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Leibenluft E, Kircanski K. Chronic Irritability in Youth: A Reprise on Challenges and Opportunities Toward Meeting Unmet Clinical Needs. Child Adolesc Psychiatr Clin N Am 2021; 30:667-683. [PMID: 34053693 DOI: 10.1016/j.chc.2021.04.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
This commentary focuses on irritability, one subtype of emotion dysregulation. We review literature demonstrating that irritability is not a developmental phenotype of bipolar disorder, but is longitudinally associated with unipolar depression and anxiety and genetically associated with unipolar depression, anxiety, and attention-deficit hyperactivity disorder. We describe how irritability is amenable to translational research, in part because of the relevance of frustrative nonreward, a model developed in rodents, to human irritability. Last, we demonstrate how such research has suggested a novel exposure-based intervention for irritability.
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Affiliation(s)
- Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, Intramural Research Program, National Institute of Mental Health, Building 15K, MSC 2670, Bethesda, MD 20892-2670, USA.
| | - Katharina Kircanski
- Section on Mood Dysregulation and Neuroscience, Intramural Research Program, National Institute of Mental Health, Building 15K, MSC 2670, Bethesda, MD 20892-2670, USA
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Cardinale EM, Naim R, Haller SP, German R, Botz-Zapp C, Bezek J, Jangraw DC, Brotman MA. Rationale and validation of a novel mobile application probing motor inhibition: Proof of concept of CALM-IT. PLoS One 2021; 16:e0252245. [PMID: 34086728 PMCID: PMC8177631 DOI: 10.1371/journal.pone.0252245] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 05/02/2021] [Indexed: 12/02/2022] Open
Abstract
Identification of behavioral mechanisms underlying psychopathology is essential for the development of novel targeted therapeutics. However, this work relies on rigorous, time-intensive, clinic-based laboratory research, making it difficult to translate research paradigms into tools that can be used by clinicians in the community. The broad adoption of smartphone technology provides a promising opportunity to bridge the gap between the mechanisms identified in the laboratory and the clinical interventions targeting them in the community. The goal of the current study is to develop a developmentally appropriate, engaging, novel mobile application called CALM-IT that probes a narrow biologically informed process, inhibitory control. We aim to leverage the rigorous and robust methods traditionally used in laboratory settings to validate this novel mechanism-driven but easily disseminatable tool that can be used by clinicians to probe inhibitory control in the community. The development of CALM-IT has significant implications for the ability to screen for inhibitory control deficits in the community by both clinicians and researchers. By facilitating assessment of inhibitory control outside of the laboratory setting, researchers could have access to larger and more diverse samples. Additionally, in the clinical setting, CALM-IT represents a novel clinical screening measure that could be used to determine personalized courses of treatment based on the presence of inhibitory control deficits.
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Affiliation(s)
- Elise M. Cardinale
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - Reut Naim
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - Simone P. Haller
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - Ramaris German
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - Christian Botz-Zapp
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - Jessica Bezek
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
| | - David C. Jangraw
- Department of Electrical and Biomedical Engineering, University of Vermont, Burlington, VT, United States of America
| | - Melissa A. Brotman
- Emotion & Development Branch, National Institute of Mental Health, Bethesda, MD, United States of America
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Jha MK, Fava M, Minhajuddin A, Chin Fatt C, Mischoulon D, Wakhlu N, Trombello JM, Cusin C, Trivedi MH. Anger attacks are associated with persistently elevated irritability in MDD: findings from the EMBARC study. Psychol Med 2021; 51:1355-1363. [PMID: 32138798 DOI: 10.1017/s0033291720000112] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND This report tests the association of self-reported symptoms of irritability with overt behavior of anger attacks (uncharacteristic sudden bouts of anger that are disproportionate to situation and associated with autonomic activation). METHODS Participants of the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care study who completed Massachusetts General Hospital Anger Attacks questionnaire were included (n = 293). At each visit, the 17-item Hamilton Depression Rating Scale and the 16-item Concise Associated Symptom Tracking scale were used to measure depression, anxiety, and irritability. In those with anger attacks present v. those without anger attacks, separate t tests and mixed model analyses compared afore-mentioned symptoms at baseline and changes with treatment respectively. As anger attacks may occur without aggressive behaviors, analyses were repeated based only on the presence of aggressive behaviors. RESULTS At baseline, those with anger attacks (n = 109) v. those without anger attacks (n = 184) had similar levels of depression but higher levels of irritability [effect size (d) = 0.80] and anxiety (d = 0.32). With acute-phase treatment, participants with anger attacks experienced a greater reduction in irritability (p < 0.001) but not in depression (p = 0.813) or anxiety (p = 0.771) as compared to those without anger attacks. Yet, irritability levels at week-8 were higher in those with anger attacks (d = 0.32) than those without anger attacks. Similar results were found in participants with aggressive behaviors. CONCLUSIONS The presence of anger attacks in outpatients with major depressive disorder may identify a sub-group of patients with persistently elevated irritability.
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Affiliation(s)
- Manish K Jha
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Abu Minhajuddin
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Cherise Chin Fatt
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - David Mischoulon
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Nausheen Wakhlu
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Joseph M Trombello
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Cristina Cusin
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, Peter O'Donnell Jr. Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
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54
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Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth. Neuropsychopharmacology 2021; 46:1300-1306. [PMID: 33479511 PMCID: PMC8134471 DOI: 10.1038/s41386-020-00954-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/17/2020] [Accepted: 12/23/2020] [Indexed: 01/30/2023]
Abstract
Irritability cuts across many pediatric disorders and is a common presenting complaint in child psychiatry; however, its neural mechanisms remain unclear. One core pathophysiological deficit of irritability is aberrant responses to frustrative nonreward. Here, we conducted a preliminary fMRI study to examine the ability of functional connectivity during frustrative nonreward to predict irritability in a transdiagnostic sample. This study included 69 youths (mean age = 14.55 years) with varying levels of irritability across diagnostic groups: disruptive mood dysregulation disorder (n = 20), attention-deficit/hyperactivity disorder (n = 14), anxiety disorder (n = 12), and controls (n = 23). During fMRI, participants completed a frustrating cognitive flexibility task. Frustration was evoked by manipulating task difficulty such that, on trials requiring cognitive flexibility, "frustration" blocks had a 50% error rate and some rigged feedback, while "nonfrustration" blocks had a 10% error rate. Frustration and nonfrustration blocks were randomly interspersed. Child and parent reports of the affective reactivity index were used as dimensional measures of irritability. Connectome-based predictive modeling, a machine learning approach, with tenfold cross-validation was conducted to identify networks predicting irritability. Connectivity during frustration (but not nonfrustration) blocks predicted child-reported irritability (ρ = 0.24, root mean square error = 2.02, p = 0.03, permutation testing, 1000 iterations, one-tailed). Results were adjusted for age, sex, medications, motion, ADHD, and anxiety symptoms. The predictive networks of irritability were primarily within motor-sensory networks; among motor-sensory, subcortical, and salience networks; and between these networks and frontoparietal and medial frontal networks. This study provides preliminary evidence that individual differences in irritability may be associated with functional connectivity during frustration, a phenotype-relevant state.
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Harrewijn A, Abend R, Naim R, Haller SP, Stavish CM, Bajaj MA, Matsumoto C, Dombek K, Cardinale EM, Kircanski K, Brotman MA. Attention bias to negative versus non-negative faces is related to negative affectivity in a transdiagnostic youth sample. J Psychiatr Res 2021; 138:514-518. [PMID: 33975068 PMCID: PMC8192477 DOI: 10.1016/j.jpsychires.2021.04.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 04/09/2021] [Accepted: 04/25/2021] [Indexed: 10/21/2022]
Abstract
This study identified a shared pathophysiological mechanism of pediatric anxiety and irritability. Clinically, anxiety and irritability are common, co-occurring problems, both characterized by high-arousal negative affective states. Behaviorally, anxiety and irritability are associated with aberrant threat processing. To build on these findings, we examined eye-tracking measures of attention bias in relation to the unique and shared features of anxiety and irritability in a transdiagnostic sample of youth (n = 97, 58% female, Mage = 13.03, SDage = 2.82). We measured attention bias to negative versus non-negative emotional faces during a passive viewing task. We employed bifactor analysis to parse the unique and shared variance of anxiety and irritability symptoms from self- and parent-report questionnaires. Negative affectivity is the derived latent factor reflecting shared variance of anxiety and irritability. We found that higher negative affectivity was associated with looking longer at negative versus non-negative faces, reflecting a shared mechanism of anxiety and irritability. This finding suggests that modification of elevated attention to negative emotional faces may represent a common potential treatment target of anxiety and irritability.
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Affiliation(s)
- Anita Harrewijn
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD, 20892, USA.
| | - Rany Abend
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Reut Naim
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Simone P. Haller
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Caitlin M. Stavish
- Department of Psychology, University of Washington, Roosevelt Way NE, Seattle, WA 98115, USA
| | - Mira A. Bajaj
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Chika Matsumoto
- University of California San Diego, School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Kelly Dombek
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Elise M. Cardinale
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Katharina Kircanski
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
| | - Melissa A. Brotman
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, Maryland 20892, USA
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Wilson MK, Cornacchio D, Brotman MA, Comer JS. Measuring Irritability in Early Childhood: A Psychometric Evaluation of the Affective Reactivity Index in a Clinical Sample of 3- to 8-Year-Old Children. Assessment 2021; 29:1473-1481. [PMID: 34060361 DOI: 10.1177/10731911211020078] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The parent-report Affective Reactivity Index (ARI-P) is the most studied brief scale specifically developed to assess irritability, but relatively little is known about its performance in early childhood (i.e., ≤8 years). Support in such populations is particularly important given developmental shifts in what constitutes normative irritability across childhood. We examined the performance of the ARI-P in a diverse, treatment-seeking sample of children ages 3 to 8 years (N = 115; mean age = 5.56 years; 58.4% from ethnic/racial minority backgrounds). In this sample, confirmatory factor analysis supported the single-factor structure of the ARI-P previously identified with older youth. ARI-P scores showed large associations with another irritability index, as well as small-to-large associations with aggression, anxiety, depression, and attention problems, supporting the convergent and concurrent validity of the ARI-P when used with children in this younger age range. Findings support the ARI-P as a promising parent-report tool for assessing irritability in early childhood, particularly in clinical samples.
