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Breuer F, Meyhöfer I, Lencer R, Sprenger A, Roesmann K, Schag K, Dannlowski U, Leehr EJ. Aberrant inhibitory control as a transdiagnostic dimension of mental disorders - A meta-analysis of the antisaccade task in different psychiatric populations. Neurosci Biobehav Rev 2024; 165:105840. [PMID: 39103067 DOI: 10.1016/j.neubiorev.2024.105840] [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: 03/19/2024] [Revised: 06/29/2024] [Accepted: 08/01/2024] [Indexed: 08/07/2024]
Abstract
This meta-analysis examined inhibitory control performance in the antisaccade task across mental disorders. Following PRISMA guidelines, we analyzed data from k = 146 studies (n = 13,807 participants) on antisaccade performance. Effect sizes were estimated using random-effects models and restricted maximum-likelihood estimation, with robustness tests for study heterogeneity and publication bias. Most disorders displayed elevated error rates, with schizophrenia showing the greatest impairments, followed by autism spectrum disorder, bipolar disorder and attention deficit hyperactivity disorder. Small to medium impairments were also found in eating disorders, major depressive disorder, obsessive-compulsive disorder and substance use disorder. Results were robust against corrections for publication bias and largely unaffected by confounding variables. Prolonged latencies were observed in schizophrenia, attention deficit hyperactivity disorder, bipolar disorder and obsessive compulsive disorder, with smaller and less robust effect sizes. Results indicate inhibitory control deficits in the antisaccade task across mental disorders, especially evident for error rates. While present in most disorders, results imply varying degrees of impairments, ranging from small to large in effect sizes, with largest impairments in schizophrenia.
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Affiliation(s)
- Fabian Breuer
- Institute for Translational Psychiatry, University of Münster, Germany
| | - Inga Meyhöfer
- Institute for Translational Psychiatry, University of Münster, Germany; Otto-Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany
| | - Rebekka Lencer
- Institute for Translational Psychiatry, University of Münster, Germany; Otto-Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Germany; Department of Psychiatry and Psychotherapy, University of Lübeck, Germany
| | - Andreas Sprenger
- Department of Psychiatry and Psychotherapy, University of Lübeck, Germany; Institute of Psychology II, University of Lübeck, Germany
| | - Kati Roesmann
- Institute for Psychology, Unit for Clinical Psychology and Psychotherapy in Childhood and Adolescence. University of Osnabrück, Germany; Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany
| | - Kathrin Schag
- Medical University Hospital Tübingen, Department of Psychosomatic Medicine and Psychotherapy, Tübingen, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Germany
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Leucht S, van Os J, Jäger M, Davis JM. Prioritization of Psychopathological Symptoms and Clinical Characterization in Psychiatric Diagnoses: A Narrative Review. JAMA Psychiatry 2024:2823588. [PMID: 39259534 DOI: 10.1001/jamapsychiatry.2024.2652] [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] [Indexed: 09/13/2024]
Abstract
Importance Psychiatry mainly deals with conditions that are mediated by brain function but are not directly attributable to specific brain abnormalities. Given the lack of concrete biological markers, such as laboratory tests or imaging results, the development of diagnostic systems is difficult. Observations This narrative review evaluated 9 diagnostic approaches. The validity of the DSM and the International Classification of Disorders (ICD) is limited. The Research Domain Criteria is a research framework, not a diagnostic system. The clinical utility of the quantitatively derived, dimensional Hierarchical Taxonomy of Psychopathology is questionable. The Psychodynamic Diagnostic Manual Version 2 follows psychoanalytic theory and focuses on personality. Unlike the personality assessments in ICD-11 or DSM-5's alternative model, based on pathological extremes of the big 5 traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), it lacks foundation in empirical evidence. Network analytic approaches are intriguing, but their complexity makes them difficult to implement. Staging would be easier if individually predictive biological markers were available. The problem with all these new approaches is that they abstract patient experiences into higher-order constructs, potentially obscuring individual symptoms so much that they no longer reflect patients' actual problems. Conclusions and Relevance ICD and DSM diagnoses can be questioned, but the reality of psychopathological symptoms, such as hallucinations, depression, anxiety, compulsions, and the suffering stemming from them, cannot. Therefore, it may be advisable to primarily describe patients according to the psychopathological symptoms they present, and any resulting personal syndromes, embedded in a framework of contextual clinical characterization including personality assessment and staging. The DSM and ICD are necessary for reimbursement, but they should be simplified and merged. A primarily psychopathological symptoms-based, clinical characterization approach would be multidimensional and clinically useful, because it would lead to problem-oriented treatment and support transdiagnostic research. It should be based on a universally used instrument to assess psychopathology and structured clinical characterization.
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Affiliation(s)
- Stefan Leucht
- Department of Psychiatry and Psychotherapy, Technical University of Munich, TUM School of Medicine and Health, Munich, Germany
- German Center for Mental Health, CITY, Germany
| | - Jim van Os
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom
| | - Markus Jäger
- Department of Psychiatry, Psychotherapy and Psychosomatic, District Hospital Kempten, Kempten, Germany
| | - John M Davis
- Psychiatric Institute, University of Illinois at Chicago, Chicago
- Johns Hopkins University, Baltimore, Maryland
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Shao W, Simmonds-Buckley M, Zavlis O, Bentall RP. The Common Structure of the Major Psychoses: More Similarities Than Differences in the Network Structures of Schizophrenia, Schizoaffective Disorder, and Psychotic Bipolar Disorder. Schizophr Bull 2024:sbae154. [PMID: 39259601 DOI: 10.1093/schbul/sbae154] [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] [Indexed: 09/13/2024]
Abstract
BACKGROUND AND HYPOTHESIS There has been a century-long debate about whether the major psychoses (eg, bipolar disorder, schizophrenia, and schizoaffective disorder) are one disorder with various manifestations or different disease entities. Traditional approaches using dimensional models have not provided decisive findings. Here, we address this question by examining the network constellation of affective and psychotic syndromes. DESIGN Comparable symptom data of 1882 patients with psychotic bipolar disorder, schizoaffective disorders, and schizophrenia were extracted from three datasets: B-SNIP 1, B-SNIP2, and PARDIP. Twenty-six items from the Positive and Negative Syndrome Scale, YMRS, and the Montgomery-Asberg Depression Rating Scale were selected for the analysis using a principled approach to eliminate overlapping/redundant items. Gaussian graphical models were estimated and assessed for stability, and their communities were identified using bootstrapped exploratory graph analysis. The structures and global densities of the networks were compared with network comparison tests. RESULTS The network structures were highly similar (r >. 80) across diagnostic groups. For all diagnoses, manic symptoms were more connected with positive symptoms while depressive symptoms were more linked with negative symptoms. The depressive and negative symptoms were the strongest indicators of depressive and psychotic communities. Theoretically interesting variability in network edge weights between symptoms was found relating to thought disorder and pessimistic thinking. CONCLUSIONS The same broad structure of psychopathology underlies the symptom expressions of bipolar disorder, schizoaffective disorder, and schizophrenia. Future studies should build on the present finding by comparing specific inter-relations between symptoms in the different diagnostic groups using methods capable of detecting causality.
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Affiliation(s)
- Wen Shao
- Department of Psychology, University of Sheffield, Sheffield S1 2LT, UK
| | | | - Orestis Zavlis
- Department of Psychology and Language Sciences, University College London, London WC1E 6BT, UK
| | - Richard P Bentall
- Department of Psychology, University of Sheffield, Sheffield S1 2LT, UK
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Zhong Q, Niu L, Chen K, Lee TMC, Zhang R. Prevalence and risk of subthreshold anxiety developing into threshold anxiety disorder in the general population. J Affect Disord 2024; 367:815-822. [PMID: 39265868 DOI: 10.1016/j.jad.2024.09.031] [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: 04/13/2024] [Revised: 09/02/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Subthreshold anxiety may act as a critical precursor and risk factor for the onset of threshold anxiety. However, accurate prevalence rates of subthreshold anxiety and its role in leading to threshold anxiety require further elucidation. METHODS We conducted a search on PubMed and Web of Science using predefined criteria and identified 45 articles with a total of 278,971 individuals to estimate the prevalence rates using a random effects model. The incidence risk ratio (IRR) was estimated by comparing the proportion of individuals with subthreshold anxiety who developed threshold anxiety to those without subthreshold anxiety in seven articles involving 18,693 individuals. RESULTS Our analysis revealed an overall prevalence of subthreshold anxiety of 6.19%. Specifically, among individuals with subthreshold generalized anxiety disorders, adolescents show the highest prevalence (9.47%), outpacing adults (4.69%) and the elderly (3.49%). Further analysis of seven studies showed an increased risk of developing threshold anxiety in individuals with subthreshold anxiety (IRR = 2.63), with a higher transition rate (9.59%) compared to those without subthreshold anxiety (3.65%). CONCLUSIONS Anxiety disorders may be conceptualized as a spectrum, with subthreshold anxiety serving as a significant prodromal state and risk factor for the development of threshold anxiety. Proactive management of subthreshold anxiety represents an effective approach for the prevention of its progression to threshold anxiety. Future research should investigate the risk of progression from subthreshold to threshold anxiety across various types, and explore how factors, such as social support and personality traits facilitate this progression.
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Affiliation(s)
- Qianting Zhong
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Lijing Niu
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Keyin Chen
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region of China; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong Special Administrative Region of China; Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong-Macao Greater Bay Area, Guangzhou, China
| | - Ruibin Zhang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong-Hong Kong Joint Laboratory for Psychiatric Disorders, Southern Medical University.
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Martinez KA, Ryu E, Patrick CJ, Temkin NR, Stein MB, Magnus BE, McCrea MA, Manley GT, Nelson LD. Distinct trajectories of neuropsychiatric symptoms in the 12 months following traumatic brain injury (TBI): a TRACK-TBI study. Psychol Med 2024:1-10. [PMID: 39228231 DOI: 10.1017/s0033291724001211] [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] [Indexed: 09/05/2024]
Abstract
BACKGROUND Neuropsychiatric symptoms are common after traumatic brain injury (TBI) and often resolve within 3 months post-injury. However, the degree to which individual patients follow this course is unknown. We characterized trajectories of neuropsychiatric symptoms over 12 months post-TBI. We hypothesized that a substantial proportion of individuals would display trajectories distinct from the group-average course, with some exhibiting less favorable courses. METHODS Participants were level 1 trauma center patients with TBI (n = 1943), orthopedic trauma controls (n = 257), and non-injured friend controls (n = 300). Trajectories of six symptom dimensions (Depression, Anxiety, Fear, Sleep, Physical, and Pain) were identified using growth mixture modeling from 2 weeks to 12 months post-injury. RESULTS Depression, Anxiety, Fear, and Physical symptoms displayed three trajectories: Stable-Low (86.2-88.6%), Worsening (5.6-10.9%), and Improving (2.6-6.4%). Among symptomatic trajectories (Worsening, Improving), lower-severity TBI was associated with higher prevalence of elevated symptoms at 2 weeks that steadily resolved over 12 months compared to all other groups, whereas higher-severity TBI was associated with higher prevalence of symptoms that gradually worsened from 3-12 months. Sleep and Pain displayed more variable recovery courses, and the most common trajectory entailed an average level of problems that remained stable over time (Stable-Average; 46.7-82.6%). Symptomatic Sleep and Pain trajectories (Stable-Average, Improving) were more common in traumatically injured groups. CONCLUSIONS Findings illustrate the nature and rates of distinct neuropsychiatric symptom trajectories and their relationship to traumatic injuries. Providers may use these results as a referent for gauging typical v. atypical recovery in the first 12 months post-injury.
