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Hühne V, Dos Santos-Ribeiro S, Moreira-de-Oliveira ME, de Menezes GB, Fontenelle LF. Towards the correlates of stressful life events as precipitants of obsessive-compulsive disorder: a systematic review and metanalysis. CNS Spectr 2024:1-9. [PMID: 38685590 DOI: 10.1017/s1092852924000269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2024]
Abstract
Obsessive-compulsive disorder (OCD) is a prevalent condition with multifactorial etiology involving genetic and environmental factors. The present study aims to summarize the correlates of stressful life events (SLEs) in OCD by reviewing studies comparing OCD associated or not with SLEs before its onset. To do so, a systematic review was performed by searching PubMed, Web of Science, Scopus, and PsycINFO databases for studies published between the database's inception and November 27, 2023. Studies including individuals whose OCD was precipitated or not by SLEs (SLEs OCD and NSLEs OCD, respectively) were assessed. Effect sizes or odds ratios were then calculated to identify the strength of association between SLEs and clinical characteristics, such as gender, age of onset, family history of OCD, severity of OCD symptoms, depressive symptoms, and mood comorbidities among patients with OCD. Out of the 4083 records initially identified, 5 studies met the inclusion criteria and 3 were comparable through a meta-analysis. Notably, the analyses were limited by the small number of studies available in the literature. The meta-analysis demonstrated SLEs OCD to be associated with female gender, later OCD onset, and increased comorbidity rates with mood disorders. Despite the cross-sectional nature of the reviewed studies, women may be more vulnerable to develop a later onset of OCD following SLEs, which may also lead to mood disorders. Caution is needed to avoid prematurely classifying this presentation as a distinct subtype of OCD.
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Affiliation(s)
- Verônica Hühne
- Anxiety, Obsessions and Compulsions Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Samara Dos Santos-Ribeiro
- Anxiety, Obsessions and Compulsions Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Maria E Moreira-de-Oliveira
- Anxiety, Obsessions and Compulsions Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Gabriela B de Menezes
- Anxiety, Obsessions and Compulsions Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Leonardo F Fontenelle
- Anxiety, Obsessions and Compulsions Program, Institute of Psychiatry of the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
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2
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Segal A, Parkes L, Aquino K, Kia SM, Wolfers T, Franke B, Hoogman M, Beckmann CF, Westlye LT, Andreassen OA, Zalesky A, Harrison BJ, Davey CG, Soriano-Mas C, Cardoner N, Tiego J, Yücel M, Braganza L, Suo C, Berk M, Cotton S, Bellgrove MA, Marquand AF, Fornito A. Regional, circuit and network heterogeneity of brain abnormalities in psychiatric disorders. Nat Neurosci 2023; 26:1613-1629. [PMID: 37580620 PMCID: PMC10471501 DOI: 10.1038/s41593-023-01404-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/13/2023] [Indexed: 08/16/2023]
Abstract
The substantial individual heterogeneity that characterizes people with mental illness is often ignored by classical case-control research, which relies on group mean comparisons. Here we present a comprehensive, multiscale characterization of the heterogeneity of gray matter volume (GMV) differences in 1,294 cases diagnosed with one of six conditions (attention-deficit/hyperactivity disorder, autism spectrum disorder, bipolar disorder, depression, obsessive-compulsive disorder and schizophrenia) and 1,465 matched controls. Normative models indicated that person-specific deviations from population expectations for regional GMV were highly heterogeneous, affecting the same area in <7% of people with the same diagnosis. However, these deviations were embedded within common functional circuits and networks in up to 56% of cases. The salience-ventral attention system was implicated transdiagnostically, with other systems selectively involved in depression, bipolar disorder, schizophrenia and attention-deficit/hyperactivity disorder. Phenotypic differences between cases assigned the same diagnosis may thus arise from the heterogeneous localization of specific regional deviations, whereas phenotypic similarities may be attributable to the dysfunction of common functional circuits and networks.