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Emerging Evidence for Putative Neural Networks and Antecedents of Pediatric Anxiety in the Fetal, Neonatal, and Infant Periods. Biol Psychiatry 2021; 89:672-680. [PMID: 33518264 PMCID: PMC8087150 DOI: 10.1016/j.biopsych.2020.11.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 11/12/2020] [Accepted: 11/22/2020] [Indexed: 12/20/2022]
Abstract
Anxiety disorders are the most prevalent psychiatric disorders in youth and are associated with profound individual impairment and public health costs. Research shows that clinically significant anxiety symptoms manifest in preschool-aged children, and correlates of anxiety symptoms are observable in infancy. Yet, predicting who is at risk for developing anxiety remains an enduring challenge. Predictive biomarkers of anxiety are needed before school age when anxiety symptoms typically consolidate into diagnostic profiles. Increasing evidence indicates that early neural measures implicated in anxiety and anxious temperament may be incorporated with traditional measures of behavioral risk (i.e., behavioral inhibition) to provide more robust classification of pediatric anxiety problems. This review examines the phenomenology of anxiety disorders in early life, highlighting developmental research that interrogates the putative neurocircuitry of pediatric anxiety. First, we discuss enduring challenges in identifying and predicting risk for pediatric anxiety. Second, we summarize emerging evidence for putative neural antecedents and networks underlying risk for pediatric anxiety in the fetal, neonatal, and infant periods that represent novel potential avenues for risk identification and prediction. We focus on evidence examining the importance of early amygdala and extended amygdala circuitry development to the emergence of anxiety. Finally, we discuss the utility of integrating developmental psychopathology and neuroscience to facilitate future research and clinical work.
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Fitzgerald KD, Schroder HS, Marsh R. Cognitive Control in Pediatric Obsessive-Compulsive and Anxiety Disorders: Brain-Behavioral Targets for Early Intervention. Biol Psychiatry 2021; 89:697-706. [PMID: 33454049 PMCID: PMC8353584 DOI: 10.1016/j.biopsych.2020.11.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 10/19/2020] [Accepted: 11/03/2020] [Indexed: 12/18/2022]
Abstract
The DSM provides distinct criteria for obsessive-compulsive disorder (OCD) and various types of anxiety disorders, but phenomenological overlap, high rates of comorbidity, and early onset suggest common underlying mechanisms. This notion is further supported by use of the same treatments-cognitive behavioral therapy and serotonin reuptake inhibitor medication-for managing both OCD and non-OCD anxiety disorders in clinical settings. While early intervention with these gold standard treatments is recommended for pediatric OCD and anxiety disorders, young patients often remain symptomatic even after treatment. To guide the development of novel, mechanistically targeted treatments to better resolve OCD and anxiety symptoms, the identification of neural circuits underlying psychological constructs with relevance across disorders has been recommended. One construct that may be relevant for understanding pediatric OCD and anxiety disorders is cognitive control, given the difficulty that young patients experience in dismissing obsessions, compulsions, and worry despite recognition that these symptoms are excessive and unreasonable. In this review, we examine findings from a growing body of literature implicating brain-behavioral markers of cognitive control in pediatric OCD and anxiety disorders, including before and after treatment. We conclude by suggesting that interventions designed to enhance the functioning of the task control circuits underlying cognitive control may facilitate brain maturation to help affected youth overcome symptoms.
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Affiliation(s)
- Kate D Fitzgerald
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan.
| | - Hans S Schroder
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, Michigan; Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, Michigan
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York
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59
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Linke JO, Abend R, Kircanski K, Clayton M, Stavish C, Benson BE, Brotman MA, Renaud O, Smith SM, Nichols TE, Leibenluft E, Winkler AM, Pine DS. Shared and Anxiety-Specific Pediatric Psychopathology Dimensions Manifest Distributed Neural Correlates. Biol Psychiatry 2021; 89:579-587. [PMID: 33386133 PMCID: PMC7889729 DOI: 10.1016/j.biopsych.2020.10.018] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 10/16/2020] [Accepted: 10/27/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Imaging research has not yet delivered reliable psychiatric biomarkers. One challenge, particularly among youth, is high comorbidity. This challenge might be met through canonical correlation analysis designed to model mutual dependencies between symptom dimensions and neural measures. We mapped the multivariate associations that intrinsic functional connectivity manifests with pediatric symptoms of anxiety, irritability, and attention-deficit/hyperactivity disorder (ADHD) as common, impactful, co-occurring problems. We evaluate the replicability of such latent dimensions in an independent sample. METHODS We obtained ratings of anxiety, irritability, and ADHD, and 10 minutes of resting-state functional magnetic resonance imaging data, from two independent cohorts. Both cohorts (discovery: n = 182; replication: n = 326) included treatment-seeking youth with anxiety disorders, with disruptive mood dysregulation disorder, with ADHD, or without psychopathology. Functional connectivity was modeled as partial correlations among 216 brain areas. Using canonical correlation analysis and independent component analysis jointly we sought maximally correlated, maximally interpretable latent dimensions of brain connectivity and clinical symptoms. RESULTS We identified seven canonical variates in the discovery and five in the replication cohort. Of these canonical variates, three exhibited similarities across datasets: two variates consistently captured shared aspects of irritability, ADHD, and anxiety, while the third was specific to anxiety. Across cohorts, canonical variates did not relate to specific resting-state networks but comprised edges interconnecting established networks within and across both hemispheres. CONCLUSIONS Findings revealed two replicable types of clinical variates, one related to multiple symptom dimensions and a second relatively specific to anxiety. Both types involved a multitude of broadly distributed, weak brain connections as opposed to strong connections encompassing known resting-state networks.
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Affiliation(s)
- Julia O Linke
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
| | - Rany Abend
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Katharina Kircanski
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Michal Clayton
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Caitlin Stavish
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Brenda E Benson
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Melissa A Brotman
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Olivier Renaud
- Methodology and Data Analysis, Department of Psychology, University of Geneva, Switzerland
| | - Stephen M Smith
- Wellcome Trust Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Thomas E Nichols
- Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Anderson M Winkler
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
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Abstract
Anxiety disorders form the most common group of mental disorders and generally start before or in early adulthood. Core features include excessive fear and anxiety or avoidance of perceived threats that are persistent and impairing. Anxiety disorders involve dysfunction in brain circuits that respond to danger. Risk for anxiety disorders is influenced by genetic factors, environmental factors, and their epigenetic relations. Anxiety disorders are often comorbid with one another and with other mental disorders, especially depression, as well as with somatic disorders. Such comorbidity generally signifies more severe symptoms, greater clinical burden, and greater treatment difficulty. Reducing the large burden of disease from anxiety disorders in individuals and worldwide can be best achieved by timely, accurate disease detection and adequate treatment administration, scaling up of treatments when needed. Evidence-based psychotherapy (particularly cognitive behavioural therapy) and psychoactive medications (particularly serotonergic compounds) are both effective, facilitating patients' choices in therapeutic decisions. Although promising, no enduring preventive measures are available, and, along with frequent therapy resistance, clinical needs remain unaddressed. Ongoing research efforts tackle these problems, and future efforts should seek individualised, more effective approaches for treatment with precision medicine.
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Affiliation(s)
- Brenda Wjh Penninx
- Department of Psychiatry, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, Netherlands; GGZ inGeest, Amsterdam, Netherlands.
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Emily A Holmes
- Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt-Goethe University, Frankfurt, Germany
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61
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Baller EB, Kaczkurkin AN, Sotiras A, Adebimpe A, Bassett DS, Calkins ME, Chand GB, Cui Z, Gur RE, Gur RC, Linn KA, Moore TM, Roalf DR, Varol E, Wolf DH, Xia CH, Davatzikos C, Satterthwaite TD. Neurocognitive and functional heterogeneity in depressed youth. Neuropsychopharmacology 2021; 46:783-790. [PMID: 33007777 PMCID: PMC8027806 DOI: 10.1038/s41386-020-00871-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 09/08/2020] [Accepted: 09/10/2020] [Indexed: 12/19/2022]
Abstract
Depression is a common psychiatric illness that often begins in youth, and is sometimes associated with cognitive deficits. However, there is significant variability in cognitive dysfunction, likely reflecting biological heterogeneity. We sought to identify neurocognitive subtypes and their neurofunctional signatures in a large cross-sectional sample of depressed youth. Participants were drawn from the Philadelphia Neurodevelopmental Cohort, including 712 youth with a lifetime history of a major depressive episode and 712 typically developing (TD) youth matched on age and sex. A subset (MDD n = 368, TD n = 200) also completed neuroimaging. Cognition was assessed with the Penn Computerized Neurocognitive Battery. A recently developed semi-supervised machine learning algorithm was used to delineate neurocognitive subtypes. Subtypes were evaluated for differences in both clinical psychopathology and brain activation during an n-back working memory fMRI task. We identified three neurocognitive subtypes in the depressed group. Subtype 1 was high-performing (high accuracy, moderate speed), Subtype 2 was cognitively impaired (low accuracy, slow speed), and Subtype 3 was impulsive (low accuracy, fast speed). While subtypes did not differ in clinical psychopathology, they diverged in their activation profiles in regions critical for executive function, which mirrored differences in cognition. Taken together, these data suggest disparate mechanisms of cognitive vulnerability and resilience in depressed youth, which may inform the identification of biomarkers for prognosis and treatment response.