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Affiliation(s)
- Karen A Martinez
- Departments of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee WI, USA
| | - Ehri Ryu
- Department of Psychology and Neuroscience, Boston College, Boston, MA, USA
| | | | - Nancy R Temkin
- Departments of Neurological Surgery and Biostatistics, University of Washington, Seattle, USA
| | - Murray B Stein
- Department of Psychiatry, University of California, San Diego, USA
- Herbert Wertheim School of Public Health, University of California, San Diego, USA
- VA San Diego Healthcare System, San Diego, California, USA
| | - Brooke E Magnus
- Department of Psychology and Neuroscience, Boston College, Boston, MA, USA
| | - Michael A McCrea
- Departments of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee WI, USA
| | - Geoffrey T Manley
- Department of Neurological Surgery, University of California, San Francisco, USA
| | - Lindsay D Nelson
- Departments of Neurosurgery & Neurology, Medical College of Wisconsin, Milwaukee WI, USA
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Beatty CC, Gallardo M, Ferry RA, Feldman J, Levy A, Grieshaber A, Nelson BD. Pathological personality domains and punishment-enhanced error-related negativity. Int J Psychophysiol 2024; 203:112408. [PMID: 39097099 DOI: 10.1016/j.ijpsycho.2024.112408] [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: 05/22/2024] [Revised: 07/26/2024] [Accepted: 07/31/2024] [Indexed: 08/05/2024]
Abstract
The error-related negativity (ERN) is an event-related potential that is observed after the commission of an error and is hypothesized to index threat sensitivity. The ERN is associated with multiple psychiatric disorders, but it is unclear if similar results are due to higher-order dimensions of psychopathology. When errors are punished, the ERN is further enhanced, which might better isolate threat sensitivity. However, few studies have examined whether psychopathology is associated with punishment enhancement of the ERN. In a clinical sample of 170 adults, the present study examined the association between pathological personality domains and predictable vs. unpredictable punishment-enhanced ERN. Results indicated that the ERN was enhanced when errors were punished compared to not punished. Greater negative emotionality was associated with a greater predictable punishment-enhanced ERN, while greater disinhibition was associated with smaller predictable punishment-enhanced ERN. The study suggests that higher-order pathological personality domains demonstrate discriminate relationships with punishment-enhanced error-related brain activity.
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Affiliation(s)
- Clare C Beatty
- Department of Psychology, Stony Brook University, United States of America.
| | - Marcela Gallardo
- Department of Psychology, Stony Brook University, United States of America
| | - Rachel A Ferry
- Department of Psychology, Stony Brook University, United States of America
| | - Jacob Feldman
- Department of Psychology, Stony Brook University, United States of America
| | - Adina Levy
- Department of Psychology, Stony Brook University, United States of America
| | | | - Brady D Nelson
- Department of Psychology, Stony Brook University, United States of America
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7
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Zhang L, Takahashi Y. Relationships between obsessive-compulsive disorder and the big five personality traits: A meta-analysis. J Psychiatr Res 2024; 177:11-23. [PMID: 38964090 DOI: 10.1016/j.jpsychires.2024.06.033] [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: 10/09/2023] [Revised: 05/31/2024] [Accepted: 06/24/2024] [Indexed: 07/06/2024]
Abstract
Although several studies have examined the relationships between obsessive-compulsive disorder (OCD) and the Big Five personality traits (i.e., neuroticism, extraversion, openness, agreeableness, and conscientiousness), the results have been inconsistent. Therefore, this meta-analysis comprehensively examined the relationships between OCD and these traits. In total, 23 studies (29 independent datasets) with 30,138 participants were analyzed. The pooled effect size was 0.34 (95% confidence interval [CI]: 0.28, 0.40) for neuroticism, -0.14 (95% CI: -0.18, -0.10) for extraversion, -0.04 (95% CI: -0.09, 0.02) for openness, -0.10 (95% CI: -0.16, -0.04) for agreeableness, and -0.03 (95% CI: -0.11, 0.05) for conscientiousness, indicating that OCD was associated with higher scores for neuroticism and lower scores for extraversion and agreeableness. Meta-regression and subgroup analyses indicated that heterogeneity was mainly due to differences in sample types and OCD measurement instruments. Sensitivity analysis showed that the results of the meta-analysis were robust. Overall, neuroticism was a maladaptive trait, whereas extraversion and agreeableness were adaptive traits for OCD. Although the results could be sample- and instrument-specific, our findings may inform preventions and interventions for OCD symptoms.
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Affiliation(s)
- Lei Zhang
- Graduate School of Education, Kyoto University, Kyoto, Japan
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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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Dugré JR, Potvin S. Investigating the impact of lumping heterogenous conduct problems: aggression and rule-breaking rely on distinct spontaneous brain activity. Eur Child Adolesc Psychiatry 2024:10.1007/s00787-024-02557-w. [PMID: 39143190 DOI: 10.1007/s00787-024-02557-w] [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] [Received: 04/27/2024] [Accepted: 08/06/2024] [Indexed: 08/16/2024]
Abstract
Accumulating evidence suggests that aggression and rule-breaking may have distinct origins. However, grouping these heterogeneous behaviors into a single dimension labelled Conduct Problems (CP) has become the norm rather than the exception. Yet, the neurobiological features that differentiate aggression and rule-breaking remain largely unexplored. Using a large sample of children and adolescents (n = 1360, 6-18 years old), we examined the common and specific brain activity between CP, aggression, and rule-breaking behaviors. Analyses were conducted using fMRI resting-state data from a 10-minute session to explore the correlations between low frequency fluctuations and both broad and fine-grained CP dimensions. The broad CP dimension was associated with deficits in the precentral gyrus, superior temporal gyrus, and tempo-parietal junction. However, only the superior temporal gyrus was shared between aggression and rule-breaking. Activity of the precentral gyrus was mainly associated with rule-breaking, and the temporo-parietal cortex with aggression. More importantly, voxel-wise analyses on fine-grained dimensions revealed additional specific effects that were initially obscured when using a broad CP dimension. Finally, we showed that the findings specific to aggression and rule-breaking may be related to distinct brain networks and mental functions, especially ventral attention/sensorimotor processes and default mode network/social cognitions, respectively. The current study highlights that aggression and rule-breaking may be related to distinct local and distributed neurobiological markers. Overall, using fine-grained dimensions may provide a clearer picture of the role of neurobiological correlates in CP and their invariance across measurement levels. We advocate for adopting a more thorough examination of the lumping/splitting effect across neuroimaging studies on CP.
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Affiliation(s)
- Jules Roger Dugré
- School of Psychology and Centre for Human Brain Health, University of Birmingham, Birmingham, B15 2TT, United Kingdom.
| | - Stéphane Potvin
- Department of Psychiatry and Addiction, Faculty of medicine, University of Montreal, Montreal, Canada.
- Centre de recherche de l'Institut Universitaire en Santé Mentale de Montréal, 7331, Hochelaga, Montreal, H1N 3V2, Canada.
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Marek RJ, Heinberg LJ. Should presurgical psychological evaluations still be a mandated requirement for metabolic and bariatric surgery? A critique of the literature and thoughts on future directions. Surg Obes Relat Dis 2024:S1550-7289(24)00720-2. [PMID: 39242241 DOI: 10.1016/j.soard.2024.08.001] [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: 05/23/2024] [Revised: 07/19/2024] [Accepted: 08/03/2024] [Indexed: 09/09/2024]
Abstract
For more than 30 years, clinical practice guidelines for the perioperative support of patients who undergo metabolic and bariatric surgery have recommended a formal psychological evaluation before surgery. However, the predictive utility of the evaluation in determining future outcomes has been mixed, leading to controversy regarding whether such evaluations should be required for all potential patients. This empirically based commentary will review the utility and value of the psychological evaluation in addition to the limitations in the extant literature that reduce predictive validity and provide recommendations on how to improve quality of the empirical literature and refinements to increase the utility of preoperative evaluations. Pre-metabolic and bariatric surgery psychological evaluation conducted by an appropriately trained clinician and properly reimbursed by the payor that includes time for psychological testing, integration of data, report writing, medical record review, and feedback to the patient and surgical team, should continue to be the standard of care as it benefits all stakeholders.
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Affiliation(s)
- Ryan J Marek
- Department of Psychology and Philosophy, Sam Houston State University, Huntsville, Texas.
| | - Leslie J Heinberg
- Department of Psychiatry and Psychology, Cleveland Clinic Lerner College of Medicine, Cleveland, Ohio
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11
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Williams TF, Pinkham AE, Mittal VA. Understanding the Psychosis Spectrum Using a Hierarchical Model of Social Cognition. Schizophr Bull 2024:sbae138. [PMID: 39116540 DOI: 10.1093/schbul/sbae138] [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: 08/10/2024]
Abstract
BACKGROUND AND HYPOTHESIS Social cognitive impairments are central to psychosis, including lower severity psychosis-like experiences (PLEs). Nonetheless, progress has been hindered by social cognition's poorly defined factor structure, as well as limited work examining the specificity of social cognitive impairment to psychosis. The present study examined how PLEs relate to social cognition in the context of other psychopathology dimensions, using a hierarchical factors approach to social cognition. STUDY DESIGN Online community participants (N = 1026) completed psychosis, autism, and personality disorder questionnaires, as well as 3 social cognitive tasks that varied in methodology (vignette vs video) and construct (higher- vs lower-level social cognition). Exploratory (EFA) and confirmatory factor analyses (CFA) were used to model social cognition, with the best models being examined in association with PLEs and psychopathology dimensions. STUDY RESULTS EFA and CFA supported a hierarchical model of social cognition, with 2 higher-order factors emerging: verbal/vignette task methodology and a multimethod general social cognition factor. These higher-order factors accounted for task-level associations to psychopathology, with relations to positive symptoms (r = .23) and antagonism (r = .28). After controlling for other psychopathology, positive symptoms were most clearly related to tasks with verbal methodology (β = -0.34). CONCLUSIONS These results suggest that broad social cognitive processes and method effects may account for many previous findings in psychosis and psychopathology research. Additionally, accounting for broad social cognitive impairment may yield insights into more specific social cognitive processes as well.
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Affiliation(s)
- Trevor F Williams
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Amy E Pinkham
- Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Evanston, IL, USA
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12
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Correll CU, Dombi ZB, Barabássy Á, Németh G, Brevig T, McIntyre RS. The Transdiagnostic Global Impression - Psychopathology scale (TGI-P): Initial development of a novel transdiagnostic tool for assessing, tracking, and visualising psychiatric symptom severity in everyday practice. Eur Neuropsychopharmacol 2024; 88:31-39. [PMID: 39121713 DOI: 10.1016/j.euroneuro.2024.07.012] [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: 06/24/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024]
Abstract
Lacking biomarkers in psychiatry calls for a valid and reliable assessment of psychopathology across mental disorders that is easy to use, bridges research and clinical care, and that can capture clinician and patient perspectives. Herein we propose, a novel, brief, transdiagnostic tool to assess and visualize symptom severity in different psychiatric disorders. The Transdiagnostic Global Impression - Psychopathology scale (TGI-P) is based on the Clinical Global Impression - Severity scale (CGI-S), which was originally designed to measure global illness severity in one score. The TGI-P covers 10 transdiagnostic symptom domains and similar to the CGI-S, it is rated on a 7-point Likert-scale from 1 (normal) to 7 (extreme). These ten domains include positive symptoms, negative symptoms, manic symptoms, depressive symptoms, addiction symptoms, cognitive symptoms, anxiety symptoms, sleep symptoms, hostility symptoms, and self-harm symptoms. The results are visually presented, thus simplifying the monitoring of symptoms, and facilitating discussion with patients and caregivers. As part of the development process, the TGI-P was surveyed among 36 psychiatrists from 3 countries. Importantly, over 80 % of them was "very positive" or "positive" about the concept of the tool, and most of them (70 %) reported willingness to use it in their everyday practice. Further psychometric development and testing of the TGI-P is underway alongside future TGI scales covering adverse events, functioning and satisfaction.
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Affiliation(s)
- 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; German Center for Mental Health (DZPG), partner site Berlin, Germany; Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Northwell Health, New Hyde Park, NY, US
| | - Zsófia B Dombi
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom; Global Medical Division, Gedeon Richter Plc., Budapest, Hungary.
| | - Ágota Barabássy
- Global Medical Division, Gedeon Richter Plc., Budapest, Hungary
| | - György Németh
- Global Medical Division, Gedeon Richter Plc., Budapest, Hungary
| | - Thomas Brevig
- Global Medical Division, Gedeon Richter Plc., Budapest, Hungary
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, Toronto Western Hospital, University Health Network, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada
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13
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Haywood D, Kotov R, Krueger RF, Wright AGC, Forbes MK, Dauer E, Baughman FD, Rossell SL, Hart NH. Reconceptualizing mental health in cancer survivorship. Trends Cancer 2024; 10:677-686. [PMID: 38890021 DOI: 10.1016/j.trecan.2024.05.008] [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: 02/26/2024] [Revised: 05/25/2024] [Accepted: 05/28/2024] [Indexed: 06/20/2024]
Abstract
Mental health for cancer survivors in both research and clinical applications has strongly adopted a traditional nosological approach, involving the classification of psychopathology into discrete disorders. However, this approach has recently faced considerable criticism due to issues such as high comorbidity and within-disorder symptom heterogeneity across populations. Moreover, there are additional specific issues impacting the validity of traditional approaches in cancer survivorship populations, including the physiological effects of cancer and its treatments. In response, we provide the case for the hierarchical dimensional approach within psycho-oncology, in particular the Hierarchical Taxonomy of Psychopathology (HiTOP). We discuss not only the potential utility of HiTOP to research and clinical applications within psycho-oncology, but also its limitations, and what is required to apply this approach within cancer survivorship.