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Affiliation(s)
- Ashlea Segal
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
| | - Linden Parkes
- Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychiatry, Rutgers University, Piscataway, NJ, USA
| | - Kevin Aquino
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- School of Physics, University of Sydney, Sydney, New South Wales, Australia
- BrainKey Inc, Palo alto, CA, USA
| | - Seyed Mostafa Kia
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands
| | - Thomas Wolfers
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health (TÜCMH), University of Tübingen, Tübingen, Germany
| | - Barbara Franke
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Martine Hoogman
- Department of Psychiatry, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Donders Institute of Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Centre for Functional MRI of the Brain, Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research, Division of Mental Health and Addiction, University of Oslo and Oslo University Hospital, Oslo, Norway
- KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Melbourne, Victoria, Australia
| | - Christopher G Davey
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
- Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Leah Braganza
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Chao Suo
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
- Australian Characterisation Commons at Scale (ACCS) Project, Monash eResearch Centre, Melbourne, Victoria, Australia
| | - Michael Berk
- Institute for Mental and Physical Health and Clinical Translation School of Medicine, Deakin University, Geelong, Victoria, Australia
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
- Florey Institute for Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - Sue Cotton
- Orygen, Melbourne, Victoria, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Mark A Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Andre F Marquand
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, the Netherlands
- Department of Neuroimaging, Centre of Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia.
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Tao Q, Dang J, Niu X, Gao X, Zhang M, Yang Z, Xu Y, Yu M, Cheng J, Han S, Zhang Y. White matter microstructural abnormalities and gray matter volume alterations in obsessive-compulsive disorder: A coordinate-based meta-analysis. J Affect Disord 2023; 320:751-761. [PMID: 36174788 DOI: 10.1016/j.jad.2022.09.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/10/2022] [Accepted: 09/15/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE A comprehensive meta-analysis using correlated coordinate data to explore abnormalities in white matter (WM) microarchitecture and changes in gray matter volume (GMV) in patients with obsessive-compulsive disorder (OCD). METHODS We reviewed 23 reported studies of diffusion tensor imaging (DTI) in OCD patients. The differences in WM fractional anisotropy (FA) between OCD patients and healthy controls (HCs) were investigated using tract-based spatial statistics (TBSS) and voxel-based analysis (VBA), respectively, and the results of the two methods were compared. In addition, we will explore changes in OCD GMV by analyzing studies (n = 21) using the voxel-based morphometry (VBM) approach and comparing the difference between adults and adolescents. RESULTS In the pooled meta-analysis, WM study results presented that compared with HCs, OCD patients had higher FA in right lenticular nucleus (putamen), and lower FA in corpus callosum (CC), left insula, right cerebellum (hemispheric lobule), right gyrus rectal and left inferior parietal gyri. However, in subgroup analysis, there was a significant difference in FA changes between TBSS and VBA in OCD patients compared with HCs. In addition, we found that the GMV of OCD patients was significantly increased in left striatum and left precentral gyrus, and significantly decreased in right inferior frontal gyrus triangular part, right superior temporal gyrus and right hippocampus. Compared with adolescents, adult patients have increased GMV in left lenticular nucleus putamen. CONCLUSION The meta-analysis showed that OCD patients had abnormal WM microarchitecture and altered GMV. These changes may be closely related to the pathophysiological mechanism of the disease.
