1
|
Hirsch F, Bumanglag Â, Zhang Y, Wohlschlaeger A. Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.07.24306932. [PMID: 38766002 PMCID: PMC11100938 DOI: 10.1101/2024.05.07.24306932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Background Psychosis spectrum disorders (PSDs) are marked by cognitive impairments, the neurobiological correlates of which remain poorly understood. Here, we investigate the entropy of time-varying functional connectivity (TVFC) patterns from resting-state fMRI (rfMRI) as potential biomarker for cognitive performance in PSDs. By combining our results with multimodal reference data, we hope to generate new insights into the mechanisms underlying cognitive dysfunction in PSDs. We hypothesized that low-entropy TVFC patterns (LEN) would be more behaviorally informative than high-entropy TVFC patterns (HEN), especially for tasks that require extensive integration across diverse cognitive subdomains. Methods rfMRI and behavioral data from 97 patients in the early phases of psychosis and 53 controls were analyzed. Positron-Emission Tomography (PET) and magnetoencephalography (MEG) data were taken from a public repository (Hansen et al., 2022). Multivariate analyses were conducted to examine relationships between TVFC patterns at multiple spatial scales and cognitive performance in patients. Results Compared to HEN, LEN explained significantly more cognitive variance on average in PSD patients, driven by superior encoding of information on psychometrically more integrated tasks. HEN better captured information in specific subdomains of executive functioning. Nodal HEN-LEN transitions were spatially aligned with neurobiological gradients reflecting monoaminergic transporter densities and MEG beta power. Exploratory analyses revealed a close statistical relationship between LEN and positive PSD symptoms. Conclusion Our entropy-based analysis of TVFC patterns dissociates distinct aspects of cognition in PSDs. By linking topographies of neurotransmission and oscillatory dynamics with cognitive performance, it enhances our understanding of the mechanisms underlying cognitive deficits in PSDs. CRediT Authorship Contribution Statement Fabian Hirsch: Conceptualization, Methodology, Software, Formal analysis, Writing - Original Draft, Writing - Review & Editing, Visualization; Ângelo Bumanglag: Methodology, Software, Formal analysis, Writing - Review & Editing; Yifei Zhang: Methodology, Software, Formal analysis, Writing - Review & Editing; Afra Wohlschlaeger: Methodology, Writing - Review & Editing, Supervision, Project administration.
Collapse
|
2
|
Ewald VAM, Trapp NT, Sarrett ME, Pace BD, Wendt L, Richards JG, Gala IK, Miller JN, Wessel JR, Magnotta VA, Wemmie JA, Boes AD, Parker KL. Supra-second interval timing in bipolar disorder: examining the role of disorder sub-type, mood, and medication status. Int J Bipolar Disord 2023; 11:32. [PMID: 37779127 PMCID: PMC10542629 DOI: 10.1186/s40345-023-00312-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/15/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND Widely reported by bipolar disorder (BD) patients, cognitive symptoms, including deficits in executive function, memory, attention, and timing are under-studied. Work suggests that individuals with BD show impairments in interval timing tasks, including supra-second, sub-second, and implicit motor timing compared to the neuronormative population. However, how time perception differs within individuals with BD based on disorder sub-type (BDI vs II), depressed mood, or antipsychotic medication-use has not been thoroughly investigated. The present work administered a supra-second interval timing task concurrent with electroencephalography (EEG) to patients with BD and a neuronormative comparison group. As this task is known to elicit frontal theta oscillations, signal from the frontal (Fz) lead was analyzed at rest and during the task. RESULTS Results suggest that individuals with BD show impairments in supra-second interval timing and reduced frontal theta power during the task compared to neuronormative controls. However, within BD sub-groups, neither time perception nor frontal theta differed in accordance with BD sub-type, depressed mood, or antipsychotic medication use. CONCLUSIONS This work suggests that BD sub-type, depressed mood status or antipsychotic medication use does not alter timing profile or frontal theta activity. Together with previous work, these findings point to timing impairments in BD patients across a wide range of modalities and durations indicating that an altered ability to assess the passage of time may be a fundamental cognitive abnormality in BD.
Collapse
Affiliation(s)
| | - Nicholas T Trapp
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | | | - Benjamin D Pace
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
| | - Linder Wendt
- Institute for Clinical and Translational Science, The University of Iowa, Iowa City, IA, USA
| | - Jenny G Richards
- Department of Radiology, The University of Iowa, Iowa City, IA, USA
| | - Ilisa K Gala
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
| | | | - Jan R Wessel
- Department of Psychological and Brain Sciences, The University of Iowa, Iowa City, IA, USA
- Department of Neurology, The University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
- Department of Radiology, The University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
- Department of Molecular Physiology and Biophysics, The University of Iowa, Iowa City, IA, USA
- Department of Neurosurgery, The University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - Aaron D Boes
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA
- Department of Pediatrics, The University of Iowa, Iowa City, IA, USA
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA
| | - Krystal L Parker
- Department of Psychiatry, The University of Iowa, 200 Hawkins Drive W276GH, Iowa City, IA, 52242-1057, USA.
- Iowa Neuroscience Institute, The University of Iowa, Iowa City, IA, USA.
| |
Collapse
|
3
|
Ye J, Sun H, Gao S, Dadashkarimi J, Rosenblatt M, Rodriguez RX, Mehta S, Jiang R, Noble S, Westwater ML, Scheinost D. Altered Brain Dynamics Across Bipolar Disorder and Schizophrenia During Rest and Task Switching Revealed by Overlapping Brain States. Biol Psychiatry 2023; 94:580-590. [PMID: 37031780 PMCID: PMC10524212 DOI: 10.1016/j.biopsych.2023.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/27/2023] [Accepted: 03/30/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND Individuals with bipolar disorder (BD) and schizophrenia (SCZ) show aberrant brain dynamics (i.e., altered recruitment or traversal through different brain states over time). Existing investigations of brain dynamics typically assume that one dominant brain state characterizes each time point. However, as multiple brain states likely are engaged at any given moment, this approach can obscure alterations in less prominent but critical brain states. Here, we examined brain dynamics in BD and SCZ by implementing a novel framework that simultaneously assessed the engagement of multiple brain states. METHODS Four recurring brain states were identified by applying nonlinear manifold learning and k-means clustering to the Human Connectome Project task-based functional magnetic resonance imaging data. We then assessed moment-to-moment state engagement in 2 independent samples of healthy control participants and patients with BD or SCZ using resting-state (N = 336) or task-based (N = 217) functional magnetic resonance imaging data. Relative state engagement and state engagement variability were extracted and compared across groups using multivariate analysis of covariance, controlling for site, medication, age, and sex. RESULTS Our framework identified dynamic alterations in BD and SCZ, while a state discretization approach revealed no significant group differences. Participants with BD or SCZ showed reduced state engagement variability, but not relative state engagement, across multiple brain states during resting-state and task-based functional magnetic resonance imaging. We found decreased state engagement variability in older participants and preliminary evidence suggesting an association with avolition. CONCLUSIONS Assessing multiple brain states simultaneously can reflect the complexity of aberrant brain dynamics in BD and SCZ, providing a more comprehensive understanding of the neural mechanisms underpinning these conditions.
Collapse
Affiliation(s)
- Jean Ye
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.
| | - Huili Sun
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | - Siyuan Gao
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | | | - Matthew Rosenblatt
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut
| | | | - Saloni Mehta
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Rongtao Jiang
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Stephanie Noble
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Margaret L Westwater
- Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut
| | - Dustin Scheinost
- Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut; Child Study Center, Yale School of Medicine, New Haven, Connecticut; Department of Statistics and Data Science, Yale University, New Haven, Connecticut
| |
Collapse
|
4
|
Grosso C, Santos M, Barroso MF. From Plants to Psycho-Neurology: Unravelling the Therapeutic Benefits of Bioactive Compounds in Brain Disorders. Antioxidants (Basel) 2023; 12:1603. [PMID: 37627598 PMCID: PMC10451187 DOI: 10.3390/antiox12081603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 07/27/2023] [Accepted: 08/02/2023] [Indexed: 08/27/2023] Open
Abstract
The brain's sensitivity to oxidative stress and neuronal cell death requires effective pharmacotherapy approaches. Current pharmacological therapies are frequently ineffective and display negative side effects. Bioactive chemicals found in plants may provide a potential alternative due to their antioxidant and neuroprotective properties and can be used in therapy and the management of a variety of neuropsychiatric, neurodevelopmental, and neurodegenerative illnesses. Several natural products, including vitamin C, Cammelia sinensis polyphenols, Hypericum perforatum, and Crocus sativus have shown promise in lowering oxidative stress and treating symptoms of major depressive disorder (MDD). Similarly, bioactive compounds such as curcumin, luteolin, resveratrol, quercetin, and plants like Acorus gramineus, Rhodiola rosea, and Ginkgo biloba are associated with neuroprotective effects and symptom improvement in neurodevelopmental disorders such as autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (ADHD). Furthermore, in neurodegenerative diseases, natural compounds from Rhodiola rosea, Morinda lucida, and Glutinous rehmannia provide neurological improvement. Further study in clinical samples is required to thoroughly investigate the therapeutic advantages of these bioactive substances for persons suffering from these illnesses.
Collapse
Affiliation(s)
- Clara Grosso
- REQUIMTE–LAQV, Instituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal;
| | - Marlene Santos
- CISA|ESS, Centro de Investigação em Saúde e Ambiente, Escola Superior de Saúde, Polytechnic Institute of Porto, Rua Dr. António Bernardino de Almeida 400, 4200-072 Porto, Portugal;
| | - M. Fátima Barroso
- REQUIMTE–LAQV, Instituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal;
| |
Collapse
|
5
|
Rodriguez V, Alameda L, Quattrone D, Tripoli G, Gayer-Anderson C, Spinazzola E, Trotta G, Jongsma HE, Stilo S, La Cascia C, Ferraro L, La Barbera D, Lasalvia A, Tosato S, Tarricone I, Bonora E, Jamain S, Selten JP, Velthorst E, de Haan L, Llorca PM, Arrojo M, Bobes J, Bernardo M, Arango C, Kirkbride J, Jones PB, Rutten BP, Richards A, Sham PC, O'Donovan M, Van Os J, Morgan C, Di Forti M, Murray RM, Vassos E. Use of multiple polygenic risk scores for distinguishing schizophrenia-spectrum disorder and affective psychosis categories in a first-episode sample; the EU-GEI study. Psychol Med 2023; 53:3396-3405. [PMID: 35076361 PMCID: PMC10277719 DOI: 10.1017/s0033291721005456] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/05/2021] [Accepted: 12/15/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND Schizophrenia (SZ), bipolar disorder (BD) and depression (D) run in families. This susceptibility is partly due to hundreds or thousands of common genetic variants, each conferring a fractional risk. The cumulative effects of the associated variants can be summarised as a polygenic risk score (PRS). Using data from the EUropean Network of national schizophrenia networks studying Gene-Environment Interactions (EU-GEI) first episode case-control study, we aimed to test whether PRSs for three major psychiatric disorders (SZ, BD, D) and for intelligent quotient (IQ) as a neurodevelopmental proxy, can discriminate affective psychosis (AP) from schizophrenia-spectrum disorder (SSD). METHODS Participants (842 cases, 1284 controls) from 16 European EU-GEI sites were successfully genotyped following standard quality control procedures. The sample was stratified based on genomic ancestry and analyses were done only on the subsample representing the European population (573 cases, 1005 controls). Using PRS for SZ, BD, D, and IQ built from the latest available summary statistics, we performed simple or multinomial logistic regression models adjusted for 10 principal components for the different clinical comparisons. RESULTS In case-control comparisons PRS-SZ, PRS-BD and PRS-D distributed differentially across psychotic subcategories. In case-case comparisons, both PRS-SZ [odds ratio (OR) = 0.7, 95% confidence interval (CI) 0.54-0.92] and PRS-D (OR = 1.31, 95% CI 1.06-1.61) differentiated AP from SSD; and within AP categories, only PRS-SZ differentiated BD from psychotic depression (OR = 2.14, 95% CI 1.23-3.74). CONCLUSIONS Combining PRS for severe psychiatric disorders in prediction models for psychosis phenotypes can increase discriminative ability and improve our understanding of these phenotypes. Our results point towards the potential usefulness of PRSs in specific populations such as high-risk or early psychosis phases.
Collapse
Affiliation(s)
- Victoria Rodriguez
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Luis Alameda
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Instituto de Investigación Sanitaria de Sevilla, IBiS, Hospital Universitario Virgen del Rocío, Department of Psychiatry, Universidad de Sevilla, Sevilla, Spain
- Service of General Psychiatry, Treatment and Early Intervention in Psychosis Program, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Diego Quattrone
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giada Tripoli
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Edoardo Spinazzola
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Psychiatry Residency Training Program, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Giulia Trotta
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Department of Experimental Biomedicine and Clinical Neuroscience, University of Palermo, Palermo, Italy
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - Simona Stilo
- Department of Mental Health and Addiction Services, ASP Crotone, Crotone, Italy
| | - Caterina La Cascia
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Laura Ferraro
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Daniele La Barbera
- Section of Psychiatry, Department of Biomedicine, Neuroscience and advanced Diagnostic (BiND), University of Palermo, Palermo, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Ilaria Tarricone
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Science, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Elena Bonora
- Bologna Transcultural Psychosomatic Team (BoTPT), Department of Medical and Surgical Science, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Stéphane Jamain
- Neuropsychiatrie Translationnelle, INSERM, U955, Faculté de Santé, Université Paris Est, Créteil, France
| | - Jean-Paul Selten
- Rivierduinen Institute for Mental Health Care, Leiden, The Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Julio Bobes
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Oviedo, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi I Sunyer, Biomedical Research Networking Centre in Mental Health (CIBERSAM), Barcelona, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - James Kirkbride
- Psylife Group, Division of Psychiatry, University College London, London, UK
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge, UK
| | - Bart P. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Alexander Richards
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Pak C. Sham
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Genomic Sciences, Li KaShing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Michael O'Donovan
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Jim Van Os
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Craig Morgan
- Department of Health Service and Population Research, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Robin M. Murray
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College of London, London, UK
| | - Evangelos Vassos
- Social, Genetics and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| |
Collapse
|
6
|
Schofield P, Thisted Horsdal H, Das-Munshi J, Thygesen M, Pedersen C, Morgan C, Agerbo E. A comparison of neighbourhood level variation and risk factors for affective versus non-affective psychosis. Schizophr Res 2023; 256:126-132. [PMID: 35697569 PMCID: PMC10259518 DOI: 10.1016/j.schres.2022.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 01/11/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Studies typically highlight area level variation in the incidence of non-affective but not affective psychoses. We compared neighbourhood-level variation for both types of disorder, and the specific effects of neighbourhood urbanicity and ethnic density, using Danish national registry data. METHODS Population based cohort (2,224,464 people) followed from 1980 to 2013 with neighbourhood exposure measured at age 15 and incidence modelled using multilevel Poisson regression. RESULTS Neighbourhood variation was similar for both disorders with an adjusted median risk ratio of 1.37 (95% CI 1.34-1.39) for non-affective psychosis and 1.43 (1.38-1.49) for affective psychosis. Associations with neighbourhood urbanicity differed: living in the most compared to the least urban quintile at age 15 was associated with a minimal increase in subsequent affective psychosis, IRR 1.13 (1.01-1.27) but a substantial increase in rates of non-affective psychosis, IRR 1.66 (1.57-1.75). Mixed results were found for neighbourhood ethnic density: for Middle Eastern migrants there was an increased average incidence of both affective, IRR 1.54 (1.19-1.99), and non-affective psychoses, 1.13 (1.04-1.23) associated with each decrease in ethnic density quintile, with a similar pattern for African migrants, but for European migrants ethnic density appeared to be associated with non-affective psychosis only. CONCLUSIONS While overall variation and the effect of neighbourhood ethnic density were similar for both types of disorder, associations with urbanicity were largely confined to non-affective psychosis. This may reflect differences in aetiological pathways although the mechanism behind these differences remains unknown.
Collapse
Affiliation(s)
- Peter Schofield
- School of Life Course and Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London, United Kingdom.
| | - Henriette Thisted Horsdal
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; CIRRAU - Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Jayati Das-Munshi
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; South London & Maudsley NHS Trust; ESRC Centre for Society and Mental Health, Kings College London
| | - Malene Thygesen
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; CIRRAU - Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Carsten Pedersen
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; CIRRAU - Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| | - Craig Morgan
- ESRC Centre for Society and Mental Health, Kings College London; National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London
| | - Esben Agerbo
- Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark; National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark; CIRRAU - Centre for Integrated Register-based Research at Aarhus University, Aarhus, Denmark
| |
Collapse
|
7
|
Lefrere A, Auzias G, Favre P, Kaltenmark I, Houenou J, Piguet C, Polosan M, Eyler LT, Phillips ML, Versace A, Wessa M, McDonald C, Cannon DM, Brambilla P, Bellani M, Deruelle C, Belzeaux R. Global and local cortical folding alterations are associated with neurodevelopmental subtype in bipolar disorders: a sulcal pits analysis. J Affect Disord 2023; 325:224-230. [PMID: 36608853 DOI: 10.1016/j.jad.2022.12.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 11/10/2022] [Accepted: 12/31/2022] [Indexed: 01/05/2023]
Abstract
BACKGROUND Analyzing cortical folding may provide insight into the biological underpinnings of neurodevelopmental diseases. A neurodevelopmental subtype of bipolar disorders (BD-ND) has been characterized by the combination of early age of onset and psychotic features. We investigate potential cortical morphology differences associated with this subtype. We analyze, for the first time in bipolar disorders, the sulcal pits, the deepest points in each fold of the cerebral cortex. METHODS We extracted the sulcal pits from anatomical MRI among 512 participants gathered from 7 scanning sites. We compared the number of sulcal pits in each hemisphere as well as their regional occurrence and depth between the BD-ND subgroup (N = 184), a subgroup without neurodevelopmental features (BD, N = 77) and a group of healthy controls (HC, N = 251). RESULTS In whole brain analysis, BD-ND group have a higher number of sulcal pits in comparison to the BD group. The local analysis revealed, after correction for multiple testing, a higher occurrence of sulcal pits in the left premotor cortex among the BD-ND subgroup compared to the BD and the HC groups. CONCLUSION Our findings confirm that BD-ND is associated with a specific brain morphology revealed by the analysis of sulcal pits. These markers may help to better understand neurodevelopment in mood disorder and stratify patients according to a pathophysiological hypothesis.