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Affiliation(s)
- Darren Haywood
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia; Department of Psychiatry, Melbourne Medical School, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia; School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
| | - Roman Kotov
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Aidan G C Wright
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA; Eisenberg Family Depression Center, University of Michigan, Ann Arbor, MI, USA
| | - Miriam K Forbes
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Evan Dauer
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Frank D Baughman
- School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
| | - Susan L Rossell
- Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia; Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Nicolas H Hart
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia; Exercise Medicine Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia; Cancer and Palliative Care Outcomes Centre, Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Institute for Health Research, University of Notre Dame Australia, Perth, WA, Australia
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14
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Mihura JL, Boyette LL, Görner KJ, Kleiger JH, Jowers CE, Ales F. Improving dependability in science: A critique on the psychometric qualities of the HiTOP psychosis superspectrum. Schizophr Res 2024; 270:433-440. [PMID: 38991419 DOI: 10.1016/j.schres.2024.06.051] [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: 03/05/2023] [Revised: 04/11/2024] [Accepted: 06/25/2024] [Indexed: 07/13/2024]
Abstract
We reevaluated HiTOP's existing factor analytic evidence-base for a Psychosis (P) superspectrum as encompassing two psychosis-relevant subfactors ("spectra")-Thought Disorder (TD) and Detachment (D). We found that their data did not support P as a superspectrum with TD and D subfactors. Instead, TD contained both positive and negative symptoms of psychosis and emerged at the subfactor level. D did not target negative symptoms but, largely, disorders unrelated to psychosis and should not be placed under P. Determining if P is truly a superspectrum with psychosis TD and D subfactors will require factor analyses whose items are symptom-based and span the full range of psychopathology. Secondly, HiTOP authors state that TD and D provide a "nearly 2-fold" improvement in reliability over schizophrenia diagnoses but, after aligning the comparative study methodologies, this 2-fold improvement disappears. Finally, HiTOP's use of the term thought disorder is inconsistent with the ICD-11 and psychosis literature, in which it refers to formal thought disorder. We recommend that HiTOP (a) refer to P as a subfactor with positive and negative symptoms of psychosis until research indicates otherwise, (b) regularly rely on formal systematic reviews, (c) use appropriate reliability comparisons, (d) deconflate D with negative symptoms, and (e) rename TD.
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Affiliation(s)
- Joni L Mihura
- Department of Psychology, University of Toledo, United States of America.
| | - Lindy-Lou Boyette
- Department of Clinical Psychology, University of Amsterdam, Netherlands
| | - Kim J Görner
- Department of Psychology, University of Toledo, United States of America
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15
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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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16
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Sanchez-Garcia M, Díaz-Batanero C, De la Rosa-Cáceres A. Discriminative capacity of the Spanish version of the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) for detecting DMS-5 specific disorders and poor quality of life in a clinical sample. Health Qual Life Outcomes 2024; 22:56. [PMID: 39020397 PMCID: PMC11256423 DOI: 10.1186/s12955-024-02270-x] [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] [Received: 03/12/2024] [Accepted: 07/01/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND Emotional problems can be evaluated using categorical approaches to guide treatment choices focused on targeting specific disorders, or dimensional approaches to reduce symptom severity. Moreover, recent evidence points out the need to intervene in patients' quality of life (QoL), which often remains low even after the remission of emotional problems. Thus, assessment instruments are needed to provide information on diagnosis, symptom severity, and QoL. The present study aimed to provide diagnostic and QoL cutoffs for the Inventory of Depression and Anxiety Symptoms-II (IDAS-II). METHODS 273 patients recruited from mental health services in Huelva (Spain) completed the IDAS-II, Mini International Neuropsychiatric Interview, and Short Form-36 Health Survey. Receiver operating characteristic curve analyses were used to establish cutoff values. Diagnostic, balanced, and screening cutoffs were provided for each IDAS-II scale to detect corresponding diagnoses and poor QoL. RESULTS The specific IDAS-II scales Suicidality, Panic, Social Anxiety, Claustrophobia, and Traumatic Intrusions showed adequate discrimination values for their corresponding diagnoses (suicidal behavior disorder, panic disorder, social anxiety disorder, agoraphobia, and post-traumatic stress disorder, respectively). Both the General Depression and Dysphoria scales showed adequate ability to detect major depressive disorder. The IDAS-II scales showed a higher discrimination ability for Mental Health-related QoL, than for General Health-related QoL. CONCLUSIONS The diagnostic and QoL cutoffs expand the clinical utility of the IDAS-II in clinical practice and research, making it a comprehensive, detailed, and versatile self-report tool. The IDAS-II allows for the assessment of emotional problems consistent with the dimensional, categorical, transdiagnostic, and QoL approaches.
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Affiliation(s)
- Manuel Sanchez-Garcia
- Department of Clinical and Experimental Psychology, Facultad de Ciencias de la Educación, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain
- Research Center for Natural Resources, Health and the Environment, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain
| | - Carmen Díaz-Batanero
- Department of Clinical and Experimental Psychology, Facultad de Ciencias de la Educación, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain
- Research Center for Natural Resources, Health and the Environment, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain
| | - Ana De la Rosa-Cáceres
- Department of Clinical and Experimental Psychology, Facultad de Ciencias de la Educación, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain.
- Research Center for Natural Resources, Health and the Environment, University of Huelva, Universidad de Huelva, Huelva, 21071, Spain.
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17
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Münker L, Rimvall MK, Frostholm L, Ørnbøl E, Wellnitz KB, Jeppesen P, Maria Rosmalen JG, Rask CU. Exploring the course of functional somatic symptoms (FSS) from pre- to late adolescence and associated internalizing psychopathology - an observational cohort-study. BMC Psychiatry 2024; 24:495. [PMID: 38977964 PMCID: PMC11232134 DOI: 10.1186/s12888-024-05937-3] [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: 09/01/2023] [Accepted: 06/26/2024] [Indexed: 07/10/2024] Open
Abstract
BACKGROUND Functional somatic symptoms (FSS), which commonly cannot be attributed to well-defined organic pathology, often co-occur with internalizing psychopathology and fluctuate throughout different life stages. We examined FSS courses throughout adolescence, and the association between preadolescent FSS, FSS severity and internalizing psychopathology at late adolescence. METHODS Data from the Copenhagen Child Cohort (CCC2000) were utilized from assessments at ages 11-12 years (preadolescence; T0) and 16-17 years (late adolescence; T1). Self-report questionnaire and interview data on FSS, internalizing psychopathology, chronic medical conditions, and sociodemographic data from Danish national registers were available for 1285 youths. FSS courses were categorized into persistent (high FSS at T0 & T1), remission (high FSS only at T0), incident (high FSS only at T1) or no FSS (no FSS at T0 & T1). Multiple linear and multinomial logistic regressions were conducted to investigate the FSS/psychopathology association. RESULTS 1.8% of adolescents fell into the persistent FSS course group throughout adolescence. Higher preadolescent FSS predicted FSS (b = 0.07, p < .001), anxiety (b = 0.05, p < .001) and depression (b = 0.06, p < .001) at age 16/17, even after controlling for sex, parental education, a chronic medical condition and internalizing psychopathology in preadolescence. Persistent, incident, and remittent FSS courses were associated with significantly higher mean levels of anxiety and depression compared to the reference group (no FSS). CONCLUSIONS FSS during pre- and late adolescence might increase and co-occur with anxiety and depression throughout adolescence, potentially due to shared underlying risk factors and processes.
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Affiliation(s)
- Lina Münker
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital Psychiatry, Psychiatry, Aarhus, Denmark.
- Department of Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark.
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Martin Køster Rimvall
- Department of Child and Adolescent Psychiatry, Copenhagen University Hospital - Psychiatry Region Zealand, Roskilde, Denmark
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
| | - Lisbeth Frostholm
- Department of Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Eva Ørnbøl
- Department of Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Kaare Bro Wellnitz
- Department of Functional Disorders and Psychosomatics, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Pia Jeppesen
- Department of Child and Adolescent Psychiatry, Copenhagen University Hospital - Psychiatry Region Zealand, Roskilde, Denmark
- Child and Adolescent Mental Health Centre, Copenhagen University Hospital - Mental Health Services CPH, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Judith Gerarda Maria Rosmalen
- Departments of Psychiatry and Internal medicine, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Charlotte Ulrikka Rask
- Department of Child and Adolescent Psychiatry, Aarhus University Hospital Psychiatry, Psychiatry, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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18
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Haywood D, Henry M, Dauer E, Lederman O, Farley M, Henneghan AM, O'Connor M, Jefford M, Rossell SL, Hart NH. Cancer-related cognitive impairment as a key contributor to psychopathology in cancer survivors: implications for prevention, treatment and supportive care. Support Care Cancer 2024; 32:480. [PMID: 38954104 PMCID: PMC11219369 DOI: 10.1007/s00520-024-08696-9] [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] [Received: 02/09/2024] [Accepted: 06/25/2024] [Indexed: 07/04/2024]
Abstract
A significant proportion of cancer survivors will experience some form of mental health compromise across domains including mood, anxiety, psychosis, eating disorders, and substance use. This psychopathology within cancer survivors is related to a range of negative outcomes and can also have a substantial negative impact on quality of life. Along with psychopathology, cognitive impairments are also commonly experienced, resulting in deficits in memory, reasoning, decision-making, speed of processing, and concentration, collectively referred to as cancer-related cognitive impairment (CRCI). Within the non-oncology literature, cognitive deficits are consistently demonstrated to be a key transdiagnostic aetiological feature of psychopathology, functionally contributing to the development and perpetuation of symptoms. Whilst there is an acknowledgement of the role mental health concerns might play in the development of and perception of CRCI, there has been limited acknowledgement and research exploring the potential for CRCI to functionally contribute toward the development of transdiagnostic psychopathology in cancer survivors beyond simply psychosocial distress. Given the theoretical and empirical evidence suggesting cognitive deficits to be an aetiological factor in psychopathology, we provide a rationale for the potential for CRCI to be a factor in the development and perpetuation of transdiagnostic psychopathology in cancer survivors. This potential functional association has significant implications for risk identification, prevention, treatment, and supportive cancer care approaches regarding psychopathology in cancer survivorship. We conclude by providing directions for future research in this area.
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Affiliation(s)
- Darren Haywood
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, 2030, Australia.
- Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.
- Department of Psychiatry, Melbourne Medical School, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia.
- School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
| | - Melissa Henry
- Department of Otolaryngology-Head and Neck Surgery, McGill University Health Centre, Montreal, QC, Canada
- Department of Oncology, McGill University Health Centre, Montreal, QC, Canada
- Lady Davis Research Institute, McGill University, Montreal, QC, Canada
- Research Institute of McGill University Health Centre, Montreal, QC, Canada
| | - Evan Dauer
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, 2030, Australia
- Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Oscar Lederman
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, 2030, Australia
- School of Health Science, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Morgan Farley
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, 2030, Australia
| | - Ashley M Henneghan
- School of Nursing, University of Texas at Austin, Austin, TX, USA
- Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA
| | - Moira O'Connor
- School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
| | - Michael Jefford
- Department of Health Services Research, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Australian Cancer Survivorship Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
| | - Susan L Rossell
- Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Nicolas H Hart
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Moore Park, Sydney, NSW, 2030, Australia
- Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia
- Exercise Medicine Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Cancer and Palliative Care Outcomes Centre, Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia
- Institute for Health Research, University of Notre Dame Australia, Perth, WA, Australia
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19
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Santamaría-García H, Migeot J, Medel V, Hazelton JL, Teckentrup V, Romero-Ortuno R, Piguet O, Lawor B, Northoff G, Ibanez A. Allostatic Interoceptive Overload Across Psychiatric and Neurological Conditions. Biol Psychiatry 2024:S0006-3223(24)01428-8. [PMID: 38964530 DOI: 10.1016/j.biopsych.2024.06.024] [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] [Received: 11/13/2023] [Revised: 06/10/2024] [Accepted: 06/19/2024] [Indexed: 07/06/2024]
Abstract
Emerging theories emphasize the crucial role of allostasis (anticipatory and adaptive regulation of the body's biological processes) and interoception (integration, anticipation, and regulation of internal bodily states) in adjusting physiological responses to environmental and bodily demands. In this review, we explore the disruptions in integrated allostatic interoceptive mechanisms in psychiatric and neurological disorders, including anxiety, depression, Alzheimer's disease, and frontotemporal dementia. We assess the biological mechanisms associated with allostatic interoception, including whole-body cascades, brain structure and function of the allostatic interoceptive network, heart-brain interactions, respiratory-brain interactions, the gut-brain-microbiota axis, peripheral biological processes (inflammatory, immune), and epigenetic pathways. These processes span psychiatric and neurological conditions and call for developing dimensional and transnosological frameworks. We synthesize new pathways to understand how allostatic interoceptive processes modulate interactions between environmental demands and biological functions in brain disorders. We discuss current limitations of the framework and future transdisciplinary developments. This review opens a new research agenda for understanding how allostatic interoception involves brain predictive coding in psychiatry and neurology, allowing for better clinical application and the development of new therapeutic interventions.