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Affiliation(s)
- Qiuying Tao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Xinyu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Yinhuan Xu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Miaomiao Yu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
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Common Grey Matter Reductions in Alcohol Use and Obsessive-Compulsive Disorders: A Metanalysis. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 2:421-431. [DOI: 10.1016/j.bpsgos.2021.11.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/09/2021] [Accepted: 11/13/2021] [Indexed: 12/21/2022] Open
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Chia K, Pasalich DS, Fassnacht DB, Ali K, Kyrios M, Maclean B, Grisham JR. Interpersonal attachment, early family environment, and trauma in hoarding: A systematic review. Clin Psychol Rev 2021; 90:102096. [PMID: 34717158 DOI: 10.1016/j.cpr.2021.102096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 08/07/2021] [Accepted: 10/13/2021] [Indexed: 10/20/2022]
Abstract
The formation of intense emotional attachments to objects, difficulty parting with possessions, and the extreme accumulation of clutter are key features of Hoarding Disorder (HD). Although substantial literature implicates processes such as dysfunctional beliefs and maladaptive emotional cycles in HD, little is known about the vulnerability factors that lead to their development and hoarding symptomatology. The current review sought to systematically collate and integrate findings from studies investigating the relationship between hoarding symptoms and three proposed vulnerability factors: i) interpersonal attachment, ii) early family environment, and iii) traumatic or adverse life events. A comprehensive search of the databases PsycInfo, PubMed, and Scopus identified a total of 39 studies for inclusion. The results presented a complex pattern that supported the presence of relationships between insecure attachment, cold and controlling family experiences, and exposure to adverse life events with increased hoarding severity. However, the specificity of these factors to HD over other clinical groups remains unclear and findings are limited by the heterogenous and small number of studies. We conclude by discussing the clinical implications and limitations of these findings and propose new directions for future research.
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Affiliation(s)
- Kerryne Chia
- Research School of Psychology, The Australian National University, Canberra, Australia.
| | - Dave S Pasalich
- Research School of Psychology, The Australian National University, Canberra, Australia
| | - Daniel B Fassnacht
- Research School of Psychology, The Australian National University, Canberra, Australia; Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
| | - Kathina Ali
- Research School of Psychology, The Australian National University, Canberra, Australia; Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
| | - Michael Kyrios
- Research School of Psychology, The Australian National University, Canberra, Australia; Órama Institute for Mental Health and Wellbeing, Flinders University, Adelaide, Australia
| | - Bronte Maclean
- Research School of Psychology, The Australian National University, Canberra, Australia
| | - Jessica R Grisham
- School of Psychology, University of New South Wales, Sydney, Australia
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6
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Fontenelle LF, Destrée L, Brierley ME, Thompson EM, Yücel M, Albertella L. Are different stressful or traumatic life events related to types of obsessive-compulsive and related disorders? An online study. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2021. [DOI: 10.1016/j.jadr.2021.100170] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
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7
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Picó-Pérez M, Moreira PS, de Melo Ferreira V, Radua J, Mataix-Cols D, Sousa N, Soriano-Mas C, Morgado P. Modality-specific overlaps in brain structure and function in obsessive-compulsive disorder: Multimodal meta-analysis of case-control MRI studies. Neurosci Biobehav Rev 2020; 112:83-94. [PMID: 32006553 DOI: 10.1016/j.neubiorev.2020.01.033] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/03/2020] [Accepted: 01/27/2020] [Indexed: 10/25/2022]
Abstract
Neuroimaging research has shown that patients with obsessive-compulsive disorder (OCD) may present brain structural and functional alterations, but the results across imaging modalities and task paradigms are difficult to reconcile. Are the same brain systems that are structurally different in OCD patients also involved in executive function and emotional processing? To answer this, we conducted separate meta-analyses of voxel-based morphometry studies, executive function functional magnetic resonance imaging (fMRI) studies, and emotional processing fMRI studies. Next, with a multimodal approach (conjunction analysis), we identified the common alterations across meta-analyses. Patients presented increased gray matter volume and hyperactivation in the putamen, but the putamen subregions affected differed depending on the psychological process. Left posterior/dorsal putamen showed hyperactivation during executive processing tasks, while predominantly right anterior/ventral putamen showed hyperactivation during emotional processing tasks. Interestingly, age was significantly associated with increased right putamen volume. Finally, the left dorsolateral prefrontal cortex was hyperactive in both functional domains. Our findings highlight task-specific correlates of brain structure and function in OCD and help integrate a growing literature.