Collapse
Affiliation(s)
- Antoine Lefrere
- Department of Psychiatry Sainte Marguerite Hospital, Assistance Publique Hôpitaux de Marseille, 13009 Marseille, France; Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France
| | - Guillaume Auzias
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Pauline Favre
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | | | - Josselin Houenou
- Fondation Fondamental, Créteil, France; Paris Saclay University, UNIACT, Eq. Psychiatry, NeuroSpin, CEA Saclay, Gif-sur-Yvette, France; Paris Est University, INSERM U955, Eq. Neuropsychiatrie Translationnelle, Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires Mondor, DMU IMPACT de Psychiatrie et d'Addictologie, Créteil, France
| | - Camille Piguet
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Switzerland
| | - Mircea Polosan
- Grenoble Alpes University, Inserm U1216 Grenoble Institute of Neuroscience, CHU Grenoble Alpes, Grenoble, France
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA; Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Amelia Versace
- University of Pittsburgh Medical Center, University of Pittsburgh
| | - Michèle Wessa
- Department of Clinical Psychology and Neuropsychology, Johannes Gutenberg University, Mainz, Germany
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Dara M Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, H91 TK33, Galway, Ireland
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - Christine Deruelle
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Raoul Belzeaux
- Institut de Neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France; Fondation Fondamental, Créteil, France; Pôle Universitaire de Psychiatrie, CHU de Montpellier, France.
| |
Collapse
|
8
|
Bora E, Verim B, Akgul O, Ildız A, Ceylan D, Alptekin K, Özerdem A, Akdede BB. Clinical and developmental characteristics of cognitive subgroups in a transdiagnostic sample of schizophrenia spectrum disorders and bipolar disorder. Eur Neuropsychopharmacol 2023; 68:47-56. [PMID: 36640733 DOI: 10.1016/j.euroneuro.2022.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023]
Abstract
Evidence suggests that neurocognitive dysfunction is a transdiagnostic feature of individuals across the continuum between schizophrenia and bipolar disorder. However, there is significant heterogeneity of neuropsychological and social-cognitive abilities in schizophrenia, schizoaffective disorder, and bipolar disorder. The current study aimed to investigate the clinical and developmental characteristics of cognitive subgroups within the schizo-bipolar spectrum. 147 clinically stable patients with schizophrenia, schizoaffective or bipolar disorder were assessed using clinical rating scales for current psychotic and affective symptoms, and a comprehensive neuropsychological battery including measures of social cognition (Hinting and Reading the mind from the Eyes (RMET) task)). Developmental history and premorbid academic functioning were also evaluated. The study also included 36 healthy controls. Neurocognitive subgroups were investigated using latent class analysis (LCA). The optimal number of clusters was determined based on the Bayesian information criterion. A logistic regression analysis was conducted to investigate the predictors of membership to the globally impaired subgroup. LCA revealed two neurocognitive clusters including globally impaired (n = 89, 60.5%) and near-normal cognitive functioning (n = 58, 39.5%) subgroups. The near-normal cognitive functioning subgroup was not significantly different from healthy controls. The globally impaired subgroup had a higher score of developmental abnormalities (p<0.001), poorer premorbid academic functioning, mothers who were less educated and more severe disorganized speech (p = 0.001) and negative symptoms (p = 0.004) compared to the near-normal cognitive functioning group. History of developmental abnormalities and persistent disorganization rather than diagnosis are significant predictors of the subgroup of individuals with global cognitive impairment in the schizophrenia-bipolar disorder continuum.
Collapse
Affiliation(s)
- Emre Bora
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria 3053, Australia; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey.
| | - Burcu Verim
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Ozge Akgul
- Department of Psychology, İzmir Demokrasi University, İzmir, Turkey
| | - Ayşegül Ildız
- Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Deniz Ceylan
- Department of Psychiatry and Psychology, Koc University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| | - Ayşegül Özerdem
- Department of Psychiatry and Psychology, Mayo Clinic Depression Center, Mayo Clinic, Rochester, MN, USA
| | - Berna Binnur Akdede
- Department of Psychiatry, Faculty of Medicine, Izmir, Turkey; Department of Neurosciences, Health Sciences Institute, Dokuz Eylül University, Izmir, Turkey
| |
Collapse
|
9
|
Steffensen NL, Hemager N, Bundgaard AF, Gantriis DL, Burton BK, Ellersgaard D, Carlsen AH, Bliksted V, Plessen KJ, Jepsen JRM, Nordentoft M, Thorup AAE, Mors O, Greve AN. Affective lability in parents with schizophrenia or bipolar disorder and their co-parents - The Danish High Risk and Resilience Study VIA 7. Psychiatry Res 2023; 321:115092. [PMID: 36773417 DOI: 10.1016/j.psychres.2023.115092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/07/2023]
Abstract
In bipolar disorder, dysregulation of affect is a core feature while knowledge on affective lability in schizophrenia is sparse. Research on affective lability in partners to individuals with schizophrenia or bipolar disorder is also lacking. The objective of this study was to investigate affective lability in parents with schizophrenia or bipolar disorder, and their co-parents without these disorders. The Danish High Risk and Resilience Study - VIA 7 is a population-based cohort study. This study focuses on parents diagnosed with schizophrenia (n = 148), their co-parents (n = 157), parents with bipolar disorder (n = 98), their co-parents (n = 89) and control parents (n = 359). The Affective Lability Scale - short form (ALS-SF) was used to measure affective lability. We found significantly higher levels of affective lability in parents with schizophrenia and bipolar disorder compared with controls, but no significant differences between bipolar disorder and schizophrenia. Co-parents to parents with schizophrenia had significantly higher levels of affective lability compared to controls. Our results add to the existing knowledge concerning underlying transdiagnostic factors and nonrandom mating in schizophrenia and bipolar disorder and highlight the need for studies of parental affective lability as a potential risk factor for offspring in families with parental schizophrenia or bipolar disorder.
Collapse
Affiliation(s)
- Nanna Lawaetz Steffensen
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen University Hospital, Kildegaardsvej 28, building 15, 4th, Hellerup 2900, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Gentofte, Hospitalsvej 3A, 1st floor, Hellerup 2900, Denmark
| | - Anette Faurskov Bundgaard
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Ditte Lou Gantriis
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Birgitte Klee Burton
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Gentofte, Hospitalsvej 3A, 1st floor, Hellerup 2900, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen N 2200, Denmark; Department of Child and Adolescent Psychiatry, Copenhagen University Hospital - Psychiatry Region Zealand, Roskilde, Denmark
| | - Ditte Ellersgaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen University Hospital, Kildegaardsvej 28, building 15, 4th, Hellerup 2900, Denmark
| | | | - Vibeke Bliksted
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Department of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, Aarhus N 8200, Denmark
| | - Kerstin J Plessen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Gentofte, Hospitalsvej 3A, 1st floor, Hellerup 2900, Denmark; Division of Child and Adolescent Psychiatry, Department of Psychiatry, University Hospital Lausanne and University of Lausanne, Switzerland
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen University Hospital, Kildegaardsvej 28, building 15, 4th, Hellerup 2900, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Gentofte, Hospitalsvej 3A, 1st floor, Hellerup 2900, Denmark; Centre for Neuropsychiatric Schizophrenia Research & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, Copenhagen University Hospital, Ndr. Ringvej 29-67, Glostrup 2600, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Copenhagen Research Centre for Mental Health (CORE), Mental Health Centre Copenhagen, Copenhagen University Hospital, Kildegaardsvej 28, building 15, 4th, Hellerup 2900, Denmark
| | - Anne A E Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Child and Adolescent Mental Health Centre, Mental Health Services Capital Region, Research Unit, Copenhagen University Hospital, Gentofte, Hospitalsvej 3A, 1st floor, Hellerup 2900, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, Copenhagen N 2200, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
| | - Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Denmark; The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark; Department of Clinical Medicine, Faculty of Health, Aarhus University, Palle Juul-Jensens Boulevard 82, Aarhus N 8200, Denmark.
| |
Collapse
|
10
|
Corponi F, Lefrere A, Leboyer M, Bellivier F, Godin O, Loftus J, Courtet P, Dubertret C, Haffen E, Llorca PM, Roux P, Polosan M, Schwan R, Samalin L, Olié E, Etain B, Seriès P, Belzeaux R. Definition of early age at onset in bipolar disorder according to distinctive neurodevelopmental pathways: insights from the FACE-BD study. Psychol Med 2023; 53:1-9. [PMID: 36852971 DOI: 10.1017/s003329172300020x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
BACKGROUND Converging evidence suggests that a subgroup of bipolar disorder (BD) with an early age at onset (AAO) may develop from aberrant neurodevelopment. However, the definition of early AAO remains unprecise. We thus tested which age cut-off for early AAO best corresponds to distinguishable neurodevelopmental pathways. METHODS We analyzed data from the FondaMental Advanced Center of Expertise-Bipolar Disorder cohort, a naturalistic sample of 4421 patients. First, a supervised learning framework was applied in binary classification experiments using neurodevelopmental history to predict early AAO, defined either with Gaussian mixture models (GMM) clustering or with each of the different cut-offs in the range 14 to 25 years. Second, an unsupervised learning approach was used to find clusters based on neurodevelopmental factors and to examine the overlap between such data-driven groups and definitions of early AAO used for supervised learning. RESULTS A young cut-off, i.e. 14 up to 16 years, induced higher separability [mean nested cross-validation test AUROC = 0.7327 (± 0.0169) for ⩽16 years]. Predictive performance deteriorated increasing the cut-off or setting early AAO with GMM. Similarly, defining early AAO below 17 years was associated with a higher degree of overlap with data-driven clusters (Normalized Mutual Information = 0.41 for ⩽17 years) relatively to other definitions. CONCLUSIONS Early AAO best captures distinctive neurodevelopmental patterns when defined as ⩽17 years. GMM-based definition of early AAO falls short of mapping to highly distinguishable neurodevelopmental pathways. These results should be used to improve patients' stratification in future studies of BD pathophysiology and biomarkers.
Collapse
Affiliation(s)
- Filippo Corponi
- School of Informatics, University of Edinburgh, Edinburgh, UK
| | - Antoine Lefrere
- Assistance Publique Hôpitaux de Marseille, Pôle de Psychiatrie, Marseille, France
- Fondation FondaMental, Créteil, France
- Institut de neurosciences de la Timone UMR 7289, Aix-Marseille Université & CNRS, Marseille, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France
- Assistance publique des hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Département Médico-Universitaire de Psychiatrie et d'Addictologie (DMU IMPACT), Fédération Hospitalo-Universitaire de Médecine de Précision en Psychiatrie (FHU ADAPT), Créteil, France
- Translational NeuroPsychiatry Laboratory, Université Paris Est Créteil (UPEC), INSERM U955, IMRB, Paris, France
| | - Frank Bellivier
- Fondation FondaMental, Créteil, France
- Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
- Assistance publique des Hôpitaux de Paris, Groupe Hospitalo-universitaire AP-HP Nord, Hôpital Lariboisière, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Ophelia Godin
- Fondation FondaMental, Créteil, France
- Translational NeuroPsychiatry Laboratory, Université Paris Est Créteil (UPEC), INSERM U955, IMRB, Paris, France
| | - Josephine Loftus
- Fondation FondaMental, Créteil, France
- Pôle de Psychiatrie, Centre Hospitalier Princesse Grace, France, Monaco
| | - Philippe Courtet
- Fondation FondaMental, Créteil, France
- IGF, Univ. Montpellier France, CNRS, INSERM, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - Caroline Dubertret
- Fondation FondaMental, Créteil, France
- Assistance publique des hôpitaux de Paris, Groupe Hospitalo-universitaire AP-HP Nord, DMU ESPRIT, Service de Psychiatrie et Addictologie, Hôpital Louis Mourier, Colombes, France
- Université de Paris, Inserm UMR1266, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
| | - Emmanuel Haffen
- Fondation FondaMental, Créteil, France
- Service de Psychiatrie, CIC-1431 INSERM, CHU de Besançon, France
- UR481 Neurosciences, UFC, Besançon, France
| | - Pierre Michel Llorca
- Fondation FondaMental, Créteil, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, UMR 6602 Institut Pascal (IP), Clermont-Ferrand, France
| | - Paul Roux
- Centre Hospitalier de Versailles, Service Universitaire de Psychiatrie d'adulte et d'addictologie, Le Chesnay, France
- DisAP-DevPsy-CESP, INSERM UMR1018, Université de Versailles Saint-Quentin-En-Yvelines, Université Paris-Saclay, Villejuif, France
| | - Mircea Polosan
- Fondation FondaMental, Créteil, France
- Grenoble Alpes University, Inserm U1216 Grenoble Institute of Neuroscience, CHU Grenoble Alpes, Grenoble, France
| | - Raymund Schwan
- Fondation FondaMental, Créteil, France
- Université de Lorraine, Centre Psychothérapique de Nancy, Inserm U1254, Nancy, France
| | - Ludovic Samalin
- Fondation FondaMental, Créteil, France
- CHU Clermont-Ferrand, Department of Psychiatry, University of Clermont Auvergne, UMR 6602 Institut Pascal (IP), Clermont-Ferrand, France
| | - Emilie Olié
- Fondation FondaMental, Créteil, France
- IGF, Univ. Montpellier France, CNRS, INSERM, Montpellier, France
- Department of Emergency Psychiatry and Acute Care, Lapeyronie Hospital, CHU Montpellier, Montpellier, France
| | - Bruno Etain
- Fondation FondaMental, Créteil, France
- Université de Paris, INSERM UMR-S 1144, Optimisation Thérapeutique en Neuropsychopharmacologie OTeN, Paris, France
- Assistance publique des Hôpitaux de Paris, Groupe Hospitalo-universitaire AP-HP Nord, DMU Neurosciences, Hôpital Fernand Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Peggy Seriès
- School of Informatics, University of Edinburgh, Edinburgh, UK
| | - Raoul Belzeaux
- Pôle Universitaire de Psychiatrie, CHU de Montpellier, France
| |
Collapse
|
11
|
Shang MY, Zhang CY, Wu Y, Wang L, Wang C, Li M. Genetic associations between bipolar disorder and brain structural phenotypes. Cereb Cortex 2023:7024717. [PMID: 36734292 DOI: 10.1093/cercor/bhad014] [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: 01/12/2023] [Accepted: 01/13/2023] [Indexed: 02/04/2023] Open
Abstract
Patients with bipolar disorder (BD) and their first-degree relatives exhibit alterations in brain volume and cortical structure, whereas the underlying genetic mechanisms remain unclear. In this study, based on the published genome-wide association studies (GWAS), the extent of polygenic overlap between BD and 15 brain structural phenotypes was investigated using linkage disequilibrium score regression and MiXeR tool, and the shared genomic loci were discovered by conjunctional false discovery rate (conjFDR) and expression quantitative trait loci (eQTL) analyses. MiXeR estimated the overall measure of polygenic overlap between BD and brain structural phenotypes as 4-53% on a 0-100% scale (as quantified by the Dice coefficient). Subsequent conjFDR analyses identified 54 independent loci (71 risk single-nucleotide polymorphisms) jointly associated with BD and brain structural phenotypes with a conjFDR < 0.05, among which 33 were novel that had not been reported in the previous BD GWAS. Follow-up eQTL analyses in respective brain regions both confirmed well-known risk genes (e.g. CACNA1C, NEK4, GNL3, MAPK3) and discovered novel risk genes (e.g. LIMK2 and CAMK2N2). This study indicates a substantial shared genetic basis between BD and brain structural phenotypes, and provides novel insights into the developmental origin of BD and related biological mechanisms.
Collapse
Affiliation(s)
- Meng-Yuan Shang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Chu-Yi Zhang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Yong Wu
- Research Center for Mental Health and Neuroscience, Wuhan Mental Health Center, No. 920 Jianshe Road, Wuhan, 430012, Hubei, China
| | - Lu Wang
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| | - Chuang Wang
- Zhejiang Key Laboratory of Pathophysiology, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China.,School of Basic Medical Science, School of Medicine, Ningbo University, 818 Fenghua Road, Ningbo, 315211, Zhejiang, China
| | - Ming Li
- Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, No. 17 Long-Xin Lu, Kunming, 650201, Yunnan, China
| |
Collapse
|
12
|
Yilmaz S, Öner P. Low α-N-acetylgalactosaminidase plasma concentration correlates with the presence and severity of the bipolar affective disorder. World J Biol Psychiatry 2023; 24:187-194. [PMID: 36102137 DOI: 10.1080/15622975.2022.2124451] [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: 10/14/2022]
Abstract
OBJECTIVES Believing that a neurodevelopmental pathology may cause bipolar affective disorder (BAD), we aimed to measure the concentrations of α-N-acetylgalactosaminidase (α-NAGAL), a lysosomal enzyme. METHODS The study included 32 patients with BAD and 32 healthy controls. The Young Mania Rating Scale was used to measure the severity of the disease. Serum α-N-acetylgalactosaminidase concentrations were measured in all blood samples using the human α-N-acetylgalactosaminidase ELISA Kit. RESULTS A statistically significant difference was found in the α-NAGAL values between the groups. The mean α-NAGAL values of BAD patients are lower than the mean α-NAGAL values of the control group. A strong negative and statistically significant relationship was found between the α-NAGAL values of patients with BAD and their Young Mania Rating Scale scores. And a positive strong correlation was found between the age of onset of the disease and α-NAGAL levels. CONCLUSIONS Low α-N-acetylgalactosaminidase concentrations may cause the accumulation of some glycoproteins in the lysosomes in the brain during the gestational period, producing the clinical symptoms of BAD. α-N-acetylgalactosaminidase deficiency may not be the only cause of BAD, but it may be an important factor in the aetiology of this disease.
Collapse
Affiliation(s)
| | - Pınar Öner
- Elaziğ Fethi Sekin City Hospital, Elaziğ, Turkey
| |
Collapse
|
13
|
Krantz MF, Hjorthøj C, Ellersgaard D, Hemager N, Christiani C, Spang KS, Burton BK, Gregersen M, Søndergaard A, Greve A, Ohland J, Mortensen PB, Plessen KJ, Bliksted V, Jepsen JRM, Thorup AAE, Mors O, Nordentoft M. Examining selection bias in a population-based cohort study of 522 children with familial high risk of schizophrenia or bipolar disorder, and controls: The Danish High Risk and Resilience Study VIA 7. Soc Psychiatry Psychiatr Epidemiol 2023; 58:113-140. [PMID: 36087138 DOI: 10.1007/s00127-022-02338-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Accepted: 07/08/2022] [Indexed: 01/20/2023]
Abstract
PURPOSE Knowledge about representativity of familial high-risk studies of schizophrenia and bipolar disorder is essential to generalize study conclusions. The Danish High Risk and Resilience Study (VIA 7), a population-based case-control familial high-risk study, creates a unique opportunity for combining assessment and register data to examine cohort representativity. METHODS Through national registers, we identified the population of 11,959 children of parents with schizophrenia (FHR-SZ) or bipolar disorder (FHR-BP) and controls from which the 522 children participating in The VIA 7 Study (202 FHR-SZ, 120 FHR-BP and 200 controls) were selected. Socio-economic and health data were obtained to compare high-risk groups and controls, and participants versus non-participants. Selection bias impact on results was analyzed through inverse probability weights. RESULTS In the total sample of 11,959 children, FHR-SZ and FHR-BP children had more socio-economic and health disadvantages than controls (p < 0.001 for most). VIA 7 non-participants had a poorer function, e.g. more paternal somatic and mental illness (p = 0.02 and p = 0.04 for FHR-SZ), notifications of concern (FHR-BP and PBC p < 0.001), placements out of home (p = 0.03 for FHR-SZ), and lower level of education (p ≤ 0.01 for maternal FHR-SZ and FHR-BP, p = 0.001 for paternal FHR-BP). Inverse probability weighted analyses of results generated from the VIA Study showed minor changes in study findings after adjustment for the found selection bias. CONCLUSIONS Familial high-risk families have multiple socio-economic and health disadvantages. In The VIA 7 Study, although comparable regarding mental illness severity after their child's birth, socioeconomic and health disadvantages are more profound amongst non-participants than amongst participants.