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Affiliation(s)
- Erica B Baller
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Antonia N Kaczkurkin
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Psychology, Vanderbilt University, Nashville, TN, 37235, USA
| | - Aristeidis Sotiras
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Washington University, St. Louis, MO, 63130, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Danielle S Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Penn Center for Neuroimaging and Therapeutics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Physics and Astronomy, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Ganesh B Chand
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zaixu Cui
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Raquel E Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Ruben C Gur
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Kristin A Linn
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tyler M Moore
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Erdem Varol
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Cedric H Xia
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Christos Davatzikos
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
- Lifespan Brain Institute, Penn Medicine and Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
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Schwarzer NH, Nolte T, Fonagy P, Gingelmaier S. Mentalizing and emotion regulation: Evidence from a nonclinical sample. INTERNATIONAL FORUM OF PSYCHOANALYSIS 2021. [DOI: 10.1080/0803706x.2021.1873418] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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63
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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: 211] [Impact Index Per Article: 52.8] [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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Piguet C, Mihailov A, Grigis A, Laidi C, Duchesnay E, Houenou J. Irritability Is Associated With Decreased Cortical Surface Area and Anxiety With Decreased Gyrification During Brain Development. Front Psychiatry 2021; 12:744419. [PMID: 34630188 PMCID: PMC8492928 DOI: 10.3389/fpsyt.2021.744419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/25/2021] [Indexed: 11/14/2022] Open
Abstract
Background: Brain development is of utmost importance for the emergence of psychiatric disorders, as the most severe of them arise before 25 years old. However, little is known regarding how early transdiagnostic symptoms, in a dimensional framework, are associated with cortical development. Anxiety and irritability are central vulnerability traits for subsequent mood and anxiety disorders. In this study, we investigate how these dimensions are related to structural changes in the brain to understand how they may increase the transition risk to full-blown disorders. Methods: We used the opportunity of an open access developmental cohort, the Healthy Brain Network, to investigate associations between cortical surface markers and irritability and anxiety scores as measured by parents and self-reports. Results: We found that in 658 young people (with a mean age of 11.6) the parental report of irritability is associated with decreased surface area in the bilateral rostral prefrontal cortex and the precuneus. Furthermore, parental reports of anxiety were associated with decreased local gyrification index in the anterior cingulate cortex and dorsomedial prefrontal cortex. Conclusions: These results are consistent with current models of emotion regulation network maturation, showing decreased surface area or gyrification index in regions associated with impaired affective control in mood and anxiety disorders. Our results highlight how dimensional traits may increase vulnerability for these disorders.
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Affiliation(s)
- Camille Piguet
- NeuroSpin, CEA, University Paris Saclay, Gif-sur-Yvette, France.,Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | | | - Antoine Grigis
- NeuroSpin, CEA, University Paris Saclay, Gif-sur-Yvette, France
| | - Charles Laidi
- NeuroSpin, CEA, University Paris Saclay, Gif-sur-Yvette, France.,Université Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Assistance Publique-Hôpitaux de Paris (AP-HP), DMU IMPACT, Mondor University Hospitals, Créteil, France
| | | | - Josselin Houenou
- NeuroSpin, CEA, University Paris Saclay, Gif-sur-Yvette, France.,Université Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Fondation FondaMental, Créteil, France.,Assistance Publique-Hôpitaux de Paris (AP-HP), DMU IMPACT, Mondor University Hospitals, Créteil, France
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65
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Zhang R, Bashford-Largo J, Lukoff J, Elowsky J, Carollo E, Schwartz A, Dobbertin M, Bajaj S, Blair KS, Leibenluft E, Blair RJR. Callous-Unemotional Traits Moderate the Relationship Between Irritability and Threatening Responding. Front Psychiatry 2021; 12:617052. [PMID: 34867494 PMCID: PMC8635046 DOI: 10.3389/fpsyt.2021.617052] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 10/25/2021] [Indexed: 11/28/2022] Open
Abstract
Background: Irritability and callous-unemotional (CU; reduced guilt/empathy) traits vary dimensionally in the typically developing population but may be particularly marked in youth with conduct disorder (CD). While these dimensional traits are positively correlated, they have been associated with divergent forms of dysfunction, particularly with respect to threat processing (i.e., irritability with increased, and CU traits with decreased, threat responsiveness). This suggests that interactions between these two dimensions may be complex at the neurobiological level. However, this issue has received minimal empirical attention. Methods: The study included 105 adolescents (typically developing and cases with CD; N = 59). They were scanned with fMRI during a looming threat task that involved images of threatening and neutral human faces or animals that appeared to be either looming or receding. Results: Significant irritability-by-CU traits-by-Direction-by-Emotion interactions were seen within right thalamus/PAG, left lingual gyrus and right fusiform gyrus; irritability was positively associated with the BOLD response for Looming Threatening vs. Receding Threatening trials, particularly for youth with low CU traits. In contrast, CU traits were negatively associated with the same differential BOLD response but particularly for youth showing higher levels of irritability. Similar findings were seen within left ventral anterior and posterior cingulate cortices, though the addition of the interaction with CU traits was only seen at slightly more lenient thresholds. Conclusions: The results support previous work linking irritability to increased, and CU traits to reduced, threat responsiveness. However, for adolescents with high irritability, if CU traits are also high, the underlying neuropathology appears to relate to reduced, rather than increased, threat responsiveness.
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Affiliation(s)
- Ru Zhang
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Johannah Bashford-Largo
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Jennie Lukoff
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Jaimie Elowsky
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Erin Carollo
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Amanda Schwartz
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Matthew Dobbertin
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Sahil Bajaj
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Karina S Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
| | - Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, Intramural Research Program, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
| | - R James R Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, United States
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66
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Emotion regulation in adolescents: Influences of internal representations of relationships - An ERP study. Int J Psychophysiol 2020; 160:1-9. [PMID: 33278467 DOI: 10.1016/j.ijpsycho.2020.11.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 11/17/2020] [Accepted: 11/19/2020] [Indexed: 01/10/2023]
Abstract
Emotion regulation (ER) strategies can decrease the intensity or modify the experience of emotions. Deficits in emotion regulation are implicated in a wide range of psychopathologies. It is argued that interpersonal, socio-cognitive, and developmental variables play an important role in ER. This is the first study to explore the contribution of individual differences in internal representations of relationships (IRR) to neural correlates of ER in a sample of adolescents. Event related potentials of 53 adolescents (12 to 17 years old) were collected while performing an ER task. IRR was assessed with the social cognition and object relations scale (SCORS-G; Westen, 1995) coding of narratives from interviews. Results show that individual differences in IRR significantly predicted the modulation of emotional responses by expressive suppression in adolescents, accounting for 48% of the variance of changes in occipital late positive potentials (LPP). Thus, it appears that IRR are implicated in an individual's ability to regulate emotions. The clinical implications of the findings are discussed.
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67
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Kryza-Lacombe M, Iturri N, Monk CS, Wiggins JL. Face Emotion Processing in Pediatric Irritability: Neural Mechanisms in a Sample Enriched for Irritability With Autism Spectrum Disorder. J Am Acad Child Adolesc Psychiatry 2020; 59:1380-1391. [PMID: 31541675 PMCID: PMC9831686 DOI: 10.1016/j.jaac.2019.09.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 07/20/2019] [Accepted: 09/05/2019] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Characterizing the pathophysiology of irritability symptoms from a dimensional perspective above and beyond diagnostic boundaries is key to developing mechanism-based interventions that can be applied broadly. Face emotion processing deficits are present in youths with elevated levels of irritability. The present study aimed to identify the neural mechanisms of face emotion processing in a sample enriched for irritability by including youths with high-functioning autism spectrum disorder (HF-ASD). METHOD Youths (N = 120, age = 8.3-19.2 years) completed an implicit face emotion task during functional magnetic resonance imaging. We evaluated how irritability, measured dimensionally, above and beyond diagnostic group, relates to whole-brain neural activation and amygdala connectivity in response to face emotions. RESULTS Both neural activation and amygdala connectivity differed as a function of irritability level and face emotion in the prefrontal cortex. Youths with higher irritability levels had decreased activation in response to both fearful and happy faces in the left middle frontal gyrus and to happy faces in the left inferior frontal gyrus. Furthermore, increased irritability levels were associated with altered right amygdala connectivity to the left superior frontal gyrus when viewing fearful and sad faces. CONCLUSION The neural mechanisms of face emotion processing differ in youths with higher irritability compared to their less irritable peers. The findings suggest that these irritability mechanisms may be common to both typically developing and HF-ASD youths. Understanding the neural mechanisms of pediatric irritability symptoms that cut across diagnostic boundaries may be leveraged for future intervention development.
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Affiliation(s)
- Maria Kryza-Lacombe
- Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego.
| | | | | | - Jillian Lee Wiggins
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology and the Department of Psychology, San Diego State University
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68
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Jha MK, Minhajuddin A, Chin Fatt C, Kircanski K, Stringaris A, Leibenluft E, Trivedi MH. Association between irritability and suicidal ideation in three clinical trials of adults with major depressive disorder. Neuropsychopharmacology 2020; 45:2147-2154. [PMID: 32663842 PMCID: PMC7784964 DOI: 10.1038/s41386-020-0769-x] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/19/2020] [Accepted: 07/08/2020] [Indexed: 12/19/2022]
Abstract
Irritability in pediatric samples is associated with higher rates of subsequent suicide-related outcomes. No study, to date, has evaluated the longitudinal association between irritability and suicidal ideation (SI) in adults with major depressive disorder (MDD). This report evaluated whether irritability is associated with SI at the same visit (i.e., concurrently) and whether early changes in irritability with antidepressant treatment predict subsequent levels of SI. Participants of Combining Medications to Enhance Depression Outcomes (CO-MED, n = 665), Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC, n = 296), and Suicide Assessment Methodology Study (SAMS, n = 266) were included. Repeated-measures mixed model analyses evaluated concurrent association throughout the trial between irritability (five-item irritability domain of Concise Associated Symptom Tracking scale) and SI (three-item suicidal thoughts factor of Concise Health Risk Tracking scale) after controlling for overall depression (excluding suicidality-related item), and predicted subsequent levels of SI (repeated observations from week-2-to-week-8) based on early (baseline-to-week-2) changes in irritability after controlling for early changes in overall depression. Higher irritability was associated with higher SI concurrently; estimates (standard error) were 0.18 (0.02, p < 0.0001), 0.64 (0.02, p < 0.0001), and 0.26 (0.04, p < 0.0001) in CO-MED, EMBARC, and SAMS respectively. Greater baseline-to-week-2 reductions in irritability predicted lower levels of subsequent SI; estimates (standard errors) were -0.08 (0.03, p = 0.023), -0.50 (0.05, p < 0.0001), and -0.12 (0.05, p = 0.024) in CO-MED, EMBARC, and SAMS, respectively. Controlling for anxiety or insomnia produced similar results. In conclusion, irritability and SI were consistently linked in adults with MDD. These findings support careful assessment of irritability in suicide risk assessment.
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Affiliation(s)
- Manish K Jha
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY, 10029, USA
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9119, USA
| | - Abu Minhajuddin
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9119, USA
| | - Cherise Chin Fatt
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9119, USA
| | | | - Argyris Stringaris
- National Institute of Mental Health, 10 Center Dr, Bethesda, MD, 20814, USA
| | - Ellen Leibenluft
- National Institute of Mental Health, 10 Center Dr, Bethesda, MD, 20814, USA
| | - Madhukar H Trivedi
- Center for Depression Research and Clinical Care, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390-9119, USA.
