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Agapoff JA, van Schalkwyk G. A Dimensional Approach to Emotional Lability in Youth. J Am Acad Child Adolesc Psychiatry 2024; 63:487-489. [PMID: 37499861 DOI: 10.1016/j.jaac.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 07/12/2023] [Accepted: 07/18/2023] [Indexed: 07/29/2023]
Abstract
Emotional lability (EL) is a common symptom dimension in youth. It manifests in the context of a number of psychiatric illnesses and is a promising transdiagnostic construct that is recognizable and treatable and warrants further study. Multiple terms and assessment tools exist to define and measure EL, and it has a phenomenology distinct from the related construct of irritability. This clinical perspective reviews the neurobiological and clinical evidence in support of EL as an important symptom dimension that responds to a variety of behavioral and medication interventions and highlights the significant limitations of this approach.
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Affiliation(s)
| | - Gerrit van Schalkwyk
- Intermountain Health, Salt Lake City, Utah, and University of Alberta, Edmonton, Canada
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2
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Agapoff JA, Chong Z, Meek M, van Schalkwyk GI. Pharmacologic and Non-Pharmacologic Interventions for Emotional Lability: A Meta-Analysis. Neurosci Biobehav Rev 2023; 149:105184. [PMID: 37085024 DOI: 10.1016/j.neubiorev.2023.105184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 04/13/2023] [Accepted: 04/16/2023] [Indexed: 04/23/2023]
Abstract
Emotional Lability (EL) is a common symptom dimension in a variety of psychiatric disorders. However, as it is not typically a diagnosis in its own right, it lacks a consistently applied clinical definition and treatment approach. Therefore, in this review we performed a meta-analysis to determine the effect size for treatments of EL across diagnostic categories. We then conducted subgroup analyses to compare effect sizes for pharmacologic (MED) and behavioral (BEH) treatments, according to underlying diagnosis, and according to medication class. We found that pharmacologic and non-pharmacologic treatments are effective for EL, and that the effect sizes were similar - a finding with implications for clinical practice. Our finding also supports future research which approaches EL as an important construct independent of underlying diagnosis.
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Affiliation(s)
- Jame A Agapoff
- Assistant Clinical Professor of Psychiatry, John A Burns School of Medicine, University of Hawai'i, 1356 Lusitana St. 4(th) Fl, Honolulu, HI, 96813.
| | - Zhang Chong
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Health Sciences, Salt Lake City, UT 84113.
| | - Matthew Meek
- Department of Pediatrics, University of Utah, and Intermountain Healthcare. Mario Capecchi Dr., Salt Lake City, UT 84113.
| | - Gerrit I van Schalkwyk
- Department of Pediatrics, University of Utah, and Intermountain Healthcare. Mario Capecchi Dr., Salt Lake City, UT 84113.
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3
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Hindley G, O'Connell KS, Rahman Z, Frei O, Bahrami S, Shadrin A, Høegh MC, Cheng W, Karadag N, Lin A, Rødevand L, Fan CC, Djurovic S, Lagerberg TV, Dale AM, Smeland OB, Andreassen OA. The shared genetic basis of mood instability and psychiatric disorders: A cross-trait genome-wide association analysis. Am J Med Genet B Neuropsychiatr Genet 2022; 189:207-218. [PMID: 35841185 PMCID: PMC9541703 DOI: 10.1002/ajmg.b.32907] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/12/2022] [Accepted: 05/28/2022] [Indexed: 12/30/2022]
Abstract
Recent genome-wide association studies of mood instability (MOOD) have found significant positive genetic correlation with major depression (DEP) and weak correlations with other psychiatric disorders. We investigated the polygenic overlap between MOOD and psychiatric disorders beyond genetic correlation to better characterize putative shared genetic determinants. GWAS summary statistics for schizophrenia (SCZ, n = 105,318), bipolar disorder (BIP, n = 413,466), DEP (n = 450,619), attention-deficit hyperactivity disorder (ADHD, n = 53,293), and MOOD (n = 363,705) were analyzed using the bivariate causal mixture model and conjunctional false discovery rate methods. MOOD correlated positively with all psychiatric disorders, but with wide variation in strength (rg = 0.10-0.62). Of 10.4 K genomic variants influencing MOOD, 4 K-9.4 K influenced psychiatric disorders. Furthermore, MOOD was jointly associated with DEP at 163 loci, SCZ at 110, BIP at 60 and ADHD at 25. Fifty-three jointly associated loci were overlapping across two or more disorders, seven of which had discordant effect directions on psychiatric disorders. Genes mapped to loci associated with MOOD and all four disorders were enriched in a single gene-set, "synapse organization." The extensive polygenic overlap indicates shared molecular underpinnings across MOOD and psychiatric disorders. However, distinct patterns of genetic correlation and effect directions may relate to differences in the core clinical features of each disorder.
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Affiliation(s)
- Guy Hindley
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Psychosis Studies, Institute of Psychiatry, Psychology and Neurosciences, King's College London, London, UK
| | - Kevin S O'Connell
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Zillur Rahman
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Alexey Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Margrethe C Høegh
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Weiqiu Cheng
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Naz Karadag
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Aihua Lin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Linn Rødevand
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Chun C Fan
- Department of Radiology, University of California San Diego, La Jolla, California, USA.,Multimodal Imaging Laboratory, University of California San Diego, La Jolla, California, USA.,Department of Cognitive Science, University of California San Diego, La Jolla, California, USA
| | - Srdjan Djurovic
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway.,NORMENT Centre, Department of Clinical Science, University of Bergen, Bergen, Norway.,KG Jebsen Centre for Neurodevelopmental disorders, University of Oslo, Oslo, Norway
| | - Trine V Lagerberg
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, California, USA.,Multimodal Imaging Laboratory, University of California San Diego, La Jolla, California, USA.,Department of Psychiatry, University of California San Diego, La Jolla, California, USA.,Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Olav B Smeland
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,KG Jebsen Centre for Neurodevelopmental disorders, University of Oslo, Oslo, Norway
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4
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Xia CH, Barnett I, Tapera TM, Adebimpe A, Baker JT, Bassett DS, Brotman MA, Calkins ME, Cui Z, Leibenluft E, Linguiti S, Lydon-Staley DM, Martin ML, Moore TM, Murtha K, Piiwaa K, Pines A, Roalf DR, Rush-Goebel S, Wolf DH, Ungar LH, Satterthwaite TD. Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology 2022; 47:1662-1671. [PMID: 35660803 PMCID: PMC9163291 DOI: 10.1038/s41386-022-01351-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 05/18/2022] [Accepted: 05/23/2022] [Indexed: 11/09/2022]
Abstract
Mapping individual differences in behavior is fundamental to personalized neuroscience, but quantifying complex behavior in real world settings remains a challenge. While mobility patterns captured by smartphones have increasingly been linked to a range of psychiatric symptoms, existing research has not specifically examined whether individuals have person-specific mobility patterns. We collected over 3000 days of mobility data from a sample of 41 adolescents and young adults (age 17-30 years, 28 female) with affective instability. We extracted summary mobility metrics from GPS and accelerometer data and used their covariance structures to identify individuals and calculated the individual identification accuracy-i.e., their "footprint distinctiveness". We found that statistical patterns of smartphone-based mobility features represented unique "footprints" that allow individual identification (p < 0.001). Critically, mobility footprints exhibited varying levels of person-specific distinctiveness (4-99%), which was associated with age and sex. Furthermore, reduced individual footprint distinctiveness was associated with instability in affect (p < 0.05) and circadian patterns (p < 0.05) as measured by environmental momentary assessment. Finally, brain functional connectivity, especially those in the somatomotor network, was linked to individual differences in mobility patterns (p < 0.05). Together, these results suggest that real-world mobility patterns may provide individual-specific signatures relevant for studies of development, sleep, and psychopathology.
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Affiliation(s)
- Cedric Huchuan Xia
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ian Barnett
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tinashe M Tapera
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Azeez Adebimpe
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Justin T Baker
- McLean Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, 02478, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
| | - Danielle S Bassett
- Penn Lifespan Informatics and Neuroimaging Center, 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 Physics and Astronomy, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Electrical & Systems Engineering, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Santa Fe Institute, Santa Fe, NM, 87501, USA
| | - Melissa A Brotman
- National Institute of Mental Health, Intramural Research Program, Bethesda, MD, 20892, USA
| | - Monica E Calkins
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Zaixu Cui
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Ellen Leibenluft
- National Institute of Mental Health, Intramural Research Program, Bethesda, MD, 20892, USA
| | - Sophia Linguiti
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David M Lydon-Staley
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Annenberg School of Communication, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Leonard Davis Institute for Health Economics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Melissa Lynne Martin
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Tyler M Moore
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kristin Murtha
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kayla Piiwaa
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Adam Pines
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - David R Roalf
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Sage Rush-Goebel
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Daniel H Wolf
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Lyle H Ungar
- Department of Computer and Information Science, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.,Department of Operations, Information and Decisions, Wharton School, Philadelphia, PA, 19104, USA.,Department of Psychology, School of Arts and Sciences, Philadelphia, PA, 19104, USA
| | - Theodore D Satterthwaite
- Penn Lifespan Informatics and Neuroimaging Center, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Center for Biomedical Image Computation and Analytics, University of Pennsylvania, Philadelphia, PA, 19104, USA. .,Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Li H. Affective Instability, Depression, and Anxiety Symptoms in a Community Sample of Pregnant and Postpartum Women: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063171. [PMID: 35328868 PMCID: PMC8951286 DOI: 10.3390/ijerph19063171] [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] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/18/2022] [Accepted: 02/24/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Although perinatal women experience an elevated level of affective instability (AI), limited research has been conducted to examine perinatal AI and its relation to depression and anxiety. The current study investigated correlations between AI and depression, between AI and anxiety during the perinatal period, and between current depression and anxiety and the latent factors of the Affective Lability Scale-18 (ALS-18). METHODS 202 Canadian perinatal women participated in this cross-sectional study. The ALS-18 was used to assess AI, while the Depression, Anxiety, and Stress Scale-21 measured depression, anxiety, and stress. Multiple logistic regression was performed to investigate the relationship between AI and depression and anxiety, and multiple linear regression was conducted to examine the association between current depression and anxiety and the three latent factors of ALS-18. RESULTS The findings revealed a significant association between AI and depression and between AI and anxiety. Current depression and anxiety were correlated with ALS-18 factors of depression/anxiety shift and depression/elation shift, while current depression was linked to ALS-18 factor of anger. CONCLUSIONS The study findings have important implications for early detection and intervention of maternal anxiety and depression. In order to improve maternal mental health, AI should be included in routine perinatal check-ups.
