1
|
Costas-Carrera A, Verdolini N, Garcia-Rizo C, Mezquida G, Janssen J, Valli I, Corripio I, Sanchez-Torres AM, Bioque M, Lobo A, Gonzalez-Pinto A, Rapado-Castro M, Vieta E, De la Serna H, Mane A, Roldan A, Crossley N, Penades R, Cuesta MJ, Parellada M, Bernardo M. Difficulties during delivery, brain ventricle enlargement and cognitive impairment in first episode psychosis. Psychol Med 2024; 54:1339-1349. [PMID: 38014924 DOI: 10.1017/s0033291723003185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
BACKGROUND Patients with a first episode of psychosis (FEP) display clinical, cognitive, and structural brain abnormalities at illness onset. Ventricular enlargement has been identified in schizophrenia since the initial development of neuroimaging techniques. Obstetric abnormalities have been associated with an increased risk of developing psychosis but also with cognitive impairment and brain structure abnormalities. Difficulties during delivery are associated with a higher risk of birth asphyxia leading to brain structural abnormalities, such as ventriculomegaly, which has been related to cognitive disturbances. METHODS We examined differences in ventricular size between 142 FEP patients and 123 healthy control participants using magnetic resonance imaging. Obstetric complications were evaluated using the Lewis-Murray scale. We examined the impact of obstetric difficulties during delivery on ventricle size as well as the possible relationship between ventricle size and cognitive impairment in both groups. RESULTS FEP patients displayed significantly larger third ventricle size compared with healthy controls. Third ventricle enlargement was associated with diagnosis (higher volume in patients), with difficulties during delivery (higher volume in subjects with difficulties), and was highest in patients with difficulties during delivery. Verbal memory was significantly associated with third ventricle to brain ratio. CONCLUSIONS Our results suggest that difficulties during delivery might be significant contributors to the ventricular enlargement historically described in schizophrenia. Thus, obstetric complications may contribute to the development of psychosis through changes in brain architecture.
Collapse
Affiliation(s)
| | - Norma Verdolini
- Department of Mental Health, Umbria 1 Mental Health Center, Perugia, Italy
| | - Clemente Garcia-Rizo
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Joost Janssen
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institute of Psychiatry Psychology and Neuroscience, King's College London, UK
| | - Iluminada Corripio
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Psychiatry, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Ana M Sanchez-Torres
- Department of Psychiatry, Navarra University Hospital, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Antonio Lobo
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Medicine and Psychiatry, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Ana Gonzalez-Pinto
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, BIOARABA, Spain
| | - Marta Rapado-Castro
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, 161 Barry Street, Carlton South, Victoria 3053, Australia
| | - Eduard Vieta
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Institute of Neurosciences, Barcelona, Spain
| | - Helena De la Serna
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Anna Mane
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Hospital del Mar Medical Research Institute (IMIM), Pompeu Fabra University, Barcelona, Spain
| | - Alexandra Roldan
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Psychiatry, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Nicolas Crossley
- Biomedical Imaging Center, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile
- Department of Psychiatry, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Rafael Penades
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Navarra University Hospital, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Miquel Bernardo
- Barcelona Clínic Schizophrenia Unit (BCSU), Neuroscience Institute, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| |
Collapse
|
2
|
Segura AG, Serna EDL, Sugranyes G, Baeza I, Valli I, Martínez-Serrano I, Díaz-Caneja CM, Andreu-Bernabeu Á, Moreno DM, Gassó P, Rodríguez N, Martínez-Pinteño A, Prohens L, Torrent C, García-Rizo C, Mas S, Castro-Fornieles J. Polygenic risk scores mediating functioning outcomes through cognitive and clinical features in youth at family risk and controls. Eur Neuropsychopharmacol 2024; 81:28-37. [PMID: 38310718 DOI: 10.1016/j.euroneuro.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/06/2024]
Abstract
Schizophrenia and bipolar disorder exhibit substantial clinical overlap, particularly in individuals at familial high risk, who frequently present sub-threshold symptoms before the onset of illness. Severe mental disorders are highly polygenic traits, but their impact on the stages preceding the manifestation of mental disorders remains relatively unexplored. Our study aimed to examine the influence of polygenic risk scores (PRS) on sub-clinical outcomes over a 2-year period in youth at familial high risk for schizophrenia and bipolar disorder and controls. The sample included 222 children and adolescents, comprising offspring of parents with schizophrenia (n = 38), bipolar disorder (n = 80), and community controls (n = 104). We calculated PRS for psychiatric disorders, neuroticism and cognition using the PRS-CS method. Linear mixed-effects models were employed to investigate the association between PRS and cognition, symptom severity and functioning. Mediation analyses were conducted to explore whether clinical features acted as intermediaries in the impact of PRS on functioning outcomes. SZoff exhibited elevated PRS for schizophrenia. In the entire sample, PRS for depression, neuroticism, and cognitive traits showed associations with sub-clinical features. The effect of PRS for neuroticism and general intelligence on functioning outcomes were mediated by cognition and symptoms severity, respectively. This study delves into the interplay among genetics, the emergence of sub-clinical symptoms and functioning outcomes, providing novel evidence on mechanisms underpinning the continuum from sub-threshold features to the onset of mental disorders. The findings underscore the interplay of genetics, cognition, and clinical features, providing insights for personalized early interventions.
Collapse
Affiliation(s)
- Alex G Segura
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gisela Sugranyes
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Isabel Valli
- Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Irene Martínez-Serrano
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Covadonga M Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Álvaro Andreu-Bernabeu
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Dolores M Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Adolescent Inpatient Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Psychiatry Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Patricia Gassó
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Natalia Rodríguez
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Albert Martínez-Pinteño
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Llucia Prohens
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Carla Torrent
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Bipolar Disorders Program, Clinical Institute of Neuroscience, Hospital Clinic, University of Barcelona, Fundació Clinic - Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Clemente García-Rizo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sergi Mas
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain; Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain; Child and Adolescent Psychiatry and Psychology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| |
Collapse
|
3
|
Masias Bruns M, Ramirez-Mahaluf JP, Valli I, Ortuño M, Ilzarbe D, de la Serna E, Navarro OP, Crossley NA, González Ballester MÁ, Baeza I, Piella G, Castro-Fornieles J, Sugranyes G. Altered Temporal Dynamics of Resting-State Functional Magnetic Resonance Imaging in Adolescent-Onset First-Episode Psychosis. Schizophr Bull 2024; 50:418-426. [PMID: 37607335 PMCID: PMC10919773 DOI: 10.1093/schbul/sbad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
BACKGROUND Dynamic functional connectivity (dFC) alterations have been reported in patients with adult-onset and chronic psychosis. We sought to examine whether such abnormalities were also observed in patients with first episode, adolescent-onset psychosis (AOP), in order to rule out potential effects of chronicity and protracted antipsychotic treatment exposure. AOP has been suggested to have less diagnostic specificity compared to psychosis with onset in adulthood and occurs during a period of neurodevelopmental changes in brain functional connections. STUDY DESIGN Seventy-nine patients with first episode, AOP (36 patients with schizophrenia-spectrum disorder, SSD; and 43 with affective psychotic disorder, AF) and 54 healthy controls (HC), aged 10 to 17 years were included. Participants underwent clinical and cognitive assessments and resting-state functional magnetic resonance imaging. Graph-based measures were used to analyze temporal trajectories of dFC, which were compared between patients with SSD, AF, and HC. Within patients, we also tested associations between dFC parameters and clinical variables. STUDY RESULTS Patients with SSD temporally visited the different connectivity states in a less efficient way (reduced global efficiency), visiting fewer nodes (larger temporal modularity, and increased immobility), with a reduction in the metabolic expenditure (cost and leap size), relative to AF and HC (effect sizes: Cohen's D, ranging 0.54 to.91). In youth with AF, these parameters did not differ compared to HC. Connectivity measures were not associated with clinical severity, intelligence, cannabis use, or dose of antipsychotic medication. CONCLUSIONS dFC measures hold potential towards the development of brain-based biomarkers characterizing adolescent-onset SSD.
Collapse
Affiliation(s)
- Mireia Masias Bruns
- BCN-MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Juan Pablo Ramirez-Mahaluf
- BCN-MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Isabel Valli
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - María Ortuño
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Daniel Ilzarbe
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Elena de la Serna
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
| | - Olga Puig Navarro
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
| | - Nicolas A Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Miguel Ángel González Ballester
- BCN-MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Inmaculada Baeza
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Gemma Piella
- BCN-MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Gisela Sugranyes
- Clinical and Experimental Neuroscience, Fundació de Recerca Clínic Barcelona, Institut d’Investigacions Biomèdiques Agustí Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Child and Adolescent Psychiatry, 2017SGR881, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Group G04, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| |
Collapse
|
4
|
Baeza I, de la Serna E, Mezquida G, Cuesta MJ, Vieta E, Amoretti S, Lobo A, González-Pinto A, Díaz-Caneja CM, Corripio I, Valli I, Puig O, Mané A, Bioque M, Ayora M, Bernardo M, Castro-Fornieles J. Prodromal symptoms and the duration of untreated psychosis in first episode of psychosis patients: what differences are there between early vs. adult onset and between schizophrenia vs. bipolar disorder? Eur Child Adolesc Psychiatry 2024; 33:799-810. [PMID: 37027026 PMCID: PMC10894175 DOI: 10.1007/s00787-023-02196-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 03/10/2023] [Indexed: 04/08/2023]
Abstract
To assess the role of age (early onset psychosis-EOP < 18 years vs. adult onset psychosis-AOP) and diagnosis (schizophrenia spectrum disorders-SSD vs. bipolar disorders-BD) on the duration of untreated psychosis (DUP) and prodromal symptoms in a sample of patients with a first episode of psychosis. 331 patients with a first episode of psychosis (7-35 years old) were recruited and 174 (52.6%) diagnosed with SSD or BD at one-year follow-up through a multicenter longitudinal study. The Symptom Onset in Schizophrenia (SOS) inventory, the Positive and Negative Syndrome Scale and the structured clinical interviews for DSM-IV diagnoses were administered. Generalized linear models compared the main effects and group interaction. 273 AOP (25.2 ± 5.1 years; 66.5% male) and 58 EOP patients (15.5 ± 1.8 years; 70.7% male) were included. EOP patients had significantly more prodromal symptoms with a higher frequency of trouble with thinking, avolition and hallucinations than AOP patients, and significantly different median DUP (91 [33-177] vs. 58 [21-140] days; Z = - 2.006, p = 0.045). This was also significantly longer in SSD vs. BD patients (90 [31-155] vs. 30 [7-66] days; Z = - 2.916, p = 0.004) who, moreover had different profiles of prodromal symptoms. When assessing the interaction between age at onset (EOP/AOP) and type of diagnosis (SSD/BD), avolition was significantly higher (Wald statistic = 3.945; p = 0.047), in AOP patients with SSD compared to AOP BD patients (p = 0.004). Awareness of differences in length of DUP and prodromal symptoms in EOP vs. AOP and SSD vs. BD patients could help improve the early detection of psychosis among minors.
Collapse
Affiliation(s)
- Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain.
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain.
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain.
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
| | - Gisela Mezquida
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona. IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Silvia Amoretti
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Bipolar and Depressive Disorder Unit, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
- Group of Psychiatry, Psychiatric Genetics Unit, Mental Health and Addictions, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Antonio Lobo
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine and Psychiatry, Hospital Clínico Universitario and Instituto de Investigación Sanitaria (IIS) Aragón, Universidad de Zaragoza, Zaragoza, Spain
| | - Ana González-Pinto
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Psychiatry, Hospital Universitario de Alava, BIOARABA, EHU, Vitoria, Spain
| | - Covadonga M Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, IiSGM, Madrid, Spain
| | - Iluminada Corripio
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Psychiatry Department, Institut d'Investigació Biomèdica-Sant Pau (IIB-SANT PAU), Hospital de La Santa Creu I Sant Pau, Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Olga Puig
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Anna Mané
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Pompeu Fabra University, Barcelona, Spain
| | - Miquel Bioque
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Miriam Ayora
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, School of Medicine, Hospital General Universitario Gregorio Marañón, Universidad Complutense, IiSGM, Madrid, Spain
| | - Miquel Bernardo
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Neuroscience Institute, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clínic de Barcelona, 2021SGR01319, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM-ISCIII, Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (CERCA-IDIBAPS), Barcelona, Spain
- Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| |
Collapse
|
5
|
Grassi E, Zingaretti C, Petracci E, Corbelli J, Papiani G, Banchelli I, Valli I, Frassineti GL, Passardi A, Di Bartolomeo M, Pietrantonio F, Gelsomino F, Carandina I, Banzi M, Martella L, Bonetti AV, Boccaccino A, Molinari C, Marisi G, Ugolini G, Nanni O, Tamberi S. Phase II study of capecitabine-based concomitant chemoradiation followed by durvalumab as a neoadjuvant strategy in locally advanced rectal cancer: the PANDORA trial. ESMO Open 2023; 8:101824. [PMID: 37774508 PMCID: PMC10594026 DOI: 10.1016/j.esmoop.2023.101824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/17/2023] [Accepted: 08/19/2023] [Indexed: 10/01/2023] Open
Abstract
BACKGROUND This study investigated the efficacy of chemoradiotherapy (CRT) followed by durvalumab as neoadjuvant therapy of locally advanced rectal cancer. PATIENTS AND METHODS The PANDORA trial is a prospective, phase II, open-label, single-arm, multicenter study aimed at evaluating the efficacy and safety of preoperative treatment with durvalumab (1500 mg every 4 weeks for three administrations) following long-course radiotherapy (RT) plus concomitant capecitabine (5040 cGy RT in 25-28 fractions over 5 weeks and capecitabine administered at 825 mg/m2 twice daily). The primary endpoint was the pathological complete response (pCR) rate; secondary endpoints were the proportion of clinical complete remissions and safety. The sample size was estimated assuming a null pCR proportion of 0.15 and an alternative pCR proportion of 0.30 (α = 0.05, power = 0.80). The proposed treatment could be considered promising if ≥13 pCRs were observed in 55 patients (EudraCT: 2018-004758-39; NCT04083365). RESULTS Between November 2019 and August 2021, 60 patients were accrued, of which 55 were assessable for the study's objectives. Two patients experienced disease progression during treatment. Nineteen out of 55 eligible patients achieved a pCR (34.5%, 95% confidence interval 22.2% to 48.6%). Regarding toxicity related to durvalumab, grade 3 adverse events (AEs) occurred in four patients (7.3%) (diarrhea, skin toxicity, transaminase increase, lipase increase, and pancolitis). Grade 4 toxicity was not observed. In 20 patients (36.4%), grade 1-2 AEs related to durvalumab were observed. The most common were endocrine toxicity (hyper/hypothyroidism), dermatologic toxicity (skin rash), and gastrointestinal toxicity (transaminase increase, nausea, diarrhea, constipation). CONCLUSION This study met its primary endpoint showing that CRT followed by durvalumab could increase pCR with a safe toxicity profile. This combination is a promising, feasible strategy worthy of further investigation.