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ZHANG L, YAO B, ZHANG X, XU H. Effects of Irritability of the Youth on Subjective Well-Being: Mediating Effect of Coping Styles. IRANIAN JOURNAL OF PUBLIC HEALTH 2020; 49:1848-1856. [PMID: 33346241 PMCID: PMC7719647 DOI: 10.18502/ijph.v49i10.4685] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/21/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND The global COVID-19 pandemic caused great impacts and influences to human psychology. As a result, youths who are kept at home for a long time easily develop irritability and problematic behaviors. However, relatively little attention has been paid to the relations among irritability, coping style, and subjective well-being of the youth. METHODS Overall, 1,033 youth respondents (aged 18-30 yr) from seven provinces in China were investigated in 2020 using the irritability, depression, and anxiety scale, coping style scale, and well-being index scale. RESULTS Among the dimensions of irritability of the youth, anxiety received the highest score, followed by introversion irritability, extroversion irritability, and depression. Irritability had significant regional differences. The total score of irritability among rural youth was significantly higher than that of urban youth (P<0.05). The irritability level of youths with parents' emotional status was harmonious and good relations with family members and peers was far lower than those of youths who have poor relations between parents, family members, and peers (P<0.05). The irritability level of youths with a lower monthly household income was higher (P<0.05). Irritability of the youth had significantly negative correlations with positive response and SWB, and it had a significantly positive correlative with negative response. Coping style can mediate the relationship between irritability and SWB of the youth to some extent. CONCLUSION Significant correlations exist among irritability, coping style, and SWB of the youth. Irritability can be used to predict SWB indirectly through positive response.
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Affiliation(s)
- Ling ZHANG
- Center for Mental Health, Shaoxing University, Shaoxing, China
| | - Benxian YAO
- College of Educational Science, Anhui Normal University, Wuhu, China
| | - Xiaodan ZHANG
- College of Teacher Education, Hefei Normal University, Hefei, China
| | - Hao XU
- Center for Mental Health, Shaoxing University, Shaoxing, China
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Smith AR, Haller SP, Haas SA, Pagliaccio D, Behrens B, Swetlitz C, Bezek JL, Brotman MA, Leibenluft E, Fox NA, Pine DS. Emotional distractors and attentional control in anxious youth: eye tracking and fMRI data. Cogn Emot 2020; 35:110-128. [PMID: 32954946 DOI: 10.1080/02699931.2020.1816911] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Attentional control theory suggests that high cognitive demands impair the flexible deployment of attention control in anxious adults, particularly when paired with external threats. Extending this work to pediatric anxiety, we report two studies utilising eye tracking (Study 1) and functional magnetic resonance imaging (Study 2). Both studies use a visual search paradigm to examine anxiety-related differences in the impact of threat on attentional control at varying levels of task difficulty. In Study 1, youth ages 8-18 years (N = 109), completed the paradigm during eye tracking. Results indicated that youth with more severe anxiety took longer to fixate on and identify the target, specifically on difficult trials, compared to youth with less anxiety. However, no anxiety-related effects of emotional distraction (faces) emerged. In Study 2, a separate cohort of 8-18-year-olds (N = 72) completed a similar paradigm during fMRI. Behaviourally, youth with more severe anxiety were slower to respond on searches following non-threatening, compared to threatening, distractors, but this effect did not vary by task difficulty. The same interaction emerged in the neuroimaging analysis in the superior parietal lobule and precentral gyrus-more severe anxiety was associated with greater brain response following non-threatening distractors. Theoretical implications of these inconsistent findings are discussed.
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Affiliation(s)
- Ashley R Smith
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Simone P Haller
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Sara A Haas
- Uppsala Child and Baby Lab, Department of Psychology, Uppsala University, Uppsala, Sweden
| | - David Pagliaccio
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, Columbia University, New York, NY, USA
| | - Brigid Behrens
- Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
| | - Caroline Swetlitz
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Jessica L Bezek
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Melissa A Brotman
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
| | - Nathan A Fox
- College of Education, University of Maryland, College Park, MD, USA
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
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Liuzzi MT, Kryza-Lacombe M, Christian IR, Palumbo D, Amir N, Wiggins JL. Neural and behavioral correlates of inhibitory control in youths with varying levels of irritability. J Affect Disord 2020; 273:567-575. [PMID: 32560955 PMCID: PMC7945044 DOI: 10.1016/j.jad.2020.04.049] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 04/24/2020] [Accepted: 04/27/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Irritability, a relatively lowered threshold for anger, is prevalent in typically and atypically developing youths. Inhibitory control, the ability to suppress behaviors counter to goals, is essential for regulating emotions, including anger. Understanding how irritability relates to behavioral and neural markers of inhibitory control may inform interventions. METHODS Youths (N=52; mean age=13.78) completed a Flanker task on an iPad to measure behavioral correlates of inhibitory control; a subsample (n=19; mean age=13.21) additionally completed a similar task while undergoing fMRI acquisition to evaluate inhibitory control on a neural level. Irritability was measured using the Affective Reactivity Index. Associations between irritability and inhibitory control were evaluated behaviorally (via Pearson correlations), and neurally (via ANCOVAs with whole-brain activation and amygdala connectivity). RESULTS fMRI results indicated that higher levels of irritability were associated with aberrant activation (in middle frontal gyrus, amygdala/parahippocampal gyrus, anterior cingulate, lentiform nucleus/striatum) and left amygdala connectivity (with middle temporal gyrus, parahippocampal gyrus, posterior cingulate, fusiform gyrus, and thalamus). Behavioral results were mixed. LIMITATIONS Longitudinal studies are needed to characterize changes in neural circuitry and delineate whether the brain profiles precede or are a consequence of symptoms. Larger samples powered to examine multiple irritability-related symptom dimensions will be necessary to elucidate shared vs. disorder-specific irritability mechanisms. CONCLUSIONS Findings suggest that pediatric irritability may be related to neural processes involving inhibitory control. Further, findings underscore the importance of neuroimaging in investigating symptom dimensions such as irritability, as neuroimaging may be more sensitive in detecting underlying abnormalities compared to behavioral data alone.
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Affiliation(s)
- Michael T. Liuzzi
- San Diego State University, Department of Psychology, San Diego, CA, U.S.A
| | - Maria Kryza-Lacombe
- San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, U.S.A
| | | | - Danielle Palumbo
- San Diego State University, Department of Psychology, San Diego, CA, U.S.A
| | - Nader Amir
- San Diego State University, Department of Psychology, San Diego, CA, U.S.A.,San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, U.S.A
| | - Jillian Lee Wiggins
- San Diego State University, Department of Psychology, San Diego, CA, U.S.A.,San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, U.S.A
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72
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Deveney CM, Grasso D, Hsu A, Pine DS, Estabrook CR, Zobel E, Burns JL, Wakschlag LS, Briggs-Gowan MJ. Multi-method assessment of irritability and differential linkages to neurophysiological indicators of attention allocation to emotional faces in young children. Dev Psychobiol 2020; 62:600-616. [PMID: 31631345 PMCID: PMC7328764 DOI: 10.1002/dev.21930] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 08/25/2019] [Accepted: 09/09/2019] [Indexed: 01/31/2023]
Abstract
Facilitated attention toward angry stimuli (attention bias) may contribute to anger proneness and temper outbursts exhibited by children with high irritability. However, most studies linking attention bias and irritability rely on behavioral measures with limited precision and no studies have explored these associations in young children. The present study explores irritability-related attention biases toward anger in young children (N = 128; ages 4-7 years) engaged in a dot-probe task with emotional faces, as assessed with event-related brain potential (ERP) indices of early selective attention and multi-method assessment of irritability. Irritability assessed via semi-structured clinical interview predicted larger anterior N1 amplitudes to all faces. In contrast, irritability assessed via a laboratory observation paradigm predicted reduced P1 amplitudes to angry relative to neutral faces. These findings suggest that altered early attentional processing occurs in young children with high irritability; however, the nature of these patterns may vary with methodological features of the irritability assessments. Future investigations using different assessment tools may provide greater clarity regarding the underlying neurocognitive correlates of irritability. Such studies may also contribute to the ongoing debates about how to best define and measure irritability across the developmental spectrum in a manner that is most informative for linkage to neural processes.
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Affiliation(s)
| | - Damion Grasso
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Amy Hsu
- Department of Psychology, Wellesley College, Wellesley, MA, USA
| | - Daniel S. Pine
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Christopher R. Estabrook
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, USA
| | - Elvira Zobel
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - James L. Burns
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Lauren S. Wakschlag
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, USA
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Kryza-Lacombe M, Kiefer C, Schwartz KT, Strickland K, Wiggins JL. Attention shifting in the context of emotional faces: Disentangling neural mechanisms of irritability from anxiety. Depress Anxiety 2020; 37:645-656. [PMID: 32253797 PMCID: PMC8312255 DOI: 10.1002/da.23010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 01/31/2020] [Accepted: 02/24/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Irritability predicts concurrent and prospective psychiatric disorders across the lifespan. Anxiety commonly co-occurs with irritability, and such comorbidity complicates care. Understanding the mechanisms of comorbid traits is necessary to inform treatment decisions. This study aimed to disentangle neural mechanisms of irritability from anxiety in the context of attentional shifting toward and away from emotional faces in youths from treatment-seeking families. METHODS Youths (N = 45), mean age = 14.01 years (standard deviation = 1.89) completed a dot-probe task during functional magnetic resonance imaging acquisition. Whole-brain activation analyses evaluated the effect of irritability on neural reactivity in the context of varying attentional shifting toward and away from emotional faces, both depending on and above and beyond anxiety (i.e., with anxiety as [a] a moderator and [b] a covariate, respectively). RESULTS Higher irritability levels related to distinct task-related patterns of cuneus activation, depending on comorbid anxiety levels. Increased irritability also related to distinct task-related patterns of parietal, temporal, occipital, and cerebellar activation, controlling for anxiety. Overall, youths with higher levels of irritability evinced more pronounced fluctuations in neural reactivity across task conditions. CONCLUSION The present study contributes to a literature delineating the unique and shared neural mechanisms of overlapping symptom dimensions, which will be necessary to ultimately build a brain- and behavior-based nosology that forms the basis for more targeted and effective treatments.
