onset and clinical course of different OCD symptom dimensions in a large cohort of adult patients. Nine-hundred fifty-five subjects were assessed using the Dimensional Yale-Brown Obsessive-Compulsive Scale. For age of onset analysis, we tested across three methods of classification: (1) primary (more severe) symptom dimension (2) clinically significant symptoms within a dimension or (3) any symptoms within a dimension. Age of onset was defined as the earliest age of onset reported for any individual item within a symptom dimension. For analysis of different types of clinical course, we used chi-square tests to assess for differences between primary symptom dimensions. OCD symptoms in the symmetry dimension had an earlier age of onset than other OCD symptom dimensions. These findings remained significant across all three methods of classification and controlling for gender and comorbid tics. No significant differences were found between the other dimensions. Subjects with primary OCD symptoms in the forbidden thoughts dimension were more likely to report a waxing-and-waning course, whereas symmetry symptoms were less likely to be associated with a waxing-and-waning course.
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