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Shateri L, Yari Renani H, Rudsari AB, Nosratabad TH, Saeidi Z. Through the lens of schizophrenia: Recognizing negative facial expressions and family patterns. Schizophr Res Cogn 2025; 39:100336. [PMID: 39559797 PMCID: PMC11570855 DOI: 10.1016/j.scog.2024.100336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 10/22/2024] [Accepted: 10/22/2024] [Indexed: 11/20/2024]
Abstract
Schizophrenia is a complex disorder with symptoms such as hallucinations, delusions, and impaired social interactions, and deficits in facial emotion recognition are a key area of impairment. Studies indicate that recognizing facial emotions is essential for social interaction, and individuals with schizophrenia show significant difficulties, especially in recognizing negative emotions. Previous research has primarily focused on patients, with less attention on their first-degree relatives. This study investigates the ability to recognize negative facial expressions in paranoid and non-paranoid schizophrenia patients, their siblings, and matched healthy controls. This cross-sectional study included 60 paranoid schizophrenia patients, 60 non-paranoid schizophrenia patients, 59 siblings of paranoid patients, 60 siblings of non-paranoid patients, and 30 healthy controls, recruited from outpatients at Razi Hospital in Tabriz, Iran. The mean age was 35.7 years, and 54 % of participants were female. The Ekman 60 Faces Test assessed the recognition of basic facial emotions, focusing on negative emotions. The results revealed that paranoid schizophrenia patients showed significantly lower performance in recognizing negative facial emotions (mean score: 15.7) compared to non-paranoid patients (16.4) and siblings (28.1 for paranoid siblings, 27.4 for non-paranoid siblings). In contrast, healthy controls scored highest (29.0). This study highlights the deficits in emotion recognition in schizophrenia and their potential genetic underpinnings within family lines, contributing to understanding social cognition deficits related to the disorder.
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Affiliation(s)
- Leila Shateri
- Department of Psychiatry, Faculty of Medicine, Tabriz Medical Science University, Tabriz, Iran
| | | | - Abbas Bakhshipour Rudsari
- Department of Psychology, Faculty of Psychology & Educational Sciences, University of Tabriz, Tabriz, Iran
| | - Touraj Hashemi Nosratabad
- Department of Psychology, Faculty of Psychology & Educational Sciences, University of Tabriz, Tabriz, Iran
| | - Zahra Saeidi
- Shahid Beheshti University of Medical Science, Tehran, Iran
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2
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Karamaouna P, Zouraraki C, Economou E, Bitsios P, Giakoumaki SG. Facial Emotion Recognition and its Associations With Psychological Well-Being Across Four Schizotypal Dimensions: a Cross-Sectional Study. Arch Clin Neuropsychol 2025:acae123. [PMID: 39745836 DOI: 10.1093/arclin/acae123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 11/18/2024] [Accepted: 12/16/2024] [Indexed: 01/04/2025] Open
Abstract
OBJECTIVE The present study aimed to examine facial emotion recognition in a sample from the general population with elevated schizotypal traits, as defined by the four-factor model of schizotypy, and the association of facial emotion recognition and the schizotypal dimensions with psychological well-being. METHOD Two hundred and thirty-eight participants were allocated into four schizotypal groups and one control group. Following a cross-sectional study design, facial emotion recognition was assessed with a computerized task that included images from the Radboud Faces Database, schizotypal traits were measured with the Schizotypal Personality Questionnaire, and psychological well-being was evaluated with the Flourishing scale. RESULTS The results revealed distinct patterns of performance across the schizotypal groups and the application of a dimensional approach that included all participants as one group indicated specific associations between the four schizotypal dimensions and psychological well-being. Specifically, (a) negative schizotypes showed poor identification of sadness and fear potentially due to the activation of coping mechanisms, (b) disorganized schizotypes inaccurately recognized surprise, possibly reflecting the effects of disorganized thought on distinguishing this ambiguous emotion, and (c) psychological well-being was predicted by high cognitive-perceptual along with low negative and disorganized schizotypy as well as the accurate recognition of specific emotional states that are common in daily social interactions. CONCLUSIONS In conclusion, the study findings further advance the identification of emotion-processing difficulties in schizophrenia-vulnerable individuals and further highlight the need for highly personalized early intervention strategies.