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Affiliation(s)
- Maria Kryza-Lacombe
- San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Cynthia Kiefer
- Department of Psychology, San Diego State University, San Diego, California
| | - Karen T.G. Schwartz
- San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, California
| | - Katie Strickland
- Department of Psychology, San Diego State University, San Diego, California
| | - Jillian Lee Wiggins
- San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, California,Department of Psychology, San Diego State University, San Diego, California
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74
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Comorbid anxiety and irritability symptoms and their association with cognitive functioning in children with ADHD. JOURNAL OF ABNORMAL CHILD PSYCHOLOGY 2020; 48:1035-1046. [PMID: 32462307 DOI: 10.1007/s10802-020-00658-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Anxiety and irritability symptoms frequently co-occur in children with Attention-Deficit/Hyperactivity Disorder (ADHD). This study aims to investigate whether irritability and anxiety are uniquely associated with performance on measures of cognitive functioning in children with ADHD and whether these associations hold when accounting for confounding variables. Baseline data was used from a randomised controlled trial of cognitive behavioural therapy for anxiety in children with ADHD (N = 219, 8-13 years). Anxiety was assessed using the child- and parent-reported Spence Children's Anxiety Scale, while irritability was assessed using the parent-reported Affective Reactivity Index. Children completed the National Institutes of Health Toolbox - Cognition Battery. Higher symptoms of anxiety were uniquely associated with performance on the Dimensional Card Change Sort Test (β = -2.75, confidence interval (CI) [-4.97, -.52], p = .02) and the List Sort Working Memory Test (β = -2.57, CI [-4.43, -.70], p = .01), while higher symptoms of irritability were negatively associated with Picture Vocabulary Test (β = -2.00, CI [-3.83, -.16], p = .03). These associations did not survive correction for multiple comparisons. There was little evidence of an association between anxiety or irritability symptoms and cognitive functioning. Frequent co-occurrence of anxiety and irritability suggests clinicians working with children with ADHD should assess co-morbid symptom profiles to inform the provision of optimum care.
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75
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Trait irritability and social cue identification and interpretation in young adult females. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2019.109751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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76
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Advances in the Conceptualization, Assessment, and Treatment of Pediatric Irritability. Behav Ther 2020; 51:207-210. [PMID: 32138932 DOI: 10.1016/j.beth.2019.10.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 10/22/2019] [Accepted: 10/22/2019] [Indexed: 11/23/2022]
Abstract
Pediatric irritability is a functionally impairing transdiagnostic symptom underlying a substantial proportion of child mental health referrals. The past 20 years have witnessed a striking uptick in empirical work focused on pediatric irritability, with increasing recognition of its role across multiple internalizing and externalizing disorders. That said, it has only been in recent years that research has begun to make advances in understanding the natural course and neurobiological underpinnings of irritability across development; research directly informing effective clinical management of pediatric irritability has been limited. At this critical stage in the study of pediatric irritability, this special series brings together the latest work from leading experts across three interrelated domains: (a) progress in understanding the phenomenology and course of pediatric irritability; (b) advances in the assessment of pediatric irritability; and (c) innovations in the treatment of pediatric irritability. The papers in this special series collectively offer critical steps forward for better understanding pediatric irritability and improving proper assessment, classification, and clinical management.
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77
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Evans SC, Blossom JB, Fite PJ. Exploring Longitudinal Mechanisms of Irritability in Children: Implications for Cognitive-Behavioral Intervention. Behav Ther 2020; 51:238-252. [PMID: 32138935 DOI: 10.1016/j.beth.2019.05.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Revised: 03/30/2019] [Accepted: 05/10/2019] [Indexed: 12/19/2022]
Abstract
Severe irritability is a common and clinically important problem longitudinally associated with internalizing and externalizing problems in children. To better understand these mechanisms and to inform treatment research, we tested cognitive-behavioral processes as candidate mediators in the paths from irritability to later problems. Methods: A school sample (N = 238, 48% female, ages 8-10) was assessed at ~6-month intervals in fall (T1) and spring (T2) of third to fourth grade, and again the following fall (T3). Measures assessed irritability (T1/predictor); anger and sadness coping, intolerance of uncertainty, and rumination; (T1-T2/mediators); and anxiety, depressive symptoms, reactive aggression, and oppositionality (T1-T3/outcomes). Focused cross-lagged panel models, controlling for gender and grade, were specified to examine full (XT1 ➔ MT2 ➔ YT3) and half (XT1 ➔ MT2; MT1 ➔ YT2) longitudinal mediation. Across one or more intervals, irritability predicted higher depressive symptoms, anxiety, reactive aggression, oppositionality, intolerance of uncertainty, and poor emotion coping. From T1 irritability to T2/T3 outcomes, mediation was found for poor sadness coping leading to reactive aggression and oppositionality; poor anger coping to anxiety, depressive symptoms, and oppositionality; and intolerance of uncertainty to anxiety. Results offer further evidence for internalizing and externalizing outcomes of youth irritability and new evidence suggesting underlying mechanisms. Irritability may confer risk for externalizing problems via poor sadness/anger coping, and for internalizing problems via poor anger coping and intolerance of uncertainty. Theoretical models and psychosocial treatment should consider addressing regulation of various unpleasant emotions as well as psychological flexibility and tolerating uncertainty.
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Affiliation(s)
| | - Jennifer B Blossom
- Seattle Children's Hospital and University of Washington School of Medicine
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78
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Huang Z, Endo K, Yamasaki S, Fujikawa S, Ando S, Hiraiwa-Hasegawa M, Kasai K, Nishida A, Koike S. Bi-Directional Relationships Between Psychological Symptoms and Environmental Factors in Early Adolescence. Front Psychiatry 2020; 11:574182. [PMID: 33101088 PMCID: PMC7495193 DOI: 10.3389/fpsyt.2020.574182] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 08/14/2020] [Indexed: 12/02/2022] Open
Abstract
AIM Bi-directional relationships between various environmental factors and psychological symptoms can be seen from childhood to adolescence; however, there has been little prospective cohort study, which investigated the relationships simultaneously. In this study, we first distinguished specific psychological symptoms from general psychopathology using bifactor modeling and then tested the relationships between psychological symptoms and environmental factors from childhood to early adolescence using a structural equation model (SEM). METHODS The analyses were based on Tokyo TEEN Cohort (TTC) data collected between October 2012 and March 2016. We obtained self-reported psychological symptoms and environmental factors from both parents and children (at their ages of 10 and 12). Participants were 3,171 children aged 10 [girls = 1,487 (46.9%), mean age, SD = 10.2, 0.28] and subsequently 12 (N = 3,007, follow-up rate 94.8%, mean age, SD = 12.2, 0.31) from three municipalities in Tokyo area. RESULTS The best-fit symptom models included four unique factors and general psychopathology as the common factor. Combining the good fit bifactor model and the SEM, positive relationships between symptoms and environmental factors at the same waves and some bi-directional relationships were found. Especially, general psychopathology at age 10 was associated with bullying at age 12 and parental depressive symptoms at age 10 with general psychopathology at age 12. However, some negative relationships such as bullying/bullied involvement and later psychological symptoms were also seen. CONCLUSION By using the newly introduced methodology, our results were partly consistent with previous literature. Further studies are needed to validate this methodology and accelerate the findings regarding the emergence of psychological symptoms and the impact of environmental factors from childhood to early adolescence.
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Affiliation(s)
- Ziyan Huang
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan.,Department of Medical Science, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Kaori Endo
- Department of Psychiatry and Behavioural Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Syudo Yamasaki
- Department of Psychiatry and Behavioural Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Shuntaro Ando
- Department of Psychiatry and Behavioural Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.,Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Mariko Hiraiwa-Hasegawa
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, SOKENDAI (The Graduate University for Advanced Studies), Kanagawa, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.,University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), Tokyo, Japan
| | - Atsushi Nishida
- Department of Psychiatry and Behavioural Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
| | - Shinsuke Koike
- Center for Evolutionary Cognitive Sciences, Graduate School of Art and Sciences, University of Tokyo, Tokyo, Japan.,University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), Tokyo, Japan.,University of Tokyo Center for Integrative Science of Human Behavior (CiSHuB), Tokyo, Japan.,The International Research Center for Neurointelligence (WPI-IRCN), Institutes for Advanced Study (UTIAS), Tokyo, Japan
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79
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Linke JO. The Uncinate Fasciculus in Anxiety Disorders: A Potential Treatment Target? Biol Psychiatry 2019; 86:e47-e48. [PMID: 31753104 DOI: 10.1016/j.biopsych.2019.09.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 09/24/2019] [Indexed: 11/19/2022]
Affiliation(s)
- Julia O Linke
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
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80
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Jirsaraie RJ, Kaczkurkin AN, Rush S, Piiwia K, Adebimpe A, Bassett DS, Bourque J, Calkins ME, Cieslak M, Ciric R, Cook PA, Davila D, Elliott MA, Leibenluft E, Murtha K, Roalf DR, Rosen AFG, Ruparel K, Shinohara RT, Sotiras A, Wolf DH, Davatzikos C, Satterthwaite TD. Accelerated cortical thinning within structural brain networks is associated with irritability in youth. Neuropsychopharmacology 2019; 44:2254-2262. [PMID: 31476764 PMCID: PMC6897907 DOI: 10.1038/s41386-019-0508-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 08/01/2019] [Accepted: 08/14/2019] [Indexed: 11/09/2022]
Abstract
Irritability is an important dimension of psychopathology that spans multiple clinical diagnostic categories, yet its relationship to patterns of brain development remains sparsely explored. Here, we examined how transdiagnostic symptoms of irritability relate to the development of structural brain networks. All participants (n = 137, 83 females) completed structural brain imaging with 3 Tesla MRI at two timepoints (mean age at follow-up: 21.1 years, mean inter-scan interval: 5.2 years). Irritability at follow-up was assessed using the Affective Reactivity Index, and cortical thickness was quantified using Advanced Normalization Tools software. Structural covariance networks were delineated using non-negative matrix factorization, a multivariate analysis technique. Both cross-sectional and longitudinal associations with irritability at follow-up were evaluated using generalized additive models with penalized splines. The False Discovery Rate (q < 0.05) was used to correct for multiple comparisons. Cross-sectional analysis of follow-up data revealed that 11 of the 24 covariance networks were associated with irritability, with higher levels of irritability being associated with thinner cortex. Longitudinal analyses further revealed that accelerated cortical thinning within nine networks was related to irritability at follow-up. Effects were particularly prominent in brain regions implicated in emotion regulation, including the orbitofrontal, lateral temporal, and medial temporal cortex. Collectively, these findings suggest that irritability is associated with widespread reductions in cortical thickness and accelerated cortical thinning, particularly within the frontal and temporal cortex. Aberrant structural maturation of regions important for emotional regulation may in part underlie symptoms of irritability.