Collapse
Affiliation(s)
- E Grassi
- Medical Oncology Unit, "Degli Infermi" Hospital, AUSL della Romagna, Faenza
| | - C Zingaretti
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - E Petracci
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - J Corbelli
- Medical Oncology Unit, "Degli Infermi" Hospital, AUSL della Romagna, Faenza
| | - G Papiani
- Medical Oncology Unit, "Santa Maria delle Croci" Hospital, AUSL della Romagna, Ravenna
| | - I Banchelli
- Pathology Unit, "Santa Maria delle Croci" Hospital, AUSL della Romagna, Ravenna
| | - I Valli
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - G L Frassineti
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - A Passardi
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - M Di Bartolomeo
- Gastroenterological Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - F Pietrantonio
- Gastroenterological Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - F Gelsomino
- Department of Oncology and Hematology, Division of Oncology, University Hospital of Modena, Modena
| | - I Carandina
- Department of Medical Oncology, "Sant'Anna" University Hospital of Ferrara, Ferrara
| | - M Banzi
- Medical Oncology Unit, "Santa Maria Nuova" Hospital, AUSL-IRCCS di Reggio Emilia, Reggio Emilia
| | - L Martella
- Department of Medical Oncology, "Sant'Anna" University Hospital of Ferrara, Ferrara
| | - A V Bonetti
- Department of Medical Oncology, "Mater Salutis" Hospital, Legnago
| | - A Boccaccino
- Medical Oncology Unit, "Santa Maria delle Croci" Hospital, AUSL della Romagna, Ravenna
| | - C Molinari
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - G Marisi
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - G Ugolini
- General Surgery Unit, "Santa Maria delle Croci" Hospital, AUSL della Romagna, Ravenna, Italy
| | - O Nanni
- Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola
| | - S Tamberi
- Medical Oncology Unit, "Degli Infermi" Hospital, AUSL della Romagna, Faenza; Medical Oncology Unit, "Santa Maria delle Croci" Hospital, AUSL della Romagna, Ravenna.
| |
Collapse
|
6
|
Valli I, Gonzalez Segura A, Verdolini N, Garcia-Rizo C, Berge D, Baeza I, Cuesta MJ, Gonzalez-Pinto A, Lobo A, Martinez-Aran A, Mezquida G, Pina-Camacho L, Roldan Bejarano A, Mas S, McGuire P, Bernardo M, Vieta E. Obstetric complications and genetic risk for schizophrenia: Differential role of antenatal and perinatal events in first episode psychosis. Acta Psychiatr Scand 2023; 148:81-90. [PMID: 36912272 DOI: 10.1111/acps.13546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/09/2023] [Accepted: 02/27/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Obstetric complications (OCs) are key contributors to psychosis risk. However, it is unclear whether they increase psychosis vulnerability independently of genetic risk, in interaction with it, or are a manifestation of psychosis proneness. We examined the role of distinct types of OCs in terms of psychosis risk and tested whether they interact differently with genetic vulnerability, whilst accounting for other known environmental risk factors. STUDY DESIGN 405 participants (219 first episode psychosis patients and 186 healthy volunteers) underwent a comprehensive assessment of OCs, measured using the Lewis-Murray scale and divided into complications of pregnancy, abnormalities of foetal growth and development, and complications of delivery. Participants were compared in terms of history of OCs, polygenic risk score for schizophrenia (PRS-SZ) and interactions between these. RESULTS Both complications of pregnancy and abnormalities of foetal growth were significantly associated with case-control status (p = 0.02 and 0.03, respectively), whereas complications of delivery were not. PRS-SZ showed a significant association with psychosis (p = 0.04), but there were no significant interactions between genetic risk for schizophrenia and OCs, either when these were considered globally or separated based on their timeframe. CONCLUSIONS We observed no significant interaction between genetic and obstetric vulnerability, yet distinct types of OCs may have a different impact on psychosis risk, based on their nature and timeframe. Examining their differential role might clarify their relative contributions to this risk.
Collapse
Affiliation(s)
- Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Alex Gonzalez Segura
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Norma Verdolini
- Department of Mental Health, Umbria 1 Mental Health Center, Perugia, Italy
| | - Clemente Garcia-Rizo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
| | - Daniel Berge
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
- Universitat Pompeu Fabra, MELIS Department, Barcelona, Spain
| | - Inmaculada Baeza
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
| | - Manuel J Cuesta
- Department of Psychiatry, Navarra University Hospital, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Ana Gonzalez-Pinto
- Department of Psychiatry, Hospital Universitario de Alava, UPV/EHU, BIOARABA, Vitoria, Spain
| | - Antonio Lobo
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Medicine and Psychiatry, University of Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
| | - Anabel Martinez-Aran
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Bipolar and Depressive Unit, Hospital Clinic de Barcelona, Institute of Neurosciences, Barcelona, Spain
| | - Gisela Mezquida
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institute of Neurosciences, University of Barcelona, Spain
| | - Laura Pina-Camacho
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- School of Medicine, Complutense University, Madrid, Spain
| | - Alexandra Roldan Bejarano
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Department of Psychiatry, Institut d'Investigació Biomèdica Sant Pau, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry, Autonoma University of Barcelona, Barcelona, Spain
| | - Sergi Mas
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Miquel Bernardo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Barcelona Clínic Schizophrenia Unit (BCSU), Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institute of Neurosciences, University of Barcelona, Spain
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Centro de Investigación Biomédica en red de salud Mental (CIBERSAM), Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Bipolar and Depressive Unit, Hospital Clinic de Barcelona, Institute of Neurosciences, Barcelona, Spain
| |
Collapse
|
7
|
Valli I, McGuire P. Genetic and obstetric risk in psychosis: Towards a hypothesis-based probe of different noxae. Eur Neuropsychopharmacol 2023; 72:6-8. [PMID: 36958231 DOI: 10.1016/j.euroneuro.2023.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/25/2023]
Affiliation(s)
- Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, UK.
| | | |
Collapse
|
8
|
Zugman A, Alliende L, Medel V, Bethlehem RA, Seidlitz J, Ringlein G, Arango C, Arnatkevičiūtė A, Asmal L, Bellgrove M, Benegal V, Bernardo M, Billeke P, Bosch-Bayard J, Bressan R, Busatto G, Castro M, Chaim-Avancini T, Compte A, Costanzi M, Czepielewski L, Dazzan P, de la Fuente-Sandoval C, Di Forti M, Díaz-Caneja C, María Díaz-Zuluaga A, Du Plessis S, Duran F, Fittipaldi S, Fornito A, Freimer N, Gadelha A, Gama C, Garani R, Garcia-Rizo C, Gonzalez Campo C, Gonzalez-Valderrama A, Guinjoan S, Holla B, Ibañez A, Ivanovic D, Jackowski A, Leon-Ortiz P, Lochner C, López-Jaramillo C, Luckhoff H, Massuda R, McGuire P, Miyata J, Mizrahi R, Murray R, Ozerdem A, Pan P, Parellada M, Phahladira L, Ramirez-Mahaluf J, Reckziegel R, Reis Marques T, Reyes-Madrigal F, Roos A, Rosa P, Salum G, Scheffler F, Schumann G, Serpa M, Stein D, Tepper A, Tiego J, Ueno T, Undurraga J, Undurraga E, Valdes-Sosa P, Valli I, Villarreal M, Winton-Brown T, Yalin N, Zamorano F, Zanetti M, Winkler A, Pine D, Evans-Lacko S, Crossley N. Country-level gender inequality is associated with structural differences in the brains of women and men. Proc Natl Acad Sci U S A 2023; 120:e2218782120. [PMID: 37155867 PMCID: PMC10193926 DOI: 10.1073/pnas.2218782120] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 03/15/2023] [Indexed: 05/10/2023] Open
Abstract
Gender inequality across the world has been associated with a higher risk to mental health problems and lower academic achievement in women compared to men. We also know that the brain is shaped by nurturing and adverse socio-environmental experiences. Therefore, unequal exposure to harsher conditions for women compared to men in gender-unequal countries might be reflected in differences in their brain structure, and this could be the neural mechanism partly explaining women's worse outcomes in gender-unequal countries. We examined this through a random-effects meta-analysis on cortical thickness and surface area differences between adult healthy men and women, including a meta-regression in which country-level gender inequality acted as an explanatory variable for the observed differences. A total of 139 samples from 29 different countries, totaling 7,876 MRI scans, were included. Thickness of the right hemisphere, and particularly the right caudal anterior cingulate, right medial orbitofrontal, and left lateral occipital cortex, presented no differences or even thicker regional cortices in women compared to men in gender-equal countries, reversing to thinner cortices in countries with greater gender inequality. These results point to the potentially hazardous effect of gender inequality on women's brains and provide initial evidence for neuroscience-informed policies for gender equality.
