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Michelini G, Carlisi CO, Eaton NR, Elison JT, Haltigan JD, Kotov R, Krueger RF, Latzman RD, Li JJ, Levin-Aspenson HF, Salum GA, South SC, Stanton K, Waldman ID, Wilson S. Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum. World Psychiatry 2024; 23:333-357. [PMID: 39279404 PMCID: PMC11403200 DOI: 10.1002/wps.21225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/18/2024] Open
Abstract
Features of autism spectrum disorder, attention-deficit/hyperactivity disorder, learning disorders, intellectual disabilities, and communication and motor disorders usually emerge early in life and are associated with atypical neurodevelopment. These "neurodevelopmental conditions" are grouped together in the DSM-5 and ICD-11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges in both research and clinical settings (e.g., high co-occurrence, arbitrary diagnostic boundaries, high within-disorder heterogeneity). Taking a transdiagnostic dimensional approach provides a useful alternative for addressing these limitations, accounting for shared underpinnings across neurodevelopmental conditions, and characterizing their common co-occurrence and developmental continuity with other psychiatric conditions. Neurodevelopmental features have not been adequately considered in transdiagnostic psychiatric frameworks, although this would have fundamental implications for research and clinical practices. Growing evidence from studies on the structure of neurodevelopmental and other psychiatric conditions indicates that features of neurodevelopmental conditions cluster together, delineating a "neurodevelopmental spectrum" ranging from normative to impairing profiles. Studies on shared genetic underpinnings, overlapping cognitive and neural profiles, and similar developmental course and efficacy of support/treatment strategies indicate the validity of this neurodevelopmental spectrum. Further, characterizing this spectrum alongside other psychiatric dimensions has clinical utility, as it provides a fuller view of an individual's needs and strengths, and greater prognostic utility than diagnostic categories. Based on this compelling body of evidence, we argue that incorporating a new neurodevelopmental spectrum into transdiagnostic frameworks has considerable potential for transforming our understanding, classification, assessment, and clinical practices around neurodevelopmental and other psychiatric conditions.
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Affiliation(s)
- Giorgia Michelini
- Department of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, Stony Brook, NY, USA
| | - Jed T Elison
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
| | - John D Haltigan
- Department of Psychiatry, Division of Child and Youth Mental Health, University of Toronto, Toronto, ON, Canada
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | | | - James J Li
- Department of Psychology, University of Wisconsin-Madison, Madison, WI, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Giovanni A Salum
- Child Mind Institute, New York, NY, USA
- Universidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Instituto Nacional de Psiquiatria do Desenvolvimento para a Infância e Adolescência, São Paulo, Brazil
| | - Susan C South
- Department of Psychological Sciences, College of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
| | - Kasey Stanton
- Department of Psychology, University of Wyoming, Laramie, WY, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
| | - Sylia Wilson
- Institute of Child Development, University of Minnesota, Minneapolis, MN, USA
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Bucci P, Mucci A, Giordano GM, Caporusso E, Giuliani L, Gibertoni D, Rossi A, Rocca P, Bertolino A, Galderisi S. Insight in cognitive impairment assessed with the Cognitive Assessment Interview in a large sample of patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024; 274:1343-1354. [PMID: 37380743 PMCID: PMC11362188 DOI: 10.1007/s00406-023-01641-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 06/13/2023] [Indexed: 06/30/2023]
Abstract
The Cognitive Assessment Interview (CAI) is an interview-based scale measuring cognitive impairment and its impact on functioning in subjects with schizophrenia (SCZ). The present study aimed at assessing, in a large sample of SCZ (n = 601), the agreement between patients and their informants on CAI ratings, to explore patients' insight in their cognitive deficits and its relationships with clinical and functional indices. Agreement between patient- and informant-based ratings was assessed by the Gwet's agreement coefficient. Predictors of insight in cognitive deficits were explored by stepwise multiple regression analyses. Patients reported lower severity of cognitive impairment vs. informants. A substantial to almost perfect agreement was observed between patients' and informants' ratings. Lower insight in cognitive deficits was associated to greater severity of neurocognitive impairment and positive symptoms, lower severity of depressive symptoms, and older age. Worse real-life functioning was associated to lower insight in cognitive deficit, worse neurocognitive performance, and worse functional capacity. Our findings indicate that the CAI is a valid co-primary measure with the interview to patients providing a reliable assessment of their cognitive deficits. In the absence of informants with good knowledge of the subject, the interview to the patient may represent a valid alternative.
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Affiliation(s)
- Paola Bucci
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Giulia M Giordano
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - Edoardo Caporusso
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Dino Gibertoni
- Research and Innovation Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy
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Kerber A, Ehrenthal JC, Zimmermann J, Remmers C, Nolte T, Wendt LP, Heim P, Müller S, Beintner I, Knaevelsrud C. Examining the role of personality functioning in a hierarchical taxonomy of psychopathology using two years of ambulatory assessed data. Transl Psychiatry 2024; 14:340. [PMID: 39181872 PMCID: PMC11344763 DOI: 10.1038/s41398-024-03046-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 07/26/2024] [Accepted: 07/31/2024] [Indexed: 08/27/2024] Open
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) arranges phenotypes of mental disorders based on empirical covariation, ranging from narrowly defined symptoms to higher-order spectra of psychopathology. Since the introduction of personality functioning (PF) in DSM-5 and ICD-11, several studies have identified PF as a predictor of transdiagnostic aspects of psychopathology. However, the role of PF in the HiTOP classification system has not been systematically examined. This study investigates how PF can be integrated into HiTOP, whether PF accounts for transdiagnostic variance captured in higher-order spectra, and how its predictive value for future affective well-being (AWB) and psychosocial impairment (PSI) compares to the predictive value of specific psychopathology beyond PF. To this end, we examined two years of ambulatory assessed data on psychopathology, PF, PSI, and AWB of N = 27,173 users of a mental health app. Results of bass-ackwards analyses largely aligned with the current HiTOP working model. Using bifactor modeling, aspects of PF were identified to capture most of the internalizing, thought disorder, and externalizing higher-order factor variance. In longitudinal prediction analyses employing bifactor-(S-1) modeling, PF explained 58.6% and 30.6% of variance in PSI and AWB when assessed across one year, respectively, and 33.1% and 23.2% of variance when assessed across two years. Results indicate that personality functioning may largely account for transdiagnostic variance captured in the higher-order components in HiTOP as well as longitudinal outcomes of PSI and AWB. Clinicians and their patients may benefit from assessing PF aspects such as identity problems or internal relationship models in a broad range of mental disorders. Further, incorporating measures of PF may advance research in biological psychiatry by providing empirically sound phenotypes.
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Affiliation(s)
- André Kerber
- Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany.
| | | | | | - Carina Remmers
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
| | - Tobias Nolte
- Research Department of Clinical, Educational and Health Psychology, UCL, and Anna Freud, London, UK
| | - Leon P Wendt
- Department of Psychology, University of Kassel, Kassel, Germany
| | - Phileas Heim
- Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany
| | - Sascha Müller
- Department of Psychosomatics and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | | | - Christine Knaevelsrud
- Division of Clinical-Psychological Intervention, Freie Universität Berlin, Berlin, Germany
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Jirsaraie RJ, Gatavins MM, Pines AR, Kandala S, Bijsterbosch JD, Marek S, Bogdan R, Barch DM, Sotiras A. Mapping the neurodevelopmental predictors of psychopathology. Mol Psychiatry 2024:10.1038/s41380-024-02682-7. [PMID: 39107582 DOI: 10.1038/s41380-024-02682-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 07/13/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024]
Abstract
Neuroimaging research has uncovered a multitude of neural abnormalities associated with psychopathology, but few prediction-based studies have been conducted during adolescence, and even fewer used neurobiological features that were extracted across multiple neuroimaging modalities. This gap in the literature is critical, as deriving accurate brain-based models of psychopathology is an essential step towards understanding key neural mechanisms and identifying high-risk individuals. As such, we trained adaptive tree-boosting algorithms on multimodal neuroimaging features from the Lifespan Human Connectome Developmental (HCP-D) sample that contained 956 participants between the ages of 8 to 22 years old. Our feature space consisted of 1037 anatomical, 1090 functional, and 192 diffusion MRI features, which were used to derive models that separately predicted internalizing symptoms, externalizing symptoms, and the general psychopathology factor. We found that multimodal models were the most accurate, but all brain-based models of psychopathology yielded out-of-sample predictions that were weakly correlated with actual symptoms (r2 < 0.15). White matter microstructural properties, including orientation dispersion indices and intracellular volume fractions, were the most predictive of general psychopathology, followed by cortical thickness and functional connectivity. Spatially, the most predictive features of general psychopathology were primarily localized within the default mode and dorsal attention networks. These results were mostly consistent across all dimensions of psychopathology, except orientation dispersion indices and the default mode network were not as heavily weighted in the prediction of internalizing and externalizing symptoms. Taken with prior literature, it appears that neurobiological features are an important part of the equation for predicting psychopathology but relying exclusively on neural markers is clearly not sufficient, especially among adolescent samples with subclinical symptoms. Consequently, risk factor models of psychopathology may benefit from incorporating additional sources of information that have also been shown to explain individual differences, such as psychosocial factors, environmental stressors, and genetic vulnerabilities.
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Affiliation(s)
- Robert J Jirsaraie
- Division of Computational and Data Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Martins M Gatavins
- Lifespan Brain Institute, Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
| | - Adam R Pines
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Sridhar Kandala
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Janine D Bijsterbosch
- Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Scott Marek
- Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- AI for Health Institute, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Ryan Bogdan
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Deanna M Barch
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
- Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO, USA
| | - Aristeidis Sotiras
- Department of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
- Institute for Informatics, Data Science & Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
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Petzke TM, Weber K, Van den Bergh O, Witthöft M. Illustrating the pathway from affect to somatic symptom: the Affective Picture Paradigm. Cogn Emot 2024; 38:801-817. [PMID: 38411187 DOI: 10.1080/02699931.2024.2319273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/05/2023] [Accepted: 10/09/2023] [Indexed: 02/28/2024]
Abstract
High levels of somatic symptom distress represent a core component of both mental and physical illness. The exact aetiology and pathogenesis of this transdiagnostic phenomenon remain largely unknown. The Affective Picture Paradigm (APP) represents an innovative experimental paradigm to study somatic symptom distress. Based on the HiTOP framework and a population-based sampling approach, associations between facets of somatic symptom distress and symptoms induced by the APP were explored in two studies (N1 = 201; N2 = 254) using structural equation bi-factor models. Results showed that the APP effect was significantly positively correlated with general somatic symptom distress (PHQ-15, HiTOP), cardio-respiratory symptoms (PHQ-15), as well as difficulties identifying feelings. In conclusion, negative affective cues in the APP can elicit somatic symptoms, particularly in people with higher levels of somatic symptom distress. Difficulties identifying feelings might contribute to this phenomenon. Results are compatible with a predictive processing account of somatic symptom perception.
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Affiliation(s)
- Tara M Petzke
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes-Gutenberg-University Mainz, Mainz, Germany
| | - Kathrin Weber
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes-Gutenberg-University Mainz, Mainz, Germany
| | | | - Michael Witthöft
- Department of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes-Gutenberg-University Mainz, Mainz, Germany
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Carmichael J, Ponsford J, Gould KR, Tiego J, Forbes MK, Kotov R, Fornito A, Spitz G. A Transdiagnostic, Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI). J Neurotrauma 2024. [PMID: 38970424 DOI: 10.1089/neu.2024.0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2024] Open
Abstract
Psychopathology, including depression, anxiety, and post-traumatic stress, is a significant yet inadequately addressed feature of moderate-severe traumatic brain injury (TBI). Progress in understanding and treating post-TBI psychopathology may be hindered by limitations associated with conventional diagnostic approaches, specifically the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). The Hierarchical Taxonomy of Psychopathology (HiTOP) offers a promising, transdiagnostic alternative to psychiatric classification that may more effectively capture the experiences of individuals with TBI. However, HiTOP lacks validation in the TBI population. To address this gap, we administered a comprehensive questionnaire battery, including 56 scales assessing homogeneous symptom components and maladaptive traits within HiTOP, to 410 individuals with moderate-severe TBI. We evaluated the reliability and unidimensionality of each scale and revised those with psychometric problems. Using a top-down, exploratory latent variable approach (bass-ackwards modeling), we subsequently constructed a hierarchical model of psychopathological dimensions tailored to TBI. The results showed that, relative to norms, participants with moderate-severe TBI experienced greater problems in the established HiTOP internalizing and detachment spectra, but fewer problems with thought disorder and antagonism. Fourteen of the 56 scales demonstrated psychometric problems, which often appeared reflective of the TBI experience and associated disability. The Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI) model encompassed broad internalizing and externalizing spectra, splitting into seven narrower dimensions: Detachment, Dysregulated Negative Emotionality, Somatic Symptoms, Compensatory and Phobic Reactions, Self-Harm and Psychoticism, Rigid Constraint, and Harmful Substance Use. This study presents the most comprehensive empirical classification of psychopathology after TBI to date. It introduces a novel, TBI-specific transdiagnostic questionnaire battery and model, which addresses the limitations of conventional DSM and ICD diagnoses. The empirical structure of psychopathology after TBI largely aligned with the established HiTOP model (e.g., a detachment spectrum). However, these constructs need to be interpreted in relation to the unique experiences associated with TBI (e.g., considering the injury's impact on the person's social functioning). By overcoming the limitations of conventional diagnostic approaches, the HiTOP-TBI model has the potential to accelerate our understanding of the causes, correlates, consequences, and treatment of psychopathology after TBI.