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Affiliation(s)
- Robert J Jirsaraie
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Antonia N Kaczkurkin
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sage Rush
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kayla Piiwia
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Danielle S Bassett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Physics & Astronomy, College of Arts & Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Josiane Bourque
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Monica E Calkins
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Matthew Cieslak
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rastko Ciric
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Philip A Cook
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Diego Davila
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mark A Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, National Institute of Mental Health (NIMH), 9000 Rockville Pike, Bethesda, MD, 20892, USA
| | - Kristin Murtha
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David R Roalf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Adon F G Rosen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kosha Ruparel
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Russell T Shinohara
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Aristeidis Sotiras
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Christos Davatzikos
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Theodore D Satterthwaite
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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81
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Overlapping dimensional phenotypes of impulsivity and compulsivity explain co-occurrence of addictive and related behaviors. CNS Spectr 2019; 24:426-440. [PMID: 30458896 DOI: 10.1017/s1092852918001244] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Impulsivity and compulsivity have been implicated as important transdiagnostic dimensional phenotypes with potential relevance to addiction. We aimed to develop a model that conceptualizes these constructs as overlapping dimensional phenotypes and test whether different components of this model explain the co-occurrence of addictive and related behaviors. METHODS A large sample of adults (N = 487) was recruited through Amazon's Mechanical Turk and completed self-report questionnaires measuring impulsivity, intolerance of uncertainty, obsessive beliefs, and the severity of 6 addictive and related behaviors. Hierarchical clustering was used to organize addictive behaviors into homogenous groups reflecting their co-occurrence. Structural equation modeling was used to evaluate fit of the hypothesized bifactor model of impulsivity and compulsivity and determine the proportion of variance explained in the co-occurrence of addictive and related behaviors by each component of the model. RESULTS Addictive and related behaviors clustered into 2 distinct groups: Impulse-Control Problems, consisting of harmful alcohol use, pathological gambling, and compulsive buying, and Obsessive-Compulsive-Related Problems, consisting of obsessive-compulsive symptoms, binge eating, and internet addiction. The hypothesized bifactor model of impulsivity and compulsivity provided the best empirical fit, with 3 uncorrelated factors corresponding to a general Disinhibition dimension, and specific Impulsivity and Compulsivity dimensions. These dimensional phenotypes uniquely and additively explained 39.9% and 68.7% of the total variance in Impulse-Control Problems and Obsessive-Compulsive-Related Problems. CONCLUSION A model of impulsivity and compulsivity that represents these constructs as overlapping dimensional phenotypes has important implications for understanding addictive and related behaviors in terms of shared etiology, comorbidity, and potential transdiagnostic treatments.
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82
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Dennis EL, Humphreys KL, King LS, Thompson PM, Gotlib IH. Irritability and brain volume in adolescents: cross-sectional and longitudinal associations. Soc Cogn Affect Neurosci 2019; 14:687-698. [PMID: 31309969 PMCID: PMC6778832 DOI: 10.1093/scan/nsz053] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 05/15/2019] [Accepted: 06/26/2019] [Indexed: 01/06/2023] Open
Abstract
Irritability is garnering increasing attention in psychiatric research as a transdiagnostic marker of both internalizing and externalizing disorders. These disorders often emerge during adolescence, highlighting the need to examine changes in the brain and in psychological functioning during this developmental period. Adolescents were recruited for a longitudinal study examining the effects of early life stress on the development of psychopathology. The 151 adolescents (73 M/78 F, average age = 11.5 years, standard deviation = 1.1) were scanned with a T1-weighted MRI sequence and parents completed reports of adolescent irritability using the Affective Reactivity Index. Of these 151 adolescents, 94 (46 M/48 F) returned for a second session (average interval = 1.9 years, SD = 0.4). We used tensor-based morphometry to examine cross-sectional and longitudinal associations between irritability and regional brain volume. Irritability was associated with brain volume across a number of regions. More irritable individuals had larger hippocampi, insula, medial orbitofrontal cortex and cingulum/cingulate cortex and smaller putamen and internal capsule. Across the brain, more irritable individuals also had larger volume and less volume contraction in a number of areas that typically decrease in volume over the developmental period studied here, suggesting delayed maturation. These structural changes may increase adolescents' vulnerability for internalizing and externalizing disorders.
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Affiliation(s)
- Emily L Dennis
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, USA
- Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA 94305, USA
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California (USC), Marina del Rey, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Kathryn L Humphreys
- Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA 94305, USA
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
| | - Lucy S King
- Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA 94305, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California (USC), Marina del Rey, CA, USA
| | - Ian H Gotlib
- Stanford Neurodevelopment, Affect, and Psychopathology Laboratory, Stanford, CA 94305, USA
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83
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Abend R, Rosenfelder A, Shamai D, Pine DS, Tavor I, Assaf Y, Bar-Haim Y. Brain structure changes induced by attention bias modification training. Biol Psychol 2019; 146:107736. [PMID: 31352029 DOI: 10.1016/j.biopsycho.2019.107736] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 07/02/2019] [Accepted: 07/24/2019] [Indexed: 02/06/2023]
Abstract
Attention bias modification (ABM) therapy aims to reduce anxiety by changing threat-related attention patterns using computerized training tasks. We examined changes in brain microstructure following ABM training. Thirty-two participants were randomly assigned to one of two training conditions: active ABM training shifting attention away from threat or attention control training involving no attention modification. Participants completed six lab visits, including five training sessions and three diffusion tensor imaging scans: immediately before and after the first training session, and at the end of the training series. Indices of local and global changes in microstructure and connectivity were measured. Significant longitudinal differences in fractional anisotropy (FA) between the active and control training regimens occurred in inferior temporal cortex. Changes in FA occurred across groups within ventromedial prefrontal cortex and middle occipital gyrus. These results indicate specific effects of active ABM on brain structure. Such changes could relate to clinical effects of ABM.
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Affiliation(s)
- Rany Abend
- Section on Development and Affective Neuroscience, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Ariel Rosenfelder
- School of Psychological Sciences, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel
| | - Dana Shamai
- School of Psychological Sciences, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel; Sagol School of Neuroscience, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel
| | - Daniel S Pine
- Section on Development and Affective Neuroscience, National Institute of Mental Health, 9000 Rockville Pike, Bethesda, MD 20892, USA
| | - Ido Tavor
- Sagol School of Neuroscience, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel; Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel
| | - Yaniv Assaf
- Department of Neurobiology, George S. Wise Faculty of Life Sciences, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel; Sagol School of Neuroscience, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel
| | - Yair Bar-Haim
- School of Psychological Sciences, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel; Sagol School of Neuroscience, Tel Aviv University, P.O. Box 39040, Tel Aviv 69978, Israel
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84
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Kircanski K, Craske MG, Averbeck BB, Pine DS, Leibenluft E, Brotman MA. Exposure therapy for pediatric irritability: Theory and potential mechanisms. Behav Res Ther 2019; 118:141-149. [PMID: 31085355 PMCID: PMC6590706 DOI: 10.1016/j.brat.2019.04.007] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Revised: 03/20/2019] [Accepted: 04/17/2019] [Indexed: 01/05/2023]
Abstract
Pediatric irritability is prevalent and impairing, yet little is known about its pathophysiology and treatment. In this article, we build on our and others' previous work to posit core mechanisms of irritability operating across the brain, behavior, and environment. Specifically, we propose proximal processes that surround the symptomatology of irritability and are potential targets for an exposure-based cognitive-behavioral therapy (CBT) for irritability that our group has developed. The heart of this model focuses on neurocognitive processes: youth's encoding of nonreward and threat stimuli, which involves prediction error signaling in the brain, and cognitive control in the context of frustration. Alterations in these processes are theorized to be central to chronic, severe irritability. Environmental responses to youth's symptom expression are also examined. Exposure-based CBT for irritability utilizes controlled, in vivo exposure to nonreward and threat stimuli with the aim to engage cognitive control and target top-down regulation of frustration. This intervention integrates selected parent management training techniques to target symptom reinforcement processes. Continued pathophysiological and treatment studies of irritability will not only refine our emerging understanding of the phenotype, but also inform broader questions on the brain and behavioral mechanisms of CBT efficacy.
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Affiliation(s)
- Katharina Kircanski
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Building 15K, Bethesda, MD, 20892-2670, USA.
| | - Michelle G Craske
- Department of Psychology, University of California-Los Angeles, 1285 Franz Hall, Los Angeles, CA, 90025, USA
| | - Bruno B Averbeck
- Laboratory of Neuropsychology, National Institute of Mental Health, 9000 Rockville Pike, Building 49, Bethesda, MD, 20892-4415, USA
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Building 15K, Bethesda, MD, 20892-2670, USA
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Building 15K, Bethesda, MD, 20892-2670, USA
| | - Melissa A Brotman
- Emotion and Development Branch, National Institute of Mental Health, 9000 Rockville Pike, Building 15K, Bethesda, MD, 20892-2670, USA
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McLean MA, Cobham VE, Simcock G, Kildea S, King S. Toddler Temperament Mediates the Effect of Prenatal Maternal Stress on Childhood Anxiety Symptomatology: The QF2011 Queensland Flood Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16111998. [PMID: 31195616 PMCID: PMC6603961 DOI: 10.3390/ijerph16111998] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 05/30/2019] [Accepted: 06/03/2019] [Indexed: 12/27/2022]
Abstract
It is not known whether alterations to temperamental characteristics associated with prenatal maternal stress (PNMS) exposure account for the development of childhood anxiety symptomatology (internalizing behaviors and anxiety symptoms). The QF2011 Queensland flood study examined whether (1) toddler temperamental characteristics explained the association between PNMS exposure and childhood anxiety symptomatology; and (2) whether effects were dependent upon child sex or the timing of gestational exposure to PNMS. We investigated the effects of various aspects of flood-related stress in pregnancy (objective hardship, cognitive appraisal, subjective distress) on maternal report of 16-month toddler temperament (attentional control, shy-inhibition, negative reactivity), 4-year maternal-reported childhood anxiety symptomatology (internalizing and anxiety symptoms; N = 104), and teacher reports of internalizing behaviors (N = 77). Severity of maternal objective hardship during pregnancy and shy-inhibited behaviors were uniquely associated with 4-year child anxiety symptoms. Mediation analyses found that higher levels of 16-month negative reactivity accounted, in part, for the relationship between increased maternal objective flood-related hardship and greater internalizing behaviors (maternal but not teacher report). Neither child sex nor gestational timing of exposure moderated the hypothesized mediations. Our findings highlight several pathways through which varying aspects of disaster-related PNMS may influence early childhood anxiety symptomatology.