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Affiliation(s)
- Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Pedro Silva Moreira
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Vanessa de Melo Ferreira
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain
| | - David Mataix-Cols
- Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal
| | - Carles Soriano-Mas
- Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Spain.
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal.
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8
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Mattina GF, Slyepchenko A, Steiner M. Obsessive–compulsive and related disorders. HANDBOOK OF CLINICAL NEUROLOGY 2020; 175:369-386. [DOI: 10.1016/b978-0-444-64123-6.00025-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
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9
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Burunat E. Love is a physiological motivation (like hunger, thirst, sleep or sex). Med Hypotheses 2019; 129:109225. [PMID: 31371074 DOI: 10.1016/j.mehy.2019.05.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Revised: 04/17/2019] [Accepted: 05/12/2019] [Indexed: 10/26/2022]
Abstract
The multitude of terms associated with love has given rise to a false perception of love. In this paper, only maternal and romantic love are considered. Love is usually regarded as a feeling, motivation, addiction, passion, and, above all, an emotion. This confusion has consequences in the lives of human beings, leading not only to divorces, suicides, femicides but possibly also to a number of mental illnesses and suffering. Therefore, it is crucial to first clarify what is meant by emotion, motivation and love. This work aims to finally place love within the category of physiological motivations, such as hunger, thirst, sleep, or sex, on the basis that love is also essential for human survival, especially in childhood. Love is presented from an evolutionary perspective. Some other similarities between love and other physiological motivations are pointed out, such as its importance for appropriate human development, both its ontogeny and its permanence, and the long-lasting consequences of abuse and neglect. There are summarized reasons that account for this, such as the fact that physiological motivations are essential for survival and that love is an essential motivation for the survival of human offspring. Other reasons are that minimum changes in the quantity and quality of love alters development, that there can be a variety of neurophysiological and behavioural states within a motivation, and that motivations (also love) appear and change throughout development. Also, motivations and love sometimes may lead to an addictive behaviour. Finally, it is recognized that once physiological motivations (and love) appear, they become permanent. In a third section, some potential social, cultural, clinical and scientific consequences of the proposed consideration of love as a motivation are discussed. Accordingly, love's recognition as a motivation in the clinical field would imply a better understanding of its disorders and its inclusion in classifications manuals such as The Diagnostic and Statistical Manual of Mental Disorders (DSM), or in the International Classification of Diseases (ICD). Considering love as a motivation rather than an emotion could also impact the results of scientific research (an example is included). A comprehensive understanding of these questions could potentially allow for a new therapeutic approach in the treatment of mental illness, while offering an all-inclusive evolutionary explanation of cultural phenomena such as the origin and diffusion of both language and art. Love should be understood as a physiological motivation, like hunger, sleep or sex, and not as an emotion as it is commonly considered.
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Affiliation(s)
- Enrique Burunat
- School of Health Sciences/School of Psychology, Department of Clinical Psychology, Psychobiology and Methodology, University of La Laguna, P.O. Box 456, 38200 Santa Cruz de Tenerife, Canary Islands, Spain.
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10
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Moreno-Rius J. The cerebellum under stress. Front Neuroendocrinol 2019; 54:100774. [PMID: 31348932 DOI: 10.1016/j.yfrne.2019.100774] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 07/19/2019] [Accepted: 07/20/2019] [Indexed: 12/22/2022]
Abstract
Stress-related psychiatric conditions are one of the main causes of disability in developed countries. They account for a large portion of resource investment in stress-related disorders, become chronic, and remain difficult to treat. Research on the neurobehavioral effects of stress reveals how changes in certain brain areas, mediated by a number of neurochemical messengers, markedly alter behavior. The cerebellum is connected with stress-related brain areas and expresses the machinery required to process stress-related neurochemical mediators. Surprisingly, it is not regarded as a substrate of stress-related behavioral alterations, despite numerous studies that show cerebellar responsivity to stress. Therefore, this review compiles those studies and proposes a hypothesis for cerebellar function in stressful conditions, relating it to stress-induced psychopathologies. It aims to provide a clearer picture of stress-related neural circuitry and stimulate cerebellum-stress research. Consequently, it might contribute to the development of improved treatment strategies for stress-related disorders.