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Affiliation(s)
- Hua Li
- College of Nursing, University of Saskatchewan, Health Sciences Building, E-Wing, Room 4248, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada
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Gajwani R, Wilson N, Nelson R, Gumley A, Smith M, Minnis H. Recruiting and exploring vulnerabilities among young people at risk, or in the early stages of serious mental illness (borderline personality disorder and first episode psychosis). Front Psychiatry 2022; 13:943509. [PMID: 35990053 PMCID: PMC9386049 DOI: 10.3389/fpsyt.2022.943509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/19/2022] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Many gaps exist in our understanding of the developmental pathways to severe mental illness (SMI), including borderline personality disorder (BPD) and psychosis. However, those who have experienced adverse childhood experiences (ACEs) are at an increased risk and there is evidence to suggest that one of the earliest markers is emotional dysregulation. An area which has received relatively less research attention is the role neurodevelopmental disorders (NDDs) play. The aim of this feasibility study was therefore to explore the clinical profiles of young people early in the course of SMI, including their profiles of ACEs, emotional regulation difficulties, borderline personality traits and NDDs. METHODS A cross-sectional study of young people (aged 15-25) at risk of SMI, currently being seen within NHS mental health services, was conducted. This included those with early symptoms of psychosis and/or BPD as assessed by diagnostic interview. Eligible participants self-completed a battery of sociodemographic, clinical, and psychological measures in the company of a researcher. This included assessments of: symptoms of NDDs; borderline pathology traits; ACEs; and difficulties in emotional regulation. Statistical analyses included Mann-Whitney U tests and multiple regression. RESULTS Of the 118 potentially eligible participants who were referred, 48 were ultimately included in the study. Young people early in the course of SMI reported a high prevalence of ACEs and deficits in emotional regulation. In total, 79% met criteria for attention deficit hyperactivity disorder (ADHD) and/or autism spectrum disorder (ASD). Emotional dysregulation was found to significantly mediate the association between both ACEs and the frequency of NDDs and borderline personality traits, however given the small sample size these results are preliminary in nature. CONCLUSION Young people early in the course of SMI are at an increased risk of experiencing multiple childhood adversities and our results indicate a high prevalence of NDDs amongst them. Emotional dysregulation emerged as a potentially significant early marker of future clinical severity. We suggest that the clinical implications of our findings include routine screening for NDDs and ACEs and an increased recognition of the significance of emotional dysregulation. However, larger scale longitudinal studies are needed to investigate these preliminary findings further.
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Affiliation(s)
- Ruchika Gajwani
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Naomi Wilson
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Rebecca Nelson
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom
| | - Andrew Gumley
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Michael Smith
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
| | - Helen Minnis
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, United Kingdom.,NHS Greater Glasgow and Clyde, Glasgow, United Kingdom
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Høegh MC, Melle I, Aminoff SR, Haatveit B, Olsen SH, Huflåtten IB, Ueland T, Lagerberg TV. Characterization of affective lability across subgroups of psychosis spectrum disorders. Int J Bipolar Disord 2021; 9:34. [PMID: 34734342 PMCID: PMC8566621 DOI: 10.1186/s40345-021-00238-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/15/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Affective lability is elevated and associated with increased clinical burden in psychosis spectrum disorders. The extent to which the level, structure and dispersion of affective lability varies between the specific disorders included in the psychosis spectrum is however unclear. To have potential value as a treatment target, further characterization of affective lability in these populations is necessary. The main aim of our study was to investigate differences in the architecture of affective lability in different psychosis spectrum disorders, and if putative differences remained when we controlled for current symptom status. METHODS Affective lability was measured with The Affective Lability Scale Short Form (ALS-SF) in participants with schizophrenia (SZ, n = 76), bipolar I disorder (BD-I, n = 105), bipolar II disorder (BD-II, n = 68) and a mixed psychosis-affective group (MP, n = 48). Multiple analyses of covariance were conducted to compare the ALS-SF total and subdimension scores of the diagnostic groups, correcting for current psychotic, affective and anxiety symptoms, substance use and sex. Double generalized linear models were performed to compare the dispersion of affective lability in the different groups. RESULTS Overall group differences in affective lability remained significant after adjusting for covariates (p = .001). BD-II had higher affective lability compared to SZ and BD-I (p = .004), with no significant differences between SZ and BD-I. There were no significant differences in the contributions of ALS-SF dimensions to the total affective lability or in dispersion of affective lability between the groups. CONCLUSIONS This study provides the construct of affective lability in psychosis spectrum disorders with more granular details that may have implications for research and clinical care. It demonstrates that despite overlap in core symptom profiles, BD-I is more similar to SZ than it is to BD-II concerning affective lability and the BD groups should consequently be studied apart. Further, affective lability appears to be characterized by fluctuations between depressive- and other affective states across different psychosis spectrum disorders, indicating that affective lability may be related to internalizing problems in these disorders. Finally, although the level varies between groups, affective lability is evenly spread and not driven by extremes across psychosis spectrum disorders and should be assessed irrespective of diagnosis.
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Affiliation(s)
- Margrethe Collier Høegh
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway.
| | - Ingrid Melle
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway
| | - Sofie R Aminoff
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Beathe Haatveit
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway
| | - Stine Holmstul Olsen
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway
| | - Idun B Huflåtten
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway
| | - Torill Ueland
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway.,Department of Psychology, University of Oslo, Oslo, Norway
| | - Trine Vik Lagerberg
- CoE NORMENT, Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Building 49, Ullevål sykehus, Nydalen, PO Box 4956, 0424, Oslo, Norway
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Bart CP, Titone MK, Ng TH, Nusslock R, Alloy LB. Neural reward circuit dysfunction as a risk factor for bipolar spectrum disorders and substance use disorders: A review and integration. Clin Psychol Rev 2021; 87:102035. [PMID: 34020138 DOI: 10.1016/j.cpr.2021.102035] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 03/13/2021] [Accepted: 04/28/2021] [Indexed: 01/08/2023]
Abstract
Bipolar spectrum disorders (BSDs) and substance use disorders (SUDs) are associated with neural reward dysfunction. However, it is unclear what pattern of neural reward function underlies pre-existing vulnerability to BSDs and SUDs, or whether neural reward function explains their high co-occurrence. The current paper provides an overview of the separate literatures on neural reward sensitivity in BSDs and SUDs. We provide a systematic review of 35 studies relevant to identifying neural reward function vulnerability to BSDs and SUDs. These studies include those examining neural reward processing on a monetary reward task with prospective designs predicting initial onset of SUDs, familial risk studies that examine unaffected offspring or first-degree relatives of family members with BSDs or SUDs, and studies that examine individuals with BSDs or SUDs who are not currently in an episode of the disorder. Findings from the review highlight that aberrant responding and connectivity across neural regions associated with reward and cognitive control confers risk for the development of BSDs and SUDs. Discussion focuses on limitations of the extant literature. We conclude with an integration and theoretical model for understanding how aberrant neural reward responding may constitute a vulnerability to the development of both BSDs and SUDs.
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Affiliation(s)
- Corinne P Bart
- Department of Psychology, Temple University, Philadelphia, PA, United States of America
| | - Madison K Titone
- Department of Psychology, Temple University, Philadelphia, PA, United States of America
| | - Tommy H Ng
- Department of Psychology, Temple University, Philadelphia, PA, United States of America
| | - Robin Nusslock
- Department of Psychology, Northwestern University, Evanston, IL, United States of America
| | - Lauren B Alloy
- Department of Psychology, Temple University, Philadelphia, PA, United States of America.
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Yalvaç EBK, Gaynor K. Emotional dysregulation in adults: The influence of rumination and negative secondary appraisals of emotion. J Affect Disord 2021; 282:656-661. [PMID: 33445088 DOI: 10.1016/j.jad.2020.12.194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 11/30/2020] [Accepted: 12/26/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Emotional dysregulation is commonly discussed as a transdiagnostic factor in clinical populations. The present study aims to investigate cognitive factors (rumination and negative appraisals of emotion) in the maintenance of emotional dysregulation in a normative sample in order to partially validate a cognitive model of emotional dysregulation and to examine the potential clinical relevance of addressing cognitive factors in the treatment of emotional dysregulation. METHODS People who were 18 or older were asked to participate via a university research system and social media. Participants (N = 216) were asked to fill out online surveys regarding emotional dysregulation, rumination and negative secondary appraisals of emotion. RESULTS People who had higher emotional dysregulation levels displayed a greater tendency to ruminate and were more prone to negative secondary appraisals of emotion. There was a positive association between rumination and negative secondary appraisals of emotion, and this association was mediated by emotional dysregulation. LIMITATIONS The present study was solely based on self-report measurements and the collected data were cross-sectional. CONCLUSIONS The present study showed that a wide spectrum of experiences of emotional dysregulation occurred in a normative sample. The significant mediation highlighted the maintaining role of rumination and negative appraisals in emotional dysregulation. These data highlight the importance of addressing cognitive factors in emotional dysregulation.
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Affiliation(s)
| | - Keith Gaynor
- School of Psychology, University College Dublin, Ireland.
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10
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Paret C, Niedtfeld I, Lotter T, Wunder A, Grimm S, Mennes M, Okell T, Beckmann C, Schmahl C. Single-Dose Effects of Citalopram on Neural Responses to Affective Stimuli in Borderline Personality Disorder: A Randomized Clinical Trial. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:837-845. [PMID: 33607327 DOI: 10.1016/j.bpsc.2021.02.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/22/2021] [Accepted: 02/05/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Psychiatric medication that has a soothing effect on limbic responses to affective stimuli could improve affective instability symptoms as observed in borderline personality disorder (BPD). The objective of this study was to investigate whether citalopram versus placebo reduces the response of the affective neural circuitry during an emotional challenge. METHODS A total of 30 female individuals with a BPD diagnosis participated in a placebo-controlled, double-blind crossover trial design. Three hours after oral drug intake, individuals with BPD viewed affective pictures while undergoing functional magnetic resonance imaging. Blood oxygen level-dependent responses to images of negative affective scenes and faces showing negative emotional expressions were assessed in regions of interest (amygdala, anterior cingulate cortex, anterior insula, dorsolateral prefrontal cortex). Blood perfusion at rest was assessed with arterial spin labeling. RESULTS The neural response to pictures showing negative affective scenes was not significantly affected by citalopram (n = 23). Citalopram significantly reduced the amygdala response to pictures of faces with negative affective expressions (n = 25, treatment difference left hemisphere: -0.06 ± 0.16, p < .05; right hemisphere: -0.06 ± 0.17, p < .05). We observed no significant effects of citalopram on the other regions. The drug did not significantly alter blood perfusion at rest. CONCLUSIONS Citalopram can alter the amygdala response to affective stimuli in BPD, which is characterized by overly responsive affective neural circuitry.
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Affiliation(s)
- Christian Paret
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany; Sagol Brain Institute, Wohl Institute for Advanced Imaging, Tel-Aviv Sourasky Medical Center and School of Psychological Sciences, Tel-Aviv University, Israel.
| | - Inga Niedtfeld
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Tobias Lotter
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Andreas Wunder
- Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | - Simone Grimm
- MSB Medical School Berlin, Hochschule für Gesundheit und Medizin, Berlin, Germany
| | | | - Thomas Okell
- SBGneuro Ltd., Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | | | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany.
