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Kiani I, Aarabi MH, Cattarinussi G, Sambataro F, Favalli V, Moltrasio C, Delvecchio G. White matter changes in paediatric bipolar disorder: A systematic review of diffusion magnetic resonance imaging studies. J Affect Disord 2024:S0165-0327(24)02030-5. [PMID: 39689732 DOI: 10.1016/j.jad.2024.12.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Revised: 12/11/2024] [Accepted: 12/12/2024] [Indexed: 12/19/2024]
Abstract
BACKGROUND Paediatric bipolar disorder (PBD) is characterized by severe mood fluctuations that deviate from typical childhood emotional development. Despite the efforts, the pathophysiology of this disorder is not well understood yet. In this review, we aimed to synthesize existing diffusion magnetic resonance imaging (dMRI) research findings focused on PBD. METHODS A literature search was conducted using PubMed, Embase, Scopus, and Web of Science databases to identify relevant studies published before April 2024. RESULTS A total of 23 studies met the inclusion criteria and were included in the review. The findings showed variations in fractional anisotropy (FA), axial diffusivity, radial diffusivity, and apparent diffusion coefficient in PBD patients compared to healthy controls (HC). Key findings included decreased FA in the anterior cingulate, anterior corona radiata, and corpus callosum, whose subregion, namely the genu of corpus callosum, was found to be correlated with clinical symptoms. Furthermore, longitudinal studies emphasized the significance of the uncinate fasciculus as having atypical developmental trajectories in PBD patients. In addition, graph analysis revealed widespread changes in structural connectivity, especially affecting the orbitofrontal cortex, frontal gyrus and basal ganglia. Lastly, machine learning models showed promising results in differentiating PBD from HC. LIMITATIONS Cross-sectional studies, small sample sizes, and different imaging protocols preclude integration of findings. CONCLUSION PBD shows to be associated with widespread structural changes compared to HC. Since these changes might be accountable for the clinical manifestations of this disorder, increase our understanding on the neurobiological underpinnings of PBD may help the identification of more effective treatments.
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Affiliation(s)
- Iman Kiani
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, USA
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, Padua, Italy; Padua Neuroscience Center, University of Padova, Padua, Italy
| | - Virginia Favalli
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Chiara Moltrasio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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Thompson KI, Schneider CJ, Lopez-Roque JA, Wakschlag LS, Karim HT, Perlman SB. A network approach to the investigation of childhood irritability: probing frustration using social stimuli. J Child Psychol Psychiatry 2024; 65:959-972. [PMID: 38124618 PMCID: PMC11161318 DOI: 10.1111/jcpp.13937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/31/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Self-regulation in early childhood develops within a social context. Variations in such development can be attributed to inter-individual behavioral differences, which can be captured both as facets of temperament and across a normal:abnormal dimensional spectrum. With increasing emphasis on irritability as a robust early-life transdiagnostic indicator of broad psychopathological risk, linkage to neural mechanisms is imperative. Currently, there is inconsistency in the identification of neural circuits that underlie irritability in children, especially in social contexts. This study aimed to address this gap by utilizing a functional magnetic resonance imaging (fMRI) paradigm to investigate pediatric anger/frustration using social stimuli. METHODS Seventy-three children (M = 6 years, SD = 0.565) were recruited from a larger longitudinal study on irritability development. Caregivers completed questionnaires assessing irritable temperament and clinical symptoms of irritability. Children participated in a frustration task during fMRI scanning that was designed to induce frustration through loss of a desired prize to an animated character. Data were analyzed using both general linear modeling (GLM) and independent components analysis (ICA) and examined from the temperament and clinical perspectives. RESULTS ICA results uncovered an overarching network structure above and beyond what was revealed by traditional GLM analyses. Results showed that greater temperamental irritability was associated with significantly diminished spatial extent of activation and low-frequency power in a network comprised of the posterior superior temporal sulcus (pSTS) and the precuneus (p < .05, FDR-corrected). However, greater severity along the spectrum of clinical expression of irritability was associated with significantly increased extent and intensity of spatial activation as well as low- and high-frequency neural signal power in the right caudate (p < .05, FDR-corrected). CONCLUSIONS Our findings point to specific neural circuitry underlying pediatric irritability in the context of frustration using social stimuli. Results suggest that a deliberate focus on the construction of network-based neurodevelopmental profiles and social interaction along the normal:abnormal irritability spectrum is warranted to further identify comprehensive transdiagnostic substrates of the irritability.
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Affiliation(s)
- Khalil I Thompson
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Clayton J Schneider
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Justin A Lopez-Roque
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Lauren S Wakschlag
- Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Helmet T Karim
- Department of Psychiatry, University of Pittsburg School of Medicine, Pittsburgh, PA, USA
| | - Susan B Perlman
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
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Elvin OM, Modecki KL, Waters AM. An Expanded Conceptual Framework for Understanding Irritability in Childhood: The Role of Cognitive Control Processes. Clin Child Fam Psychol Rev 2024; 27:381-406. [PMID: 38856946 PMCID: PMC11222227 DOI: 10.1007/s10567-024-00489-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/08/2024] [Indexed: 06/11/2024]
Abstract
Children prone to irritability experience significant functional impairments and internalising and externalising problems. Contemporary models have sought to elucidate the underlying mechanisms in irritability, such as aberrant threat and reward biases to improve interventions. However, the cognitive control processes that underlie threat (e.g., attention towards threats) and reward (e.g., attention towards reward-related cues) biases and the factors which influence the differential activation of positive and negative valence systems and thus leading to maladaptive activation of cognitive control processes (i.e., proactive and reactive control) are unclear. Thus, we aim to integrate extant theoretical and empirical research to elucidate the cognitive control processes underlying threat and reward processing that contribute to irritability in middle childhood and provide a guiding framework for future research and treatment. We propose an expanded conceptual framework of irritability that includes broad intraindividual and environmental vulnerability factors and propose proximal 'setting' factors that activate the negative valence and positive valence systems and proactive and reactive cognitive control processes which underpin the expression and progression of irritability. We consider the implications of this expanded conceptualisation of irritability and provide suggestions for future research.
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Affiliation(s)
- Olivia M Elvin
- School of Applied Psychology, Griffith University, Mount Gravatt Campus, Brisbane, QLD, Australia.
| | - Kathryn L Modecki
- Centre for Mental Health and School of Applied Psychology, Griffith University, Mount Gravatt Campus, Brisbane, QLD, Australia
- School of Psychological Science, University of Western Australia & Telethon Kids Institute, Perth, Australia
| | - Allison M Waters
- Centre for Mental Health and School of Applied Psychology, Griffith University, Mount Gravatt Campus, Brisbane, QLD, Australia.
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4
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Saha R, Saha DK, Rahaman MA, Fu Z, Liu J, Calhoun VD. A Method to Estimate Longitudinal Change Patterns in Functional Network Connectivity of the Developing Brain Relevant to Psychiatric Problems, Cognition, and Age. Brain Connect 2024; 14:130-140. [PMID: 38308475 PMCID: PMC10954605 DOI: 10.1089/brain.2023.0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024] Open
Abstract
Aim: To develop an approach to evaluate multiple overlapping brain functional change patterns (FCPs) in functional network connectivity (FNC) and apply to study developmental changes in brain function. Introduction: FNC, the network analog of functional connectivity (FC), is commonly used to capture the intrinsic functional relationships among brain networks. Ongoing research on longitudinal changes of intrinsic FC across whole-brain functional networks has proven useful for characterizing age-related changes, but to date, there has been little focus on capturing multivariate patterns of FNC change with brain development. Methods: In this article, we introduce a novel approach to evaluate multiple overlapping FCPs by utilizing FNC matrices. We computed FNC matrices from the large-scale Adolescent Brain Cognitive Development data using fully automated spatially constrained independent component analysis (ICA). We next evaluated changes in these patterns for a 2-year period using a second-level ICA on the FNC change maps. Results: Our proposed approach reveals several highly structured (modular) FCPs and significant results including strong brain FC between visual and sensorimotor domains that increase with age. We also find several FCPs that are associated with longitudinal changes of psychiatric problems, cognition, and age in the developing brain. Interestingly, FCP cross-covariation, reflecting coupling between maximally independent FCPs, also shows significant differences between upper and lower quartile loadings for longitudinal changes in age, psychiatric problems, and cognition scores, as well as baseline age in the developing brain. FCP patterns and results were also found to be highly reliable based on analysis of data collected in a separate scan session. Conclusion: In sum, our results show evidence of consistent multivariate patterns of functional change in emerging adolescents and the proposed approach provides a useful and general tool to evaluate covarying patterns of whole-brain functional changes in longitudinal data. Impact statement In this article, we introduce a novel approach utilizing functional network connectivity (FNC) matrices to estimate multiple overlapping brain functional change patterns (FCPs). The findings demonstrate several well-structured FCPs that exhibit significant changes for a 2-year period, particularly in the functional connectivity between the visual and sensorimotor domains. In addition, we discover several FCPs that are associated with psychopathology, cognition, and age. Finally, our proposed approach for studying age-related FCPs represents a pioneering method that provides a valuable tool for assessing interconnected patterns of whole-brain functional changes in longitudinal data and may be useful to study change over time with applicability to many other areas, including the study of longitudinal changes within diagnostic groups, treatment effects, aging effects, and more.
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Affiliation(s)
- Rekha Saha
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
| | - Debbrata K. Saha
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
| | - Md Abdur Rahaman
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
| | - Zening Fu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA
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5
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Wu Y, Zhong Y, Zhang G, Wang C, Zhang N, Chen Q. Distinct functional patterns in child and adolescent bipolar and unipolar depression during emotional processing. Cereb Cortex 2024; 34:bhad461. [PMID: 38044479 DOI: 10.1093/cercor/bhad461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/28/2023] [Indexed: 12/05/2023] Open
Abstract
Accumulating evidence from functional magnetic resonance imaging studies supported brain dysfunction during emotional processing in bipolar disorder (BD) and major depressive disorder (MDD). However, child and adolescent BD and MDD could display different activation patterns, which have not been fully understood. This study aimed to investigate common and distinct activation patterns of pediatric BD (PBD) and MDD (p-MDD) during emotion processing using meta-analytic approaches. Literature search identified 25 studies, contrasting 252 PBD patients, and 253 healthy controls (HCs) as well as 311 p-MDD patients and 263 HCs. A total of nine meta-analyses were conducted pulling PBD and p-MDD experiments together and separately. The results revealed that PBD and p-MDD showed distinct patterns during negative processing. PBD patients exhibited activity changes in bilateral precuneus, left inferior parietal gyrus, left angular gyrus, and right posterior cingulate cortex while p-MDD patients showed functional disruptions in the left rectus, left triangular part of the inferior frontal gyrus, left orbital frontal cortex, left insula, and left putamen. In conclusion, the activity changes in PBD patients were mainly in regions correlated with emotion perception while the dysfunction among p-MDD patients was in the fronto-limbic circuit and reward-related regions in charge of emotion appraisal and regulation.
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Affiliation(s)
- Yun Wu
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Gui Zhang
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
| | - Chun Wang
- Psychiatry Department, Nanjing Brain Hospital Affiliated to Nanjing Medical University, 264 Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Ning Zhang
- Psychiatry Department, Nanjing Brain Hospital Affiliated to Nanjing Medical University, 264 Guangzhou Road, Gulou District, Nanjing, Jiangsu 210029, China
| | - Qingrong Chen
- School of Psychology, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing, Jiangsu 210097, China
- Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, 122 Ninghai Road, Gulou District, Nanjing 210097, China
- Jiangsu International Collaborative Laboratory of Child and Adolescent Psychological Development and Crisis Intervention, Nanjing Normal University, 122 Ninghai Rd., Gulou District, Nanjing 210097, China
- Jiangsu Collaborative Innovation Center for Language Ability, School of Linguistic Sciences And Arts, Jiangsu Normal University, 57 Heping Road, Yunlong District, Xuzhou, Jiangsu 221009, China
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6
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Zhu W, Chen X, Wu J, Li Z, Im H, Chen S, Deng K, Zhang B, Wei C, Feng J, Zhang M, Yang S, Wang H, Wang Q. Neuroanatomical and functional substrates of the hypomanic personality trait and its prediction on aggression. Int J Clin Health Psychol 2023; 23:100397. [PMID: 37560478 PMCID: PMC10407439 DOI: 10.1016/j.ijchp.2023.100397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 07/10/2023] [Indexed: 08/11/2023] Open
Abstract
Hypomanic personality manifests a close link with several psychiatric disorders and its abnormality is a risk indicator for developing bipolar disorders. We systematically investigated the potential neuroanatomical and functional substrates underlying hypomanic personality trait (HPT) and its sub-dimensions (i.e., Social Vitality, Mood Volatility, and Excitement) combined with structural and functional imaging data as well as their corresponding brain networks in a large non-clinical sample across two studies (n = 464). Behaviorally, HPT, specifically Mood Volatility and Excitement, was positively associated with aggressive behaviors in both studies. Structurally, sex-specific morphological characteristics were further observed in the motor and top-down control networks especially for Mood Volatility, although HPT was generally positively associated with grey matter volumes (GMVs) in the prefrontal, temporal, visual, and limbic systems. Functionally, brain activations related to immediate or delayed losses were found to predict individual variability in HPT, specifically Social Vitality and Excitement, on the motor and prefrontal-parietal cortices. Topologically, connectome-based prediction model analysis further revealed the predictive role of individual-level morphological and resting-state functional connectivity on HPT and its sub-dimensions, although it did not reveal any links with general brain topological properties. GMVs in the temporal, limbic (e.g., amygdala), and visual cortices mediated the effects of HPT on behavioral aggression. These findings suggest that the imbalance between motor and control circuits may be critical for HPT and provide novel insights into the neuroanatomical, functional, and topological mechanisms underlying the specific temperament and its impacts on aggression.