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Affiliation(s)
- Jai Carmichael
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Kate Rachel Gould
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Miriam K Forbes
- School of Psychological Sciences, Macquarie University, Sydney, Australia
| | - Roman Kotov
- Stony Brook University, New York, New York, USA
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Gershon Spitz
- Monash-Epworth Rehabilitation Research Centre, School of Psychological Sciences, Monash University, Melbourne, Australia
- Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
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Kumar S, Davidson CA, Saini R, Jain R. The Role of Intolerance of Uncertainty and Religiousness in Schizotypal Personality and Life Satisfaction: A Cross-Sectional Study. THE JOURNAL OF PSYCHOLOGY 2024:1-19. [PMID: 39013006 DOI: 10.1080/00223980.2024.2372578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/18/2024] [Indexed: 07/18/2024] Open
Abstract
Intolerance of uncertainty is an important trans-diagnostic determinant of mental disorders. It is related to psychotic symptoms and religiousness. Religiousness is related to schizotypal personality and wellbeing. Therefore, in a cross-sectional study, we studied the effects of intolerance of uncertainty and religiousness on schizotypal personality and the schizotypal personality-mediated effects of intolerance of uncertainty and religiousness on life satisfaction. On a sample of 734 college students (age, M = 20.3, SD = 3.48), intolerance of uncertainty, religiousness, life satisfaction, and schizotypal personality were measured through paper-pencil questionnaires. The results showed that intolerance of uncertainty had positive (direct) relationships with all schizotypal personality dimensions. However, intolerance of uncertainty had positive (mediated by ideas of reference and magical thinking) and negative (mediated by eccentric behavior) indirect effects on life satisfaction. Religiousness had direct as well as indirect (mediated by eccentric behavior) positive effects on life satisfaction. However, the behaving (mediated by ideas of reference) and belonging (mediated by magical thinking) sub-dimensions of religiousness had some indirect negative effects on life satisfaction. Thus, the present study shows that intolerance of uncertainty is an important contributor to psychotic proneness. Religiousness is largely health-enhancing. Moreover, there is a nuanced pattern of interactional relationship between intolerance of uncertainty, religiousness, schizotypal personality, and life satisfaction. We have discussed the theoretical and applied implications of the findings.
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Randau M, Bach B, Reinholt N, Pernet C, Oranje B, Rasmussen BS, Arnfred S. Transdiagnostic psychopathology in the light of robust single-trial event-related potentials. Psychophysiology 2024; 61:e14562. [PMID: 38459627 DOI: 10.1111/psyp.14562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/25/2024] [Accepted: 02/24/2024] [Indexed: 03/10/2024]
Abstract
Recent evidence indicates that event-related potentials (ERPs) as measured on the electroencephalogram (EEG) are more closely related to transdiagnostic, dimensional measures of psychopathology (TDP) than to diagnostic categories. A comprehensive examination of correlations between well-studied ERPs and measures of TDP is called for. In this study, we recruited 50 patients with emotional disorders undergoing 14 weeks of transdiagnostic group psychotherapy as well as 37 healthy comparison subjects (HC) matched in age and sex. HCs were assessed once and patients three times throughout treatment (N = 172 data sets) with a battery of well-studied ERPs and psychopathology measures consistent with the TDP framework The Hierarchical Taxonomy of Psychopathology (HiTOP). ERPs were quantified using robust single-trial analysis (RSTA) methods and TDP correlations with linear regression models as implemented in the EEGLAB toolbox LIMO EEG. We found correlations at several levels of the HiTOP hierarchy. Among these, a reduced P3b was associated with the general p-factor. A reduced error-related negativity correlated strongly with worse symptomatology across the Internalizing spectrum. Increases in the correct-related negativity correlated with symptoms loading unto the Distress subfactor in the HiTOP. The Flanker N2 was related to specific symptoms of Intrusive Cognitions and Traumatic Re-experiencing and the mismatch negativity to maladaptive personality traits at the lowest levels of the HiTOP hierarchy. Our study highlights the advantages of RSTA methods and of using validated TDP constructs within a consistent framework. Future studies could utilize machine learning methods to predict TDP from a set of ERP features at the subject level.
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Affiliation(s)
- Martin Randau
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Bo Bach
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Nina Reinholt
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Copenhagen University Hospital, Copenhagen, Denmark
| | - Belinda S Rasmussen
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Sidse Arnfred
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
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Jacobs GR, Ameis SH, Szatmari P, Haltigan JD, Voineskos AN. Bifactor models of psychopathology using multi-informant and multi-instrument dimensional measures in the ABCD study. JCPP ADVANCES 2024; 4:e12228. [PMID: 38827988 PMCID: PMC11143956 DOI: 10.1002/jcv2.12228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 11/20/2023] [Indexed: 06/05/2024] Open
Abstract
Background Due to limitations of categorical definitions of mental illness, there is a need for quantitative empirical investigations of the dimensional structure of psychopathology. Using exploratory bifactor methods, this study investigated a comprehensive and representative structure of psychopathology in children to better understand how psychotic-like experiences (PLEs), autism spectrum disorder (ASD) symptoms, impulsivity, and sensitivity to reward and punishment, may be integrated into extant general factor models of psychopathology. Methods We used seven child-report and three parent-report instruments capturing diverse mental health symptoms in 11,185 children aged 9-10 from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study. We built on previous modeling frameworks by conducting both split sample and full sample factor analytic approaches that harnessed recent methodological advances in bifactor exploratory structural equation modeling (B-ESEM) to examine a wide range of psychopathology measures not previously integrated into a single analysis. Validity of psychopathology dimensions was examined by investigating associations with sex, age, cognition, imaging measures, and medical service usage. Results All four factor analytic models showed excellent fit and similar structure within informant. PLEs loaded most highly onto a general psychopathology factor, suggesting that they may reflect non-specific risk for mental illness. ASD symptoms loaded separately from attention/hyperactivity symptoms. Symptoms of impulsivity and sensitivity to reward and punishment loaded onto specific factors, distinct from externalizing and internalizing factors. All identified factors were associated with clinically relevant risk factors, providing preliminary evidence for their construct validity. Conclusion By integrating diverse child-report and parent-report psychopathology measures for children in the ABCD sample, we deliver data on the quantitative structure of psychopathology for an exceptionally large set of measurements and discuss implications for the field.
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Affiliation(s)
- Grace R. Jacobs
- Centre for Addiction and Mental HealthTorontoOntarioCanada
- Institute of Medical ScienceTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Stephanie H. Ameis
- Centre for Addiction and Mental HealthTorontoOntarioCanada
- Institute of Medical ScienceTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of PsychiatryTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Peter Szatmari
- Centre for Addiction and Mental HealthTorontoOntarioCanada
- Department of PsychiatryTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- The Hospital for Sick ChildrenTorontoOntarioCanada
| | - John D. Haltigan
- Centre for Addiction and Mental HealthTorontoOntarioCanada
- The Hospital for Sick ChildrenTorontoOntarioCanada
| | - Aristotle N. Voineskos
- Centre for Addiction and Mental HealthTorontoOntarioCanada
- Institute of Medical ScienceTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of PsychiatryTemerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
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Guinart D, Fagiolini A, Fusar-Poli P, Giordano GM, Leucht S, Moreno C, Correll CU. On the Road to Individualizing Pharmacotherapy for Adolescents and Adults with Schizophrenia - Results from an Expert Consensus Following the Delphi Method. Neuropsychiatr Dis Treat 2024; 20:1139-1152. [PMID: 38812809 PMCID: PMC11133879 DOI: 10.2147/ndt.s456163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/27/2024] [Indexed: 05/31/2024] Open
Abstract
Introduction Schizophrenia is a severe mental illness that usually begins in late adolescence or early adulthood. Current pharmacological treatments, while acceptably effective for many patients, are rarely clinically tailored or individualized. The lack of sufficient etiopathological knowledge of the disease, together with overall comparable effect sizes for efficacy between available antipsychotics and the absence of clinically actionable biomarkers, has hindered the advance of individualized medicine in the treatment of schizophrenia. Nevertheless, some degree of stratification based on clinical markers could guide treatment choices and help clinicians move toward individualized psychiatry. To this end, a panel of experts met to formally discuss the current approach to individualized treatment in schizophrenia and to define how treatment individualization could help improve clinical outcomes. Methods A task force of seven experts iteratively developed, evaluated, and refined questionnaire items, which were then evaluated using the Delphi method. Descriptive statistics were used to summarize and rank expert responses. Expert discussion, informed by the results of a scoping review on personalizing the pharmacologic treatment of adults and adolescents with schizophrenia, ultimately generated recommendations to guide individualized pharmacologic treatment in this population. Results There was substantial agreement among the expert group members, resulting in the following recommendations: 1) individualization of treatment requires consideration of the patient's diagnosis, clinical presentation, comorbidities, previous treatment response, drug tolerability, adherence patterns, and social factors; 2) patient preferences should be considered in a shared decision-making approach; 3) identified barriers to personalized care that need to be overcome include the lack of actionable biomarkers and mechanistic similarities between available treatments, but digital tools should be increasingly used to enhance individualized treatment. Conclusion Individualized care can help provide effective, tailored treatments based on an individual's clinical characteristics, disease trajectory, family and social environment, and goals and preferences.
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Affiliation(s)
- Daniel Guinart
- Institut de Salut Mental, Parc de Salut Mar, Barcelona, Spain
- Hospital Del Mar Research Institute, CIBERSAM, Barcelona, Spain
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Andrea Fagiolini
- Department of Molecular Medicine, University of Siena School of Medicine, Siena, Italy
| | - Paolo Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Department of Psychosis Studies, King’s College London, London, UK
- Outreach and Support in South-London (OASIS) Service, South London and Maudsley (Slam) NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University Munich, Munich, Germany
| | | | - Stefan Leucht
- Technical University of Munich, TUM School of Medicine and Health, Department of Psychiatry and Psychotherapy, Munich, Germany
| | - Carmen Moreno
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (LISGM), Madrid, Spain
- Centro de Investigación Biomedica en Red (CIBERSAM), ISCIII, Madrid, Spain
- School of Medicine, Universidad Complutense, Madrid, Spain
| | - Christoph U Correll
- Department of Psychiatry, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, The Zucker Hillside Hospital, New York, NY, USA
- Department of Child and Adolescent Psychiatry, Charité Universitatsmedizin, Berlin, Germany
- German Center for Mental Health (DZPG), Partner Site, Berlin, Germany
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11
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Cowan HR, Williams TF, Mittal VA, Addington J, Bearden CE, Cadenhead KS, Cannon TD, Cornblatt BA, Keshevan M, Perkins DO, Mathalon DH, Stone W, Woods SW, Walker EF. The Complex Latent Structure of Attenuated Psychotic Symptoms: Hierarchical and Bifactor Models of SIPS Symptoms Replicated in Two Large Samples at Clinical High Risk for Psychosis. Schizophr Bull 2024:sbae042. [PMID: 38728417 DOI: 10.1093/schbul/sbae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2024]
Abstract
BACKGROUND AND HYPOTHESIS The Structured Interview for Psychosis-Risk Syndromes (SIPS) and other assessments of psychosis risk define clinical high risk for psychosis (CHR) by the presence of attenuated psychotic symptoms. Despite extensive research on attenuated psychotic symptoms, substantial questions remain about their internal psychometric structure and relationships to comorbid non-psychotic symptoms. STUDY DESIGN Hierarchical and bifactor models were developed for the SIPS in a large CHR sample (NAPLS-3, N = 787) and confirmed through preregistered replication in an independent sample (NAPLS-2, N = 1043). Criterion validity was tested through relationships with CHR status, comorbid symptoms/diagnoses, functional impairment, demographics, neurocognition, and conversion to psychotic disorders. STUDY RESULTS Most variance in SIPS items (75%-77%) was attributable to a general factor. Hierarchical and bifactor models included a general factor and five specific/lower-order factors (positive symptoms, eccentricity, avolition, lack of emotion, and deteriorated thought process). CHR participants were elevated on the general factor and the positive symptoms factor. The general factor was associated with depressive symptoms; functional impairment; and mood, anxiety, and schizotypal personality diagnoses. The general factor was the best predictor of psychotic disorders (d ≥ 0.50). Positive symptoms and eccentricity had specific effects on conversion outcomes. The deteriorated thought process was least meaningful/replicable. CONCLUSIONS Attenuated psychotic symptoms, measured by the SIPS, have a complex hierarchical structure with a strong general factor. The general factor relates to internalizing symptoms and functional impairment, emphasizing the roles of general psychopathological distress/impairment in psychosis risk. Shared symptom variance complicates the interpretation of raw symptom scores. Broad transdiagnostic assessment is warranted to model psychosis risk accurately.
