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Ro E, Vittengl JR, Jarrett RB, Clark LA. Disinhibition domain and facets uniquely predict changes in depressive symptoms and psychosocial functioning. Personal Ment Health 2023; 17:363-376. [PMID: 37165469 DOI: 10.1002/pmh.1585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 03/28/2023] [Accepted: 04/11/2023] [Indexed: 05/12/2023]
Abstract
This study aimed to understand the role of disinhibition (low conscientiousness)-in conjunction with the other major personality traits of negative affectivity, detachment, antagonism, and psychoticism-in predicting changes in depressive symptoms and psychosocial functioning. Both the disinhibition trait domain and its primary facets (i.e., irresponsibility, impulsivity, and distractibility) were examined. In a large sample (Time 1 N = 605, Time 2 N = 497) of psychiatric outpatients and high-risk community residents, personality traits, depressive symptoms (both self-reported and interviewer-rated), and psychosocial functioning levels (i.e., daily functioning, interpersonal functioning, health-related quality of life, and global quality of life) were collected across two time points. Results showed that the disinhibition domain was the strongest predictor of changes in depressive symptoms and general quality of life levels. Disinhibition facets also predicted changes in depressive symptoms but showed a less consistent pattern compared to the broader trait domain. Finally, the irresponsibility and distractibility facets significantly and uniquely explained changes in interpersonal functioning. The study highlights the importance of assessing the disinhibition trait rather than only negative and positive affectivity (which are well-known correlates of depression), for understanding changes in depressive symptoms and psychosocial functioning. The findings identify potential targets in psychotherapy for individuals with disinhibition traits and depressive disorders.
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Affiliation(s)
- Eunyoe Ro
- Department of Psychology, Southern Illinois University Edwardsville, Edwardsville, Illinois, USA
| | - Jeffrey R Vittengl
- Department of Psychology, Truman State University, Kirksville, Missouri, USA
| | - Robin B Jarrett
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Lee Anna Clark
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana, USA
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2
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Kraus B, Zinbarg R, Braga RM, Nusslock R, Mittal VA, Gratton C. Insights from personalized models of brain and behavior for identifying biomarkers in psychiatry. Neurosci Biobehav Rev 2023; 152:105259. [PMID: 37268180 PMCID: PMC10527506 DOI: 10.1016/j.neubiorev.2023.105259] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023]
Abstract
A main goal in translational neuroscience is to identify neural correlates of psychopathology ("biomarkers") that can be used to facilitate diagnosis, prognosis, and treatment. This goal has led to substantial research into how psychopathology symptoms relate to large-scale brain systems. However, these efforts have not yet resulted in practical biomarkers used in clinical practice. One reason for this underwhelming progress may be that many study designs focus on increasing sample size instead of collecting additional data within each individual. This focus limits the reliability and predictive validity of brain and behavioral measures in any one person. As biomarkers exist at the level of individuals, an increased focus on validating them within individuals is warranted. We argue that personalized models, estimated from extensive data collection within individuals, can address these concerns. We review evidence from two, thus far separate, lines of research on personalized models of (1) psychopathology symptoms and (2) fMRI measures of brain networks. We close by proposing approaches uniting personalized models across both domains to improve biomarker research.
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Affiliation(s)
- Brian Kraus
- Department of Psychology, Northwestern University, Evanston, IL, USA.