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Affiliation(s)
- Wenwei Zhu
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Xiongying Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
| | - Jie Wu
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin 300387, China
| | - Zixi Li
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Hohjin Im
- Department of Psychological Science, University of California, Irvine, CA 92697-7085, USA
| | - Shuning Chen
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Kun Deng
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Bin Zhang
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Chuqiao Wei
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Junjiao Feng
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin 300387, China
| | - Manman Zhang
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin 300387, China
| | - Shaofeng Yang
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin 300387, China
| | - He Wang
- Institute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin 300192, China
| | - Qiang Wang
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Tianjin Social Science Laboratory of Students’ Mental Development and Learning, Tianjin 300387, China
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7
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Liuzzi MT, Kryza-Lacombe M, Christian IR, Owen C, Redcay E, Riggins T, Dougherty LR, Wiggins JL. Irritability in early to middle childhood: Cross-sectional and longitudinal associations with resting state amygdala and ventral striatum connectivity. Dev Cogn Neurosci 2023; 60:101206. [PMID: 36736018 PMCID: PMC9918422 DOI: 10.1016/j.dcn.2023.101206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Irritability is a common symptom that may affect children's brain development. This study aims to (1) characterize age-dependent and age-independent neural correlates of irritability in a sample of 4-8 year old children, and (2) examine early irritability as a predictor of change in brain connectivity over time. METHODS Typically developing children, ages 4-8 years, with varying levels of irritability were included. Resting state fMRI and parent-rated irritability (via Child Behavior Checklist; CBCL) were collected at up to three time points, resulting in a cross-sectional sample at baseline (N = 176, M = 6.27, SD = 1.49), and two subsamples consisting of children who were either 4 or 6 years old at baseline that were followed longitudinally for two additional timepoints, one- and two-years post-baseline. That is, a "younger" cohort (age 4 at baseline, n = 34, M age = 4.44, SD = 0.25) and an "older" cohort (age 6 at baseline, n = 29, M age = 6.50, SD = 0.30). Across our exploratory analyses, we examined how irritability related to seed-based intrinsic connectivity via whole-brain connectivity ANCOVAs using the left and right amygdala, and left and right ventral striatum as seed regions. RESULTS Cross-sectionally, higher levels of irritability were associated with greater amygdala connectivity with the posterior cingulate, controlling for child age. No age-dependent effects were observed in the cross-sectional analyses. Longitudinal analyses in the younger cohort revealed that early higher vs. lower levels of irritability, controlling for later irritability, were associated with decreases in amygdala and ventral striatum connectivity with multiple frontal and parietal regions over time. There were no significant findings in the older cohort. CONCLUSIONS Findings suggest that irritability is related to altered neural connectivity during rest regardless of age in early to middle childhood and that early childhood irritability may be linked to altered changes in neural connectivity over time. Understanding how childhood irritability interacts with neural processes can inform pathophysiological models of pediatric irritability and the development of targeted mechanistic interventions.
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Affiliation(s)
- Michael T Liuzzi
- San Diego State University, Department of Psychology, San Diego, CA, USA.
| | - Maria Kryza-Lacombe
- San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | | | - Cassidy Owen
- San Diego State University, Department of Psychology, San Diego, CA, USA
| | - Elizabeth Redcay
- University of Maryland, Department of Psychology, College Park, MD, USA
| | - Tracy Riggins
- University of Maryland, Department of Psychology, College Park, MD, USA
| | - Lea R Dougherty
- University of Maryland, Department of Psychology, College Park, MD, USA
| | - Jillian Lee Wiggins
- San Diego State University, Department of Psychology, San Diego, CA, USA; San Diego State University/University of California, San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
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8
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Long X, Li L, Wang X, Cao Y, Wu B, Roberts N, Gong Q, Kemp GJ, Jia Z. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. J Affect Disord 2023; 325:550-563. [PMID: 36669567 DOI: 10.1016/j.jad.2023.01.049] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 12/24/2022] [Accepted: 01/11/2023] [Indexed: 01/19/2023]
Abstract
BACKGROUND Gray matter volume (GMV) alterations in several emotion-related brain areas are implicated in mood disorders, but findings have been inconsistent in adolescents with major depressive disorder (MDD) or bipolar disorder (BD). METHODS We conducted a comprehensive meta-analysis of 35 region-of-interest (ROI) and 18 whole-brain voxel-based morphometry (VBM) MRI studies in adolescent MDD and adolescent BD, and indirectly compared the results in the two groups. The effects of age, sex, and other demographic and clinical scale scores were explored using meta-regression analysis. RESULTS In the ROI meta-analysis, right putamen volume was decreased in adolescents with MDD, while bilateral amygdala volume was decreased in adolescents with BD compared to healthy controls (HC). In the whole-brain VBM meta-analysis, GMV was increased in right middle frontal gyrus and decreased in left caudate in adolescents with MDD compared to HC, while in adolescents with BD, GMV was increased in left superior frontal gyrus and decreased in limbic regions compared with HC. MDD vs BD comparison revealed volume alteration in the prefrontal-limbic system. LIMITATION Different clinical features limit the comparability of the samples, and small sample size and insufficient clinical details precluded subgroup analysis or meta-regression analyses of these variables. CONCLUSIONS Distinct patterns of GMV alterations in adolescent MDD and adolescent BD could help to differentiate these two populations and provide potential diagnostic biomarkers.
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Affiliation(s)
- Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Lei Li
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Xiuli Wang
- Department of Clinical Psychiatry, the Fourth People's Hospital of Chengdu, Chengdu 610041, Sichuan, PR China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China
| | - Baolin Wu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China
| | - Neil Roberts
- The Queens Medical Research Institute (QMRI), School of Clinical Sciences, University of Edinburgh, Edinburgh, UK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China; Department of Radiology, West China Xiamen Hospital of Sichuan University, 699Jinyuan Xi Road, Jimei District, 361021 Xiamen, Fujian, PR China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Center (LiMRIC) and Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, No. 37 GuoXue Xiang, Chengdu 610041, Sichuan, PR China; Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, PR China.
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9
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İnal N, Cavusoglu B, Ermiş Ç, Turan S, Gormez V, Karabay N. Reduced Cortical Thicknesses of Adolescents with Bipolar Disorder and Relationship with Brain-derived Neurotrophic Factor. Scand J Child Adolesc Psychiatr Psychol 2023; 11:78-86. [PMID: 37377456 PMCID: PMC10291755 DOI: 10.2478/sjcapp-2023-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/29/2023] Open
Abstract
Background Cortical thickness (CT) and brain-derived neurotrophic factor (BDNF) were widely investigated in bipolar disorder (BD). Previous studies focused on the association between the volume of subcortical regions and neurotrophic factor levels. Objective In this study, we aimed to evaluate the association of the CT in youth with early-onset BD with BDNF levels as a potential peripheral marker of neuronal integrity. Method Twenty-three euthymic patients having a clinical diagnosis of BD and 17 healthy subjects as an age-matched control group with neuroimaging and blood BDNF levels were found eligible for CT measurement. A structural magnetic resonance scan (MRI) and timely blood samples were drawn. Results Youth with BD exhibited lower cortical thickness in caudal part of left (L) middle frontal gyrus, right (R) paracentral gyrus, triangular part of R inferior frontal gyrus, R pericalcarine region, R precentral gyrus, L precentral gyrus, R superior frontal gyrus and L superior frontal gyrus when compared to healthy controls. The effect sizes of these differences were moderate to large (d=0.67-0.98) There was a significant correlation between BDNF levels with caudal part of the R anterior cingulate gyrus (CPRACG) in adolescents with BD (r=0.49, p=0.023). Conclusion As a special region for mood regulation, the CT of the caudal part of the R anterior cingulate gyrus had a positive correlation with BDNF. Regarding the key role of CPRACG for affective regulation skills, our results should be replicated in future follow-up studies, investigating a predictive neuroimaging biomarker for the early-onset BD.
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Affiliation(s)
- Neslihan İnal
- Department of Child and Adolescent Psychiatry, Dokuz Eylul University, Izmir, Turkey
| | | | - Çağatay Ermiş
- Department of Children and Adolescent Psyhciatry, Queen Silvia Children's Hospital, Gothenburg, Sweden
| | - Serkan Turan
- Department of Child and Adolescent Psychiatry, Uludag University, Bursa, Turkey
| | - Vahdet Gormez
- Department of Child and Adolescent Psychiatry, Medeniyet University Göztepe Training and Research Hospital, Istanbul, Turkey
| | - Nuri Karabay
- Department of Radiology, Dokuz Eylul University, Izmir, Turkey
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10
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Luciano M, Di Vincenzo M, Mancuso E, Marafioti N, Di Cerbo A, Giallonardo V, Sampogna G, Fiorillo A. Does the Brain Matter? Cortical Alterations in Pediatric Bipolar Disorder: A Critical Review of Structural and Functional Magnetic Resonance Studies. Curr Neuropharmacol 2023; 21:1302-1318. [PMID: 36173069 PMCID: PMC10324338 DOI: 10.2174/1570159x20666220927114417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/14/2022] [Accepted: 07/28/2022] [Indexed: 11/22/2022] Open
Abstract
Pediatric bipolar disorder (PBD) is associated with significant psychosocial impairment, high use of mental health services and a high number of relapses and hospitalization. Neuroimaging techniques provide the opportunity to study the neurodevelopmental processes underlying PBD, helping to identify the endophenotypic markers of illness and early biological markers of PBD. The aim of the study is to review available studies assessing structural and functional brain correlates associated with PBD. PubMed, ISI Web of Knowledge and PsychINFO databases have been searched. Studies were included if they enrolled patients aged 0-18 years with a main diagnosis of PBD according to ICD or DSM made by a mental health professional, adopted structural and/or functional magnetic resonance as the main neuroimaging method, were written in English and included a comparison with healthy subjects. Of the 400 identified articles, 46 papers were included. Patients with PBD present functional and anatomic alterations in structures normally affecting regulations and cognition. Structural neuroimaging revealed a significant reduction in gray matter, with cortical thinning in bilateral frontal, parietal and occipital cortices. Functional neuroimaging studies reported a reduced engagement of the frontolimbic and hyperactivation of the frontostriatal circuitry. Available studies on brain connectivity in PBD patients potentially indicate less efficient connections between regions involved in cognitive and emotional functions. A greater functional definition of alteration in brain functioning of PBD patients will be useful to set up a developmentally sensitive targeted pharmacological and nonpharmacological intervention.