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Affiliation(s)
- Mia A McLean
- Mater Research Institute-University of Queensland, Brisbane, QLD 4072, Australia.
- School of Psychology, The University of Queensland, Brisbane, QLD 4072, Australia.
| | - Vanessa E Cobham
- Mater Research Institute-University of Queensland, Brisbane, QLD 4072, Australia.
- School of Psychology, The University of Queensland, Brisbane, QLD 4072, Australia.
| | - Gabrielle Simcock
- Mater Research Institute-University of Queensland, Brisbane, QLD 4072, Australia.
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of Sunshine Coast, Sippy Downs, QLD 4556, Australia.
| | - Sue Kildea
- Mater Research Institute-University of Queensland, Brisbane, QLD 4072, Australia.
- School of Nursing, Midwifery, and Social Work, The University of Queensland, Brisbane, QLD 4072, Australia.
| | - Suzanne King
- Schizophrenia and Neurodevelopmental Disorders Research, Douglas Mental Health University Institute, Verdun, QC H4H 1R3, Canada.
- Department of Psychiatry, McGill University, Montreal, QC H3A 1A1, Canada.
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86
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Parsing neurodevelopmental features of irritability and anxiety: Replication and validation of a latent variable approach. Dev Psychopathol 2019; 31:917-929. [PMID: 31064595 DOI: 10.1017/s095457941900035x] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Irritability and anxiety are two common clinical phenotypes that involve high-arousal negative affect states (anger and fear), and that frequently co-occur. Elucidating how these two forms of emotion dysregulation relate to perturbed neurodevelopment may benefit from alternate phenotyping strategies. One such strategy applies a bifactor latent variable approach that can parse shared versus unique mechanisms of these two phenotypes. Here, we aim to replicate and extend this approach and examine associations with neural structure in a large transdiagnostic sample of youth (N = 331; M = 13.57, SD = 2.69 years old; 45.92% male). FreeSurfer was used to extract cortical thickness, cortical surface area, and subcortical volume. The current findings replicated the bifactor model and demonstrate measurement invariance as a function of youth age and sex. There were no associations of youth's factor scores with cortical thickness, surface area, or subcortical volume. However, we found strong convergent and divergent validity between parent-reported irritability and anxiety factors with clinician-rated symptoms and impairment. A general negative affectivity factor was robustly associated with overall functional impairment across symptom domains. Together, these results support the utility of the bifactor model as an alternative phenotyping strategy for irritability and anxiety, which may aid in the development of targeted treatments.
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87
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Pine DS. Heterogeneity in Major Depressive Disorder: Lessons From Developmental Research on Irritability. Am J Psychiatry 2019; 176:331-332. [PMID: 31039634 DOI: 10.1176/appi.ajp.2019.19020214] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Daniel S Pine
- From the National Institute of Mental Health, Bethesda, Md. (Pine)
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88
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Abstract
While emotional dysregulation is a broad construct, the current paper adopts a narrow approach to facilitate translational neuroscience research on pediatric anxiety. The paper first presents data on an adapted version of the antisaccade task and then integrates these data into a research framework. Data on an adapted version of the antisaccade task were collected in 57 youth, including 35 seeking treatment for an anxiety disorder. Associations were examined between performance on the antisaccade task and (a) age, (b) performance on other cognitive-control tasks (i.e., the stop-signal delay and flanker tasks), and (c) level of anxiety symptoms. Better performance on the antisaccade task occurred in older relative to younger subjects and correlated with better performance on the flanker task. Across the 57 youth, higher levels of anxiety correlated with shorter latency for correct antisaccades. These data can be placed within a three-step framework for translational neuroscience research. In the first step, a narrow index of emotion dysregulation is targeted. In the second step, this narrow index is linked to other correlated indicators of the same underlying narrow latent construct. In the third and final step, associations are examined with clinical outcomes and response to treatment.
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89
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Oshri A, Hallowell E, Liu S, MacKillop J, Galvan A, Kogan SM, Sweet LH. Socioeconomic hardship and delayed reward discounting: Associations with working memory and emotional reactivity. Dev Cogn Neurosci 2019; 37:100642. [PMID: 31004982 PMCID: PMC6546101 DOI: 10.1016/j.dcn.2019.100642] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 04/02/2019] [Accepted: 04/02/2019] [Indexed: 12/17/2022] Open
Abstract
Prolonged exposure to socioeconomic hardship (SH) is associated with greater delayed reward discounting (DRD), a form of impulsive decision-making that reflects a reduced capacity to delay gratification and a significant correlate of diverse risk behaviors, but the neurobehavioral mechanisms linking SH and DRD are unknown. An emerging hypothesis suggests that cognitive and affective stress associated with poverty may tax neurocognitive functions, such as working memory (WM), and lead to impulsive DRD. Furthermore, research suggests that emotional reactivity (ER) is an important dispositional factor to consider in the link between executive functions and DRD. Thus, we longitudinally examined the indirect effect of SH on impulsive DRD via a network of brain regions associated with WM function in a sample of young adults, and whether that link was moderated by ER. Participants were 119 rural African Americans (aged 19–24 years) assessed behaviorally on four occasions, with fMRI at the last time point. Results showed that, among emerging adults with higher ER, SH severity was predictive of increased DRD via reduced response in brain regions activated during an n-back WM task. These findings reveal both the cognitive and affective mechanisms that underlie the relationship between SH and DRD.
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Affiliation(s)
- Assaf Oshri
- Department of Human Development and Family Science, The Youth Development Institute, University of Georgia, 123 Dawson Hall, 305 Sanford Dr., Athens, GA, 30602, Greece.
| | - Emily Hallowell
- Department of Psychology, University of Georgia, 125 Baldwin Street, Athens, GA, 30602, Greece
| | - Sihong Liu
- Department of Human Development and Family Science, The Youth Development Institute, University of Georgia, 123 Dawson Hall, 305 Sanford Dr., Athens, GA, 30602, Greece
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, 100 West 5th, Hamilton, ON, L8N 3K7, Canada
| | - Adriana Galvan
- Department of Psychology, University of California in Los Angeles Los Angeles, 1285 Franz Hall, Box 951563, Los Angeles, CA, 90095, United States
| | - Steven M Kogan
- Department of Human Development and Family Science, The Youth Development Institute, University of Georgia, 123 Dawson Hall, 305 Sanford Dr., Athens, GA, 30602, Greece
| | - Lawrence H Sweet
- Department of Psychology, University of Georgia, 125 Baldwin Street, Athens, GA, 30602, Greece
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90
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Bolhuis K, Muetzel RL, Stringaris A, Hudziak JJ, Jaddoe VWV, Hillegers MHJ, White T, Kushner SA, Tiemeier H. Structural Brain Connectivity in Childhood Disruptive Behavior Problems: A Multidimensional Approach. Biol Psychiatry 2019; 85:336-344. [PMID: 30119874 DOI: 10.1016/j.biopsych.2018.07.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 07/04/2018] [Accepted: 07/05/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND Studies of white matter connectivity in children with disruptive behavior have yielded inconsistent results, possibly owing to the trait's heterogeneity, which comprises diverse symptoms like physical aggression, irritability, and delinquency. This study examined associations of global and specific white matter connectivity with childhood disruptive behavior problems, while accounting for their complex multidimensionality. METHODS In a large cross-sectional population-based study of 10-year-old preadolescents (n = 2567), we assessed four previously described empirically derived dimensions of disruptive behavior problems using the Child Behavior Checklist: physical aggression, irritability, disobedient behavior, and delinquent behavior. Global and specific white matter microstructure was assessed by diffusion tensor imaging. RESULTS Global fractional anisotropy and mean diffusivity were not associated with broad measures of disruptive behavior, e.g., Child Behavior Checklist externalizing problems scale. Global fractional anisotropy was negatively associated with delinquent behavior (β = -.123, pfalse discovery rate adjusted = .028) and global mean diffusivity was positively associated with delinquent behavior (β = .205, pfalse discovery rate adjusted < 0.001), suggesting reduced white matter microstructure in preadolescents with higher levels of delinquent behavior. Lower white matter microstructure in the inferior longitudinal fasciculus, superior longitudinal fasciculus, cingulum, and uncinate underlie these associations. Global white matter microstructure was not associated with physical aggression, irritability, or disobedient behavior. CONCLUSIONS Delinquent behavior, a severe manifestation of childhood disruptive behavior, was associated with lower white matter microstructure in tracts connecting frontal and temporal lobes. These brain regions are involved in decision making, reward processing, and emotion regulation. This study demonstrated that incorporating the multidimensional nature of childhood disruptive behavior traits shows promise in advancing the search for elucidating neurobiological correlates of disruptive behavior.
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Affiliation(s)
- Koen Bolhuis
- Department of Child and Adolescent Psychiatry; Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ryan L Muetzel
- Department of Child and Adolescent Psychiatry; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Argyris Stringaris
- Mood Brain & Development Unit, Emotion and Development Branch, National Institute of Mental Health, Bethesda, Maryland
| | - James J Hudziak
- Department of Psychiatry, Vermont Center for Children, Youth and Families, University of Vermont, Burlington, Vermont
| | - Vincent W V Jaddoe
- Department of Pediatrics, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Manon H J Hillegers
- Department of Child and Adolescent Psychiatry; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tonya White
- Department of Child and Adolescent Psychiatry; Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Steven A Kushner
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry; Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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91
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Capitão LP, Chapman R, Murphy SE, Harvey CJ, James A, Cowen PJ, Harmer CJ. A single dose of fluoxetine reduces neural limbic responses to anger in depressed adolescents. Transl Psychiatry 2019; 9:30. [PMID: 30664639 PMCID: PMC6341087 DOI: 10.1038/s41398-018-0332-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 10/21/2018] [Accepted: 11/13/2018] [Indexed: 01/02/2023] Open
Abstract
Depression in adolescence is frequently characterised by symptoms of irritability. Fluoxetine is the antidepressant with the most favourable benefit:risk ratio profile to treat adolescent depression, but the neural mechanisms underlying antidepressant drugs in the young brain are still poorly understood. Previous studies have characterised the neural effects of long-term fluoxetine treatment in depressed adolescents, but these are limited by concurrent mood changes and a lack of placebo control. There is also recent evidence suggesting that fluoxetine reduces the processing of anger in young healthy volunteers, which is consistent with its effect for the treatment of irritability in this age group, but this remains to be investigated in depressed adolescents. Here we assessed the effects of a single, first dose of 10 mg fluoxetine vs. placebo on neural response to anger cues using fMRI in a sample of adolescents with Major Depressive Disorder (MDD) who had been recently prescribed fluoxetine. As predicted, adolescents receiving fluoxetine showed reduced activity in response to angry facial expressions in the amygdala-hippocampal region relative to placebo. Activity in the dorsal anterior cingulate cortex (dACC) was also increased. No changes in symptoms were observed. These results demonstrate, for the first time in depressed adolescents, that fluoxetine has immediate neural effects on core components of the cortico-limbic circuitry prior to clinical changes in mood. The effect on anger is consistent with our previous work and could represent a key mechanism through which fluoxetine may act to alleviate irritability symptoms in adolescent depression.