| | - Richard Zinbarg
- Department of Psychology, Northwestern University, Evanston, IL, USA; The Family Institute at Northwestern University, Evanston, IL, USA
| | - Rodrigo M Braga
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Robin Nusslock
- Department of Psychology, Northwestern University, Evanston, IL, USA; Institute for Policy Research, Northwestern University, Evanston, IL, USA
| | - Vijay A Mittal
- Department of Psychology, Northwestern University, Evanston, IL, USA; Institute for Policy Research, Northwestern University, Evanston, IL, USA; Institute for Innovations in Developmental Sciences (DevSci), Northwestern University, Chicago, IL, USA; Northwestern University, Department of Psychiatry, Chicago, IL, USA; Northwestern University, Medical Social Sciences, Chicago, IL, USA
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL, USA; Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Interdepartmental Neuroscience Program, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; Department of Psychology, Florida State University, Tallahassee, FL, USA; Program in Neuroscience, Florida State University, Tallahassee, FL, USA
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3
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Puccetti NA, Villano WJ, Stamatis CA, Hall KA, Torrez VF, Neta M, Timpano KR, Heller AS. Negative interpretation bias connects to real-world daily affect: A multistudy approach. J Exp Psychol Gen 2023; 152:1690-1704. [PMID: 36780262 PMCID: PMC10478317 DOI: 10.1037/xge0001351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Negative interpretation bias, the tendency to appraise ambiguous stimuli as threatening, shapes our emotional lives. Various laboratory tasks, which differ in stimuli features and task procedures, can quantify negative interpretation bias. However, it is unknown whether these tasks globally predict individual differences in real-world negative (NA) and positive (PA) affect. Across two studies, we tested whether different lab-based negative interpretation bias tasks predict daily NA and PA, measured via mobile phone across months. To quantify negative interpretation bias, Study 1 (N = 69) used a verbal, self-referential task whereas Study 2 (N = 110) used a perceptual, emotional image task with faces and scenes. Across tasks, negative interpretation bias was linked to heightened daily NA. However, only negative interpretation bias in response to ambiguous faces was related to decreased daily PA. These results illustrate the ecological validity of negative interpretation bias tasks and highlight converging and unique relationships between distinct tasks and naturalistic emotion. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
| | | | - Caitlin A. Stamatis
- Department of Psychology, University of Miami
- Department of Psychiatry, New York-Presbyterian Hospital/Weill Cornell Medical College
- Center for Behavioral Intervention Technologies, Northwestern University Feinberg School of Medicine
| | | | | | - Maital Neta
- Department of Psychology, University of Nebraska-Lincoln
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4
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Villano WJ, Kraus NI, Reneau TR, Jaso BA, Otto AR, Heller AS. Individual differences in naturalistic learning link negative emotionality to the development of anxiety. SCIENCE ADVANCES 2023; 9:eadd2976. [PMID: 36598977 PMCID: PMC9812386 DOI: 10.1126/sciadv.add2976] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
Organisms learn from prediction errors (PEs) to predict the future. Laboratory studies using small financial outcomes find that humans use PEs to update expectations and link individual differences in PE-based learning to internalizing disorders. Because of the low-stakes outcomes in most tasks, it is unclear whether PE learning emerges in naturalistic, high-stakes contexts and whether individual differences in PE learning predict psychopathology risk. Using experience sampling to assess 625 college students' expected exam grades, we found evidence of PE-based learning and a general tendency to discount negative PEs, an "optimism bias." However, individuals with elevated negative emotionality, a personality trait linked to the development of anxiety disorders, displayed a global pessimism and learning differences that impeded accurate expectations and predicted future anxiety symptoms. A sensitivity to PEs combined with an aversion to negative PEs may result in a pessimistic and inaccurate model of the world, leading to anxiety.
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Affiliation(s)
| | - Noah I. Kraus
- Department of Psychology, University of Miami, Coral Gables, FL, USA
| | - Travis R. Reneau
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA
| | - Brittany A. Jaso
- Center for Anxiety and Related Disorders, Boston University, Boston, MA, USA
| | - A. Ross Otto
- Department of Psychology, McGill University, Montreal, Canada
| | - Aaron S. Heller
- Department of Psychology, University of Miami, Coral Gables, FL, USA
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5
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Waszczuk MA, Hopwood CJ, Luft BJ, Morey LC, Perlman G, Ruggero CJ, Skodol AE, Kotov R. The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning. Clin Psychol Sci 2022; 10:734-751. [PMID: 35967764 PMCID: PMC9366938 DOI: 10.1177/21677026211056596] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Past psychiatric diagnoses are central to patient case formulation and prognosis. Recently, alternative classification models such as the Hierarchical Taxonomy of Psychopathology (HiTOP) proposed to assess traits to predict clinically-relevant outcomes. The current study directly compared personality traits and past diagnoses as predictors of future mental health and functioning in three independent, prospective samples. Regression analyses found that personality traits significantly predicted future first onsets of psychiatric disorders (ΔR2=06-.15), symptom chronicity (ΔR2=.03-.06), and functioning (ΔR2=.02-.07), beyond past and current psychiatric diagnoses. Conversely, past psychiatric diagnoses did not provide an incremental prediction of outcomes when personality traits and other concurrent predictors were already included in the model. Overall, personality traits predicted a variety of outcomes in diverse settings, beyond diagnoses. Past diagnoses were generally not informative about future outcomes when personality was considered. Together, these findings support the added value of personality traits assessment in case formulation, consistent with HiTOP model.