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11
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Lalousis PA, Wood SJ, Schmaal L, Chisholm K, Griffiths SL, Reniers RLEP, Bertolino A, Borgwardt S, Brambilla P, Kambeitz J, Lencer R, Pantelis C, Ruhrmann S, Salokangas RKR, Schultze-Lutter F, Bonivento C, Dwyer D, Ferro A, Haidl T, Rosen M, Schmidt A, Meisenzahl E, Koutsouleris N, Upthegrove R. Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach. Schizophr Bull 2021; 47:1130-1140. [PMID: 33543752 PMCID: PMC8266654 DOI: 10.1093/schbul/sbaa185] [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] [Indexed: 11/14/2022]
Abstract
Diagnostic heterogeneity within and across psychotic and affective disorders challenges accurate treatment selection, particularly in the early stages. Delineation of shared and distinct illness features at the phenotypic and brain levels may inform the development of more precise differential diagnostic tools. We aimed to identify prototypes of depression and psychosis to investigate their heterogeneity, with common, comorbid transdiagnostic symptoms. Analyzing clinical/neurocognitive and grey matter volume (GMV) data from the PRONIA database, we generated prototypic models of recent-onset depression (ROD) vs. recent-onset psychosis (ROP) by training support-vector machines to separate patients with ROD from patients with ROP, who were selected for absent comorbid features (pure groups). Then, models were applied to patients with comorbidity, ie, ROP with depressive symptoms (ROP+D) and ROD participants with sub-threshold psychosis-like features (ROD+P), to measure their positions within the affective-psychotic continuum. All models were independently validated in a replication sample. Comorbid patients were positioned between pure groups, with ROP+D patients being more frequently classified as ROD compared to pure ROP patients (clinical/neurocognitive model: χ2 = 14.874; P < .001; GMV model: χ2 = 4.933; P = .026). ROD+P patient classification did not differ from ROD (clinical/neurocognitive model: χ2 = 1.956; P = 0.162; GMV model: χ2 = 0.005; P = .943). Clinical/neurocognitive and neuroanatomical models demonstrated separability of prototypic depression from psychosis. The shift of comorbid patients toward the depression prototype, observed at the clinical and biological levels, suggests that psychosis with affective comorbidity aligns more strongly to depressive rather than psychotic disease processes. Future studies should assess how these quantitative measures of comorbidity predict outcomes and individual responses to stratified therapeutic interventions.
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Affiliation(s)
- Paris Alexandros Lalousis
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
- To whom correspondence should be addressed; 52 Pritchatts Road, B15 2SA, Birmingham, UK; e-mail:
| | - Stephen J Wood
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - Katharine Chisholm
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Department of Psychology, Aston University, Birmingham, UK
| | - Sian Lowri Griffiths
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Renate L E P Reniers
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
- Institute of Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Alessandro Bertolino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland
- Department of Psychiatry and Psychotherapy, Center of Brain, Behavior and Metabolism, University of Lübeck, Germany
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Neurosciences and Mental Health, IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Ludwig Maxmilians University, Munich, Germany
| | - Rebekka Lencer
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia
| | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | | | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Department of Psychology and Mental Health, Faculty of Psychology, Airlangga University, Surabaya, Indonesia
- University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Carolina Bonivento
- IRCCS “E. Medea” Scientific Institute, San Vito al Tagliamento (Pn), Italy
| | - Dominic Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig Maxmilians University, Munich, Germany
| | - Adele Ferro
- Department of Neurosciences and Mental Health, IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Theresa Haidl
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany
| | - Andre Schmidt
- Department of Psychiatry, University of Basel, Basel, Switzerland
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig Maxmilians University, Munich, Germany
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
- Early Intervention Service, Birmingham Women’s and Children’s NHS Foundation Trust, Birmingham, UK
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12
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Zhuo C, Fang T, Chen C, Chen M, Sun Y, Ma X, Li R, Tian H, Ping J. Brain imaging features in schizophrenia with co-occurring auditory verbal hallucinations and depressive symptoms-Implication for novel therapeutic strategies to alleviate the reciprocal deterioration. Brain Behav 2021; 11:e01991. [PMID: 33305913 PMCID: PMC7882177 DOI: 10.1002/brb3.1991] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Auditory verbal hallucinations (AVHs) and depressive symptoms are highly prevalent in schizophrenia, and recent progress has been made in understanding the reciprocal deterioration of both symptoms through structural and functional brain imaging studies. To date, there is limited literature on this topic. In this review, we synthesized the recent literature on the neuroimaging features of schizophrenia patients with concurrent AVHs and depressive symptoms. METHODS A literature search was conducted with the major databases using the keywords, mainly including schizophrenia, AVHs, depression, neuropsychiatric disorders, brain imaging, and magnetic resonance imaging. RESULTS The existing studies have shown that AVHs and depressive symptoms reciprocally deteriorate in patients with schizophrenia, which has challenged the conventional treatment of the disease. Interestingly, repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) therapies have emerged as two efficacious brain stimulation treatments that can normalize the brain regions associated with the symptoms, as shown through functional and structural brain imaging studies. In light of these important findings, there is an urgent need to conduct in-depth neuronal mechanistic studies to identify targets for stimulation therapy. CONCLUSIONS These new findings may elucidate the pathological mechanisms underlying schizophrenia with concurrent AVHs and depressive symptoms. Furthermore, this review has important clinical implications for developing novel therapeutic strategies to alleviate the reciprocal deterioration AVHs and depressive symptoms of schizophrenia patients.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab)Tianjin Fourth Center HospitalTianjin Medical Affiliated Tianjin Fourth Central HospitalNankai University Affiliated Tianjin Fourth Center HospitalTianjinChina
- Department of PsychiatryWenzhou Seventh People’s HospitalWenzhouChina
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity (PNGC) LaboratoryTianjin Mental Health CenterTianjin Anding HospitalNankai University Affiliated Anding HospitalTianjinChina
| | - Tao Fang
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab)Tianjin Fourth Center HospitalTianjin Medical Affiliated Tianjin Fourth Central HospitalNankai University Affiliated Tianjin Fourth Center HospitalTianjinChina
| | - Ce Chen
- Department of PsychiatryWenzhou Seventh People’s HospitalWenzhouChina
| | - Min Chen
- Department of PsychiatrySchool of Mental HealthyJining Medical UniversityJiningChina
| | - Yun Sun
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity (PNGC) LaboratoryTianjin Mental Health CenterTianjin Anding HospitalNankai University Affiliated Anding HospitalTianjinChina
| | - Xiaoyan Ma
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity (PNGC) LaboratoryTianjin Mental Health CenterTianjin Anding HospitalNankai University Affiliated Anding HospitalTianjinChina
| | - Ranli Li
- Psychiatric‐Neuroimaging‐Genetics‐Comorbidity (PNGC) LaboratoryTianjin Mental Health CenterTianjin Anding HospitalNankai University Affiliated Anding HospitalTianjinChina
| | - Hongjun Tian
- Key Laboratory of Real Time Brain Circuits Tracing of Neurology and Psychiatry (RTBNB_Lab)Tianjin Fourth Center HospitalTianjin Medical Affiliated Tianjin Fourth Central HospitalNankai University Affiliated Tianjin Fourth Center HospitalTianjinChina
| | - Jing Ping
- Department of PsychiatryWenzhou Seventh People’s HospitalWenzhouChina
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13
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Massó Rodriguez A, Hogg B, Gardoki-Souto I, Valiente-Gómez A, Trabsa A, Mosquera D, García-Estela A, Colom F, Pérez V, Padberg F, Moreno-Alcázar A, Amann BL. Clinical Features, Neuropsychology and Neuroimaging in Bipolar and Borderline Personality Disorder: A Systematic Review of Cross-Diagnostic Studies. Front Psychiatry 2021; 12:681876. [PMID: 34177664 PMCID: PMC8220090 DOI: 10.3389/fpsyt.2021.681876] [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: 03/17/2021] [Accepted: 05/14/2021] [Indexed: 12/28/2022] Open
Abstract
Background: Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) have clinically been evolving as separate disorders, though there is still debate on the nosological valence of both conditions, their interaction in terms of co-morbidity or disorder spectrum and their distinct pathophysiology. Objective: The objective of this review is to summarize evidence regarding clinical features, neuropsychological performance and neuroimaging findings from cross-diagnostic studies comparing BD and BPD, to further caracterize their complex interplay. Methods: Using PubMed, PsycINFO and TripDataBase, we conducted a systematic literature search based on PRISMA guidelines of studies published from January 1980 to September 2019 which directly compared BD and BPD. Results: A total of 28 studies comparing BD and BPD were included: 19 compared clinical features, 6 neuropsychological performance and three neuroimaging abnormalities. Depressive symptoms have an earlier onset in BPD than BD. BD patients present more mixed or manic symptoms, with BD-I differing from BPD in manic phases. BPD patients show more negative attitudes toward others and self, more conflictive interpersonal relationships, and more maladaptive regulation strategies in affective instability with separate pathways. Impulsivity seems more a trait in BPD rather than a state as in BD. Otherwise, BD and BPD overlap in depressive and anxious symptoms, dysphoria, various abnormal temperamental traits, suicidal ideation, and childhood trauma. Both disorders differ and share deficits in neuropsychological and neuroimaging findings. Conclusion: Clinical data provide evidence of overlapping features in both disorders, with most of those shared symptoms being more persistent and intense in BPD. Thus, categorical classifications should be compared to dimensional approaches in transdiagnostic studies investigating BPD features in BD regarding their respective explanatory power for individual trajectories. Systematic Review Registration: The search strategy was pre-registered in PROSPERO: CRD42018100268.
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Affiliation(s)
- Anna Massó Rodriguez
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Centro Salud Mental Infanto-Juvenil, Parc de Salut Mar, Barcelona, Spain
| | - Bridget Hogg
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- PhD Progamme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Itxaso Gardoki-Souto
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- PhD Progamme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Alicia Valiente-Gómez
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Amira Trabsa
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- PhD Progamme, Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Dolores Mosquera
- Instituto de Investigación y Tratamiento del Trauma y los Trastornos de la Personalidad (INTRA-TP) Center, A Coruña, Spain
| | - Aitana García-Estela
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Francesc Colom
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
- Departament of Basic, Evolutive and Education Psychology, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Victor Pérez
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Frank Padberg
- Department of Psychiatry and Psychotherapy, Klinikum der Universität München, Munich, Germany
| | - Ana Moreno-Alcázar
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Benedikt Lorenz Amann
- Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Centre Fòrum Research Unit, Institute of Neuropsychiatry and Addiction, Parc de Salut Mar, Barcelona, Spain
- Mental Health Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
- *Correspondence: Benedikt Lorenz Amann
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14
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Marwaha S, Briley PM, Perry A, Rankin P, DiFlorio A, Craddock N, Jones I, Broome M, Gordon-Smith K, Jones L. Explaining why childhood abuse is a risk factor for poorer clinical course in bipolar disorder: a path analysis of 923 people with bipolar I disorder. Psychol Med 2020; 50:2346-2354. [PMID: 31530330 PMCID: PMC7610181 DOI: 10.1017/s0033291719002411] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 06/19/2019] [Accepted: 08/19/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND Childhood abuse is a risk factor for poorer illness course in bipolar disorder, but the reasons why are unclear. Trait-like features such as affective instability and impulsivity could be part of the explanation. We aimed to examine whether childhood abuse was associated with clinical features of bipolar disorder, and whether associations were mediated by affective instability or impulsivity. METHODS We analysed data from 923 people with bipolar I disorder recruited by the Bipolar Disorder Research Network. Adjusted associations between childhood abuse, affective instability and impulsivity and eight clinical variables were analysed. A path analysis examined the direct and indirect links between childhood abuse and clinical features with affective instability and impulsivity as mediators. RESULTS Affective instability significantly mediated the association between childhood abuse and earlier age of onset [effect estimate (θ)/standard error (SE): 2.49], number of depressive (θ/SE: 2.08) and manic episodes/illness year (θ/SE: 1.32), anxiety disorders (θ/SE: 1.98) and rapid cycling (θ/SE: 2.25). Impulsivity significantly mediated the association between childhood abuse and manic episodes/illness year (θ/SE: 1.79), anxiety disorders (θ/SE: 1.59), rapid cycling (θ/SE: 1.809), suicidal behaviour (θ/SE: 2.12) and substance misuse (θ/SE: 3.09). Measures of path analysis fit indicated an excellent fit to the data. CONCLUSIONS Affective instability and impulsivity are likely part of the mechanism of why childhood abuse increases risk of poorer clinical course in bipolar disorder, with each showing some selectivity in pathways. They are potential novel targets for intervention to improve outcome in bipolar disorder.