Collapse
Affiliation(s)
- Mette Falkenberg Krantz
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark. .,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark. .,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.
| | - Carsten Hjorthøj
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - Ditte Ellersgaard
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Nicoline Hemager
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Camilla Christiani
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Katrine Søborg Spang
- Research Unit at Child and Adolescent Mental Health Center Copenhagen, Gentofte Hospitalsvej 3A, opg. 3A, 1. sal, 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Birgitte Klee Burton
- Research Unit at Child and Adolescent Mental Health Center Copenhagen, Gentofte Hospitalsvej 3A, opg. 3A, 1. sal, 2900, Hellerup, Denmark
| | - Maja Gregersen
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Anne Søndergaard
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Aja Greve
- iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,The Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Palle Juul-Jensens Boulevard 175, Aarhus N, 8200, Arhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Palle Juul-Jensens Boulevard 82, Aarhus N, 8200, Arhus, Denmark
| | - Jessica Ohland
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Preben Bo Mortensen
- iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,Department of Economics and Business Economics, National Centre for Register-Based Research, Aarhus University, Fuglesangs Allé 26, Bygning R2640-R2641, Aarhus V, 8210, Arhus, Denmark
| | - Kerstin Jessica Plessen
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,Division of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, Avenue d'Echallens 9, 1004, Lausanne, Switzerland
| | - Vibeke Bliksted
- iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,The Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Palle Juul-Jensens Boulevard 175, Aarhus N, 8200, Arhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Palle Juul-Jensens Boulevard 82, Aarhus N, 8200, Arhus, Denmark
| | - Jens Richardt Møllegaard Jepsen
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Research Unit at Child and Adolescent Mental Health Center Copenhagen, Gentofte Hospitalsvej 3A, opg. 3A, 1. sal, 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,Mental Health Services, Capital Region of Denmark, Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Nordstjernevej 41, 2600, Glostrup, Denmark
| | - Anne A E Thorup
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,Research Unit at Child and Adolescent Mental Health Center Copenhagen, Gentofte Hospitalsvej 3A, opg. 3A, 1. sal, 2900, Hellerup, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| | - Ole Mors
- iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark.,The Psychosis Research Unit, Aarhus University Hospital, Psychiatry, Palle Juul-Jensens Boulevard 175, Aarhus N, 8200, Arhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Services, Aarhus University, Palle Juul-Jensens Boulevard 82, Aarhus N, 8200, Arhus, Denmark
| | - Merete Nordentoft
- CORE- Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, The Danish High Risk and Resilience Study VIA 7 and VIA 11, Capital Region of Denmark, Copenhagen University Hospital, Gentofte Hospitalsvej 15, opg. 15, 1. Sal., 2900, Hellerup, Denmark.,Faculty of Health and Medical Sciences, Institute of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.,iPSYCH -The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Fuglesangs Allé 26, Aarhus N, 8210, Arhus, Denmark
| |
Collapse
|
14
|
Ahn J, Jeong H, Seo BG, Park KS, Hwangbo C, Kim HG, Koh JS, Kim J. Genome-wide association study for vascular aging highlights pathways shared with cardiovascular traits in Koreans. Front Cardiovasc Med 2022; 9:1058308. [PMID: 36620623 PMCID: PMC9813851 DOI: 10.3389/fcvm.2022.1058308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
Vascular aging plays a pivotal role in the morbidity and mortality of older people. Reactive hyperemia index (RHI) detected by pulse amplitude tonometry (PAT) is a non-invasive measure of vascular endothelial function and aging-induced pathogenesis of both microvascular and macrovascular diseases. We conducted a genome-wide association study (GWAS) to comprehensively identify germline genetic variants associated with vascular aging in a Korean population, which revealed 60 suggestive genes underlying angiogenesis, inflammatory response in blood vessels, and cardiovascular diseases. Subsequently, we show that putative protective alleles were significantly enriched in an independent population with decelerated vascular aging phenotypes. Finally, we show the differential mRNA expression levels of putative causal genes in aging human primary endothelial cells via quantitative real-time polymerase chain reaction (PCR). These results highlight the potential contribution of genetic variants in the etiology of vascular aging and may suggest the link between vascular aging and cardiovascular traits.
Collapse
Affiliation(s)
- JaeKyoung Ahn
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, Republic of Korea,Institute of Agriculture and Life Sciences, Gyeongsang National University, Jinju, Republic of Korea
| | - Hankyeol Jeong
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, Republic of Korea,Institute of Agriculture and Life Sciences, Gyeongsang National University, Jinju, Republic of Korea
| | - Bo-Gyeong Seo
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, Republic of Korea,Division of Life Science, College of National Sciences, Gyeongsang National University, Jinju, Republic of Korea
| | - Ki-Soo Park
- Department of Preventive Medicine, College of Medicine and Institute of Health Science, Gyeongsang National University, Jinju, Republic of Korea,Center for Farmer’s Safety and Health, Gyeongsang National University Hospital, Jinju, Republic of Korea
| | - Cheol Hwangbo
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, Republic of Korea,Division of Life Science, College of National Sciences, Gyeongsang National University, Jinju, Republic of Korea
| | - Han-Gyul Kim
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Republic of Korea
| | - Jin-Sin Koh
- Department of Internal Medicine, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Republic of Korea,*Correspondence: Jin-Sin Koh,
| | - Jaemin Kim
- Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju, Republic of Korea,Institute of Agriculture and Life Sciences, Gyeongsang National University, Jinju, Republic of Korea,Jaemin Kim,
| |
Collapse
|
15
|
Rootes-Murdy K, Edmond JT, Jiang W, Rahaman MA, Chen J, Perrone-Bizzozero NI, Calhoun VD, van Erp TGM, Ehrlich S, Agartz I, Jönsson EG, Andreassen OA, Westlye LT, Wang L, Pearlson GD, Glahn DC, Hong E, Buchanan RW, Kochunov P, Voineskos A, Malhotra A, Tamminga CA, Liu J, Turner JA. Clinical and cortical similarities identified between bipolar disorder I and schizophrenia: A multivariate approach. Front Hum Neurosci 2022; 16:1001692. [PMID: 36438633 PMCID: PMC9684186 DOI: 10.3389/fnhum.2022.1001692] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 10/17/2022] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Structural neuroimaging studies have identified similarities in the brains of individuals diagnosed with schizophrenia (SZ) and bipolar I disorder (BP), with overlap in regions of gray matter (GM) deficits between the two disorders. Recent studies have also shown that the symptom phenotypes associated with SZ and BP may allow for a more precise categorization than the current diagnostic criteria. In this study, we sought to identify GM alterations that were unique to each disorder and whether those alterations were also related to unique symptom profiles. MATERIALS AND METHODS We analyzed the GM patterns and clinical symptom presentations using independent component analysis (ICA), hierarchical clustering, and n-way biclustering in a large (N ∼ 3,000), merged dataset of neuroimaging data from healthy volunteers (HV), and individuals with either SZ or BP. RESULTS Component A showed a SZ and BP < HV GM pattern in the bilateral insula and cingulate gyrus. Component B showed a SZ and BP < HV GM pattern in the cerebellum and vermis. There were no significant differences between diagnostic groups in these components. Component C showed a SZ < HV and BP GM pattern bilaterally in the temporal poles. Hierarchical clustering of the PANSS scores and the ICA components did not yield new subgroups. N-way biclustering identified three unique subgroups of individuals within the sample that mapped onto different combinations of ICA components and symptom profiles categorized by the PANSS but no distinct diagnostic group differences. CONCLUSION These multivariate results show that diagnostic boundaries are not clearly related to structural differences or distinct symptom profiles. Our findings add support that (1) BP tend to have less severe symptom profiles when compared to SZ on the PANSS without a clear distinction, and (2) all the gray matter alterations follow the pattern of SZ < BP < HV without a clear distinction between SZ and BP.
Collapse
Affiliation(s)
- Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jesse T. Edmond
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Medical School, Zhongda Hospital, Institute of Psychosomatics, Southeast University, Nanjing, China
| | - Md A. Rahaman
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jiayu Chen
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | | | - Vince D. Calhoun
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Theo G. M. van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, United States
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Ingrid Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Erik G. Jönsson
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institute and Stockholm Health Care Services, Stockholm, Sweden
| | - Ole A. Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Lars T. Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, Oslo University Hospital, University of Oslo, Oslo, Norway
- K. G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Lei Wang
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
| | - Godfrey D. Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, United States
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
| | - David C. Glahn
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT, United States
- Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Elliot Hong
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Robert W. Buchanan
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Peter Kochunov
- Department of Psychiatry, Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Aristotle Voineskos
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Anil Malhotra
- Division of Psychiatry Research, Zucker Hillside Hospital, Queens, NY, United States
| | - Carol A. Tamminga
- Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, United States
| | - Jingyu Liu
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Georgia State University, Emory University, Atlanta, GA, United States
| | - Jessica A. Turner
- Psychiatry and Behavioral Health, Ohio State Wexner Medical Center, Columbus, OH, United States
| |
Collapse
|
16
|
Oraki Kohshour M, Kannaiyan NR, Falk AJ, Papiol S, Heilbronner U, Budde M, Kalman JL, Schulte EC, Rietschel M, Witt S, Forstner AJ, Heilmann-Heimbach S, Nöthen MM, Spitzer C, Malchow B, Müller T, Wiltfang J, Falkai P, Schmitt A, Rossner MJ, Nilsson P, Schulze TG. Comparative serum proteomic analysis of a selected protein panel in individuals with schizophrenia and bipolar disorder and the impact of genetic risk burden on serum proteomic profiles. Transl Psychiatry 2022; 12:471. [PMID: 36351892 PMCID: PMC9646817 DOI: 10.1038/s41398-022-02228-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 11/11/2022] Open
Abstract
The diagnostic criteria for schizophrenia (SCZ) and bipolar disorder (BD) are based on clinical assessments of symptoms. In this pilot study, we applied high-throughput antibody-based protein profiling to serum samples of healthy controls and individuals with SCZ and BD with the aim of identifying differentially expressed proteins in these disorders. Moreover, we explored the influence of polygenic burden for SCZ and BD on the serum levels of these proteins. Serum samples from 113 individuals with SCZ and 125 with BD from the PsyCourse Study and from 44 healthy controls were analyzed by using a set of 155 antibodies in an antibody-based assay targeting a selected panel of 95 proteins. For the cases, genotyping and imputation were conducted for DNA samples and SCZ and BD polygenic risk scores (PRS) were calculated. Univariate linear and logistic models were used for association analyses. The comparison between SCZ and BD revealed two serum proteins that were significantly elevated in BD after multiple testing adjustment: "complement C9" and "Interleukin 1 Receptor Accessory Protein". Moreover, the first principal component of variance in the proteomics dataset differed significantly between SCZ and BD. After multiple testing correction, SCZ-PRS, BD-PRS, and SCZ-vs-BD-PRS were not significantly associated with the levels of the individual proteins or the values of the proteome principal components indicating no detectable genetic effects. Overall, our findings contribute to the evidence suggesting that the analysis of circulating proteins could lead to the identification of distinctive biomarkers for SCZ and BD. Our investigation warrants replication in large-scale studies to confirm these findings.
Collapse
Affiliation(s)
- Mojtaba Oraki Kohshour
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.411230.50000 0000 9296 6873Department of Immunology, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Nirmal R. Kannaiyan
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - August Jernbom Falk
- grid.5037.10000000121581746Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Sergi Papiol
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Urs Heilbronner
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Monika Budde
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Janos L. Kalman
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ,grid.419548.50000 0000 9497 5095International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Max Planck Institute of Psychiatry, Munich, Germany
| | - Eva C. Schulte
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Marcella Rietschel
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stephanie Witt
- grid.7700.00000 0001 2190 4373Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas J. Forstner
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Stefanie Heilmann-Heimbach
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Markus M. Nöthen
- grid.10388.320000 0001 2240 3300Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Carsten Spitzer
- grid.413108.f0000 0000 9737 0454Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Rostock, Rostock, Germany
| | - Berend Malchow
- grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
| | - Thorsten Müller
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany
| | - Jens Wiltfang
- grid.411984.10000 0001 0482 5331Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany ,grid.424247.30000 0004 0438 0426German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany ,grid.7311.40000000123236065iBiMED, Medical Sciences Department, University of Aveiro, Aveiro, Portugal
| | - Peter Falkai
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Andrea Schmitt
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany ,grid.11899.380000 0004 1937 0722Laboratory of Neuroscience (LIM27), Institute of Psychiatry, University of Sao Paulo, São Paulo, SP Brazil
| | - Moritz J. Rossner
- grid.5252.00000 0004 1936 973XDepartment of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany
| | - Peter Nilsson
- grid.5037.10000000121581746Department of Protein Science, SciLifeLab, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Thomas G. Schulze
- grid.5252.00000 0004 1936 973XInstitute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU Munich, Munich, Germany ,grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY USA ,grid.21107.350000 0001 2171 9311Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
| |
Collapse
|
17
|
Gyllenberg D, Ristikari T, Kelleher I, Kääriälä A, Gissler M. School performance and later diagnoses of nonaffective psychoses, bipolar disorder, and depression. Acta Psychiatr Scand 2022; 146:420-429. [PMID: 35876770 PMCID: PMC9804878 DOI: 10.1111/acps.13481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 03/30/2022] [Accepted: 07/12/2022] [Indexed: 01/29/2023]
Abstract
OBJECTIVE It is unclear whether there are differences between specific school subject performance and later psychiatric disorders. We examined whether mean grade point average (MGPA) and specific school subjects associated with diagnoses of nonaffective psychoses, bipolar disorder and depression. METHODS In this register-based study, we studied the Finnish population born in 1987 who had available MGPA and six specific school grades (age = 15.4-16.4 years; n = 50,508). Grades were analyzed with smoothing splines. Covariates included sex, urbanicity, parental education level and parental diagnosed psychiatric disorders. Outcomes were incident nonaffective psychosis, bipolar disorder and depression diagnosed in specialized services until year 2015 (age = 28.0-28.9 years). RESULTS During the follow-up, 727 individuals were diagnosed with nonaffective psychoses, 489 with bipolar disorder and 3492 with depression. MGPA was inversely associated with all outcomes. In multivariate models including specific school subjects and covariates, the school subject with largest risk ratios (RR) was Physical Education (RR and Bonferroni-corrected confidence interval [CI] at -1.5 SD: nonaffective psychoses 1.63, 1.36-1.95; bipolar disorder 1.64, 1.30-2.05; depression 1.72, 1.53-1.93). Higher grades in Art were associated with nonaffective psychoses and depression (RR and Bonferroni-corrected CI at +1.5 SD: nonaffective psychoses 1.48, 1.11-1.96; depression 1.22, 1.07-1.38). CONCLUSION There was a robust association between poorer scores on Physical Education and risk for psychosis, bipolar disorder and depression. Higher grades in Art were also associated with risk for later disorders. Subject specific school performance may be more informative about mental disorder risk than overall school performance.
Collapse
Affiliation(s)
- David Gyllenberg
- Department of Child Psychiatry and INVEST Research Flagship CenterUniversity of Turku and Turku University HospitalTurkuFinland,Department of Adolescent PsychiatryUniversity of Helsinki and Helsinki University Central HospitalHelsinkiFinland,Finnish Institute of Health and WelfareHelsinkiFinland
| | - Tiina Ristikari
- Finnish Institute of Health and WelfareHelsinkiFinland,Itla Children's FoundationHelsinkiFinland
| | - Ian Kelleher
- Department of PsychiatryRoyal College of Surgeons in IrelandDublinIreland,Lucena ClinicDublinIreland
| | | | - Mika Gissler
- Finnish Institute of Health and WelfareHelsinkiFinland
| |
Collapse
|
18
|
Asgharian P, Quispe C, Herrera-Bravo J, Sabernavaei M, Hosseini K, Forouhandeh H, Ebrahimi T, Sharafi-Badr P, Tarhriz V, Soofiyani SR, Helon P, Rajkovic J, Durna Daştan S, Docea AO, Sharifi-Rad J, Calina D, Koch W, Cho WC. Pharmacological effects and therapeutic potential of natural compounds in neuropsychiatric disorders: An update. Front Pharmacol 2022; 13:926607. [PMID: 36188551 PMCID: PMC9521271 DOI: 10.3389/fphar.2022.926607] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
Neuropsychiatric diseases are a group of disorders that cause significant morbidity and disability. The symptoms of psychiatric disorders include anxiety, depression, eating disorders, autism spectrum disorders (ASD), attention-deficit/hyperactivity disorder, and conduct disorder. Various medicinal plants are frequently used as therapeutics in traditional medicine in different parts of the world. Nowadays, using medicinal plants as an alternative medication has been considered due to their biological safety. Despite the wide range of medications, many patients are unable to tolerate the side effects and eventually lose their response. By considering the therapeutic advantages of medicinal plants in the case of side effects, patients may prefer to use them instead of chemical drugs. Today, the use of medicinal plants in traditional medicine is diverse and increasing, and these plants are a precious heritage for humanity. Investigation about traditional medicine continues, and several studies have indicated the basic pharmacology and clinical efficacy of herbal medicine. In this article, we discuss five of the most important and common psychiatric illnesses investigated in various studies along with conventional therapies and their pharmacological therapies. For this comprehensive review, data were obtained from electronic databases such as MedLine/PubMed, Science Direct, Web of Science, EMBASE, DynaMed Plus, ScienceDirect, and TRIP database. Preclinical pharmacology studies have confirmed that some bioactive compounds may have beneficial therapeutic effects in some common psychiatric disorders. The mechanisms of action of the analyzed biocompounds are presented in detail. The bioactive compounds analyzed in this review are promising phytochemicals for adjuvant and complementary drug candidates in the pharmacotherapy of neuropsychiatric diseases. Although comparative studies have been carefully reviewed in the preclinical pharmacology field, no clinical studies have been found to confirm the efficacy of herbal medicines compared to FDA-approved medicines for the treatment of mental disorders. Therefore, future clinical studies are needed to accelerate the potential use of natural compounds in the management of these diseases.