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Affiliation(s)
- Mario Luciano
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Matteo Di Vincenzo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Emiliana Mancuso
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Niccolò Marafioti
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Arcangelo Di Cerbo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | | | - Gaia Sampogna
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
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11
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Damme KSF, Norton ES, Briggs-Gowan MJ, Wakschlag LS, Mittal VA. Developmental patterning of irritability enhances prediction of psychopathology in preadolescence: Improving RDoC with developmental science. JOURNAL OF PSYCHOPATHOLOGY AND CLINICAL SCIENCE 2022; 131:556-566. [PMID: 35901387 PMCID: PMC9439570 DOI: 10.1037/abn0000655] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The transdiagnostic importance of irritability in psychopathology has been demonstrated. However, the contribution of developmentally unfolding irritability patterns to specific clinical and neural outcomes remains an important and unanswered question. To address this gap in the literature, irritability patterns of 110 youth from a large, diverse cohort were assessed at preschool age and again at early school age (∼2.5 years later) with a dimensional irritability scale designed to capture the normal:abnormal spectrum. At preadolescence (∼6 years later), clinical outcomes (internalizing/externalizing symptoms) derived from a semistructured clinical interview and neural outcomes (characterized as gray-matter-volume abnormalities) were assessed. For clinical outcomes, preschool-age irritability alone was a transdiagnostic predictor of internalizing and externalizing symptoms at preadolescence. However, in a model including both preschool and early school age, irritability provided greater specificity, suggesting that higher irritability at early school age related to elevated preadolescent externalizing but not internalizing symptoms. In terms of neural outcomes, elevated preschool irritability did not predict preadolescent gray-matter-volume abnormality; however, irritability at early school age demonstrated an interactive effect among regions, with reduced volume in preadolescence emotional regions (e.g., amygdala, medial orbitofrontal cortex) and increased volume in other regions (e.g., cerebellum). These complex patterns highlight the contribution of a developmentally informed approach, the National Institute of Mental Health's Research Domain Criteria (RDoC) approach, to yield transdiagnostic phenotypes and multiple units of analysis. Capturing these individual differences and developmental heterogeneity can provide critical insight into the unfolding of mechanisms underlying emerging psychopathology. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Elizabeth S Norton
- Department of Communication Sciences and Disorders, Northwestern University
| | | | - Lauren S Wakschlag
- Institute for Innovations in Developmental Sciences (DevSci), Northwestern University
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12
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Network-wise surface-based morphometric insight into the cortical neural circuitry underlying irritability in adolescents. Transl Psychiatry 2021; 11:581. [PMID: 34759268 PMCID: PMC8581009 DOI: 10.1038/s41398-021-01710-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 10/18/2021] [Accepted: 10/25/2021] [Indexed: 11/08/2022] Open
Abstract
Previous studies examining structural brain correlates of irritability have taken a region-specific approach and have been relatively inconsistent. In a sample of adolescents with and without clinically impairing irritability, the current study examines: (i) cortical volume (CV) in canonical functional networks; (ii) the association between the CV of functional networks and severity of irritability; and (iii) the extent to which IQ mediates the association between structural abnormalities and severity of irritability. Structural MRI and IQ data were collected from 130 adolescents with high irritability (mean age = 15.54±1.83 years, 58 females, self-reported Affective Reactivity Index [ARI] ≥ 4) and 119 adolescents with low irritability (mean age = 15.10±1.93 years, 39 females, self-reported ARI < 4). Subject-specific network-wise CV was estimated after parcellating the whole brain into 17 previously reported functional networks. Our Multivariate Analysis of Covariance (MANCOVA) revealed that adolescents with high irritability had significantly reduced CV of the bilateral control and default-mode networks (p < 0.05) relative to adolescents with low irritability. Multiple regression analyses showed a significant negative association between the control network CV and the severity of irritability. Mediation analysis showed that IQ partially mediated the association between the control network CV and the severity of irritability. Follow-up analysis on subcortical volume (SCV) showed that adolescents with high irritability had reduced bilateral SCV within the amygdala relative to adolescents with low irritability. Reduced CV within bilateral control and default networks and reduced SCV within bilateral amygdala may represent core features of the pathophysiology of irritability. The current data also indicate the potential importance of a patient's IQ in determining how pathophysiology related to the control network is expressed.
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13
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Gao W, Cui D, Jiao Q, Su L, Lu G, Yang R. Altered spatiotemporal consistency in pediatric bipolar disorder patients with and without psychotic symptoms. BMC Psychiatry 2021; 21:506. [PMID: 34654382 PMCID: PMC8518299 DOI: 10.1186/s12888-021-03524-4] [Citation(s) in RCA: 3] [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: 04/29/2021] [Accepted: 10/07/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Psychotic symptoms are quite common in patients with pediatric bipolar disorder (PBD) and may affect the symptom severity and prognosis of PBD. However, the potential mechanisms are less well elucidated until now. Thus, the purpose of this study was to investigate the brain functional differences between PBD patients with and without psychotic symptoms. METHOD A total of 71 individuals including: 27 psychotic PBD (P-PBD), 25 nonpsychotic PBD (NP-PBD), and 19 healthy controls were recruited in the present study. Each subject underwent 3.0 Tesla functional magnetic resonance imaging scan. Four-dimensional (spatiotemporal) Consistency of local neural Activities (FOCA) was employed to detect the local brain activity changes. Analyses of variance (ANOVA) were used to reveal brain regions with significant differences among three groups groups of individuals, and inter-group comparisons were assessed using post hoc tests. RESULTS The ANOVA obtained significant among-group FOCA differences in the left triangular inferior frontal gyrus, left supplementary motor area, left precentral gyrus, right postcentral gyrus, right superior occipital gyrus, and right superior frontal gyrus. Compared with the control group, the P-PBD group showed decreased FOCA in the left supplementary motor area and bilateral superior frontal gyrus and showed increased FOCA in the left triangular inferior frontal gyrus. In contrast, the NP-PBD group exhibited decreased FOCA in the right superior occipital gyrus and right postcentral gyrus and showed increased FOCA in the left orbital inferior frontal gyrus. Compared to the NP-PBD group, the P-PBD group showed decreased FOCA in the right superior frontal gyrus. CONCLUSION The present findings demonstrated that the two groups of PBD patients exhibited segregated brain functional patterns, providing empirical evidence for the biological basis of different clinical outcomes between PBD patients with and without psychotic symptoms.
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Affiliation(s)
- Weijia Gao
- grid.13402.340000 0004 1759 700XDepartment of Child Psychology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, No. 3333 Binsheng Road, Zhejiang, Hangzhou China
| | - Dong Cui
- grid.506261.60000 0001 0706 7839Institute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Qing Jiao
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, Shandong China
| | - Linyan Su
- Mental Health Institute, The Second Xiangya Hospital of Central South University, Key Laboratory of Psychiatry and Mental Health of Hunan Province, National Technology Institute of Psychiatry, Changsha, Hunan China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Nanjing, Jiangsu, China.
| | - Rongwang Yang
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, No. 3333 Binsheng Road, Zhejiang, Hangzhou, China.
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14
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Neural correlates of irritability in a community sample of children. J Affect Disord 2021; 292:223-226. [PMID: 34130187 DOI: 10.1016/j.jad.2021.05.093] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 04/20/2021] [Accepted: 05/31/2021] [Indexed: 11/21/2022]
Abstract
Irritability has been associated with aberrant patterns of neural activation, yet little is known about structural brain correlates of irritability. As such, we aimed to investigate associations between irritability and gray matter volume (GMV) in a community sample of children enriched for irritability. The sample comprised children (n=162) aged 9-11 years with and without Attention-Deficit/Hyperactivity Disorder (ADHD), participating in a cohort study with magnetic resonance imaging data available. Mixed effects linear regression analyses tested the associations between irritability symptoms and regional GMV (extracted using Freesurfer). Irritability was associated with smaller gray matter volume across multiple brain regions implicated in executive functioning, and emotion and reward processing including frontal regions and the cingulate.
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15
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Seok JW, Bajaj S, Soltis-Vaughan B, Lerdahl A, Garvey W, Bohn A, Edwards R, Kratochvil CJ, Blair J, Hwang S. Structural atrophy of the right superior frontal gyrus in adolescents with severe irritability. Hum Brain Mapp 2021; 42:4611-4622. [PMID: 34288223 PMCID: PMC8410540 DOI: 10.1002/hbm.25571] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 05/22/2021] [Accepted: 06/10/2021] [Indexed: 12/27/2022] Open
Abstract
Severe irritability is common in youths with psychiatric disorders and results in significant dysfunction across domains (academic, social, and familial). Prior structural MRI studies in the pediatric population demonstrated that aberrations of cortical thickness (CT) and gray matter volume (GMV) in the fronto‐striatal‐temporal regions which have been associated with irritability. However, the directions of the correlations between structural alteration and irritability in the individual indices were not consistent. Thus, we aim to address this by implementing comprehensive assessments of CT, GMV, and local gyrification index (LGI) simultaneously in youths with severe levels of irritability by voxel‐based morphometry and surface‐based morphometry. One hundred and eight adolescents (46 youths with severe irritability and 62 healthy youths, average age = 14.08 years, standard deviation = 2.36) were scanned with a T1‐weighted MRI sequence. The severity of irritability was measured using the affective reactivity index. In youths with severe irritability, there was decreased CT, GMV, and LGI in the right superior frontal gyrus (SFG) compared to healthy youths, and negative correlations between these indices of the SFG and irritability. Our findings suggest that structural deficits in the SFG, potentially related to its role in inhibitory control, may be critical for the neurobiology of irritability.
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Affiliation(s)
- Ji-Woo Seok
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Sahil Bajaj
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, Nebraska, USA
| | | | - Arica Lerdahl
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - William Garvey
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Alexandra Bohn
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Ryan Edwards
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - James Blair
- Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, Nebraska, USA
| | - Soonjo Hwang
- Department of Psychiatry, University of Nebraska Medical Center, Omaha, Nebraska, USA
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16
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Tsai CJ, Lin HY, Tseng IWY, Gau SSF. Brain voxel-based morphometry correlates of emotion dysregulation in attention-deficit hyperactivity disorder. Brain Imaging Behav 2021; 15:1388-1402. [PMID: 32700253 DOI: 10.1007/s11682-020-00338-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Attention-deficit hyperactivity disorder (ADHD) has a high prevalence of co-occurring with emotion dysregulation (ED). Youths with ADHD and ED are more likely to have increased functional impairment. There is accumulating research on defining the features, behavioral, and physiological manifestations of ED, but there are currently few studies elucidating neuroanatomical correlations of ED in ADHD. Structural magnetic resonance imaging data from 118 children (aged 7-18 years) with ADHD (50 ADHD+high ED, 68 ADHD+low ED), and 104 typically developing controls (TDC) were processed using voxel-based morphometry. We used both dichotomous and continuous indices of ED to examine the possible correspondence between ED and ADHD. Relative to ADHD+high ED, ADHD+low ED had greater gray matter (GM) volumes over the left anterior prefrontal cortex (PFC). ADHD+low ED and ADHD+high ED shared a negative association of ED levels with the left middle temporal pole GM volume. TDC and ADHD+low ED also shared negative relationships of ED levels with the right temporal volume, and positive relationships with the left dorsolateral PFC volume. Besides, ED-by-group interactions were also noted. Specifically, medial PFC GM volumes increased and decreased with ED severity in ADHD+low ED and ADHD+high ED, respectively; and left cerebellum Crus GM volumes decreased and increased with ED severity in ADHD+low ED and ADHD+high ED, respectively. Our findings add to the evidence that some specific neural correlates are underpinning ED across ADHD and TDC. These findings suggest the importance of incorporating ED problems when considering heterogeneity in studies of ADHD.
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Affiliation(s)
- Chia-Jui Tsai
- Department of Psychiatry, Taichung Veterans General Hospital, Taichung, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsiang-Yuan Lin
- Azrieli Adult Neurodevelopmental Centre and Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Isaac Wen-Yih Tseng
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Susan Shur-Fen Gau
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
- Department of Psychiatry, National Taiwan University Hospital and College of Medicine, No. 7, Chung-Shan South Road, Taipei, 10002, Taiwan.
- Graduate Institute of Brain and Mind Sciences and Department of Psychology, National Taiwan University, Taipei, Taiwan.