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Affiliation(s)
- Steven Marwaha
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Paul M. Briley
- Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Amy Perry
- Psychological Medicine, University of Worcester, Worcester, UK
| | - Phillip Rankin
- Brighton and Sussex University Hospitals Trust, Brighton, UK
| | - Arianna DiFlorio
- National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Nick Craddock
- National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Ian Jones
- National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Matthew Broome
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | | | - Lisa Jones
- Psychological Medicine, University of Worcester, Worcester, UK
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15
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Miller SM. Fluctuations of consciousness, mood, and science: The interhemispheric switch and sticky switch models two decades on. J Comp Neurol 2020; 528:3171-3197. [DOI: 10.1002/cne.24943] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 12/13/2022]
Affiliation(s)
- Steven M. Miller
- Perceptual and Clinical Neuroscience Laboratory, Department of Physiology Monash Biomedicine Discovery Institute, School of Biomedical Sciences, Monash University Melbourne Victoria Australia
- Monash Alfred Psychiatry Research Centre Central Clinical School, Monash University and Alfred Health Melbourne Victoria Australia
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Dargél AA, Mosconi E, Masson M, Plaze M, Taieb F, Von Platen C, Buivan TP, Pouleriguen G, Sanchez M, Fournier S, Lledo PM, Henry C. Toi Même, a Mobile Health Platform for Measuring Bipolar Illness Activity: Protocol for a Feasibility Study. JMIR Res Protoc 2020; 9:e18818. [PMID: 32638703 PMCID: PMC7463390 DOI: 10.2196/18818] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/24/2020] [Accepted: 06/25/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The diagnosis and management of bipolar disorder are limited by the absence of available biomarkers. Patients with bipolar disorder frequently present with mood instability even during remission, which is likely associated with the risk of relapse, impaired functioning, and suicidal behavior, indicating that the illness is active. OBJECTIVE This research protocol aimed to investigate the correlations between clinically rated mood symptoms and mood/behavioral data automatically collected using the Toi Même app in patients with bipolar disorder presenting with different mood episodes. This study also aimed to assess the feasibility of this app for self-monitoring subjective and objective mood/behavior parameters in those patients. METHODS This open-label, nonrandomized trial will enroll 93 (31 depressive, 31 euthymic, and 31 hypomanic) adults diagnosed with bipolar disorder type I/II (Diagnostic and Statistical Manual of Mental Disorders, 5th edition criteria) and owning an iPhone. Clinical evaluations will be performed by psychiatrists at the baseline and after 2 weeks, 1 month, 2 months, and 3 months during the follow-up. Rather than only accessing the daily mood symptoms, the Toi Même app also integrates ecological momentary assessments through 2 gamified tests to assess cognition speed (QUiCKBRAIN) and affective responses (PLAYiMOTIONS) in real-life contexts, continuously measures daily motor activities (eg, number of steps, distance) using the smartphone's motion sensors, and performs a comprehensive weekly assessment. RESULTS Recruitment began in April 2018 and the completion of the study is estimated to be in December 2021. As of April 2019, 25 participants were enrolled in the study. The first results are expected to be submitted for publication in 2020. This project has been funded by the Perception and Memory Unit of the Pasteur Institute (Paris) and it has received the final ethical/research approvals in April 2018 (ID-RCB: 2017-A02450-53). CONCLUSIONS Our results will add to the evidence of exploring other alternatives toward a more integrated approach in the management of bipolar disorder, including digital phenotyping, to develop an ethical and clinically meaningful framework for investigating, diagnosing, and treating individuals at risk of developing bipolar disorder or currently experiencing bipolar disorder. Further prospective studies on the validity of automatically generated smartphone data are needed for better understanding the longitudinal pattern of mood instability in bipolar disorder as well as to establish the reliability, efficacy, and cost-effectiveness of such an app intervention for patients with bipolar disorder. TRIAL REGISTRATION ClinicalTrials.gov NCT03508427; https://clinicaltrials.gov/ct2/show/NCT03508427. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/18818.
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Affiliation(s)
- Aroldo A Dargél
- Perception and Memory Unit, Neuroscience Department, Pasteur Institute, Paris, France.,Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique (CNRS), Paris, France.,Centre Thérapeutique de Jour (CTPJ) Troubles Bipolaires, Clinique Bellevue, Meudon, France
| | - Elise Mosconi
- Centre Thérapeutique de Jour (CTPJ) Troubles Bipolaires, Clinique Bellevue, Meudon, France
| | - Marc Masson
- Clinique du Château de Garches, Garches, France
| | - Marion Plaze
- Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neuroscience, Paris, France
| | - Fabien Taieb
- Centre of Translational Research, Institut Pasteur, Paris, France
| | | | - Tan Phuc Buivan
- Centre of Translational Research, Institut Pasteur, Paris, France
| | | | - Marie Sanchez
- Department of Information Systems, Institut Pasteur, Paris, France
| | | | - Pierre-Marie Lledo
- Perception and Memory Unit, Neuroscience Department, Pasteur Institute, Paris, France.,Unité Mixte de Recherche 3571, Centre National de la Recherche Scientifique (CNRS), Paris, France
| | - Chantal Henry
- Perception and Memory Unit, Neuroscience Department, Pasteur Institute, Paris, France.,Department of Psychiatry, Service Hospitalo-Universitaire, GHU Paris Psychiatrie & Neuroscience, Paris, France
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Nenadić I, Katzmann I, Besteher B, Langbein K, Güllmar D. Diffusion tensor imaging in borderline personality disorder showing prefrontal white matter alterations. Compr Psychiatry 2020; 101:152172. [PMID: 32473382 DOI: 10.1016/j.comppsych.2020.152172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Revised: 03/19/2020] [Accepted: 03/30/2020] [Indexed: 01/29/2023] Open
Abstract
Borderline personality disorder (BPD) has repeatedly been linked to alterations in fronto-limbic dysfunction. In this study, we tested the hypothesis of disturbed structural connectivity in underlying fibre tracts and their relation to symptom profiles. We analysed diffusion tensor imaging (DTI) data from 18 female BPD patients and 38 female healthy controls. Group comparisons showed significant (p < .05, FDR adjusted) increase of radial diffusivity (RD) in the right frontal lobe, including the uncinate fasciculus, anterior thalamic radiation, and inferior fronto-occipital fasciculus, as well as overall apparent diffusion coefficient (ADC) increases in the anterior and posterior internal capsule. Symptom correlations, based on the BSL-95 questionnaires, within the BPD sample showed significant negative correlations of dysphoria with ADC the left and right anterior thalamic radiation, and positive correlations of fractional anisotropy with self-perception scores in the right superior corona radiata. While our findings add to the fronto-limbic dysfunction model of BPD, they provide additional evidence of links to its affective core pathology, particularly frontotemporal and fronto-thalamic systems.
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Affiliation(s)
- Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps University Marburg & Marburg University Hospital/UKGM, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), Hans-Meerwein-Str. 6, 35032 Marburg, Germany; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
| | - Isabell Katzmann
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Bianca Besteher
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Kerstin Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Daniel Güllmar
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
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Harrison PJ, Geddes JR, Tunbridge EM. The Emerging Neurobiology of Bipolar Disorder. FOCUS: JOURNAL OF LIFE LONG LEARNING IN PSYCHIATRY 2020; 17:284-293. [PMID: 32015720 DOI: 10.1176/appi.focus.17309] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
(Reprinted with permission from Trends in Neurosciences, January 2018, Vol. 41, No. 1 ).
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Mood instability during pregnancy and postpartum: a systematic review. Arch Womens Ment Health 2020; 23:29-41. [PMID: 30834475 DOI: 10.1007/s00737-019-00956-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Accepted: 02/19/2019] [Indexed: 01/28/2023]
Abstract
Perinatal mood instability (MI) is a common clinical observation in perinatal women, and existing research indicates that MI is strongly associated with a variety of mental disorders. The purpose of this study is to review the evidence of perinatal MI systematically, with a focus on perinatal MI, its relation to perinatal depression, and its effects on children. A systematic search of the literature using PRISMA guidelines was conducted on seven academic health databases to identify any peer-reviewed articles published in English from 1985 to July 2017. Studies were screened, data were extracted, and quality of the selected studies was assessed. A total of 1927 abstracts were returned from the search, with 1063 remaining for abstract screening after duplicate removal, and 4 quantitative studies were selected for final analysis. The selected studies addressed perinatal MI (n = 2), the relation of perinatal MI to perinatal depression (n = 1), and the effects of perinatal MI on children (n = 1). The selected studies identified that perinatal women experienced a significantly higher level of MI than non-perinatal women, MI is a prominent feature in perinatal women with and without depression, mood lability during the early postpartum predicts psychopathology up to 14 months postpartum, and maternal emotion dysregulation, rather than maternal psychopathology, increases the risk of heightened facial affect synchrony in mother-infant interaction. The study reveals a significant gap in the literature of perinatal MI.
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Brietzke E, Hawken ER, Idzikowski M, Pong J, Kennedy SH, Soares CN. Integrating digital phenotyping in clinical characterization of individuals with mood disorders. Neurosci Biobehav Rev 2019; 104:223-230. [DOI: 10.1016/j.neubiorev.2019.07.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 07/08/2019] [Accepted: 07/15/2019] [Indexed: 12/26/2022]
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Foroughe M, Stillar A, Goldstein L, Dolhanty J, Goodcase ET, Lafrance A. Brief Emotion Focused Family Therapy: An Intervention for Parents of Children and Adolescents with Mental Health Issues. JOURNAL OF MARITAL AND FAMILY THERAPY 2019; 45:410-430. [PMID: 30105875 DOI: 10.1111/jmft.12351] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
This study evaluated the 2-day intensive modality of Emotion Focused Family Therapy (EFFT). The intervention attempts to prepare parents to take a primary role in their child's recovery from a range of mental health issues. One hundred and twenty-four parents completed the intervention and provided data a week prior to intervention, post-intervention and at 4-month follow-up. Results include significantly reduced parent blocks and increased parental self-efficacy in relation to involvement in their child's recovery, as well as significant improvement in child symptomatology. The findings confirm positive results from an earlier pilot study involving eating disorders and demonstrate the potential for EFFT as an intervention for a range of clinical problems in children and youth.