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Affiliation(s)
- Penny Karamaouna
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, Gallos University campus, University of Crete, Rethymno 74100, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), Gallos University campus, University of Crete, Rethymno 74100, Greece
| | - Chrysoula Zouraraki
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, Gallos University campus, University of Crete, Rethymno 74100, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), Gallos University campus, University of Crete, Rethymno 74100, Greece
| | - Elias Economou
- Laboratory of Experimental Psychology, Department of Psychology, School of Social Sciences, Gallos University campus, University of Crete, Rethymno 74100, Greece
| | - Panos Bitsios
- Department of Psychiatry and Behavioural Sciences, Faculty of Medicine, Voutes University campus, University of Crete, Heraklion 71003, Greece
| | - Stella G Giakoumaki
- Laboratory of Neuropsychology, Department of Psychology, School of Social Sciences, Gallos University campus, University of Crete, Rethymno 74100, Greece
- University of Crete Research Center for the Humanities, the Social and Education Sciences (UCRC), Gallos University campus, University of Crete, Rethymno 74100, Greece
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3
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Giralt-López M, Miret S, Campanera S, Moreira M, Sotero-Moreno A, Krebs MO, Fañanás L, Fatjó-Vilas M. Theory of mind in schizophrenia through a clinical liability approach: a sib-pair study. Front Psychol 2024; 15:1391646. [PMID: 39734768 PMCID: PMC11672793 DOI: 10.3389/fpsyg.2024.1391646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 11/13/2024] [Indexed: 12/31/2024] Open
Abstract
Background Consistent findings indicate that Theory of Mind (ToM) is impaired in schizophrenia (SZ). To investigate whether such deficits are trait- or state-dependent, we investigated if ToM is modified by clinical liability markers (such as basic symptoms and psychotic-like experiences), focusing on the analysis of unaffected siblings of individuals diagnosed with SZ. Methods The study included a total of 65 participants: 38 patients diagnosed with a schizophrenia-spectrum disorder and 27 healthy siblings. ToM was assessed using the Hinting Task (HT), Basic symptoms with The Frankfurt Complaint Questionnaire (FCQ), Psychotic-like-experiences with the Community Assessment of Psychic Experiences (CAPE) and Family history with the Family Interview for Genetic Studies. Results First, a comparison of HT performance between patients and siblings (linear mixed model adjusted for age, sex and Intelligence Quotient (IQ)) showed that patients presented lower scores than siblings (p = 0.022). These differences did not remain significant after adjusting for clinical vulnerability markers. Second, within siblings, linear regression analyses (adjusted for age, sex, IQ and family history) showed that higher FCQ Depressiveness and CAPE negative scores were related to poorer ToM performance (p = 0.007 and p = 0.032, respectively). Conclusion Our findings suggest that clinical liability markers are valuable for delineating variations in ToM capabilities within healthy individuals. Moreover, our results indicate that ToM deficits are not solely linked to SZ but also extend to its clinical vulnerability, suggesting that ToM could serve as an endophenotypic marker. This implies that ToM could help distinguish particularly susceptible individuals from a population at risk, such as those with a genetic predisposition (siblings).
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Affiliation(s)
- M. Giralt-López
- Servei de Psiquiatria Infantil i de l’Adolescència, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- Institut Recerca Germans Trias i Pujol (IGTP), Badalona, Spain
| | - S. Miret
- Centre de Salut Mental d’Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria, Lleida, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Institut de Recerca Biomèdica (IRB) de Lleida, Lleida, Spain
| | - S. Campanera
- Centre de Salut Mental d’Adults de Lleida, Servei de Psiquiatria, Salut Mental i Addiccions, Hospital Universitari Santa Maria, Lleida, Spain
| | - M. Moreira
- Servei de Psiquiatria Infantil i de l’Adolescència, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
- Departament de Psiquiatria i Medicina Legal, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
- Institut Recerca Germans Trias i Pujol (IGTP), Badalona, Spain
| | - A. Sotero-Moreno
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - MO. Krebs
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris (INSERM U1266), GHU-Paris Psychiatrie et Neurosciences, Paris, France
| | - L. Fañanás
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
| | - M. Fatjó-Vilas
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain
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D'Andrea G, Quattrone D, Tripoli G, Spinazzola E, Gayer-Anderson C, Jongsma HE, Sideli L, Stilo SA, La Cascia C, Ferraro L, La Barbera D, Tortelli A, Velthorst E, de Haan L, Llorca PM, Santos JL, Arrojo M, Bobes J, Sanjuán J, Bernardo M, Arango C, Kirkbride JB, Jones PB, Rutten BP, Schürhoff F, Szöke A, van Os J, Vassos E, Selten JP, Morgan C, Di Forti M, Tarricone I, Murray RM. Variation of subclinical psychosis as a function of population density across different European settings: Findings from the multi-national EU-GEI study. Acta Psychiatr Scand 2024. [PMID: 39483050 DOI: 10.1111/acps.13767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 10/19/2024] [Accepted: 10/21/2024] [Indexed: 11/03/2024]
Abstract