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17
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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: 7.7] [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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18
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Dobson ET, Croarkin PE, Schroeder HK, Varney ST, Mossman SA, Cecil K, Strawn JR. Bridging Anxiety and Depression: A Network Approach in Anxious Adolescents. J Affect Disord 2021; 280:305-314. [PMID: 33221716 PMCID: PMC7744436 DOI: 10.1016/j.jad.2020.11.027] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 09/22/2020] [Accepted: 11/07/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND The phenomenology and neurobiology of depressive symptoms in anxious youth is poorly understood. METHODS Association networks of anxiety and depressive symptoms were developed in adolescents with generalized anxiety disorder (GAD; N=52, mean age: 15.4±1.6 years) who had not yet developed major depressive disorder. Community analyses were used to create consensus clusters of depressive and anxiety symptoms and to identify "bridge" symptoms between the clusters. In a subset of this sample (n=39), correlations between cortical thickness and depressive symptom severity was examined. RESULTS Ten symptoms clustered into an anxious community, 5 clustered into a depressive community and 5 bridged the two communities: impaired schoolwork, excessive weeping, low self-esteem, disturbed appetite, and physical symptoms of depression. Patients with more depressive cluster burden had altered cortical thickness in prefrontal, inferior and medial parietal (e.g., precuneus, supramarginal) regions and had decreases in cortical thickness-age relationships in prefrontal, temporal and parietal cortices. LIMITATIONS Data are cross-sectional and observational. Limited sample size precluded secondary analysis of comorbidities and demographics. CONCLUSIONS In youth with GAD, a sub-set of symptoms not directly related to anxiety bridge anxiety and depression. Youth with greater depressive cluster burden had altered cortical thickness in cortical structures within the default mode and central executive networks. These alternations in cortical thickness may represent a distinct neurostructural fingerprint in anxious youth with early depressive symptoms. Finally, youth with GAD and high depressive symptoms had reduced age-cortical thickness correlations. The emergence of depressive symptoms in early GAD and cortical development may have bidirectional, neurobiological relationships.
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Affiliation(s)
- Eric T Dobson
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina.
| | | | - Heidi K Schroeder
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, OH 45219
| | - Sara T Varney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, OH 45219
| | - Sarah A Mossman
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, OH 45219
| | - Kim Cecil
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio 45267
| | - Jeffrey R Strawn
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, OH 45219
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19
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Paulus FW, Ohmann S, Möhler E, Plener P, Popow C. Emotional Dysregulation in Children and Adolescents With Psychiatric Disorders. A Narrative Review. Front Psychiatry 2021; 12:628252. [PMID: 34759846 PMCID: PMC8573252 DOI: 10.3389/fpsyt.2021.628252] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 08/27/2021] [Indexed: 12/14/2022] Open
Abstract
Background: Emotional dysregulation (ED) is a transdiagnostic construct defined as the inability to regulate the intensity and quality of emotions (such as, fear, anger, sadness), in order to generate an appropriate emotional response, to handle excitability, mood instability, and emotional overreactivity, and to come down to an emotional baseline. Because ED has not been defined as a clinical entity, and because ED plays a major role in child and adolescent psychopathology, we decided to summarize current knowledge on this topic based on a narrative review of the current literature. Methods: This narrative review is based on a literature search of peer-reviewed journals. We searched the databases ERIC, PsycARTICLES, PsycINFO and PSYNDEX on June 2, 2020 for peer reviewed articles published between 2000 and 2020 in English language for the preschool, school, and adolescent age (2-17 years) using the following search terms: "emotional dysregulation" OR "affect dysregulation," retrieving 943 articles. Results: The results of the literature search are presented in the following sections: the relationship between ED and psychiatric disorders (ADHD, Mood Disorders, Psychological Trauma, Posttraumatic Stress Disorder, Non-suicidal Self-Injury, Eating Disorders, Oppositional Defiant Disorder, Conduct Disorder, Disruptive Disruptive Mood Dysregulation Disorder, Personality Disorders, Substance Use Disorder, Developmental Disorders, Autism Spectrum Disorder, Psychosis and Schizophrenia, and Gaming Disorder), prevention, and treatment of ED. Conclusion: Basic conditions of ED are genetic disposition, the experience of trauma, especially sexual or physical abuse, emotional neglect in childhood or adolescence, and personal stress. ED is a complex construct and a comprehensive concept, aggravating a number of various mental disorders. Differential treatment is mandatory for individual and social functioning.
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Affiliation(s)
- Frank W Paulus
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Saarland University Medical Center, Homburg, Germany
| | - Susanne Ohmann
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria.,Austrian Society of Cognitive Behavioral Therapy (OeGVT), Vienna, Austria
| | - Eva Möhler
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Saarland University Medical Center, Homburg, Germany
| | - Paul Plener
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria
| | - Christian Popow
- Department of Child and Adolescent Psychiatry, Medical University of Vienna, Vienna, Austria.,Austrian Society of Cognitive Behavioral Therapy (OeGVT), Vienna, Austria.,Department of Child and Adolescent Psychiatry and Psychotherapy, Regional Psychiatric Hospital, Mauer, Austria
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20
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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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21
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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: 1.0] [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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22
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Beauchaine TP, Tackett JL. Irritability as a Transdiagnostic Vulnerability Trait:Current Issues and Future Directions. Behav Ther 2020; 51:350-364. [PMID: 32138943 DOI: 10.1016/j.beth.2019.10.009] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 10/21/2019] [Accepted: 10/21/2019] [Indexed: 12/13/2022]
Abstract
In recent years, irritability has received increasing attention among mental health professionals given its transdiagnostic associations with diverse forms of psychopathology. In contrast to other emotional states and traits, however, literature addressing associations between irritability and related temperament and personality constructs is limited. In addition, those who study irritability have diverse perspectives on its neurobiological substrates. In this comment, we situate irritability in the literatures on child temperament and adult personality, and describe a model in which irritability derives from low tonic dopamine (DA) levels and low phasic DA reactivity in subcortical neural structures implicated in appetitive responding. We note that different findings often emerge in neuroimaging studies when irritability is assessed in circumscribed diagnostic groups versus representative samples. We conclude with directions for future research, and propose that more authors use hierarchical Bayesian modeling, which captures functional dependencies between irritability and other dispositional traits (e.g., trait anxiety) that standard regression models are insensitive too. Treatment implications are also considered.
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23
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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: 3.4] [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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24
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Spechler PA, Chaarani B, Orr C, Mackey S, Higgins ST, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Conrod PJ, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Martinot JL, Nees F, Orfanos DP, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Garavan H, Althoff RR. Neuroimaging Evidence for Right Orbitofrontal Cortex Differences in Adolescents With Emotional and Behavioral Dysregulation. J Am Acad Child Adolesc Psychiatry 2019; 58:1092-1103. [PMID: 31004740 DOI: 10.1016/j.jaac.2019.01.021] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 01/15/2019] [Accepted: 04/11/2019] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To characterize the structural and functional neurobiology of a large group of adolescents exhibiting a behaviorally and emotionally dysregulated phenotype. METHOD Adolescents aged 14 years from the IMAGEN study were investigated. Latent class analysis (LCA) on the Strengths and Difficulties Questionnaire (SDQ) was used to identify a class of individuals with elevated behavioral and emotional difficulties ("dysregulated"; n = 233) who were compared to a matched sample from a low symptom class (controls, n = 233). Whole-brain gray matter volume (GMV) images were compared using a general linear model with 10,000 random label permutations. Regional GMV findings were then probed for functional differences from three functional magnetic resonance imaging (fMRI) tasks. Significant brain features then informed mediation path models linking the likelihood of psychiatric disorders (DSM-IV) with dysregulation. RESULTS Whole-brain differences were found in the right orbitofrontal cortex (R.OFC; p < .05; k = 48), with dysregulated individuals exhibiting lower GMV. The dysregulated group also exhibited higher activity in this region during successful inhibitory control (F1,429 = 7.53, p < .05). Path analyses indicated significant direct effects between the likelihood of psychopathologies and dysregulation. Modeling the R.OFC as a mediator returned modest partial effects, suggesting that the path linking the likelihood of an anxiety or conduct disorder diagnoses to dysregulation is partially explained by this anatomical feature. CONCLUSION A large sample of dysregulated adolescents exhibited lower GMV in the R.OFC relative to controls. Dysregulated individuals also exhibited higher regional activations when exercising inhibitory control at performance levels comparable to those of controls. These findings suggest a neurobiological marker of dysregulation and highlight the role of the R.OFC in impaired emotional and behavioral control.
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Affiliation(s)
- Philip A Spechler
- University of Vermont, Burlington; Vermont Center on Behavior and Health, University of Vermont, Burlington.
| | - Bader Chaarani
- University of Vermont, Burlington; Vermont Center on Behavior and Health, University of Vermont, Burlington
| | | | | | - Stephen T Higgins
- University of Vermont, Burlington; Vermont Center on Behavior and Health, University of Vermont, Burlington
| | - Tobias Banaschewski
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | | | - Erin Burke Quinlan
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | | | - Sylvane Desrivières
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Herta Flor
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany; School of Social Sciences, University of Mannheim, Mannheim, Germany
| | | | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, UK
| | - Andreas Heinz
- Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud - University Paris Saclay, France
| | - Frauke Nees
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | | | - Luise Poustka
- University Medical Centre Göttingen, Germany, and the Clinic for Child and Adolescent Psychiatry, Medical University of Vienna, Austria
| | | | | | - Henrik Walter
- Campus Charité Mitte, Charité, Universitätsmedizin Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS) and MRC-SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, UK
| | - Hugh Garavan
- University of Vermont, Burlington; Vermont Center on Behavior and Health, University of Vermont, Burlington
| | - Robert R Althoff
- University of Vermont, Burlington; Vermont Center on Behavior and Health, University of Vermont, Burlington
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25
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Stoddard J. Editorial: Linking Emotional and Behavioral Dysregulation in Adolescents to Regulatory Cortex. J Am Acad Child Adolesc Psychiatry 2019; 58:1057-1058. [PMID: 31055055 PMCID: PMC6815678 DOI: 10.1016/j.jaac.2019.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/25/2019] [Indexed: 11/28/2022]
Abstract
A major goal of psychiatric neuroscience is to identify brain regions and circuits that underlie clinical phenomena to gain a more precise understanding of their nature and treatment.1 These are early days in this effort, especially for pediatric mental health, but already there is evidence that brain changes may herald psychosis in youths at genetic risk for schizophrenia2 or response to therapy in youths with anxiety.3 Elucidating these brain-behavior relationships requires one to identify a clinically meaningful phenotype and associate it with specific brain regions or circuits that plausibly underlie the phenotype. In their article, Spechler et al.4 do just that by linking parent reports of broadly defined emotional and behavioral difficulties with gray matter volume in the orbitofrontal cortex (OFC). It is a compelling find because the OFC is thought to play a role in adaptive socioemotional functioning. The OFC is necessary for evaluating what outcome is most desirable in complex situations and is interconnected with other regions, such as the amygdala, that underlie social and emotional responses.
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Affiliation(s)
- Joel Stoddard
- Pediatric Mental Health Institute, School of Medicine, University of Colorado, Denver.
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26
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de Zwarte SMC, Brouwer RM, Agartz I, Alda M, Aleman A, Alpert KI, Bearden CE, Bertolino A, Bois C, Bonvino A, Bramon E, Buimer EEL, Cahn W, Cannon DM, Cannon TD, Caseras X, Castro-Fornieles J, Chen Q, Chung Y, De la Serna E, Di Giorgio A, Doucet GE, Eker MC, Erk S, Fears SC, Foley SF, Frangou S, Frankland A, Fullerton JM, Glahn DC, Goghari VM, Goldman AL, Gonul AS, Gruber O, de Haan L, Hajek T, Hawkins EL, Heinz A, Hillegers MHJ, Hulshoff Pol HE, Hultman CM, Ingvar M, Johansson V, Jönsson EG, Kane F, Kempton MJ, Koenis MMG, Kopecek M, Krabbendam L, Krämer B, Lawrie SM, Lenroot RK, Marcelis M, Marsman JBC, Mattay VS, McDonald C, Meyer-Lindenberg A, Michielse S, Mitchell PB, Moreno D, Murray RM, Mwangi B, Najt P, Neilson E, Newport J, van Os J, Overs B, Ozerdem A, Picchioni MM, Richter A, Roberts G, Aydogan AS, Schofield PR, Simsek F, Soares JC, Sugranyes G, Toulopoulou T, Tronchin G, Walter H, Wang L, Weinberger DR, Whalley HC, Yalin N, Andreassen OA, Ching CRK, van Erp TGM, Turner JA, Jahanshad N, Thompson PM, Kahn RS, van Haren NEM. The Association Between Familial Risk and Brain Abnormalities Is Disease Specific: An ENIGMA-Relatives Study of Schizophrenia and Bipolar Disorder. Biol Psychiatry 2019; 86:545-556. [PMID: 31443932 PMCID: PMC7068800 DOI: 10.1016/j.biopsych.2019.03.985] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 03/19/2019] [Accepted: 03/24/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Schizophrenia and bipolar disorder share genetic liability, and some structural brain abnormalities are common to both conditions. First-degree relatives of patients with schizophrenia (FDRs-SZ) show similar brain abnormalities to patients, albeit with smaller effect sizes. Imaging findings in first-degree relatives of patients with bipolar disorder (FDRs-BD) have been inconsistent in the past, but recent studies report regionally greater volumes compared with control subjects. METHODS We performed a meta-analysis of global and subcortical brain measures of 6008 individuals (1228 FDRs-SZ, 852 FDRs-BD, 2246 control subjects, 1016 patients with schizophrenia, 666 patients with bipolar disorder) from 34 schizophrenia and/or bipolar disorder family cohorts with standardized methods. Analyses were repeated with a correction for intracranial volume (ICV) and for the presence of any psychopathology in the relatives and control subjects. RESULTS FDRs-BD had significantly larger ICV (d = +0.16, q < .05 corrected), whereas FDRs-SZ showed smaller thalamic volumes than control subjects (d = -0.12, q < .05 corrected). ICV explained the enlargements in the brain measures in FDRs-BD. In FDRs-SZ, after correction for ICV, total brain, cortical gray matter, cerebral white matter, cerebellar gray and white matter, and thalamus volumes were significantly smaller; the cortex was thinner (d < -0.09, q < .05 corrected); and third ventricle was larger (d = +0.15, q < .05 corrected). The findings were not explained by psychopathology in the relatives or control subjects. CONCLUSIONS Despite shared genetic liability, FDRs-SZ and FDRs-BD show a differential pattern of structural brain abnormalities, specifically a divergent effect in ICV. This may imply that the neurodevelopmental trajectories leading to brain anomalies in schizophrenia or bipolar disorder are distinct.