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Affiliation(s)
- Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL
- Department of Psychiatry, Stony Brook University, Stony Brook, NY
| | | | - Benjamin J Luft
- Department of Medicine, Stony Brook University, Stony Brook, NY
| | - Leslie C Morey
- Department of Psychology, Texas A&M University, College Station, TX
| | - Greg Perlman
- Department of Psychiatry, Stony Brook University, Stony Brook, NY
| | | | | | - Roman Kotov
- Department of Psychiatry, Stony Brook University, Stony Brook, NY
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6
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A Preliminary Examination of the Interaction between Maternal Generalized Anxiety Disorder and Offspring Negative Affect in Relation to Maternal Worry about Offspring and Perceptions of Psychological Control. Child Psychiatry Hum Dev 2022; 53:554-568. [PMID: 33721190 DOI: 10.1007/s10578-021-01156-z] [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] [Accepted: 03/01/2021] [Indexed: 10/21/2022]
Abstract
Both maternal symptoms and adolescent offspring characteristics are associated with maladaptive parenting among families at risk for anxiety. One disorder that may be particularly associated with maladaptive parenting behaviors is generalized anxiety disorder (GAD). Previous work suggests that offspring negative affect (NA) is associated with different levels of maladaptive parenting behaviors among mothers with GAD. No work to date, however, has examined the association between offspring reported NA, maternal GAD, and maternal worry about offspring or maternal perceptions of psychological control (PC) among mothers of adolescents. Sixty-five mothers who were elevated in anxious arousal and their adolescent offspring between the ages of 12 and 16 years old (n = 65, 55% male, Mage = 13.89) reported on parenting (mother report), NA (offspring report), and GAD symptoms (assessed via structured clinical interview), and maternal anxiety sensitivity (AS) symptoms. Study results indicated that maternal GAD status interacted with offspring NA in relation to maternal reported use of PC and worry about offspring. Specifically, offspring NA was positively related to PC for mothers without GAD, but not for mothers with GAD. Further, for mothers with GAD, offspring NA was negatively related to worry about offspring, but this relation did not persist for mothers without GAD. Maternal AS was related to overall higher levels of worry about offspring and PC. Mothers with GAD report using higher levels of maladaptive parenting when offspring report lower levels of NA, and lower levels when offspring report high NA. This pattern was specific to maternal GAD (c.f. anxiety sensitivity).
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7
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Yarrington JS, Enders CK, Zinbarg RE, Mineka S, Craske MG. Examining the dimensionality of anxiety and depression: A latent profile approach to modeling transdiagnostic features. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2022; 44:214-226. [PMID: 35573659 PMCID: PMC9094145 DOI: 10.1007/s10862-021-09913-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Depression and anxiety are highly prevalent psychological disorders; our understanding of these conditions remains limited. Efforts to explain anxiety and depression have been constrained in part by binary classification systems. Dimensional approaches to understanding psychopathology may be more effective. The present study used latent profile analysis (LPA) to assess whether unique subgroups exist within a tri-level model of anxiety and depression. Participants (N=627) completed self-report questionnaires from which tri-level model factors were derived. LPA was conducted on those factors. A 4-profile model offered optimal fit to the data at baseline. This model was replicated at a second time point. Models derived included profiles labelled 'Mixed Fears,' 'Anxious Arousal,' 'Low Mood/Anhedonia,' and 'Sub-Clinical.' Profiles were validated at Time 1 using diagnostic status and clinical severity ratings associated with mood and anxiety presentations. Profiles demonstrated flexibility in accommodating breadth in clinical presentations and common comorbidities. Latent variable models may offer more ecologically valid approaches to understanding psychopathology.