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Affiliation(s)
- Henry R Cowan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Trevor F Williams
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Departments of Psychiatry and Medical Social Sciences, Northwestern University, Evanston, IL, USA
| | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - Kristin S Cadenhead
- Department of Psychiatry, University of California San Diego, San Diego, USA
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Barbara A Cornblatt
- Department of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Matcheri Keshevan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Diana O Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Daniel H Mathalon
- Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - William Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital, Boston, MA, USA
| | - Scott W Woods
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Elaine F Walker
- Department of Psychology, Emory University, Atlanta, GA, USA
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12
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Khan Y, Davis CN, Jinwala Z, Feuer KL, Toikumo S, Hartwell EE, Sanchez-Roige S, Peterson RE, Hatoum AS, Kranzler HR, Kember RL. Combining Transdiagnostic and Disorder-Level GWAS Enhances Precision of Psychiatric Genetic Risk Profiles in a Multi-Ancestry Sample. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.09.24307111. [PMID: 38766259 PMCID: PMC11100926 DOI: 10.1101/2024.05.09.24307111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
The etiology of substance use disorders (SUDs) and psychiatric disorders reflects a combination of both transdiagnostic (i.e., common) and disorder-level (i.e., independent) genetic risk factors. We applied genomic structural equation modeling to examine these genetic factors across SUDs, psychotic, mood, and anxiety disorders using genome-wide association studies (GWAS) of European- (EUR) and African-ancestry (AFR) individuals. In EUR individuals, transdiagnostic genetic factors represented SUDs (143 lead single nucleotide polymorphisms [SNPs]), psychotic (162 lead SNPs), and mood/anxiety disorders (112 lead SNPs). We identified two novel SNPs for mood/anxiety disorders that have probable regulatory roles on FOXP1, NECTIN3, and BTLA genes. In AFR individuals, genetic factors represented SUDs (1 lead SNP) and psychiatric disorders (no significant SNPs). The SUD factor lead SNP, although previously significant in EUR- and cross-ancestry GWAS, is a novel finding in AFR individuals. Shared genetic variance accounted for overlap between SUDs and their psychiatric comorbidities, with second-order GWAS identifying up to 12 SNPs not significantly associated with either first-order factor in EUR individuals. Finally, common and independent genetic effects showed different associations with psychiatric, sociodemographic, and medical phenotypes. For example, the independent components of schizophrenia and bipolar disorder had distinct associations with affective and risk-taking behaviors, and phenome-wide association studies identified medical conditions associated with tobacco use disorder independent of the broader SUDs factor. Thus, combining transdiagnostic and disorder-level genetic approaches can improve our understanding of co-occurring conditions and increase the specificity of genetic discovery, which is critical for psychiatric disorders that demonstrate considerable symptom and etiological overlap.
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Affiliation(s)
- Yousef Khan
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Christal N. Davis
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Zeal Jinwala
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Kyra L. Feuer
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
| | - Sylvanus Toikumo
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Emily E. Hartwell
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Sandra Sanchez-Roige
- Department of Psychiatry, University of California San Diego, La Jolla, CA 92093, United States
- Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN 37235, United States
- Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Roseann E. Peterson
- Institute for Department of Psychiatry and Behavioral Sciences, Institute for Genomics in Health, SUNY Downstate Health Sciences University, Brooklyn, NY 11203, United States
| | - Alexander S. Hatoum
- Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, United States
| | - Henry R. Kranzler
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
| | - Rachel L. Kember
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA 19104
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA 19104
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13
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Clark HM, Hankin BL, Narayan AJ, Davis EP. Risk and resilience factors for psychopathology during pregnancy: An application of the Hierarchical Taxonomy of Psychopathology (HiTOP). Dev Psychopathol 2024; 36:545-561. [PMID: 36734236 PMCID: PMC10397364 DOI: 10.1017/s0954579422001390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Pregnancy is a time of increased vulnerability to psychopathology, yet limited work has investigated the extent to which variation in psychopathology during pregnancy is shared and unshared across syndromes and symptoms. Understanding the structure of psychopathology during pregnancy, including associations with childhood experiences, may elucidate risk and resilience factors that are transdiagnostic and/or specific to particular psychopathology phenotypes. Participants were 292 pregnant individuals assessed using multiple measures of psychopathology. Confirmatory factor analyses found evidence for a structure of psychopathology consistent with the Hierarchical Taxonomy of Psychopathology (HiTOP). A common transdiagnostic factor accounted for most variation in psychopathology, and both adverse and benevolent childhood experiences (ACEs and BCEs) were associated with this transdiagnostic factor. Furthermore, pregnancy-specific anxiety symptoms most closely reflected the dimension of Fear, which may suggest shared variation with manifestations of fear that are not pregnancy-specific. ACEs and BCEs also linked to specific prenatal psychopathology involving thought problems, detachment, and internalizing, externalizing, antagonistic, and antisocial behavior. These findings extend the dimensional and hierarchical HiTOP model to pregnant individuals and show how maternal childhood risk and resilience factors relate to common and specific forms of psychopathology during pregnancy as a period of enhanced vulnerability.
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Affiliation(s)
- Hannah M Clark
- Department of Psychology, Brandeis University, 415 South St., Waltham, MA, 02453, USA
| | - Benjamin L Hankin
- Department of Psychology, University of Illinois at Urbana-Champaign, 603 East Daniel St., Champaign, IL, 61820, USA
| | - Angela J Narayan
- Department of Psychology, University of Denver, 2155 South Race St., Denver, CO, 80208, USA
| | - Elysia Poggi Davis
- Department of Psychology, University of Denver, 2155 South Race St., Denver, CO, 80208, USA
- Department of Pediatrics, University of California, Irvine, 3028 Hewitt Hall, Irvine, CA, 92697, USA
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14
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Randau M, Reinholt N, Pernet C, Oranje B, Rasmussen BS, Arnfred S. Robust single-trial event-related potentials differentiate between distress and fear disorders. Psychophysiology 2024; 61:e14500. [PMID: 38073133 DOI: 10.1111/psyp.14500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/24/2023] [Accepted: 11/21/2023] [Indexed: 04/17/2024]
Abstract
Recent evidence indicates that measures of brain functioning as indexed by event-related potentials (ERPs) on the electroencephalogram align more closely to transdiagnostic measures of psychopathology than to categorical taxonomies. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a transdiagnostic, dimensional framework aiming to solve issues of comorbidity, symptom heterogeneity, and arbitrary diagnostic boundaries. Based on shared features, the emotional disorders are allocated into subfactors Distress and Fear. Evidence indicates that disorders that are close in the HiTOP hierarchy share etiology, symptom profiles, and treatment outcomes. However, further studies testing the biological underpinnings of the HiTOP are called for. In this study, we assessed differences between Distress and Fear in a range of well-studied ERP components. In total, 50 patients with emotional disorders were divided into two groups (Distress, N = 25; Fear, N = 25) according to HiTOP criteria and compared against 37 healthy comparison (HC) subjects. Addressing issues in traditional ERP preprocessing and analysis methods, we applied robust single-trial analysis as implemented in the EEGLAB toolbox LIMO EEG. Several ERP components were found to differ between the groups. Surprisingly, we found no difference between Fear and HC for any of the ERPs. This suggests that some well-established results from the literature, e.g., increased error-related negativity in OCD, are not a shared neurobiological correlate of the Fear subfactor. Conversely, for Distress, we found reductions compared to Fear and HC in several ERP components across paradigms. Future studies could utilize HiTOP-validated psychopathology measures to more precisely define subfactor groups.
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Affiliation(s)
- Martin Randau
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Nina Reinholt
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Copenhagen University Hospital, Copenhagen, Denmark
| | - Belinda S Rasmussen
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Sidse Arnfred
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
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15
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Kumar S, Davidson CA, Jain R, Saini R. Factor structure and measurement invariance of Schizotypal Personality Questionnaire-Brief Revised (Updated) in India. Early Interv Psychiatry 2024; 18:312-319. [PMID: 37650484 DOI: 10.1111/eip.13463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/23/2023] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
AIM Schizotypal Personality Questionnaire-Brief Revised-Updated (SPQ-BRU) is an easy-to-conduct, theoretically consistent, and psychometrically better measure of schizotypal personality. However, its study is limited to developed countries. Thus, in the present study, we tested the factor structure and measurement invariance of SPQ-BRU in India. METHODS A sample of 734 college students was selected from two sites (n = 614 from Muzaffarnagar in western Uttar Pradesh and n = 120 from Guhana in Haryana). Confirmatory factor analysis was used to test the good fitness of the different models of SPQ-BRU and the measurement invariance across sex and region. RESULTS The first-order nine-factor model was a better-fit model (among a set of first-order and second-order models), whereas the second-order three-factor model was a more parsimonious good-fit model of SPQ-BRU. The nine-factor model was strongly invariant across sex and region. Women had higher social anxiety, ideas of reference, and lower constricted affect than men. Moreover, the Gohana sample was higher on several schizotypal personality facades than the Muzaffarnagar sample. CONCLUSIONS The present study supported the cross-cultural validity of schizotypal personality and partially established a reliable and valid SPQ-BRU-Hindi language version.
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Affiliation(s)
- Sanjay Kumar
- Department of Psychology, D.A.V. College, Muzaffarnagar, India
| | - Charlie A Davidson
- Department of Psychology, Emory University, Atlanta, Georgia, USA
- Clinical Development Lead, Akin Mental Health, San Francisco, California, USA
| | - Ranjeeta Jain
- Department of Psychology, D.A.V. College, Muzaffarnagar, India
| | - Reena Saini
- Department of Psychology, D.A.V. College, Muzaffarnagar, India
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16
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Leclerc P, Gamache D, Cailhol L. Time to put aside the false dichotomy between personality disorders and psychotic symptoms. J Clin Psychol 2024; 80:1003-1014. [PMID: 38311863 DOI: 10.1002/jclp.23655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/06/2024]
Abstract
Unlike internalizing and externalizing symptoms, psychotic symptoms (e.g., hallucinations, delusions) are manifestations of personality disorders (PDs) that are more controversial and poorly understood. This leaves clinicians with very little guidance for clinical practice, especially for diagnosis. What is more, most reviews have focused strictly on the links between psychotic symptoms and the categorically defined borderline PD, which contrasts with the growing movement that emphasizes a dimensional perspective (especially in psychology). Thus, the objectives of this critical review will be to (a) expose typical cases where PDs and psychotic symptoms might cooccur; (b) assess the state of scientific knowledge surrounding PD and psychotic symptoms; and (c) provide clinicians and researchers with recommendations to keep the field moving forward. We conclude that researchers and clinicians should move past the false "PD or psychosis" dichotomy since they often cooccur, avoid (as far as possible) making psychotic symptoms an exclusion criterion in PD research to enhance ecological validity, and consider dimensional PD diagnosis as a potential unifying solution to the dilemma posed by this cooccurrence.
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Affiliation(s)
- Philippe Leclerc
- Faculté d'éducation, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Dominick Gamache
- Département de psychologie, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada
- CERVO Brain Research Centre, Québec City, Québec, Canada
| | - Lionel Cailhol
- Département de psychiatrie, Centre intégré universitaire de santé et de services sociaux de l'Est-de-l'Île-de-Montréal, Montréal, Québec, Canada
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17
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Rocca P, Brasso C, Montemagni C, Del Favero E, Bellino S, Bozzatello P, Giordano GM, Caporusso E, Fazio L, Pergola G, Blasi G, Amore M, Calcagno P, Rossi R, Rossi A, Bertolino A, Galderisi S, Maj M. The relationship between the resting state functional connectivity and social cognition in schizophrenia: Results from the Italian Network for Research on Psychoses. Schizophr Res 2024; 267:330-340. [PMID: 38613864 DOI: 10.1016/j.schres.2024.04.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 03/24/2024] [Accepted: 04/04/2024] [Indexed: 04/15/2024]
Abstract
Deficits in social cognition (SC) interfere with recovery in schizophrenia (SZ) and may be related to resting state brain connectivity. This study aimed at assessing the alterations in the relationship between resting state functional connectivity and the social-cognitive abilities of patients with SZ compared to healthy subjects. We divided the brain into 246 regions of interest (ROI) following the Human Healthy Volunteers Brainnetome Atlas. For each participant, we calculated the resting-state functional connectivity (rsFC) in terms of degree centrality (DC), which evaluates the total strength of the most powerful coactivations of every ROI with all other ROIs during rest. The rs-DC of the ROIs was correlated with five measures of SC assessing emotion processing and mentalizing in 45 healthy volunteers (HVs) chosen as a normative sample. Then, controlling for symptoms severity, we verified whether these significant associations were altered, i.e., absent or of opposite sign, in 55 patients with SZ. We found five significant differences between SZ patients and HVs: in the patients' group, the correlations between emotion recognition tasks and rsFC of the right entorhinal cortex (R-EC), left superior parietal lobule (L-SPL), right caudal hippocampus (R-c-Hipp), and the right caudal (R-c) and left rostral (L-r) middle temporal gyri (MTG) were lost. An altered resting state functional connectivity of the L-SPL, R-EC, R-c-Hipp, and bilateral MTG in patients with SZ may be associated with impaired emotion recognition. If confirmed, these results may enhance the development of non-invasive brain stimulation interventions targeting those cerebral regions to reduce SC deficit in SZ.