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Affiliation(s)
- Sonja M C de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands.
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - André Aleman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Catherine Bois
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Aurora Bonvino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Elvira Bramon
- Division of Psychiatry, Neuroscience in Mental Health Research Department, University College London, London, United Kingdom
| | - Elizabeth E L Buimer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Dara M Cannon
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Tyrone D Cannon
- Department of Psychology, Yale University, New Haven, Connecticut, United Kingdom
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, United Kingdom
| | - Josefina Castro-Fornieles
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, Maryland
| | - Yoonho Chung
- Department of Psychology, Yale University, New Haven, Connecticut, United Kingdom
| | - Elena De la Serna
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Annabella Di Giorgio
- Department of Experimental and Clinical Medicine, Università Politecnica delle Marche, Ancona, Italy
| | - Gaelle E Doucet
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Mehmet Cagdas Eker
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York
| | - Susanne Erk
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Scott C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, California
| | - Sonya F Foley
- Cardiff University Brain Research Imaging Centre, Cardiff University, United Kingdom
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Andrew Frankland
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Janice M Fullerton
- School of Medical Sciences, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia
| | - David C Glahn
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut; Tommy Fuss Center for Neuropsychiatric Disease Research, Boston Children's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Vina M Goghari
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada; Graduate Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada
| | | | - Ali Saffet Gonul
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychiatry and Behavioral Sciences, Mercer University School of Medicine, Macon, Georgia
| | - Oliver Gruber
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Lieuwe de Haan
- Early Psychosis Unit, Department of Psychiatry, Academic Medical Center, Amsterdam, Netherlands
| | - Tomas Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada; National Institute of Mental Health, Klecany, Czech Republic
| | - Emma L Hawkins
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Andreas Heinz
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Manon H J Hillegers
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, Netherlands
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Christina M Hultman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingvar
- Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Viktoria Johansson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Fergus Kane
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Matthew J Kempton
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Marinka M G Koenis
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut
| | - Miloslav Kopecek
- National Institute of Mental Health, Klecany, Czech Republic; Department of Psychiatry, Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lydia Krabbendam
- Department of Clinical, Neuro and Developmental Psychology, Faculty of Behaviour and Movement Sciences, Vrije Universiteit, Amsterdam, Netherlands
| | - Bernd Krämer
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Rhoshel K Lenroot
- Neuroscience Research Australia, Sydney, Australia; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | - Jan-Bernard C Marsman
- Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Baltimore, Maryland; Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Colm McDonald
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Andreas Meyer-Lindenberg
- Clinical Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stijn Michielse
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Dolores Moreno
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Robin M Murray
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Benson Mwangi
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Pablo Najt
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Emma Neilson
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Jason Newport
- Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht University, Maastricht, Netherlands
| | | | - Aysegul Ozerdem
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York; Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Marco M Picchioni
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Anja Richter
- Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, University of Heidelberg, Heidelberg, Germany
| | - Gloria Roberts
- School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Aybala Saricicek Aydogan
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Izmir Katip Çelebi University, Izmir, Turkey
| | - Peter R Schofield
- School of Medical Sciences, University of New South Wales, Sydney, Australia; Neuroscience Research Australia, Sydney, Australia
| | - Fatma Simsek
- SoCAT LAB, Department of Psychiatry, School of Medicine, Ege University, Bornova, Izmir, Turkey; Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychiatry, Cigli State Hospital, Izmir, Turkey
| | - Jair C Soares
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, Texas
| | - Gisela Sugranyes
- Psychology and Psychology, 2017SGR881, Institute of Neuroscience, Hospital Clínic of Barcelona, Institute d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), University of Barcelona, Spain
| | - Timothea Toulopoulou
- Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Department of Psychology, Bilkent University, Ankara, Turkey; Department of Psychology, University of Hong Kong, Hong Kong, China
| | - Giulia Tronchin
- Centre for Neuroimaging and Cognitive Genomics and National Centre for Biomedical Engineering (NCBES), Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Henrik Walter
- Research Division of Mind and Brain, Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Heather C Whalley
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, United Kingdom
| | - Nefize Yalin
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), K.G. Jebsen Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Christopher R K Ching
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California; Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, California; Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, California
| | - Jessica A Turner
- Department of Psychology, Georgia State University, Atlanta, Georgia; Neuroscience Institute, Georgia State University, Atlanta, Georgia
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - René S Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Neeltje E M van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center-Sophia Children's Hospital, Rotterdam, Netherlands
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27
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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: 2.8] [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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28
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Drobinin V, Slaney C, Garnham J, Propper L, Uher R, Alda M, Hajek T. Larger right inferior frontal gyrus volume and surface area in participants at genetic risk for bipolar disorders. Psychol Med 2019; 49:1308-1315. [PMID: 30058502 DOI: 10.1017/s0033291718001903] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
BACKGROUND Larger grey matter volume of the inferior frontal gyrus (IFG) is among the most replicated biomarkers of genetic risk for bipolar disorders (BD). However, the IFG is a heterogeneous prefrontal region, and volumetric findings can be attributable to changes in cortical thickness (CT), surface area (SA) or gyrification. Here, we investigated the morphometry of IFG in participants at genetic risk for BD. METHODS We quantified the IFG cortical grey matter volume in 29 affected, 32 unaffected relatives of BD probands, and 42 controls. We then examined SA, CT, and cortical folding in subregions of the IFG. RESULTS We found volumetric group differences in the right IFG, with the largest volumes in unaffected high-risk and smallest in control participants (F2,192 = 3.07, p = 0.01). The volume alterations were localized to the pars triangularis of the IFG (F2,97 = 4.05, p = 0.02), with no differences in pars opercularis or pars orbitalis. Pars triangularis volume was highly correlated with its SA [Pearson r(101) = 0.88, p < 0.001], which significantly differed between the groups (F2,97 = 4.45, p = 0.01). As with volume, the mean SA of the pars triangularis was greater in unaffected (corrected p = 0.02) and affected relatives (corrected p = 0.05) compared with controls. We did not find group differences in pars triangularis CT or gyrification. CONCLUSIONS These findings strengthen prior knowledge about the volumetric findings in this region and provide a new insight into the localization and topology of IFG alterations. The unique nature of rIFG morphology in BD, with larger volume and SA early in the course of illness, could have practical implications for detection of participants at risk for BD.
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Affiliation(s)
- V Drobinin
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - C Slaney
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - J Garnham
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - L Propper
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - R Uher
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - M Alda
- Department of Psychiatry,Dalhousie University,Halifax,Canada
| | - T Hajek
- Department of Psychiatry,Dalhousie University,Halifax,Canada
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29
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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: 3.8] [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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30
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Lu X, Zhong Y, Ma Z, Wu Y, Fox PT, Zhang N, Wang C. Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies. Depress Anxiety 2019; 36:353-364. [PMID: 30475436 DOI: 10.1002/da.22866] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 10/20/2018] [Accepted: 11/06/2018] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a common and destructive psychiatric illness worldwide. Although it is known that BD is associated with morphological abnormalities of the brain, the regions implicated in BD remain unclear. Therefore, we aimed to update current knowledge on potential structural imaging biomarkers of BD. METHODS Studies published up to January 31, 2018, were identified by a comprehensive literature search of PubMed, EBSCO, and BrainMap voxel-based morphometry (VBM) database. Whole-brain VBM studies that examined gray matter (GM) abnormalities of group comparisons between BD and healthy controls (HC) and reported results as coordinates in a standard reference space were included. Different meta-analyses were performed by activation likelihood estimation (ALE) algorithm. RESULTS A total of 46 studies with 56 experiments, including 1720 subjects and 268 foci were included. Seven different meta-analyses were calculated separately across experiments reporting decreased or increased GM volume among BD, BDΙ, BD-adults, and BD-youths groups. Fifteen regions of significantly different GM volume between four groups and HC were identified. There were extensive GM deficits in the prefrontal and temporal cortex, and enlargements in the putamen, cingulate cortex, and precuneus. CONCLUSIONS The results revealed that the thinning of prefrontal cortex was a key region in the pathophysiology of BD. The enlargement of the cingulate cortex may be implicated in a compensatory mechanism. It underscored important differences between BD-adults and BD-youths and specific biomarkers of three subgroups.
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Affiliation(s)
- Xin Lu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Zijuan Ma
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yun Wu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Peter T Fox
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,South Texas Veterans Healthcare System, University of Texas Health San Antonio, San Antonio, United States.,Research Imaging Institute, University of Texas Health San Antonio, San Antonio, United States
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
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31
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Attention deficit-hyperactivity disorder in adult bipolar disorder patients. J Affect Disord 2019; 243:391-396. [PMID: 30267955 DOI: 10.1016/j.jad.2018.09.038] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 08/17/2018] [Accepted: 09/15/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND It has long been recognized that bipolar disorder (BD) and attention deficit-hyperactivity disorder (ADHD) co-occur in an uncertain proportion of patients, recognized commonly in juvenile years. There is growing suspicion that such co-occurrence is associated with several clinically unfavorable characteristics. Accordingly, we compared 703 type I or II BD subjects with vs. without a lifetime diagnosis of ADHD. METHODS We compared 173 BD patients with vs. 530 without co-occurring ADHD for selected demographic and clinical factors, using standard initial bivariate comparisons followed by multivariable logistic regression modeling. RESULTS ADHD was found in 25% of BD subjects, more among men and with type I BD. Those with ADHD had higher scores at the Adult ADHD Self-Report Scale (ASRS), were more likely to have had less successful school performance, unemployment, lower socioeconomic status, less marriage and more divorce, as well as more substance abuse, suicide attempts, and [hypo]mania, but were less likely to have an anxiety disorder or a family history of mood disorder. Multivariable logistic regression modeling found six factors differing between BD subjects with versus without ADHD: less education after high school, higher ASRS score for inattention, ever separated or divorced, irritable temperament, male sex, and lower scores on the Hamilton Depression Rating Scale (HDRS) at intake. COMMENTS Co-occurrence of ADHD with BD was identified at a moderate rate, and was associated with several unfavorable outcomes as well as a tendency toward [hypo]mania.
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32
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Yip SW, Potenza MN. Application of Research Domain Criteria to childhood and adolescent impulsive and addictive disorders: Implications for treatment. Clin Psychol Rev 2018; 64:41-56. [PMID: 27876165 PMCID: PMC5423866 DOI: 10.1016/j.cpr.2016.11.003] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2014] [Revised: 03/18/2016] [Accepted: 11/07/2016] [Indexed: 12/30/2022]
Abstract
The Research Domain Criteria (RDoC) initiative provides a large-scale, dimensional framework for the integration of research findings across traditional diagnoses, with the long-term aim of improving existing psychiatric treatments. A neurodevelopmental perspective is essential to this endeavor. However, few papers synthesizing research findings across childhood and adolescent disorders exist. Here, we discuss how the RDoC framework may be applied to the study of childhood and adolescent impulsive and addictive disorders in order to improve neurodevelopmental understanding and to enhance treatment development. Given the large scope of RDoC, we focus on a single construct highly relevant to addictive and impulsive disorders - initial responsiveness to reward attainment. Findings from genetic, molecular, neuroimaging and other translational research methodologies are highlighted.