Collapse
Affiliation(s)
- André Zugman
- Section on Development and Affective Neuroscience (SDAN), Emotion and Development Branch (E & D), National Institute of Mental Health, National Institutes of Health, BethesdaMD20894
| | - Luz María Alliende
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago8330077, Chile
- Department of Psychology, Northwestern University, Evanston, IL60208
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago7941169, Chile
| | - Richard A.I. Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, CambridgeCB2 8AH, United Kingdom
- Department of Psychology, University of Cambridge, CambridgeCB2 3EB, United Kingdom
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA19104
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children’s Hospital of Philadelphia, Philadelphia, PA19104
- Penn-Children’s Hospital of Philadelphia Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA19104
| | - Grace Ringlein
- Section on Development and Affective Neuroscience (SDAN), Emotion and Development Branch (E & D), National Institute of Mental Health, National Institutes of Health, BethesdaMD20894
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IISGM), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), School of Medicine, Universidad Complutense, Madrid28009, Spain
| | - Aurina Arnatkevičiūtė
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC3168, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC3168, Australia
| | - Laila Asmal
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town7602, South Africa
| | - Mark Bellgrove
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC3168, Australia
| | - Vivek Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, Karnataka560029, India
| | - Miquel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d’Investigacions Biomèdiques, August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona08036, Spain
| | - Pablo Billeke
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago7610658, Chile
| | - Jorge Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, QCH3A 2B4, Canada
- McGill University, Montreal, QCH3A 2B4, Canada
| | - Rodrigo Bressan
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo04039-032, Brazil
| | - Geraldo F. Busatto
- Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo05403-903, Brazil
| | - Mariana N. Castro
- Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta (INAAC), Fleni-Consejo Nacional de Investigaciones Científicas y Técnicas Neurosciences Institute (INEU), Ciudad Autónoma de Buenos AiresC1428, Argentina
- Department of Psychiatry and Mental Health, School of Medicine, University of Buenos Aires, Ciudad Autónoma de Buenos AiresC1114AAD, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresC1033AAJ, Argentina
| | - Tiffany Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo (HCFMUSP), Faculdade de Medicina Universidade de São Paulo, São PauloSP05403-903, Brazil
| | - Albert Compte
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona08036, Spain
| | - Monise Costanzi
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto AlegreRS90035-007, Brazil
| | - Leticia Czepielewski
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto AlegreRS90035-007, Brazil
- Programa de Pós-Graduação em Psicologia, Instituto Psicologia, Universidade Federal do Rio Grande do Sul, Porto AlegreRS90040-060, Brazil
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Direction of Research, Instituto Nacional de Neurología y Neurocirugía, Mexico City14269, Mexico
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
- National Institute for Health Research (NIHR), Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, King’s College London, LondonSE5 8AZ, United Kingdom
| | - Covadonga M. Díaz-Caneja
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IISGM), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), School of Medicine, Universidad Complutense, Madrid28009, Spain
| | - Ana María Díaz-Zuluaga
- Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín050011, Colombia
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior Los Angeles, University of California Los Angeles (UCLA), Los Angeles, CA90024
| | - Stefan Du Plessis
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town7602, South Africa
- South African Medical Research Council (SA MRC), Genomics of Brain Disorders Unit, Cape Town7505, South Africa
| | - Fabio L. S. Duran
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo (HCFMUSP), Faculdade de Medicina Universidade de São Paulo, São PauloSP05403-903, Brazil
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago7941169, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Victoria, Ciudad Autónoma de Buenos AiresB1644BID, Argentina
- Global Brain Health Institute (GBHI), Trinity College Dublin (TCD), DublinDO2 PN40, Ireland
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA94158
| | - Alex Fornito
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC3168, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC3168, Australia
| | - Nelson B. Freimer
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior Los Angeles, University of California Los Angeles (UCLA), Los Angeles, CA90024
| | - Ary Gadelha
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo04039-032, Brazil
| | - Clarissa S. Gama
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto AlegreRS90035-007, Brazil
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, RS90035903, Brazil
| | - Ranjini Garani
- Integrated Program in Neuroscience, McGill University, Montreal, QuebecH3A 1A12B4Canada
| | - Clemente Garcia-Rizo
- Barcelona Clinic Schizophrenia Unit, Hospital Clínic de Barcelona, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d’Investigacions Biomèdiques, August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), Instituto de Salud Carlos III (ISCIII), Barcelona08036, Spain
| | - Cecilia Gonzalez Campo
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresC1033AAJ, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Victoria, Ciudad Autónoma de Buenos AiresB1644BID, Argentina
| | - Alfonso Gonzalez-Valderrama
- Early Intervention Program, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago8431621, Chile
- School of Medicine, Universidad Finis Terrae, Santiago7501015, Chile
| | - Salvador Guinjoan
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresC1033AAJ, Argentina
- Laureate Institute for Brain Research, Tulsa, OK74136
| | - Bharath Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, Karnataka560029, India
- Accelerator Program for Discovery in Brain disorders using Stem cells, Department of Psychiatry, NIMHANS, Bengaluru, Karnataka560029, India
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago7941169, Chile
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresC1033AAJ, Argentina
- Cognitive Neuroscience Center (CNC), Universidad de San Andres, Victoria, Ciudad Autónoma de Buenos AiresB1644BID, Argentina
- Global Brain Health Institute (GBHI), Trinity College Dublin (TCD), DublinDO2 PN40, Ireland
- Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, CA94158
| | - Daniza Ivanovic
- Laboratorio de Neurociencia Social y Neuromodulación, Centro de Investigación en Complejidad Social (neuroCICS), Facultad de Gobierno, Universidad del Desarrollo, Santiago7610658, Chile
| | - Andrea Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo04038-000, Brazil
- Department of Education, Information and Communications Technology (ICT) and Learning, Østfold University College, Halden1757, Norway
| | - Pablo Leon-Ortiz
- Laboratory of Experimental Psychiatry, Direction of Research, Instituto Nacional de Neurología y Neurocirugía, Mexico City14269, Mexico
| | - Christine Lochner
- South African Medical Research Council (SA MRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch7505, South Africa
| | - Carlos López-Jaramillo
- Department of Psychiatry, Faculty of Medicine, University of Antioquia, Medellín050011, Colombia
| | - Hilmar Luckhoff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town7602, South Africa
| | - Raffael Massuda
- Department of Psychiatry, Universidade Federal do Paraná (UFPR), CuritibaPR 80060-000, Brazil
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, OxfordOX3 7JX, United Kingdom
- Wellcome Centre for Integrative Neuroimaging (WIN), University of Oxford, OxfordOX3 9DU, United Kingdom
- NIHR Oxford Health Biomedical Research Centre, OxfordOX3 7JX, United Kingdom
- Oxford HealthNational Health Service (NHS), Foundation Trust, OxfordOX4 4XN, United Kingdom
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto606-8507, Japan
| | - Romina Mizrahi
- Integrated Program in Neuroscience, McGill University, Montreal, QuebecH3A 1A12B4Canada
- Clinical and Translational Sciences Lab, McGill University, Douglas Mental Health University Institute, Montreal, QCH4A 1R3, Canada
- Department of Psychiatry, McGill University,Montreal, QCH3A 1A1, Canada
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
| | - Aysegul Ozerdem
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MinnesotaMN55905
| | - Pedro M. Pan
- Interdisciplinary Laboratory in Clinical Neuroscience (LiNC), Department of Psychiatry, Federal University of São Paulo, São Paulo04039-032, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo04038-000, Brazil
| | - Mara Parellada
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IISGM), Centro de Investigación Biomédica en Red Salud Mental (CIBERSAM), School of Medicine, Universidad Complutense, Madrid28009, Spain
| | - Lebogan Phahladira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town7602, South Africa
| | - Juan P. Ramirez-Mahaluf
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago8330077, Chile
| | - Ramiro Reckziegel
- Laboratory of Molecular Psychiatry, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre, Porto AlegreRS90035-007, Brazil
| | - Tiago Reis Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Direction of Research, Instituto Nacional de Neurología y Neurocirugía, Mexico City14269, Mexico
| | - Annerine Roos
- South African Medical Research Council (SA MRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town7925, South Africa
| | - Pedro Rosa
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo (HCFMUSP), Faculdade de Medicina Universidade de São Paulo, São PauloSP05403-903, Brazil
| | - Giovanni Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, RS90035903, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents, São Paulo04038-000, Brazil
| | - Freda Scheffler
- South African Medical Research Council (SA MRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town7925, South Africa
| | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai200433, China
- PONS-Centre, Charité Mental Health, Dept of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin10117, Germany
| | - Mauricio Serpa
- Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo05403-903, Brazil
| | - Dan J. Stein
- South African Medical Research Council (SA MRC) Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town7925, South Africa
| | - Angeles Tepper
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago8330077, Chile
| | - Jeggan Tiego
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, VIC3168, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC3168, Australia
| | - Tsukasa Ueno
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto606-8507, Japan
- Integrated Clinical Education Center, Kyoto University Hospital, Kyoto606-8397, Japan
| | - Juan Undurraga
- Early Intervention Program, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago8431621, Chile
- Department of Neurology and Psychiatry, Faculty of Medicine, Clínica Alemana Universidad del DesarrolloVitacura, Santiago7650568, Chile
| | - Eduardo A. Undurraga
- Escuela de Gobierno, Pontificia Universidad Católica de Chile, Santiago7820436, Chile
- Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago7820436, Chile
- Canadian Institute for Advanced Research (CIFAR), Azrieli Global Scholars Program, CIFAR, Toronto, ONM5G 1M1, Canada
| | - Pedro Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu610054, China
- Centro de Neurociencias de Cuba, La Habana11600, Cuba
| | - Isabel Valli
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona08036, Spain
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
| | - Mirta Villarreal
- Grupo de Investigación en Neurociencias Aplicadas a las Alteraciones de la Conducta (INAAC), Fleni-Consejo Nacional de Investigaciones Científicas y Técnicas Neurosciences Institute (INEU), Ciudad Autónoma de Buenos AiresC1428, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Ciudad Autónoma de Buenos AiresC1033AAJ, Argentina
- Department of Physics, Universidad de Buenos Aires, Ciudad Autónoma deBuenos AiresC1428EGA, Argentina
| | - Toby T. Winton-Brown
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC3004, Australia
- Department of Psychiatry, Alfred Health, Melbourne, VIC3004, Australia
| | - Nefize Yalin
- Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, LondonSE5 8AF, United Kingdom
- South London and Maudsley National Health Service (NHS), Foundation Trust, LondonSE5 8AZ, United Kingdom
| | - Francisco Zamorano
- Unidad de Imágenes Cuantitativas Avanzadas, Departamento de Imágenes, Clínica Alemana de Santiago, Universidad del Desarrollo, Santiago7650568, Chile
- Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Santiago7510602, Chile
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM-21), Departamento e Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo (HCFMUSP), Faculdade de Medicina Universidade de São Paulo, São PauloSP05403-903, Brazil
- Hospital Sírio-Libanês, São Paulo01308-050, Brazil
| | | | - Anderson M. Winkler
- Department of Human Genetics, University of Texas Rio Grande Valley, Brownsville, Texas TX78520
| | - Daniel S. Pine
- Section on Development and Affective Neuroscience (SDAN), Emotion and Development Branch (E & D), National Institute of Mental Health, National Institutes of Health, BethesdaMD20894
| | - Sara Evans-Lacko
- Care Policy and Evaluation Centre, School of Economics and Political Science, LondonWC2A 2AE, United Kingdom
| | - Nicolas A. Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago8330077, Chile
- Department of Psychiatry, University of Oxford, OxfordOX3 7JX, United Kingdom
| |
Collapse
|
9
|
Segura AG, de la Serna E, Sugranyes G, Baeza I, Valli I, Díaz-Caneja C, Martín N, Moreno DM, Gassó P, Rodriguez N, Mas S, Castro-Fornieles J. Epigenetic age deacceleration in youth at familial risk for schizophrenia and bipolar disorder. Transl Psychiatry 2023; 13:155. [PMID: 37156786 PMCID: PMC10167217 DOI: 10.1038/s41398-023-02463-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 05/10/2023] Open
Abstract
Epigenetic modifications occur sequentially during the lifespan, but their pace can be altered by external stimuli. The onset of schizophrenia and bipolar disorder is critically modulated by stressors that may alter the epigenetic pattern, a putative signature marker of exposure to environmental risk factors. In this study, we estimated the age-related epigenetic modifications to assess the differences between young individuals at familial high risk (FHR) and controls and their association with environmental stressors. The sample included 117 individuals (6-17 years) at FHR (45%) and a control group (55%). Blood and saliva samples were used estimate the epigenetic age with six epigenetic clocks through methylation data. Environmental risk was measured with obstetric complications, socioeconomic statuses and recent stressful life events data. Epigenetic age was correlated with chronological age. FHR individuals showed epigenetic age deacceleration of Horvath and Hannum epigenetic clocks compared to controls. No effect of the environmental risk factors on the epigenetic age acceleration could be detected. Epigenetic age acceleration adjusted by cell counts showed that the FHR group was deaccelerated also with the PedBE epigenetic clock. Epigenetic age asynchronicities were found in the young at high risk, suggesting that offspring of affected parents follow a slower pace of biological aging than the control group. It still remains unclear which environmental stressors orchestrate the changes in the methylation pattern. Further studies are needed to better characterize the molecular impact of environmental stressors before illness onset, which could be critical in the development of tools for personalized psychiatry.
Collapse
Affiliation(s)
- Alex G Segura
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Elena de la Serna
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Gisela Sugranyes
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Isabel Valli
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Covadonga Díaz-Caneja
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Nuria Martín
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Dolores M Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Adolescent Inpatient Unit, Department of Psychiatry, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Psychiatry Department, Universidad Complutense de Madrid, Madrid, Spain
| | - Patricia Gassó
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Natalia Rodriguez
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Sergi Mas
- Department of Clinical Foundations, Pharmacology Unit, University of Barcelona, Barcelona, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
| | - Josefina Castro-Fornieles
- Child and Adolescent Psychiatry and Psychology Department, 2021SGR01319, Institute of Neuroscience, Hospital Clínic de Barcelona, Barcelona, Spain
- Department of Medicine, Institute of Neuroscience, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| |
Collapse
|
10
|
Verdolini N, Mezquida G, Valli I, Garcia-Rizo C, Cuesta M, Vieta E, Bioque M, Lobo A, González-Pinto A, Pina-Camacho L, Corripio I, Garriga M, Baeza I, Martínez-Sadurní L, Bitanihirwe B, Cannon M, Bernardo M. Obstetric complications and clinical presentation in first episode of psychosis. Acta Neuropsychiatr 2023; 35:156-164. [PMID: 36861430 DOI: 10.1017/neu.2023.9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
OBJECTIVE Psychotic disorders exhibit a complex aetiology that combines genetic and environmental factors. Among the latter, obstetric complications (OCs) have been widely studied as risk factors, but it is not yet well understood how OCs relate to the heterogeneous presentations of psychotic disorders. We assessed the clinical phenotypes of individuals with a first episode of psychosis (FEP) in relation to the presence of OCs. METHODS Two-hundred seventy-seven patients with an FEP were assessed for OCs using the Lewis-Murray scale, with data stratified into three subscales depending on the timing and the characteristics of the obstetric event, namely: complications of pregnancy, abnormal foetal growth and development and difficulties in delivery. We also considered other two groups: any complications during the pregnancy period and all OCs taken altogether. Patients were clinically evaluated with the Positive and Negative Syndrome Scale for schizophrenia. RESULTS Total OCs and difficulties in delivery were related to more severe psychopathology, and this remained significant after co-varying for age, sex, traumatic experiences, antipsychotic dosage and cannabis use. CONCLUSIONS Our results highlight the relevance of OCs for the clinical presentation of psychosis. Describing the timing of the OCs is essential in understanding the heterogeneity of the clinical presentation.