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Affiliation(s)
- Julia S. Yarrington
- Department of Psychology, University of California, Los Angeles, 502 Portola Plaza, Los Angeles, CA 90095
| | - Craig K. Enders
- Department of Psychology, University of California, Los Angeles, 502 Portola Plaza, Los Angeles, CA 90095
| | - Richard E. Zinbarg
- Department of Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL 60208
| | - Susan Mineka
- Department of Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL 60208
| | - Michelle G. Craske
- Department of Psychology, University of California, Los Angeles, 502 Portola Plaza, Los Angeles, CA 90095
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8
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Early and late signals of unexpected reward contribute to low extraversion and high disinhibition, respectively. PERSONALITY NEUROSCIENCE 2021; 4:e5. [PMID: 34909564 PMCID: PMC8645529 DOI: 10.1017/pen.2021.4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/29/2021] [Accepted: 06/05/2021] [Indexed: 12/23/2022]
Abstract
Like socio-economic status and cognitive abilities, personality traits predict important life outcomes. Traits that reflect unusually low or high approach motivations, such as low extraversion and high disinhibition, are linked to various forms of mental disorder. Similarly, the dopamine system is theoretically linked to approach motivation traits and to various forms of mental disorder. Identifying neural contributions to extremes of such traits should map to neural sources of psychopathology, with dopamine a prime candidate. Notably, dopamine cells fire in response to unexpected reward, which suggests that the size of non-invasive, scalp-recorded potentials evoked by unexpected reward could reflect sensitivity in approach motivation traits. Here, we evaluated the validity of evoked electroencephalography (EEG) responses to unexpected reward in a monetary gain/loss task to assess approach motivation traits in 137 participants, oversampled for externalizing psychopathology symptoms. We demonstrated that over the 0–400 ms period in which feedback on the outcome was presented, responses evoked by unexpected reward contributed to all theoretically relevant approach motivation trait domains (disinhibition, extraversion and the behavioural activation system); and did so only at times when dopamine responses normally peak and reportedly code salience (70–100 ms) and valuation (200–300 ms). In particular, we linked “dopaminergic” salience and valuation to the psychopathology-related constructs of low extraversion (social anxiety) and high disinhibition (impulsivity) respectively, making the evoked potential components biomarker candidates for indexing aberrant processing of unexpected reward.
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9
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Kotov R, Krueger RF, Watson D, Cicero DC, Conway CC, DeYoung CG, Eaton NR, Forbes MK, Hallquist MN, Latzman RD, Mullins-Sweatt SN, Ruggero CJ, Simms LJ, Waldman ID, Waszczuk MA, Wright AGC. The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence. Annu Rev Clin Psychol 2021; 17:83-108. [PMID: 33577350 DOI: 10.1146/annurev-clinpsy-081219-093304] [Citation(s) in RCA: 182] [Impact Index Per Article: 60.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.