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Affiliation(s)
- Paola Rocca
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Claudio Brasso
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy.
| | - Cristiana Montemagni
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Elisa Del Favero
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Silvio Bellino
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Paola Bozzatello
- Department of Neuroscience 'Rita Levi Montalcini', University of Turin, Via Cherasco, 15, 10126 Turin, Italy
| | - Giulia Maria Giordano
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Edoardo Caporusso
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy; Department of Medicine and Surgery, LUM University, Strada Statale 100, 70010 Casamassima (BA), Italy
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Mario Amore
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Largo Paolo Daneo, 3, 16132 Genoa, Italy
| | - Pietro Calcagno
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, Largo Paolo Daneo, 3, 16132 Genoa, Italy
| | - Rodolfo Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, via Vetoio - Coppito, 67100 L'Aquila, Italy; Policlinico Tor Vergata, Viale Oxford, 81, 00133 Rome, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, via Vetoio - Coppito, 67100 L'Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari 'Aldo Moro', Policlinico, Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Largo Madonna Delle Grazie, 1, 80138 Naples, Italy
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18
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Kotov R, Carpenter WT, Cicero DC, Correll CU, Martin EA, Young JW, Zald DH, Jonas KG. Psychosis superspectrum II: neurobiology, treatment, and implications. Mol Psychiatry 2024; 29:1293-1309. [PMID: 38351173 DOI: 10.1038/s41380-024-02410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 02/16/2024]
Abstract
Alternatives to traditional categorical diagnoses have been proposed to improve the validity and utility of psychiatric nosology. This paper continues the companion review of an alternative model, the psychosis superspectrum of the Hierarchical Taxonomy of Psychopathology (HiTOP). The superspectrum model aims to describe psychosis-related psychopathology according to data on distributions and associations among signs and symptoms. The superspectrum includes psychoticism and detachment spectra as well as narrow subdimensions within them. Auxiliary domains of cognitive deficit and functional impairment complete the psychopathology profile. The current paper reviews evidence on this model from neurobiology, treatment response, clinical utility, and measure development. Neurobiology research suggests that psychopathology included in the superspectrum shows similar patterns of neural alterations. Treatment response often mirrors the hierarchy of the superspectrum with some treatments being efficacious for psychoticism, others for detachment, and others for a specific subdimension. Compared to traditional diagnostic systems, the quantitative nosology shows an approximately 2-fold increase in reliability, explanatory power, and prognostic accuracy. Clinicians consistently report that the quantitative nosology has more utility than traditional diagnoses, but studies of patients with frank psychosis are currently lacking. Validated measures are available to implement the superspectrum model in practice. The dimensional conceptualization of psychosis-related psychopathology has implications for research, clinical practice, and public health programs. For example, it encourages use of the cohort study design (rather than case-control), transdiagnostic treatment strategies, and selective prevention based on subclinical symptoms. These approaches are already used in the field, and the superspectrum provides further impetus and guidance for their implementation. Existing knowledge on this model is substantial, but significant gaps remain. We identify outstanding questions and propose testable hypotheses to guide further research. Overall, we predict that the more informative, reliable, and valid characterization of psychopathology offered by the superspectrum model will facilitate progress in research and clinical care.
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Affiliation(s)
- Roman Kotov
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
| | | | - David C Cicero
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Christoph U Correll
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
- Department of Psychiatry and Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Child and Adolescent Psychiatry, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Elizabeth A Martin
- Department of Psychological Science, University of California, Irvine, Irvine, CA, USA
| | - Jared W Young
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Research Service, VA San Diego Healthcare System, San Diego, CA, USA
| | - David H Zald
- Rutgers University, The State University of New Jersey, New Brunswick, NJ, USA
| | - Katherine G Jonas
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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19
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Hemmati A, Rezaei F, Rahmani K, Komasi S, Miettunen J, Amianto F, Clark LA. Meta-Analytic Review of Temperamental Correlates of the Five-Factor Model and Hierarchical Taxonomy of Psychopathology Domains. Indian J Psychol Med 2024; 46:208-220. [PMID: 38699774 PMCID: PMC11062301 DOI: 10.1177/02537176231210396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/05/2024] Open
Abstract
Background There is little and heterogeneous knowledge on the links between the temperamental predispositions of psychopathology and the contemporary dimensional models of psychopathology, such as the Hierarchical Taxonomy of Psychopathology (HiTOP) classification system, which can be aligned with the five-factor model (FFM) of personality. This meta-analysis seeks to expand the temperamental theoretical basis of the HiTOP model by incorporating associations of temperament traits of two temperamental theories measured, respectively, by the Temperament and Character Inventory (TCI) and the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A) with (a) the FFM's personality domains and (b) HiTOP's five psychopathological spectra. Methods A systematic search was done on Web of Science, Scopus, PubMed, ProQuest, Cochrane Database, and Google Scholar for all articles published in English from January 1990 to August 2020. Because of heterogeneity in the results of almost 70% of studies, pooled estimates of correlation coefficients were calculated using the random-effects method. Risk of bias (low-quality studies) and publication bias are reported. Results The pooled correlations obtained from the analysis of 35 studies showed that the temperamental profile associated with each FFM domain and HiTOP spectra is distinct. Specifically, TCI-harm avoidance (HA) and all TEMPS temperaments were more strongly related to neuroticism/internalizing, extraversion/low detachment, and conscientiousness/disinhibition. In contrast, TCI-novelty seeking was more strongly related to both disinhibited/antagonistic externalizing and thought disorder. Conclusions A large body of research supports maladaptive variants of all FFM domains and some psychopathological spectra of HiTOP related to the abnormal-range temperaments.
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Affiliation(s)
- Azad Hemmati
- Dept. of Psychology, University of Kurdistan, Sanandaj, Iran
| | - Farzin Rezaei
- Dept. of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Khaled Rahmani
- Liver and Digestive Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Saeid Komasi
- Neurosciences Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Jouko Miettunen
- Center for Life Course Health Research, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Federico Amianto
- Dept. of Neurosciences, Psychiatry Section, Regional Pilot Centre for Eating Disorders, University of Torino, Torino, Italy
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Williams TF, Williams AL, Cowan HR, Walker EF, Cannon TD, Bearden CE, Keshavan M, Cornblatt BA, Addington J, Woods SW, Perkins DO, Mathalon DH, Cadenhead KS, Stone WS, Mittal VA. The hierarchical taxonomy of psychopathology in clinical high risk for psychosis: Validation and extension. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2024; 133:235-244. [PMID: 38546628 PMCID: PMC11273326 DOI: 10.1037/abn0000893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium's transdiagnostic dimensional model of psychopathology has considerable support; however, this model has been underresearched in individuals at clinical high risk for psychosis (CHR-P), a population that may advance the model. CHR-P individuals not only have attenuated psychotic symptoms that vary in severity, but also have many comorbid diagnoses and varied clinical outcomes, including disorders with uncertain relations to HiTOP (e.g., obsessive-compulsive disorder). The present study used self-report and interview data from North American Prodrome Longitudinal Study-3 (710 CHR, 96 controls) to replicate the HiTOP model and test specific hypotheses regarding disorders with uncertain relations to its dimensions. Additionally, the present study examined the HiTOP model in relation to childhood trauma, declines in social functioning, and development of full psychosis. Confirmatory factor analysis indicated that the HiTOP model's fit was nearly adequate (e.g., comparative fit index = .89), though several theory-relevant modifications were indicated. Additionally, specific tests were conducted to gain a more fine-grained perspective on how disorders with less clear prior evidence were related to the HiTOP model. Notable findings from these analyses include bipolar spectrum disorders relating to the psychosis super spectrum (i.e., .39 loading), and obsessive-compulsive disorder showing a complex pattern of loadings (e.g., internalizing and psychosis). The final model parsimoniously accounted for childhood trauma (e.g., super spectra rs = .22-.32), associations with current functioning, and predicted future conversion to a psychotic disorder (e.g., super spectra R² = .13). Overall, these results inform the HiTOP model and suggest its promise for CHR-P research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
| | | | - Henry R. Cowan
- Psychiatry and Behavioral Health, The Ohio State University
| | | | | | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles
| | - Matcheri Keshavan
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital
| | | | - Jean Addington
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary
| | | | - Diana O. Perkins
- Department of Psychiatry, University of North Carolina, Chapel Hill
| | - Daniel H. Mathalon
- Department of Psychiatry, University of California San Francisco, and San Francisco Veteran Affairs Medical Center, San Francisco
| | | | - William S. Stone
- Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center and Massachusetts General Hospital
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21
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Jonas KG, Cannon TD, Docherty AR, Dwyer D, Gur RC, Gur RE, Nelson B, Reininghaus U, Kotov R. Psychosis superspectrum I: Nosology, etiology, and lifespan development. Mol Psychiatry 2024; 29:1005-1019. [PMID: 38200290 PMCID: PMC11385553 DOI: 10.1038/s41380-023-02388-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 12/05/2023] [Accepted: 12/15/2023] [Indexed: 01/12/2024]
Abstract
This review describes the Hierarchical Taxonomy of Psychopathology (HiTOP) model of psychosis-related psychopathology, the psychosis superspectrum. The HiTOP psychosis superspectrum was developed to address shortcomings of traditional diagnoses for psychotic disorders and related conditions including low reliability, arbitrary boundaries between psychopathology and normality, high symptom co-occurrence, and heterogeneity within diagnostic categories. The psychosis superspectrum is a transdiagnostic dimensional model comprising two spectra-psychoticism and detachment-which are in turn broken down into fourteen narrow components, and two auxiliary domains-cognition and functional impairment. The structure of the spectra and their components are shown to parallel the genetic structure of psychosis and related traits. Psychoticism and detachment have distinct patterns of association with urbanicity, migrant and ethnic minority status, childhood adversity, and cannabis use. The superspectrum also provides a useful model for describing the emergence and course of psychosis, as components of the superspectrum are relatively stable over time. Changes in psychoticism predict the onset of psychosis-related psychopathology, whereas changes in detachment and cognition define later course. Implications of the superspectrum for genetic, socio-environmental, and longitudinal research are discussed. A companion review focuses on neurobiology, treatment response, and clinical utility of the superspectrum, and future research directions.
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Affiliation(s)
- Katherine G Jonas
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Ruben C Gur
- Brain Behavior Laboratory, Department of Psychiatry and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Raquel E Gur
- Brain Behavior Laboratory, Department of Psychiatry and the Penn-CHOP Lifespan Brain Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Barnaby Nelson
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Ulrich Reininghaus
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
- ESRC Centre for Society and Mental Health and Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Roman Kotov
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA
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22
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Pearlstein JG, Johnson SL, Timpano KR, Stamatis CA, Robison M, Carver CS. Emotion-related impulsivity across transdiagnostic dimensions of psychopathology. J Pers 2024; 92:342-360. [PMID: 36807053 DOI: 10.1111/jopy.12825] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 01/16/2023] [Accepted: 02/15/2023] [Indexed: 02/22/2023]
Abstract
OBJECTIVE Several dimensions have received attention for their potential role in explaining shared variance in transdiagnostic symptoms of psychopathology. We hypothesized emotion-related impulsivity, the trait-like tendency toward difficulty restraining responses to emotion, would relate to symptoms of psychopathology, with two separable dimensions of emotion-related impulsivity relating distinctly to internalizing and externalizing symptoms. METHOD Across two studies, we tested hypotheses using structural equation models of emotion-related impulsivity and multiple indicators of internalizing, externalizing, and thought symptoms. RESULTS In Study 1 (658 undergraduates), emotion-related impulsivity was highly correlated with the general psychopathology (p) factor. In study 2 (421 Mechanical Turk participants), models did not support a general p factor; however, we replicated the hypothesized associations of emotion-related impulsivity dimensions with internalizing and externalizing factors. Across both studies, forms of emotion-related impulsivity uniquely and differentially related to internalizing and externalizing symptoms. CONCLUSIONS Findings indicate emotion-related impulsivity may help explain transdiagnostic dimensions of psychopathology, such as the p factor.
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Affiliation(s)
- Jennifer G Pearlstein
- Department of Psychology, University of California, Berkeley, Berkeley, California, USA
- Department of Rehabilitation Medicine, University of Washington Medical Center, Seattle, Washington, USA
| | - Sheri L Johnson
- Department of Psychology, University of California, Berkeley, Berkeley, California, USA
| | | | - Caitlin A Stamatis
- Department of Psychology, University of Miami, Miami, USA
- Center for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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23
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Blay M, Duarte M, Dessouli MA, Durpoix A, Rüfenacht E, Weibel S, Speranza M, Perroud N. Proposition of a transdiagnostic processual approach of emotion dysregulation based on core triggers and interpersonal styles. Front Psychiatry 2024; 15:1260138. [PMID: 38384590 PMCID: PMC10879599 DOI: 10.3389/fpsyt.2024.1260138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
Emotion dysregulation (ED) has primarily been described in patients suffering from borderline personality disorder (BPD) and is an integral part of this diagnosis, but it is also a transdiagnostic construct that can be found in several other psychiatric disorders. The strong relationships between ED and BPD may lead clinicians to underestimate ED associated to other clinical contexts. This can lead to difficulties in diagnostic and treatment orientation, especially in the context of comorbidities. In this article, after reviewing the literature on the development and functioning of emotion dysregulation, and on the evidence for emotion dysregulation in eight disorders (borderline personality disorder, pathological narcissism with/without narcissistic personality disorder, obsessive-compulsive personality disorder, antisocial personality disorder, bipolar disorder, autism spectrum disorder, complex post-traumatic stress disorder, and adult attention deficit hyperactivity disorder), we present a transdiagnostic processual model of emotion dysregulation based on core triggers and interpersonal styles to try to address this issue and to provide a simple but technical tool to help clinicians in their diagnostic assessment and treatment orientation. By focusing more on typical patterns and interpersonal dynamics than only on categories, we believe that this model may contribute to the actual need for improvement of our current psychiatric classifications, alongside other well-studied and under-used dimensional models of psychopathology (e.g., HiTOP, AMPD), and may be useful to build more specific treatment frameworks for patients suffering from ED.