Collapse
Affiliation(s)
- Norma Verdolini
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Gisela Mezquida
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Clinical Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Isabel Valli
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute of Neurosciences, CIBERSAM, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Clemente Garcia-Rizo
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Clinical Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Manuel Cuesta
- Department of Psychiatry, Navarre Hospital Complex, IdiSNA, Navarre Institute for Health Research, Pamplona, Spain
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Miquel Bioque
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Clinical Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | - Antonio Lobo
- Department of Medicine and Psychiatry, Universidad de Zaragoza; Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza; CIBERSAM, Madrid, Spain
| | - Ana González-Pinto
- Hospital Universitario de Alava, Servicio de Psiquiatría, BIOARABA, CIBERSAM, University of the Basque Country, Spain
| | - Laura Pina-Camacho
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, CIBERSAM, IiSGM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- Department of Psychiatry, CIBERSAM, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Hospital Clinic de Barcelona, Institute of Neuroscience, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Inmaculada Baeza
- Child and Adolescent Psychiatry and Psychology Department, Hospital Clinic of Barcelona, Institute of Neurosciences, CIBERSAM, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Laura Martínez-Sadurní
- Hospital del Mar Medical Research Institute (IMIM), Autonomous University of Barcelona, CIBERSAM, Barcelona, Spain
| | - Byron Bitanihirwe
- The University of Manchester Humanitarian and Conflict Response Institute, UK
| | - Mary Cannon
- Department of Psychiatry, RCSI University of Medicine and Health Science, Dublin, Ireland
| | - Miquel Bernardo
- Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Clinical Institute of Neuroscience, University of Barcelona, CIBERSAM, IDIBAPS, Barcelona, Spain
| | | |
Collapse
|
11
|
Valli I, De la Serna E, Segura AG, Pariente JC, Calvet-Mirabent A, Borras R, Ilzarbe D, Moreno D, Martín-Martínez N, Baeza I, Rosa-Justicia M, Garcia-Rizo C, Díaz-Caneja CM, Crossley NA, Young AH, Vieta E, Mas S, Castro-Fornieles J, Sugranyes G. Genetic and Structural Brain Correlates of Cognitive Subtypes Across Youth at Family Risk for Schizophrenia and Bipolar Disorder. J Am Acad Child Adolesc Psychiatry 2023; 62:74-83. [PMID: 35710081 DOI: 10.1016/j.jaac.2022.05.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/21/2022] [Accepted: 06/06/2022] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Cognitive impairment is an important feature of schizophrenia (SZ) and bipolar disorder (BP) with severity across the two disorders characterized by significant heterogeneity. Youth at family risk for SZ and BP were clustered based on cognitive function and examined in terms of the clinical, genetic, and brain imaging correlates of cluster membership. METHOD One hundred sixty participants, 32 offspring of patients with SZ, 59 offspring of patients with BP and 69 offspring of healthy control parents underwent clinical and cognitive assessments, genotyping and structural MRI. K-means clustering was used to group family risk participants based on cognitive measures. Clusters were compared in terms of cortical and subcortical brain measures as well as polygenic risk scores. RESULTS Participants were grouped in 3 clusters with intact, intermediate, and impaired cognitive performance. The intermediate and impaired clusters had lower total brain surface area compared with the intact cluster, with prominent localization in frontal and temporal cortices. No between-cluster differences were identified in cortical thickness and subcortical brain volumes. The impaired cluster also had poorer psychosocial functioning and worse PRS-COG compared with the other 2 clusters and with offspring of healthy control parents, while there was no significant between-cluster difference in terms of PRS-SZ and PRS-BP. PRS-COG predicted psychosocial functioning, yet this effect did not appear to be mediated by an effect of PRS-COG on brain area. CONCLUSION Stratification based on cognition may help to elucidate the biological underpinnings of cognitive heterogeneity across SZ and BP risk.
Collapse
Affiliation(s)
- Isabel Valli
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London.
| | - Elena De la Serna
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain
| | | | - Jose C Pariente
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | | | - Roger Borras
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Daniel Ilzarbe
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain
| | - Dolores Moreno
- Institute of Neuroscience, Hospital Clínic Barcelona, Spain; Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Nuria Martín-Martínez
- Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Inmaculada Baeza
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain; University of Barcelona, Spain
| | - Mireia Rosa-Justicia
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain
| | - Clemente Garcia-Rizo
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain
| | - Covadonga M Díaz-Caneja
- Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Nicolas A Crossley
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London; Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Allan H Young
- Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London; South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Kent, United Kingdom
| | - Eduard Vieta
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain; University of Barcelona, Spain
| | - Sergi Mas
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; University of Barcelona, Spain
| | - Josefina Castro-Fornieles
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain; University of Barcelona, Spain
| | - Gisela Sugranyes
- Institut d'Investigacions Biomèdiques Agustí Pi I Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Institute of Neuroscience, Hospital Clínic Barcelona, Spain; University of Barcelona, Spain
| |
Collapse
|
12
|
Vouga Ribeiro N, Tavares V, Bramon E, Toulopoulou T, Valli I, Shergill S, Murray R, Prata D. Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation. Psychol Med 2022; 52:1-16. [PMID: 36168994 PMCID: PMC9811278 DOI: 10.1017/s0033291722002896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 08/13/2022] [Accepted: 08/24/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume. METHODS A systematic review for SNPs showing a replicated effect on brain volume yielded 25 studies implicating seven SNPs in five genes. Their effect was then tested in 113 subjects with either schizophrenia, bipolar disorder, 'at risk mental state' or healthy state, for whole-brain and region-of-interest (ROI) associations with grey and white matter volume changes, using voxel-based morphometry. RESULTS We found FWER-corrected (Family-wise error rate) (i.e. statistically significant) associations of: (1) CACNA1C-rs769087-A with larger bilateral hippocampus and thalamus white matter, across the whole brain; and (2) CACNA1C-rs769087-A with larger superior frontal gyrus, as ROI. Higher replication concordance with existing literature was found, in decreasing order, for: (1) CACNA1C-rs769087-A, with larger dorsolateral-prefrontal/superior frontal gyrus and hippocampi (both with anatomical and directional concordance); (2) ZNF804A-rs11681373-A, with smaller angular gyrus grey matter and rectus gyri white matter (both with anatomical and directional concordance); and (3) BDNF-rs6265-T with superior frontal and middle cingulate gyri volume change (with anatomical and allelic concordance). CONCLUSIONS Most literature findings were not herein replicated. Nevertheless, high degree/likelihood of replication was found for two genome-wide association studies- and one candidate-implicated SNPs, supporting their involvement in psychosis and brain structure.
Collapse
Affiliation(s)
- Nuno Vouga Ribeiro
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Vânia Tavares
- Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Timothea Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Sukhi Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Robin Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King’ College London, London, UK
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| |
Collapse
|
13
|
Sagué-Vilavella M, Amoretti S, Garriga M, Mezquida G, Williams E, Serra-Navarro M, Forte MF, Varo C, Montejo L, Palacios-Garran R, Madero S, Sparacino G, Anmella G, Fico G, Giménez-Palomo A, Pons-Cabrera MT, Salgado-Pineda P, Montoro Salvatierra I, Sánchez Gistau V, Pomarol-Clotet E, Ramos-Quiroga JA, Undurraga J, Reinares M, Martínez-Arán A, Pacchiarotti I, Valli I, Bernardo M, Garcia-Rizo C, Vieta E, Verdolini N. Shaped before birth: Obstetric complications identify a more severe clinical phenotype among patients presenting a first affective or non-affective episode of psychosis. J Psychiatr Res 2022; 151:461-468. [PMID: 35609362 DOI: 10.1016/j.jpsychires.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 04/08/2022] [Accepted: 05/09/2022] [Indexed: 10/18/2022]
Abstract
Obstetric complications (OCs) may contribute to the heterogeneity that characterizes psychiatric illness, particularly the phenotypic presentation of first episode psychoses (FEP). Our aim was to examine the relationship between OCs and socio-demographic, clinical, functioning and neuropsychological characteristics in affective and non-affective FEP. We performed a cross-sectional,study where we recruited participants with FEP between 2011 and 2021, and retrospectively assessed OCs using the Lewis-Murray scale. OCs were used as a dichotomous variable and further stratified into three subtypes: complications of pregnancy, abnormal fetal growth and development, and difficulties in delivery. We performed a logistic stepwise forward regression analysis to examine variables associated with the presence of OCs. Of the 104 participants (67 affective FEP and 37 non-affective FEP), 31.7% (n = 33) had experienced OCs. Subjects with OCs showed a more gradual emergence of prodromal symptoms as well as higher negative and total Positive and Negative Syndrome Scale (PANSS) scores. In the multivariate analysis, the presence of OCs was independently associated with a younger age at first episode of any type (OR = 0.904, p = 0.003) and slower emergence of prodromal symptoms (OR = 0.274, p = 0.011). When considering specific types of OCs, those related with fetal growth were associated with worse neuropsychological performance, while OCs at delivery were related to earlier onset of illness and more severe symptoms. In conclusion, OCs signaled a specific FEP phenotype characterized by earlier and more protracted onset of illness as well as more burdensome symptoms, independently of FEP type (i.e., affective vs non-affective). These results indicate a potential target of early intervention in FEP.
Collapse
Affiliation(s)
- Maria Sagué-Vilavella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Silvia Amoretti
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Department of Psychiatry, Hospital Universitari Vall d'Hebron, Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain
| | - Marina Garriga
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Gisela Mezquida
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Evelyn Williams
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria Serra-Navarro
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria Florencia Forte
- Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Cristina Varo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Laura Montejo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Roberto Palacios-Garran
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; University Hospital Santa Maria, University of Lleida, Lleida, Spain
| | - Santiago Madero
- Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Giulio Sparacino
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Gerard Anmella
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Giovanna Fico
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Anna Giménez-Palomo
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Maria Teresa Pons-Cabrera
- Addictive Behaviours Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, Barcelona, Catalonia, Spain
| | - Pilar Salgado-Pineda
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; FIDMAG Germanes Hospitalàries Research Foundation, c/ Dr. Pujades 38, 08830, Sant Boi de Llobregat, Barcelona, Spain
| | - Irene Montoro Salvatierra
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Tarragona, Spain
| | - Vanessa Sánchez Gistau
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Universitat Rovira i Virgili, CIBERSAM, Reus, Tarragona, Spain
| | - Edith Pomarol-Clotet
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; FIDMAG Germanes Hospitalàries Research Foundation, c/ Dr. Pujades 38, 08830, Sant Boi de Llobregat, Barcelona, Spain
| | - Josep Antoni Ramos-Quiroga
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Department of Psychiatry, Hospital Universitari Vall d'Hebron, Group of Psychiatry, Mental Health and Addictions, Psychiatric Genetics Unit, Vall d'Hebron Research Institute (VHIR), Barcelona, Spain; Department of Psychiatry and Legal Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Juan Undurraga
- Department of Neurology and Psychiatry, Faculty of Medicine, Clinica Alemana Universidad del Desarrollo, Santiago, Chile; Early Intervention Program, Instituto Psiquiátrico Dr. J. Horwitz Barak, Santiago, Chile
| | - María Reinares
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Anabel Martínez-Arán
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Isabella Pacchiarotti
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| | - Isabel Valli
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, IDIBAPS, CIBERSAM, Universitat de Barcelona, Barcelona, Spain
| | - Miguel Bernardo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Clemente Garcia-Rizo
- Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain; Barcelona Clinic Schizophrenia Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain.
| | - Eduard Vieta
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain.
| | - Norma Verdolini
- Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clínic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain; Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Barcelona, Spain
| |
Collapse
|
14
|
Tavares V, Vassos E, Marquand A, Stone J, Valli I, Barker GJ, Ferreira H, Prata D. Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data. Front Psychiatry 2022; 13:1086038. [PMID: 36741573 PMCID: PMC9892839 DOI: 10.3389/fpsyt.2022.1086038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/29/2022] [Indexed: 01/20/2023] Open
Abstract
INTRODUCTION Psychosis is usually preceded by a prodromal phase in which patients are clinically identified as being at in an "At Risk Mental State" (ARMS). A few studies have demonstrated the feasibility of predicting psychosis transition from an ARMS using structural magnetic resonance imaging (sMRI) data and machine learning (ML) methods. However, the reliability of these findings is unclear due to possible sampling bias. Moreover, the value of genetic and environmental data in predicting transition to psychosis from an ARMS is yet to be explored. METHODS In this study we aimed to predict transition to psychosis from an ARMS using a combination of ML, sMRI, genome-wide genotypes, and environmental risk factors as predictors, in a sample drawn from a pool of 246 ARMS subjects (60 of whom later transitioned to psychosis). First, the modality-specific values in predicting transition to psychosis were evaluated using several: (a) feature types; (b) feature manipulation strategies; (c) ML algorithms; (d) cross-validation strategies, as well as sample balancing and bootstrapping. Subsequently, the modalities whose at least 60% of the classification models showed an balanced accuracy (BAC) statistically better than chance level were included in a multimodal classification model. RESULTS AND DISCUSSION Results showed that none of the modalities alone, i.e., neuroimaging, genetic or environmental data, could predict psychosis from an ARMS statistically better than chance and, as such, no multimodal classification model was trained/tested. These results suggest that the value of structural MRI data and genome-wide genotypes in predicting psychosis from an ARMS, which has been fostered by previous evidence, should be reconsidered.
Collapse
Affiliation(s)
- Vânia Tavares
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.,Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - Evangelos Vassos
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,National Institute for Health Research Maudsley Biomedical Research Centre, South London and Maudsley National Health System Trust, London, United Kingdom
| | - Andre Marquand
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands.,Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, Netherlands
| | - James Stone
- Brighton and Sussex Medical School, University of Sussex, Brighton, United Kingdom
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Institut d'Investigacions Biomèdiques August Pi i Sunyer, University of Barcelona, Barcelona, Spain
| | - Gareth J Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Hugo Ferreira
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
| | - Diana Prata
- Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| |
Collapse
|
15
|
Romero S, de la Serna E, Baeza I, Valli I, Pariente JC, Picado M, Bargalló N, Sugranyes G, Castro-Fornieles J. Altered White Matter Integrity at Illness Onset in Adolescents With a First Episode of Psychosis. Front Psychiatry 2022; 13:876793. [PMID: 35619614 PMCID: PMC9127302 DOI: 10.3389/fpsyt.2022.876793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Disruption in white matter integrity has been consistently observed in individuals with psychosis. However, whether such abnormalities are already present at illness onset or are related to downstream processes remains elusive. The study of adolescents with a recent onset of psychosis provides the opportunity to evaluate white matter integrity proximally to disease onset. METHODS Twenty-six adolescents (aged 15.9 ± 1.3 years) with a first episode of psychosis (FEP) (less than 6 months duration) were compared with 26 age and sex-matched healthy controls (HC) (16.8 ± 2 years). In participants with a FEP, clinical diagnoses were confirmed after a minimum of 1 year follow-up (main categories: schizophrenia, bipolar disorder, or schizoaffective disorder). Anatomical images and diffusion tensor sequences were acquired using a 1.5T scanner. Whole brain, voxel-wise group differences in fractional anisotropy (FA) were investigated between participants with a FEP and controls. RESULTS Relative to HC, FEP participants displayed decreased FA in the right posterior cingulate gyrus, encompassing the right superior and posterior corona radiata, and the right parahippocampal gyrus, including the cingulum and fornix. FEP patients showed no areas of increased FA relative to HC. The results remained significant after controlling for medication, cannabis use and intelligence. CONCLUSION Our findings indicate that adolescents with recent onset of psychotic disorders show decreased white matter integrity in circuits implicated in cognitive functions and emotion regulation.