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Affiliation(s)
- Sarah W Yip
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; The National Center on Addiction and Substance Abuse, Yale University School of Medicine, New Haven, CT, United States
| | - Marc N Potenza
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States; The National Center on Addiction and Substance Abuse, Yale University School of Medicine, New Haven, CT, United States; Child Study Center, Yale University School of Medicine, New Haven, CT, United States; Department of Neurobiology, Yale University School of Medicine, New Haven, CT, United States.
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33
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Irritability Trajectories, Cortical Thickness, and Clinical Outcomes in a Sample Enriched for Preschool Depression. J Am Acad Child Adolesc Psychiatry 2018; 57:336-342.e6. [PMID: 29706163 PMCID: PMC5932635 DOI: 10.1016/j.jaac.2018.02.010] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 02/16/2018] [Accepted: 03/09/2018] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Cross-sectional, longitudinal, and genetic associations exist between irritability and depression. Prior studies have examined developmental trajectories of irritability, clinical outcomes, and associations with child and familial depression. However, studies have not integrated neurobiological measures. The present study examined developmental trajectories of irritability, clinical outcomes, and cortical structure among preschoolers oversampled for depressive symptoms. METHOD Beginning at 3 to 5 years old, a sample of 271 children enriched for early depressive symptoms were assessed longitudinally by clinical interview. Latent class mixture models identified trajectories of irritability severity. Risk factors, clinical outcomes, and cortical thickness were compared across trajectory classes. Cortical thickness measures were extracted from 3 waves of magnetic resonance imaging at 7 to 12 years of age. RESULTS Three trajectory classes were identified among these youth: 53.50% of children exhibited elevated irritability during preschool that decreased longitudinally, 30.26% exhibited consistently low irritability, and 16.24% exhibited consistently elevated irritability. Compared with other classes, the elevated irritability class exhibited higher rates of maternal depression, early life adversity, later psychiatric diagnoses, and functional impairment. Further, elevated baseline irritability predicted later depression beyond adversity and personal and maternal depression history. The elevated irritability class exhibited a thicker cortex in the left superior frontal and temporal gyri and the right inferior parietal lobule. CONCLUSION Irritability manifested with specific developmental trajectories in this sample enriched for early depression. Persistently elevated irritability predicted poor psychiatric outcomes, higher risk for later depression, and decreased overall function later in development. Greater frontal, temporal, and parietal cortical thickness also was found, providing neural correlates of this risk trajectory.
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34
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Li G, Liu P, Andari E, Zhang A, Zhang K. The Role of Amygdala in Patients With Euthymic Bipolar Disorder During Resting State. Front Psychiatry 2018; 9:445. [PMID: 30283367 PMCID: PMC6156348 DOI: 10.3389/fpsyt.2018.00445] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 08/29/2018] [Indexed: 12/20/2022] Open
Abstract
The current study aims to explore the functional changes of the amygdala in patients with euthymic Bipolar Disorder (BD) using resting state fMRI (rs-fMRI). Twenty-one euthymic patients with bipolar disorder and 28 healthy controls participated in this study. Two of the euthymic patients with BD and three of the healthy controls were excluded due to excessive head motion. We found that patients with euthymia (38.79 ± 12.03) show higher fALFF (fractional Amplitude of low-frequency fluctuation) value of the amygdala (t = 2.076, P = 0.044), and lower functional connectivity between the amygdala and supplementary motor area (p < 0.01, GRF corrected) than healthy controls (33.40 ± 8.21). However, euthymic patients did not show a differential activity in ReHo (Regional Homogeneity) and gray matter of the amygdala region as compared to healthy controls. Thus, despite the absence of clinical symptoms in euthymic patients with BD, the amygdala functional activity and its connectivity to other brain regions remain altered. Further investigation of negative emotions and social functioning in euthymic patients with BD are needed and can help pave the way for a better understanding of BD psychopathology.
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Affiliation(s)
- Gaizhi Li
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Penghong Liu
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Elissar Andari
- Department of Psychiatry and Behavioral Sciences, Center for Translational Social Neuroscience, Silvio O. Conte Center for Oxytocin and Social Cognition, Yerkes National Primate Research Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Aixia Zhang
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Kerang Zhang
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
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35
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Cortical Thickness and Subcortical Gray Matter Volume in Pediatric Anxiety Disorders. Neuropsychopharmacology 2017; 42:2423-2433. [PMID: 28436445 PMCID: PMC5645752 DOI: 10.1038/npp.2017.83] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 04/11/2017] [Accepted: 04/17/2017] [Indexed: 12/15/2022]
Abstract
Perturbations in the prefrontal cortex (PFC), hippocampus, and amygdala are implicated in the development of anxiety disorders. However, most structural neuroimaging studies of patients with anxiety disorders utilize adult samples, and the few studies in youths examine small samples, primarily with volume-based measures. This study tested the hypothesis that cortical thickness of PFC regions and gray matter volume of the hippocampus and amygdala differ between pediatric anxiety disorder patients and healthy volunteers (HVs). High-resolution 3-Tesla T1-weighted MRI scans were acquired in 151 youths (75 anxious, 76 HV; ages 8-18). Analyses tested associations of brain structure with anxiety diagnosis and severity across both groups, as well as response to cognitive-behavioral therapy in a subset of 53 patients. Cortical thickness was evaluated both within an a priori PFC mask (small-volume corrected) and using an exploratory whole-brain-corrected (p<0.05) approach. Anxious relative to healthy youths exhibited thicker cortex in the left ventromedial PFC (vmPFC) and left precentral gyrus. Both anxiety diagnosis and symptom severity were associated with smaller right hippocampal volume. In patients, thinner cortex in parietal and occipital cortical regions was associated with worse treatment response. Pediatric anxiety was associated with structural differences in vmPFC and hippocampus, regions implicated in emotional processing and in developmental models of anxiety pathophysiology. Parietal and occipital cortical thickness were related to anxiety treatment response but not baseline anxiety.
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36
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Ferro A, Bonivento C, Delvecchio G, Bellani M, Perlini C, Dusi N, Marinelli V, Ruggeri M, Altamura AC, Crespo-Facorro B, Brambilla P. Longitudinal investigation of the parietal lobe anatomy in bipolar disorder and its association with general functioning. Psychiatry Res Neuroimaging 2017; 267:22-31. [PMID: 28732208 DOI: 10.1016/j.pscychresns.2017.06.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 05/18/2017] [Accepted: 06/18/2017] [Indexed: 01/21/2023]
Abstract
The parietal lobe (PL) supports cognitive domains, including attention and memory, which are impaired in bipolar disorder (BD). Although cross-sectional voxel-based morphometry studies found reduced PL grey matter (GM) in BD, none has longitudinally focused on PL anatomy in BD, relating it to patients' functioning. Thirty-eight right-handed BD patients and 42 matched healthy subjects (HS) underwent a Magnetic Resonance Imaging (MRI) scan at baseline. Seventeen BD patients and 16 matched HS underwent a follow-up MRI. PL white matter (WM) and GM volumes were measured. The trajectory of parietal volumes over time and the possible relation with the global functioning were investigated in both BD patients and HS. At baseline, BD patients showed significant reduced PL WM and GM and different WM laterality compared with HS. Furthermore, smaller PL WM volumes predicted lower global functioning in BD, but not in HS. At follow-up, although BD patients reported reduced PL WM compared with HS, no different pattern of volume changes over time was detected between groups. This study suggests the involvement of the PL in the pathophysiology of BD. In particular, PL WM reductions seem to predict an impairment in general functioning in BD and might represent a marker of functional outcome.
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Affiliation(s)
- Adele Ferro
- Dipartimento di Area Medica DAME Inter-University Center for Behavioral Neurosciences (ICBN), University of Udine, Udine, Italy; Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Carolina Bonivento
- Dipartimento di Area Medica DAME Inter-University Center for Behavioral Neurosciences (ICBN), University of Udine, Udine, Italy
| | - Giuseppe Delvecchio
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; IRCCS Scientific Institute, San Vito al Tagliamento, Pordenone, Italy
| | - Marcella Bellani
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Nicola Dusi
- Psychiatry Unit, Department of Mental Health, ASST-Nord Milano, Milan, Italy
| | - Veronica Marinelli
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | | | - A Carlo Altamura
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Paolo Brambilla
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX, USA.
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Affiliation(s)
- Melissa A. Brotman
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, Maryland 20892;, ,
| | - Katharina Kircanski
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, Maryland 20892;, ,
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, Bethesda, Maryland 20892;, ,
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Ng TH, Burke TA, Stange JP, Walshaw PD, Weiss RB, Urosevic S, Abramson LY, Alloy LB. Personality disorder symptom severity predicts onset of mood episodes and conversion to bipolar I disorder in individuals with bipolar spectrum disorder. JOURNAL OF ABNORMAL PSYCHOLOGY 2017; 126:271-284. [PMID: 28368159 PMCID: PMC5380154 DOI: 10.1037/abn0000255] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Although personality disorders (PDs) are highly comorbid with bipolar spectrum disorders (BSDs), little longitudinal research has been conducted to examine the prospective impact of PD symptoms on the course of BSDs. The aim of this study is to examine whether PD symptom severity predicts shorter time to onset of bipolar mood episodes and conversion to bipolar I disorder over time among individuals with less severe BSDs. Participants (n = 166) with bipolar II disorder, cyclothymia, or bipolar disorder not otherwise specified completed diagnostic interview assessments of PD symptoms and self-report measures of mood symptoms at baseline. They were followed prospectively with diagnostic interviews every 4 months for an average of 3.02 years. Cox proportional hazard regression analyses indicated that overall PD symptom severity significantly predicted shorter time to onset of hypomanic (hazard ratio [HR] = 1.42; p < .001) and major depressive episodes (HR = 1.51; p < .001) and conversion to bipolar I disorder (HR = 2.51; p < .001), after controlling for mood symptoms. Results also suggested that cluster B severity predicted shorter time to onset of hypomanic episodes (HR = 1.38; p = .002) and major depressive episodes (HR = 1.35; p = .01) and conversion to bipolar I disorder (HR = 2.77; p < .001), whereas cluster C severity (HR = 1.56; p < .001) predicted shorter time to onset of major depressive episodes. These results support predisposition models in suggesting that PD symptoms may act as a risk factor for a more severe course of BSDs. (PsycINFO Database Record
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Affiliation(s)
| | | | | | - Patricia D Walshaw
- Semel Institute for Neuroscience and Human Behavior, University of California
| | | | | | - Lyn Y Abramson
- Department of Psychology, University of Wisconsin-Madison
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Ganzola R, Duchesne S. Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls. Bipolar Disord 2017; 19:74-83. [PMID: 28444949 DOI: 10.1111/bdi.12488] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Revised: 03/06/2017] [Accepted: 03/12/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVE We present a retrospective meta-analysis of voxel-based morphometry (VBM) of gray (GM) and white matter (WM) differences between patients with bipolar disorder (BD) and behaviorally healthy controls. METHODS We used the activation likelihood estimation and Sleuth software for our meta-analysis, considering P-value maps at the cluster level inference of .05 with uncorrected P<.001. Results were visualized with the software MANGO. RESULTS We included twenty-five articles in the analysis, and separated the comparisons where BD patients had lower GM or WM concentrations than controls (573 subjects, 21 experiments, and 117 locations/180 subjects, five experiments, and 15 locations, respectively) and the comparisons where BD patients had greater GM concentrations than controls (217 subjects, nine experiments, and 49 locations). Higher WM concentrations in BD patients were not detected. We observed for BD reduced GM concentrations in the left medial frontal gyrus and right inferior/precentral gyri encompassing the insular cortex, and greater GM concentrations in the left putamen. Further, lower WM concentrations were detected in the left inferior longitudinal fasciculus, left superior corona radiata, and left posterior cingulum. CONCLUSIONS This meta-analysis confirms deterioration of frontal and insular regions as already found in previous meta-analysis. GM reductions in these regions could be related to emotional processing and decision making, which are typically impaired in BD. Moreover, we found abnormalities in precentral frontal areas and putamen that have been linked to more basic functions, which could point to sensory and specific cognitive deficits. Finally, WM reductions involved circuitry that may contribute to emotional dysregulation in BD.