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Abstract
While impairments in cognitive emotional processing are key to the experience of mood disorders, little is understood of their shared and distinct features across major depressive disorder (MDD) and bipolar disorder (BD). In this review, we discuss the similarities and differences in abnormal emotional processing associated with mood disorders across the cognitive domains of perception, attention, memory, and reward processing, with a particular focus on how these impairments relate to the clinical profile of the disorders. We consider behavioral and neuroimaging evidence, especially that of the growing consensus surrounding mood-congruent biases in cognition, in combination with state- and trait-related characteristics in an attempt to provide a more comprehensive and translational overview of mood disorders. Special consideration is given to the shared phenomenon of mood instability and its role as a potential transdiagnostic marker across the prodrome and maintenance of mood disorders.
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Marwaha S, Price C, Scott J, Weich S, Cairns A, Dale J, Winsper C, Broome MR. Affective instability in those with and without mental disorders: A case control study. J Affect Disord 2018; 241:492-498. [PMID: 30149337 DOI: 10.1016/j.jad.2018.08.046] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2018] [Revised: 07/17/2018] [Accepted: 08/12/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND Affective instability (AI) is transdiagnostic, and associated with suicidality and healthcare use. It has rarely been compared between diagnoses or to controls. We investigated: whether AI differs between clinical cases and controls and between diagnoses; how different AI components are correlated; and whether AI is associated with functioning in clinical cases. METHODS Cases (N = 69) from psychiatric services had a diagnosis of borderline personality disorder, bipolar disorder, major depression or psychosis and were compared to primary care controls (N = 25). Participants completed the affective lability scale (ALS), affective intensity measure (AIM), affective control scale (ACS), scored mood fluctuation rate and the WHO-DAS. RESULTS There was a significant difference in affective lability between cases and controls and across diagnostic groups (p < 0.001). Compared to controls, cases showed lower affective control (p < 0.05). There were no differences in affective intensity between cases and controls or between diagnostic groups, or in mood fluctuation rate between groups. ALS score (p < 0.001), and total number of medications (p < 0.046), were associated with functioning, independent of diagnosis. LIMITATIONS The sample size was modest. Cases were not in an acute illness episode and this could bias estimates of group difference towards the null. CONCLUSION Individuals with mental disorder demonstrate higher levels of affective lability and lower affect control than those without mental disorder. In contrast affective intensity may not be useful in demarcating abnormal affective experience. Independent of diagnosis, affective instability, as measured by affect lability, adversely impacts day-to-day functioning. It could be an important target for clinical intervention.
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Affiliation(s)
- Steven Marwaha
- Mental Health and Wellbeing, Division of Health Sciences, University of Warwick, CV47AL, UK; Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
| | - Charlotte Price
- Operational Research and Management Sciences Group, Warwick Business School, University of Warwick, CV4 7AL, UK
| | - Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK and IOPPN, Kings College, London, UK
| | - Scott Weich
- Mental Health Research Unit, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield S1 4DA, UK
| | - Aimee Cairns
- Mental Health and Wellbeing, Division of Health Sciences, University of Warwick, CV47AL, UK
| | - Jeremy Dale
- Department of Primary Care, Warwick Medical School, University of Warwick, CV47AL, UK
| | - Catherine Winsper
- Mental Health and Wellbeing, Division of Health Sciences, University of Warwick, CV47AL, UK
| | - Matthew R Broome
- Institute for Mental Health, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
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Parker G, McCraw S, Bayes A. Borderline personality disorder: does its clinical features show specificity to differing developmental risk factors? Australas Psychiatry 2018. [PMID: 29533077 DOI: 10.1177/1039856218760732] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVES To determine if differing developmental factors show specificity to differing manifestations of borderline personality disorder (BPD). METHODS A clinical sample of 73 females diagnosed with BPD undertook a psychiatrist interview and completed self-report questionnaires, including the semi-structured Diagnostic Interview for DSM-IV Personality Disorders (DIPD-IV) assessing for BPD status. A set of negative and potentially traumatic developmental factors were included in the assessment. RESULTS Childhood sexual abuse, affirmed by 49% of the sample, showed specificity in being linked with DIPD-defined affective instability. DIPD-defined identity disturbance also showed specificity in being associated only with reporting significant non-sexual developmental trauma. DIPD-defined anger and paranoia/dissociation showed minimal specificity and were associated with most antecedent developmental factors in adulthood. CONCLUSIONS Differing manifestations of BPD are likely to be shaped by specific and non-specific developmental events. Clarification of such links has the potential to shape more specific therapeutic interventions.
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Affiliation(s)
- Gordon Parker
- Scientia Professor of Psychiatry, School of Psychiatry, the University of New South Wales, Sydney, NSW, and; Black Dog Institute, Sydney, NSW, Australia
| | - Stacey McCraw
- Research officer, School of Psychiatry, the University of New South Wales, Sydney, NSW, and; Black Dog Institute, Sydney, NSW, Australia
| | - Adam Bayes
- Senior research fellow, School of Psychiatry, the University of New South Wales, Sydney, NSW, and; Black Dog Institute, Sydney, NSW, Australia
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Harrison PJ, Geddes JR, Tunbridge EM. The Emerging Neurobiology of Bipolar Disorder. Trends Neurosci 2018; 41:18-30. [PMID: 29169634 PMCID: PMC5755726 DOI: 10.1016/j.tins.2017.10.006] [Citation(s) in RCA: 130] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/20/2017] [Accepted: 10/31/2017] [Indexed: 12/12/2022]
Abstract
Bipolar disorder (BD) is a leading cause of global disability. Its biological basis is unknown, and its treatment unsatisfactory. Here, we review two recent areas of progress. First, the discovery of risk genes and their implications, with a focus on voltage-gated calcium channels as part of the disease process and as a drug target. Second, facilitated by new technologies, it is increasingly apparent that the bipolar phenotype is more complex and nuanced than simply one of recurring manic and depressive episodes. One such feature is persistent mood instability, and efforts are underway to understand its mechanisms and its therapeutic potential. BD illustrates how psychiatry is being transformed by contemporary neuroscience, genomics, and digital approaches.
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Affiliation(s)
- Paul J Harrison
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK.
| | - John R Geddes
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK
| | - Elizabeth M Tunbridge
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, OX3 7JX, UK
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Hamstra DA, de Kloet ER, de Rover M, Van der Does W. Oral contraceptives positively affect mood in healthy PMS-free women: A longitudinal study. J Psychosom Res 2017; 103:119-126. [PMID: 29167038 DOI: 10.1016/j.jpsychores.2017.10.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 10/01/2017] [Accepted: 10/19/2017] [Indexed: 12/20/2022]
Abstract
OBJECTIVE Menstrual cycle phase and oral contraceptives (OC) use influence mood and cognition and these effects may be moderated by the mineralocorticoid receptor (MR) genotype. The effect of menstrual cycle phase on mood may be increased if participants know that this is the focus of study. We assessed aspects associated with reproductive depression such as mood, interpersonal sensitivity, affect lability and depressive cognitions in MR-genotyped OC-users and naturally cycling (NC) women in a carefully masked design. METHODS A homogenous sample of healthy, PMS-free, pre-menopausal MR-genotyped women (n=92) completed online questionnaires eight times during two consecutive cycles. RESULTS The masking of the research question was successful. OC-users did not differ significantly from NC women in positive and negative affect at the time of assessment, personality characteristics (e.g. neuroticism) or mental and physical health. Both groups reported more shifts in anger in the first cycle week (p<0.001; ηp2=0.08). Compared to NC women, OC-users reported fewer mood-shifts between depression and elation in the mid-luteal phase of the menstrual cycle (p=0.002; ηp2=0.10) and had fewer ruminating thoughts at all phases (p=0.003; ηp2=0.11). Effects of MR-genotype were not significant after correction for multiple comparisons. CONCLUSION OC users scored more favorably on measures associated with reproductive depression. OC users also showed a decreased affect variability possibly indicating an emotional blunting effect, which is in line with previous reports on affect-stabilizing effects of OC. Limitations were loss of cases due to irregularities in the menstrual cycle length and possible confounding by the 'survivor effect', since almost all OC-users took OC for more than a year.
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Affiliation(s)
- Danielle A Hamstra
- Institute of Psychology, Leiden University; Leiden Institute of Brain and Cognition, Leiden University.
| | | | - Mischa de Rover
- Institute of Psychology, Leiden University; Leiden Institute of Brain and Cognition, Leiden University
| | - Willem Van der Does
- Institute of Psychology, Leiden University; Leiden Institute of Brain and Cognition, Leiden University; Department of Psychiatry, Leiden University Medical Center
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Ward J, Strawbridge RJ, Bailey MES, Graham N, Ferguson A, Lyall DM, Cullen B, Pidgeon LM, Cavanagh J, Mackay DF, Pell JP, O'Donovan M, Escott-Price V, Smith DJ. Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia. Transl Psychiatry 2017; 7:1264. [PMID: 29187730 PMCID: PMC5802589 DOI: 10.1038/s41398-017-0012-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 06/09/2017] [Accepted: 08/09/2017] [Indexed: 11/08/2022] Open
Abstract
Mood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure of mood instability and evaluate its genetic relationship with several psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, attention deficit hyperactivity disorder (ADHD), anxiety disorder and post-traumatic stress disorder (PTSD). We conducted a genome-wide association study (GWAS) of mood instability in 53,525 cases and 60,443 controls from UK Biobank, identifying four independently associated loci (on chromosomes 8, 9, 14 and 18), and a common single-nucleotide polymorphism (SNP)-based heritability estimate of ~8%. We found a strong genetic correlation between mood instability and MDD (r g = 0.60, SE = 0.07, p = 8.95 × 10-17) and a small but significant genetic correlation with both schizophrenia (r g = 0.11, SE = 0.04, p = 0.01) and anxiety disorders (r g = 0.28, SE = 0.14, p = 0.04), although no genetic correlation with BD, ADHD or PTSD was observed. Several genes at the associated loci may have a role in mood instability, including the DCC netrin 1 receptor (DCC) gene, eukaryotic translation initiation factor 2B subunit beta (eIF2B2), placental growth factor (PGF) and protein tyrosine phosphatase, receptor type D (PTPRD). Strengths of this study include the very large sample size, but our measure of mood instability may be limited by the use of a single question. Overall, this work suggests a polygenic basis for mood instability. This simple measure can be obtained in very large samples; our findings suggest that doing so may offer the opportunity to illuminate the fundamental biology of mood regulation.