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Alemany-Navarro M, Costas J, Real E, Segalàs C, Bertolín S, Domènech L, Rabionet R, Carracedo Á, Menchón JM, Alonso P. Do polygenic risk and stressful life events predict pharmacological treatment response in obsessive compulsive disorder? A gene-environment interaction approach. Transl Psychiatry 2019; 9:70. [PMID: 30718812 PMCID: PMC6362161 DOI: 10.1038/s41398-019-0410-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Revised: 08/18/2018] [Accepted: 11/08/2018] [Indexed: 12/13/2022] Open
Abstract
The rate of response to pharmacological treatment in Obsessive-compulsive disorder (OCD) oscillates between 40 and 70%. Genetic and environmental factors have been associated with treatment response in OCD. This study analyzes the predictive ability of a polygenic risk score (PRS) built from OCD-risk variants, for treatment response in OCD, and the modulation role of stressful life events (SLEs) at the onset of the disorder. PRSs were calculated for a sample of 103 patients. Yale-Brown Obsessive Compulsive Scale (YBOCS) scores were obtained before and after a 12-week treatment. Regression analyses were performed to analyze the influence of the PRS and SLEs at onset on treatment response. PRS did not predict treatment response. The best predictive model for post-treatment YBOCS (post YBOCS) included basal YBOCS and age. PRS appeared as a predictor for basal and post YBOCS. SLEs at onset were not a predictor for treatment response when included in the regression model. No evidence for PRS predictive ability for treatment response was found. The best predictor for treatment response was age, agreeing with previous literature specific for SRI treatment. Suggestions are made on the possible role of neuroplasticity as a mediator on this association. PRS significantly predicted OCD severity independent on pharmacological treatment. SLE at onset modulation role was not evidenced. Further research is needed to elucidate the genetic and environmental bases of treatment response in OCD.
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Affiliation(s)
- María Alemany-Navarro
- Institut d' Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat (Barcelona), Spain. .,OCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat (Barcelona), Spain.
| | - Javier Costas
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain
| | - Eva Real
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Cinto Segalàs
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Sara Bertolín
- 0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain
| | - Laura Domènech
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Raquel Rabionet
- grid.473715.3Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003 Spain ,0000 0001 2172 2676grid.5612.0Universitat Pompeu Fabra (UPF), Barcelona, Spain ,CIBER in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Ángel Carracedo
- 0000 0000 9403 4738grid.420359.9Grupo de Xenética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde, Santiago de Compostela, Spain ,0000000109410645grid.11794.3aGrupo de Medicina Xenómica, Universidade de Santiago de Compostela, Centro Nacional de Genotipado - Instituto Carlos III, Santiago de Compostela, Spain ,0000 0004 1791 1185grid.452372.5Centro de Investigación Biomédica en Red de Enfermedades Raras, Santiago de Compostela, Spain
| | - Jose M. Menchón
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
| | - Pino Alonso
- Institut d’ Investigació Biomèdica de Bellvitge (IDIBELL), L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 8836 0780grid.411129.eOCD Clinical and Research Unit, Psychiatry Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat (Barcelona), Spain ,0000 0000 9314 1427grid.413448.eCIBERSAM (Centro de Investigación en Red de Salud Mental), Instituto de Salud Carlos III, Madrid, Spain ,0000 0004 1937 0247grid.5841.8Department of Clinical Sciences, Bellvitge Campus, University of Barcelona, Barcelona, Spain
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