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Affiliation(s)
- Martin Blay
- ADDIPSY, Addictology and Psychiatry Outpatient Center, Santé Basque Développement Group, Lyon, France
- Centre de recherche en Epidemiologie et Sante des Populations Team ‘DevPsy’, INSERM, Universite Paris-Saclay, UVSQ, Villejuif, France
| | - Miguel Duarte
- Psychiatric Specialties Unit, University Hospitals of Geneva, Geneva, Switzerland
| | - Marie-Alix Dessouli
- Department of Emergency Psychiatry, University Hospital Edouard Herriot, Hospices Civils de Lyon, Lyon, France
| | - Amaury Durpoix
- Department of Psychiatry, University Hospitals of Strasbourg, Strasbourg, France
| | - Eva Rüfenacht
- Psychiatric Specialties Unit, University Hospitals of Geneva, Geneva, Switzerland
| | - Sébastien Weibel
- Department of Psychiatry, University Hospitals of Strasbourg, Strasbourg, France
- U1114, INSERM, Strasbourg, France
| | - Mario Speranza
- Centre de recherche en Epidemiologie et Sante des Populations Team ‘DevPsy’, INSERM, Universite Paris-Saclay, UVSQ, Villejuif, France
- University Department of Child and Adolescent Psychiatry, Versailles Hospital Center, Le Chesnay-Rocquencourt, France
| | - Nader Perroud
- Psychiatric Specialties Unit, University Hospitals of Geneva, Geneva, Switzerland
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24
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Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
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25
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Savard C, Deschênes M, Gagné-Pomerleau É, Payant M, Mayrand K, Nolin MC, Marcoux LA, Gamache D. Contribution of the alternative model for DSM-5 personality disorders to relationship satisfaction. Front Psychiatry 2024; 14:1291226. [PMID: 38283893 PMCID: PMC10811608 DOI: 10.3389/fpsyt.2023.1291226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/05/2023] [Indexed: 01/30/2024] Open
Abstract
Introduction Personality is a central factor associated with relationship discord, conflicts, and separation, as well as with dyadic adjustment and relationship stability. The Alternative Model for Personality Disorders (AMPD) of the DSM-5 offers a hybrid model for understanding personality based on personality dysfunction (Criterion A) and pathological domains and facets (Criterion B). So far, few studies have integrated this model into the understanding of relationship quality. Therefore, the aim of this study was to examine the contribution of Criterion B to relationship satisfaction in individuals involved in an intimate relationship. We also explored the joint contribution of Criteria A and B, as well as their interaction effects, to relationship satisfaction. Methods Participants were drawn from two clinical samples: patients with personality disorders (PD; N = 101) and clients consulting in private practice clinics (PPC; N = 350). They completed self-report questionnaires assessing relationship satisfaction and AMPD Criteria A (only for PPC sample) and B. Results Hierarchical regressions showed that, for the PD sample, the Detachment and Negative Affectivity domains, especially the pathological facets of Intimacy Avoidance and Separation Insecurity, explained 22.5% of relationship satisfaction's variance. For PPC clients, Detachment, Negative Affectivity, and Antagonism domains, and especially the pathological facets of Intimacy Avoidance, Anxiousness, and Grandiosity, contribute significantly to relationship satisfaction, explaining 14.8% of its variance. Criterion A elements did not evince incremental value to the regression models in the PPC sample, and no Criteria A and B interaction effects were found. Clinical implications as well as limitations of the study are discussed.
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Affiliation(s)
- Claudia Savard
- Department of Educational Fundamentals and Practices, Université Laval, Québec, QC, Canada
- CERVO Brain Research Centre, Québec, QC, Canada
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montréal, QC, Canada
| | - Mélissa Deschênes
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montréal, QC, Canada
- School of Psychology, Université Laval, Québec, QC, Canada
| | - Élodie Gagné-Pomerleau
- CERVO Brain Research Centre, Québec, QC, Canada
- School of Psychology, Université Laval, Québec, QC, Canada
| | - Maude Payant
- Department of Psychology, Université du Québec à Montréal, Montréal, QC, Canada
| | - Kristel Mayrand
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montréal, QC, Canada
- Department of Humanities, Saint-Anne University, Pointe-de-l'Église, NS, Canada
| | - Marie-Chloé Nolin
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montréal, QC, Canada
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | | | - Dominick Gamache
- CERVO Brain Research Centre, Québec, QC, Canada
- Interdisciplinary Research Center on Intimate Relationship Problems and Sexual Abuse, Montréal, QC, Canada
- Department of Psychology, Université du Québec à Trois-Rivières, Trois-Rivières, QC, Canada
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26
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Martin JC, Clark SR, Hartmann S, Schubert KO. A Tale of Three Spectra: Basic Symptoms in Clinical-High-Risk of Psychosis Vary Across Autism Spectrum Disorder, Schizotypal Personality Disorder, and Borderline Personality Disorder. SCHIZOPHRENIA BULLETIN OPEN 2024; 5:sgae017. [PMID: 39183768 PMCID: PMC11341945 DOI: 10.1093/schizbullopen/sgae017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Background and Hypothesis The clinical-high-risk (CHR) approach was developed to prevent psychosis through the detection of psychosis risk. CHR services are transdiagnostic in nature, therefore the appropriate management of comorbidity is a central part of care. Differential diagnosis is particularly challenging across 3 common comorbidities, schizotypal personality disorder (SPD), autism spectrum disorder (ASD), and borderline personality disorder (BPD). Phenomenological research indicates a disturbance of "basic self" may differentiate between these commonly comorbid disorders and can be captured by Huber's basic symptoms (BS) concept. We investigated whether BS vary across these disorders and may inform differential diagnosis in young person's meeting CHR criteria. Study Design A total of 685 participants meeting CHR criteria from the NAPLS-3 cohort completed the COGDIS items of the schizophrenia proneness instrument, a measure of BS, as well as the structured interview for DSM-5 (SCID-5). A logistic regression model was used to investigate the variation of COGDIS across SPD, ASD, and BPD, while controlling for age and SIPs positive severity. Study Results Meeting COGDIS criteria was positively associated with SPD (OR = 1.72, CI = [1.31-2.28], P = .001) but not ASD nor BPD. Conclusions Our results indicate that "basic self-disturbance" as indicated by COGDIS differs across SPD, ASD, and BPD. COGDIS may be useful to inform the management of comorbidities in CHR services, by providing insight into subtle subjective experiences that may benefit from disorder-specific interventions.
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Affiliation(s)
- James C Martin
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
- Discipline of Psychiatry, Basil Hetzel Institute, Woodville, South Australia, Australia
| | - Simon Hartmann
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
| | - K Oliver Schubert
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, North Terrace, Adelaide, South Australia, Australia
- Division of Mental Health, Northern Adelaide Local Health Network, SA Health, South Australia
- Headspace Early Psychosis, Sonder, South Australia
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27
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Cowan HR, Williams TF, Schiffman J, Ellman LM, Mittal VA. Mapping Psychosis Risk States onto the Hierarchical Taxonomy of Psychopathology Using Hierarchical Symptom Dimensions. Clin Psychol Sci 2024; 12:3-21. [PMID: 38572185 PMCID: PMC10989734 DOI: 10.1177/21677026221146178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
Clinical high risk for psychosis (CHR) is a transdiagnostic risk state. However, it is unclear how risk states such as CHR fit within broad transdiagnostic models such as the Hierarchical Taxonomy of Psychopathology (HiTOP). In this study, a hierarchical dimensional symptom structure was defined by unfolding factor analysis of self-report data from 3,460 young adults (mage=20.3). A subsample (n=436) completed clinical interviews, 85 of whom met CHR criteria. Regression models examined relationships between symptom dimensions, CHR status, and clinician-rated symptoms. CHR status was best explained by a reality distortion dimension, with contributions from internalizing dimensions. Positive and negative attenuated psychotic symptoms were best explained by multiple psychotic and nonpsychotic symptom dimensions including reality distortion, distress, fear, detachment, and mania. Attenuated psychotic symptoms are a complex presenting problem warranting comprehensive assessment. HiTOP can provide both diagnostic precision and broad transdiagnostic coverage, making it a valuable resource for use with at-risk individuals.
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Affiliation(s)
- Henry R. Cowan
- Psychology, Northwestern University, Evanston, IL
- Psychiatry, The Ohio State University, Columbus, OH
| | | | | | - Lauren M. Ellman
- Psychology and Neuroscience, Temple University, Philadelphia, PA
| | - Vijay A. Mittal
- Psychology, Northwestern University, Evanston, IL
- Psychiatry and Institute for Policy Research, Northwestern University, Evanston, IL
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28
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Clauss-Kobayashi JME, Bonah C, Danion-Grilliat A, Scarfone M, Foucher JR, Berna F. Reshaping the diagnostic borders: Historical analysis of the diagnostic changes following the introduction of the schizophrenia concept. Schizophr Res 2023; 262:21-29. [PMID: 37918290 DOI: 10.1016/j.schres.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/21/2023] [Accepted: 10/22/2023] [Indexed: 11/04/2023]
Abstract
BACKGROUND Although the concept of schizophrenia is still widely presented as having replaced that of dementia praecox, studies have shown that the former was broader than the latter, resulting in a more complex diagnostic redistribution. However, this is poorly documented by quantitative approaches. AIMS We sought to test the hypothesis that the use of the concept of schizophrenia had caused a diagnostic redistribution and to quantify it. METHOD A retrospective study, based on admission register archives of the Strasbourg University Clinic of Psychiatry was conducted. The frequency of diagnoses given to patients were examined at two key time periods: one before (TP1) and one after (TP2) the introduction of the schizophrenia concept (established between 1926 and 1928). Eight main diagnoses related to schizophrenia were considered. RESULTS Patients diagnosed with schizophrenia at TP2 mainly received the diagnoses of dementia praecox but also depression, hebephrenia, manic depressive illness, hysteria, paraphrenia, catatonia and mania at TP1. Dementia praecox and hebephrenia were the most relayed by schizophrenia. Bayesian sensitivity analyses confirmed the robustness of our data against distinct scenarios challenging our hypothesis. CONCLUSIONS Our results confirm the broadening of the concept of schizophrenia compared to that of dementia praecox but also qualify the different concepts supposed to have been impacted. They provide unique quantitative data that define the contours of the diagnostic redistribution thus provoked. They also give relevant input in the current context where the need to rethink the DSM/ICD concept of schizophrenia is still debated.
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Affiliation(s)
- Julie M E Clauss-Kobayashi
- University of Strasbourg, SAGE - CNRS UMR 7363, FMTS, France; University Hospital Strasbourg, Psychiatry Department, France.
| | - Christian Bonah
- University of Strasbourg, SAGE - CNRS UMR 7363, FMTS, France
| | | | | | - Jack R Foucher
- University Hospital Strasbourg, Psychiatry Department, France; University Hospital Strasbourg, CEMNIS - Non invasive Neuromodulation Center, France; University of Strasbourg, ICube - CNRS UMR 7357, Neurophysiology, FMTS, France
| | - Fabrice Berna
- University Hospital Strasbourg, Psychiatry Department, France; University of Strasbourg, INSERM 1114, FMTS, France
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Hoy N, Lynch SJ, Waszczuk MA, Reppermund S, Mewton L. Transdiagnostic biomarkers of mental illness across the lifespan: A systematic review examining the genetic and neural correlates of latent transdiagnostic dimensions of psychopathology in the general population. Neurosci Biobehav Rev 2023; 155:105431. [PMID: 37898444 DOI: 10.1016/j.neubiorev.2023.105431] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/26/2023] [Accepted: 10/21/2023] [Indexed: 10/30/2023]
Abstract
This systematic review synthesizes evidence from research investigating the biological correlates of latent transdiagnostic dimensions of psychopathology (e.g., the p-factor, internalizing, externalizing) across the lifespan. Eligibility criteria captured genomic and neuroimaging studies investigating general and/or specific dimensions in general population samples across all age groups. MEDLINE, Embase, and PsycINFO were searched for relevant studies published up to March 2023 and 46 studies were selected for inclusion. The results revealed several biological correlates consistently associated with transdiagnostic dimensions of psychopathology, including polygenic scores for ADHD and neuroticism, global surface area and global gray matter volume. Shared and unique associations between symptom dimensions are highlighted, as are potential age-specific differences in biological associations. Findings are interpreted with reference to key methodological differences across studies. The included studies provide compelling evidence that the general dimension of psychopathology reflects common underlying genetic and neurobiological vulnerabilities that are shared across diverse manifestations of mental illness. Substantive interpretations of general psychopathology in the context of genetic and neurobiological evidence are discussed.