Collapse
Affiliation(s)
- Parina Asgharian
- Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Cristina Quispe
- Facultad de Ciencias de la Salud, Universidad Arturo Prat, Iquique, Chile
| | - Jesús Herrera-Bravo
- Departamento de Ciencias Básicas, Facultad de Ciencias, Universidad Santo Tomas, Santo Tomas, Chile
- Center of Molecular Biology and Pharmacogenetics, Scientific and Technological Bioresource Nucleus, Universidad de La Frontera, Temuco, Chile
| | - Mahsa Sabernavaei
- Department of Pharmacognosy and Pharmaceutical Biotechnology, School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran
| | - Kamran Hosseini
- Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Molecular Medicine, Faculty of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Haleh Forouhandeh
- Infectious and Tropical Diseases Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Tahereh Ebrahimi
- Infectious and Tropical Diseases Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Paria Sharafi-Badr
- Department of Pharmacognosy, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahideh Tarhriz
- Infectious and Tropical Diseases Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - Saiedeh Razi Soofiyani
- Infectious and Tropical Diseases Research Center, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran
- Clinical Research Development Unit of Sina Educational, Research and Treatment Center, Tabriz University of Medical Sciences, Tabriz, Iran
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - Paweł Helon
- Branch in Sandomierz, Jan Kochanowski University of Kielce, Sandomierz, Poland
| | - Jovana Rajkovic
- Medical Faculty, Institute of Pharmacology, Clinical Pharmacology and Toxicology, University of Belgrade, Belgrade, Serbia
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - Sevgi Durna Daştan
- Department of Biology, Faculty of Science, Sivas Cumhuriyet University, Sivas, Turkey
- Beekeeping Development Application and Research Center, Sivas Cumhuriyet University, Sivas, Turkey
| | - Anca Oana Docea
- Department of Toxicology, University of Medicine and Pharmacy of Craiova, Craiova, Romania
| | - Javad Sharifi-Rad
- Facultad de Medicina, Universidad del Azuay, Cuenca, Ecuador
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - Daniela Calina
- Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, Romania
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - Wojciech Koch
- Department of Food and Nutrition, Medical University of Lublin, Lublin, Poland
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| | - William C. Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong SAR, China
- *Correspondence: Vahideh Tarhriz, ; Saiedeh Razi Soofiyani, ; Jovana Rajkovic, ; Javad Sharifi-Rad, ; Daniela Calina, ; Wojciech Koch, ; William C. Cho,
| |
Collapse
|
19
|
Gregersen M, Søndergaard A, Brandt JM, Ellersgaard D, Rohd SB, Hjorthøj C, Ohland J, Krantz MF, Wilms M, Andreassen AK, Knudsen CB, Veddum L, Greve A, Bliksted V, Mors O, Clemmensen L, Møllegaard Jepsen JR, Nordentoft M, Hemager N, Thorup AAE. Mental disorders in preadolescent children at familial high-risk of schizophrenia or bipolar disorder - a four-year follow-up study: The Danish High Risk and Resilience Study, VIA 11: The Danish High Risk and Resilience Study, VIA 11. J Child Psychol Psychiatry 2022; 63:1046-1056. [PMID: 34918345 DOI: 10.1111/jcpp.13548] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/27/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND Children at familial high-risk of schizophrenia and bipolar disorder have an elevated prevalence of mental disorders but studies of children within a narrow age range are lacking and there are few conjoint studies of these two groups. Knowledge on their mental health is important for prevention and early intervention. METHODS The authors examined mental disorders and global functioning in children at familial high-risk of schizophrenia (FHR-SZ) and bipolar disorder (FHR-BP) compared with population-based controls. In a longitudinal cohort study, 450 children (FHR-SZ, n = 171; FHR-BP, n = 104; controls, n = 175), were assessed for Axis I disorders at baseline and four-year follow-up (mean age 11.9, SD 0.2) with the Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children and for global functioning with Children's Global Assessment Scale. RESULTS Cumulative incidence of Any Axis I disorder was elevated by age 11 in children at FHR-SZ (54.4%, OR 3.0, 95% CI 1.9-4.7, p < .001) and children at FHR-BP (52.9%, OR 2.8, 95% CI 1.7-4.7, p < .001) compared with controls (28.6%). Children at FHR-SZ and FHR-BP had higher rates of affective disorders (OR 4.4, 95% CI 1.4-13.5, p = .009; OR 5.1, 95% CI 1.6-16.4, p = .007), anxiety disorders (OR 2.1, 95% CI 1.1-4.0, p = .02; OR 3.0, 95% CI 1.5-6.1, p = .002), and stress and adjustment disorders (OR 3.3, 95% CI 1.4-7.5, p = .006; OR 5.3, 95% CI 2.2-12.4, p < .001). Disruptive behavior disorders (OR 2.8, 95% CI 1.0-7.3, p = .04) and ADHD (OR 2.9, 95% CI 1.6-5.3, p < .001) were elevated in children at FHR-SZ. Both FHR groups had lower global functioning than controls. Cumulative incidence of disorders increased equally across the three groups from early childhood to preadolescence and level of functioning did not change differentially. CONCLUSIONS Children at FHR-SZ and FHR-BP have an elevated prevalence of mental disorders and poorer functioning than controls. Vulnerability in children at FHR manifests early and remains stable throughout childhood. Early attention toward their mental health and identification of those in need of intervention is warranted.
Collapse
Affiliation(s)
- Maja Gregersen
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Søndergaard
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Julie Marie Brandt
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ditte Ellersgaard
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Sinnika Birkehøj Rohd
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Carsten Hjorthøj
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Jessica Ohland
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Mette Falkenberg Krantz
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Martin Wilms
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark
| | - Anna Krogh Andreassen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Christina Bruun Knudsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Lotte Veddum
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Aja Greve
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Vibeke Bliksted
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Ole Mors
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark.,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Lars Clemmensen
- Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Merete Nordentoft
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nicoline Hemager
- CORE-Copenhagen Research Center for Mental Health, Mental Health Center Copenhagen, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark.,The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research-iPSYCH, Aarhus, Denmark.,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Child and Adolescent Mental Health Center, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| |
Collapse
|
20
|
Timakum T, Song M, Kim G. Integrated entitymetrics analysis for health information on bipolar disorder using social media data and scientific literature. ASLIB J INFORM MANAG 2022. [DOI: 10.1108/ajim-02-2022-0090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThis study aimed to examine the mental health information entities and associations between the biomedical, psychological and social domains of bipolar disorder (BD) by analyzing social media data and scientific literature.Design/methodology/approachReddit posts and full-text papers from PubMed Central (PMC) were collected. The text analysis was used to create a psychological dictionary. The text mining tools were applied to extract BD entities and their relationships in the datasets using a dictionary- and rule-based approach. Lastly, social network analysis and visualization were employed to view the associations.FindingsMental health information on the drug side effects entity was detected frequently in both datasets. In the affective category, the most frequent entities were “depressed” and “severe” in the social media and PMC data, respectively. The social and personal concerns entities that related to friends, family, self-attitude and economy were found repeatedly in the Reddit data. The relationships between the biomedical and psychological processes, “afraid” and “Lithium” and “schizophrenia” and “suicidal,” were identified often in the social media and PMC data, respectively.Originality/valueMental health information has been increasingly sought-after, and BD is a mental illness with complicated factors in the clinical picture. This paper has made an original contribution to comprehending the biological, psychological and social factors of BD. Importantly, these results have highlighted the benefit of mental health informatics that can be analyzed in the laboratory and social media domains.
Collapse
|
21
|
Knudsen CB, Hemager N, Greve AN, Lambek R, Andreassen AK, Veddum L, Brandt JM, Gregersen M, Krantz MF, Søndergaard A, Steffensen NL, Birk M, Stadsgaard HB, Ohland J, Burton BK, Jepsen JRM, Thorup AAE, Nordentoft M, Mors O, Bliksted VF. Neurocognitive Development in Children at Familial High Risk of Schizophrenia or Bipolar Disorder. JAMA Psychiatry 2022; 79:589-599. [PMID: 35385060 PMCID: PMC8988021 DOI: 10.1001/jamapsychiatry.2022.0465] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Neurocognitive impairments exist in children at familial high risk (FHR) of schizophrenia and bipolar disorder. Studies on preadolescent developmental courses of neurocognition are important to describe shared and distinct neurodevelopmental pathways in these groups. OBJECTIVE To assess the development in specific neurocognitive functions from age 7 to 11 years in children at FHR of schizophrenia or bipolar disorder compared with children in a population-based control (PBC) group. DESIGN, SETTING, AND PARTICIPANTS The Danish High Risk and Resilience Study is a prospective, longitudinal, cohort study that collected data from January 1, 2013, to January 31, 2016 (phase 1), and from March 1, 2017, to June 30, 2020 (phase 2). Data were collected at 2 university hospitals in Denmark, and participants included 520 children at FHR of schizophrenia or bipolar disorder along with a PBC group matched with the group of children at FHR of schizophrenia by age, sex, and municipality. EXPOSURES Parental schizophrenia, bipolar disorder, or neither. MAIN OUTCOMES AND MEASURES Neurocognitive functioning was assessed with validated tests of intelligence, processing speed, attention, memory, verbal fluency, and executive functioning. Multilevel mixed-effects linear regression models with maximum likelihood estimation were used to estimate neurocognitive development from age 7 to 11 years. RESULTS At 4-year follow-up, a total of 451 children (mean [SD] age; 11.9 [0.2] years; 208 girls [46.1%]) underwent neurocognitive testing. There were a total of 170 children at FHR of schizophrenia (mean [SD] age, 12.0 [0.3]; 81 girls [47.7%]), 103 children at FHR of bipolar disorder (mean [SD] age, 11.9 [0.2] years; 45 girls [43.7%]), and 178 children in the PBC group (mean [SD] age, 11.9 [0.2] years; 82 girls [46.1%]). At either age 7 or 11 years or at both assessments, 520 children participated in the neurocognitive assessment and were therefore included in the analyses. When correcting for multiple comparisons, no statistically significant time × group interactions were observed across the 3 groups. Compared with the PBC group at 4-year follow-up, children at FHR of schizophrenia showed significant neurocognitive impairment in 7 of 24 neurocognitive measures (29.2%; Cohen d range, 0.29-0.37). Compared with children at FHR of bipolar disorder, children at FHR of schizophrenia had significant neurocognitive impairment in 5 of 24 measures (20.8%; Cohen d range, 0.29-0.38). Children at FHR of bipolar disorder and those in the PBC group did not differ significantly. CONCLUSIONS AND RELEVANCE In this cohort study, findings suggest that neurocognitive maturation was comparable across groups of children at FHR of schizophrenia or bipolar disorder compared with PBCs from age 7 to 11 years. Compared with the PBC group, children at FHR of schizophrenia demonstrated widespread, stable, neurocognitive impairments during this period, whereas children at FHR of bipolar disorder showed no neurocognitive impairments, which may indicate distinct neurodevelopmental pathways in children at FHR of schizophrenia and bipolar disorder.
Collapse
Affiliation(s)
- Christina Bruun Knudsen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Nicoline Hemager
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark
| | - Aja Neergaard Greve
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Rikke Lambek
- Department of Psychology and Behavioral Sciences, Aarhus University, Aarhus, Denmark
| | - Anna Krogh Andreassen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Lotte Veddum
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| | - Julie Marie Brandt
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maja Gregersen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mette Falkenberg Krantz
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark
| | - Anne Søndergaard
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nanna Lawaetz Steffensen
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Merete Birk
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | | | - Jessica Ohland
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark
| | - Birgitte Klee Burton
- Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens Richardt Møllegaard Jepsen
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research and Center for Neuropsychiatric Schizophrenia Research, Mental Health Center, Glostrup, Copenhagen University Hospital–Mental Health Services CPH, Copenhagen, Denmark
| | - Anne Amalie Elgaard Thorup
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Child and Adolescent Mental Health Center, Copenhagen University Hospital–Mental Health Services, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Nordentoft
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Copenhagen Research Centre for Mental Health, Mental Health Services in the Capital Region of Denmark, Mental Health Centre Copenhagen, Copenhagen, Denmark,Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ole Mors
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark
| | - Vibeke Fuglsang Bliksted
- Psychosis Research Unit, Aarhus University Hospital–Psychiatry, Aarhus, Denmark,The Lundbeck Foundation Initiative for Integrative Psychiatric Research–iPSYCH, Aarhus, Denmark,Department of Clinical Medicine, Faculty of Health and Medical Sciences, Aarhus University, Aarhus, Denmark
| |
Collapse
|
22
|
Zanelli J, Reichenberg A, Sandin S, Morgan C, Dazzan P, Pilecka I, Marques TR, Morgan K, Young AH, Mollon J. Dynamic and Static Cognitive Deficits in Schizophrenia and Bipolar Disorder After the First Episode. Schizophr Bull 2022; 48:590-598. [PMID: 35064259 PMCID: PMC9077411 DOI: 10.1093/schbul/sbab150] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Few studies have comprehensively examined the profile of cognitive functioning in first episode psychosis patients throughout the lifespan, and from first episode to chronic stage. We assessed functioning in general and specific cognitive functions, comparing both schizophrenia (N = 64) and bipolar I (N = 19) patients to controls (N = 103). Participants were from a population-based, case-control study of first episode psychosis patients, who were followed prospectively up to 10 years post first admission. A cognitive battery was administered at baseline and follow-up. By combining longitudinal and cross-sectional data, we were able to examine the cognitive profile of patients and controls throughout the entire age range of our sample (16-65). Schizophrenia patients exhibited widespread declines in IQ, executive function, visual memory, language ability, and verbal knowledge. However, the ages at which these declines occurred differed between functions. Deficits in verbal memory, working memory, processing speed, and visuospatial ability, on the other hand, were present at the first episode, and remained relatively static thereafter. Bipolar I patients also showed declines in IQ, verbal knowledge, and language ability, albeit at different ages to schizophrenia patients and only in verbal functions. Deficits on measures of verbal memory, processing speed, and executive function remained relatively static. Thus, both schizophrenia and bipolar I patients experienced cognitive decline in general and specific functions after the first episode, but the age at which these declines occurred differed between disorder and function. Cognitive remediation efforts may be most fruitful when targeting individual functions during specific time periods throughout adulthood.
Collapse
Affiliation(s)
- Jolanta Zanelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Abraham Reichenberg
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sven Sandin
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden
| | - Craig Morgan
- Centre for Public Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Izabela Pilecka
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Kevin Morgan
- Department of Psychology, University of Westminster, London, UK
| | - Allan H Young
- Centre for Public Mental Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Josephine Mollon
- Department of Psychiatry, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
23
|
de Zwarte SMC, Brouwer RM, Kahn RS, van Haren NEM. Schizophrenia and Bipolar Polygenic Risk Scores in Relation to Intracranial Volume. Genes (Basel) 2022; 13:genes13040695. [PMID: 35456501 PMCID: PMC9026378 DOI: 10.3390/genes13040695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/24/2022] [Accepted: 04/08/2022] [Indexed: 01/27/2023] Open
Abstract
Schizophrenia and bipolar disorder are neurodevelopmental disorders with overlapping symptoms and a shared genetic background. Deviations in intracranial volume (ICV)—a marker for neurodevelopment—differ between schizophrenia and bipolar disorder. Here, we investigated whether genetic risk for schizophrenia and bipolar disorder is related to ICV in the general population by using the UK Biobank data (n = 20,196). Polygenic risk scores for schizophrenia (SZ-PRS) and bipolar disorder (BD-PRS) were computed for 12 genome wide association study P-value thresholds (PT) for each individual and correlations with ICV were investigated. Partial correlations were performed at each PT to investigate whether disease specific genetic risk variants for schizophrenia and bipolar disorder show different relationships with ICV. ICV showed a negative correlation with SZ-PRS at PT ≥ 0.005 (r < −0.02, p < 0.005). ICV was not associated with BD-PRS; however, a positive correlation between BD-PRS and ICV at PT = 0.2 and PT = 0.4 (r = +0.02, p < 0.005) appeared when the genetic overlap between schizophrenia and bipolar disorder was accounted for. Despite small effect sizes, a higher load of schizophrenia risk genes is associated with a smaller ICV in the general population, while risk genes specific for bipolar disorder are correlated with a larger ICV. These findings suggest that schizophrenia and bipolar disorder risk genes, when accounting for the genetic overlap between both disorders, have opposite effects on early brain development.
Collapse
Affiliation(s)
- Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (R.M.B.); (R.S.K.)
- Correspondence: (S.M.C.d.Z.); (N.E.M.v.H.)
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (R.M.B.); (R.S.K.)
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - René S. Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, 3584 CG Utrecht, The Netherlands; (R.M.B.); (R.S.K.)
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- VISN 2 Mental Illness Research, Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre Sophia, 3000 CB Rotterdam, The Netherlands
- Correspondence: (S.M.C.d.Z.); (N.E.M.v.H.)
| |
Collapse
|
24
|
The Kraepelian concept of schizophrenia: Dying but not yet dead. Schizophr Res 2022; 242:102-105. [PMID: 34952779 DOI: 10.1016/j.schres.2021.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 12/05/2021] [Accepted: 12/06/2021] [Indexed: 12/16/2022]
|
25
|
Luttenbacher I, Phillips A, Kazemi R, Hadipour AL, Sanghvi I, Martinez J, Adamson MM. Transdiagnostic role of glutamate and white matter damage in neuropsychiatric disorders: A Systematic Review. J Psychiatr Res 2022; 147:324-348. [PMID: 35151030 DOI: 10.1016/j.jpsychires.2021.12.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/08/2021] [Accepted: 12/19/2021] [Indexed: 12/09/2022]
Abstract
Neuropsychiatric disorders including generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) have been considered distinct categories of diseases despite their overlapping characteristics and symptomatology. We aimed to provide an in-depth review elucidating the role of glutamate/Glx and white matter (WM) abnormalities in these disorders from a transdiagnostic perspective. The PubMed online database was searched for studies published between 2010 and 2021. After careful screening, 401 studies were included. The findings point to decreased levels of glutamate in the Anterior Cingulate Cortex in both SZ and BD, whereas Glx is elevated in the Hippocampus in SZ and MDD. With regard to WM abnormalities, the Corpus Callosum and superior Longitudinal Fascicle were the most consistently identified brain regions showing decreased fractional anisotropy (FA) across all the reviewed disorders, except GAD. Additionally, the Uncinate Fasciculus displayed decreased FA in all disorders, except OCD. Decreased FA was also found in the inferior Longitudinal Fasciculus, inferior Fronto-Occipital Fasciculus, Thalamic Radiation, and Corona Radiata in SZ, BD, and MDD. Decreased FA in the Fornix and Corticospinal Tract were found in BD and SZ patients. The Cingulum and Anterior Limb of Internal Capsule exhibited decreased FA in MDD and SZ patients. The results suggest a gradual increase in severity from GAD to SZ defined by the number of brain regions with WM abnormality which may be partially caused by abnormal glutamate levels. WM damage could thus be considered a potential marker of some of the main neuropsychiatric disorders.