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Affiliation(s)
- Joey Ward
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Rona J Strawbridge
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Mark E S Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Nicholas Graham
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Amy Ferguson
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Donald M Lyall
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Breda Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Laura M Pidgeon
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jonathan Cavanagh
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Daniel F Mackay
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | | | - Daniel J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
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Lenzi F, Cortese S, Harris J, Masi G. Pharmacotherapy of emotional dysregulation in adults with ADHD: A systematic review and meta-analysis. Neurosci Biobehav Rev 2017; 84:359-367. [PMID: 28837827 DOI: 10.1016/j.neubiorev.2017.08.010] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2017] [Revised: 08/12/2017] [Accepted: 08/16/2017] [Indexed: 10/19/2022]
Abstract
Emotional dysregulation (ED) is a dysfunction in modifying an emotional state in an adaptive and goal oriented way, with excitability, ease anger, and mood lability. It is present in up to 70% of adults with ADHD, regardless of other comorbidities, and substantially worsens the psychosocial outcomes of the disorder. Besides fronto-parietal circuits mediating top-down control, brain regions involved in bottom-up processes (e.g., amygdala, orbitofrontal cortex, and ventral striatum) are implicated in ED. We performed a systematic review/meta-analysis of double-blind randomized controlled trials of ADHD medications to assess their effects on ED in adults with ADHD. We searched an extensive set of databases, international trials registries, and contacted study authors/drug companies for unpublished data. We retained 21 trials. We found small-to-moderate effects (methylphenidate: SMD=0.34, 95% CI=0.23-0.45; atomoxetine: SMD=0.24, 95% CI=0.15-0.34; lisdexamfetamine: SMD=0.50, 95% CI=0.21-0.8). We suggest that, whilst ADHD medications are effective on ADHD core symptoms, they may be less effective on bottom-up mechanisms underlying ED. Further research on novel pharmacological and non-pharmacological strategies for ED in adults with ADHD is warranted. PROSPERO CRD42017068426.
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Affiliation(s)
- Francesca Lenzi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Viale del Tirreno 331, 56128, Calambrone, Italy
| | - Samuele Cortese
- Department of Psychology, Centre for Innovation in Mental Health, University of Southampton, Highfield Campus, Clinical and Experimental Sciences (CNS and Psychiatry) and Solent NHS Trust, Southampton SO17 1BJ, UK; New York University Child Study Center, One Park Ave, 7th floor, New York City, New York 10016, USA
| | - Joseph Harris
- Department of Psychology, Centre for Innovation in Mental Health, University of Southampton, Highfield Campus, Clinical and Experimental Sciences (CNS and Psychiatry) and Solent NHS Trust, Southampton SO17 1BJ, UK
| | - Gabriele Masi
- IRCCS Stella Maris, Scientific Institute of Child Neurology and Psychiatry, Viale del Tirreno 331, 56128, Calambrone, Italy.
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Dargél AA, Godin O, Etain B, Hirakata V, Azorin JM, M'Bailara K, Bellivier F, Bougerol T, Kahn JP, Passerieux C, Aubin V, Courtet P, Leboyer M, Henry C. Emotional reactivity, functioning, and C-reactive protein alterations in remitted bipolar patients: Clinical relevance of a dimensional approach. Aust N Z J Psychiatry 2017; 51:788-798. [PMID: 28374603 DOI: 10.1177/0004867417691850] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Inter-episode mood instability has increasingly been considered in bipolar disorder. This study aimed to investigate emotional reactivity as a major dimension for better characterizing remitted bipolar patients with subthreshold mood symptoms and functional status. This study also aimed to investigate whether high-sensitivity C-reactive protein, a marker of low-grade inflammation, could be a biological marker of emotional dysregulation in bipolar disorder (BD). METHODS Cross-sectional study of 613 subjects who met Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition criteria for BD recruited from the FondaMental Advanced Centers of Expertise in Bipolar Disorders cohort from 2009 to 2014. All patients had been in remission for at least 3 months before assessment. Patients were classified into three groups according to levels of emotional reactivity. Emotional reactivity was assessed by using the Multidimensional Assessment of Thymic States, and functional status was assessed by the Functioning Assessment Short Test. Clinical characteristics and blood sample were collected from all patients. RESULTS In total, 415 (68%) patients had abnormal emotional reactivity. Independent of potential confounders, including age, gender and subthreshold mood symptoms, serum levels of high-sensitivity C-reactive protein were significantly higher in patients with emotional hyper-reactivity (median = 4.0 mg/L, interquartile range = 2.7-5.6), and with emotional hypo-reactivity (median = 3.0 mg/L, interquartile range = 1-4) compared with patients with normal emotional reactivity (median = 0.95 mg/L, interquartile range = 0.4-1.9, p < 0.001). Patients with emotional hyper-reactivity showed significant cognitive functioning impairment ( p < 0.001). CONCLUSIONS Emotional reactivity appears to be a relevant dimension for better characterizing remitted bipolar patients with subthreshold mood symptoms. Levels of high-sensitivity C-reactive protein may be an objective marker of emotional dysregulation in BD. Further studies are needed to confirm our findings.
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Affiliation(s)
- Aroldo A Dargél
- 1 Unité Perception et Mémoire, Institut Pasteur, Paris, France.,2 Unité Mixte de Recherche, Centre National de la Recherche Scientifique, Paris, France
| | - Ophelia Godin
- 3 INSERM UMRS 943, UPMC Université, Paris, France.,4 Fondation FondaMental, Fondation de cooperation scientifique, Créteil, France
| | - Bruno Etain
- 4 Fondation FondaMental, Fondation de cooperation scientifique, Créteil, France.,5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,6 Université Paris-Est, UMR_S955, UPEC, Créteil, France.,7 Pôle de Psychiatrie, Hôpital H. Mondor-A. Chenevier, AP-HP, Créteil, France
| | - Vânia Hirakata
- 8 Grupo de Pós-Graduação e Pesquisa, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Jean-Michel Azorin
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,9 Service de psychiatrie adulte, Centre Expert Trouble Bipolaire, Hôpital Charles Perrens, Bordeaux, France
| | - Katia M'Bailara
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,9 Service de psychiatrie adulte, Centre Expert Trouble Bipolaire, Hôpital Charles Perrens, Bordeaux, France.,10 Laboratory of Psychology 'Health and Quality of Life' EA 4139, Université Bordeaux Segalen, Bordeaux, France
| | - Frank Bellivier
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,11 AP-HP, GH Saint-Louis-Lariboisière-Fernand Widal, Pôle Neurosciences, Paris, France
| | - Thierry Bougerol
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,12 University Joseph Fourier, Grenoble, France.,13 Centre Hospitalier Universitaire de Grenoble, Grenoble, France.,14 Grenoble Institut des Neurosciences (GIN), Inserm U 836, Chemin Fortuné Ferrini, La Tronche, France
| | - Jean-Pierre Kahn
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,15 Centre Hospitalier Universitaire de Nancy, Hôpitaux de Brabois, Université de Lorraine, Vandoeuvre les Nancy, France
| | - Christine Passerieux
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,16 Centre Hospitalier de Versailles, Le Chesnay, France.,17 Université de Versailles Saint-Quentin-en-Yvelines, Versailles, France
| | - Valerie Aubin
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,18 Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, Monaco, France
| | - Philippe Courtet
- 5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,19 Psychiatric Emergency Department, CHRU Montpellier, France.,20 INSERM U1061, Montpellier University, Montpellier, France
| | - Marion Leboyer
- 4 Fondation FondaMental, Fondation de cooperation scientifique, Créteil, France.,5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,6 Université Paris-Est, UMR_S955, UPEC, Créteil, France.,7 Pôle de Psychiatrie, Hôpital H. Mondor-A. Chenevier, AP-HP, Créteil, France
| | - Chantal Henry
- 1 Unité Perception et Mémoire, Institut Pasteur, Paris, France.,5 INSERM, U955, Equipe 15 Genetic Psychiatry, Créteil, France.,6 Université Paris-Est, UMR_S955, UPEC, Créteil, France.,7 Pôle de Psychiatrie, Hôpital H. Mondor-A. Chenevier, AP-HP, Créteil, France
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Harrison PJ, Cipriani A, Harmer CJ, Nobre AC, Saunders K, Goodwin GM, Geddes JR. Innovative approaches to bipolar disorder and its treatment. Ann N Y Acad Sci 2017; 1366:76-89. [PMID: 27111134 PMCID: PMC4850752 DOI: 10.1111/nyas.13048] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 02/25/2016] [Accepted: 03/01/2016] [Indexed: 12/29/2022]
Abstract
All psychiatric disorders have suffered from a dearth of truly novel pharmacological interventions. In bipolar disorder, lithium remains a mainstay of treatment, six decades since its effects were serendipitously discovered. The lack of progress reflects several factors, including ignorance of the disorder's pathophysiology and the complexities of the clinical phenotype. After reviewing the current status, we discuss some ways forward. First, we highlight the need for a richer characterization of the clinical profile, facilitated by novel devices and new forms of data capture and analysis; such data are already promoting a reevaluation of the phenotype, with an emphasis on mood instability rather than on discrete clinical episodes. Second, experimental medicine can provide early indications of target engagement and therapeutic response, reducing the time, cost, and risk involved in evaluating potential mood stabilizers. Third, genomic data can inform target identification and validation, such as the increasing evidence for involvement of calcium channel genes in bipolar disorder. Finally, new methods and models relevant to bipolar disorder, including stem cells and genetically modified mice, are being used to study key pathways and drug effects. A combination of these approaches has real potential to break the impasse and deliver genuinely new treatments.
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Affiliation(s)
- Paul J Harrison
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Catherine J Harmer
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Anna C Nobre
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom.,Oxford Centre for Human Brain Activity, Warneford Hospital, Oxford, United Kingdom
| | - Kate Saunders
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - Guy M Goodwin
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
| | - John R Geddes
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom.,Oxford Health NHS Foundation Trust, Oxford, United Kingdom
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Abstract
BACKGROUND The definitive diagnosis of depression calls for fulfillment of certain criteria in terms of symptoms, severity, and duration, but subthreshold cases are not uncommon. These may evolve to become clinically diagnosable depression preceded by prodrome. The current study was conducted to study prodromal and residual symptoms in depression. MATERIALS AND METHODS Eighty follow-up patients of depressive episode (F32, International Classification of Diseases-10) in remission defined by Hamilton Depression Rating Scale score <8 were interviewed. A symptom was identified as prodromal if it appeared at any time before the period of onset of symptoms sufficient to fulfill the criteria to make a diagnosis of depressive episode. Clinical Interview for Depression and Related Syndromes was used to identify the presence of symptoms. Statistical analysis was done with McNemar test and Pearson's Chi-square test using SPSS software version 20.0. RESULTS The mean age of patients was 41.25 (±8.58) years and the sample was predominately female patients (80%). All the eighty patients had at least one prodromal symptom. The mean duration of prodrome was 115 (±64.46) days. Irritability (45%), insomnia (45%), and reduced energy (43.8%) were the most frequent prodromal symptoms. Frequency of irritability was comparable in prodromal and residual phases of depression (P = 0.074) and significantly associated with a positive family history of depression (P = 0.004). CONCLUSION Prodrome is present in most cases of depression lasting from weeks to months. Prodrome is frequented by irritability, anxiety, sleep problems, and fatigability. Irritability is associated with genetic loading of depression and likely to present as residual symptom if it is present in prodromal phase.