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Affiliation(s)
- Hernando Santamaría-García
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia; Hospital Universitario San Ignacio, Centro de Memoria y Cognición Intellectus, Bogotá, Colombia
| | - Joaquin Migeot
- Global Brain Health Institute, University California of San Francisco, San Francisco, California; Global Brain Health Institute, Trinity College of Dublin, Dublin, Ireland; Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile
| | - Vicente Medel
- Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile
| | - Jessica L Hazelton
- Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile; School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Vanessa Teckentrup
- School of Psychology and Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Roman Romero-Ortuno
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia; Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Olivier Piguet
- School of Psychology and Brain & Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Brian Lawor
- Pontificia Universidad Javeriana, PhD program of Neuroscience, Bogotá, Colombia
| | - George Northoff
- Institute of Mental Health Research, Mind, Brain Imaging and Neuroethics Research Unit, University of Ottawa, Ottawa, Ontario, Canada
| | - Agustin Ibanez
- Global Brain Health Institute, University California of San Francisco, San Francisco, California; Global Brain Health Institute, Trinity College of Dublin, Dublin, Ireland; Latin American Brain Health Institute, Universidad Adolfo Ibanez, Santiago, Chile; School of Psychology and Trinity Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
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20
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Juchem CM, Bendau A, Bandurski LC, Reich NJ, Baumgardt S, Asselmann E. Personality changes related to presence and treatment of substance use (disorders): a systematic review. Psychol Med 2024; 54:1905-1929. [PMID: 38644674 DOI: 10.1017/s003329172400093x] [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] [Indexed: 04/23/2024]
Abstract
Heavy substance use (SU) and substance use disorders (SUD) have complex etiologies and often severe consequences. Certain personality traits have been associated with an increased risk for SU(D), but far less is known about personality changes related to SU(D). This review aims to synthesize the existing literature on this research question. A systematic literature search was conducted from November 2022 to February 2023 in PubMed, EbscoHost, and Web of Science. Peer-reviewed original papers on SU(D)-related personality changes were included. Of 55 included studies, 38 were observational population-based studies and 17 were intervention studies. Overall, personality and SU measures, samples, study designs, and statistical approaches were highly heterogenous. In observational studies, higher SU was most consistently related to increases in impulsivity-related traits and (less so) neuroticism, while interventions in the context of SU(D) were mostly associated with increases in conscientiousness and self-efficacy and lasting decreases in neuroticism. Findings for traits related to extraversion, openness, conscientiousness, and agreeableness were mixed and depended on SU measure and age. Studies on bidirectional associations suggest that personality and SU(D) both influence each other over time. Due to their strong association with SU(D), impulsivity-related traits may be important target points for interventions. Future work may investigate the mechanisms underlying personality changes related to SU(D), distinguishing substance-specific effects from general SU(D)-related processes like withdrawal, craving, and loss of control. Furthermore, more research is needed to examine whether SU(D)-related personality changes vary by developmental stage and clinical features (e.g. initial use, onset, remission, and relapse).
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Affiliation(s)
- Christina M Juchem
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
| | - Antonia Bendau
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
- Department of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, CCM, Charitéplatz 1, 10117 Berlin, Germany
| | - Leonie C Bandurski
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
| | - Nico J Reich
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
| | - Saskia Baumgardt
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
| | - Eva Asselmann
- Department of Psychology, Institute for Mental Health and Behavioral Medicine, HMU Health and Medical University, Potsdam, Germany
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21
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Kajanoja J, Valtonen J. A Descriptive Diagnosis or a Causal Explanation? Accuracy of Depictions of Depression on Authoritative Health Organization Websites. Psychopathology 2024:1-10. [PMID: 38865990 DOI: 10.1159/000538458] [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: 09/25/2023] [Accepted: 03/12/2024] [Indexed: 06/14/2024]
Abstract
INTRODUCTION Psychiatric diagnoses are descriptive in nature, but the lay public commonly misconceives them as causal explanations. It is not known whether this logical error, a form of circular reasoning, can sometimes be mistakenly reinforced by health authorities themselves. In this study, we investigated the prevalence of misleading causal descriptions of depression in the information provided by authoritative mental health organizations on widely accessed internet sites. METHODS We searched for popular websites managed by leading mental health organizations and conducted a content analysis to evaluate whether they presented depression accurately as a description of symptoms, or inaccurately as a causal explanation. RESULTS Most websites used language that inaccurately described depression as a causal explanation to depressive symptoms. CONCLUSION Leading professional medical and psychiatric organizations commonly confound depression, a descriptive diagnostic label, with a causal explanation on their most prominently accessed informational websites. We argue that the scientifically inaccurate causal language in depictions of psychiatric diagnoses is potentially harmful because it leads the public to misunderstand the nature of mental health problems. Mental health authorities providing psychoeducation should clearly state that psychiatric diagnoses are purely descriptive to avoid misleading the public.
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Affiliation(s)
- Jani Kajanoja
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Jussi Valtonen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Theatre Academy, University of the Arts Helsinki, Helsinki, Finland
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22
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Rief W, Asmundson GJG, Bryant RA, Clark DM, Ehlers A, Holmes EA, McNally RJ, Neufeld CB, Wilhelm S, Jaroszewski AC, Berg M, Haberkamp A, Hofmann SG. The future of psychological treatments: The Marburg Declaration. Clin Psychol Rev 2024; 110:102417. [PMID: 38688158 DOI: 10.1016/j.cpr.2024.102417] [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: 09/28/2023] [Revised: 03/18/2024] [Accepted: 03/19/2024] [Indexed: 05/02/2024]
Abstract
Although psychological treatments are broadly recognized as evidence-based interventions for various mental disorders, challenges remain. For example, a substantial proportion of patients receiving such treatments do not fully recover, and many obstacles hinder the dissemination, implementation, and training of psychological treatments. These problems require those in our field to rethink some of our basic models of mental disorders and their treatments, and question how research and practice in clinical psychology should progress. To answer these questions, a group of experts of clinical psychology convened at a Think-Tank in Marburg, Germany, in August 2022 to review the evidence and analyze barriers for current and future developments. After this event, an overview of the current state-of-the-art was drafted and suggestions for improvements and specific recommendations for research and practice were integrated. Recommendations arising from our meeting cover further improving psychological interventions through translational approaches, improving clinical research methodology, bridging the gap between more nomothetic (group-oriented) studies and idiographic (person-centered) decisions, using network approaches in addition to selecting single mechanisms to embrace the complexity of clinical reality, making use of scalable digital options for assessments and interventions, improving the training and education of future psychotherapists, and accepting the societal responsibilities that clinical psychology has in improving national and global health care. The objective of the Marburg Declaration is to stimulate a significant change regarding our understanding of mental disorders and their treatments, with the aim to trigger a new era of evidence-based psychological interventions.
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Affiliation(s)
- Winfried Rief
- Philipps-University of Marburg, Department of Psychology, Clinical Psychology and Psychotherapy Group, Marburg, Germany.
| | | | - Richard A Bryant
- University of New South Wales, School of Psychology, Sydney, New South Wales, Australia
| | - David M Clark
- University of Oxford, Department of Experimental Psychology, Oxford, UK
| | - Anke Ehlers
- University of Oxford, Department of Experimental Psychology, Oxford, UK
| | - Emily A Holmes
- Uppsala University, Department of Women's and Children's Health, Uppsala, Sweden; Karolinska Institutet, Department of Clinical Neuroscience, Solna, Sweden
| | | | - Carmem B Neufeld
- University of São Paulo, Department of Psychology, Ribeirão Preto, SP, Brazil
| | - Sabine Wilhelm
- Massachusetts General Hospital and Harvard School of Medicine, Boston, USA
| | - Adam C Jaroszewski
- Massachusetts General Hospital and Harvard School of Medicine, Boston, USA
| | - Max Berg
- Philipps-University of Marburg, Department of Psychology, Clinical Psychology and Psychotherapy Group, Marburg, Germany
| | - Anke Haberkamp
- Philipps-University of Marburg, Department of Psychology, Clinical Psychology and Psychotherapy Group, Marburg, Germany
| | - Stefan G Hofmann
- Philipps-University of Marburg, Department of Psychology, Translational Clinical Psychology Group, Marburg, Germany
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Quirin M, Malekzad F, Jais M, Kehr H, Ennis M. Heart rate variability and psychological health: The key role of trait emotional awareness. Acta Psychol (Amst) 2024; 246:104252. [PMID: 38677024 DOI: 10.1016/j.actpsy.2024.104252] [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: 11/15/2023] [Revised: 03/19/2024] [Accepted: 04/08/2024] [Indexed: 04/29/2024] Open
Abstract
Studies have shown that Trait Emotional Awareness (TEA) - the ability to recognize one's emotions - and Heart Rate Variability (HRV) are both negatively associated with psychological disorders. Although these studies imply that TEA is related to HRV and may explain the association between HRV and psychological disorders, there is limited research investigating this implication. Such investigation is essential to illuminate the psychophysiological processes linked to psychological disorders. The present study aims to investigate a) the association between TEA and HRV, b) the association between HRV and psychological disorders, and c) whether TEA explains the association between HRV and psychological disorders. A sample of 41 German students completed self-report questionnaires as indicators of psychological disorders, including the Hospital Anxiety and Depression Scale (HADS; Snaith & Zigmond, 1983) for anxiousness and depressiveness, as well as the somatization scale of the Hopkins Symptom Checklist (HSCL; Derogatis et al., 1976) for physical complaints. HRV was measured at baseline (resting HRV) and during exposure to a fear-provoking movie clip (reactive HRV). As hypothesized, a) TEA showed a positive association with reactive HRV, b) HRV showed negative associations with anxiousness and physical complaints, and c) TEA explained the relationships between reactive HRV and anxiousness, as well as physical complaints. Contrary to our hypothesis, we did not find any association between HRV and depressiveness. We discussed the contribution of TEA to psychophysiological health, limited generalizability of the current study, and direct future research to explore the underlying mechanisms linking TEA to health.
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Affiliation(s)
- Markus Quirin
- Technical University of Munich, Germany; PFH Göttingen, Germany.
| | - Farhood Malekzad
- Technical University of Munich, Germany; PFH Göttingen, Germany.
| | | | - Hugo Kehr
- Technical University of Munich, Germany.
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Bauer B, Norel R, Leow A, Rached ZA, Wen B, Cecchi G. Using Large Language Models to Understand Suicidality in a Social Media-Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts. JMIR Ment Health 2024; 11:e57234. [PMID: 38771256 PMCID: PMC11112053 DOI: 10.2196/57234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 05/22/2024] Open
Abstract
Background Rates of suicide have increased by over 35% since 1999. Despite concerted efforts, our ability to predict, explain, or treat suicide risk has not significantly improved over the past 50 years. Objective The aim of this study was to use large language models to understand natural language use during public web-based discussions (on Reddit) around topics related to suicidality. Methods We used large language model-based sentence embedding to extract the latent linguistic dimensions of user postings derived from several mental health-related subreddits, with a focus on suicidality. We then applied dimensionality reduction to these sentence embeddings, allowing them to be summarized and visualized in a lower-dimensional Euclidean space for further downstream analyses. We analyzed 2.9 million posts extracted from 30 subreddits, including r/SuicideWatch, between October 1 and December 31, 2022, and the same period in 2010. Results Our results showed that, in line with existing theories of suicide, posters in the suicidality community (r/SuicideWatch) predominantly wrote about feelings of disconnection, burdensomeness, hopeless, desperation, resignation, and trauma. Further, we identified distinct latent linguistic dimensions (well-being, seeking support, and severity of distress) among all mental health subreddits, and many of the resulting subreddit clusters were in line with a statistically driven diagnostic classification system-namely, the Hierarchical Taxonomy of Psychopathology (HiTOP)-by mapping onto the proposed superspectra. Conclusions Overall, our findings provide data-driven support for several language-based theories of suicide, as well as dimensional classification systems for mental health disorders. Ultimately, this novel combination of natural language processing techniques can assist researchers in gaining deeper insights about emotions and experiences shared on the web and may aid in the validation and refutation of different mental health theories.