Collapse
Affiliation(s)
- Ines Luttenbacher
- Department of Social & Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands; Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Angela Phillips
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kazemi
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
| | - Isha Sanghvi
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neuroscience, University of Southern California, Los Angeles, CA, USA
| | - Julian Martinez
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto University, Palo Alto, CA, USA
| | - Maheen M Adamson
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|
26
|
El Nagar Z, El Shahawi HH, Effat SM, El Sheikh MM, Adel A, Ibrahim YA, Aufa OM. Single episode brief psychotic disorder versus bipolar disorder: A diffusion tensor imaging and executive functions study. Schizophr Res Cogn 2022; 27:100214. [PMID: 34557386 PMCID: PMC8446778 DOI: 10.1016/j.scog.2021.100214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite fast progress in neuroscientific approaches, the neurobiological continuum links psychotic spectrum, and affective disorder is obscure. White matter WM abnormalities found utilizing Diffusion Tensor Imaging (DTI) showing impaired communication in both disorders have been consistently demonstrated; however, direct comparisons of findings between them are scarce. This study aims to study WM abnormalities in single episode bipolar I disorder, and single episode brief psychotic disorder related to healthy control with the association of executive function. METHODS A cross-sectional case-control study was used to assess 60 subjects divided into 20 patients with single episode bipolar I disorder, 20 individuals with single episode brief psychotic disorder (both groups of patients were in remission), and 20 healthy controls. The present study examined the superior longitudinal fasciculus (SLF), and cingulum bundle fractional anisotropy (FA) determined from DTI images symmetrically and connected these results with cognitive functions as assessed by the trail making test (TMT) and Wisconsin card sorting test (WCST). RESULTS DTI data indicated that the psychotic group had a significant decrease in FA of the right SLF (p-value less than 0.001), left SLF (p-value less than 0.001), and left cingulum (p-value less than 0.001) than the bipolar I group. In terms of executive functioning, the psychotic group performed significantly worse than the bipolar I group on the TMT part B (p-value less than 0.001), the WCST (number of classifications fulfilled) (p-value less than 0.001), and perseverative errors (p-value less than 0.001). CONCLUSION Even after clinical remission, individuals with single episode brief psychotic disorder had more pronounced white matter impairments and executive function deficiencies than individuals with single episode bipolar I disorder.
Collapse
Affiliation(s)
- Zeinab El Nagar
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Heba H. El Shahawi
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Safeya M. Effat
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mona M. El Sheikh
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmed Adel
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Yosra A. Ibrahim
- Radiology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ola M. Aufa
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| |
Collapse
|
27
|
The efficacy of cariprazine on cognition: a post hoc analysis from phase II/III clinical trials in bipolar mania, bipolar depression, and schizophrenia. CNS Spectr 2022; 28:319-330. [PMID: 35193729 DOI: 10.1017/s109285292200013x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To investigate the effect of cariprazine on cognitive symptom change across bipolar I disorder and schizophrenia. METHODS Post hoc analyses of 3- to 8-week pivotal studies in bipolar I depression and mania were conducted; one schizophrenia trial including the Cognitive Drug Research System attention battery was also analyzed. Outcomes of interest: Montgomery-Åsberg Depression Rating Scale [MADRS], Functioning Assessment Short Test [FAST], Positive and Negative Syndrome Scale [PANSS]). LSMDs in change from baseline to end of study were reported in the overall intent-to-treat population and in patient subsets with specified levels of baseline cognitive symptoms or performance. RESULTS In patients with bipolar depression and at least mild cognitive symptoms, LSMDs were statistically significant for cariprazine vs placebo on MADRS item 6 (3 studies; 1.5 mg=-0.5 [P<.001]; 3 mg/d=-0.2 [P<.05]) and on the FAST Cognitive subscale (1 study; 1.5 mg/d=-1.4; P=.0039). In patients with bipolar mania and at least mild cognitive symptoms, the LSMD in PANSS Cognitive subscale score was statistically significant for cariprazine vs placebo (3 studies; -2.1; P=.001). In patients with schizophrenia and high cognitive impairment, improvement in power of attention was observed for cariprazine 3 mg/d vs placebo (P=.0080), but not for cariprazine 6 mg/d; improvement in continuity of attention was observed for cariprazine 3 mg/d (P=.0012) and 6 mg/d (P=.0073). CONCLUSION These post hoc analyses provide preliminary evidence of greater improvements for cariprazine vs placebo across cognitive measures in patients with bipolar I depression and mania, and schizophrenia, suggesting potential benefits for cariprazine in treating cognitive symptoms.
Collapse
|
28
|
Sideli L, Schimmenti A, La Barbera D, La Cascia C, Ferraro L, Aas M, Alameda L, Velthorst E, Fisher HL, Caretti V, Trotta G, Tripoli G, Quattrone D, Gayer-Anderson C, Seminerio F, Sartorio C, Marrazzo G, Lasalvia A, Tosato S, Tarricone I, Berardi D, D’Andrea G, Arango C, Arrojo M, Bernardo M, Bobes J, Sanjuán J, Santos JL, Menezes PR, Del-Ben CM, Jongsma HE, Jones PB, Kirkbride JB, Llorca PM, Tortelli A, Pignon B, de Haan L, Selten JP, Van Os J, Rutten BP, Di Forti M, Morgan C, Murray RM. Childhood Maltreatment, Educational Attainment, and IQ: Findings From a Multicentric Case-control Study of First-episode Psychosis (EU-GEI). Schizophr Bull 2022; 48:575-589. [PMID: 35137235 PMCID: PMC9077421 DOI: 10.1093/schbul/sbac004] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
BACKGROUND AND HYPOTHESIS Evidence suggests that childhood maltreatment (ie, childhood abuse and childhood neglect) affects educational attainment and cognition. However, the association between childhood maltreatment and Intelligence Quotient (IQ) seems stronger among controls compared to people with psychosis. We hypothesised that: the association between childhood maltreatment and poor cognition would be stronger among community controls than among people with first-episode of psychosis (FEP); compared to abuse, neglect would show stronger associations with educational attainment and cognition; the association between childhood maltreatment and IQ would be partially accounted for by other risk factors; and the association between childhood maltreatment, educational attainment, and IQ would be stronger among patients with affective psychoses compared to those with nonaffective psychoses. STUDY DESIGN 829 patients with FEP and 1283 community controls from 16 EU-GEI sites were assessed for child maltreatment, education attainment, and IQ. STUDY RESULTS In both the FEP and control group, childhood maltreatment was associated with lower educational attainment. The association between childhood maltreatment and lower IQ was robust to adjustment for confounders only among controls. Whereas childhood neglect was consistently associated with lower attainment and IQ in both groups, childhood abuse was associated with IQ only in controls. Among both patients with affective and nonaffective psychoses, negative associations between childhood maltreatment and educational attainment were observed, but the crude association with IQ was only evident in affective psychoses. CONCLUSIONS Our findings underscore the role of childhood maltreatment in shaping academic outcomes and cognition of people with FEP as well as controls.
Collapse
Affiliation(s)
- Lucia Sideli
- To whom correspondence should be addressed; Department of Human Science, LUMSA University, Piazza delle Vaschette, 101 – 00193 Rome, Italy; tel: +39 06 684 221, e-mail:
| | - Adriano Schimmenti
- Faculty of Human and Social Sciences, UKE - Kore University of Enna, Enna, Italy
| | - Daniele La Barbera
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Caterina La Cascia
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Laura Ferraro
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Monica Aas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England,NORMENT, Centre for Research On Mental Disorders, Oslo University Hospital and University of Oslo, Norway,Department of Mental Health Research and Development, Division of Mental Health and Addiction, Vestre Viken Hospital Trust, Norway
| | - Luis Alameda
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England,Departamento de Psiquiatria, Centro Investigacion Biomedica en Red de Salud Mental (CIBERSAM), Instituto de Biomedicina de Sevilla (IBIS), Hospital Universitario Virgen del Rocio, Universidad de Sevilla, Sevilla, Spain
| | - Eva Velthorst
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA,Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, USA,Early Psychosis Section, Department of Psychiatry, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Helen L Fisher
- King’s College London, Social, Genetic, & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, England,ESRC Centre for Society and Mental Health, King’s College London, London, UK
| | | | - Giulia Trotta
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England,Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Diego Quattrone
- King’s College London, Social, Genetic, & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, England
| | - Charlotte Gayer-Anderson
- King’s College London, Social, Genetic, & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, England,Department of Health Services and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England
| | - Fabio Seminerio
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Crocettarachele Sartorio
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Giovanna Marrazzo
- Department of Biomedicine, Neuroscience, and Advanced Diagnostic, University of Palermo, Palermo, Italy
| | - Antonio Lasalvia
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences, Alma Mater Studiorum - Bologna University, Italy
| | - Domenico Berardi
- Department of Biomedical and NeuroMotor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Giuseppe D’Andrea
- Department of Biomedical and NeuroMotor Sciences, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, ISGM, CIBERSAM, Madrid, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de
Santiago de Compostela, Santiago, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Department of Medicine, Neuroscience Institute, University of Barcelona, Institut d’Investigacions Biomèdiques, August Pi I Sunyer, Centro de Investigación Biomédica en Red de Salud Mental, Barcelona, Spain
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, Universidad de Oviedo, ISPA, INEUROPA, CIBERSAM, Oviedo, Spain
| | - Julio Sanjuán
- Department of Psychiatry, Centro de Investigación Biomédica en Red de Salud Mental, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Jose Luis Santos
- Department of Psychiatry, Hospital “Virgen de la Luz”, Cuenca, Spain
| | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Cristina Marta Del-Ben
- Division of Psychiatry, Department of Neuroscience and Behaviour, Ribeirão Preto Medical School, Universidade de São Paulo, São Paulo, Brazil
| | - Hannah E Jongsma
- PsyLife Group, Division of Psychiatry, University College London, London, England,Department of Psychiatry, University of Cambridge, Cambridge, England
| | - Peter B Jones
- CAMEO Early Intervention Service, Cambridgeshire and Peterborough National Health Service Foundation Trust, Cambridge, England,EA 7280 Npsydo, Université Clermont Auvergne, Clermont-Ferrand, France
| | - James B Kirkbride
- PsyLife Group, Division of Psychiatry, University College London, London, England
| | | | - Andrea Tortelli
- Establissement Public de Santé, Maison Blanche, Paris, France
| | - Baptiste Pignon
- AP-HP, Groupe Hospitalier “Mondor,” Pôle de Psychiatrie, Créteil, France,Institut National de la Santé et de la Recherche Médicale, U955, Créteil, France,Fondation Fondamental, Créteil, France
| | - Lieuwe de Haan
- Early Psychosis Section, Department of Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jean-Paul Selten
- Institute for Mental Health, GGZ Rivierduinen, Leiden, The Netherlands,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jim Van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands,Department Psychiatry, Utrecht University Medical Centre, Utrecht, The Netherlands
| | - Bart P Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marta Di Forti
- King’s College London, Social, Genetic, & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, London, England
| | - Craig Morgan
- ESRC Centre for Society and Mental Health, King’s College London, London, UK,Department of Health Services and Population Research, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, England
| | | |
Collapse
|
29
|
Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro‐de‐Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng L, Alda M, Almeida J, Alnæs D, Alonso‐Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, del Mar Bonnin C, Brambilla P, Canales‐Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz‐Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives‐Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López‐Jaramillo C, Machado‐Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda‐Zapata JA, Poletti S, Polosan M, Pomarol‐Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein DJ, Tamnes CK, Thomaidis GV, Upegui CV, Veltman DJ, Wessa M, Westlye LT, Whalley HC, Wolf DH, Wu M, Yatham LN, Zarate CA, Thompson PM, Andreassen OA. What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group. Hum Brain Mapp 2022; 43:56-82. [PMID: 32725849 PMCID: PMC8675426 DOI: 10.1002/hbm.25098] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 05/31/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
Collapse
Affiliation(s)
- Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | | | - Tiril P. Gurholt
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Abraham Nunes
- Department of PsychiatryDalhousie UniversityHalifaxNova ScotiaCanada
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Christoph Abé
- Faculty of Computer ScienceDalhousie UniversityHalifaxNova ScotiaCanada
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Center for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Rachel M. Brouwer
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health SciencesNational University of Ireland GalwayGalwayIreland
| | - Sonja M. C. de Zwarte
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Lisa T. Eyler
- Department of PsychiatryUniversity of CaliforniaLa JollaCaliforniaUSA
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
| | - Pauline Favre
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
| | - Tomas Hajek
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- National Institute of Mental HealthKlecanyCzech Republic
| | - Unn K. Haukvik
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
| | - Josselin Houenou
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
- Neurospin, CEA Paris‐Saclay, team UNIACTGif‐sur‐YvetteFrance
- APHPMondor University Hospitals, DMU IMPACTCréteilFrance
| | - Mikael Landén
- Department of Neuroscience and PhysiologyUniversity of GothenburgGothenburgSweden
- Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
| | - Tristram A. Lett
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
- Department of Neurology with Experimental NeurologyCharité Universitätsmedizin BerlinBerlinGermany
| | - Colm McDonald
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Leila Nabulsi
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Yash Patel
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
| | - Melissa E. Pauling
- Desert‐Pacific MIRECCVA San Diego HealthcareSan DiegoCaliforniaUSA
- INSERM U955, team 15 “Translational Neuro‐Psychiatry”CréteilFrance
| | - Tomas Paus
- Bloorview Research InstituteHolland Bloorview Kids Rehabilitation HospitalTorontoOntarioCanada
- Departments of Psychology and PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Joaquim Radua
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Early Psychosis: Interventions and Clinical‐detection (EPIC) lab, Department of Psychosis StudiesInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
- Stockholm Health Care ServicesStockholm County CouncilStockholmSweden
| | - Marcio G. Soeiro‐de‐Souza
- Mood Disorders Unit (GRUDA), Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloSPBrazil
| | - Giulia Tronchin
- Department of Psychiatry, University Medical Center Utrecht Brain Center, University Medical Center UtrechtUtrecht UniversityUtrechtThe Netherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus Medical CenterRotterdamThe Netherlands
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Henrik Walter
- Department for Psychiatry and PsychotherapyCharité Universitätsmedizin BerlinBerlinGermany
| | - Ling‐Li Zeng
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
- College of Intelligence Science and TechnologyNational University of Defense TechnologyChangshaChina
| | - Martin Alda
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | - Jorge Almeida
- Dell Medical SchoolThe University of Texas at AustinAustinTexasUSA
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
| | - Silvia Alonso‐Lana
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Cara Altimus
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Medical FacultyTechnische Universität DresdenDresdenGermany
| | - Bernhard T. Baune
- Department of PsychiatryUniversity of MünsterMünsterGermany
- Department of PsychiatryThe University of MelbourneMelbourneVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthThe University of MelbourneMelbourneVictoriaAustralia
| | - Carrie E. Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human BehaviorUniversity of CaliforniaLos AngelesCaliforniaUSA
- Department of PsychologyUniversity of CaliforniaLos AngelesCaliforniaUSA
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
| | - Francesco Benedetti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Michael Berk
- Department of Pathophysiology and TransplantationUniversity of MilanMilanItaly
- IMPACT Institute – The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon HealthDeakin UniversityGeelongVictoriaAustralia
| | - Amy C. Bilderbeck
- The National Centre of Excellence in Youth Mental Health, Centre for Youth Mental Health, Florey Institute for Neuroscience and Mental Health and the Department of Psychiatry, The University of MelbourneOrygenMelbourneVictoriaAustralia
- P1vital LtdWallingfordUK
| | | | - Erlend Bøen
- Mood Disorders Research ProgramYale School of MedicineNew HavenConnecticutUSA
| | - Irene Bollettini
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Caterina del Mar Bonnin
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Paolo Brambilla
- Psychosomatic and CL PsychiatryOslo University HospitalOsloNorway
- Department of Neurosciences and Mental HealthFondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoMilanItaly
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
- Department of RadiologyCentre Hospitalier Universitaire Vaudois (CHUV)LausanneSwitzerland
- Signal Processing Lab (LTS5), École Polytechnique Fédérale de LausanneLausanneSwitzerland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUK
| | - Orwa Dandash
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of Melbourne and Melbourne HealthMelbourneVictoriaAustralia
- Brain, Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityClaytonVictoriaAustralia
| | - Udo Dannlowski
- Department of PsychiatryUniversity of MünsterMünsterGermany
| | | | - Ana M. Díaz‐Zuluaga
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Danai Dima
- Department of Psychology, School of Social Sciences and ArtsCity, University of LondonLondonUK
- Department of Neuroimaging, Institute of Psychiatry, Psychology & NeuroscienceKing's College LondonLondonUK
| | | | - Torbjørn Elvsåshagen
- Norwegian Centre for Mental Disorders Research (NORMENT)Oslo University HospitalOsloNorway
- Department of NeurologyOslo University HospitalOsloNorway
- Institute of Clinical MedicineUniversity of OsloOsloNorway
| | - Scott C. Fears
- Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Greater Los Angeles Veterans AdministrationLos AngelesCaliforniaUSA
| | - Sophia Frangou
- Centre for Brain HealthUniversity of British ColumbiaVancouverBritish ColumbiaCanada
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Janice M. Fullerton
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of Medical SciencesUniversity of New South WalesSydneyNew South WalesAustralia
| | - David C. Glahn
- Department of PsychiatryBoston Children's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Jose M. Goikolea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)BarcelonaSpain
- Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of NeurosciencesUniversity of BarcelonaBarcelonaSpain
| | - Melissa J. Green
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | | | - Oliver Gruber
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Bartholomeus C. M. Haarman
- Department of Psychiatry, University Medical Center GroningenUniversity of GroningenGroningenThe Netherlands
| | - Chantal Henry
- Department of PsychiatryService Hospitalo‐Universitaire, GHU Paris Psychiatrie & NeurosciencesParisFrance
- Université de ParisParisFrance
| | - Fleur M. Howells
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | | | - Andreas Jansen
- Core‐Facility Brainimaging, Faculty of MedicineUniversity of MarburgMarburgGermany
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Tilo T. J. Kircher
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Christian Knöchel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Bernd Kramer
- Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Beny Lafer
- Laboratory of Psychiatric Neuroimaging (LIM‐21), Departamento e Instituto de PsiquiatriaHospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São PauloSão PauloSPBrazil
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
- Mood Disorders ProgramHospital Universitario Trastorno del ÁnimoMedellínColombia
| | - Rodrigo Machado‐Vieira
- Experimental Therapeutics and Molecular Pathophysiology Program, Department of PsychiatryUTHealth, University of TexasHoustonTexasUSA
| | - Bradley J. MacIntosh
- Hurvitz Brain SciencesSunnybrook Research InstituteTorontoOntarioCanada
- Department of Medical BiophysicsUniversity of TorontoTorontoOntarioCanada
| | - Elisa M. T. Melloni
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Philip B. Mitchell
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Nenadic
- Department of Psychiatry and PsychotherapyPhilipps‐University MarburgMarburgGermany
| | - Fabiano Nery
- University of CincinnatiCincinnatiOhioUSA
- Universidade de São PauloSão PauloSPBrazil
| | | | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Roel A. Ophoff
- UCLA Center for Neurobehavioral GeneticsLos AngelesCaliforniaUSA
- Department of PsychiatryErasmus Medical Center, Erasmus UniversityRotterdamThe Netherlands
| | - Miho Ota
- Department of Mental Disorder ResearchNational Institute of Neuroscience, National Center of Neurology and PsychiatryTokyoJapan
| | | | - Daniel L. Pham
- Milken Institute Center for Strategic PhilanthropyWashingtonDistrict of ColumbiaUSA
| | - Mary L. Phillips
- Department of PsychiatryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | | | - Sara Poletti
- Vita‐Salute San Raffaele UniversityMilanItaly
- Division of Neuroscience, Psychiatry and Psychobiology UnitIRCCS San Raffaele Scientific InstituteMilanItaly
| | - Mircea Polosan
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
- INSERM U1216 ‐ Grenoble Institut des NeurosciencesLa TroncheFrance
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Arnaud Pouchon
- University of Grenoble AlpesCHU Grenoble AlpesGrenobleFrance
| | - Yann Quidé
- Neuroscience Research AustraliaRandwickNew South WalesAustralia
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Maria M. Rive
- Department of PsychiatryAmsterdam UMC, location AMCAmsterdamThe Netherlands
| | - Gloria Roberts
- School of PsychiatryUniversity of New South WalesSydneyNew South WalesAustralia
| | - Henricus G. Ruhe
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
- Donders Institute for Brain, Cognition and BehaviorRadboud UniversityNijmegenThe Netherlands
| | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research FoundationBarcelonaSpain
- CIBERSAMMadridSpain
| | - Theodore D. Satterthwaite
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Aart H. Schene
- Department of PsychiatryRadboud University Medical CenterNijmegenThe Netherlands
| | - Kang Sim
- West Region, Institute of Mental HealthSingaporeSingapore
- Yong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore
| | - Jair C. Soares
- Center of Excellent on Mood DisordersUTHealth HoustonHoustonTexasUSA
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Michael Stäblein
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyGoethe University FrankfurtFrankfurtGermany
| | - Dan J. Stein
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- SAMRC Unit on Risk & Resilience in Mental DisordersUniversity of Cape TownCape TownSouth Africa
| | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Georgios V. Thomaidis
- Papanikolaou General HospitalThessalonikiGreece
- Laboratory of Mechanics and MaterialsSchool of Engineering, Aristotle UniversityThessalonikiGreece
| | - Cristian Vargas Upegui
- Research Group in Psychiatry GIPSI, Department of PsychiatryFaculty of Medicine, Universidad de AntioquiaMedellínColombia
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam UMCAmsterdamThe Netherlands
| | - Michèle Wessa
- Department of Neuropsychology and Clinical PsychologyJohannes Gutenberg‐University MainzMainzGermany
| | - Lars T. Westlye
- Department of PsychologyUniversity of OsloOsloNorway
- Norwegian Centre for Mental Disorders Research (NORMENT), Department of Mental Health and AddictionOslo University HospitalOsloNorway
| | | | - Daniel H. Wolf
- Department of PsychiatryUniversity of Pennsylvania Perelman School of MedicinePhiladelphiaPennsylvaniaUSA
| | - Mon‐Ju Wu
- Department of Psychiatry and Behavioral SciencesUTHealth HoustonHoustonTexasUSA
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverBritish ColumbiaCanada
| | - Carlos A. Zarate
- Chief Experimental Therapeutics & Pathophysiology BranchBethesdaMarylandUSA
- Intramural Research ProgramNational Institute of Mental HealthBethesdaMarylandUSA
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCaliforniaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and Addicition, Oslo University HospitalOsloNorway
| | | |
Collapse
|
30
|
Vlcek P, Bob P. Schizophrenia, Bipolar Disorder and Pre-Attentional Inhibitory Deficits. Neuropsychiatr Dis Treat 2022; 18:821-827. [PMID: 35422621 PMCID: PMC9005071 DOI: 10.2147/ndt.s352157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/09/2022] [Indexed: 11/25/2022] Open
Abstract
According to recent findings schizophrenia and bipolar disorder as separate disease entities manifest similarities in neuropsychological functioning. Typical disturbances in both disorders are related to sensory gating deficits characterized by decreased inhibitory functions in responses to various insignificant perceptual signals which are experimentally tested by event related potentials (ERP) and measured P50 wave. In this context, recent findings implicate that disrupted binding and disintegration of consciousness in schizophrenia and bipolar disorder that are related to inhibitory deficits reflected in P50 response may explain similarities in psychotic disturbances in both disorders. With this aim, this review summarizes literature about P50 in both schizophrenia and bipolar disorder.