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Affiliation(s)
- Vishal B Pede
- Department of Psychiatry, HBT Medical College and Dr. RN Cooper Municipal General Hospital, Mumbai, Maharashtra, India
| | - Suyog Vijay Jaiswal
- Department of Psychiatry, HBT Medical College and Dr. RN Cooper Municipal General Hospital, Mumbai, Maharashtra, India
| | - Vishal A Sawant
- Department of Psychiatry, HBT Medical College and Dr. RN Cooper Municipal General Hospital, Mumbai, Maharashtra, India
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Mneimne M, Fleeson W, Arnold EM, Furr RM. Differentiating the everyday emotion dynamics of borderline personality disorder from major depressive disorder and bipolar disorder. Personal Disord 2017; 9:192-196. [PMID: 28557468 DOI: 10.1037/per0000255] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A major barrier to the understanding of emotion dynamics in borderline personality disorder (BPD) lies in its substantial comorbidity with major depressive disorder (MDD) and bipolar disorder (BD). Whereas BPD has often been characterized in terms of dynamic emotional processes, including instability, reactivity, and inertia, its substantial comorbidity with MDD and BD makes it difficult to discern the specificity of these dynamics. To differentiate the emotion dynamics of BPD from those of MDD and BD, an experience sampling study of 38 participants with BPD, 15 participants with MDD, 14 participants with BD, and 62 healthy controls obtained reports of interpersonal challenges and emotions 5 times daily for 2 weeks. Interpersonal challenges included rejection, betrayal, abandonment, offense, disappointment, and self-image challenge; emotions included anger, excitement, guilt, happiness, irritability, and shame. Multilevel analyses revealed that heightened interpersonal reactivity of guilt and shame and heightened inertia of shame were relatively specific to BPD. These findings could not be accounted for by the presence of current MDD or BD. By contrast, heightened instability of anger and irritability and heightened inertia of irritability appeared to be largely transdiagnostic. Implications for clinical assessment, research, and theory are discussed. (PsycINFO Database Record
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Upthegrove R, Marwaha S, Birchwood M. Depression and Schizophrenia: Cause, Consequence, or Trans-diagnostic Issue? Schizophr Bull 2017; 43:240-244. [PMID: 27421793 PMCID: PMC5605248 DOI: 10.1093/schbul/sbw097] [Citation(s) in RCA: 129] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The presence of depression in schizophrenia has been a challenge to the Kraepelinian dichotomy, with various attempts to save the fundamental distinction including evoking and refining diagnoses such as schizoaffective disorder. But the tectonic plates are shifting. Here we put forward a summary of recent evidence regarding the prevalence, importance, possible aetiological pathways and treatment challenges that recognizing depression in schizophrenia bring. Taken together we propose that depression is more than comorbidity and that increased effective therapeutic attention to mood symptoms will be needed to improve outcomes and to support prevention.
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Affiliation(s)
- Rachel Upthegrove
- Institute of Clinical Sciences, School of Clinical and Experimental Medicine, University of Birmingham, Birmingham, UK;,Early Intervention Service, Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Steven Marwaha
- Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK;,Affective Disorder Service, Coventry and Warwickshire Partnership Trust, Coventry, UK
| | - Max Birchwood
- Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
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Villalta-Gil V, Hinton KE, Landman BA, Yvernault BC, Perkins SF, Katsantonis AS, Sellani CL, Lahey BB, Zald DH. Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks. Neuroimage 2016; 146:312-319. [PMID: 27894890 DOI: 10.1016/j.neuroimage.2016.11.038] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 10/14/2016] [Accepted: 11/14/2016] [Indexed: 11/30/2022] Open
Abstract
The amygdala (AMG) has been repeatedly implicated in the processing of threatening and negatively valenced stimuli and multiple fMRI paradigms have reported personality, genetic, and psychopathological associations with individual differences in AMG activation in these paradigms. Yet the interchangeability of activations in these probes has not been established, thus it remains unclear if we can interpret AMG responses on specific tasks as general markers of its reactivity. In this study we aimed to assess if different tasks that have been widely used within the Affective Neuroscience literature consistently recruit the AMG. METHOD Thirty-two young healthy subjects completed four fMRI tasks that have all been previously shown to probe the AMG during processing of threatening stimuli: the Threat Face Matching (TFM), the Cued Aversive Picture (CAP), the Aversive and Erotica Pictures (AEP) and the Screaming Lady paradigm (SLp) tasks. Contrasts testing response to aversive stimuli relative to baseline or neutral stimuli were generated and correlations between activations in the AMG were calculated across tasks were performed for ROIs of the AMG. RESULTS The TFM, CAP and AEP, but not the SLp, successfully recruit the AMG, among other brain regions, especially when contrasts were against baseline or nonsocial stimuli. Conjunction analysis across contrasts showed that visual cortices (VisCtx) were also consistently recruited. Correlation analysis between the extracted data for right and left AMG did not yield significant associations across tasks. By contrast, the extracted signal in VisCtx showed significant associations across tasks (range r=0.511-r=0.630). CONCLUSIONS Three of the four paradigms revealed significant AMG reactivity, but individual differences in the magnitudes of AMG reactivity were not correlated across paradigms. By contrast, VisCtx activation appears to be a better candidate than the AMG as a measure of individual differences with convergent validity across negative emotion processing paradigms.
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Affiliation(s)
- Victoria Villalta-Gil
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA.
| | - Kendra E Hinton
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA
| | - Bennett A Landman
- School of Engineering, Vanderbilt University. Nashville, TN 37240, USA
| | | | - Scott F Perkins
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA
| | - Allison S Katsantonis
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA
| | - Courtney L Sellani
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA
| | - Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA
| | - David H Zald
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN 37240, USA
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Silvers JA, Hubbard AD, Biggs E, Shu J, Fertuck E, Chaudhury S, Grunebaum MF, Weber J, Kober H, Chesin M, Brodsky BS, Koenigsberg H, Ochsner KN, Stanley B. Affective lability and difficulties with regulation are differentially associated with amygdala and prefrontal response in women with Borderline Personality Disorder. Psychiatry Res 2016; 254:74-82. [PMID: 27379614 PMCID: PMC4992645 DOI: 10.1016/j.pscychresns.2016.06.009] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 06/18/2016] [Accepted: 06/18/2016] [Indexed: 10/21/2022]
Abstract
The present neuroimaging study investigated two aspects of difficulties with emotion associated with Borderline Personality Disorder (BPD): affective lability and difficulty regulating emotion. While these two characteristics have been previously linked to BPD symptomology, it remains unknown whether individual differences in affective lability and emotion regulation difficulties are subserved by distinct neural substrates within a BPD sample. To address this issue, sixty women diagnosed with BPD were scanned while completing a task that assessed baseline emotional reactivity as well as top-down emotion regulation. More affective instability, as measured by the Affective Lability Scale (ALS), positively correlated with greater amygdala responses on trials assessing emotional reactivity. Greater difficulties with regulating emotion, as measured by the Difficulties with Emotion Regulation Scale (DERS), was negatively correlated with left Inferior Frontal Gyrus (IFG) recruitment on trials assessing regulatory ability. These findings suggest that, within a sample of individuals with BPD, greater bottom-up amygdala activity is associated with heightened affective lability. By contrast, difficulties with emotion regulation are related to reduced IFG recruitment during emotion regulation. These results point to distinct neural mechanisms for different aspects of BPD symptomology.
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Affiliation(s)
- Jennifer A Silvers
- Department of Psychology, University of California, Los Angeles, 1285 Franz Hall, Box 951563, Los Angeles, CA 90095, USA.
| | - Alexa D Hubbard
- Department of Psychology, New York University, 6 Washington Place, New York, NY 10003, USA
| | - Emily Biggs
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA
| | - Jocelyn Shu
- Department of Psychology, 1190 Amsterdam Avenue, New York, NY 10027, USA
| | - Eric Fertuck
- The City University of New York, Clinical Psychology Doctoral Program and Graduate Center, New York, NY 10031, USA
| | - Sadia Chaudhury
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA
| | - Michael F Grunebaum
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA
| | - Jochen Weber
- Department of Psychology, 1190 Amsterdam Avenue, New York, NY 10027, USA
| | - Hedy Kober
- Department of Psychiatry, Yale School of Medicine, One Church Street, New Haven, CT 06510, USA
| | - Megan Chesin
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA
| | - Beth S Brodsky
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA
| | - Harold Koenigsberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Kevin N Ochsner
- Department of Psychology, 1190 Amsterdam Avenue, New York, NY 10027, USA
| | - Barbara Stanley
- Department of Psychiatry, Columbia University College of Physicians and Surgeons, 1051 Riverside Drive, New York, NY 10032, USA.
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Richard-Lepouriel H, Etain B, Hasler R, Bellivier F, Gard S, Kahn JP, Prada P, Nicastro R, Ardu S, Dayer A, Leboyer M, Aubry JM, Perroud N, Henry C. Similarities between emotional dysregulation in adults suffering from ADHD and bipolar patients. J Affect Disord 2016; 198:230-6. [PMID: 27031290 DOI: 10.1016/j.jad.2016.03.047] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 02/02/2016] [Accepted: 03/12/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND Emotional dysregulation in subjects with attention deficit and hyperactivity disorder (ADHD) is a topic of growing interest among clinicians and researchers. The present study aims at investigating components of emotional dysregulation in adults ADHD compared to subjects suffering from bipolar disorder (BD). METHODS A total of 150 adults ADHD, 335 adults BD subjects and 48 controls were assessed using the Affective Lability Scale (ALS) and the Affect Intensity Measure (AIM), measuring respectively emotion lability and emotion responsiveness. RESULTS ADHD and BD subjects scored significantly higher on the ALS compared to controls (p=0.0001). BD subjects scored above ADHD ones (3.07 (SD=0.66) vs. 2.30 (SD=0.68); p<0.0001). The average total scores achieved on the AIM were significantly different for the three groups (p=0.0001) with significantly higher scores for ADHD subjects compared to BD ones (3.74 (SD=0.59) vs. 3.56 (SD=0.69); p<0.0001). LIMITATIONS Suspected cases of ADHD in the BD and control groups were derived from the Wender Utah Rating Scale (WURS). This study is a retrospective one. CONCLUSION Our study thus highlights the importance of emotional dysregulation in adults suffering from ADHD, showing that they display higher emotional intensity than bipolar disorder subjects and controls. Although the current diagnostic criteria of ADHD do not contain an emotional dimension, a better recognition of the significance of emotional responsiveness in ADHD patients can improve the care afforded to these patients, beyond the inattentive and hyperactive/impulsive components.