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Affiliation(s)
- Nicholas Hoy
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia; Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia.
| | - Samantha J Lynch
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia; Department of Psychiatry, Université de Montréal, Montreal, Canada; Research Centre, CHU Sainte-Justine, Montreal, Canada
| | - Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, United States
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia; Department of Developmental Disability Neuropsychiatry, University of New South Wales, Sydney, Australia
| | - Louise Mewton
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia
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Waszczuk MA, Jonas KG, Bornovalova M, Breen G, Bulik CM, Docherty AR, Eley TC, Hettema JM, Kotov R, Krueger RF, Lencz T, Li JJ, Vassos E, Waldman ID. Dimensional and transdiagnostic phenotypes in psychiatric genome-wide association studies. Mol Psychiatry 2023; 28:4943-4953. [PMID: 37402851 PMCID: PMC10764644 DOI: 10.1038/s41380-023-02142-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 05/17/2023] [Accepted: 06/16/2023] [Indexed: 07/06/2023]
Abstract
Genome-wide association studies (GWAS) provide biological insights into disease onset and progression and have potential to produce clinically useful biomarkers. A growing body of GWAS focuses on quantitative and transdiagnostic phenotypic targets, such as symptom severity or biological markers, to enhance gene discovery and the translational utility of genetic findings. The current review discusses such phenotypic approaches in GWAS across major psychiatric disorders. We identify themes and recommendations that emerge from the literature to date, including issues of sample size, reliability, convergent validity, sources of phenotypic information, phenotypes based on biological and behavioral markers such as neuroimaging and chronotype, and longitudinal phenotypes. We also discuss insights from multi-trait methods such as genomic structural equation modelling. These provide insight into how hierarchical 'splitting' and 'lumping' approaches can be applied to both diagnostic and dimensional phenotypes to model clinical heterogeneity and comorbidity. Overall, dimensional and transdiagnostic phenotypes have enhanced gene discovery in many psychiatric conditions and promises to yield fruitful GWAS targets in the years to come.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
| | - Katherine G Jonas
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | | | - Gerome Breen
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Cynthia M Bulik
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Anna R Docherty
- Huntsman Mental Health Institute, Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, UT, USA
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Thalia C Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - John M Hettema
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
- Department of Psychiatry, Texas A&M Health Sciences Center, Bryan, TX, USA
| | - Roman Kotov
- Department of Psychiatry, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | - Robert F Krueger
- Psychology Department, University of Minnesota, Minneapolis, MN, USA
| | - Todd Lencz
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
- Institute for Behavioral Science, The Feinstein Institutes for Medical Research, Manhasset, NY, USA
| | - James J Li
- Department of Psychology, University of Wisconsin, Madison, WI, USA
- Waisman Center, University of Wisconsin, Madison, WI, USA
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- UK National Institute for Health and Care Research (NIHR) Biomedical Research Centre, South London and Maudsley NHS Trust, London, UK
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, GA, USA
- Center for Computational and Quantitative Genetics, Emory University, Atlanta, GA, USA
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Cheli S, Cavalletti V, Hopwood CJ. Threatening Beliefs About Self and Others Moderate the Association Between Psychoticism and Psychological Distress. J Nerv Ment Dis 2023; 211:819-827. [PMID: 37738457 DOI: 10.1097/nmd.0000000000001726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
ABSTRACT Psychoticism is a multidimensional personality construct involving odd or eccentric behavior, quasi-psychotic experiences, mistrust, interpersonal detachment, and liability for schizophrenia-spectrum disorders, as well as significant distress. Recent advances suggest it can be understood as a dimension that is continuously distributed in the population, leading to questions about factors that contribute to distress and dysfunction among people with a schizotypal liability. We investigated in a large nonclinical sample of young adults whether associations between psychoticism and psychological distress would increase in the presence of threatening beliefs. In our study ( N = 2127), we found that the association between psychoticism and psychological distress is moderated by threatening beliefs including self-criticism, fear of compassion, and socially prescribed perfectionism. These results suggest that distress increases among people with schizotypal traits in the context of negative beliefs about self and others. We discuss implications for clinical practice and directions for further research.
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Guyon-Harris KL, Plamondon A, Humphreys KL, Wade M, Gleason MM, Tibu F, Nelson CA, Fox NA, Zeanah CH. Structure of Psychopathology in Romanian Preschool-Aged Children in an Epidemiological and a High-Risk Sample. JAACAP OPEN 2023; 1:173-183. [PMID: 38500494 PMCID: PMC10947222 DOI: 10.1016/j.jaacop.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Objective Research on bifactor models of psychopathology in early childhood is limited to community samples with little longitudinal follow-up. We examined general and specific forms of psychopathology within 2 independent samples of preschool-aged Romanian children. Within a sample with children exposed to psychosocial deprivation, we also examined antecedents and longitudinal outcomes of the general factor. Method One sample consisted of 350 Romanian children (mean age = 39.7 months, SD = 10.9) from an epidemiological study; the second sample consisted of 170 Romanian children (mean age = 55.6 months, SD = 1.9) exposed to severe early-life deprivation, as well as community comparison children, with longitudinal follow-up at 8 and 12 years. Psychopathology symptoms were assessed through caregiver-reported structured clinical interviews. Results An SI-1 bifactor model of psychopathology was supported in both samples and included specific factors for externalizing, internalizing, and disturbed relatedness symptoms. In the second sample, longer duration of psychosocial deprivation and lower-quality caregiving were associated with higher scores on the general and all specific factors. Higher scores on the general factor were associated with later cognitive function, competence, and psychopathology symptoms. Considering all factors together, only the general factor explained variance in later childhood outcomes and was slightly stronger compared to a total symptom count for some, but not all, outcomes. Conclusion General psychopathology in early childhood explains meaningful variance in child outcomes across multiple domains of functioning in later childhood. However, important questions remain regarding its clinical utility and usefulness, given complex measurement and limited explanatory power beyond the more accessible approach of a total symptom count. Clinical trial registration information The Bucharest Early Intervention Project; https://clinicaltrials.gov/; NCT00747396.
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Affiliation(s)
- Katherine L Guyon-Harris
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - André Plamondon
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Kathryn L Humphreys
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Mark Wade
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Mary Margaret Gleason
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Florin Tibu
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Charles A Nelson
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Nathan A Fox
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
| | - Charles H Zeanah
- Dr. Guyon-Harris is with the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. Drs. Plamondon and Wade are with the University of Toronto, Toronto, Ontario, Canada. Dr. Plamondon is also with Université Laval, Quebec, Canada. Drs. Humphreys, Gleason, and Zeanah are with Tulane University School of Medicine, New Orleans, Louisiana. Dr. Humphreys is also with Vanderbilt University, Nashville, Tennessee. Dr. Gleason is also with Eastern Virginia Medical School, Norfolk, Virginia. Dr. Tibu is with Stefan cel Mare University of Suceava, Suceava, Romania. Dr. Nelson is with Boston Children's Hospital/Harvard Medical School, Boston, Massachusetts, and Harvard Graduate School of Education, Boston, Massachusetts. Dr. Fox is with the University of Maryland, College Park, College Park, Maryland
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Conway CC, Kotov R, Krueger RF, Caspi A. Translating the hierarchical taxonomy of psychopathology (HiTOP) from potential to practice: Ten research questions. AMERICAN PSYCHOLOGIST 2023; 78:873-885. [PMID: 36227328 PMCID: PMC10097839 DOI: 10.1037/amp0001046] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) is a novel diagnostic system grounded in empirical research into the architecture of mental illness. Its basic units are continuous dimensions-as opposed to categories-that are organized into a hierarchy according to patterns of symptom co-occurrence observed in quantitative studies. Previous HiTOP discussions have focused on existing evidence regarding the model's structure and ability to account for neurobiological, social, cultural, and clinical variation. The present article looks ahead to the next decade of applied research and clinical practice using the HiTOP rubric. We highlight 10 topics where HiTOP has the potential to make significant breakthroughs. Research areas include genetic influences, environmental contributions, neural mechanisms, real-time dynamics, and lifespan development of psychopathology. We also discuss development of novel assessments, forecasting methods, and treatments. Finally, we consider implications for clinicians and educators. For each of these domains, we propose directions for future research and venture hypotheses as to what HiTOP will reveal about psychopathology. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | - Roman Kotov
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Robert F. Krueger
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York, USA
| | - Avshalom Caspi
- Department of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina, USA
- Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, USA
- Social, Genetic, and Developmental Psychiatry Research Centre, King’s College London, London, United Kingdom
- PROMENTA Center, University of Oslo, Oslo, Norway
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Tiego J, Thompson K, Arnatkeviciute A, Hawi Z, Finlay A, Sabaroedin K, Johnson B, Bellgrove MA, Fornito A. Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample. Schizophr Bull 2023; 49:1217-1228. [PMID: 36869759 PMCID: PMC10483465 DOI: 10.1093/schbul/sbac016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Schizotypy is a multidimensional construct that captures a continuum of risk for developing schizophrenia-spectrum psychopathology. Existing 3-factor models of schizotypy, consisting of positive, negative, and disorganized dimensions have yielded mixed evidence of genetic continuity with schizophrenia using polygenic risk scores. Here, we propose an approach that involves splitting positive and negative schizotypy into more specific subdimensions that are phenotypically continuous with distinct positive symptoms and negative symptoms recognized in clinical schizophrenia. We used item response theory to derive high-precision estimates of psychometric schizotypy using 251 self-report items obtained from a non-clinical sample of 727 (424 females) adults. These subdimensions were organized hierarchically using structural equation modeling into 3 empirically independent higher-order dimensions enabling associations with polygenic risk for schizophrenia to be examined at different levels of phenotypic generality and specificity. Results revealed that polygenic risk for schizophrenia was associated with variance specific to delusional experiences (γ = 0.093, P = .001) and reduced social interest and engagement (γ = 0.076, P = .020), and these effects were not mediated via the higher-order general, positive, or negative schizotypy factors. We further fractionated general intellectual functioning into fluid and crystallized intelligence in 446 (246 females) participants that underwent onsite cognitive assessment. Polygenic risk scores explained 3.6% of the variance in crystallized intelligence. Our precision phenotyping approach could be used to enhance the etiologic signal in future genetic association studies and improve the detection and prevention of schizophrenia-spectrum psychopathology.
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Affiliation(s)
- Jeggan Tiego
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Kate Thompson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Ziarih Hawi
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Amy Finlay
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Kristina Sabaroedin
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
| | - Beth Johnson
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC 3800, Australia
- School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- Monash Biomedical Imaging, Monash University, 770 Blackburn Rd, Clayton, VIC 3800, Australia
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Petre LM, Gheorghe DA, Watson D, Mitrofan L. Romanian Inventory of Depression and Anxiety Symptoms (IDAS-II). Front Psychol 2023; 14:1159380. [PMID: 37484097 PMCID: PMC10359186 DOI: 10.3389/fpsyg.2023.1159380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 06/05/2023] [Indexed: 07/25/2023] Open
Abstract
Background The Inventory of Depression and Anxiety Symptoms (IDAS-II) is a self-report measure comprising 99 items divided into 18 non-overlapping scales that allows for a dimensional assessment of depression, anxiety, and bipolar symptoms. The IDAS-II is currently available in English, Turkish, Spanish, German, and Swedish. This study's major goal was to adapt and validate the IDAS-II to the Romanian population. Method Participants from a community sample (N = 1,072) completed the IDAS-II (Romanian version) and additional measures assessing depression and anxiety disorders. Results Item-level factor analyses validated the unidimensionality of the scales, and internal consistency results indicated that most symptom scales had satisfactory alpha coefficient values. Based on previous structural analyses, a confirmatory factor analysis (CFA) on the IDAS-II scales confirmed a three-component model of "Distress," "Obsessions/Fear," and "Positive Mood." Convergent and discriminant validity were established by correlational analyses with other symptom measures. Limitations This study was conducted using a sample from the general population and several of the employed measures have limitations. Specifically, the current study was unable to employ Romanian versions of the gold-standard instruments that assess well-being, obsessive-compulsive disorder, and claustrophobia. Conclusion The IDAS-II (Romanian version) is the first clinical measure to assess internalizing dimensions of the Hierarchical Taxonomy of Psychopathology (HiTOP) model that is available for the Romanian population.
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Affiliation(s)
- Ligiana Mihaela Petre
- Department of Applied Psychology and Psychotherapy, Faculty of Psychology and Educational Sciences, University of Bucharest, Bucharest, Romania
| | - Delia Alexandra Gheorghe
- Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, IN, United States
| | - Laurentiu Mitrofan
- Department of Applied Psychology and Psychotherapy, Faculty of Psychology and Educational Sciences, University of Bucharest, Bucharest, Romania
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Palaniyappan L. Clusters of psychosis: compensation as a contributor to the heterogeneity of schizophrenia. J Psychiatry Neurosci 2023; 48:E325-E329. [PMID: 37643803 PMCID: PMC10473036 DOI: 10.1503/jpn.230120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023] Open
Affiliation(s)
- Lena Palaniyappan
- From the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. and the Robarts Research Institute & Lawson Health Research Institute, London, Ont.
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Montes SA, Sanchez RO. The underlying structure of the Personality Inventory for DSM-5 (PID-5): a general factor of personality psychopathology. CURRENT ISSUES IN PERSONALITY PSYCHOLOGY 2023; 12:79-90. [PMID: 38807698 PMCID: PMC11129047 DOI: 10.5114/cipp/163182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/26/2022] [Accepted: 04/12/2023] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND The psychopathology of personality is currently undergoing a paradigm shift from a categorical to a dimensional approach. This work aimed to study the underlying structure of pathological personality traits of the DSM-5 Alternative Model for Personality Disorders (AMPD). For this purpose, the internal structure of a version of the Personality Inventory for the DSM-5 (PID-5) was examined by a confirmatory factor analysis. This version assesses the five higher-order pathological personality domains (negative affectivity, detachment, antagonism, disinhibition, and psychoticism) and the 25 lower-order pathological personality facets through a reduced number of items. Four alternative models were compared: five-factor oblique; second-order (five first-order factors and one second-order factor); bifactor (five specific factors and a general factor), and one-factor. PARTICIPANTS AND PROCEDURE We worked with an Argentinean sample of N = 525 subjects from the general population who answered the Argentine version of the PID-5. RESULTS The five-factor model was slightly superior to the second order model, and the bifactor model presented the best fit. CONCLUSIONS These findings, while preliminary, suggest that the PID-5 facets could reflect five specific pathological personality traits (which correspond to AMPD domains) but also a general factor (which would reflect a general propensity for psychopathology).