Collapse
Affiliation(s)
- Premysl Vlcek
- National Institute of Mental Health, Klecany, Czech Republic.,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Petr Bob
- Center for Neuropsychiatric Research of Traumatic Stress, Department of Psychiatry and UHSL, First Faculty of Medicine, Department of Psychiatry, & Faculty of Medicine Pilsen, Charles University, Prague, Czech Republic
| |
Collapse
|
31
|
Chan SY, Nickerson LD, Pathak R, Öngür D, Hall MH. Impact of Substance Use Disorder on Between-Network Brain Connectivity in Early Psychosis. SCHIZOPHRENIA BULLETIN OPEN 2022; 3:sgac014. [PMID: 35386953 PMCID: PMC8976260 DOI: 10.1093/schizbullopen/sgac014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The Triple Network Model of psychopathology identifies the salience network (SN), central executive network (CEN), and default mode network (DMN) as key networks underlying the pathophysiology of psychiatric disorders. In particular, abnormal SN-initiated network switching impacts the engagement and disengagement of the CEN and DMN, and is proposed to lead to the generation of psychosis symptoms. Between-network connectivity has been shown to be abnormal in both substance use disorders (SUD) and psychosis. However, none have studied how SUD affects connectivity between sub-networks of the DMN, SN, and CEN in early stage psychosis (ESP) patients. In this study, we collected data from 113 ESP patients and 50 healthy controls to investigate the effect of SUD on between-network connectivity. In addition, we performed sub-group analysis by exploring whether past SUD vs current SUD co-morbidity, or diagnosis (affective vs non-affective psychosis) had a modulatory effect. Connectivity between four network-pairs, consisting of sub-networks of the SN, CEN, and DMN, was significantly different between ESP patients and controls. Two patterns of connectivity were observed when patients were divided into sub-groups with current vs past SUD. In particular, connectivity between right CEN and the cingulo-opercular salience sub-network (rCEN-CON) showed a gradient effect where the severity of abnormalities increased from no history of SUD to past+ to current+. We also observed diagnosis-specific effects, suggesting non-affective psychosis patients were particularly vulnerable to effects of substance use on rCEN-CON connectivity. Our findings reveal insights into how comorbid SUD affects between-network connectivity and symptom severity in ESP.
Collapse
Affiliation(s)
- Shi Yu Chan
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Lisa D Nickerson
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Applied Neuroimaging Statistics Laboratory, McLean Hospital, Belmont, MA, USA
| | - Roma Pathak
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Brandeis University, Waltham, MA, USA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mei-Hua Hall
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA
- Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
32
|
Hilland E, Johannessen C, Jonassen R, Alnæs D, Jørgensen KN, Barth C, Andreou D, Nerland S, Wortinger LA, Smelror RE, Wedervang-Resell K, Bohman H, Lundberg M, Westlye LT, Andreassen OA, Jönsson EG, Agartz I. Aberrant default mode connectivity in adolescents with early-onset psychosis: A resting state fMRI study. Neuroimage Clin 2021; 33:102881. [PMID: 34883402 PMCID: PMC8662331 DOI: 10.1016/j.nicl.2021.102881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/05/2021] [Accepted: 11/06/2021] [Indexed: 12/14/2022]
Abstract
Abnormal default mode network (DMN) connectivity has been found in schizophrenia and other psychotic disorders. However, there are limited studies on early onset psychosis (EOP), and their results show lack of agreement. Here, we investigated within-network DMN connectivity in EOP compared to healthy controls (HC), and its relationship to clinical characteristics. A sample of 68 adolescent patients with EOP (mean age 16.53 ± 1.12 [SD] years, females 66%) and 95 HC (mean age 16.24 ± 1.50 [SD], females 60%) from two Scandinavian cohorts underwent resting state functional magnetic resonance imaging (rsfMRI). A group independent component analysis (ICA) was performed to identify the DMN across all participants. Dual regression was used to estimate spatial maps reflecting each participant's DMN network, which were compared between EOP and HC using voxel-wise general linear models and permutation-based analyses. Subgroup analyses were performed within the patient group, to explore associations between diagnostic subcategories and current use of psychotropic medication in relation to connectivity strength. The analysis revealed significantly reduced DMN connectivity in EOP compared to HC in the posterior cingulate cortex, precuneus, fusiform cortex, putamen, pallidum, amygdala, and insula. The subgroup analysis in the EOP group showed strongest deviations for affective psychosis, followed by other psychotic disorders and schizophrenia. There was no association between DMN connectivity strength and the current use of psychotropic medication. In conclusion, the findings demonstrate weaker DMN connectivity in adolescent patients with EOP compared to healthy peers, and differential effects across diagnostic subcategories, which may inform our understanding of underlying disease mechanisms in EOP.
Collapse
Affiliation(s)
- Eva Hilland
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Faculty of Health Sciences, Oslo Metropolitan University, Norway.
| | - Cecilie Johannessen
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Rune Jonassen
- Faculty of Health Sciences, Oslo Metropolitan University, Norway
| | - Dag Alnæs
- Bjørknes College, Oslo, Norway; Norwegian Centre for Mental Disorders Research NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Kjetil N Jørgensen
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Claudia Barth
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Dimitrios Andreou
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Stener Nerland
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Laura A Wortinger
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Runar E Smelror
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Kirsten Wedervang-Resell
- Norwegian Centre for Mental Disorders Research NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Hannes Bohman
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden; Department of Neuroscience, Child and Adolescent Psychiatry, Uppsala University, Uppsala, Sweden; Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Mathias Lundberg
- Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden; Department of Neuroscience, Child and Adolescent Psychiatry, Uppsala University, Uppsala, Sweden; Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| |
Collapse
|
33
|
Ferraro L, La Cascia C, La Barbera D, Sanchez-Gutierrez T, Tripoli G, Seminerio F, Sartorio C, Marrazzo G, Sideli L, Arango C, Arrojo M, Bernardo M, Bobes J, Del-Ben CM, Gayer-Anderson C, Jongsma HE, Kirkbride JB, Lasalvia A, Tosato S, Llorca PM, Menezes PR, Rutten BP, Santos JL, Sanjuán J, Selten JP, Szöke A, Tarricone I, Muratori R, Tortelli A, Velthorst E, Rodriguez V, Quattrone A, Jones PB, Van Os J, Vassos E, Morgan C, de Haan L, Reininghaus U, Cardno AG, Di Forti M, Murray RM, Quattrone D. The relationship of symptom dimensions with premorbid adjustment and cognitive characteristics at first episode psychosis: Findings from the EU-GEI study. Schizophr Res 2021; 236:69-79. [PMID: 34403965 PMCID: PMC8473991 DOI: 10.1016/j.schres.2021.08.008] [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: 11/23/2020] [Revised: 07/14/2021] [Accepted: 08/04/2021] [Indexed: 01/19/2023]
Abstract
Premorbid functioning and cognitive measures may reflect gradients of developmental impairment across diagnostic categories in psychosis. In this study, we sought to examine the associations of current cognition and premorbid adjustment with symptom dimensions in a large first episode psychosis (FEP) sample. We used data from the international EU-GEI study. Bifactor modelling of the Operational Criteria in Studies of Psychotic Illness (OPCRIT) ratings provided general and specific symptom dimension scores. Premorbid Adjustment Scale estimated premorbid social (PSF) and academic adjustment (PAF), and WAIS-brief version measured IQ. A MANCOVA model examined the relationship between symptom dimensions and PSF, PAF, and IQ, having age, sex, country, self-ascribed ethnicity and frequency of cannabis use as confounders. In 785 patients, better PSF was associated with fewer negative (B = -0.12, 95% C.I. -0.18, -0.06, p < 0.001) and depressive (B = -0.09, 95% C.I. -0.15, -0.03, p = 0.032), and more manic (B = 0.07, 95% C.I. 0.01, 0.14, p = 0.023) symptoms. Patients with a lower IQ presented with slightly more negative and positive, and fewer manic, symptoms. Secondary analysis on IQ subdomains revealed associations between better perceptual reasoning and fewer negative (B = -0.09, 95% C.I. -0.17, -0.01, p = 0.023) and more manic (B = 0.10, 95% C.I. 0.02, 0.18, p = 0.014) symptoms. Fewer positive symptoms were associated with better processing speed (B = -0.12, 95% C.I. -0.02, -0.004, p = 0.003) and working memory (B = -0.10, 95% C.I. -0.18, -0.01, p = 0.024). These findings suggest that the negative and manic symptom dimensions may serve as clinical proxies of different neurodevelopmental predisposition in psychosis.
Collapse
Affiliation(s)
- Laura Ferraro
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy.
| | - Caterina La Cascia
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Daniele La Barbera
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | | | - Giada Tripoli
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Fabio Seminerio
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Crocettarachele Sartorio
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Giovanna Marrazzo
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Lucia Sideli
- Department of Biomedicine, Neuroscience and Advanced Diagnostic (BiND), Section of Psychiatry, University of Palermo, Via G. La Loggia 1, 90129 Palermo, Italy
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM (CIBERSAM), C/Doctor Esquerdo 46, 28007 Madrid, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Department of Medicine, Neuroscience Institute, Hospital clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Julián Clavería s/n, 33006 Oviedo, Spain
| | - Cristina Marta Del-Ben
- Department of Preventative Medicine, Faculdade de Medicina FMUSP, University of São Paulo, São Paulo, Brazil
| | - Charlotte Gayer-Anderson
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Hannah E. Jongsma
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, UK
| | - James B. Kirkbride
- Psylife Group, Division of Psychiatry, University College London, 6th Floor, Maple House, 149 Tottenham Court Road, London W1T 7NF, UK
| | - Antonio Lasalvia
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Sarah Tosato
- Section of Psychiatry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Piazzale L.A. Scuro 10, 37134 Verona, Italy
| | | | - Paulo Rossi Menezes
- Department of Preventive Medicine, Faculdade de Medicina, Universidade of São Paulo, São Paulo, Brazil
| | - Bart P. Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200, MD, Maastricht, the Netherlands
| | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital "Virgen de la Luz", C/Hermandad de Donantes de Sangre, 16002 Cuenca, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), C/Avda. Blasco Ibáñez 15, 46010 Valencia, Spain
| | - Jean-Paul Selten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200, MD, Maastricht, the Netherlands,Rivierduinen Institute for Mental Health Care, Sandifortdreef 19, 2333 ZZLeiden, the Netherlands
| | - Andrei Szöke
- INSERM, U955, Equipe 15, 51 Avenue de Maréchal de Lattre de Tassigny, 94010 Créteil, France
| | - Ilaria Tarricone
- Department of Medical and Surgical Science, Psychiatry Unit, Alma Mater Studiorum Università di Bologna, Viale Pepoli 5, 40126 Bologna, Italy
| | - Roberto Muratori
- Dapertment of Mental Health and pathological addictions, Bologna Local Health Authority, Italy
| | - Andrea Tortelli
- Etablissement Public de Santé Maison Blanche, Paris 75020, France
| | - Eva Velthorst
- Department of Psychiatry, Early Psychosis Section, Amsterdam UMC, University of Amsterdam, Meibergdreef 5, 1105 AZ Amsterdam, the Netherlands,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Victoria Rodriguez
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Andrea Quattrone
- National Health Service, Villa Betania Institute, Reggio Calabria, Italy
| | - Peter B. Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK,CAMEO Early Intervention Service, Cambridgeshire & Peterborough NHS Foundation Trust, Cambridge CB21 5EF, UK
| | - Jim Van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK,Department Psychiatry, Brain Centre Rudolf Magnus, Utrecht University Medical Centre, Utrecht, the Netherlands
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Craig Morgan
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK
| | - Lieuwe de Haan
- Department of Psychiatry, Early Psychosis Section, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | - Ulrich Reininghaus
- Department of Health Service and Population Research, Institute of Psychiatry, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, South Limburg Mental Health Research and Teaching Network, Maastricht University Medical Centre, P.O. Box 616, 6200, MD, Maastricht, the Netherlands,Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alastair G. Cardno
- Academic Unit of Psychiatry and Behavioural Sciences, University of Leeds, Leeds, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK,South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Robin M. Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London SE5 8AF, UK,South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK,Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany,South London and Maudsley NHS Mental Health Foundation Trust, London, UK
| |
Collapse
|
34
|
Shared and distinct white matter abnormalities in schizophrenia and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110175. [PMID: 33188830 DOI: 10.1016/j.pnpbp.2020.110175] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 11/20/2022]
Abstract
While white matter impairments play an integral part in the pathophysiology of schizophrenia and bipolar disorder, the literature on white matter abnormality differences between the two disorders is insufficient. The University of California Los Angeles Consortium for Neuropsychiatric Phenomic LA5c public dataset, including 47 patients with schizophrenia, 47 with bipolar disorder, and 115 healthy controls, was obtained via OpenNeuro. Whole-brain tractography was performed using Unscented Kalman filter-based two-tensor tractography and White Matter Query Language. Diffusion indices, including fractional anisotropy (FA), axial diffusivity, radial diffusivity (RD), and trace (TR), were used to compare subject groups. Spearman's partial correlation with a covariate of age was used for correlation with clinical variables. Both patient groups exhibited significantly higher RD in the left external capsule and TR in the right extreme capsule. Significantly lower FA in the left external capsule, right thalamo-occipital and thalamo-parietal tracts were found in the schizophrenia group in comparison with bipolar disorder and healthy control groups. Compared with healthy controls, patients with schizophrenia had significantly lower FA in the left-to-right lateral orbitofrontal commissural tract. There were possible associations of the FA and RD of the left external capsule with the anxiety-depression score of the Brief Psychiatric Rating Scale in patients with schizophrenia. The white matter alterations identified in schizophrenia and bipolar disorder may be a neurobiological basis contributing to characterization of the two disorders.