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Affiliation(s)
- Hélène Richard-Lepouriel
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland.
| | - Bruno Etain
- Inserm, U955, Equipe Psychiatrie Translationnelle, Créteil 94000, France; Université Paris Est, Faculté de Médecine, Créteil 94000, France; AP-HP, Hôpitaux Universitaires Henri Mondor, DHU Pepsy, Pôle de Psychiatrie et d'Addictologie, Créteil 94000, France; Fondation Fondamental, Créteil 94000, France
| | - Roland Hasler
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Frank Bellivier
- Fondation Fondamental, Créteil 94000, France; AP-HP, GH Saint-Louis - Lariboisière - Fernand Widal, Pôle Neurosciences, 75010 Paris, France; Université Paris Diderot, UMR-S 1144, 75006 Paris, France
| | - Sébastien Gard
- Fondation Fondamental, Créteil 94000, France; Hôpital Charles Perrens, Service de psychiatrie adulte, Pôle 3-4-7, 33000 Bordeaux, France
| | - Jean-Pierre Kahn
- Fondation Fondamental, Créteil 94000, France; Service de Psychiatrie et Psychologie Clinique, CHU de Nancy, Hôpitaux de Brabois, Vandoeuvre Les Nancy 54500, France
| | - Paco Prada
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Rosetta Nicastro
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Stefano Ardu
- Department of Cardiology and Endodontology, Treatment Plan Unit and Division of Operative Dentistry, Dental School, University of Geneva, Geneva, Switzerland
| | - Alexandre Dayer
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Marion Leboyer
- Inserm, U955, Equipe Psychiatrie Translationnelle, Créteil 94000, France; Université Paris Est, Faculté de Médecine, Créteil 94000, France; AP-HP, Hôpitaux Universitaires Henri Mondor, DHU Pepsy, Pôle de Psychiatrie et d'Addictologie, Créteil 94000, France; Fondation Fondamental, Créteil 94000, France
| | - Jean-Michel Aubry
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Nader Perroud
- Service of psychiatric specialties, Department of mental Health and Psychiatry, University Hospitals of Geneva, Geneva, Switzerland; Department of Psychiatry, University of Geneva, Geneva, Switzerland
| | - Chantal Henry
- Inserm, U955, Equipe Psychiatrie Translationnelle, Créteil 94000, France; Université Paris Est, Faculté de Médecine, Créteil 94000, France; AP-HP, Hôpitaux Universitaires Henri Mondor, DHU Pepsy, Pôle de Psychiatrie et d'Addictologie, Créteil 94000, France; Institut Pasteur, Unité Perception et Mémoire, 75015 Paris, France
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Depp CA, Moore RC, Dev SI, Mausbach BT, Eyler LT, Granholm EL. The temporal course and clinical correlates of subjective impulsivity in bipolar disorder as revealed through ecological momentary assessment. J Affect Disord 2016; 193:145-50. [PMID: 26773907 PMCID: PMC4915941 DOI: 10.1016/j.jad.2015.12.016] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 11/30/2015] [Accepted: 12/11/2015] [Indexed: 01/08/2023]
Abstract
BACKGROUND Impulsivity is frequently linked with bipolar disorder and is associated with mania and negative outcomes. The temporal dynamics of subjective impulsivity are unclear, in particular whether impulsivity precedes or follows changes in positive or negative affect. METHODS A total of 41 outpatients with bipolar disorder (I or II) were provided with mobile devices for 11 weeks and completed twice-daily surveys about affective states and subjective impulsivity. We examined the association between aggregate subjective impulsivity with baseline global cognitive function, suicide risk ratings, and medication adherence, as well as concurrent and lagged associations with momentary positive and negative affect ratings. RESULTS A total of 2902 ratings were available across study subjects. Higher aggregate mean ratings of impulsivity were associated with worse baseline global cognitive function, prior suicide attempts, and self-reported problems with medication adherence, as well as more severe manic (but not depressive) symptoms. Time-lagged models indicated that greater negative affect, but not positive affect, predicted subsequent increases in subjective impulsivity, which, in turn, predicted diminished positive affect. LIMITATIONS Other measures of impulsivity with which to validate subjective ratings were unavailable and the sample was restricted to generally clinically stable outpatients. CONCLUSIONS Subjective impulsivity as measured by daily monitoring was associated with worse cognitive function and self-rated medication adherence, and higher suicide risk ratings. Impulsivity may be a maladaptive strategy to regulate negative affect in bipolar disorder.
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Affiliation(s)
- Colin A Depp
- UC San Diego Department of Psychiatry, La Jolla, CA, United States; VA San Diego, La Jolla, CA, United States.
| | - Raeanne C Moore
- UC San Diego Department of Psychiatry, La Jolla, CA, United States; VA San Diego, La Jolla, CA, United States
| | - Sheena I Dev
- UC San Diego Department of Psychiatry, La Jolla, CA, United States; VA San Diego, La Jolla, CA, United States
| | - Brent T Mausbach
- UC San Diego Department of Psychiatry, La Jolla, CA, United States
| | - Lisa T Eyler
- UC San Diego Department of Psychiatry, La Jolla, CA, United States; VA San Diego, La Jolla, CA, United States
| | - Eric L Granholm
- UC San Diego Department of Psychiatry, La Jolla, CA, United States; VA San Diego, La Jolla, CA, United States
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Marwaha S, Gordon-Smith K, Broome M, Briley PM, Perry A, Forty L, Craddock N, Jones I, Jones L. Affective instability, childhood trauma and major affective disorders. J Affect Disord 2016; 190:764-771. [PMID: 26615365 DOI: 10.1016/j.jad.2015.11.024] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2015] [Revised: 11/09/2015] [Accepted: 11/15/2015] [Indexed: 11/25/2022]
Abstract
BACKGROUND Affective instability (AI), childhood trauma, and mental illness are linked, but evidence in affective disorders is limited, despite both AI and childhood trauma being associated with poorer outcomes. Aims were to compare AI levels in bipolar disorder I (BPI) and II (BPII), and major depressive disorder recurrent (MDDR), and to examine the association of AI and childhood trauma within each diagnostic group. METHODS AI, measured using the Affective Lability Scale (ALS), was compared between people with DSM-IV BPI (n=923), BPII (n=363) and MDDR (n=207) accounting for confounders and current mood. Regression modelling was used to examine the association between AI and childhood traumas in each diagnostic group. RESULTS ALS scores in descending order were BPII, BPI, MDDR, and differences between groups were significant (p<0.05). Within the BPI group any childhood abuse (p=0.021), childhood physical abuse (p=0.003) and the death of a close friend in childhood (p=0.002) were significantly associated with higher ALS score but no association was found between childhood trauma and AI in BPII and MDDR. LIMITATIONS The ALS is a self-report scale and is subject to retrospective recall bias. CONCLUSIONS AI is an important dimension in bipolar disorder independent of current mood state. There is a strong link between childhood traumatic events and AI levels in BPI and this may be one way in which exposure and disorder are linked. Clinical interventions targeting AI in people who have suffered significant childhood trauma could potentially change the clinical course of bipolar disorder.
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Affiliation(s)
- S Marwaha
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick Coventry, CV4 7AL UK; Affective Disorders Service (IPU 3-8), Caludon Centre, Coventry CV2 2TE, UK
| | - K Gordon-Smith
- Department of Psychological Medicine, University of Worcester, WR2 6AJ UK
| | - M Broome
- Department of Psychiatry, University of Oxford, OX3 4JX UK
| | - P M Briley
- School of Medicine, University of Nottingham, Nottingham, NG7 2UH UK
| | - A Perry
- Department of Psychological Medicine, University of Worcester, WR2 6AJ UK
| | - L Forty
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ UK
| | - N Craddock
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ UK
| | - I Jones
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, CF24 4HQ UK
| | - L Jones
- Department of Psychological Medicine, University of Worcester, WR2 6AJ UK.
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Balbuena L, Bowen R, Baetz M, Marwaha S. Mood Instability and Irritability as Core Symptoms of Major Depression: An Exploration Using Rasch Analysis. Front Psychiatry 2016; 7:174. [PMID: 27833568 PMCID: PMC5080527 DOI: 10.3389/fpsyt.2016.00174] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 10/04/2016] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Mood instability (MI) and irritability are related to depression but are not considered core symptoms. Instruments typically code clusters of symptoms that are used to define syndromic depression, but the place of MI and irritability has been under-investigated. Whether they are core symptoms can be examined using Rasch analysis. METHOD We used the UK Psychiatric Morbidity Survey 2000 data (n = 8,338) to determine whether the nine ICD/DSM symptoms, plus MI and irritability, constitute a valid depression scale. Rasch analysis was used, a method concerned with ensuring that items constitute a robust scale and tests whether the count of symptoms reflects an underlying interval-level measure. Two random samples of 500 were drawn, serving as calibration and validation samples. As part of the analysis, we examined whether the candidate symptoms were unidimensional, followed a Guttman pattern, were locally independent, invariant with respect to age and sex, and reliably distinguished different levels of depression severity. RESULTS A subset of five symptoms (sad, no interest, sleep, cognition, suicidal ideas) together with mood instability and irritability satisfactorily fits the Rasch model. However, these seven symptoms do not separate clinically depressed persons from the rest of the population with adequate reliability (Cronbach α = 0.58; Person Separation Index = 0.35), but could serve as a basis for scale development. Likewise, the original nine DSM depression symptoms failed to achieve satisfactory reliability (Cronbach α = 0.67; Person Separation Index = 0.51). LIMITATIONS The time frame over which symptoms were experienced varied, and some required recall over the last year. Symptoms other than those examined here might also be core depression symptoms. CONCLUSION Mood instability and irritability are candidate core symptoms of the depressive syndrome and should be part of its clinical assessment.
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Affiliation(s)
- Lloyd Balbuena
- Psychiatry, University of Saskatchewan , Saskatoon, SK , Canada
| | - Rudy Bowen
- Psychiatry, University of Saskatchewan , Saskatoon, SK , Canada
| | - Marilyn Baetz
- Psychiatry, University of Saskatchewan , Saskatoon, SK , Canada
| | - Steven Marwaha
- Mental Health and Wellbeing, Warwick Medical School , Coventry , UK
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40
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Broome MR, Saunders KEA, Harrison PJ, Marwaha S. Mood instability: significance, definition and measurement. Br J Psychiatry 2015; 207:283-5. [PMID: 26429679 PMCID: PMC4589661 DOI: 10.1192/bjp.bp.114.158543] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Mood instability is common, and an important feature of several psychiatric disorders. We discuss the definition and measurement of mood instability, and review its prevalence, characteristics, neurobiological correlates and clinical implications. We suggest that mood instability has underappreciated transdiagnostic potential as an investigational and therapeutic target.
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Affiliation(s)
- M. R. Broome
- Correspondence: Matthew Broome, Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, OX3 7JX, UK.
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Marwaha S, Balbuena L, Winsper C, Bowen R. Mood instability as a precursor to depressive illness: A prospective and mediational analysis. Aust N Z J Psychiatry 2015; 49:557-65. [PMID: 25850428 DOI: 10.1177/0004867415579920] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Mood instability levels are high in depression, but temporal precedence and potential mechanisms are unknown. Hypotheses tested were as follows: (1) mood instability is associated with depression cross-sectionally, (2) mood instability predicts new onset and maintenance of depression prospectively and (3) the mood instability and depression link are mediated by sleep problems, alcohol abuse and life events. METHOD Data from the National Psychiatric Morbidity Survey 2000 at baseline (N = 8580) and 18-month follow-up (N = 2413) were used. Regression modeling controlling for socio-demographic factors, anxiety and hypomanic mood was conducted. Multiple mediational analyses were used to test our conceptual path model. RESULTS Mood instability was associated with depression cross-sectionally (odds ratio: 5.28; 95% confidence interval: [3.67, 7.59]; p < 0.001) and predicted depression inception (odds ratio: 2.43; 95% confidence interval: [1.03-5.76]; p = 0.042) after controlling for important confounders. Mood instability did not predict maintenance of depression. Sleep difficulties and severe problems with close friends and family significantly mediated the link between mood instability and new onset depression (23.05% and 6.19% of the link, respectively). Alcohol abuse and divorce were not important mediators in the model. CONCLUSION Mood instability is a precursor of a depressive episode, predicting its onset. Difficulties in sleep are a significant part of the pathway. Interventions targeting mood instability and sleep problems have the potential to reduce the risk of depression.
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Affiliation(s)
- Steven Marwaha
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK Early Intervention Service, Coventry, UK
| | - Lloyd Balbuena
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada Administrative Data Research Network Wales, Swansea University, Wales, UK
| | - Catherine Winsper
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - Rudy Bowen
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
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