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Affiliation(s)
- Brian Bauer
- Department of Psychology, University of Georgia, Athens, GA, United States
| | - Raquel Norel
- Digital Health, IBM Research, New York, NY, United States
| | - Alex Leow
- Department of Psychiatry, University of Illinois Chicago, Chicago, IL, United States
- Department of Biomedical Engineering and Computer Science, University of Illinois Chicago, Chicago, IL, United States
| | | | - Bo Wen
- Digital Health, IBM Research, New York, NY, United States
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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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Haywood D, Kotov R, Krueger RF, Wright AGC, Forbes MK, Dauer E, Baughman FD, Rossell SL, Hart NH. Is it time to discard the Diagnostic and Statistical Manual of Mental Disorders (DSM) in psycho-oncology? Cancer Lett 2024; 589:216818. [PMID: 38554804 DOI: 10.1016/j.canlet.2024.216818] [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: 02/26/2024] [Revised: 03/12/2024] [Accepted: 03/12/2024] [Indexed: 04/02/2024]
Abstract
The conceptual basis of psychopathology within cancer survivorship is critical, as the chosen conceptualisation informs assessment and explanatory models, as well as interventions and supportive care approaches. The validity of a chosen conceptualisation of psychopathology is therefore paramount for ensuring cancer survivors receive high-quality and efficacious care and support that can be iteratively improved via coordinated research efforts. In this paper, we discuss the traditional diagnostic approach to conceptualising psychopathology within cancer care, including the diagnostic system the 'Diagnostic and Statistical Manual of Mental Disorders' (DSM) [1], and the significant issues it presents within cancer survivorship. We detail and discuss how an alternate conceptualisation of psychopathology may enhance both research and practice within psycho-oncology. We ultimately pose, and provide our perspective, on the question "Is it Time to Discard the DSM in Psycho-Oncology?"
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Affiliation(s)
- Darren Haywood
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia; Department of Psychiatry, Melbourne Medical School, Dentistry and Health Sciences, University of Melbourne, Parkville, VIC, Australia; School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia.
| | - Roman Kotov
- Department of Psychiatry & Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Aidan G C Wright
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Eisenberg Family Depression Center, University of Michigan, Ann Arbor, MI, USA
| | - Miriam K Forbes
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Evan Dauer
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia
| | - Frank D Baughman
- School of Population Health, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia
| | - Susan L Rossell
- Department of Mental Health, St. Vincent's Hospital Melbourne, Fitzroy, VIC, Australia; Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia
| | - Nicolas H Hart
- Human Performance Research Centre, INSIGHT Research Institute, Faculty of Health, University of Technology Sydney (UTS), Sydney, NSW, Australia; Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, SA, Australia; Exercise Medicine Research Institute, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia; Cancer and Palliative Care Outcomes Centre, Faculty of Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia; Institute for Health Research, University of Notre Dame Australia, Perth, WA, Australia
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27
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Grot S, Smine S, Potvin S, Darcey M, Pavlov V, Genon S, Nguyen H, Orban P. Label-based meta-analysis of functional brain dysconnectivity across mood and psychotic disorders. Prog Neuropsychopharmacol Biol Psychiatry 2024; 131:110950. [PMID: 38266867 DOI: 10.1016/j.pnpbp.2024.110950] [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: 06/02/2023] [Revised: 11/11/2023] [Accepted: 01/17/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (rsfMRI) studies have revealed patterns of functional brain dysconnectivity in psychiatric disorders such as major depression disorder (MDD), bipolar disorder (BD) and schizophrenia (SZ). Although these disorders have been mostly studied in isolation, there is mounting evidence of shared neurobiological alterations across them. METHODS To uncover the nature of the relatedness between these psychiatric disorders, we conducted an innovative meta-analysis of dysconnectivity findings reported separately in MDD, BD and SZ. Rather than relying on a classical voxel level coordinate-based approach, our procedure extracted relevant neuroanatomical labels from text data and examined findings at the whole brain network level. Data were drawn from 428 rsfMRI studies investigating MDD (158 studies, 7429 patients/7414 controls), BD (81 studies, 3330 patients/4096 patients) and/or SZ (223 studies, 11,168 patients/11,754 controls). Permutation testing revealed commonalities and differences in hypoconnectivity and hyperconnectivity patterns across disorders. RESULTS Hypoconnectivity and hyperconnectivity patterns of higher-order cognitive (default-mode, fronto-parietal, cingulo-opercular) networks were similarly observed across the three disorders. By contrast, dysconnectivity of lower-order (somatomotor, visual, auditory) networks in some cases differed between disorders, notably dissociating SZ from BD and MDD. CONCLUSIONS Findings suggest that functional brain dysconnectivity of higher-order cognitive networks is largely transdiagnostic in nature while that of lower-order networks may best discriminate between mood and psychotic disorders, thus emphasizing the relevance of motor and sensory networks to psychiatric neuroscience.
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Affiliation(s)
- Stéphanie Grot
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Salima Smine
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Stéphane Potvin
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Maëliss Darcey
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Vilena Pavlov
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada
| | - Sarah Genon
- Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Hien Nguyen
- School of Mathematics and Physics, University of Queensland, St. Lucia, Queensland, Australia; Department of Mathematics and Statistics, Latrobe University, Melbourne, Victoria, Australia
| | - Pierre Orban
- Research Center, Montreal University Institute for Mental Health, Montréal, Québec, Canada; Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada.
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28
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Keidel K, Lu X, Suzuki S, Murawski C, Ettinger U. Association of temporal discounting with transdiagnostic symptom dimensions. NPJ MENTAL HEALTH RESEARCH 2024; 3:13. [PMID: 38627606 PMCID: PMC11021403 DOI: 10.1038/s44184-024-00060-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/15/2024] [Indexed: 04/19/2024]
Abstract
Temporal discounting (TD), the tendency to devalue future rewards as a function of delay until receipt, is aberrant in many mental disorders. Identifying symptom patterns and transdiagnostic dimensions associated with TD could elucidate mechanisms responsible for clinically impaired decision-making and facilitate identifying intervention targets. Here, we tested in a general population sample (N = 731) the extent to which TD was related to different symptom patterns and whether effects of time framing (dates/delay units) and monetary magnitude (large/small) had particularly strong effects in people scoring higher on specific symptom patterns. Analyses revealed that TD was related to symptom patterns loading on anxious-depression and inattention-impulsivity-overactivity dimensions. Moreover, TD was lower in the date than the delay version and with higher magnitudes, especially in people scoring higher on the inattention-impulsivity-overactivity dimension. Overall, this study provides evidence for TD as a transdiagnostic process across affective and impulsivity-related dimensions. Future studies should test framing interventions in clinical populations characterized by impulsivity.Preregistration: This research was preregistered at https://osf.io/fg9sc .
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Affiliation(s)
- Kristof Keidel
- Department of Psychology, University of Bonn, Bonn, Germany
- Centre for Brain, Mind and Markets, Department of Finance, The University of Melbourne, Carlton, Vic, Australia
| | - Xiaping Lu
- Centre for Brain, Mind and Markets, Department of Finance, The University of Melbourne, Carlton, Vic, Australia
| | - Shinsuke Suzuki
- Centre for Brain, Mind and Markets, Department of Finance, The University of Melbourne, Carlton, Vic, Australia
- Faculty of Social Data Science, Hitotsubashi University, Tokyo, Japan
- HIAS Brain Research Center, Hitotsubashi University, Tokyo, Japan
| | - Carsten Murawski
- Centre for Brain, Mind and Markets, Department of Finance, The University of Melbourne, Carlton, Vic, Australia
| | - Ulrich Ettinger
- Department of Psychology, University of Bonn, Bonn, Germany.
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Piqueras JA, Falcó R, Rico-Bordera P, Canals J, Espinosa-Fernández L, Vivas-Fernández M, Garcia-Lopez LJ. Identifying Adolescents at Risk for Emotional Disorders with Latent Profile Analysis: A Personalized, Transdiagnostic Preventive Intervention. Child Psychiatry Hum Dev 2024:10.1007/s10578-024-01689-z. [PMID: 38605162 DOI: 10.1007/s10578-024-01689-z] [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] [Accepted: 02/24/2024] [Indexed: 04/13/2024]
Abstract
It can be challenging to assign patients to the appropriate intervention programs, as risk and protective factors for developing emotional disorders are multiple and shared across disorders. This study aimed to provide a theoretical and empirical approach to identify and categorise adolescents into different levels of severity. The risk of developing emotional symptoms was assessed in 1425 Spanish adolescents (M = 14.34, SD = 1.76; 59.9% women). Latent Profile Analysis (LPA) was conducted to identify subgroups based on their emotional symptom severity, risk, and resilience factors. Results revealed four profiles: at low risk (emotionally healthy), moderate risk (for selective interventions), high risk (for indicated interventions), and severe risk (for clinical referral). Older age and especially female gender were predictors of higher risk clusters, and there were differences in the levels of psychopathology and health-related quality of life across clusters. Identification of at-risk adolescents for emotional disorders by means of LPA may contribute to designing personalised and tailored prevention programs that match adolescents' specific needs.
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Affiliation(s)
- José A Piqueras
- Division of Personality, Assessment and Psychological Treatment, Department of Health Psychology, Miguel Hernández University (UMH), 03202, Elche, Spain
| | - Raquel Falcó
- Division of Personality, Assessment and Psychological Treatment, Department of Health Psychology, Miguel Hernández University (UMH), 03202, Elche, Spain
| | - Pilar Rico-Bordera
- Division of Personality, Assessment and Psychological Treatment, Department of Health Psychology, Miguel Hernández University (UMH), 03202, Elche, Spain.
| | - Josefa Canals
- Department of Psychology, Research Centre for Behavioral Assessment (CRAMC), Universitat Rovira i Virgili (URV), Tarragona, Spain
| | | | - Manuel Vivas-Fernández
- Division of Clinical Psychology, Department of Psychology, University of Jaen, Jaen, Spain
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Davis CN, Khan Y, Toikumo S, Jinwala Z, Boomsma DI, Levey DF, Gelernter J, Kember RL, Kranzler HR. A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.06.24305166. [PMID: 38645045 PMCID: PMC11030494 DOI: 10.1101/2024.04.06.24305166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
There is considerable comorbidity across externalizing and internalizing behavior dimensions of psychopathology. We applied genomic structural equation modeling (gSEM) to genome-wide association study (GWAS) summary statistics to evaluate the factor structure of externalizing and internalizing psychopathology across 16 traits and disorders among European-ancestry individuals (n's = 16,400 to 1,074,629). We conducted GWAS on factors derived from well-fitting models. Downstream analyses served to identify biological mechanisms, explore drug repurposing targets, estimate genetic overlap between the externalizing and internalizing spectra, and evaluate causal effects of psychopathology liability on physical health. Both a correlated factors model, comprising two factors of externalizing and internalizing risk, and a higher-order single-factor model of genetic effects contributing to both spectra demonstrated acceptable fit. GWAS identified 409 lead single nucleotide polymorphisms (SNPs) associated with externalizing and 85 lead SNPs associated with internalizing, while the second-order GWAS identified 256 lead SNPs contributing to broad psychopathology risk. In bivariate causal mixture models, nearly all externalizing and internalizing causal variants overlapped, despite a genetic correlation of only 0.37 (SE = 0.02) between them. Externalizing genes showed cell-type specific expression in GABAergic, cortical, and hippocampal neurons, and internalizing genes were associated with reduced subcallosal cortical volume, providing insight into the neurobiological underpinnings of psychopathology. Genetic liability for externalizing, internalizing, and broad psychopathology exerted causal effects on pain, general health, cardiovascular diseases, and chronic illnesses. These findings underscore the complex genetic architecture of psychopathology, identify potential biological pathways for the externalizing and internalizing spectra, and highlight the physical health burden of psychiatric comorbidity.