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Affiliation(s)
- Rossana Ganzola
- Institut universitaire en santé mentale de Québec, Québec City, Québec, Canada
| | - Simon Duchesne
- Institut universitaire en santé mentale de Québec, Québec City, Québec, Canada.,Départment de Radiologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
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40
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Irritability in child and adolescent psychopathology: An integrative review for ICD-11. Clin Psychol Rev 2017; 53:29-45. [PMID: 28192774 DOI: 10.1016/j.cpr.2017.01.004] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 01/02/2017] [Accepted: 01/16/2017] [Indexed: 12/13/2022]
Abstract
In preparation for the World Health Organization's development of the Eleventh Revision of the International Classification of Diseases and Related Health Problems (ICD-11) chapter on Mental and Behavioral Disorders, this article reviews the literature pertaining to severe irritability in child and adolescent psychopathology. First, research on severe mood dysregulation suggests that youth with irritability and temper outbursts, among other features of hyperactivity and arousal, demonstrate cross-sectional correlates and developmental outcomes that distinguish them from youth with bipolar disorder. Second, other evidence points to an irritable dimension of Oppositional Defiant Disorder symptomatology, which is uniquely associated with concurrent and subsequent internalizing problems. In contrast to the Diagnostic and Statistical Manual of Mental Disorders' (5th ed.) Disruptive Mood Dysregulation Disorder, our review of the literature supports a different solution: a subtype, Oppositional Defiant Disorder with chronic irritability/anger (proposal included in Appendix). This solution is more consistent with the available evidence and is a better fit with global public health considerations such as harm/benefit potential, clinical utility, and cross-cultural applicability. Implications for assessment, treatment, and research are discussed.
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41
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Zhao Q, Li H, Yu X, Huang F, Wang Y, Liu L, Cao Q, Qian Q, Zang Y, Sun L, Wang Y. Abnormal Resting-State Functional Connectivity of Insular Subregions and Disrupted Correlation with Working Memory in Adults with Attention Deficit/Hyperactivity Disorder. Front Psychiatry 2017; 8:200. [PMID: 29075206 PMCID: PMC5641567 DOI: 10.3389/fpsyt.2017.00200] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 09/25/2017] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES Executive function (EF) deficits are major impairments in adults with attention deficit/hyperactivity disorder (ADHD). Previous studies have shown that the insula is involved in cognitive and EFs. However, the insula is highly heterogeneous in function, and few studies have focused on functional networks which related to specific insular subregions in adults with ADHD. We explored the functional networks of the insular subregions [anterior insula (AI), mid-insula (MI), and posterior insula (PI)]. Furthermore, their correlations with self-ratings of ecological EFs, including inhibition, shifting, and working memory were investigated. METHODS Resting-state functional magnetic resonance imaging data in 28 adults with ADHD and 30 matched healthy controls (HCs) were analyzed. The seed-based resting-state functional connectivity (RSFC) of the insular subregions was evaluated. We also investigated their associations with the Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) inhibition, working memory, and shifting factor scores. RESULTS Compared with HCs, adults with ADHD showed altered RSFC of the AI, with the precuneus, precentral gyrus, and inferior temporal gyrus extended to the middle temporal gyrus, lingual gyrus, and superior occipital gyrus, respectively. There were no significant differences in RSFC of the MI and PI between the two groups. Within the HC group, working memory scores were associated with the RSFC of AI with precuneus and temporal gyrus. However, there was no correlation between these variables in the ADHD group. CONCLUSION The study evaluated RSFC patterns of the insular subregions in adults with ADHD for the first time. Altered RSFC of the AI which is a crucial region of salience network (SN) and part of regions in default mode network (DMN), were detected in adults with ADHD in both results with and without global signal regression (GSR), suggesting that disrupted SN-DMN functional connectivity may be involved in EF impairments in adults with ADHD, especially with respect to working memory. Deficits of the AI which is involved in salient stimuli allocation, might be associated with the pathophysiology of ADHD. The inconsistent results of MI and PI between analyses with and without GSR need further exploration.
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Affiliation(s)
- Qihua Zhao
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Hui Li
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Xiaoyan Yu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Fang Huang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Yanfei Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Qingjiu Cao
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Qiujin Qian
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Yufeng Zang
- Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China.,Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China.,National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
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42
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Comparing Brain Morphometry Across Multiple Childhood Psychiatric Disorders. J Am Acad Child Adolesc Psychiatry 2016; 55:1027-1037.e3. [PMID: 27871637 DOI: 10.1016/j.jaac.2016.08.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 07/30/2016] [Accepted: 09/14/2016] [Indexed: 12/11/2022]
Abstract
OBJECTIVE In both children and adults, psychiatric illness is associated with structural brain alterations, particularly in the prefrontal cortex (PFC). However, most studies compare gray matter volume (GMV) in healthy volunteers (HVs) to one psychiatric group. We compared GMV among youth with anxiety disorders, bipolar disorder (BD), disruptive mood dysregulation disorder (DMDD), attention-deficit/hyperactivity disorder (ADHD), and HVs. METHOD 3-Tesla T1-weighted magnetic resonance imaging scans were acquired in 184 youths (39 anxious, 20 BD, 52 DMDD, 20 ADHD, and 53 HV). Voxel-based morphometry analyses were conducted. One-way analysis of variance tested GMV differences with whole-brain familywise error (p < .05) correction; secondary, exploratory whole-brain analyses used a threshold of p < .001, ≥200 voxels. Given recent frameworks advocating dimensional approaches in psychopathology research, we also tested GMV associations with continuous anxiety, irritability, and inattention symptoms. RESULTS Specificity emerged in the left dorsolateral PFC (dlPFC), which differed among youth with BD, anxiety, and HVs; GMV was increased in youth with anxiety, but decreased in BD, relative to HVs. Secondary analyses revealed BD-specific GMV decreases in the right lateral PFC, right dlPFC, and dorsomedial PFC, and also anxiety-specific GMV increases in the left dlPFC, right ventrolateral PFC, frontal pole, and right parahippocampal gyrus/lingual gyrus. Both BD and DMDD showed decreased GMV relative to HVs in the right dlPFC/superior frontal gyrus. GMV was not associated with dimensional measures of anxiety, irritability, or ADHD symptoms. CONCLUSION Both disorder-specific and shared GMV differences manifest in pediatric psychopathology. Some differences were specific to anxiety disorders, others specific to BD, and others shared between BD and DMDD. Further developmental research might map commonalities and differences of structure and function in diverse pediatric psychopathologies.
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43
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Vidal-Ribas P, Brotman MA, Valdivieso I, Leibenluft E, Stringaris A. The Status of Irritability in Psychiatry: A Conceptual and Quantitative Review. J Am Acad Child Adolesc Psychiatry 2016; 55:556-70. [PMID: 27343883 PMCID: PMC4927461 DOI: 10.1016/j.jaac.2016.04.014] [Citation(s) in RCA: 308] [Impact Index Per Article: 38.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 04/27/2016] [Accepted: 04/29/2016] [Indexed: 01/15/2023]
Abstract
OBJECTIVE Research and clinical interest in irritability have been on the rise in recent years. Yet several questions remain about the status of irritability in psychiatry, including whether irritability can be differentiated from other symptoms, whether it forms a distinct disorder, and whether it is a meaningful predictor of clinical outcomes. In this article, we try to answer these questions by reviewing the evidence on how reliably irritability can be measured and its validity. METHOD We combine a narrative and systematic review and meta-analysis of studies. For the systematic review and meta-analysis, we searched studies in PubMed and Web of Science based on preselected criteria. A total of 163 articles were reviewed, and 24 were included. RESULTS We found that irritability forms a distinct dimension with substantial stability across time, and that it is specifically associated with depression and anxiety in longitudinal studies. Evidence from genetic studies reveals that irritability is moderately heritable, and its overlap with depression is explained mainly by genetic factors. Behavioral and neuroimaging studies show that youth with persistent irritability exhibit altered activations in the amygdala, striatum, and frontal regions compared with age-matched healthy volunteers. Most knowledge about the treatment of irritability is based on effects of treatment on related conditions or post hoc analyses of trial data. CONCLUSION We identify a number of research priorities including innovative experimental designs and priorities for treatment studies, and conclude with recommendations for the assessment of irritability for researchers and clinicians.
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Affiliation(s)
- Pablo Vidal-Ribas
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Melissa A Brotman
- Section on Bipolar Spectrum Disorders, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Isabel Valdivieso
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Ellen Leibenluft
- Section on Bipolar Spectrum Disorders, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Argyris Stringaris
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
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44
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Adleman NE, Chen G, Reynolds RC, Frackman A, Razdan V, Weissman DH, Pine DS, Leibenluft E. Age-related differences in the neural correlates of trial-to-trial variations of reaction time. Dev Cogn Neurosci 2016; 19:248-57. [PMID: 27239972 PMCID: PMC5099497 DOI: 10.1016/j.dcn.2016.05.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 05/06/2016] [Accepted: 05/08/2016] [Indexed: 12/31/2022] Open
Abstract
Intra-subject variation in reaction time (ISVRT) is a developmentally-important phenomenon that decreases from childhood through young adulthood in parallel with the development of executive functions and networks. Prior work has shown a significant association between trial-by-trial variations in reaction time (RT) and trial-by-trial variations in brain activity as measured by the blood-oxygenated level-dependent (BOLD) response in functional magnetic resonance imaging (fMRI) studies. It remains unclear, however, whether such "RT-BOLD" relationships vary with age. Here, we determined whether such trial-by-trial relationships vary with age in a cross-sectional design. We observed an association between age and RT-BOLD relationships in 11 clusters located in visual/occipital regions, frontal and parietal association cortex, precentral/postcentral gyrus, and thalamus. Some of these relationships were negative, reflecting increased BOLD associated with decreased RT, manifesting around the time of stimulus presentation and positive several seconds later. Critically for present purposes, all RT-BOLD relationships increased with age. Thus, RT-BOLD relationships may reflect robust, measurable changes in the brain-behavior relationship across development.
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Affiliation(s)
- Nancy E Adleman
- Department of Psychology, The Catholic University of America, 620 Michigan Ave., NE, Washington, DC 20064, USA; Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Gang Chen
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Richard C Reynolds
- Scientific and Statistical Computing Core, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Anna Frackman
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Varun Razdan
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Daniel H Weissman
- Department of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI 48109, USA.
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, 9000 Rockville Pike, Bethesda, MD 20892, USA.
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45
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Freeman AJ, Youngstrom EA, Youngstrom JK, Findling RL. Disruptive Mood Dysregulation Disorder in a Community Mental Health Clinic: Prevalence, Comorbidity and Correlates. J Child Adolesc Psychopharmacol 2016; 26:123-30. [PMID: 26745325 PMCID: PMC4800380 DOI: 10.1089/cap.2015.0061] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
OBJECTIVE The revision of the Diagnostic and Statistical Manual of Mental Disorders, 5th ed. (DSM-5) added a new diagnosis of disruptive mood dysregulation disorder (DMDD) to depressive disorders. This study examines the prevalence, comorbidity, and correlates of the new disorder, with a particular focus on its overlap with oppositional defiant disorder (ODD), with which DMDD shares core symptoms. METHODS Data were obtained from 597 youth 6-18 years of age who participated in a systematic assessment of symptoms offered to all intakes at a community mental health center (sample accrued from July 2003 to March 2008). Assessment included diagnostic, symptomatic, and functional measures. DMDD was diagnosed using a post-hoc definition from item-level ratings on the Schedule for Affective Disorders and Schizophrenia for School-Age Children that closely matches the DSM-5 definition. Caregivers rated youth on the Child Behavior Checklist. RESULTS Approximately 31% of youth met the operational definition of DMDD, and 40% had Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV) diagnoses of ODD. Youth with DMDD almost always had ODD (odds ratio [OR] = 53.84) and displayed higher rates of comorbidity with attention-deficit/hyperactivity disorder (ADHD) and conduct disorder than youth without DMDD. Caregivers of youth with DMDD reported more symptoms of aggressive behavior, rule-breaking, social problems, anxiety/depression, attention problems, and thought problems than all other youth without DMDD. Compared with youth with ODD, youth with DMDD were not significantly different in terms of categorical or dimensional approaches to comorbidity and impairment. CONCLUSIONS The new diagnosis of DMDD might be common in community mental health clinics. Youth with DMDD displayed more severe symptoms and poorer functioning than youth without DMDD. However, DMDD almost entirely overlaps with ODD and youth with DMDD were not significantly different than youth with ODD. These findings raise concerns about the potentially confusing effects of using DMDD in clinical settings, particularly given that DSM-5 groups DMDD with depressive disorders, but ODD remains a disruptive behavior disorder, potentially changing the decision-making framework that clinicians use to select treatments.