Collapse
Affiliation(s)
- Soledad Romero
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Isabel Valli
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - José Carlos Pariente
- Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Marisol Picado
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Barcelona, Spain
| | - Nuria Bargalló
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Image Diagnostic Center, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| |
Collapse
|
16
|
Ilzarbe D, Baeza I, de la Serna E, Fortea A, Valli I, Puig O, Masias M, Borras R, Pariente JC, Dolz M, Castro-Fornieles J, Sugranyes G. Theory of mind performance and prefrontal connectivity in adolescents at clinical high risk for psychosis. Dev Cogn Neurosci 2021; 48:100940. [PMID: 33721828 PMCID: PMC7970321 DOI: 10.1016/j.dcn.2021.100940] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/03/2021] [Accepted: 03/03/2021] [Indexed: 11/28/2022] Open
Abstract
Onset of psychosis was linked to a lack of age-related improvement in theory of mind. Reduced prefrontal connectivity preceded onset of psychosis in high risk youth. High risk youth with lower prefrontal connectivity were at greatest risk of psychosis.
Theory of mind(ToM) impairment is a key feature of psychotic disorders and has been documented in individuals at clinical high-risk for psychosis (CHR), suggesting that it may predate illness onset. However, no study to date has examined brain functional correlates of ToM in individuals at CHR during adolescence. The “Reading-the-Mind-in-the-Eyes” test was used to measure ToM performance in 50 CHR youth, 15 of whom transitioned to psychosis (CHR-t) at follow-up (12 ± 6 months) and 36 healthy volunteers. Resting-state functional MRI was acquired to evaluate functional connectivity within the default mode network. Group by age interaction revealed an age-positive association in ToM performance in healthy volunteers, which was not present in adolescents at CHR-t. Intrinsic functional connectivity in the medial prefrontal cortex was reduced in adolescents at CHR-t relative to those who did not transition and to healthy volunteers. Survival analyses revealed that participants at CHR with lower medial prefrontal cortex connectivity were at greatest risk of developing psychosis at follow-up. We demonstrate that lack of age-related maturation of ToM and reduced medial prefrontal cortex connectivity both precede the onset of psychosis during adolescence. Medial prefrontal cortex connectivity holds potential as a brain-based marker for the early identification of transition to psychosis.
Collapse
Affiliation(s)
- Daniel Ilzarbe
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Inmaculada Baeza
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Elena de la Serna
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Adriana Fortea
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain
| | - Isabel Valli
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Olga Puig
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Mireia Masias
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Roger Borras
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Jose C Pariente
- August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain
| | - Montserrat Dolz
- Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Sant Joan de Deu, Esplugues de Llobregat, Spain
| | - Josefina Castro-Fornieles
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, 2017SGR881, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medicine, Universitat de Barcelona, Barcelona, Spain; Centro Investigación Biomédica en Red Salud Mental (CIBERSAM), Madrid, Spain.
| |
Collapse
|
17
|
Abstract
Schizophrenia and bipolar disorder are genetically related and their clinical features overlap. Schizophrenia is conceptualised as a neurodevelopmental disorder but the evidence for bipolar disorder is less clear. Cluster-analytic approaches reveal different cognitive profiles within bipolar disorder, possibly reflective of differing neurodevelopmental loads, which are also suggested by recent genetic and neuroimaging studies. Such studies suggest the potential utility of further clinical subcategories in bipolar disorder based on neurodevelopmental load.Declaration of interestNone.
Collapse
Affiliation(s)
- Isabel Valli
- Psychiatrist and Visiting Lecturer,Department of Psychosis Studies,Institute of Psychiatry, Psychology and Neuroscience, King's College London,UK
| | - Chiara Fabbri
- Postdoctoral Research Fellow,Social, Genetic and Developmental Psychiatry Centre,Institute of Psychiatry, Psychology and Neuroscience, King's College London,UK
| | - Allan H Young
- Chair of Mood Disorders and Director,Centre for Affective Disorders,Department of Psychological Medicine,Institute of Psychiatry, Psychology and Neuroscience, King's College London; andHonorary Consultant Psychiatrist, South LondonandMaudsley NHS Foundation Trust,UK
| |
Collapse
|
18
|
Mauri MC, Paletta S, Di Pace C, Reggiori A, Cirnigliaro G, Valli I, Altamura AC. Correction to: Clinical Pharmacokinetics of Atypical Antipsychotics: An Update. Clin Pharmacokinet 2019; 58:1219-1220. [PMID: 31214940 DOI: 10.1007/s40262-019-00797-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The pharmacokinetics of CRP was tested in small short-term studies in both healthy volunteers and in subjects with schizophrenia, with similar results [242].
Collapse
Affiliation(s)
- Massimo Carlo Mauri
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy.
| | - Silvia Paletta
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy
| | - Chiara Di Pace
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy
| | - Alessandra Reggiori
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy
| | - Giovanna Cirnigliaro
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy
| | - Isabel Valli
- Department of Psychosis Studies, King's College London, London, UK
| | - Alfredo Carlo Altamura
- Clinical Psychopharmacology Unit, Department of Neuroscience and Mental Health, Clinical Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Via F.Sforza 35, Milan, 20122, Italy
| |
Collapse
|
19
|
Mauri MC, Paletta S, Di Pace C, Reggiori A, Cirnigliaro G, Valli I, Altamura AC. Clinical Pharmacokinetics of Atypical Antipsychotics: An Update. Clin Pharmacokinet 2018; 57:1493-1528. [DOI: 10.1007/s40262-018-0664-3] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
|
20
|
Antoniades M, Schoeler T, Radua J, Valli I, Allen P, Kempton MJ, McGuire P. Verbal learning and hippocampal dysfunction in schizophrenia: A meta-analysis. Neurosci Biobehav Rev 2018; 86:166-175. [PMID: 29223768 PMCID: PMC5818020 DOI: 10.1016/j.neubiorev.2017.12.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 10/24/2017] [Accepted: 12/01/2017] [Indexed: 12/19/2022]
Abstract
This meta-analysis summarizes research examining whether deficits in verbal learning are related to bilateral hippocampal volume reductions in patients with or at risk for schizophrenia and in healthy controls. 17 studies with 755 patients with schizophrenia (SCZ), 232 Genetic High Risk (GHR) subjects and 914 healthy controls (HC) were included. Pooled correlation coefficients were calculated between hemisphere (left, right or total) and type of recall (immediate or delayed) for each diagnostic group individually (SCZ, GHR and HC). In SCZ, left and right hippocampal volume positively correlated with immediate (r=0.256, 0.230) and delayed (r=0.132, 0.231) verbal recall. There was also a correlation between total hippocampal volume and delayed recall (r=0.233). None of these correlations were significant in healthy controls. There was however, a positive correlation between left hippocampal volume and immediate recall in the GHR group (r=0.356). The results suggest that hippocampal volume affects immediate and delayed verbal learning capacity in schizophrenia and provides further evidence of hippocampal dysfunction in the pathophysiology of schizophrenia.
Collapse
Affiliation(s)
- Mathilde Antoniades
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
| | - Tabea Schoeler
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Joaquim Radua
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK; FIDMAG Germanes Hospitalàries - CIBERSAM, Sant Boi de Llobregat, Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Isabel Valli
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Paul Allen
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK; Department of Psychology, University of Roehampton, London, UK
| | - Matthew J Kempton
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
| |
Collapse
|
21
|
Falkenberg I, Valli I, Raffin M, Broome MR, Fusar-Poli P, Matthiasson P, Picchioni M, McGuire P. Pattern of activation during delayed matching to sample task predicts functional outcome in people at ultra high risk for psychosis. Schizophr Res 2017; 181:86-93. [PMID: 27693282 DOI: 10.1016/j.schres.2016.09.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 09/09/2016] [Accepted: 09/15/2016] [Indexed: 12/28/2022]
Abstract
BACKGROUND Clinical outcomes in people identified as at ultra-high risk (UHR) for psychosis are remarkably heterogeneous, and are difficult to predict on the basis of the presenting clinical features. Individuals at UHR are at risk of poor functional outcome regardless of development of psychotic disorder. The aim of the present study was to assess whether there is a relationship between functional neuroimaging measures at presentation and functional outcome as measured by the GAF three years after scanning. METHODS Functional magnetic resonance imaging (fMRI) data were collected during an object working memory task in 34 ultra-high risk (UHR) subjects and 20 healthy controls. On the basis of their GAF scores at follow up, the UHR participants were divided into subgroups with good and poor functional outcomes, respectively. RESULTS At baseline, the UHR group differed from controls in showing altered frontal and cuneus/posterior cingulate activation. Significant group x task interactions were found in the left cuneus and posterior cingulate gyrus, reflecting differential responses to the task conditions. Within the UHR sample, the subgroup with a poor functional outcome exhibited altered activation in frontal, temporal and striatal regions, and reduced deactivation within default-mode network regions, relative to those with a good outcome. Within the whole UHR sample, in these regions the local task response was correlated with the GAF score at follow up. CONCLUSIONS The findings suggest a potential role of functional neuroimaging in the prediction of outcomes in people at high clinical risk of psychosis.
Collapse
Affiliation(s)
- Irina Falkenberg
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marie Raffin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Child and Adolescent Psychiatry, Université Pierre et Marie Curie, Hôpital Pitié-Salpêtrière, Paris, France
| | - Matthew R Broome
- Department of Psychiatry, University of Oxford, Oxford, UK; Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Pall Matthiasson
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Marco Picchioni
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| |
Collapse
|
22
|
Valli I, Marquand AF, Mechelli A, Raffin M, Allen P, Seal ML, McGuire P. Identifying Individuals at High Risk of Psychosis: Predictive Utility of Support Vector Machine using Structural and Functional MRI Data. Front Psychiatry 2016; 7:52. [PMID: 27092086 PMCID: PMC4824756 DOI: 10.3389/fpsyt.2016.00052] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 03/23/2016] [Indexed: 01/20/2023] Open
Abstract
The identification of individuals at high risk of developing psychosis is entirely based on clinical assessment, associated with limited predictive potential. There is, therefore, increasing interest in the development of biological markers that could be used in clinical practice for this purpose. We studied 25 individuals with an at-risk mental state for psychosis and 25 healthy controls using structural MRI, and functional MRI in conjunction with a verbal memory task. Data were analyzed using a standard univariate analysis, and with support vector machine (SVM), a multivariate pattern recognition technique that enables statistical inferences to be made at the level of the individual, yielding results with high translational potential. The application of SVM to structural MRI data permitted the identification of individuals at high risk of psychosis with a sensitivity of 68% and a specificity of 76%, resulting in an accuracy of 72% (p < 0.001). Univariate volumetric between-group differences did not reach statistical significance. By contrast, the univariate fMRI analysis identified between-group differences (p < 0.05 corrected), while the application of SVM to the same data did not. Since SVM is well suited at identifying the pattern of abnormality that distinguishes two groups, whereas univariate methods are more likely to identify regions that individually are most different between two groups, our results suggest the presence of focal functional abnormalities in the context of a diffuse pattern of structural abnormalities in individuals at high clinical risk of psychosis.
Collapse
Affiliation(s)
- Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands; Centre for Neuroimaging Sciences, King's College London, London, UK
| | - Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Marie Raffin
- Service de Psychiatrie de l'enfant et de l'adolescent, CHU Pitié-Salpêtrière , Paris , France
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Marc L Seal
- Developmental Imaging Research Group, Murdoch Children Research Institute, University of Melbourne , Melbourne, VIC , Australia
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| |
Collapse
|
23
|
Modinos G, Allen P, Frascarelli M, Tognin S, Valmaggia L, Xenaki L, Keedwell P, Broome M, Valli I, Woolley J, Stone JM, Mechelli A, Phillips ML, McGuire P, Fusar-Poli P. Are we really mapping psychosis risk? Neuroanatomical signature of affective disorders in subjects at ultra high risk. Psychol Med 2014; 44:3491-3501. [PMID: 25066827 DOI: 10.1017/s0033291714000865] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The majority of people at ultra high risk (UHR) of psychosis also present with co-morbid affective disorders such as depression or anxiety. The neuroanatomical and clinical impact of UHR co-morbidity is unknown. METHOD We investigated group differences in grey matter volume using baseline magnetic resonance images from 121 participants in four groups: UHR with depressive or anxiety co-morbidity; UHR alone; major depressive disorder; and healthy controls. The impact of grey matter volume on baseline and longitudinal clinical/functional data was assessed with regression analyses. RESULTS The UHR-co-morbidity group had lower grey matter volume in the anterior cingulate cortex than the UHR-alone group, with an intermediate effect between controls and patients with major depressive disorder. In the UHR-co-morbidity group, baseline anterior cingulate volume was negatively correlated with baseline suicidality/self-harm and obsessive-compulsive disorder symptoms. CONCLUSIONS Co-morbid depression and anxiety disorders contributed distinctive grey matter volume reductions of the anterior cingulate cortex in people at UHR of psychosis. These volumetric deficits were correlated with baseline measures of depression and anxiety, suggesting that co-morbid depressive and anxiety diagnoses should be carefully considered in future clinical and imaging studies of the psychosis high-risk state.