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Affiliation(s)
- Roman Kotov
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Robert F Krueger
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - David Watson
- Department of Psychology, University of Notre Dame, Notre Dame, Indiana 46556, USA
| | - David C Cicero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | | | - Colin G DeYoung
- Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - Nicholas R Eaton
- Departments of Psychiatry and Psychology, Stony Brook University, Stony Brook, New York 11794, USA;
| | - Miriam K Forbes
- Centre for Emotional Health, Department of Psychology, Macquarie University, Macquarie Park, New South Wales 2109, Australia
| | - Michael N Hallquist
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
| | - Robert D Latzman
- Department of Psychology, Georgia State University, Atlanta, Georgia 30303, USA
| | | | - Camilo J Ruggero
- Department of Psychology, University of North Texas, Denton, Texas 76203, USA
| | - Leonard J Simms
- Department of Psychology, University at Buffalo, State University of New York, Buffalo, New York 14260, USA
| | - Irwin D Waldman
- Department of Psychology, Emory University, Atlanta, Georgia 30322, USA
| | - Monika A Waszczuk
- Department of Psychology, Rosalind Franklin University, North Chicago, Illinois 60064, USA
| | - Aidan G C Wright
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
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10
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Khazanov GK, Xu C, Dunn BD, Cohen ZD, DeRubeis RJ, Hollon SD. Distress and anhedonia as predictors of depression treatment outcome: A secondary analysis of a randomized clinical trial. Behav Res Ther 2019; 125:103507. [PMID: 31896529 DOI: 10.1016/j.brat.2019.103507] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 10/24/2019] [Accepted: 10/28/2019] [Indexed: 02/06/2023]
Abstract
Two core features of depression include depressed mood (heightened distress) and anhedonia (reduced pleasure). Despite their centrality to depression, studies have not examined their contribution to treatment outcomes in a randomized clinical trial providing mainstream treatments like antidepressant medications (ADM) and cognitive therapy (CT). We used baseline distress and anhedonia derived from a factor analysis of the Mood and Anxiety Symptom Questionnaire to predict remission and recovery in 433 individuals with recurrent/chronic major depressive disorder. Patients were provided with only ADM or both ADM and CT. Overall, higher baseline distress and anhedonia predicted longer times to remission within one year and recovery within three years. When controlling for treatment condition, distress improved prediction of outcomes over and above anhedonia, while anhedonia did not improve prediction of outcomes over and above distress. Interactions with treatment condition demonstrated that individuals with higher distress and anhedonia benefited from receiving CT in addition to ADM, whereas there was no added benefit of CT for individuals with lower distress and anhedonia. Assessing distress and anhedonia prior to treatment may help select patients who will benefit most from CT in addition to ADM. For the treatments and outcome measures tested, utilizing distress to guide treatment planning may yield the greatest benefit. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT00057577.
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Affiliation(s)
- Gabriela K Khazanov
- Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA, 19104, USA.
| | - Colin Xu
- Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA, 19104, USA.
| | - Barnaby D Dunn
- Mood Disorders Centre, University of Exeter. Sir Henry Wellcome Building for Mood Disorders Research, University of Exeter, Perry Road, EX4 4QG, UK.
| | - Zachary D Cohen
- Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA, 19104, USA.
| | - Robert J DeRubeis
- Department of Psychology, University of Pennsylvania, 425 S. University Avenue, Philadelphia, PA, 19104, USA.
| | - Steven D Hollon
- Department of Psychology, Vanderbilt University. 2301 Vanderbilt Place, Nashville, TN, 37240, USA.