Collapse
|
35
|
Rentschler KM, Baratta AM, Ditty AL, Wagner NTJ, Wright CJ, Milosavljevic S, Mong JA, Pocivavsek A. Prenatal Kynurenine Elevation Elicits Sex-Dependent Changes in Sleep and Arousal During Adulthood: Implications for Psychotic Disorders. Schizophr Bull 2021; 47:1320-1330. [PMID: 33823027 PMCID: PMC8379538 DOI: 10.1093/schbul/sbab029] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Dysregulation of the kynurenine pathway (KP) of tryptophan catabolism has been implicated in psychotic disorders, including schizophrenia and bipolar disorder. Kynurenic acid (KYNA) is a KP metabolite synthesized by kynurenine aminotransferases (KATs) from its biological precursor kynurenine and acts as an endogenous antagonist of N-methyl-D-aspartate and α7-nicotinic acetylcholine receptors. Elevated KYNA levels found in postmortem brain tissue and cerebrospinal fluid of patients are hypothesized to play a key role in the etiology of cognitive symptoms observed in psychotic disorders. Sleep plays an important role in memory consolidation, and sleep disturbances are common among patients. Yet, little is known about the effect of altered KP metabolism on sleep-wake behavior. We presently utilized a well-established experimental paradigm of embryonic kynurenine (EKyn) exposure wherein pregnant dams are fed a diet laced with kynurenine the last week of gestation and hypothesized disrupted sleep-wake behavior in adult offspring. We examined sleep behavior in adult male and female offspring using electroencephalogram and electromyogram telemetry and determined sex differences in sleep and arousal in EKyn offspring. EKyn males displayed reduced rapid eye movement sleep, while female EKyn offspring were hyperaroused compared to controls. We determined that EKyn males maintain elevated brain KYNA levels, while KYNA levels were unchanged in EKyn females, yet the activity levels of KAT I and KAT II were reduced. Our findings indicate that elevated prenatal kynurenine exposure elicits sex-specific changes in sleep-wake behavior, arousal, and KP metabolism.
Collapse
Affiliation(s)
- Katherine M Rentschler
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | | | - Audrey L Ditty
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Nathan T J Wagner
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Courtney J Wright
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Snezana Milosavljevic
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA
| | - Jessica A Mong
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ana Pocivavsek
- Department of Pharmacology, Physiology, and Neuroscience, University of South Carolina School of Medicine, Columbia, SC, USA,To whom correspondence should be addressed; tel: (803) 216–3509, fax: 803-216-3538, e-mail:
| |
Collapse
|
36
|
Guo JY, Lesh TA, Niendam TA, Ragland JD, Tully LM, Carter CS. Brain free water alterations in first-episode psychosis: a longitudinal analysis of diagnosis, course of illness, and medication effects. Psychol Med 2021; 51:1001-1010. [PMID: 31910929 PMCID: PMC7340574 DOI: 10.1017/s0033291719003969] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Multiple lines of evidence suggest the presence of altered neuroimmune processes in patients with schizophrenia (Sz) and severe mood disorders. Recent studies using a novel free water diffusion tensor imaging (FW DTI) approach, proposed as a putative biomarker of neuroinflammation, atrophy, or edema, have shown significantly increased FW in patients with Sz. However no studies to date have investigated the longitudinal stability of FW alterations during the early course of psychosis, nor have studies focused separately on FE psychosis patients with Sz or bipolar disorder (BD) with psychotic features. METHODS The current study included 188 participants who underwent diffusion magnetic resonance imaging scanning at baseline. Sixty-four participants underwent follow-up rescanning after 12 months. DTI-based alterations in patients were calculated using voxelwise tract-based spatial statistics and region of interest analyses. RESULTS Patients with FE psychosis, both Sz and BD, exhibited increased FW at illness onset which remained unchanged over the 12-month follow-up period. Preliminary analyses suggested that antipsychotic medication exposure was associated with higher FW in gray matter that reached significance in the BD group. Higher FW in white matter correlated with negative symptom severity. CONCLUSIONS Our results support the presence of elevated FW at the onset of psychosis in both Sz and BD, which remains stable during the early course of the illness, with no evidence of either progression or remission.
Collapse
Affiliation(s)
- J. Y. Guo
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Center for Neuroscience, the University of California at Davis, Davis, CA, USA
| | - T. A. Lesh
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - T. A. Niendam
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - J. D. Ragland
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - L. M. Tully
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| | - C. S. Carter
- Imaging Research Center, the University of California at Davis, Sacramento, CA, USA
- Center for Neuroscience, the University of California at Davis, Davis, CA, USA
- Psychiatry and Behavioral Sciences, University of California, Davis, CA, USA
| |
Collapse
|
37
|
Canario E, Chen D, Biswal B. A review of resting-state fMRI and its use to examine psychiatric disorders. PSYCHORADIOLOGY 2021; 1:42-53. [PMID: 38665309 PMCID: PMC10917160 DOI: 10.1093/psyrad/kkab003] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 02/17/2021] [Accepted: 03/08/2021] [Indexed: 04/28/2024]
Abstract
Resting-state fMRI (rs-fMRI) has emerged as an alternative method to study brain function in human and animal models. In humans, it has been widely used to study psychiatric disorders including schizophrenia, bipolar disorder, autism spectrum disorders, and attention deficit hyperactivity disorders. In this review, rs-fMRI and its advantages over task based fMRI, its currently used analysis methods, and its application in psychiatric disorders using different analysis methods are discussed. Finally, several limitations and challenges of rs-fMRI applications are also discussed.
Collapse
Affiliation(s)
- Edgar Canario
- Department of Biomedical Engineering, New Jersey Institute of Technology, 619 Fenster Hall, Newark, NJ, 07102, US
| | - Donna Chen
- Department of Biomedical Engineering, New Jersey Institute of Technology, 619 Fenster Hall, Newark, NJ, 07102, US
| | - Bharat Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, 619 Fenster Hall, Newark, NJ, 07102, US
| |
Collapse
|
38
|
Roes MM, Yin J, Taylor L, Metzak PD, Lavigne KM, Chinchani A, Tipper CM, Woodward TS. Hallucination-Specific structure-function associations in schizophrenia. Psychiatry Res Neuroimaging 2020; 305:111171. [PMID: 32916453 DOI: 10.1016/j.pscychresns.2020.111171] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2020] [Revised: 08/15/2020] [Accepted: 08/19/2020] [Indexed: 01/13/2023]
Abstract
Combining structural (sMRI) and functional magnetic resonance imaging (fMRI) data in schizophrenia patients with and without auditory hallucinations (9 SZ_AVH, 12 SZ_nAVH), 18 patients with bipolar disorder, and 22 healthy controls, we examined whether cortical thinning was associated with abnormal activity in functional brain networks associated with auditory hallucinations. Language-task fMRI data were combined with mean cortical thickness values from 148 brain regions in a constrained principal component analysis (CPCA) to identify brain structure-function associations predictable from group differences. Two components emerged from the multimodal analysis. The "AVH component" highlighted an association of frontotemporal and cingulate thinning with altered brain activity characteristic of hallucinations among patients with AVH. In contrast, the "Bipolar component" distinguished bipolar patients from healthy controls and linked increased activity in the language network with cortical thinning in the left occipital-temporal lobe. Our findings add to a body of evidence of the biological underpinnings of hallucinations and illustrate a method for multimodal data analysis of structure-function associations in psychiatric illness.
Collapse
Affiliation(s)
- Meighen M Roes
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada; BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada
| | - John Yin
- BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Laura Taylor
- BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Paul D Metzak
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Katie M Lavigne
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Abhijit Chinchani
- BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Christine M Tipper
- BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Todd S Woodward
- BC Mental Health and Substance Use Services Research Institute, Provincial Health Services Authority, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
| |
Collapse
|
39
|
van Neerven T, Bos DJ, van Haren NE. Deficiencies in Theory of Mind in patients with schizophrenia, bipolar disorder, and major depressive disorder: A systematic review of secondary literature. Neurosci Biobehav Rev 2020; 120:249-261. [PMID: 33246019 DOI: 10.1016/j.neubiorev.2020.11.011] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 11/06/2020] [Accepted: 11/08/2020] [Indexed: 11/16/2022]
Abstract
Deficiencies in Theory of Mind (ToM) are consistently found in individuals with schizophrenia (SZ), major depressive disorder (MDD), and bipolar disorder (BD). However, the character of these deficits and their role in the pathogenesis of mental illness remains poorly understood. This systematic review synthesizes the available secondary literature pertaining to ToM functioning in individuals with MDD, BD, or SZ, and their respective spectrum disorders in order to delineate disorder or symptom specific patterns of ToM impairment. Literature suggests that ToM deficits increase in severity along the affective-psychotic spectrum, with mild deficits in patients with MDD, and severe deficits in patients with mania or psychosis. Furthermore, ToM deficits appear to be part of a broader developmental phenotype associated with SZ and BD, as suggested by findings of attenuated impairments in ToM in remitted patients with SZ or BD, unaffected first-degree relatives of patients, and clinical high-risk groups. Future psychiatric research on ToM should aim to disentangle relationships between ToM deficits and specific symptom dimensions transdiagnostically, and employ standardized, construct-specific ToM tasks.
Collapse
Affiliation(s)
- Thomas van Neerven
- University Medical Centre Utrecht - Brain Centre, Department of psychiatry, Utrecht, the Netherlands
| | - Dienke J Bos
- University Medical Centre Utrecht - Brain Centre, Department of psychiatry, Utrecht, the Netherlands
| | - Neeltje Em van Haren
- Erasmus Medical Center, Department of child and adolescent psychiatry/psychology, Rotterdam, the Netherlands.
| |
Collapse
|
40
|
Diagnostic stability in children and adolescents with bipolar disorder, a nationwide register-based study. Int J Bipolar Disord 2020; 8:14. [PMID: 32372109 PMCID: PMC7200954 DOI: 10.1186/s40345-020-0179-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 01/22/2020] [Indexed: 01/06/2023] Open
Abstract
Background Diagnostic stability of bipolar disorder (BD) in children and adolescents, beyond the first contact has been investigated sparsely. The aim of this study was to investigate the diagnostic stability of BD in children and adolescents using over two decades of nationwide register-based data, and to examine factors associated with change from BD to schizophrenia (ICD-10: F20.x), schizoaffective disorder (ICD-10: F25.x) or other primary psychotic disorders (ICD-10 F23.x–24.x and F28.x–29.x). Methods Danish register-based data for all incident BD patients diagnosed prior to age 18 years, between January 1st 1995 and December 31st 2014 (N = 519). We graphically illustrated diagnostic change at different follow-up times and studied variables associated with diagnostic change after 3-year follow-up using Poisson regression with robust standard error estimates. Results The diagnosis of incident BD was relatively stable. The diagnosis did not change for 93% of those followed for at least 6 months, and remained unchanged for 86% and 73% of those followed at least 3 years and 10 years, respectively. In patients followed for at least 3 years after index BD (N = 478), the risk of diagnostic change was 61% higher in males versus females. The risk of diagnostic change for patients diagnosed during hospitalization was 74% higher compared to patients diagnosed at outpatient clinics/emergency rooms. The risk of diagnostic change for patients abusing substances other than alcohol and cannabis was 173% higher compared to patients not abusing such substances. The risk of diagnostic change for patients previously diagnosed with schizophrenia or related diagnosis was 257% higher compared to patients not having been diagnosed with such diagnosis previously, while the risk of diagnostic change in offspring of parents with schizophrenia or related diagnosis was 126% higher compared to patients who did not have parents diagnosed with such disorders. Conclusion Overall, the stability of the BD diagnosis in the Danish nationwide healthcare registers was high. Factors associated with risk of diagnostic change within 3 years of the initial diagnosis were being male, diagnosis given during hospitalization, substance abuse other than alcohol and cannabis, and a prior diagnosis of schizophrenia or related diagnosis in the patient or in their parents.
Collapse
|
41
|
Duffy A, Carlson G, Dubicka B, Hillegers MHJ. Pre-pubertal bipolar disorder: origins and current status of the controversy. Int J Bipolar Disord 2020; 8:18. [PMID: 32307651 PMCID: PMC7167382 DOI: 10.1186/s40345-020-00185-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 03/17/2020] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Evidence from epidemiological, clinical and high-risk studies has established that the peak period of risk for onset of bipolar disorder spans late adolescence and early adulthood. However, the proposal of the existence of a pre-pubertal form of bipolar disorder manifesting in early childhood created substantial debate. In this narrative review, the literature and contributing factors pertaining to the controversy surrounding the proposed pre-pubertal bipolar disorder subtype are discussed. The resolution of the debate and lessons learned are highlighted. MAIN BODY In the mid 1990s US researchers proposed that chronic irritability and explosive temper in pre-pubertal children with pre-existing ADHD and/or other learning and developmental disorders might represent a variant of mania. A number of factors contributed to this proposal including severely ill children with no diagnostic home given changes in the ADHD DSM diagnostic criteria and over-reliance on symptoms and structured interviews rather than on a clinical assessment incorporating developmental history, social context and clinical course. Prospective studies of children at high familial risk did not support the proposed pre-pubertal bipolar phenotype; but rather provided convergent evidence that bipolar disorder onset in adolescence and early adulthood not uncommonly preceded by sleep and internalizing symptoms and most often debuting as depression in adolescence (after puberty). Epidemiological studies of population and hospital discharge data provided evidence that the pre-pubertal bipolar phenotype was largely a US driven phenomenon. CONCLUSIONS Psychiatric diagnosis is particularly challenging given the current lack of objective biomarkers. However, validity and utility of clinical diagnoses can be strengthened if all available predictive information is used to formulate a diagnosis. As in other areas of medicine, critical information required to make a valid diagnosis includes developmental history, clinical course, family history and treatment response-weighed against the known trajectories of classical disorders. Moreover, given that psychiatric disorders are in evolution over childhood and adolescence and symptoms, in of themselves, are often non-specific, a thorough clinical assessment incorporating collateral history and psychosocial context is paramount. Such an approach might have avoided or at least brought a more timely resolution to the debate on pre-pubertal mania.
Collapse
Affiliation(s)
- A. Duffy
- Queen’s University, Kingston, Canada
- Department of Psychiatry, University Oxford, Oxford, UK
| | - G. Carlson
- Renaissance School of Medicine, Stonybrook University, Stony Brook, NY USA
| | - B. Dubicka
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - M. H. J. Hillegers
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center-Sophia Children’s Hospital, Rotterdam, The Netherlands
| |
Collapse
|
42
|
Kempisty B, Bober A, Łuczak M, Czerski P, Szczepankiewicz A, Hauser J, Jagodziński PP. Distribution of 1298A > C polymorphism of methylenetetrahydrofolate reductase gene in patients with bipolar disorder and schizophrenia. Eur Psychiatry 2020; 22:39-43. [PMID: 17188847 DOI: 10.1016/j.eurpsy.2006.11.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2006] [Revised: 11/02/2006] [Accepted: 11/10/2006] [Indexed: 01/29/2023] Open
Abstract
AbstractWe investigated the genotype frequency of methylenetetrahydrofolate reductase (MTHFR) 1298A > C polymorphism in the group of patients with bipolar disorder type I (BDI) (n = 200) and schizophrenia (n = 200) and in the control group (n = 300). Odds ratio (OR) for patients with BD and schizophrenia in 1298CC homozygous state was 3.768 (95% CI = 1.752–8.104); P = 0.0003; (P = 0.0006 after Bonferroni correction) and 2.694; (95% CI = 1.207–6.013); P = 0.0123 (P = 0.0246 after Bonferroni correction), respectively. The stratification of patients based on gender revealed significant association of 1298CC genotype with female patients only with BDI (OR = 7.293; 95% CI = 2.017–26.363; P = 0.0005).Our results confirm association of BD and schizophrenia with the 1p36.3 MTHFR locus and with the methyl group transfer using folate-dependent one-carbon pathway.
Collapse
Affiliation(s)
- Bartosz Kempisty
- Department of Biochemistry and Molecular Biology, University of Medical Sciences, 6 Swiecickiego St., 60-781 Poznan, Poland
| | | | | | | | | | | | | |
Collapse
|
43
|
Bora E, Özerdem A. A meta-analysis of neurocognition in youth with familial high risk for bipolar disorder. Eur Psychiatry 2020; 44:17-23. [DOI: 10.1016/j.eurpsy.2017.02.483] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2016] [Revised: 02/11/2017] [Accepted: 02/12/2017] [Indexed: 12/11/2022] Open
Abstract
AbstractObjective:Neuropsychological impairment, including deficits in social cognition is evident in subjects at genetic high-risk for psychosis. However, findings in youth at genetic risk to bipolar disorder (BP) have been suggested to be less supportive of premorbid deficits. We aimed to conduct a meta-analysis of cognitive deficits in youth with familiar risk for bipolar disorder (FHR-BD).Methods:A novel meta-analysis of FHR-BD (mean age 10–25), including 18 studies (786 offsprings/siblings of patients with BD and 794 healthy controls), was conducted.Results:Both general cognition (d = 0.29, CI = 0.15–0.44) and social cognition (d = 0.23, CI = 0–0.45) were impaired in FHR-BD. In comparison to controls, FHR-BD had significant deficits in several cognitive domains, including visual memory (d = 0.35), verbal memory (d = 0.21), processing speed (d = 0.26) and sustained attention (d = 0.36). There was no significant difference between FHR-BD and controls in planning and working memory.Conclusions:Cognitive deficits are evident in individuals who are at genetic high-risk for developing BD. Neurodevelopmental abnormalities are likely playing a role not only in schizophrenia but also in BD.