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Affiliation(s)
- Silvana A. Montes
- CONICET (National Scientific and Technical Research Council), Buenos Aires, Argentina
- Faculty of Psychology, National University of Mar del Plata, Mar del Plata, Argentina
| | - Roberto O. Sanchez
- Faculty of Psychology, National University of Mar del Plata, Mar del Plata, Argentina
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Douet Vannucci V, Marchand T, Hennequin A, Caci H, Staccini P. The EPIDIA4Kids protocol for a digital epidemiology study on brain functioning in children, based on a multimodality biometry tool running on an unmodified tablet. Front Public Health 2023; 11:1185565. [PMID: 37325324 PMCID: PMC10267880 DOI: 10.3389/fpubh.2023.1185565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/28/2023] [Indexed: 06/17/2023] Open
Abstract
Introduction Neurodevelopment and related mental disorders (NDDs) are one of the most frequent disabilities among young people. They have complex clinical phenotypes often associated with transnosographic dimensions, such as emotion dysregulation and executive dysfunction, that lead to adverse impacts in personal, social, academic, and occupational functioning. Strong overlap exists then across NDDs phenotypes that are challenging for diagnosis and therapeutic intervention. Recently, digital epidemiology uses the rapidly growing data streams from various devices to advance our understanding of health's and disorders' dynamics, both in individuals and the general population, once coupled with computational science. An alternative transdiagnostic approach using digital epidemiology may thus better help understanding brain functioning and hereby NDDs in the general population. Objective The EPIDIA4Kids study aims to propose and evaluate in children, a new transdiagnostic approach for brain functioning examination, combining AI-based multimodality biometry and clinical e-assessments on an unmodified tablet. We will examine this digital epidemiology approach in an ecological context through data-driven methods to characterize cognition, emotion, and behavior, and ultimately the potential of transdiagnostic models of NDDs for children in real-life practice. Methods and analysis The EPIDIA4Kids is an uncontrolled open-label study. 786 participants will be recruited and enrolled if eligible: they are (1) aged 7 to 12 years and (2) are French speaker/reader; (3) have no severe intellectual deficiencies. Legal representative and children will complete online demographic, psychosocial and health assessments. During the same visit, children will perform additionally a paper/pencil neuro-assessments followed by a 30-min gamified assessment on a touch-screen tablet. Multi-stream data including questionnaires, video, audio, digit-tracking, will be collected, and the resulting multimodality biometrics will be generated using machine- and deep-learning algorithms. The trial will start in March 2023 and is expected to end by December 2024. Discussion We hypothesize that the biometrics and digital biomarkers will be capable of detecting early onset symptoms of neurodevelopment compared to paper-based screening while as or more accessible in real-life practice.
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Affiliation(s)
- Vanessa Douet Vannucci
- R&D Lab, O-Kidia, Nice, France
- URE Risk Epidemiology Territory INformatics Education and Health (URE RETINES), Université Côte d’Azur, Nice, France
| | - Théo Marchand
- R&D Lab, O-Kidia, Nice, France
- Bioelectronic Lab, Ecole des Mines de Saint-Étienne, Gardanne, France
| | | | - Hervé Caci
- Hôpitaux Pédiatriques de Nice CHU Lenval, Nice, France
- Centre de Recherche en Épidémiologie and Santé des Populations (CESP), INSERM U1018, Villejuif, France
| | - Pascal Staccini
- URE Risk Epidemiology Territory INformatics Education and Health (URE RETINES), Université Côte d’Azur, Nice, France
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Martin JC, Clark SR, Schubert KO. Towards a Neurophenomenological Understanding of Self-Disorder in Schizophrenia Spectrum Disorders: A Systematic Review and Synthesis of Anatomical, Physiological, and Neurocognitive Findings. Brain Sci 2023; 13:845. [PMID: 37371325 DOI: 10.3390/brainsci13060845] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/18/2023] [Accepted: 05/18/2023] [Indexed: 06/29/2023] Open
Abstract
The concept of anomalous self-experience, also termed Self-Disorder, has attracted both clinical and research interest, as empirical studies suggest such experiences specifically aggregate in and are a core feature of schizophrenia spectrum disorders. A comprehensive neurophenomenological understanding of Self-Disorder may improve diagnostic and therapeutic practice. This systematic review aims to evaluate anatomical, physiological, and neurocognitive correlates of Self-Disorder (SD), considered a core feature of Schizophrenia Spectrum Disorders (SSDs), towards developing a neurophenomenological understanding. A search of the PubMed database retrieved 285 articles, which were evaluated for inclusion using PRISMA guidelines. Non-experimental studies, studies with no validated measure of Self-Disorder, or those with no physiological variable were excluded. In total, 21 articles were included in the review. Findings may be interpreted in the context of triple-network theory and support a core dysfunction of signal integration within two anatomical components of the Salience Network (SN), the anterior insula and dorsal anterior cingulate cortex, which may mediate connectivity across both the Default Mode Network (DMN) and Fronto-Parietal Network (FPN). We propose a theoretical Triple-Network Model of Self-Disorder characterized by increased connectivity between the Salience Network (SN) and the DMN, increased connectivity between the SN and FPN, decreased connectivity between the DMN and FPN, and increased connectivity within both the DMN and FPN. We go on to describe translational opportunities for clinical practice and provide suggestions for future research.
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Affiliation(s)
- James C Martin
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia
| | - Scott R Clark
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia
- Basil Hetzel Institute, Woodville, SA 5011, Australia
| | - K Oliver Schubert
- Discipline of Psychiatry, Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia
- Division of Mental Health, Northern Adelaide Local Health Network, SA Health, Adelaide, SA 5000, Australia
- Headspace Early Psychosis, Sonder, Adelaide, SA 5000, Australia
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Hrivikova K, Marko M, Karailievova L, Romanova Z, Oravcova H, Riecansky I, Jezova D. Neuroendocrine response to a psychosocial stress test is not related to schizotypy but cortisol elevation predicts inflexibility of semantic memory retrieval. Psychoneuroendocrinology 2023; 154:106287. [PMID: 37182519 DOI: 10.1016/j.psyneuen.2023.106287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 03/30/2023] [Accepted: 05/02/2023] [Indexed: 05/16/2023]
Abstract
An altered stress response can contribute to the transition from preclinical psychotic symptoms to the clinical manifestation of schizophrenia and other psychotic disorders. The present study was aimed at testing the hypotheses that (i) the autonomic and neuroendocrine responses under psychosocial stress are dysregulated in individuals with high psychosis proneness (schizotypy); (ii) the magnitude of post-stress autonomic activation and cortisol release predicts alterations in semantic memory retrieval. The study was performed in 73 healthy individuals of both sexes with either high or low schizotypal traits preselected out of 609 individuals using the Schizotypal Personality Questionnaire. A psychosocial stress procedure based on public speech was used as a stress model. We found that individuals with high schizotypy engaged in less adaptive emotional stress-coping strategies than low schizotypy individuals. Yet, the neuroendocrine, immune, and sympathetic activation in response to the stress test was not different between the groups. Irrespective of the exposure to the stressor, individuals with high schizotypy were less fluent when retrieving associations from semantic memory. In addition, we demonstrated that acute psychosocial stress reduced the flexibility of semantic memory retrieval. The post-stress mental inflexibility was reliably predicted by the concomitant elevation of cortisol concentrations in saliva. The present study thus brings novel evidence indicating that the acute psychosocial challenge impairs retrieval flexibility in the semantic domain, which may be due to neuroendocrine activation.
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Affiliation(s)
- K Hrivikova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - M Marko
- Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia; Department of Applied Informatics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Bratislava, Slovakia
| | - L Karailievova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - Z Romanova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia
| | - H Oravcova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia; Department of Pharmacology and toxicology, Faculty of Pharmacy, Comenius University in Bratislava, Bratislava, Slovakia
| | - I Riecansky
- Department of Behavioural Neuroscience, Institute of Normal and Pathological Physiology, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia; Department of Psychiatry, Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia.
| | - D Jezova
- Laboratory of Pharmacological Neuroendocrinology, Institute of Experimental Endocrinology, Biomedical Research Center of the Slovak Academy of Sciences, Bratislava, Slovakia.
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Zhou Y, Pat N, Neale MC. Associations between resting state functional brain connectivity and childhood anhedonia: A reproduction and replication study. PLoS One 2023; 18:e0277158. [PMID: 37141274 PMCID: PMC10159190 DOI: 10.1371/journal.pone.0277158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 02/28/2023] [Indexed: 05/05/2023] Open
Abstract
BACKGROUND Previously, a study using a sample of the Adolescent Brain Cognitive Development (ABCD)® study from the earlier 1.0 release found differences in several resting state functional MRI (rsfMRI) brain connectivity measures associated with children reporting anhedonia. Here, we aim to reproduce, replicate, and extend the previous findings using data from the later ABCD study 4.0 release, which includes a significantly larger sample. METHODS To reproduce and replicate the previous authors' findings, we analyzed data from the ABCD 1.0 release (n = 2437), from an independent subsample from the newer ABCD 4.0 release (excluding individuals from the 1.0 release) (n = 6456), and from the full ABCD 4.0 release sample (n = 8866). Additionally, we assessed whether using a multiple linear regression approach could improve replicability by controlling for the effects of comorbid psychiatric conditions and sociodemographic covariates. RESULTS While the previously reported associations were reproducible, effect sizes for most rsfMRI measures were drastically reduced in replication analyses (including for both t-tests and multiple linear regressions) using the ABCD 4.0 (excluding 1.0) sample. However, 2 new rsfMRI measures (the Auditory vs. Right Putamen and the Retrosplenial-Temporal vs. Right-Thalamus-Proper measures) exhibited replicable associations with anhedonia and stable, albeit small, effect sizes across the ABCD samples, even after accounting for sociodemographic covariates and comorbid psychiatric conditions using a multiple linear regression approach. CONCLUSION The most statistically significant associations between anhedonia and rsfMRI connectivity measures found in the ABCD 1.0 sample tended to be non-replicable and inflated. Contrastingly, replicable associations exhibited smaller effects with less statistical significance in the ABCD 1.0 sample. Multiple linear regressions helped assess the specificity of these findings and control the effects of confounding covariates.
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Affiliation(s)
- Yi Zhou
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States of America
| | - Narun Pat
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Michael C. Neale
- Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, United States of America
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Southward MW, Cheavens JS, Coccaro EF. Defining the p-factor: an empirical test of five leading theories. Psychol Med 2023; 53:2732-2743. [PMID: 35711145 PMCID: PMC10235655 DOI: 10.1017/s0033291722001635] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 04/25/2022] [Accepted: 05/13/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Despite statistical evidence of a general factor of psychopathology (i.e., p-factor), there is little agreement about what the p-factor represents. Researchers have proposed five theories: dispositional negative emotionality (neuroticism), impulsive responsivity to emotions (impulsivity), thought dysfunction, low cognitive functioning, and impairment. These theories have primarily been inferred from patterns of loadings of diagnoses on p-factors with different sets of diagnoses included in different studies. Researchers who have directly examined these theories of p have examined a subset of the theories in any single sample, limiting the ability to compare the size of their associations with a p-factor. METHODS In a sample of adults (N = 1833, Mage = 34.20, 54.4% female, 53.3% white) who completed diagnostic assessments, self-report measures, and cognitive tests, we evaluated statistical p-factor structures across modeling approaches and compared the strength of associations among the p-factor and indicators of each of these five theories. RESULTS We found consistent evidence of the p-factor's unidimensionality across one-factor and bifactor models. The p-factor was most strongly and similarly associated with neuroticism (r = .88), impairment (r = .88), and impulsivity (r = .87), χ2(1)s < .15, ps > .70, and less strongly associated with thought dysfunction (r = .78), χ2(1)s > 3.92, ps < .05, and cognitive functioning (r = -.25), χ2(1)s > 189.56, ps < .01. CONCLUSIONS We discuss a tripartite definition of p that involves the transaction of impulsive responses to frequent negative emotions leading to impairment that extends and synthesizes previous theories of psychopathology.
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Affiliation(s)
| | | | - Emil F. Coccaro
- Department of Psychiatry and Behavioral Health, The Ohio State University Wexner Medical Center, Columbus, OH, USA
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Lau C, Bagby RM, Pollock BG, Quilty L. Five-Factor Model and DSM-5 Alternative Model of Personality Disorder Profile Construction: Associations with Cognitive Ability and Clinical Symptoms. J Intell 2023; 11:jintelligence11040071. [PMID: 37103256 PMCID: PMC10144161 DOI: 10.3390/jintelligence11040071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 04/28/2023] Open
Abstract
Although numerous studies have explored latent profiles using the Five-Factor Model (FFM) of normative personality, no studies have investigated how broad personality traits (i.e., FFM) and pathological personality traits using the alternative model of personality disorder (AMPD) may combine for latent personality profiles. The present study recruited outpatients (N = 201) who completed the Big Five Aspects Scales (BFAS), Personality Inventory for DSM-5 (PID-5), Structured Clinical Interview for DSM-IV (SCID-I/P), gambling and alcohol use measures, and the Weschler Intelligence subtests. When FFM and AMPD measures were combined, latent profile analyses revealed four profiles, Internalizing-Thought disorder, Externalizing, Average-Detached, and Adaptive. Detachment and openness to experience were the most and least essential traits for profile distinction, respectively. No associations between group membership and cognitive ability measures were found. Internalizing-Thought disorder membership was linked with a current mood and anxiety disorder diagnosis. Externalizing profile membership was associated with younger age, problematic gambling, alcohol use, and a current substance use disorder diagnosis. The four FFM-AMPD profiles overlapped with the four FFM-only and three AMPD-only profiles. Overall, the FFM-AMPD profiles appeared to have better convergent and discriminant validity with DSM-relevant psychopathology.