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Affiliation(s)
- Liliana P Capitão
- Oxford University Department of Psychiatry, Oxford, England.
- Oxford Health NHS Foundation Trust, Oxford, England.
| | - Robert Chapman
- Oxford University Department of Psychiatry, Oxford, England
- Oxford Health NHS Foundation Trust, Oxford, England
| | - Susannah E Murphy
- Oxford University Department of Psychiatry, Oxford, England
- Oxford Health NHS Foundation Trust, Oxford, England
| | | | - Anthony James
- Oxford University Department of Psychiatry, Oxford, England
- Oxford Health NHS Foundation Trust, Oxford, England
| | - Philip J Cowen
- Oxford University Department of Psychiatry, Oxford, England
- Oxford Health NHS Foundation Trust, Oxford, England
| | - Catherine J Harmer
- Oxford University Department of Psychiatry, Oxford, England
- Oxford Health NHS Foundation Trust, Oxford, England
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92
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Tseng WL, Deveney CM, Stoddard J, Kircanski K, Frackman AE, Yi JY, Hsu D, Moroney E, Machlin L, Donahue L, Roule A, Perhamus G, Reynolds RC, Roberson-Nay R, Hettema JM, Towbin KE, Stringaris A, Pine DS, Brotman MA, Leibenluft E. Brain Mechanisms of Attention Orienting Following Frustration: Associations With Irritability and Age in Youths. Am J Psychiatry 2019; 176:67-76. [PMID: 30336704 PMCID: PMC6408218 DOI: 10.1176/appi.ajp.2018.18040491] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Childhood irritability is a common, impairing problem with changing age-related manifestations that predict long-term adverse outcomes. However, more investigation of overall and age-specific neural correlates is needed. Because youths with irritability exhibit exaggerated responses to frustrating stimuli, the authors used a frustration functional MRI (fMRI) paradigm to examine associations between irritability and neural activation and tested the moderating effect of age. METHOD The authors studied a transdiagnostic sample of 195 youths with varying levels of irritability (disruptive mood dysregulation disorder, N=52; anxiety disorder, N=42; attention deficit hyperactivity disorder, N=40; and healthy volunteers, N=61). Irritability was measured by parent and child reports on the Affective Reactivity Index. The fMRI paradigm was a cued-attention task differentiating neural activity in response to frustration (rigged feedback) from activity during attention orienting in the trial following frustration. RESULTS Whole-brain activation analyses revealed associations with irritability during attention orienting following frustration. Irritability was positively associated with frontal-striatal activation, specifically in the dorsolateral prefrontal cortex, inferior frontal gyrus, and caudate. Age moderated the association between irritability and activation in some frontal and posterior regions (the anterior cingulate cortex, medial frontal gyrus, cuneus, precuneus, and superior parietal lobule [F=19.04-28.51, df=1, 189, partial eta squared=0.09-0.13]). Specifically, higher irritability was more strongly related to increased activation in younger youths compared with older youths. CONCLUSIONS Following frustration, levels of irritability correlated with activity in neural systems mediating attention orienting, top-down regulation of emotions, and motor execution. Although most associations were independent of age, dysfunction in the anterior cingulate cortex and posterior regions was more pronounced in young children with irritability.
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Affiliation(s)
- Wan-Ling Tseng
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Christen M Deveney
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Joel Stoddard
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Katharina Kircanski
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Anna E Frackman
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Jennifer Y Yi
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Derek Hsu
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Elizabeth Moroney
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Laura Machlin
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Laura Donahue
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Alexandra Roule
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Gretchen Perhamus
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Richard C Reynolds
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Roxann Roberson-Nay
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - John M Hettema
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Kenneth E Towbin
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Argyris Stringaris
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Daniel S Pine
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Melissa A Brotman
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
| | - Ellen Leibenluft
- From the Department of Health and Human Services, Emotion and Development Branch and Scientific and Statistical Computing Core, NIMH, Bethesda, Md.; the Department of Psychiatry and the Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond; the Department of Psychology, Wellesley College, Wellesley, Mass.; the University of Colorado School of Medicine, Aurora, Colo.; the Department of Medicine, Stanford University, Stanford, Calif.; the Departments of Psychology and Neuroscience, University of North Carolina at Chapel Hill; Emory University School of Medicine, Atlanta; the Department of Psychology, University of California at Los Angeles; and University of Michigan Medical School, Ann Arbor
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Vidal-Ribas P, Brotman MA, Salum GA, Kaiser A, Meffert L, Pine DS, Leibenluft E, Stringaris A. Deficits in emotion recognition are associated with depressive symptoms in youth with disruptive mood dysregulation disorder. Depress Anxiety 2018; 35:1207-1217. [PMID: 30004611 PMCID: PMC9719110 DOI: 10.1002/da.22810] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 06/06/2018] [Accepted: 06/13/2018] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Although severe irritability is a predictor of future depression according to recent meta-analytic evidence, other mechanisms for this developmental transition remain unclear. In this study, we test whether deficits in emotion recognition may partially explain this specific association in youth with severe irritability, defined as disruptive mood dysregulation disorder (DMDD). METHODS Participants aged 8-20 years (M = 13.3, SD = 2.8) included youth with DMDD, split by low depressive (DMDD/LD; n = 52) and high depressive (DMDD/HD; n = 25) symptoms, and healthy controls (HC; n = 39). A standardized computer task assessed emotion recognition of faces and voices of adults and children expressing happiness, fear, sadness, and anger. A Group (3) × Emotion (4) × Actor (2) × Modality (2) repeated measures analysis of covariance examined the number of errors and misidentification of emotions. Linear regression was then used to assess whether deficits in emotion recognition were predictive of depressive symptoms at a 1 year follow-up. RESULTS DMDD/HD youth were more likely to interpret happy stimuli as angry and fearful compared to DMDD/LD (happy as angry: p = 0.018; happy as fearful: p = 0.008) and HC (happy as angry: p = 0.014; happy as fearful: p = 0.024). In youth with DMDD, the misidentification of happy stimuli as fearful was associated with higher depressive symptoms at follow-up (β = 0.43, p = 0.017), independent of baseline depressive and irritability symptoms. CONCLUSIONS Deficits in emotion recognition are associated, cross-sectionally and longitudinally, with depressive symptoms in youth with severe irritability. Future studies should examine the neural correlates that contribute to these associations.
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Affiliation(s)
- Pablo Vidal-Ribas
- Department of Health and Human Services, Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland,Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Melissa A. Brotman
- Department of Health and Human Services, Section on Mood Dysregulation and Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Giovanni A. Salum
- National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil,Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Ariela Kaiser
- Department of Health and Human Services, Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Liana Meffert
- Department of Health and Human Services, Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Daniel S. Pine
- Department of Health and Human Services, Section on Development and Affective Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Ellen Leibenluft
- Department of Health and Human Services, Section on Mood Dysregulation and Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Argyris Stringaris
- Department of Health and Human Services, Mood Brain and Development Unit, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
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94
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Valera EM, Cao A, Pasternak O, Shenton ME, Kubicki M, Makris N, Adra N. White Matter Correlates of Mild Traumatic Brain Injuries in Women Subjected to Intimate-Partner Violence: A Preliminary Study. J Neurotrauma 2018; 36:661-668. [PMID: 29873292 DOI: 10.1089/neu.2018.5734] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
A large proportion (range of 44-75%) of women who experience intimate-partner violence (IPV) have been shown to sustain repetitive mild traumatic brain injuries (mTBIs) from their abusers. Further, despite requests for research on TBI-related health outcomes, there are currently only a handful of studies addressing this issue and only one prior imaging study that has investigated the neural correlates of IPV-related TBIs. In response, we examined specific regions of white matter microstructure in 20 women with histories of IPV. Subjects were imaged on a 3-Tesla Siemens Magnetom TrioTim scanner using diffusion magnetic resonance imaging. We investigated the association between a score reflecting number and recency of IPV-related mTBIs and fractional anisotropy (FA) in the posterior and superior corona radiata as well as the posterior thalamic radiation, brain regions shown previously to be involved in mTBI. We also investigated the association between several cognitive measures, namely learning, memory, and cognitive flexibility, and FA in the white matter regions of interest. We report a negative correlation between the brain injury score and FA in regions of the posterior and superior corona radiata. We failed to find an association between our cognitive measures and FA in these regions, but the interpretation of these results remains inconclusive due to possible power issues. Overall, these data build upon the small but growing literature demonstrating potential consequences of mTBIs for women experiencing IPV, and further underscore the urgent need for larger and more comprehensive studies in this area.
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Affiliation(s)
- Eve M Valera
- 1 Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,2 Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Aihua Cao
- 1 Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,2 Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Ofer Pasternak
- 3 Departments of Radiology and Psychiatry, Harvard Medical School, Boston, Massachusetts.,4 Departments of Radiology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts
| | - Martha E Shenton
- 3 Departments of Radiology and Psychiatry, Harvard Medical School, Boston, Massachusetts.,4 Departments of Radiology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts.,5 VA Boston Healthcare System, Brockton Division, Brockton, Massachusetts
| | - Marek Kubicki
- 2 Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts.,3 Departments of Radiology and Psychiatry, Harvard Medical School, Boston, Massachusetts.,4 Departments of Radiology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts
| | - Nikos Makris
- 6 Departments of Radiology and Psychiatry, Harvard Medical School, Boston, Massachusetts.,7 Departments of Radiology and Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts
| | - Noor Adra
- 1 Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.,2 Department of Psychiatry, Massachusetts General Hospital, Charlestown, Massachusetts.,8 Wellesley College, Wellesley, Massachusetts
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