Collapse
|
44
|
Soler J, Miret S, Lázaro L, Parellada M, Martín M, Lera-Miguel S, Rosa A, de Castro-Catala M, Cuesta M, Fañanás L, Krebs M, Fatjó-Vilas M. Influence of DAOA and RGS4 genes on the risk for psychotic disorders and their associated executive dysfunctions: A family-based study. Eur Psychiatry 2020; 32:42-7. [DOI: 10.1016/j.eurpsy.2015.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/18/2015] [Accepted: 11/21/2015] [Indexed: 12/22/2022] Open
Abstract
AbstractBackgroundGlutamatergic neurotransmission dysfunction has classically been related to the aetiology of psychotic disorders. A substantial polygenic component shared across these disorders has been reported and molecular genetics studies have associated glutamatergic-related genes, such as d-amino acid oxidase activator (DAOA) and regulator of G-protein signalling 4 (RGS4) with the risk for psychotic disorders. Our aims were to examine: (i) the relationship between DAOA and RGS4 and the risk for psychotic disorders using a family-based association approach, and (ii) whether variations in these genes are associated with differences in patients’ cognitive performance.MethodsThe sample comprised 753 subjects (222 patients with psychotic disorders and 531 first-degree relatives). Six SNPs in DAOA and 5 SNPs in RGS4 were genotyped. Executive cognitive performance was assessed with Trail Making Test B (TMT-B) and Wisconsin Card Sorting Test (WCST). Genetic association analyses were conducted with PLINK, using the transmission disequilibrium test (TDT) for the family-based study and linear regression for cognitive performance analyses.ResultsThe haplotype GAGACT at DAOA was under-transmitted to patients (P = 0.0008), indicating its association with these disorders. With regards to cognitive performance, the DAOA haplotype GAGGCT was associated with worse scores in TMT-B (P = 0.018) in SZ patients only. RGS4 analyses did not report significant results.ConclusionsOur findings suggest that the DAOA gene may contribute to the risk for psychotic disorders and that this gene may play a role as a modulator of executive function, probably through the dysregulation of the glutamatergic signalling.
Collapse
|
45
|
Hess JL, Tylee DS, Barve R, de Jong S, Ophoff RA, Kumarasinghe N, Tooney P, Schall U, Gardiner E, Beveridge NJ, Scott RJ, Yasawardene S, Perera A, Mendis J, Carr V, Kelly B, Cairns M, Tsuang MT, Glatt SJ. Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses. Schizophr Res 2020; 217:124-135. [PMID: 31391148 PMCID: PMC6997041 DOI: 10.1016/j.schres.2019.07.036] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 07/20/2019] [Accepted: 07/23/2019] [Indexed: 02/07/2023]
Abstract
We performed a transcriptome-wide meta-analysis and gene co-expression network analysis to identify genes and gene networks dysregulated in the peripheral blood of bipolar disorder (BD) cases relative to unaffected comparison subjects, and determined the specificity of the transcriptomic signatures of BD and schizophrenia (SZ). Nineteen genes and 4 gene modules were significantly differentially expressed in BD cases. Thirteen gene modules were shown to be differentially expressed in a combined case-group of BD and SZ subjects called "major psychosis", including genes biologically linked to apoptosis, reactive oxygen, chromatin remodeling, and immune signaling. No modules were differentially expressed between BD and SZ cases. Machine-learning classifiers trained to separate diagnostic classes based solely on gene expression profiles could distinguish BD cases from unaffected comparison subjects with an area under the curve (AUC) of 0.724, as well as BD cases from SZ cases with AUC = 0.677 in withheld test samples. We introduced a novel and straightforward method called "polytranscript risk scoring" that could distinguish BD cases from unaffected subjects (AUC = 0.672) and SZ cases (AUC = 0.607) significantly better than expected by chance. Taken together, our results highlighted gene expression alterations common to BD and SZ that involve biological processes of inflammation, oxidative stress, apoptosis, and chromatin regulation, and highlight disorder-specific changes in gene expression that discriminate the major psychoses.
Collapse
Affiliation(s)
- Jonathan L. Hess
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab); Departments of Psychiatry and Behavioral Sciences & Neuroscience and Physiology; SUNY Upstate Medical University; Syracuse, NY, U.S.A
| | - Daniel S. Tylee
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab); Departments of Psychiatry and Behavioral Sciences & Neuroscience and Physiology; SUNY Upstate Medical University; Syracuse, NY, U.S.A
| | - Rahul Barve
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab); Departments of Psychiatry and Behavioral Sciences & Neuroscience and Physiology; SUNY Upstate Medical University; Syracuse, NY, U.S.A
| | - Simone de Jong
- MRC Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, UK
| | - Roel A. Ophoff
- Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Behavior, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, California, U.S.A.,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Nishantha Kumarasinghe
- School of Medicine & Public Health, The University of Newcastle, Callaghan, Newcastle, Australia.,Department of Anatomy, Faculty of Medical Sciences, University of Sri Jayawardenepura, Nugegoda, Sri Lanka,Faculty of Medicine, Sir John Kotelawala Defence University, Ratmalana, Sri Lanka
| | - Paul Tooney
- School of Biomedical Sciences & Pharmacy, Faculty of Health, The University of Newcastle, New South Wales, Australia,Hunter Medical Research Institute, Newcastle, Australia
| | - Ulrich Schall
- School of Medicine & Public Health, The University of Newcastle, Callaghan, Newcastle, Australia.,Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, Newcastle, Australia
| | - Erin Gardiner
- School of Biomedical Sciences & Pharmacy, Faculty of Health, The University of Newcastle, New South Wales, Australia,Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, Newcastle, Australia
| | - Natalie Jane Beveridge
- School of Medicine & Public Health, The University of Newcastle, Callaghan, Newcastle, Australia.,Hunter Medical Research Institute, Newcastle, Australia,Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, Newcastle, Australia
| | - Rodney J. Scott
- School of Biomedical Sciences & Pharmacy, Faculty of Health, The University of Newcastle, New South Wales, Australia,Hunter Medical Research Institute, Newcastle, Australia
| | - Surangi Yasawardene
- Department of Anatomy, Faculty of Medical Sciences, University of Sri Jayawardenepura, Nugegoda, Sri Lanka
| | - Antionette Perera
- Department of Anatomy, Faculty of Medical Sciences, University of Sri Jayawardenepura, Nugegoda, Sri Lanka
| | - Jayan Mendis
- Department of Anatomy, Faculty of Medical Sciences, University of Sri Jayawardenepura, Nugegoda, Sri Lanka
| | - Vaughan Carr
- School of Psychiatry, University of New South Wales, Kensington, New South Wales, Australia
| | - Brian Kelly
- School of Medicine & Public Health, The University of Newcastle, Callaghan, Newcastle, Australia.,Hunter Medical Research Institute, Newcastle, Australia,Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, Newcastle, Australia
| | - Murray Cairns
- School of Biomedical Sciences & Pharmacy, Faculty of Health, The University of Newcastle, New South Wales, Australia,Hunter Medical Research Institute, Newcastle, Australia,Priority Centre for Brain & Mental Health Research, The University of Newcastle, Callaghan, Newcastle, Australia
| | | | - Ming T. Tsuang
- Center for Behavioral Genomics, Department of Psychiatry, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA; Harvard Institute of Psychiatric Epidemiology and Genetics, Boston, USA
| | - Stephen J. Glatt
- Psychiatric Genetic Epidemiology & Neurobiology Laboratory (PsychGENe Lab); Departments of Psychiatry and Behavioral Sciences & Neuroscience and Physiology; SUNY Upstate Medical University; Syracuse, NY, U.S.A.,Please address correspondence to: Dr. Stephen J. Glatt, 3710 Neuroscience Research Building, Institute for Human Performance, 505 Irving Avenue, Syracuse, NY 13202, , Phone: 1 (315) 464-7742
| |
Collapse
|
46
|
Neurodevelopmental pathways in bipolar disorder. Neurosci Biobehav Rev 2020; 112:213-226. [PMID: 32035092 DOI: 10.1016/j.neubiorev.2020.02.005] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 01/03/2020] [Accepted: 02/04/2020] [Indexed: 12/14/2022]
Abstract
Aberrations in neurodevelopmental trajectories have been implicated in the neurobiology of several mental disorders and evidence indicates a pathophysiological and genetic overlap of schizophrenia and bipolar disorder (BD). In this narrative review, we summarize findings related to developmental and perinatal factors as well as epidemiological, clinical, neuropsychological, brain imaging, postmortem brain and genomic studies that provide evidence for a putative neurodevelopmental pathogenesis and etiology of BD. Overall, aberrations in neurodevelopmental pathways have been more consistently implicated in the pathophysiology of schizophrenia compared to BD. Nevertheless, an accumulating body of evidence indicates that dysfunctional neurodevelopmental pathways may be implicated in the underlying pathophysiology of at least a subset of individuals with BD particularly those with an early age of illness onset and those exhibiting psychotic symptoms. A heuristic neurodevelopmental model for the pathophysiology of BD based on the findings of this review is proposed. Furthermore, we critically discuss clinical and research implications of this model. Finally, further research directions for this emerging field are provided.
Collapse
|
47
|
Rognli EB, Bramness JG, von Soest T. Cannabis use in early adulthood is prospectively associated with prescriptions of antipsychotics, mood stabilizers, and antidepressants. Acta Psychiatr Scand 2020; 141:149-156. [PMID: 31560790 DOI: 10.1111/acps.13104] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Revised: 09/23/2019] [Accepted: 09/24/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Cannabis is an acknowledged risk factor for some mental disorders, but for others the evidence is inconclusive. Prescribed medicinal drugs can be used as proxies for mental disorders. In this study, we investigate how use of cannabis is prospectively related to prescription of antipsychotics, mood stabilizers, antidepressants, and anxiolytics. METHODS Data on cannabis exposure and relevant confounders were obtained from 2,602 individuals in the longitudinal Young in Norway Study, providing survey data from four data collection waves between 1992 and 2006. Data were coupled with information about prescriptions for psychotropic drugs from the Norwegian Prescription Database between 2007 and 2015. RESULTS Past year cannabis use increased the risk of prescription of antipsychotics (OR = 5.56, 95 % CI 1.64 - 18.87), mood stabilizers (OR = 5.36, 95 % CI 1.99 - 14.44) and antidepressants (OR = 2.10, 95 % CI 1.36 - 3.25), after accounting for sociodemographic variables, conduct problems, additional drug use, mental distress, and prescriptions the year before cannabis use was measured. CONCLUSIONS In this study of young adults from the general population, past year cannabis use was associated with later prescriptions of antipsychotics, mood stabilizers, and antidepressants.
Collapse
Affiliation(s)
- Eline Borger Rognli
- Section for Clinical Addiction Research, Department on Substance Use Disorder Treatment, Oslo University Hospital, Oslo, Norway
| | - Jørgen Gustav Bramness
- Norwegian National Advisory Unit on Concurrent Substance Abuse and Mental Health Disorders, Innlandet Hospital Trust, Hamar, Norway.,Institute for Clinical Medicine, University of Tromsø - The Arctic University of Norway, Tromsø, Norway.,Norwegian Institute of Public Health, Oslo, Norway
| | - Tilmann von Soest
- Department of Psychology, PROMENTA Research Center, University of Oslo, Oslo, Norway.,Norwegian Social Research (NOVA), OsloMet - Oslo Metropolitan University, Norway
| |
Collapse
|
48
|
Makowski C, Lewis JD, Lepage C, Malla AK, Joober R, Lepage M, Evans AC. Structural Associations of Cortical Contrast and Thickness in First Episode Psychosis. Cereb Cortex 2019; 29:5009-5021. [PMID: 30844050 PMCID: PMC6918925 DOI: 10.1093/cercor/bhz040] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/22/2019] [Indexed: 01/22/2023] Open
Abstract
There is growing evidence that psychosis is characterized by brain network abnormalities. Analyzing morphological abnormalities with T1-weighted structural MRI may be limited in discovering the extent of deviations in cortical associations. We assess whether structural associations of either cortical white-gray contrast (WGC) or cortical thickness (CT) allow for a better understanding of brain structural relationships in first episode of psychosis (FEP) patients. Principal component and structural covariance analyses were applied to WGC and CT derived from T1-weighted MRI for 116 patients and 88 controls, to explore sets of brain regions that showed group differences, and associations with symptom severity and cognitive ability in patients. We focused on 2 principal components: one encompassed primary somatomotor regions, which showed trend-like group differences in WGC, and the second included heteromodal cortices. Patients' component scores were related to general psychopathology for WGC, but not CT. Structural covariance analyses with WGC revealed group differences in pairwise correlations across widespread brain regions, mirroring areas derived from PCA. More group differences were uncovered with WGC compared with CT. WGC holds potential as a proxy measure of myelin from commonly acquired T1-weighted MRI and may be sensitive in detecting systems-level aberrations in early psychosis, and relationships with clinical/cognitive profiles.
Collapse
Affiliation(s)
- Carolina Makowski
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Montreal, Canada
- Department of Psychiatry, McGill University, Verdun, Canada
| | - John D Lewis
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Montreal, Canada
| | - Claude Lepage
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Montreal, Canada
| | - Ashok K Malla
- Department of Psychiatry, McGill University, Verdun, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, Canada
| | - Ridha Joober
- Department of Psychiatry, McGill University, Verdun, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, Canada
| | - Martin Lepage
- Department of Psychiatry, McGill University, Verdun, Canada
- Prevention and Early Intervention Program for Psychosis, Douglas Mental Health University Institute, Verdun, Canada
| | - Alan C Evans
- McGill Centre for Integrative Neuroscience, McGill University, Montreal, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
- Ludmer Centre for Neuroinformatics and Mental Health, Montreal, Canada
| |
Collapse
|
49
|
Appaji A, Nagendra B, Chako DM, Padmanabha A, Jacob A, Hiremath CV, Varambally S, Kesavan M, Venkatasubramanian G, Rao SV, Webers CAB, Berendschot TTJM, Rao NP. Examination of retinal vascular trajectory in schizophrenia and bipolar disorder. Psychiatry Clin Neurosci 2019; 73:738-744. [PMID: 31400288 DOI: 10.1111/pcn.12921] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 07/24/2019] [Accepted: 08/06/2019] [Indexed: 12/11/2022]
Abstract
AIM Evidence suggests microvascular dysfunction (wider retinal venules and narrower arterioles) in schizophrenia (SCZ) and bipolar disorder (BD). The vascular development is synchronous with neuronal development in the retina and brain. The retinal vessel trajectory is related to retinal nerve fiber layer thinning and cerebrovascular abnormalities in SCZ and BD and has not yet been examined. Hence, in this study we examined the retinal vascular trajectory in SCZ and BD in comparison with healthy volunteers (HV). METHODS Retinal images were acquired from 100 HV, SCZ patients, and BD patients, respectively, with a non-mydriatic fundus camera. Images were quantified to obtain the retinal arterial and venous trajectories using a validated, semiautomated algorithm. Analysis of covariance and regression analyses were conducted to examine group differences. A supervised machine-learning ensemble of bagged-trees method was used for automated classification of trajectory values. RESULTS There was a significant difference among groups in both the retinal venous trajectory (HV: 0.17 ± 0.08; SCZ: 0.25 ± 0.17; BD: 0.27 ± 0.20; P < 0.001) and the arterial trajectory (HV: 0.34 ± 0.15; SCZ: 0.29 ± 0.10; BD: 0.29 ± 0.11; P = 0.003) even after adjusting for age and sex (P < 0.001). On post-hoc analysis, the SCZ and BD groups differed from the HV on retinal venous and arterial trajectories, but there was no difference between SCZ and BD patients. The machine learning showed an accuracy of 86% and 73% for classifying HV versus SCZ and BD, respectively. CONCLUSION Smaller trajectories of retinal arteries indicate wider and flatter curves in SCZ and BD. Considering the relation between retinal/cerebral vasculatures and retinal nerve fiber layer thinness, the retinal vascular trajectory is a potential marker for SCZ and BD. As a relatively affordable investigation, retinal fundus photography should be further explored in SCZ and BD as a potential screening measure.
Collapse
Affiliation(s)
- Abhishek Appaji
- Department of Medical Electronics, B. M. S. College of Engineering, Bangalore, India.,University Eye Clinic Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Bhargavi Nagendra
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Dona M Chako
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Ananth Padmanabha
- Department of Medical Electronics, B. M. S. College of Engineering, Bangalore, India
| | - Arpitha Jacob
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Chaitra V Hiremath
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Shivarama Varambally
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Muralidharan Kesavan
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | | | - Shyam V Rao
- Department of Medical Electronics, B. M. S. College of Engineering, Bangalore, India.,University Eye Clinic Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Carroll A B Webers
- University Eye Clinic Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Tos T J M Berendschot
- University Eye Clinic Maastricht, Maastricht University, Maastricht, The Netherlands
| | - Naren P Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| |
Collapse
|
50
|
Palaniyappan L, Deshpande G, Lanka P, Rangaprakash D, Iwabuchi S, Francis S, Liddle PF. Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level. Schizophr Res 2019; 214:24-33. [PMID: 29398207 DOI: 10.1016/j.schres.2018.01.006] [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: 09/27/2017] [Revised: 01/08/2018] [Accepted: 01/11/2018] [Indexed: 01/02/2023]
Abstract
OBJECTIVE Schizophrenia spectrum disorders (SSD) and psychotic bipolar disorder share a number of genetic and neurobiological features, despite a divergence in clinical course and outcome trajectories. We studied the diagnostic classification potential that can be achieved on the basis of the structure and connectivity within a triple network system (the default mode, salience and central executive network) in patients with SSD and psychotic bipolar disorder. METHODS Directed static connectivity and its dynamic variance was estimated among 8 nodes of the three large-scale networks. Multivariate autoregressive models of deconvolved resting state functional magnetic resonance imaging time series were obtained from 57 patients (38 with SSD and 19 with bipolar disorder and psychosis). We used 2/3 of the patients for training and validation of the classifier and the remaining 1/3 as an independent hold-out test data for performance estimation. RESULTS A high level of discrimination between bipolar disorder with psychosis and SSD (combined balanced accuracy = 96.2%; class accuracies 100% for bipolar and 92.3% for SSD) was achieved when effective connectivity and morphometry of the triple network nodes was combined with symptom scores. Patients with SSD were discriminated from patients with bipolar disorder and psychosis as showing higher clinical severity of disorganization and higher variability in the effective connectivity between salience and executive networks. CONCLUSIONS Our results support the view that the study of network-level connectivity patterns can not only clarify the pathophysiology of SSD but also provide a measure of excellent clinical utility to identify discrete diagnostic/prognostic groups among individuals with psychosis.
Collapse
Affiliation(s)
- Lena Palaniyappan
- Department of Psychiatry, University of Western Ontario, London, ON, Canada; Robarts Research Institute, University of Western Ontario, London, ON, Canada; Lawson Health Research Institute, London, ON, Canada.
| | - Gopikrishna Deshpande
- AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA; Department of Psychology, Auburn University, Auburn, AL, USA; Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, AL, USA.
| | - Pradyumna Lanka
- AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - D Rangaprakash
- AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Sarina Iwabuchi
- Centre for Translational Neuroimaging, Division of Psychiatry & Applied Psychology, Institute of Mental Health, University of Nottingham, UK
| | - Susan Francis
- Sir Peter Mansfield MR Centre, University of Nottingham, UK
| | - Peter F Liddle
- Centre for Translational Neuroimaging, Division of Psychiatry & Applied Psychology, Institute of Mental Health, University of Nottingham, UK
| |
Collapse
|