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Affiliation(s)
- Chloe Lau
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
- Department of Psychiatry, Schulich Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada
| | - R Michael Bagby
- Department of Psychology and Psychiatry, University of Toronto, Toronto, ON M5G 1X6, Canada
| | - Bruce G Pollock
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
| | - Lena Quilty
- Centre for Addiction and Mental Health, Toronto, ON M6J 1H4, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5G 1X6, Canada
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Hesse M, Jones S, Pedersen MM, Skov KBE, Thylstrup B, Pedersen MU. The predictive value of brief measures of externalizing behavior and internalizing problems in young people receiving substance use treatment: A secondary analysis. Addict Behav 2023; 139:107574. [PMID: 36565530 DOI: 10.1016/j.addbeh.2022.107574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/10/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Identifying people at risk of poor outcomes following treatment for substance use disorders is important for developing tailored services. The aim of this study was to test whether a brief measure of internalizing and externalizing behavior could identify young adults at high risk of psychiatric care episodes and criminal offending up to four years after enrolment in treatment for substance use disorder. METHODS Clients aged 15-25 years from a randomized multicenter study were included (N = 457). At baseline, all completed the YouthMap12 screener, a measure of internalizing symptoms (IP6) and externalizing problems (EP6). We used accelerated failure time regression to assess time to psychiatric care and criminal offending, adjusting for baseline occurrence, gender, age, treatment group, and uptake area. Youden's J was used to assess optimal cut-points for risk of events. RESULTS The IP6 was associated with shorter time to psychiatric care following treatment enrolment (beta = -0.71, 95% confidence interval [CI] = -0.94 to -0.48; adjusted beta = -0.45, 95% CI = -0.66 to -0.25). The EP6 was associated with shorter time to criminal offending, coefficient = -0.32, 95% CI = -0.44 to -0.19; adjusted coefficient = -0.18, 95% CI = -0.30 to -0.06). Optimal cut-points were two or more for the IP6 and three or more for the EP6. CONCLUSIONS The IP6 and the EP6, two simple and easily administered instruments, can identify young adults who are at an increased risk of future criminal offending or in need of psychiatric care. The findings lend support to using the 12-item YouthMap, as it identifies relevant risks, is compatible with local service delivery needs, and is theoretically and empirically supported.
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Affiliation(s)
- Morten Hesse
- Centre for Alcohol and Drug Research, Aarhus University, School of Business and Social Sciences, Bartholins Allé 10, 8000 Aarhus C, Denmark.
| | - Sheila Jones
- Department of Social Work, School of Health and Welfare, Dalarna University, Sweden.
| | | | | | - Birgitte Thylstrup
- Centre for Alcohol and Drug Research, Aarhus University, School of Business and Social Sciences, Bartholins Allé 10, 8000 Aarhus C, Denmark.
| | - Mads Uffe Pedersen
- Department of Social Work, School of Health and Welfare, Dalarna University, Sweden.
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45
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Wang M, Eaton NR. Linking non-suicidal self-injury to psychopathology: The utility of transdiagnostic and DSM-based models. J Affect Disord 2023; 332:55-63. [PMID: 37004904 DOI: 10.1016/j.jad.2023.03.075] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/02/2023] [Accepted: 03/24/2023] [Indexed: 04/04/2023]
Abstract
Non-suicidal self-injury (NSSI) is a significant public health concern, and its primary formal link to the universe of psychopathology content in DSM diagnoses has been mostly through borderline personality disorder (BPD). Recent research has produced ample evidence of weaknesses of diagnoses relative to transdiagnostic psychopathology dimensions, and found that NSSI-related variables like suicidality are best predicted by transdiagnostic versus diagnosis-based variables. These findings suggest a need to characterize how NSSI may relate to different forms of psychopathology classification constructs. We examined how transdiagnostic dimensions of psychopathology relate to NSSI, focusing on how transdiagnostic (shared) variance of dimensional psychopathology spectra might differentially explained the variance in NSSI relative to traditional DSM diagnoses. In two nationally representative United States samples (Ns = 34,653 and 36,309), we modeled the common distress-fear-externalizing transdiagnostic comorbidity model and investigated questions of predictive utility of these dimensional and categorical psychopathology structures. Transdiagnostic dimensions were superior in predicting NSSI compared to common DSM-IV and DSM-5 diagnoses. These dimensions accounted for 33.6-38.7 % of NSSI variance across all analyses in both samples. DSM-IV/DSM-5 diagnoses, however, demonstrated only modest incremental prediction of NSSI over and above the transdiagnostic dimensions. These results support a transdiagnostic reconceptualization of NSSI's links with psychopathology and highlight the importance of transdiagnostic dimensions for predicting clinical outcomes relating to self-injurious behaviors. Implications for research and clinical practice are discussed.
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Affiliation(s)
- Mengxing Wang
- Department of Psychology, Stony Brook University, United States of America.
| | - Nicholas R Eaton
- Department of Psychology, Stony Brook University, United States of America
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Profiles of patients with a personality disorder admitted in a day hospital treatment program: Revealing spectra from the Hierarchical Taxonomy of Psychopathology. CURRENT PSYCHOLOGY 2023. [DOI: 10.1007/s12144-023-04388-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
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Stanton K, Khoo S, McDonnell CG, Villalongo Andino M, Sturgeon T, Aasen L. An Initial Investigation of the Joint Classification of Hypomania- and Neurodevelopmental Disorder-Relevant Dimensions Within the Hierarchical Taxonomy of Psychopathology. Assessment 2023; 30:414-432. [PMID: 34747193 DOI: 10.1177/10731911211055670] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
We examined hierarchical structural models of psychopathology in samples of (a) adults recruited online and screened based on psychopathology history (N = 429) and (b) undergraduates (N = 529) to inform classification of neurodevelopmental disorder (NDD)- and hypomania-relevant dimensions within the Hierarchical Taxonomy of Psychopathology (HiTOP). Results differed across samples in some ways, but converged to indicate that some NDD- and hypomania-relevant dimensions aligned closely with different HiTOP spectra. For example, some hypomania-relevant dimensions (e.g., affective lability) overlapped strongly with the internalizing spectrum, whereas others (e.g., self-perceived charisma) were reverse-indicators of detachment. Examination of cross-sectional and prospective correlates for emergent factors also was informative in some ways. This included NDD-relevant and disinhibited externalizing dimensions associating robustly with treatment seeking history and recent experiences of distress. These results provide initial insights into classifying NDD- and hypomania-relevant dimensions within the HiTOP and indicate a need for future research in this area.
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Affiliation(s)
- Kasey Stanton
- Virginia Tech, Blacksburg, USA.,Western University, London, Canada
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Gómez-Carrillo A, Paquin V, Dumas G, Kirmayer LJ. Restoring the missing person to personalized medicine and precision psychiatry. Front Neurosci 2023; 17:1041433. [PMID: 36845417 PMCID: PMC9947537 DOI: 10.3389/fnins.2023.1041433] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 01/09/2023] [Indexed: 02/11/2023] Open
Abstract
Precision psychiatry has emerged as part of the shift to personalized medicine and builds on frameworks such as the U.S. National Institute of Mental Health Research Domain Criteria (RDoC), multilevel biological "omics" data and, most recently, computational psychiatry. The shift is prompted by the realization that a one-size-fits all approach is inadequate to guide clinical care because people differ in ways that are not captured by broad diagnostic categories. One of the first steps in developing this personalized approach to treatment was the use of genetic markers to guide pharmacotherapeutics based on predictions of pharmacological response or non-response, and the potential risk of adverse drug reactions. Advances in technology have made a greater degree of specificity or precision potentially more attainable. To date, however, the search for precision has largely focused on biological parameters. Psychiatric disorders involve multi-level dynamics that require measures of phenomenological, psychological, behavioral, social structural, and cultural dimensions. This points to the need to develop more fine-grained analyses of experience, self-construal, illness narratives, interpersonal interactional dynamics, and social contexts and determinants of health. In this paper, we review the limitations of precision psychiatry arguing that it cannot reach its goal if it does not include core elements of the processes that give rise to psychopathological states, which include the agency and experience of the person. Drawing from contemporary systems biology, social epidemiology, developmental psychology, and cognitive science, we propose a cultural-ecosocial approach to integrating precision psychiatry with person-centered care.
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Affiliation(s)
- Ana Gómez-Carrillo
- Culture, Mind, and Brain Program, Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montreal, QC, Canada
- Culture and Mental Health Research Unit, Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada
| | - Vincent Paquin
- Culture, Mind, and Brain Program, Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Guillaume Dumas
- Culture, Mind, and Brain Program, Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montreal, QC, Canada
- Precision Psychiatry and Social Physiology Laboratory at the CHU Sainte-Justine Research Center, Université de Montréal, Montreal, QC, Canada
- Mila-Quebec Artificial Intelligence Institute, Montreal, QC, Canada
| | - Laurence J Kirmayer
- Culture, Mind, and Brain Program, Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montreal, QC, Canada
- Culture and Mental Health Research Unit, Lady Davis Institute, Jewish General Hospital, Montreal, QC, Canada
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Cortese S, Solmi M, Michelini G, Bellato A, Blanner C, Canozzi A, Eudave L, Farhat LC, Højlund M, Köhler-Forsberg O, Leffa DT, Rohde C, de Pablo GS, Vita G, Wesselhoeft R, Martin J, Baumeister S, Bozhilova NS, Carlisi CO, Leno VC, Floris DL, Holz NE, Kraaijenvanger EJ, Sacu S, Vainieri I, Ostuzzi G, Barbui C, Correll CU. Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review. World Psychiatry 2023; 22:129-149. [PMID: 36640395 PMCID: PMC9840506 DOI: 10.1002/wps.21037] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/07/2022] [Indexed: 01/15/2023] Open
Abstract
Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability, motor disorders, specific learning disorders, and tic disorders - manifest themselves early in development. Valid, reliable and broadly usable biomarkers supporting a timely diagnosis of these disorders would be highly relevant from a clinical and public health standpoint. We conducted the first systematic review of studies on candidate diagnostic biomarkers for these disorders in children and adolescents. We searched Medline and Embase + Embase Classic with terms relating to biomarkers until April 6, 2022, and conducted additional targeted searches for genome-wide association studies (GWAS) and neuroimaging or neurophysiological studies carried out by international consortia. We considered a candidate biomarker as promising if it was reported in at least two independent studies providing evidence of sensitivity and specificity of at least 80%. After screening 10,625 references, we retained 780 studies (374 biochemical, 203 neuroimaging, 133 neurophysiological and 65 neuropsychological studies, and five GWAS), including a total of approximately 120,000 cases and 176,000 controls. While the majority of the studies focused simply on associations, we could not find any biomarker for which there was evidence - from two or more studies from independent research groups, with results going into the same direction - of specificity and sensitivity of at least 80%. Other important metrics to assess the validity of a candidate biomarker, such as positive predictive value and negative predictive value, were infrequently reported. Limitations of the currently available studies include mostly small sample size, heterogeneous approaches and candidate biomarker targets, undue focus on single instead of joint biomarker signatures, and incomplete accounting for potential confounding factors. Future multivariable and multi-level approaches may be best suited to find valid candidate biomarkers, which will then need to be validated in external, independent samples and then, importantly, tested in terms of feasibility and cost-effectiveness, before they can be implemented in daily clinical practice.
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Affiliation(s)
- Samuele Cortese
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK
- Solent NHS Trust, Southampton, UK
- Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA
- Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK
| | - Marco Solmi
- Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada
- Department of Mental Health, Ottawa Hospital, Ottawa, ON, Canada
- Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program, University of Ottawa, Ottawa, ON, Canada
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Giorgia Michelini
- Department of Biological & Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles (UCLA), Los Angeles, CA, USA
| | - Alessio Bellato
- School of Psychology, University of Nottingham, Semenyih, Malaysia
| | - Christina Blanner
- Mental Health Center, Glostrup, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Andrea Canozzi
- Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Luis Eudave
- Faculty of Education and Psychology, University of Navarra, Pamplona, Spain
| | - Luis C Farhat
- Department of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Mikkel Højlund
- Department of Psychiatry Aabenraa, Mental Health Services in the Region of Southern Denmark, Aabenraa, Denmark
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Douglas Teixeira Leffa
- ADHD Outpatient Program & Development Psychiatry Program, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Sul, Brazil
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christopher Rohde
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark
| | - Gonzalo Salazar de Pablo
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Child and Adolescent Mental Health Services, South London and Maudsley NHS Foundation Trust, London, UK
- Early Psychosis: Interventions and Clinical-detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Psychiatry and Mental Health, Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón School of Medicine, Universidad Complutense, CIBERSAM, Madrid, Spain
| | - Giovanni Vita
- Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Rikke Wesselhoeft
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark
- Child and Adolescent Mental Health Odense, Mental Health Services in the Region of Southern Denmark, Odense, Denmark
| | - Joanna Martin
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Natali S Bozhilova
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- School of Psychology, University of Surrey, Guilford, UK
| | - Christina O Carlisi
- Division of Psychology and Language Sciences, University College London, London, UK
| | - Virginia Carter Leno
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Dorothea L Floris
- Department of Psychology, University of Zurich, Zurich, Switzerland
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Nathalie E Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
- Donders Institute for Brain, Cognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands
- Department for Cognitive Neuroscience, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig Holstein, Kiel University, Kiel, Germany
| | - Eline J Kraaijenvanger
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Seda Sacu
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany
| | - Isabella Vainieri
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Giovanni Ostuzzi
- Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Corrado Barbui
- Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Christoph U Correll
- Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
- Psychiatry Research, Northwell Health, Zucker Hillside Hospital, New York, NY, USA
- Department of Psychiatry and Molecular Medicine, Zucker School of Medicine, Hempstead, NY, USA
- Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
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Somma A, Krueger RF, Markon KE, Gialdi G, Frau C, Fossati A. The joint hierarchical structure of psychopathology and dysfunctional personality domain indicators among community-dwelling adults. Personal Ment Health 2023; 17:3-19. [PMID: 35770737 DOI: 10.1002/pmh.1556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 11/10/2022]
Abstract
To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions.
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Affiliation(s)
- Antonella Somma
- School of Psychology, Vita-Salute San Raffaele, Milan, Italy
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Kristian E Markon
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA
| | - Giulia Gialdi
- School of Psychology, Vita-Salute San Raffaele, Milan, Italy
| | | | - Andrea Fossati
- School of Psychology, Vita-Salute San Raffaele, Milan, Italy
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