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Affiliation(s)
| | - Eric A. Youngstrom
- Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jennifer K. Youngstrom
- Department of Psychology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Robert L Findling
- Bloomberg Children's Center, Division of Child and Adolescent Psychiatry, Johns Hopkins University, Baltimore, Maryland
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46
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Najt P, Wang F, Spencer L, Johnston JAY, Cox Lippard ET, Pittman BP, Lacadie C, Staib LH, Papademetris X, Blumberg HP. Anterior Cortical Development During Adolescence in Bipolar Disorder. Biol Psychiatry 2016; 79:303-10. [PMID: 26033826 PMCID: PMC4595154 DOI: 10.1016/j.biopsych.2015.03.026] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Revised: 03/25/2015] [Accepted: 03/29/2015] [Indexed: 12/23/2022]
Abstract
BACKGROUND Increasing evidence supports a neurodevelopmental model for bipolar disorder (BD), with adolescence as a critical period in its development. Developmental abnormalities of anterior paralimbic and heteromodal frontal cortices, key structures in emotional regulation processes and central in BD, are implicated. However, few longitudinal studies have been conducted, limiting understanding of trajectory alterations in BD. In this study, we performed longitudinal neuroimaging of adolescents with and without BD and assessed volume changes over time, including changes in tissue overall and within gray and white matter. Larger decreases over time in anterior cortical volumes in the adolescents with BD were hypothesized. Gray matter decreases and white matter increases are typically observed during adolescence in anterior cortices. It was hypothesized that volume decreases over time in BD would reflect alterations in those processes, showing larger gray matter contraction and decreased white matter expansion. METHODS Two high-resolution magnetic resonance imaging scans were obtained approximately 2 years apart for 35 adolescents with bipolar I disorder (BDI) and 37 healthy adolescents. Differences over time between groups were investigated for volume overall and specifically for gray and white matter. RESULTS Relative to healthy adolescents, adolescents with BDI showed greater volume contraction over time in a region including insula and orbitofrontal, rostral, and dorsolateral prefrontal cortices (p < .05, corrected), including greater gray matter contraction and decreased white matter expansion over time, in the BD compared with the healthy group. CONCLUSIONS The findings support neurodevelopmental abnormalities during adolescence in BDI in anterior cortices, including altered developmental trajectories of anterior gray and white matter.
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Affiliation(s)
- Pablo Najt
- Departments of Psychiatry, New Haven, Connecticut
| | - Fei Wang
- Departments of Psychiatry, New Haven, Connecticut
| | | | | | | | | | | | - Lawrence H Staib
- Diagnostic Radiology, New Haven, Connecticut.; Electrical Engineering, New Haven, Connecticut
| | - Xenophon Papademetris
- Diagnostic Radiology, New Haven, Connecticut.; Biomedical Engineering, New Haven, Connecticut
| | - Hilary P Blumberg
- Departments of Psychiatry, New Haven, Connecticut.; Diagnostic Radiology, New Haven, Connecticut.; Child Study Center, Yale School of Medicine, New Haven, Connecticut..
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47
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Ou X, Andres A, Pivik RT, Cleves MA, Snow JH, Ding Z, Badger TM. Voxel-Based Morphometry and fMRI Revealed Differences in Brain Gray Matter in Breastfed and Milk Formula-Fed Children. AJNR Am J Neuroradiol 2015; 37:713-9. [PMID: 26585259 DOI: 10.3174/ajnr.a4593] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 09/10/2015] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND PURPOSE Infant diets may have significant impact on brain development in children. The aim of this study was to evaluate brain gray matter structure and function in 8-year-old children who were predominantly breastfed or fed cow's milk formula as infants. MATERIALS AND METHODS Forty-two healthy children (breastfed: n = 22, 10 boys and 12 girls; cow's milk formula: n = 20, 10 boys and 10 girls) were studied by using structural MR imaging (3D T1-weighted imaging) and blood oxygen level-dependent fMRI (while performing tasks involving visual perception and language functions). They were also administered standardized tests evaluating intelligence (Reynolds Intellectual Assessment Scales) and language skills (Clinical Evaluation of Language Fundamentals). RESULTS Total brain gray matter volume did not differ between the breastfed and cow's milk formula groups. However, breastfed children had significantly higher (P < .05, corrected) regional gray matter volume measured by voxel-based morphometry in the left inferior temporal lobe and left superior parietal lobe compared with cow's milk formula-fed children. Breastfed children showed significantly more brain activation in the right frontal and left/right temporal lobes on fMRI when processing the perception task and in the left temporal/occipital lobe when processing the visual language task than cow's milk formula-fed children. The imaging findings were associated with significantly better performance for breastfed than cow's milk formula-fed children on both tasks. CONCLUSIONS Our findings indicated greater regional gray matter development and better regional gray matter function in breastfed than cow's milk formula-fed children at 8 years of age and suggested that infant diets may have long-term influences on brain development in children.
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Affiliation(s)
- X Ou
- From the Arkansas Children's Nutrition Center (X.O., A.A., R.T.P., M.A.C., T.M.B.) Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.) Radiology (X.O.), University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - A Andres
- From the Arkansas Children's Nutrition Center (X.O., A.A., R.T.P., M.A.C., T.M.B.) Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.)
| | - R T Pivik
- Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.)
| | - M A Cleves
- From the Arkansas Children's Nutrition Center (X.O., A.A., R.T.P., M.A.C., T.M.B.) Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.)
| | - J H Snow
- Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.)
| | - Z Ding
- Vanderbilt University Institute of Imaging Sciences (Z.D.), Nashville, Tennessee
| | - T M Badger
- From the Arkansas Children's Nutrition Center (X.O., A.A., R.T.P., M.A.C., T.M.B.) Departments of Pediatrics (X.O., A.A., R.T.P., M.A.C., J.H.S., T.M.B.)
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48
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Strawn JR, Hamm L, Fitzgerald DA, Fitzgerald KD, Monk CS, Phan KL. Neurostructural abnormalities in pediatric anxiety disorders. J Anxiety Disord 2015; 32:81-8. [PMID: 25890287 PMCID: PMC4439332 DOI: 10.1016/j.janxdis.2015.03.004] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Revised: 02/01/2015] [Accepted: 03/09/2015] [Indexed: 01/14/2023]
Abstract
Functional neuroimaging studies have consistently demonstrated abnormalities in fear and threat processing systems in youth with anxiety disorders; however, the structural neuroanatomy of these systems in children and adolescents remains largely unknown. Using voxel-based morphometry (VBM), gray matter volumes were compared between 38 medication-free patients with anxiety disorders (generalized anxiety disorder; social phobia; separation anxiety disorder, mean age: 14.4±3 years) and 27 comparison subjects (mean age: 14.8±4 years). Compared to healthy subjects, youth with anxiety disorders had larger gray matter volumes in the dorsal anterior cingulate and had decreased gray matter volumes in the inferior frontal gyrus (ventrolateral prefrontal cortex), postcentral gyrus, and cuneus/precuneus. These data suggest the presence of structural differences in regions previously implicated in the processing and regulation of fear in pediatric patients with anxiety disorders.
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Affiliation(s)
- Jeffrey R. Strawn
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, Cincinnati, Ohio,Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, Division of Child & Adolescent Psychiatry, Cincinnati, Ohio
| | - Lisa Hamm
- Department of Psychiatry, University of Illinois at Chicago
| | | | | | | | - K. Luan Phan
- Department of Psychiatry, University of Illinois at Chicago,Mental Health Service Line, Jesse Brown VA Medical Center, Chicago, Illinois
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Wehry AM, McNamara RK, Adler CM, Eliassen JC, Croarkin P, Cerullo MA, DelBello MP, Strawn JR. Neurostructural impact of co-occurring anxiety in pediatric patients with major depressive disorder: a voxel-based morphometry study. J Affect Disord 2015; 171:54-9. [PMID: 25285899 DOI: 10.1016/j.jad.2014.09.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 09/02/2014] [Indexed: 12/21/2022]
Abstract
BACKGROUND Depressive and anxiety disorders are among the most frequently occurring psychiatric conditions in children and adolescents and commonly present occur together. Co-occurring depression and anxiety is associated with increased functional impairment and suicidality compared to depression alone. Despite this, little is known regarding the neurostructural differences between anxiety disorders and major depressive disorder (MDD). Moreover, the neurophysiologic impact of the presence of anxiety in adolescents with MDD is unknown. METHODS Using voxel-based morphometry, gray matter volumes were compared among adolescents with MDD (and no co-morbid anxiety disorders, n=14), adolescents with MDD and co-morbid anxiety ("anxious depression," n=12), and healthy comparison subjects (n=41). RESULTS Patients with anxious depression exhibited decreased gray matter volumes in the dorsolateral prefrontal cortex (DLPFC) compared to patients with MDD alone. Compared to healthy subjects, adolescents with anxious depression had increased gray matter volumes in the pre- and post-central gyri. LIMITATIONS The current sample size was small and precluded an analysis of multiple covariates which may influence GMV. CONCLUSIONS Gray matter deficits in the DLPFC in youth with anxious depression compared to patients with MDD and no co-occurring anxiety may reflect the more severe psychopathology in these patients. Additionally, the distinct gray matter fingerprints of MDD and anxious depression (compared to healthy subjects) suggest differing neurophysiologic substrates for these conditions, though the etiology and longitudinal trajectory of the differences remain to be determined.
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Affiliation(s)
- Anna M Wehry
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA.
| | - Robert K McNamara
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA
| | - Caleb M Adler
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA; Center for Imaging Research, University of Cincinnati, College of Medicine, Cincinnati, OH, USA
| | - James C Eliassen
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA; Center for Imaging Research, University of Cincinnati, College of Medicine, Cincinnati, OH, USA
| | - Paul Croarkin
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Michael A Cerullo
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA
| | - Melissa P DelBello
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA
| | - Jeffrey R Strawn
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, College of Medicine, 260 Stetson Street, Suite 3200, ML 0559, Cincinnati, OH 45267-0559, USA
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50
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Serafini G, Pompili M, Borgwardt S, Houenou J, Geoffroy PA, Jardri R, Girardi P, Amore M. Brain changes in early-onset bipolar and unipolar depressive disorders: a systematic review in children and adolescents. Eur Child Adolesc Psychiatry 2014; 23:1023-41. [PMID: 25212880 DOI: 10.1007/s00787-014-0614-z] [Citation(s) in RCA: 76] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Accepted: 08/29/2014] [Indexed: 01/09/2023]
Abstract
Pediatric bipolar disorder (BD) and unipolar disorder (UD) share common symptomatic and functional impairments. Various brain imaging techniques have been used to investigate the integrity of brain white matter (WM) and gray matter (GM) in these disorders. Despite promising preliminary findings, it is still unclear whether these alterations may be considered as common trait markers or may be used to distinguish BD from UD. A systematic literature search of studies between 1980 and September 2013 which reported WM/GM changes in pediatric and adolescent BD/UD, as detected by diffusion tensor imaging and voxel-based analysis was conducted. Of the 34 articles judged as eligible, 17 fulfilled our inclusion criteria and were finally retained in this review. More abnormalities have been documented in the brains of children and adolescents with BD than UD. Reductions in the volume of basal ganglia and the hippocampus appeared more specific for pediatric UD, whereas reduced corpus callosum volume and increased rates of deep WM hyperintensities were more specific for pediatric BD. Seminal papers failed to address the possibility that the differences between unipolar and bipolar samples might be related to illness severity, medication status, comorbidity or diagnosis. UD and BD present both shared and distinctive impairments in the WM and GM compartments. More WM abnormalities have been reported in children and adolescents with bipolar disease than in those with unipolar disease, maybe as a result of a low number of DTI studies in pediatric UD. Future longitudinal studies should investigate whether neurodevelopmental changes are diagnosis-specific.
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Affiliation(s)
- Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, IRCCS San Martino, Largo Rosanna Benzi 10, 16100, Genoa, Italy,
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