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Affiliation(s)
- Christal N. Davis
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Yousef Khan
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Sylvanus Toikumo
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Zeal Jinwala
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Dorret I. Boomsma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, The Netherlands and Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Daniel F. Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare Center, West Haven, CT, USA
| | - Joel Gelernter
- VA Connecticut Healthcare Center, West Haven, CT, USA
- Departments of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, New Haven, CT, USA
| | - Rachel L. Kember
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Henry R. Kranzler
- Mental Illness Research, Education and Clinical Center, Crescenz VAMC, Philadelphia, PA, USA
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
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Davis C, Khan Y, Toikumo S, Jinwala Z, Boomsma D, Levey D, Gelernter J, Kember R, Kranzler H. A Multivariate Genome-Wide Association Study Reveals Neural Correlates and Common Biological Mechanisms of Psychopathology Spectra. RESEARCH SQUARE 2024:rs.3.rs-4228593. [PMID: 38659902 PMCID: PMC11042423 DOI: 10.21203/rs.3.rs-4228593/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
There is considerable comorbidity across externalizing and internalizing behavior dimensions of psychopathology. We applied genomic structural equation modeling (gSEM) to genome-wide association study (GWAS) summary statistics to evaluate the factor structure of externalizing and internalizing psychopathology across 16 traits and disorders among European-ancestry individuals (n's = 16,400 to 1,074,629). We conducted GWAS on factors derived from well-fitting models. Downstream analyses served to identify biological mechanisms, explore drug repurposing targets, estimate genetic overlap between the externalizing and internalizing spectra, and evaluate causal effects of psychopathology liability on physical health. Both a correlated factors model, comprising two factors of externalizing and internalizing risk, and a higher-order single-factor model of genetic effects contributing to both spectra demonstrated acceptable t. GWAS identified 409 lead single nucleotide polymorphisms (SNPs) associated with externalizing and 85 lead SNPs associated with internalizing, while the second-order GWAS identified 256 lead SNPs contributing to broad psychopathology risk. In bivariate causal mixture models, nearly all externalizing and internalizing causal variants overlapped, despite a genetic correlation of only 0.37 (SE = 0.02) between them. Externalizing genes showed cell-type specific expression in GABAergic, cortical, and hippocampal neurons, and internalizing genes were associated with reduced subcallosal cortical volume, providing insight into the neurobiological underpinnings of psychopathology. Genetic liability for externalizing, internalizing, and broad psychopathology exerted causal effects on pain, general health, cardiovascular diseases, and chronic illnesses. These findings underscore the complex genetic architecture of psychopathology, identify potential biological pathways for the externalizing and internalizing spectra, and highlight the physical health burden of psychiatric comorbidity.
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Affiliation(s)
| | - Yousef Khan
- University of Pennsylvania Perelman School of Medicine
| | | | - Zeal Jinwala
- University of Pennsylvania Perelman School of Medicine
| | - D Boomsma
- Vrije Universiteit Amsterdam, The Netherlands
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Csukly G, Tombor L, Hidasi Z, Csibri E, Fullajtár M, Huszár Z, Koszovácz V, Lányi O, Vass E, Koleszár B, Kóbor I, Farkas K, Rosenfeld V, Berente DB, Bolla G, Kiss M, Kamondi A, Horvath AA. Low Functional network integrity in cognitively unimpaired and MCI subjects with depressive symptoms: results from a multi-center fMRI study. Transl Psychiatry 2024; 14:179. [PMID: 38580625 PMCID: PMC10997664 DOI: 10.1038/s41398-024-02891-2] [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: 09/21/2023] [Revised: 03/19/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024] Open
Abstract
Evidence suggests that depressive symptomatology is a consequence of network dysfunction rather than lesion pathology. We studied whole-brain functional connectivity using a Minimum Spanning Tree as a graph-theoretical approach. Furthermore, we examined functional connectivity in the Default Mode Network, the Frontolimbic Network (FLN), the Salience Network, and the Cognitive Control Network. All 183 elderly subjects underwent a comprehensive neuropsychological evaluation and a 3 Tesla brain MRI scan. To assess the potential presence of depressive symptoms, the 13-item version of the Beck Depression Inventory (BDI) or the Geriatric Depression Scale (GDS) was utilized. Participants were assigned into three groups based on their cognitive status: amnestic mild cognitive impairment (MCI), non-amnestic MCI, and healthy controls. Regarding affective symptoms, subjects were categorized into depressed and non-depressed groups. An increased mean eccentricity and network diameter were found in patients with depressive symptoms relative to non-depressed ones, and both measures showed correlations with depressive symptom severity. In patients with depressive symptoms, a functional hypoconnectivity was detected between the Anterior Cingulate Cortex (ACC) and the right amygdala in the FLN, which impairment correlated with depressive symptom severity. While no structural difference was found in subjects with depressive symptoms, the volume of the hippocampus and the thickness of the precuneus and the entorhinal cortex were decreased in subjects with MCI, especially in amnestic MCI. The increase in eccentricity and diameter indicates a more path-like functional network configuration that may lead to an impaired functional integration in depression, a possible cause of depressive symptomatology in the elderly.
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Affiliation(s)
- Gabor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary.
| | - László Tombor
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zoltan Hidasi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Eva Csibri
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Máté Fullajtár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zsolt Huszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Vanda Koszovácz
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Orsolya Lányi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Edit Vass
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Boróka Koleszár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - István Kóbor
- Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Katalin Farkas
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Viktoria Rosenfeld
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Dalida Borbála Berente
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
| | - Gergo Bolla
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Measurement and Information Systems, University of Technology and Economics, Budapest, Hungary
| | - Mate Kiss
- Siemens Healthcare, Budapest, Hungary
| | - Anita Kamondi
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Andras Attila Horvath
- Neurocognitive Research Center, Budapest, National Institute of Mental Health, Neurology, and Neurosurgery, Budapest, Hungary
- Department of Anatomy Histology and Embryology, Semmelweis University, Budapest, Hungary
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McNally RJ. Psychological Clinical Science: Meeting the Challenge of Public Mental Health. CLINICAL PSYCHOLOGY IN EUROPE 2024; 6:e12067. [PMID: 39118647 PMCID: PMC11303935 DOI: 10.32872/cpe.12067] [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: 05/15/2023] [Accepted: 07/28/2023] [Indexed: 08/10/2024] Open
Abstract
The purpose of this article is to provide a brief overview of how clinical psychology evolved in the United States as a prelude to discussing the emergence of psychological clinical science in the closing years of the 20th century. Despite the growth of clinical psychology, mental disorders remain highly prevalent, compelling us to envision new ways to deliver services in an effective but efficient manner. Topics include the dissemination gap, the affordable access gap, and the Psychological Clinical Science Accreditation System (PCSAS). Examples of novel methods for addressing the problem of public mental health in the 21st century are discussed. Finally, I close by considering the potential relevance of our experience in America for European clinical psychology.
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Basterfield C, Fitzsimmons-Craft EE, Taylor CB, Eisenberg D, Wilfley DE, Newman MG. Internalizing psychopathology and its links to suicidal ideation, dysfunctional attitudes, and help-seeking readiness in a national sample of college students. J Affect Disord 2024; 350:255-263. [PMID: 38224742 PMCID: PMC11057016 DOI: 10.1016/j.jad.2024.01.058] [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: 09/20/2023] [Revised: 12/16/2023] [Accepted: 01/04/2024] [Indexed: 01/17/2024]
Abstract
BACKGROUND Recent evidence suggests that multiple emotional disorders may be better assessed using dimensional models of psychopathology. The current study utilized a cross-sectional population survey of college students (N = 8613 participants) to examine the extent to which broad psychopathology factors accounted for specific associations between emotional problems and clinical and behavioral validators: suicidality, dysfunctional attitudes, and treatment seeking. METHODS Confirmatory factor models were estimated to identify the best structure of psychopathology. Models were then estimated to examine the broad and specific associations between each psychopathology indicator and the clinical and behavioral validators. RESULTS The hierarchical model of psychopathology with internalizing problems at the top, fear, and distress at the second level, and five specific symptom dimensions at the third level evidenced the best fit. The associations between symptom indicators of psychopathology and clinical and behavioral validators were relatively small and inconsistent. Instead, much of the association between clinical and behavioral validators and emotional problems operated at a higher-order level. LIMITATIONS The cross-sectional nature of the survey precludes the ability to make conclusions regarding causality. CONCLUSIONS Researchers should focus on investigating the shared or common components across emotional disorders, particularly concerning individuals presenting with higher rates of suicidal ideation dysfunctional attitudes, and help-seeking behavior. Using higher-order dimensions of psychopathology could simplify the complex presentation of multiple co-occurring disorders and suggest valid constructs for future investigations.
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Figuracion MT, Kozlowski MB, Macknyk KS, Heise MB, Pieper SM, Alperin BR, Morton HE, Nigg JT, Karalunas SL. The Relationship Between Emotion Dysregulation and Error Monitoring in Adolescents with ADHD. Res Child Adolesc Psychopathol 2024; 52:605-620. [PMID: 37843650 DOI: 10.1007/s10802-023-01127-z] [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] [Accepted: 09/12/2023] [Indexed: 10/17/2023]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is emblematic of the limitations of existing diagnostic categories. One potential solution, consistent with the Research Domain Criteria (RDoC) initiative, is to interrogate psychological mechanisms at the behavioral and physiological level together to try and identify meaningful subgroups within existing categories. Such approaches provide a way to revise diagnostic boundaries and clarify individual variation in mechanisms. Here, we illustrate this approach to help resolve heterogeneity in ADHD using a combination of behaviorally-rated temperament measures from the Early Adolescent Temperament Questionnaire; cognitive performance on three difference conditions of an emotional go/no-go task; and electroencephalogram (EEG)-measured variation in multiple stages of error processing, including the error-related negativity (ERN) and positivity (Pe). In a large (N = 342), well-characterized sample of adolescents with ADHD, latent profile analysis identified two ADHD temperament subgroups: 1) emotionally regulated and 2) emotionally dysregulated (with high negative affect). Cognitive and EEG assessment in a subset of 272 adolescents (nADHD = 151) found that the emotionally dysregulated group showed distinct patterns of change in early neural response to errors (ERN) across emotional task conditions as compared to emotionally-regulated ADHD adolescents and typically-developing controls. Both ADHD groups showed blunted later response to errors (Pe) that was stable across emotional task conditions. Overall, neural response patterns identified important differences in how trait and state emotion interact to affect cognitive processing. Results highlight important temperament variation within ADHD that helps clarify its relationship to the ERN, one of the most prominent putative neural biomarkers for psychopathology.
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Affiliation(s)
| | - Michael B Kozlowski
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Katelyn S Macknyk
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Madelyn B Heise
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Sarah M Pieper
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
| | - Brittany R Alperin
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Hannah E Morton
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Joel T Nigg
- Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA
| | - Sarah L Karalunas
- Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
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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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37
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Ormel J, Vos M, Laceulle OM, Vrijen C, van der Laan CM, Nolte IM, Hartman CA. Distal-to-proximal etiologically relevant variables associated with the general (p) and specific factors of psychopathology. J Child Psychol Psychiatry 2024. [PMID: 38503697 DOI: 10.1111/jcpp.13979] [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] [Accepted: 01/24/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND The general factor of psychopathology, often denoted as p, captures the common variance among a broad range of psychiatric symptoms. Specific factors are co-modeled based on subsets of closely related symptoms. This paper investigated the extent to which wide-ranging genetic, personal, and environmental etiologically relevant variables are associated with p and specific psychopathology factors. METHODS Using data from four waves (ages 11-19) of TRAILS, we modeled a bifactor model of p and four specific factors [internalizing, externalizing, ADHD, Autism Spectrum Disorder (ASD)]. Next, we examined the associations of 19 etiologically relevant variables with these psychology factors using path models that organized the variables according to the distal-to-proximal risk principle. RESULTS Collectively, the etiologically relevant factors, including temperament traits, accounted for 55% of p's variance, 46% in ADHD, 35% in externalizing, 19% in internalizing, and 7% in ASD. The low 7% is due to insufficient unique variance in ASD indicators that load more strongly on p. Excluding temperament, variables accounted for 29% variance in p, 9% ADHD, 14% EXT, 7% INT, and 4% ASD. Most etiologically relevant factors were generic, predicting p. In addition, we identified effects on specific factors in addition to effects on p (e.g., parental SES, executive functioning); only effects on specific factors (e.g., parental rejection); opposite effects on different factors [e.g., diurnal cortisol (high INT but low EXT, p); developmental delay (high ASD and p but low EXT)]. Frustration, family functioning, parental psychopathology, executive functioning, and fearfulness had strong effects on p. CONCLUSIONS (1) Strong generic effects on p suggest that etiologically relevant factors and psychopathology tend to cluster in persons. (2) While many factors predict p, additional as well as opposite effects on specific factors indicate the relevance of specific psychopathology factors in understanding mental disorder. (3) High frustration, neurodevelopmental problems, and a disadvantaged family environment primarily characterize p.