Collapse
Affiliation(s)
- G Modinos
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - P Allen
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - M Frascarelli
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - S Tognin
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - L Valmaggia
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - L Xenaki
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - P Keedwell
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics,Cardiff University,Cardiff,UK
| | - M Broome
- Department of Psychiatry,University of Oxford,Oxford,UK
| | - I Valli
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - J Woolley
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - J M Stone
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - A Mechelli
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - M L Phillips
- Department of Psychiatry, Western Psychiatric Institute and Clinic,University of Pittsburgh,Pittsburgh, PA,USA
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| | - P Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry,King's College London,London,UK
| |
Collapse
|
24
|
Tognin S, Riecher-Rössler A, Meisenzahl EM, Wood SJ, Hutton C, Borgwardt SJ, Koutsouleris N, Yung AR, Allen P, Phillips LJ, McGorry PD, Valli I, Velakoulis D, Nelson B, Woolley J, Pantelis C, McGuire P, Mechelli A. Reduced parahippocampal cortical thickness in subjects at ultra-high risk for psychosis. Psychol Med 2014; 44:489-498. [PMID: 23659473 PMCID: PMC3880065 DOI: 10.1017/s0033291713000998] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2012] [Revised: 04/06/2013] [Accepted: 04/11/2013] [Indexed: 12/21/2022]
Abstract
BACKGROUND Grey matter volume and cortical thickness represent two complementary aspects of brain structure. Several studies have described reductions in grey matter volume in people at ultra-high risk (UHR) of psychosis; however, little is known about cortical thickness in this group. The aim of the present study was to investigate cortical thickness alterations in UHR subjects and compare individuals who subsequently did and did not develop psychosis. METHOD We examined magnetic resonance imaging data collected at four different scanning sites. The UHR subjects were followed up for at least 2 years. Subsequent to scanning, 50 UHR subjects developed psychosis and 117 did not. Cortical thickness was examined in regions previously identified as sites of neuroanatomical alterations in UHR subjects, using voxel-based cortical thickness. RESULTS At baseline UHR subjects, compared with controls, showed reduced cortical thickness in the right parahippocampal gyrus (p < 0.05, familywise error corrected). There were no significant differences in cortical thickness between the UHR subjects who later developed psychosis and those who did not. CONCLUSIONS These data suggest that UHR symptomatology is characterized by alterations in the thickness of the medial temporal cortex. We did not find evidence that the later progression to psychosis was linked to additional alterations in cortical thickness, although we cannot exclude the possibility that the study lacked sufficient power to detect such differences.
Collapse
Affiliation(s)
- S. Tognin
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - A. Riecher-Rössler
- Center for Gender Research and Early Detection, University of Basel Psychiatric Clinics, c/o University Hospital Basel, Petersgraben, Basel, Switzerland
| | - E. M. Meisenzahl
- Departments of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - S. J. Wood
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia
- School of Psychology, University of Birmingham, Birmingham, UK
| | - C. Hutton
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London, London, UK
| | - S. J. Borgwardt
- Center for Gender Research and Early Detection, University of Basel Psychiatric Clinics, c/o University Hospital Basel, Petersgraben, Basel, Switzerland
| | - N. Koutsouleris
- Departments of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - A. R. Yung
- Orygen Research Centre, University of Melbourne, Victoria, Australia
| | - P. Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - L. J. Phillips
- Psychological Sciences, University of Melbourne, Victoria, Australia
| | - P. D. McGorry
- Orygen Research Centre, University of Melbourne, Victoria, Australia
| | - I. Valli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - D. Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia
| | - B. Nelson
- Orygen Research Centre, University of Melbourne, Victoria, Australia
| | - J. Woolley
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - C. Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Victoria, Australia
| | - P. McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| | - A. Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK
| |
Collapse
|
25
|
Tognin S, Pettersson-Yeo W, Valli I, Hutton C, Woolley J, Allen P, McGuire P, Mechelli A. Using structural neuroimaging to make quantitative predictions of symptom progression in individuals at ultra-high risk for psychosis. Front Psychiatry 2013; 4:187. [PMID: 24523700 PMCID: PMC3905239 DOI: 10.3389/fpsyt.2013.00187] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 12/24/2013] [Indexed: 12/23/2022] Open
Abstract
Neuroimaging holds the promise that it may one day aid the clinical assessment of individual psychiatric patients. However, the vast majority of studies published so far have been based on average differences between groups, which do not permit accurate inferences at the level of the individual. We examined the potential of structural Magnetic Resonance Imaging (MRI) data for making accurate quantitative predictions about symptom progression in individuals at ultra-high risk for developing psychosis. Forty people at ultra-high risk for psychosis were scanned using structural MRI at first clinical presentation and assessed over a period of 2 years using the Positive and Negative Syndrome Scale. Using a multivariate machine learning method known as relevance vector regression (RVR), we examined the relationship between brain structure at first clinical presentation, characterized in terms of gray matter (GM) volume and cortical thickness (CT), and symptom progression at 2-year follow-up. The application of RVR to whole-brain CT MRI data allowed quantitative prediction of clinical scores with statistically significant accuracy (correlation = 0.34, p = 0.026; Mean Squared-Error = 249.63, p = 0.024). This prediction was informed by regions traditionally associated with schizophrenia, namely the right lateral and medial temporal cortex and the left insular cortex. In contrast, the application of RVR to GM volume did not allow prediction of symptom progression with statistically significant accuracy. These results provide proof-of-concept that it could be possible to use structural MRI to inform quantitative prediction of symptom progression in individuals at ultra-high risk of developing psychosis. This would enable clinicians to target those individuals at greatest need of preventative interventions thereby resulting in a more efficient use of health care resources.
Collapse
Affiliation(s)
- Stefania Tognin
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - William Pettersson-Yeo
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Chloe Hutton
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, University College London , London , UK
| | - James Woolley
- Division of Experimental Medicine, Imperial College London , London , UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| | - Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London , London , UK
| |
Collapse
|
26
|
Allen P, Luigjes J, Howes OD, Egerton A, Hirao K, Valli I, Kambeitz J, Fusar-Poli P, Broome M, McGuire P. Transition to psychosis associated with prefrontal and subcortical dysfunction in ultra high-risk individuals. Schizophr Bull 2012; 38:1268-76. [PMID: 22290265 PMCID: PMC3494046 DOI: 10.1093/schbul/sbr194] [Citation(s) in RCA: 95] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND People at ultra high risk (UHR) of psychosis have an elevated risk of developing a psychotic disorder, but it is difficult to predict which individuals will make a transition to frank illness. We investigated whether functional magnetic resonance imaging (fMRI) in conjunction with a phonological fluency task at presentation could distinguish subjects who subsequently developed psychosis from those who did not. METHODS Sixty-five subjects (41 with an UHR and 24 healthy controls) were assessed at clinical presentation using fMRI, in conjunction with a verbal fluency task. [18F]-DOPA positron emission tomography (PET) data were also available in a subgroup of 21 UHR and 14 healthy controls subjects. UHR subjects were followed clinically for at least 2 years. RESULTS Compared with UHR subjects who did not become psychotic, UHR subjects who subsequently developed psychosis showed increased activation in bilateral prefrontal cortex (PFC), brainstem (midbrain/basilar pons), the left hippocampus, and greater midbrain-PFC connectivity. Furthermore, exploratory analysis of [18F]-DOPA PET data showed that transition to psychosis was associated with elevated dopaminergic function in the brainstem region. CONCLUSIONS In people at high risk of psychosis, increased activation in a network of cortical and subcortical regions may predict the subsequent onset of illness. Functional neuroimaging, in conjunction with clinical assessment and other investigations, may facilitate the prediction of outcome in subjects who are vulnerable to psychosis.
Collapse
Affiliation(s)
- Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK.
| | - Judy Luigjes
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK,Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Oliver D. Howes
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK
| | | | - Kazuyuki Hirao
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK,Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK
| | - Joseph Kambeitz
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK,Department of Medicine and Public Health, Section of Psychiatry and Clinical Psychology, University of Verona, Verona, Italy
| | - Matthew Broome
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK,Health Sciences Research Institute, University of Warwick, Coventry, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College, London, UK
| |
Collapse
|
27
|
Valli I, Tognin S, Fusar-Poli P, Mechelli A. Episodic memory dysfunction in individuals at high-risk of psychosis: a systematic review of neuropsychological and neurofunctional studies. Curr Pharm Des 2012; 18:443-58. [PMID: 22239575 DOI: 10.2174/138161212799316271] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2011] [Accepted: 10/31/2011] [Indexed: 11/22/2022]
Abstract
Cognitive impairment is one of the key features of schizophrenia, with the largest effect sizes identified for verbal learning and memory, however little is known about its features in the time that precedes psychosis onset. Here we review a total of thirty-two studies that examined memory and learning in populations at clinical and genetic high-risk for psychosis. These studies can be divided into three different categories based on their design. Some were cross-sectional and examined neuropsychological differences between high-risk individuals and healthy controls. A second type of studies included a clinical follow-up that permitted dividing participants based on their outcome to examine abnormalities specific of subsequent transition to psychosis as well as the inclusion of cognitive data in regression models for psychosis prediction. A third type of studies had a longitudinal design with measures repeated at two or more time points in order to examine the course of cognitive functions over time. We also reviewed all neurofunctional studies investigating subjects at risk for psychosis and focused on brain alterations associated with the above neuropsychological impairments. Results of cross-sectional studies revealed impairments in verbal learning and memory as well as executive function/working memory, attention and processing speed; in most of these studies, performance of individuals at clinical or genetic high-risk was intermediate between that of healthy controls and first episode patients. Neurofunctional investigations revealed altered brain functioning in the neural circuits underlying memory and learning processes. Results are less consistent in terms of clearly identifying cognitive differences and their progression over time between individuals subsequently developing psychosis and those remaining non-psychotic. However, studies that included cognitive variables in regression models or prediction algorithms suggest that some areas of cognition, particularly verbal memory, can increase the accuracy obtained in the identification of individuals developing psychosis beyond that based purely on psychopathological measures, suggesting that the inclusion of neurocognitive tests of domains for which there is evidence of prediction potential could be useful in a stepwise assessment of risk.
Collapse
Affiliation(s)
- Isabel Valli
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, De Crespigny Park, SE5 8AF, London, UK.
| | | | | | | |
Collapse
|
28
|
Lord LD, Allen P, Expert P, Howes O, Broome M, Lambiotte R, Fusar-Poli P, Valli I, McGuire P, Turkheimer FE. Functional brain networks before the onset of psychosis: A prospective fMRI study with graph theoretical analysis. Neuroimage Clin 2012; 1:91-8. [PMID: 24179741 PMCID: PMC3757719 DOI: 10.1016/j.nicl.2012.09.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Revised: 09/13/2012] [Accepted: 09/14/2012] [Indexed: 01/21/2023]
Abstract
Individuals with an at-risk mental state (ARMS) have a risk of developing a psychotic disorder significantly greater than the general population. However, it is not currently possible to predict which ARMS individuals will develop psychosis from clinical assessment alone. Comparison of ARMS subjects who do, and do not, develop psychosis can reveal which factors are critical for the onset of illness. In the present study, 37 patients with an ARMS were followed clinically at least 24 months subsequent to initial referral. Functional MRI data were collected at the beginning of the follow-up period during performance of an executive task known to recruit frontal lobe networks and to be impaired in psychosis. Graph theoretical analysis was used to compare the organization of a functional brain network in ARMS patients who developed a psychotic disorder following the scan (ARMS-T) to those who did not become ill during the same follow-up period (ARMS-NT) and aged-matched controls. The global properties of each group's representative network were studied (density, efficiency, global average path length) as well as regionally-specific contributions of network nodes to the organization of the system (degree, farness-centrality, betweenness-centrality). We focused our analysis on the dorsal anterior cingulate cortex (ACC), a region known to support executive function that is structurally and functionally impaired in ARMS patients. In the absence of between-group differences in global network organization, we report a significant reduction in the topological centrality of the ACC in the ARMS-T group relative to both ARMS-NT and controls. These results provide evidence that abnormalities in the functional organization of the brain predate the onset of psychosis, and suggest that loss of ACC topological centrality is a potential biomarker for transition to psychosis.
Collapse
Affiliation(s)
- Louis-David Lord
- Department of Experimental Medicine, Imperial College London, UK
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA
- Corresponding author at: 149 Thirteenth Street, Charlestown, MA 02129, USA. Tel.: + 1 617 816 9929; fax: + 1 617 726 4078.
| | - Paul Allen
- Institute of Psychiatry, King's College London, UK
- OASIS Team, South London and Maudsley NHS Foundation Trust, London, UK
| | - Paul Expert
- Department of Experimental Medicine, Imperial College London, UK
- Institute of Psychiatry, King's College London, UK
- Complexity and Networks Group, Imperial College London, UK
| | - Oliver Howes
- Department of Experimental Medicine, Imperial College London, UK
- Institute of Psychiatry, King's College London, UK
| | - Matthew Broome
- Health Sciences Research Institute, University of Warwick, Coventry, UK
| | | | - Paolo Fusar-Poli
- Institute of Psychiatry, King's College London, UK
- OASIS Team, South London and Maudsley NHS Foundation Trust, London, UK
| | - Isabel Valli
- Institute of Psychiatry, King's College London, UK
- OASIS Team, South London and Maudsley NHS Foundation Trust, London, UK
| | - Philip McGuire
- Institute of Psychiatry, King's College London, UK
- OASIS Team, South London and Maudsley NHS Foundation Trust, London, UK
| | - Federico E. Turkheimer
- Department of Experimental Medicine, Imperial College London, UK
- Institute of Psychiatry, King's College London, UK
| |
Collapse
|
29
|
Allen P, Chaddock CA, Howes OD, Egerton A, Seal ML, Fusar-Poli P, Valli I, Day F, McGuire PK. Abnormal relationship between medial temporal lobe and subcortical dopamine function in people with an ultra high risk for psychosis. Schizophr Bull 2012; 38:1040-9. [PMID: 21536784 PMCID: PMC3446221 DOI: 10.1093/schbul/sbr017] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/03/2011] [Indexed: 11/14/2022]
Abstract
BACKGROUND Neuroimaging studies in humans have implicated both dysfunction of the medial temporal lobe (MTL) and the dopamine system in psychosis, but the relationship between them is unclear. We addressed this issue by measuring MTL activation and striatal dopaminergic function in individuals with an At Risk Mental State (ARMS) for psychosis, using functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), respectively. METHODS Thirty-four subjects (20 ARMS and 14 Controls), matched for age, gender, digit span performance, and premorbid IQ, were scanned using fMRI, while performing a verbal encoding and recognition task, and using 18F-DOPA PET. All participants were naïve to antipsychotic medication. RESULTS ARMS subjects showed reduced MTL activation when encoding words and made more false alarm responses for Novel words than controls. The relationship between striatal dopamine function and MTL activation during both verbal encoding and verbal recognition was significantly different in ARMS subjects compared with controls. CONCLUSION An altered relationship between MTL function and dopamine storage/synthesis capacity exists in the ARMS and may be related to psychosis vulnerability.