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11
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Rosellini AJ, Brown TA. The Multidimensional Emotional Disorder Inventory (MEDI): Assessing transdiagnostic dimensions to validate a profile approach to emotional disorder classification. Psychol Assess 2018; 31:59-72. [PMID: 30160498 DOI: 10.1037/pas0000649] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
There has been limited progress evaluating the validity of dimensional approaches to emotional disorder classification. This has occurred in part because of a lack of standardized assessment tools developed with the specific intent of studying dimensional classification. The goal of the current study was to develop and validate the Multidimensional Emotional Disorder Inventory (MEDI) to efficiently assess nine empirically supported transdiagnostic dimensions proposed in the Brown and Barlow (2009) profile approach to emotional disorder classification: neurotic temperament, positive temperament, depression, autonomic arousal, somatic anxiety, social anxiety, intrusive cognitions, traumatic reexperiencing, and avoidance. The MEDI factor structure, reliability, and convergent/discriminant validity was evaluated in outpatients with emotional disorders (pilot sample = 227; validation sample = 780). The final 9-factor solution fit the data well. Intercorrelations among MEDI factors were consistent with previous research, and all MEDI dimensions had acceptable reliability. Correlations with common self-report questionnaires and DSM-5 diagnoses supported the convergent/discriminant validity of all nine MEDI dimensions. Collectively, these results support the use of 49-item MEDI in clinical research samples. The MEDI should be used in future research to evaluate the validity of the Brown and Barlow (2009) approach to emotional disorder classification. Because it provides an efficient assessment of several well-established emotional disorder traits and phenotypes, the MEDI also may have utility for general research or clinical purposes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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12
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Borges LM, Naugle AE. The role of emotion regulation in predicting personality dimensions. Personal Ment Health 2017; 11:314-334. [PMID: 28856850 DOI: 10.1002/pmh.1390] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 07/05/2017] [Accepted: 07/09/2017] [Indexed: 11/10/2022]
Abstract
Dimensional models of personality have been widely acknowledged in the field as alternatives to a trait-based system of nomenclature. While the importance of dimensional models has been established, less is known about the constructs underlying these personality dimensions. Emotion regulation is one such potential construct. The goal of the current study was to examine the relationship between personality dimensions and emotion regulation. More specifically, the predictive capacity of emotion regulation in accounting for personality dimensions and symptoms on the Schedule for Nonadaptive and Adaptive Personality-2 above and beyond a measure of general distress was evaluated. Emotion regulation was found to be predictive of most personality dimensions and symptoms of most personality disorders. Consistent with hypotheses, emotion regulation variables associated with undercontrol of emotions were most predictive of traits associated with Cluster B personality disorders whereas Cluster A and C traits were most associated with emotion regulation related to overcontrol of emotions. These findings provide preliminary evidence that some personality dimensions never assessed in relation to emotion regulation are strongly predicted by emotion regulation variables. Thus, the present study facilitates an initial step in understanding the relationship between personality dimensions and a multidimensional model of emotion regulation. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Lauren M Borges
- Rocky Mountain MIRECC, 1055 Clermont St., Denver, CO, 80220, USA
| | - Amy E Naugle
- Department of Clinical Psychology, Western Michigan University, 3524 Wood Hall, Mail Stop 5439, Kalamazoo, MI, 49008, USA
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13
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Hengartner MP, Lehmann SN. Why Psychiatric Research Must Abandon Traditional Diagnostic Classification and Adopt a Fully Dimensional Scope: Two Solutions to a Persistent Problem. Front Psychiatry 2017; 8:101. [PMID: 28638352 PMCID: PMC5461269 DOI: 10.3389/fpsyt.2017.00101] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Michael P Hengartner
- Department of Applied Psychology, Zurich University of Applied Sciences, Zurich, Switzerland
| | - Sandrine N Lehmann
- Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital of Psychiatry, Zurich, Switzerland
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14