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Affiliation(s)
- Jonah Ormel
- Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Melissa Vos
- Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
| | - Odilia M Laceulle
- Department of Developmental Psychology, Utrecht University, Utrecht, The Netherlands
| | - Charlotte Vrijen
- Department of Developmental Psychology, University of Groningen, Groningen, The Netherlands
| | - Camiel M van der Laan
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Catharina A Hartman
- Department of Psychiatry, University Medical Center Groningen, Groningen, The Netherlands
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38
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Hyde LW, Bezek JL, Michael C. The future of neuroscience in developmental psychopathology. Dev Psychopathol 2024:1-16. [PMID: 38444150 DOI: 10.1017/s0954579424000233] [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: 03/07/2024]
Abstract
Developmental psychopathology started as an intersection of fields and is now a field itself. As we contemplate the future of this field, we consider the ways in which a newer, interdisciplinary field - human developmental neuroscience - can inform, and be informed by, developmental psychopathology. To do so, we outline principles of developmental psychopathology and how they are and/or can be implemented in developmental neuroscience. In turn, we highlight how the collaboration between these fields can lead to richer models and more impactful translation. In doing so, we describe the ways in which models from developmental psychopathology can enrich developmental neuroscience and future directions for developmental psychopathology.
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Affiliation(s)
- Luke W Hyde
- Department of Psychology, Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Jessica L Bezek
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Cleanthis Michael
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
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39
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Wolf EJ, Higgins DM, Zhao X, Hawn SE, Sanborn V, Todd CA, Fein-Schaffer D, Houranieh A, Miller MW. MMPI-2-RF Profiles of Treatment-Seeking Veterans in a VA Pain Clinic and Associations with Markers of Physical Performance. J Clin Psychol Med Settings 2024; 31:58-76. [PMID: 37418093 PMCID: PMC10771538 DOI: 10.1007/s10880-023-09967-z] [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] [Accepted: 06/15/2023] [Indexed: 07/08/2023]
Abstract
Chronic pain is a debilitating condition for many military Veterans and is associated with posttraumatic stress disorder (PTSD). This study examined the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) in 144 Veterans (88.2% male, mean age = 57.95 years) recruited from a VA outpatient pain clinic and associations with self-reported pain severity, pain-related interference in daily activities, prescription opioid use, and objective metrics of physical performance on tasks impacted by pain (walking, stair climbing, grip strength, indexed by a single latent variable). Among the cohort with valid responses on the MMPI-2-RF (n = 117) and probable PTSD, mean Somatic Complaints (RC1) and Ideas of Persecution (RC6) scores were clinically elevated. All MMPI-2-RF scales were more strongly correlated with self-reported pain interference than severity. Regressions revealed associations between self-rated pain interference (but not pain or PTSD severity) and physical performance scores (β = .36, p = .001). MMPI-2-RF overreporting Validity and Higher-Order scales contributed incremental variance in predicting physical performance, including Infrequent Psychopathology Responses (β = .33, p = .002). PTSD severity was associated with prescription opioid use when accounting for the effects of over-reported somatic and cognitive symptoms (odds ratio 1.05, p ≤ .025). Results highlight the role of symptom overreporting and perceptions of functional impairment to observable behaviors among individuals with chronic pain.
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Affiliation(s)
- Erika J Wolf
- National Center for PTSD at VA Boston Healthcare System, Boston, USA.
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA.
| | - Diana M Higgins
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
- VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
| | - Xiang Zhao
- National Center for PTSD at VA Boston Healthcare System, Boston, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
| | - Sage E Hawn
- National Center for PTSD at VA Boston Healthcare System, Boston, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
- Department of Psychology, Old Dominion University, Norfolk, USA
| | - Victoria Sanborn
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
- VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
- Rhode Island Hospital, The Warren Alpert Medical School of Brown University, Providence, USA
| | - Catherine A Todd
- VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
| | | | - Antoun Houranieh
- VA Boston Healthcare System, 150 South Huntington Ave (116B-2), Boston, MA, 02130, USA
| | - Mark W Miller
- National Center for PTSD at VA Boston Healthcare System, Boston, USA
- Department of Psychiatry, Boston University Chobanian and Avedisian School of Medicine, Boston, USA
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Halladay J, Georgiades K, MacKillop J, Lipman E, Pires P, Duncan L. Identifying patterns of substance use and mental health concerns among adolescents in an outpatient mental health program using latent profile analysis. Eur Child Adolesc Psychiatry 2024; 33:739-747. [PMID: 36947251 PMCID: PMC10031175 DOI: 10.1007/s00787-023-02188-7] [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: 10/31/2022] [Accepted: 03/08/2023] [Indexed: 03/23/2023]
Abstract
Though mental health and substance use concerns often co-occur, few studies have characterized patterns of co-occurrence among adolescents in clinical settings. The current investigation identifies and characterizes these patterns among adolescents presenting to an outpatient mental health service in Ontario, Canada. Data come from cross-sectional standardized patient intake assessments from 916 adolescents attending an outpatient mental health program (January 2019-March 2021). Latent profile analysis identified patterns of substance use (alcohol, cannabis, (e-) cigarettes) and emotional and behavioral disorder symptoms. Sociodemographic and clinical correlates of these patterns were examined using multinomial regression. Three profiles were identified including: 1) low substance use and lower frequency and/or severity (relative to other patients in the sample) emotional and behavioral disorder symptoms (26.2%), 2) low substance use with higher emotional and behavioral disorder symptoms (48.2%), and 3) high in both (25.6%). Profiles differed in sociodemographic and clinical indicators related to age, gender, trauma, harm to self, harm to others, and service use. Experiences of trauma, suicide attempts, and thoughts of hurting others increased the odds of adolescents being in the profile high in both substance use and symptoms compared to other profiles. These findings further document the high rates of substance use in adolescents in mental health treatment and the profiles generally map onto three out of four quadrants in the adapted four-quadrant model of concurrent disorders, indicating the importance of assessing and addressing substance use in these settings.
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Affiliation(s)
- Jillian Halladay
- The Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Australia Level 6, Jane Foss Russell Building, G02, Camperdown, NSW, 2006, Australia.
- The Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, 100 West 5Th St, Hamilton, ON, L8N 3K7, Canada.
| | - Katholiki Georgiades
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4S4, Canada
- Offord Centre for Child Studies, McMaster University, Hamilton, Canada
| | - James MacKillop
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4S4, Canada
- The Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, 100 West 5Th St, Hamilton, ON, L8N 3K7, Canada
| | - Ellen Lipman
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4S4, Canada
- Offord Centre for Child Studies, McMaster University, Hamilton, Canada
| | - Paulo Pires
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4S4, Canada
- Offord Centre for Child Studies, McMaster University, Hamilton, Canada
| | - Laura Duncan
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, 1280 Main Street West, Hamilton, ON, L8S 4S4, Canada
- Offord Centre for Child Studies, McMaster University, Hamilton, Canada
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Harris JL, Swanson B, Petersen IT. A Developmentally Informed Systematic Review and Meta-Analysis of the Strength of General Psychopathology in Childhood and Adolescence. Clin Child Fam Psychol Rev 2024; 27:130-164. [PMID: 38112921 PMCID: PMC10938301 DOI: 10.1007/s10567-023-00464-1] [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] [Accepted: 11/06/2023] [Indexed: 12/21/2023]
Abstract
Considerable support exists for higher-order dimensional conceptualizations of psychopathology in adults. A growing body of work has focused on understanding the structure of general and specific psychopathology in children and adolescents. No prior meta-analysis has examined whether the strength of the general psychopathology factor (p factor)-measured by explained common variance (ECV)-changes from childhood to adolescence. The primary objective of this multilevel meta-analysis was to determine whether general psychopathology strength changes across development (i.e. across ages) in childhood and adolescence. Several databases were searched in November 2021; 65 studies, with 110 effect sizes (ECV), nested within shared data sources, were identified. Included empirical studies used a factor analytic modeling approach that estimated latent factors for child/adolescent internalizing, externalizing, and optionally thought-disordered psychopathology, and a general factor. Studies spanned ages 2-17 years. Across ages, general psychopathology explained over half (~ 56%) of the reliable variance in symptoms of psychopathology. Age-moderation analyses revealed that general factor strength remained stable across ages, suggesting that general psychopathology strength does not significantly change across childhood to adolescence. Even if the structure of psychopathology changes with development, the prominence of general psychopathology across development has important implications for future research and intervention.
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Affiliation(s)
- Jordan L Harris
- Department of Psychological and Brain Sciences, University of Iowa, 340 Iowa Avenue G60, Iowa City, IA, 52242, USA.
| | - Benjamin Swanson
- Department of Psychological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Isaac T Petersen
- Department of Psychological and Brain Sciences, University of Iowa, 340 Iowa Avenue G60, Iowa City, IA, 52242, USA
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Wierenga LM, Ruigrok A, Aksnes ER, Barth C, Beck D, Burke S, Crestol A, van Drunen L, Ferrara M, Galea LAM, Goddings AL, Hausmann M, Homanen I, Klinge I, de Lange AM, Geelhoed-Ouwerkerk L, van der Miesen A, Proppert R, Rieble C, Tamnes CK, Bos MGN. Recommendations for a Better Understanding of Sex and Gender in the Neuroscience of Mental Health. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:100283. [PMID: 38312851 PMCID: PMC10837069 DOI: 10.1016/j.bpsgos.2023.100283] [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: 05/11/2023] [Revised: 11/16/2023] [Accepted: 11/17/2023] [Indexed: 02/06/2024] Open
Abstract
There are prominent sex/gender differences in the prevalence, expression, and life span course of mental health and neurodiverse conditions. However, the underlying sex- and gender-related mechanisms and their interactions are still not fully understood. This lack of knowledge has harmful consequences for those with mental health problems. Therefore, we set up a cocreation session in a 1-week workshop with a multidisciplinary team of 25 researchers, clinicians, and policy makers to identify the main barriers in sex and gender research in the neuroscience of mental health. Based on this work, here we provide recommendations for methodologies, translational research, and stakeholder involvement. These include guidelines for recording, reporting, analysis beyond binary groups, and open science. Improved understanding of sex- and gender-related mechanisms in neuroscience may benefit public health because this is an important step toward precision medicine and may function as an archetype for studying diversity.
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Affiliation(s)
- Lara Marise Wierenga
- Institute of Psychology, Leiden University, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Amber Ruigrok
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Eira Ranheim Aksnes
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Claudia Barth
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dani Beck
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Sarah Burke
- Interdisciplinary Center for Psychopathology and Emotion regulation, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Arielle Crestol
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lina van Drunen
- Institute of Psychology, Leiden University, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Maria Ferrara
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
- University Hospital Psychiatry Unit, Integrated Department of Mental Health and Addictive Behavior, University S. Anna Hospital and Health Trust, Ferrara, Italy
| | - Liisa Ann Margaret Galea
- Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Anne-Lise Goddings
- University College London Great Ormond Street Institute of Child Health, University College London, London, United Kingdom
| | - Markus Hausmann
- Department of Psychology, Durham University, Durham, United Kingdom
| | - Inka Homanen
- Institute of Psychology, Leiden University, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Ineke Klinge
- Dutch Society for Gender & Health, the Netherlands
- Gendered Innovations at European Commission, Brussels, Belgium
| | - Ann-Marie de Lange
- Laboratory for Research in Neuroimaging, Centre for Research in Neurosciences, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Lineke Geelhoed-Ouwerkerk
- Institute of Psychology, Leiden University, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - Anna van der Miesen
- Department of Child and Adolescent Psychiatry, Center of Expertise on Gender Dysphoria, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Ricarda Proppert
- Department of Clinical Psychology, Leiden University, Leiden, the Netherlands
| | - Carlotta Rieble
- Department of Clinical Psychology, Leiden University, Leiden, the Netherlands
| | - Christian Krog Tamnes
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | - Marieke Geerte Nynke Bos
- Institute of Psychology, Leiden University, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
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Evans SC, Burke JD. The Affective Side of Disruptive Behavior: Toward Better Understanding, Assessment, and Treatment. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2024; 53:141-155. [PMID: 38656139 DOI: 10.1080/15374416.2024.2333008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Historically, much of the progress made in youth mental health research can be classified as focusing on externalizing problems, characterized by disruptive behavior (e.g. aggression, defiance), or internalizing problems, characterized by intense negative affect (e.g. depression, anxiety). Until recently, however, less attention has been given to topics that lie somewhere in between these domains, topics that we collectively refer to as the affective side of disruptive behavior. Like the far side of the moon, the affective side of disruptive behavior captures facets of the phenomenon that may be less obvious or commonly overlooked, but are nonetheless critical to understand. This affective side clarifies socially disruptive aspects of traditionally "externalizing" behavior by elucidating proximal causation via intense negative affect (traditionally "internalizing"). Such problems include irritability, frustration, anger, temper loss, emotional outbursts, and reactive aggression. Given a recent explosion of research in these areas, efforts toward integration are now needed. This special issue was developed to help address this need. Beyond the present introductory article, this collection includes 4 empirical articles on developmental psychopathology topics, 4 empirical articles on applied treatment/assessment topics, 1 evidence base update review article on measurement, and 2 future directions review articles concerning outbursts, mood, dispositions, and youth psychopathology more broadly. By deliberatively investigating the affective side of disruptive behavior, we hope these articles will help bring about better understanding, assessment, and treatment of these challenging problems, for the benefit of youth and families.