BACKGROUND Urbanicity is a well-established risk factor for psychosis. Our recent multi-national study found an association between urbanicity and clinical psychosis in Northern Europe but not in Southern Europe. In this study, we hypothesized that the effect of current urbanicity on variation of schizotypy would be greater in North-western Europe countries than in Southern Europe ones. METHODS We recruited 1080 individuals representative of the populations aged 18-64 of 14 different sites within 5 countries, classified as either North-western Europe (England, France, and The Netherlands) with Southern Europe (Spain and Italy). Our main outcome was schizotypy, assessed through the Structured Interview for Schizotypy-Revised. Our main exposure was current urbanicity, operationalized as local population density. A priori confounders were age, sex, ethnic minority status, childhood maltreatment, and social capital. Schizotypy variation was assessed using multi-level regression analysis. To test the differential effect of urbanicity between North-western and Southern European, we added an interaction term between population density and region of recruitment. RESULTS Population density was associated with schizotypy (β = 0.248,95%CI = 0.122-0.375;p < 0.001). The addition of the interaction term improved the model fit (likelihood test ratio:χ2 = 6.85; p = 0.009). The effect of urbanicity on schizotypy was substantially stronger in North-western Europe (β = 0.620,95%CI = 0.362-0.877;p < 0.001) compared with Southern Europe (β = 0.190,95%CI = 0.083-0.297;p = 0.001). CONCLUSIONS The association between urbanicity and both subclinical schizotypy and clinical psychosis, rather than being universal, is context-specific. Considering that urbanization is a rapid and global process, further research is needed to disentangle the specific factors underlying this relationship.
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Affiliation(s)
- Giuseppe D'Andrea
- University of Montréal Hospital Reseach Centre (CRCHUM), Montréal, Québec, Canada
- Prevention and Early Intervention Program for Psychosis (PEPP)-Montréal, Douglas Mental Health University Institute, McGill University, Montréal, Québec, Canada
| | - Diego Quattrone
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Giada Tripoli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), Psychiatry Section, University of Palermo, Palermo, Italy
- Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy
| | - Edoardo Spinazzola
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Charlotte Gayer-Anderson
- ESRC Center for Society and Mental Health, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Hannah E Jongsma
- Centre for Transcultural Psychiatry 'Veldzicht', Balkbrug, Netherlands
- University Centre for Psychiatry, University Medical Centre Groningen, Groningen, Netherlands
| | - Lucia Sideli
- Department of Human Science, LUMSA University, Rome, Italy
| | - Simona A Stilo
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Mental Health and Addiction Services, ASP Crotone, Crotone, Italy
| | - Caterina La Cascia
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), Psychiatry Section, University of Palermo, Palermo, Italy
| | - Laura Ferraro
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), Psychiatry Section, University of Palermo, Palermo, Italy
| | - Daniele La Barbera
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), Psychiatry Section, University of Palermo, Palermo, Italy
| | | | - Eva Velthorst
- Department of Research, Community Mental Health Service, GGZ Noord-Holland-Noord, Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Jose Luis Santos
- Department of Psychiatry, Servicio de Psiquiatría Hospital "Virgen de la Luz", Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Psychiatric Genetic Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago, Spain
| | - Julio Bobes
- Department of Medicine, Psychiatry Area, School of Medicine, Universidad de Oviedo, ISPA, Ineuropa, CIBERSAM, Oviedo, Spain
| | - Julio Sanjuán
- Department of Psychiatry, School of Medicine, Universidad de Valencia, Centro de Investigación Biomédica en Red de Salud Mental, Valencia, Spain
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Hospital Clinic, Departament de Medicina, Institut de Neurociències (UBNeuro), Universitat de Barcelona (UB), Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), CIBERSAM, ISCIII, Barcelona, Spain
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, School of Medicine, Universidad Complutense, CIBERSAM, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | | | - Peter B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, England, UK
| | - Bart P Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Franck Schürhoff
- Univ Paris Est Creteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, France
| | - Andrei Szöke
- Univ Paris Est Creteil, INSERM, IMRB, AP-HP, Hôpitaux Universitaires « H. Mondor », DMU IMPACT, France
| | - Jim van Os
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- School for Mental Health and Neuroscience, University of Maastricht, Maastricht, The Netherlands
| | - Evangelos Vassos
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jean-Paul Selten
- School for Mental Health and Neuroscience, University of Maastricht, Maastricht, The Netherlands
| | - Craig Morgan
- ESRC Center for Society and Mental Health, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Marta Di Forti
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ilaria Tarricone
- Department of Medical and Surgical Sciences (DIMEC), Bologna Transcultural Psychosomatic Team (BoTPT), University of Bologna, Bologna, Italy
- Department of Mental Health and Pathological Addiction, Bologna, Italy