Collapse
Affiliation(s)
- Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
30
|
Howes OD, Bose SK, Turkheimer F, Valli I, Egerton A, Valmaggia LR, Murray RM, McGuire P. Dopamine synthesis capacity before onset of psychosis: a prospective [18F]-DOPA PET imaging study. Am J Psychiatry 2011; 168:1311-7. [PMID: 21768612 PMCID: PMC3682447 DOI: 10.1176/appi.ajp.2011.11010160] [Citation(s) in RCA: 253] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE While there is robust evidence of elevated dopamine synthesis capacity once a psychotic disorder has developed, little is known about whether it is altered prior to the first episode of frank illness. The authors addressed this issue by measuring dopamine synthesis capacity in individuals at ultra-high risk of psychosis and then following them to determine their clinical outcome. METHOD This prospective study included 30 patients who met standard criteria for being at ultra-high risk of psychosis and 29 healthy volunteers. Participants were scanned using [(18)F]6-fluoro-L-dopa positron emission tomography. The ultra-high-risk patients were scanned at presentation and followed up for at least 3 years to determine their clinical outcome. Six patients had comorbid schizotypal personality disorder and were excluded from the analysis (data are provided for comparison). Of the remaining patients, nine developed a psychotic disorder (psychotic transition group) and 15 did not (nontransition group). RESULTS There was a significant effect of group on striatal dopamine synthesis capacity. The psychotic transition group had greater dopamine synthesis capacity in the striatum (effect size=1.18) and its associative subdivision (effect size=1.24) than did the healthy comparison subjects and showed a positive correlation between dopamine synthesis capacity and symptom severity. Dopamine synthesis capacity was also significantly greater in the psychotic transition group than in the nontransition group. CONCLUSIONS These findings provide evidence that the onset of frank psychosis is preceded by presynaptic dopaminergic dysfunction. Further research is needed to determine the specificity of elevated dopamine synthesis capacity to particular psychotic disorders.
Collapse
|
31
|
Howes O, Bose S, Turkheimer F, Valli I, Egerton A, Stahl D, Valmaggia L, Allen P, Murray R, McGuire P. Progressive increase in striatal dopamine synthesis capacity as patients develop psychosis: a PET study. Mol Psychiatry 2011; 16:885-6. [PMID: 21358709 PMCID: PMC3662873 DOI: 10.1038/mp.2011.20] [Citation(s) in RCA: 200] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
|
32
|
Allen P, Seal ML, Valli I, Fusar-Poli P, Perlini C, Day F, Wood SJ, Williams SC, McGuire PK. Altered prefrontal and hippocampal function during verbal encoding and recognition in people with prodromal symptoms of psychosis. Schizophr Bull 2011; 37:746-56. [PMID: 19933712 PMCID: PMC3122294 DOI: 10.1093/schbul/sbp113] [Citation(s) in RCA: 58] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Despite robust evidence of hippocampal abnormalities in schizophrenia, it is unclear whether hippocampal dysfunction predates the onset of psychosis. We used functional magnetic resonance imaging to investigate hippocampal function in subjects with an at-risk mental state (ARMS). Eighteen subjects meeting criteria for an ARMS and 22 healthy controls, matched for age, gender, and premorbid IQ, were scanned while performing a version of the Deese-Roediger-McDermott false memory task. During an encoding phase, subjects read lists of words aloud. Following a delay, they were presented with 24 target words, 24 semantically related lure words, and 24 novel words and required to indicate if each had been presented before. Behaviorally, the ARMS group made more false alarm responses for novel words than controls (P = .04) and had a lower discrimination accuracy for target words (P = .02). During encoding, ARMS subjects showed less activation than healthy controls in the left middle frontal gyrus, the bilateral medial frontal gyri, and the left parahippocampal gyrus. Correct recognition relative to false alarms was associated with differential engagement of the hippocampus bilaterally in healthy controls, but this difference was absent in the ARMS group. The ARMS was associated with altered function in the medial temporal cortex, as well as in the prefrontal regions, during both verbal encoding and recognition. These neurofunctional differences were associated with diminished recognition performance and may reflect the greatly increased risk of psychosis associated with the ARMS.
Collapse
Affiliation(s)
- Paul Allen
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK.
| | - Marc L. Seal
- Melbourne Neuropsychiatry Centre, University of Melbourne, Australia
| | - Isabel Valli
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK
| | - Paolo Fusar-Poli
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK
| | - Cinzia Perlini
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK,Department of Medicine and Public Health, Section of Psychiatry and Clinical Psychology, University of Verona, Italy,Inter-University Centre for Behavioural Neurosciences (ICBN), University of Verona, Italy
| | - Fern Day
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK
| | - Stephen J. Wood
- Melbourne Neuropsychiatry Centre, University of Melbourne, Australia
| | | | - Philip K. McGuire
- Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, London, UK
| |
Collapse
|
33
|
Mechelli A, Riecher-Rössler A, Meisenzahl EM, Tognin S, Wood SJ, Borgwardt SJ, Koutsouleris N, Yung AR, Stone JM, Phillips LJ, McGorry PD, Valli I, Velakoulis D, Woolley J, Pantelis C, McGuire P. Neuroanatomical abnormalities that predate the onset of psychosis: a multicenter study. ACTA ACUST UNITED AC 2011; 68:489-95. [PMID: 21536978 DOI: 10.1001/archgenpsychiatry.2011.42] [Citation(s) in RCA: 194] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT People experiencing possible prodromal symptoms of psychosis have a very high risk of developing the disorder, but it is not possible to predict, on the basis of their presenting clinical features, which individuals will subsequently become psychotic. Recent neuroimaging studies suggest that there are volumetric differences between individuals at ultra-high risk (UHR) for psychosis who later develop psychotic disorder and those who do not. However, the samples examined to date have been small, and the findings have been inconsistent. OBJECTIVE To assess brain structure in individuals at UHR for psychosis in a larger and more representative sample than in previous studies by combining magnetic resonance imaging data from 5 different scanning sites. DESIGN Case-control study. SETTING Multisite. PARTICIPANTS A total of 182 individuals at UHR and 167 healthy controls. Participants were observed clinically for a mean of 2 years. Forty-eight individuals (26.4%) in the UHR group developed psychosis and 134 did not. MAIN OUTCOME MEASURES Magnetic resonance images were acquired from each participant. Group differences in gray matter volume were examined using optimized voxel-based morphometry. RESULTS The UHR group as a whole had less gray matter volume than did controls in the frontal regions bilaterally. The UHR subgroup who later developed psychosis had less gray matter volume in the left parahippocampal cortex than did the UHR subgroup who did not. CONCLUSIONS Individuals at high risk for psychosis show alterations in regional gray matter volume regardless of whether they subsequently develop the disorder. In the UHR population, reduced left parahippocampal volume was specifically associated with the later onset of psychosis. Alterations in this region may, thus, be crucial to the expression of illness. Identifying abnormalities that specifically predate the onset of psychosis informs the development of clinical investigations designed to predict which individuals at high risk will subsequently develop the disorder.
Collapse
Affiliation(s)
- Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, King’s College London, London, United Kingdom
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Fusar-Poli P, Stone JM, Broome MR, Valli I, Mechelli A, McLean MA, Lythgoe DJ, O'Gorman RL, Barker GJ, McGuire PK. Thalamic glutamate levels as a predictor of cortical response during executive functioning in subjects at high risk for psychosis. ACTA ACUST UNITED AC 2011; 68:881-90. [PMID: 21536967 DOI: 10.1001/archgenpsychiatry.2011.46] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Alterations in glutamatergic neurotransmission and cerebral cortical dysfunction are thought to be central to the pathophysiology of psychosis, but the relationship between these 2 factors is unclear. OBJECTIVE To investigate the relationship between brain glutamate levels and cortical response during executive functioning in people at high risk for psychosis (ie, with an at-risk mental state [ARMS]). DESIGN Subjects were studied using functional magnetic resonance imaging while they performed a verbal fluency task, and proton magnetic resonance spectroscopy was used to measure their brain regional glutamate levels. SETTING Maudsley Hospital, London, England. PATIENTS AND OTHER PARTICIPANTS A total of 41 subjects: 24 subjects with an ARMS and 17 healthy volunteers (controls). MAIN OUTCOME MEASURES Regional brain activation (blood oxygen level-dependent response); levels of glutamate in the anterior cingulate, left thalamus, and left hippocampus; and psychopathology ratings at the time of scanning. RESULTS During the verbal fluency task, subjects with an ARMS showed greater activation than did controls in the middle frontal gyrus bilaterally. Thalamic glutamate levels were lower in the ARMS group than in control group. Within the ARMS group, thalamic glutamate levels were negatively associated with activation in the right dorsolateral prefrontal and left orbitofrontal cortex, but positively associated with activation in the right hippocampus and in the temporal cortex bilaterally. There was also a significant group difference in the relationship between cortical activation and thalamic glutamate levels, with the control group showing correlations in the opposite direction to those in the ARMS group in the prefrontal cortex and in the right hippocampus and superior temporal gyrus. CONCLUSIONS Altered prefrontal, hippocampal, and temporal function in people with an ARMS is related to a reduction in thalamic glutamate levels, and this relationship is different from that in healthy controls.
Collapse
Affiliation(s)
- P Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, England.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
35
|
Valli I, Stone J, Mechelli A, Bhattacharyya S, Raffin M, Allen P, Fusar-Poli P, Lythgoe D, O'Gorman R, Seal M, McGuire P. Altered medial temporal activation related to local glutamate levels in subjects with prodromal signs of psychosis. Biol Psychiatry 2011; 69:97-9. [PMID: 21035785 DOI: 10.1016/j.biopsych.2010.08.033] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2010] [Revised: 08/06/2010] [Accepted: 08/20/2010] [Indexed: 11/19/2022]
Abstract
BACKGROUND Both medial temporal cortical dysfunction and perturbed glutamatergic neurotransmission are regarded as fundamental pathophysiological features of psychosis. However, although animal models of psychosis suggest that these two abnormalities are interrelated, their relationship in humans has yet to be investigated. METHODS We used a combination of functional magnetic resonance imaging and magnetic resonance spectroscopy to investigate the relationship between medial temporal activation during an episodic memory task and local glutamate levels in 22 individuals with an at-risk mental state for psychosis and 14 healthy volunteers. RESULTS We observed a significant between-group difference in the coupling of medial temporal activation with local glutamate levels. In control subjects, medial temporal activation during episodic encoding was positively associated with medial temporal glutamate. However, in the clinical population, medial temporal activation was reduced, and the relationship with glutamate was absent. CONCLUSIONS In individuals at high risk of psychosis, medial temporal dysfunction seemed related to a loss of the normal relationship with local glutamate levels. This study provides the first evidence that links medial temporal dysfunction with the central glutamate system in humans and is consistent with evidence that drugs that modulate glutamatergic transmission might be useful in the treatment of psychosis.
Collapse
Affiliation(s)
- Isabel Valli
- Department of Psychosis Studies, King's College London, London, United Kingdom.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
36
|
Fusar-Poli P, Howes OD, Allen P, Broome M, Valli I, Asselin MC, Montgomery AJ, Grasby PM, McGuire P. Abnormal prefrontal activation directly related to pre-synaptic striatal dopamine dysfunction in people at clinical high risk for psychosis. Mol Psychiatry 2011; 16:67-75. [PMID: 19949389 DOI: 10.1038/mp.2009.108] [Citation(s) in RCA: 164] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Schizophrenia is characterized by altered prefrontal activity and elevated striatal dopaminergic function. To investigate the relationship between these abnormalities in the prodromal phase of the illness, we combined functional Magnetic Resonance Imaging and (18)F-Dopa Positron Emission Tomography. When performing a verbal fluency task, subjects with an At-Risk Mental State showed greater activation in the inferior frontal cortex than controls. Striatal dopamine function was greater in the At-Risk group than in controls. Within the At-Risk group, but not the control group, there was a direct correlation between the degree of left inferior frontal activation and the level of striatal dopamine function. Altered prefrontal activation in subjects with an At-Risk Mental State for psychosis is related to elevated striatal dopamine function. These changes reflect an increased vulnerability to psychosis and predate the first episode of frank psychosis.