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Shackman AJ, Tromp DPM, Stockbridge MD, Kaplan CM, Tillman RM, Fox AS. Dispositional negativity: An integrative psychological and neurobiological perspective. Psychol Bull 2016; 142:1275-1314. [PMID: 27732016 PMCID: PMC5118170 DOI: 10.1037/bul0000073] [Citation(s) in RCA: 109] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Dispositional negativity-the propensity to experience and express more frequent, intense, or enduring negative affect-is a fundamental dimension of childhood temperament and adult personality. Elevated levels of dispositional negativity can have profound consequences for health, wealth, and happiness, drawing the attention of clinicians, researchers, and policymakers. Here, we highlight recent advances in our understanding of the psychological and neurobiological processes linking stable individual differences in dispositional negativity to momentary emotional states. Self-report data suggest that 3 key pathways-increased stressor reactivity, tonic increases in negative affect, and increased stressor exposure-explain most of the heightened negative affect that characterizes individuals with a more negative disposition. Of these 3 pathways, tonically elevated, indiscriminate negative affect appears to be most central to daily life and most relevant to the development of psychopathology. New behavioral and biological data provide insights into the neural systems underlying these 3 pathways and motivate the hypothesis that seemingly "tonic" increases in negative affect may actually reflect increased reactivity to stressors that are remote, uncertain, or diffuse. Research focused on humans, monkeys, and rodents suggests that this indiscriminate negative affect reflects trait-like variation in the activity and connectivity of several key brain regions, including the central extended amygdala and parts of the prefrontal cortex. Collectively, these observations provide an integrative psychobiological framework for understanding the dynamic cascade of processes that bind emotional traits to emotional states and, ultimately, to emotional disorders and other kinds of adverse outcomes. (PsycINFO Database Record
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Affiliation(s)
- Alexander J. Shackman
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
- Department of Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742 USA
- Maryland Neuroimaging Center, University of Maryland, College Park, MD 20742 USA
| | - Do P. M. Tromp
- Department of Psychology, University of California, Davis, CA 95616 USA
| | - Melissa D. Stockbridge
- Department of Hearing and Speech Sciences, University of Maryland, College Park, MD 20742 USA
| | - Claire M. Kaplan
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
| | - Rachael M. Tillman
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
| | - Andrew S. Fox
- Department of Psychology, University of California, Davis, CA 95616 USA
- California National Primate Research Center, University of California, Davis, CA 95616 USA
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Shackman AJ, Stockbridge MD, Tillman RM, Kaplan CM, Tromp DPM, Fox AS, Gamer M. The neurobiology of dispositional negativity and attentional biases to threat: Implications for understanding anxiety disorders in adults and youth. J Exp Psychopathol 2016; 7:311-342. [PMID: 27917284 PMCID: PMC5130287 DOI: 10.5127/jep.054015] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
When extreme, anxiety can become debilitating. Anxiety disorders, which often first emerge early in development, are common and challenging to treat, yet the neurocognitive mechanisms that confer increased risk have only recently begun to come into focus. Here we review recent work highlighting the importance of neural circuits centered on the amygdala. We begin by describing dispositional negativity, a core dimension of childhood temperament and adult personality and an important risk factor for the development of anxiety disorders and other kinds of stress-sensitive psychopathology. Converging lines of epidemiological, neurophysiological, and mechanistic evidence indicate that the amygdala supports stable individual differences in dispositional negativity across the lifespan and contributes to the etiology of anxiety disorders in adults and youth. Hyper-vigilance and attentional biases to threat are prominent features of the anxious phenotype and there is growing evidence that they contribute to the development of psychopathology. Anatomical studies show that the amygdala is a hub, poised to govern attention to threat via projections to sensory cortex and ascending neuromodulatory systems. Imaging and lesion studies demonstrate that the amygdala plays a key role in selecting and prioritizing the processing of threat-related cues. Collectively, these observations provide a neurobiologically-grounded framework for understanding the development and maintenance of anxiety disorders in adults and youth and set the stage for developing improved intervention strategies.
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Affiliation(s)
- Alexander J. Shackman
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
- Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD 20742 USA
- Maryland Neuroimaging Center, University of Maryland, College Park, MD 20742 USA
| | - Melissa D. Stockbridge
- Department of Hearing and Speech Sciences, University of Maryland, College Park, MD 20742 USA
| | - Rachael M. Tillman
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
| | - Claire M. Kaplan
- Department of Psychology, University of Maryland, College Park, MD 20742 USA
| | - Do P. M. Tromp
- Department of Psychiatry, University of Wisconsin, Madison, WI 53719 USA
- HealthEmotions Research Institute, University of Wisconsin, Madison, WI 53719 USA
- Lane Neuroimaging Laboratory, University of Wisconsin, Madison, WI 53719 USA
- Neuroscience Training Program, University of Wisconsin, Madison, WI 53719 USA
| | - Andrew S. Fox
- Department of Psychology, University of California, Davis, CA 95616 USA
- California National Primate Research Center, University of California, Davis, CA 95616 USA
| | - Matthias Gamer
- Department of Psychology, Julius Maximilian University of Würzburg, Würzburg, Germany
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