| | - Robin M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Fusar-Poli L, Panariello F, Berry K, Rocchetti M, Casiraghi L, Malvezzi M, Starace F, Zamparini M, Zarbo C, de Girolamo G. Working alliance in treating staff and patients with Schizophrenia Spectrum Disorder living in Residential Facilities. BRITISH JOURNAL OF CLINICAL PSYCHOLOGY 2024; 63:156-177. [PMID: 38115200 DOI: 10.1111/bjc.12450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 11/15/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023]
Abstract
OBJECTIVES Working Alliance (WA) is important in the care of patients with Schizophrenia Spectrum Disorders (SSD). This study aims to determine which sociodemographic and clinical factors are associated with WA, as assessed by patients and staff members in Residential Facilities (RFs), and may predict WA dyads' discrepancies. METHODS Three hundred and three SSD patients and 165 healthcare workers were recruited from 98 RFs and characterized for sociodemographic features. WA was rated by the Working Alliance Inventory (WAI) for patients (WAI-P) and staff members (WAI-T). SSD patients were assessed for the severity of psychopathology and psychosocial functioning. RESULTS Pearson's correlation revealed a positive correlation (ρ = .314; p < .001) between WAI-P and WAI-T ratings. Linear regression showed that patients with higher education reported lower WAI-P ratings (β = -.50, p = .044), while not being engaged in work or study was associated with lower WAI-T scores (β = -4.17, p = .015). A shorter lifetime hospitalization was associated with higher WAI-P ratings (β = 5.90, p = .008), while higher psychopathology severity negatively predicted WAI-T (β = -.10, p = .002) and WAI-P ratings (β = -.19, p < .001). Better functioning level positively foresaw WAI-T (β = .14, p < .001) and WAI-P ratings (β = .12, p < .001). Regarding discrepancies, staff members' age was associated with higher dyads discrepancy in Total scale and Agreement subscale scores, which were also associated with more severe negative symptoms, while patients' age was negatively correlated to Relationship subscale discrepancy. CONCLUSIONS This study provides insight into the factors that influence WA in SSD patients and health workers in RFs. The findings address interventions to improve WA and ultimately patient outcomes.
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Affiliation(s)
- Laura Fusar-Poli
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Fabio Panariello
- Department of Biomedical and NeuroMotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Katherine Berry
- Division of Psychology and Mental Health, University of Manchester, Manchester, UK
- Department of Research and Innovation, Research and Innovation, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Matteo Rocchetti
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
- Department of Mental Health and Dependence, ASST of Pavia, Pavia, Italy
| | - Letizia Casiraghi
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Matteo Malvezzi
- Department of Biostatistics, University of Parma, Parma, Italy
| | - Fabrizio Starace
- Department of Mental Health and Dependence, AUSL of Modena, Modena, Italy
| | - Manuel Zamparini
- Unit of Epidemiological and Evaluation Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Cristina Zarbo
- Unit of Epidemiological and Evaluation Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giovanni de Girolamo
- Unit of Epidemiological and Evaluation Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
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6
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Toro VD, Antonucci LA, Quarto T, Passiatore R, Fazio L, Ursini G, Chen Q, Masellis R, Torretta S, Sportelli L, Kikidis GC, Massari F, D'Ambrosio E, Rampino A, Pergola G, Weinberger DR, Bertolino A, Blasi G. The interaction between early life complications and a polygenic risk score for schizophrenia is associated with brain activity during emotion processing in healthy participants. Psychol Med 2024; 54:1876-1885. [PMID: 38305128 DOI: 10.1017/s0033291724000011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
BACKGROUND Previous evidence suggests that early life complications (ELCs) interact with polygenic risk for schizophrenia (SCZ) in increasing risk for the disease. However, no studies have investigated this interaction on neurobiological phenotypes. Among those, anomalous emotion-related brain activity has been reported in SCZ, even if evidence of its link with SCZ-related genetic risk is not solid. Indeed, it is possible this relationship is influenced by non-genetic risk factors. Thus, this study investigated the interaction between SCZ-related polygenic risk and ELCs on emotion-related brain activity. METHODS 169 healthy participants (HP) in a discovery and 113 HP in a replication sample underwent functional magnetic resonance imaging (fMRI) during emotion processing, were categorized for history of ELCs and genome-wide genotyped. Polygenic risk scores (PRSs) were computed using SCZ-associated variants considering the most recent genome-wide association study. Furthermore, 75 patients with SCZ also underwent fMRI during emotion processing to verify consistency of their brain activity patterns with those associated with risk factors for SCZ in HP. RESULTS Results in the discovery and replication samples indicated no effect of PRSs, but an interaction between PRS and ELCs in left ventrolateral prefrontal cortex (VLPFC), where the greater the activity, the greater PRS only in presence of ELCs. Moreover, SCZ had greater VLPFC response than HP. CONCLUSIONS These results suggest that emotion-related VLPFC response lies in the path from genetic and non-genetic risk factors to the clinical presentation of SCZ, and may implicate an updated concept of intermediate phenotype considering early non-genetic factors of risk for SCZ.