Collapse
Affiliation(s)
- P Fusar-Poli
- Department of Psychological Medicine, Neuroimaging Section, Institute of Psychiatry, King's College London, London, UK.
| | | | | | | | | | | | | | | | | |
Collapse
|
37
|
Johns LC, Allen P, Valli I, Winton-Brown T, Broome M, Woolley J, Tabraham P, Day F, Howes O, Wykes T, McGuire P. Impaired verbal self-monitoring in individuals at high risk of psychosis. Psychol Med 2010; 40:1433-1442. [PMID: 19951449 DOI: 10.1017/s0033291709991991] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Cognitive models suggest that auditory verbal hallucinations arise through defective self-monitoring and the external attribution of inner speech. We used a paradigm that engages verbal self-monitoring (VSM) to examine whether this process is impaired in people experiencing prodromal symptoms, who have a very high risk of developing psychosis. METHOD We tested 31 individuals with an At-Risk Mental State (ARMS) and 31 healthy volunteers. Participants read single adjectives aloud while the source and pitch of the online auditory verbal feedback was manipulated, then immediately identified the source of the speech they heard (Self/Other/Unsure). Response choice and reaction time were recorded. RESULTS When reading aloud with distorted feedback of their own voice, ARMS participants made more errors than controls (misidentifications and unsure responses). ARMS participants misidentified the source of their speech as 'Other' when the level of acoustic distortion was severe, and misidentification errors were inversely related to reaction times. CONCLUSIONS Impaired VSM is evident in people with an ARMS, although the deficit seems to be less marked than in patients with schizophrenia. Follow-up of these participants may clarify the extent to which the severity of this impairment predicts the subsequent onset of psychosis and development of positive symptoms.
Collapse
Affiliation(s)
- L C Johns
- Department of Psychological Medicine, Institute of Psychiatry, King's College London, UK.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
38
|
Fusar-Poli P, Howes OD, Allen P, Broome M, Valli I, Asselin MC, Grasby PM, McGuire PK. Abnormal frontostriatal interactions in people with prodromal signs of psychosis: a multimodal imaging study. ACTA ACUST UNITED AC 2010; 67:683-91. [PMID: 20603449 DOI: 10.1001/archgenpsychiatry.2010.77] [Citation(s) in RCA: 178] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT Alterations in dopaminergic neurotransmission and function of the prefrontal cortex are thought to be central to the pathophysiology of schizophrenia, but the relationship between these factors in the development of psychosis is unclear. OBJECTIVE To investigate the relationship between striatal dopamine activity and prefrontal function in people at ultra high risk of psychosis. DESIGN Subjects were studied using functional magnetic resonance imaging while performing a working memory (N-back) task. Positron emission tomography with fluorine 18-labeled fluorodopa was used to investigate presynaptic striatal dopamine activity. SETTING Outpatient service for people with prodromal signs of psychosis. PATIENTS AND OTHER PARTICIPANTS Thirty-four subjects participated in the study: 14 healthy volunteers and 20 subjects with an at-risk mental state (ARMS). MAIN OUTCOME MEASURES Regional brain activation (blood oxygen level-dependent response), Ki for [(18)F]fluorodopa uptake, and objective ratings of psychopathology at the time of scanning. RESULTS In the associative part of the striatum, the Ki for [(18)F]fluorodopa was higher in the ARMS group than in the controls. During the N-back task, ARMS subjects displayed less activation in the right middle frontal gyrus, the medial frontal gyri, and the left superior parietal lobule than controls. The Ki for [(18)F]fluorodopa was positively correlated with activation in the right middle frontal gyrus in controls but negatively correlated with activation in this region in the ARMS group. CONCLUSIONS In people with prodromal signs of psychosis, there are direct correlations between altered prefrontal cortical function and subcortical dopamine synthesis capacity, consistent with the notion that frontostriatal interactions play a critical role in the pathoetiology of schizophrenia.
Collapse
Affiliation(s)
- Paolo Fusar-Poli
- Psychosis Clinical Academic Group PO67, Institute of Psychiatry, De Crespigny Park, London SE58AF, England.
| | | | | | | | | | | | | | | |
Collapse
|
39
|
Picchioni M, Toulopoulou T, Fu C, Valli I, Ettinger U, Hall MH, Brammer M, Giampietro V, Gasston D, Murray R, McGuire P. S34-04 - Genetic and non-genetic influences on brain function in schizophrenia: an fMRI study in twins. Eur Psychiatry 2010. [DOI: 10.1016/s0924-9338(10)70098-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
|
40
|
Stone JM, Day F, Tsagaraki H, Valli I, McLean MA, Lythgoe DJ, O'Gorman RL, Barker GJ, McGuire PK. Glutamate dysfunction in people with prodromal symptoms of psychosis: relationship to gray matter volume. Biol Psychiatry 2009; 66:533-9. [PMID: 19559402 DOI: 10.1016/j.biopsych.2009.05.006] [Citation(s) in RCA: 176] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2009] [Revised: 05/01/2009] [Accepted: 05/07/2009] [Indexed: 11/24/2022]
Abstract
BACKGROUND The glutamate model of schizophrenia proposes that altered glutamatergic neurotransmission is fundamental to the development of the disorder. In addition, its potential to mediate neurotoxicity raises the possibility that glutamate dysfunction could underlie neuroanatomic changes in schizophrenia. Here we determine whether changes in brain glutamate are present in subjects at ultra high risk of developing psychosis and whether these changes are related to reductions in cortical gray matter volume. METHODS Twenty-seven individuals with an at-risk mental state and a group of 27 healthy volunteers underwent proton magnetic resonance spectroscopy and volumetric proton magnetic resonance imaging using a 3-Tesla scanner. Glutamate and glutamine levels were measured in anterior cingulate, left hippocampus, and left thalamus. These measures were then related to cortical gray matter volume. RESULTS At-risk mental state (ARMS) subjects had significantly lower levels of glutamate than control subjects in the thalamus (p < .05) but higher glutamine in the anterior cingulate (p < .05). Within the ARMS group, the level of thalamic glutamate was directly correlated with gray matter volume in the medial temporal cortex and insula (p < .01). CONCLUSIONS This study provides the first evidence that brain glutamate function is perturbed in people with prodromal signs of schizophrenia and that glutamatergic dysfunction is associated with a reduction in gray matter volume in brain regions thought to be critical to the pathogenesis of the disorder. These findings support the hypothesis that drugs affecting the glutamate system may be of benefit in the early stages of psychotic illness.
Collapse
Affiliation(s)
- James M Stone
- Institute of Psychiatry, King's College London, University College London, United Kingdom.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
41
|
Howes OD, Montgomery AJ, Asselin MC, Murray RM, Valli I, Tabraham P, Bramon-Bosch E, Valmaggia L, Johns L, Broome M, McGuire PK, Grasby PM. Elevated striatal dopamine function linked to prodromal signs of schizophrenia. ACTA ACUST UNITED AC 2009; 66:13-20. [PMID: 19124684 DOI: 10.1001/archgenpsychiatry.2008.514] [Citation(s) in RCA: 533] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
CONTEXT A major limitation on the development of biomarkers and novel interventions for schizophrenia is that its pathogenesis is unknown. Although elevated striatal dopamine activity is thought to be fundamental to schizophrenia, it is unclear when this neurochemical abnormality develops in relation to the onset of illness and how this relates to the symptoms and neurocognitive impairment seen in individuals with prodromal symptoms of schizophrenia. OBJECTIVES To determine whether striatal dopamine function is elevated in individuals with prodromal symptoms of schizophrenia before the onset of psychosis and to assess how this relates to the symptoms and neurocognitive impairment. DESIGN Case-control study of in vivo striatal dopaminergic function. SETTING Academic research. Patients Patients were recruited from a community mental health service. Twenty-four patients having prodromal symptoms of schizophrenia were compared with 7 patients having schizophrenia and with 12 matched healthy control subjects from the same community. Main Outcome Measure Striatal 6-fluoro-l-dopa F 18-dopa uptake measured using positron emission tomographic (18)F-dopa imaging. RESULTS Striatal (18)F-dopa uptake was elevated in patients with prodromal symptoms of schizophrenia (effect size, 0.75) to an intermediate degree compared with that in patients with schizophrenia (effect size, 1.25). The elevation was localized in the associative striatum in both groups. Moreover, striatal (18)F-dopa uptake in patients with prodromal symptoms of schizophrenia was correlated with the severity of prodromal psychopathologic and neuropsychological impairment but not with the severity of anxiety or depressive symptoms. CONCLUSIONS These findings indicate that dopamine overactivity predates the onset of schizophrenia in individuals with prodromal psychotic symptoms, is predominantly localized in the associative striatum, and is correlated with the severity of symptoms and neurocognitive dysfunction.
Collapse
Affiliation(s)
- Oliver D Howes
- Section of Neuroimaging, Institute of Psychiatry, King's College London, England.
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Valli I, Howes O, Tyrer P, McGuire P, Grasby PM. Longitudinal PET imaging in a patient with schizophrenia did not show marked changes in dopaminergic function with relapse of psychosis. Am J Psychiatry 2008; 165:1613-4. [PMID: 19047337 DOI: 10.1176/appi.ajp.2008.08071109] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
43
|
Mauri MC, Gaietta M, Dragogna F, Valli I, Cerveri G, Marotta G. Hallucinatory disorder, an original clinical picture? Clinical and imaging data. Prog Neuropsychopharmacol Biol Psychiatry 2008; 32:523-30. [PMID: 18037549 DOI: 10.1016/j.pnpbp.2007.10.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2007] [Revised: 10/02/2007] [Accepted: 10/13/2007] [Indexed: 10/22/2022]
Abstract
OBJECTIVE The aim of this study was to verify the existence of areas of clinical and neurofunctional homogeneity in a group of patients with auditory verbal hallucinations (AVHs) as an isolated symptom, attributable to what we have called "Hallucinatory Disorder" (HD) in an attempt to propose a clinical picture that is distinct from Schizophrenia. METHOD Nine patients clinically characterised by chronic AVHs were compared with nine schizophrenic patients using the Structured Clinical Interview for DSM-III-R, BPRS, PANSS, SAPS, SANS, HRS-A, HRS-D, CDSS, MMSE, CGI and PSYRATS. Both groups of patients and nine healthy subjects underwent EEG and SPECT examinations. RESULTS Considering the psychopathological dimensions of Schizophrenia, in the HD patients clinical evaluations revealed a mono-dimensional clinical profile, whereas all these dimensions contributed to the clinical picture of the schizophrenic patients. The SPECT data showed that the schizophrenic patients had a reduced rCBF in some areas of the right frontal lobe, while the HD patients did not show any area of hypoperfusion. The SPECT hyperperfusion data showed an activation pattern in the HD patients that was characterised by the involvement of various cortical and subcortical cerebral areas, similar to those found in studies of inner speech and auditory verbal imagery. CONCLUSIONS The two groups of patients present significant differences that seem capable of supporting the proposed hypothesis that HD may be an independent nosographical entity.
Collapse
Affiliation(s)
- Massimo C Mauri
- Clinical Psychiatry, Clinical Neuropsycopharmacology Unit, Fondazione IRCCS, Ospedale Maggiore Policlinico, Mangiagalli e Regina Elena, Milan, Italy.
| | | | | | | | | | | |
Collapse
|
44
|
Abstract
INTRODUCTION Chronic hallucinatory psychosis is a psychopathological profile reported in French literature but not included in the current Anglo-American psychiatric classifications. We compared a group of patients with a clinical picture related to this syndrome to a group of patients with schizophrenia in order to evaluate the possibility of characterising hallucinatory disorder as a diagnostic entity. METHODS Nine patients with a clinical profile related to chronic hallucinatory psychosis were compared to a group of nine patients with schizophrenia. All of the patients were clinically evaluated using the measures: SCID-P, GAF, BPRS, PANSS, SAPS, SANS, HRS-A, HRS-D, CDSS, MMSE, and CGI. RESULTS Analysis of the clinical rating scales characterised schizophrenia as comprising three dimensions (positive, negative, and disorganised symptoms), each of which contributes differently to the psychopathological profile of individual patients. However, the patients with hallucinatory disorder seemed to be mainly characterised by auditory verbal hallucinations, with relative sparing of the other functions typically altered in patients with schizophrenia. CONCLUSIONS The significant differences between the patients in the two groups seem to support the hypothesis that hallucinatory disorder may be considered as being a separate nosographic entity, in which the clinical picture is dominated by the experience of auditory verbal hallucinations.
Collapse
Affiliation(s)
- Massimo C Mauri
- University of Milan Medical School, IRCCS Ospedale Maggiore di Milano, Milano, Italy.
| | | | | | | | | | | |
Collapse
|
45
|
Alciati A, Ferri A, Rozzi S, Monforte AD, Colmegna F, Valli I, Mellado C. Changes in Lymphocyte Subsets in Depressed HIV-Infected Patients Without Antiretroviral Therapy. Psychosomatics 2001; 42:247-51. [PMID: 11351114 DOI: 10.1176/appi.psy.42.3.247] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The authors studied the effects of major depression on lymphocyte subsets by comparing depressed and matched control subjects in a population of HIV-seropositive outpatients not treated with antiretroviral therapy. Twelve patients with major depression, as determined by the Structured Clinical Interview for DSM-III-R, were assessed in comparison with 15 matched nondepressed control subjects. Flow cytometric analysis of peripheral blood lymphocyte subsets together with immunological parameters were performed. In HIV-infected patients, major depression was significantly (P=0.001) associated with a reduction in natural killer cell absolute count and percentage. This report suggests that depression may alter the natural killer cell population that provides a cytotoxic defense against HIV infection.
Collapse
Affiliation(s)
- A Alciati
- Department of Psychiatry, L. Sacco Hospital, Milan, Italy
| | | | | | | | | | | | | |
Collapse
|