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Affiliation(s)
| | - Jeffrey D Burke
- Department of Psychological Sciences, University of Connecticut
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Pickersgill M. Stalling or oiling the engines of diagnosis? Shifting perspectives on the DSM and categorical diagnosis in psychiatry. SOCIOLOGY OF HEALTH & ILLNESS 2024; 46:132-151. [PMID: 37329240 DOI: 10.1111/1467-9566.13682] [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] [Received: 03/03/2023] [Accepted: 05/22/2023] [Indexed: 06/18/2023]
Abstract
Diagnosis in psychiatry and its precursors has long attracted debate and dissent. Attempts to discipline professional praxis are associated especially with the American Psychiatric Association's (APA) Diagnostic and Statistical Manual of Mental Disorders (DSM). In this article, I explore how social actors with the institutional power to contribute in important ways to shaping psychiatric contexts construct the problems with and purposes of the DSM and of diagnosis in psychiatry. I suggest that despite common assumptions that influential psychiatrists and related stakeholders uncritically adopt the DSM and other tools of categorical diagnosis, their relationship with these is rather more nuanced, ambivalent, and even fraught. However, I will also show that critiques can themselves be folded into particular styles of psychiatric thought in ways that do little to impact wider concerns about biomedicalisation and pharmaceuticalisation-and might even further accelerate these processes. Moreover, since professional critiques of the DSM often underscore its ubiquity and entrenchment, when positioned against implicit or explicit justifications of the ongoing use of this text they might inadvertently contribute to a 'discourse of inevitability'-acting to 'oil' rather than 'stall' what Annemarie Jutel terms the 'engines of diagnosis'.
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Affiliation(s)
- Martyn Pickersgill
- Centre for Biomedicine, Self and Society, Usher Institute, The University of Edinburgh, Edinburgh, UK
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Zilcha-Mano S. Individual-Specific Animated Profiles of Mental Health. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2024:17456916231226308. [PMID: 38377015 DOI: 10.1177/17456916231226308] [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: 02/22/2024]
Abstract
How important is the timing of the pretreatment evaluation? If we consider mental health to be a relatively fixed condition, the specific timing (e.g., day, hour) of the evaluation is immaterial and often determined on the basis of technical considerations. Indeed, the fundamental assumption underlying the vast majority of psychotherapy research and practice is that mental health is a state that can be captured in a one-dimensional snapshot. If this fundamental assumption, underlying 80 years of empirical research and practice, is incorrect, it may help explain why for decades psychotherapy failed to rise above the 50% efficacy rate in the treatment of mental-health disorders, especially depression, a heterogeneous disorder and the leading cause of disability worldwide. Based on recent studies suggesting within-individual dynamics, this article proposes that mental health and its underlying therapeutic mechanisms have underlying intrinsic dynamics that manifest across dimensions. Computational psychotherapy is needed to develop individual-specific pretreatment animated profiles of mental health. Such individual-specific animated profiles are expected to improve the ability to select the optimal treatment for each patient, devise adequate treatment plans, and adjust them on the basis of ongoing evaluations of mental-health dynamics, creating a new understanding of therapeutic change as a transition toward a more adaptive animated profile.
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Lavigne KM, Deng J, Raucher-Chéné D, Hotte-Meunier A, Voyer C, Sarraf L, Lepage M, Sauvé G. Transdiagnostic cognitive biases in psychiatric disorders: A systematic review and network meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2024; 129:110894. [PMID: 37956787 DOI: 10.1016/j.pnpbp.2023.110894] [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: 06/19/2023] [Revised: 10/13/2023] [Accepted: 11/06/2023] [Indexed: 11/15/2023]
Abstract
Psychiatric disorders are characterized by cognitive deficits, which have been proposed as a transdiagnostic feature of psychopathology ("C" factor). Similarly, cognitive biases (e.g., in attention, memory, and interpretation) represent common tendencies in information processing that are often associated with psychiatric symptoms. However, the question remains whether cognitive biases are also transdiagnostic or are specific to certain psychiatric disorders/symptoms. The current systematic review sought to address whether the proposed "C" factor of transdiagnostic cognitive dysfunction in psychopathology can be extended to cognitive biases. Overall, 31 studies comprising 4401 participants (2536 patients, 1865 non-clinical controls) met inclusion criteria, assessing 19 cognitive biases across 20 diagnostic categories, with most studies focusing on interpretation (k = 22) and attention (k = 11) biases and only 2 assessing memory biases. Traditional meta-analyses found a moderate effect size (g = 0.32) for more severe cognitive biases in all patients relative to non-clinical controls, as well as small but significant associations between interpretation biases and transdiagnostic symptom categories (general psychopathology: r = 0.20, emotion dysfunction: r = 0.17, psychotic symptoms: r = 0.25). Network meta-analyses revealed significant patient versus non-clinical control differences on attention and interpretation biases across diagnoses, as well as significant differences between diagnoses, with highest severity in panic disorder for attention biases and obsessive-compulsive disorder for interpretation biases. The current findings extend the big "C" interpretation of transdiagnostic cognitive dysfunction in psychiatric disorders to cognitive biases and transdiagnostic symptom dimensions. Results also suggest that while the presence of cognitive biases is transdiagnostic, bias severity differs across diagnoses, as in traditional neurocognitive deficits.
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Affiliation(s)
- Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada.
| | | | - Delphine Raucher-Chéné
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | | | - Chloe Voyer
- Douglas Research Centre, Montreal, QC, Canada
| | - Lisa Sarraf
- Douglas Research Centre, Montreal, QC, Canada; Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Montreal, QC, Canada; Douglas Research Centre, Montreal, QC, Canada
| | - Geneviève Sauvé
- Douglas Research Centre, Montreal, QC, Canada; Département d'éducation et pédagogie, Université de Québec à Montréal, Montréal, QC, Canada
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47
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McNaughton N, Lages YV. Non-human contributions to personality neuroscience: From fish through primates - a concluding editorial overview. PERSONALITY NEUROSCIENCE 2024; 7:e5. [PMID: 38384664 PMCID: PMC10877271 DOI: 10.1017/pen.2024.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 12/02/2023] [Indexed: 02/23/2024]
Abstract
This special issue attempts to integrate personality, psychopathology, and neuroscience as means to improve understanding of specific traits and trait structures in humans. The key strategy is to dive into comparative research using a range of species to provide simple models. This strategy has, as its foundation, the fact that the most basic functions, and their supporting neural systems, are highly conserved in evolution. The papers collected in the issue show that, from fish, through rats, to primates, the homologies in brain systems and underlying functions (despite species-specific forms of expression) allow simpler cases to provide insights into the neurobiology behind more complex ones including human. Our introductory editorial paper to this special issue took a bottom-up approach, starting with the genetics of conserved brain systems and working up to cognition. Here, we deconstruct the different aspects of personality, progressing from more complex ones in primates to least complex in fish. With the primate section, we summarize papers that discuss the factors that contribute to sociability in primates and how they apply to healthy and pathological human personality traits. In the rat section, the focus is driven by psychopathology and the way that "high" strains selected for extreme behaviors can illuminate the neurobiology of motivated responses to environmental cues. The section on fish summarizes papers that look into the most fundamental emotional reactions to the environment that are governed by primitive and conserved brain structures. This raises metatheoretical questions on the nature of traits and to a section that asks "which animals have personalities." We believe that the issue as a whole provides a nuanced answer to this question and shines a new, comparative, light on the interpretation of personality structure and the effects on it of evolution.
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Affiliation(s)
- N. McNaughton
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Y. V. Lages
- Department of Psychology, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil
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Sánchez Hernández MO, Holgado-Tello FP, Carrasco MÁ. The dynamics of psychological attributes and symptomatic comorbidity of depression in children and adolescents. Soc Psychiatry Psychiatr Epidemiol 2024; 59:341-351. [PMID: 37477729 PMCID: PMC10838844 DOI: 10.1007/s00127-023-02532-x] [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: 12/14/2022] [Accepted: 07/12/2023] [Indexed: 07/22/2023]
Abstract
PURPOSE This investigation aimed to explore attribute dynamics and symptomatic comorbidity of depression with internalizing, externalizing, and other personal-contextual problems in children and adolescents from a network analysis. METHODS We tested an attribute network of regularized partial correlations, standard and alternative centrality measures, and comorbidity bridge symptoms according to centrality bridge measures. RESULTS Regularized partial correlation network and a centrality measures graph shown the prominent position of social problems and anxiety-depression. Minimum spanning tree (MST) found a hierarchical dynamics between attributes where mixed anxiety-depression was identified as the core and the other attributes were hierarchically connected to it by being positioned in six branches that are differentiated according to their theoretical contents. The most central connections are established with the attributes of their own community or theoretical groups, and 37 bridge symptoms were identified in all networks. CONCLUSIONS A significant role of mixed anxiety depression as an activator and intermediary of psychopathologies was supported as a central attribute of internalizing problems. Aggressive behavior as part of the broad externalizing dimension was one of the constructs that most intensively activate the network, and social problems were also distinguished as a relevant factor not only in terms of connections and central attributes but also in terms of bridge symptoms and comorbidity. This framework extends to the study of symptomatic "comorbidity."
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49
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Schroeders U, Scharf F, Olaru G. Model Specification Searches in Structural Equation Modeling Using Bee Swarm Optimization. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT 2024; 84:40-61. [PMID: 38250510 PMCID: PMC10795566 DOI: 10.1177/00131644231160552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a psychological measurement instrument. The algorithm assigns items to an unknown number of nested factors in a confirmatory bifactor model, while simultaneously selecting items for the final scale. To achieve this, the algorithm follows the biological template of bees' foraging behavior: Scout bees explore new food sources, whereas onlooker bees search in the vicinity of previously explored, promising food sources. Analogously, scout bees in BSO introduce major changes to a model specification (e.g., adding or removing a specific factor), whereas onlooker bees only make minor changes (e.g., adding an item to a factor or swapping items between specific factors). Through this division of labor in an artificial bee colony, the algorithm aims to strike a balance between two opposing strategies diversification (or exploration) versus intensification (or exploitation). We demonstrate the usefulness of the algorithm to find the underlying structure in two empirical data sets (Holzinger-Swineford and short dark triad questionnaire, SDQ3). Furthermore, we illustrate the influence of relevant hyperparameters such as the number of bees in the hive, the percentage of scouts to onlookers, and the number of top solutions to be followed. Finally, useful applications of the new algorithm are discussed, as well as limitations and possible future research opportunities.
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50
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Clapp Sullivan ML, Schwaba T, Harden KP, Grotzinger AD, Nivard MG, Tucker-Drob EM. Beyond the factor indeterminacy problem using genome-wide association data. Nat Hum Behav 2024; 8:205-218. [PMID: 38225407 PMCID: PMC10922726 DOI: 10.1038/s41562-023-01789-1] [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] [Received: 03/31/2023] [Accepted: 11/20/2023] [Indexed: 01/17/2024]
Abstract
Latent factors, such as general intelligence, depression and risk tolerance, are invoked in nearly all social science research where a construct is measured via aggregation of symptoms, question responses or other measurements. Because latent factors cannot be directly observed, they are inferred by fitting a specific model to empirical patterns of correlations among measured variables. A long-standing critique of latent factor theories is that the correlations used to infer latent factors can be produced by alternative data-generating mechanisms that do not include latent factors. This is referred to as the factor indeterminacy problem. Researchers have recently begun to overcome this problem by using information on the associations between individual genetic variants and measured variables. We review historical work on the factor indeterminacy problem and describe recent efforts in genomics to rigorously test the validity of latent factors, advancing the understanding of behavioural science constructs.
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Affiliation(s)
| | - Ted Schwaba
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - K Paige Harden
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
| | - Andrew D Grotzinger
- Department of Psychology and Neuroscience, University of Colorado at Boulder, Boulder, CO, USA
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, CO, USA
| | - Michel G Nivard
- Department of Biological Psychiatry, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Elliot M Tucker-Drob
- Department of Psychology, University of Texas at Austin, Austin, TX, USA
- Population Research Center, University of Texas at Austin, Austin, TX, USA
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