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Affiliation(s)
- Veronica Debora Toro
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- Department of Humanities, University of Foggia, Foggia, Italy
| | - Linda A Antonucci
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Tiziana Quarto
- Department of Humanities, University of Foggia, Foggia, Italy
| | - Roberta Passiatore
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Leonardo Fazio
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- Department of Medicine and Surgery, Libera Università Mediterranea "Giuseppe Degennaro", Bari, Italy
| | - Gianluca Ursini
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA
| | - Qiang Chen
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Rita Masellis
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- U.O.C. Psichiatria Universitaria, Azìenda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | - Silvia Torretta
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Leonardo Sportelli
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Gianluca Christos Kikidis
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Francesco Massari
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
| | - Enrico D'Ambrosio
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, SE5 8AF, UK
| | - Antonio Rampino
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- U.O.C. Psichiatria Universitaria, Azìenda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | - Giulio Pergola
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Alessandro Bertolino
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- U.O.C. Psichiatria Universitaria, Azìenda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
| | - Giuseppe Blasi
- Psychiatric Neuroscience Group, Department of Translational Biomedicine and Neuroscience, University of Bari "Aldo Moro", Bari, Italy
- U.O.C. Psichiatria Universitaria, Azìenda Ospedaliero-Universitaria Consorziale Policlinico, Bari, Italy
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7
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Grave J, Cordeiro S, de Sá Teixeira N, Korb S, Soares SC. Emotional anticipation for dynamic emotional faces is not modulated by schizotypal traits: A Representational Momentum study. Q J Exp Psychol (Hove) 2024:17470218241253703. [PMID: 38679800 DOI: 10.1177/17470218241253703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/01/2024]
Abstract
Schizotypy, a personality structure that resembles schizophrenia symptoms, is often associated with abnormal facial emotion perception. Based on the prevailing sense of threat in psychotic experiences, and the immediate perceptual history of seeing others' facial expressions, individuals with high schizotypal traits may exhibit a heightened tendency to anticipate anger. To test this, we used insights from Representational Momentum (RM), a perceptual phenomenon in which the endpoint of a dynamic event is systematically displaced forward, into the immediate future. Angry-to-ambiguous and happy-to-ambiguous avatar faces were presented, each followed by a probe with the same (ambiguous) expression as the endpoint, or one slightly changed to express greater happiness/anger. Participants judged if the probe was "equal" to the endpoint and rated how confident they were. The sample was divided into high (N = 46) and low (N = 49) schizotypal traits using the Schizotypal Personality Questionnaire (SPQ). First, a forward bias was found in happy-to-ambiguous faces, suggesting emotional anticipation solely for dynamic faces changing towards a potential threat (anger). This may reflect an adaptative mechanism, as it is safer to anticipate any hostility from a conspecific than the opposite. Second, contrary to our hypothesis, high schizotypal traits did not heighten RM for happy-to-ambiguous faces, nor did they lead to overconfidence in biased judgements. This may suggest a typical pattern of emotional anticipation in non-clinical schizotypy, but caution is needed due to the use of self-report questionnaires, university students, and a modest sample size. Future studies should also investigate if the same holds for clinical manifestations of schizophrenia.
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Affiliation(s)
- Joana Grave
- William James Center for Research (WJCR-Aveiro), Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
- Center for Health Technology and Services Research (CINTESIS@RISE), Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
| | - Sara Cordeiro
- Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
| | - Nuno de Sá Teixeira
- William James Center for Research (WJCR-Aveiro), Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
| | - Sebastian Korb
- Department of Psychology, University of Essex, Colchester, UK
- Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria
| | - Sandra Cristina Soares
- William James Center for Research (WJCR-Aveiro), Department of Education and Psychology, University of Aveiro, Aveiro, Portugal
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8
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Bae M, Cho J, Won S. Facial emotion-recognition deficits in patients with schizophrenia and unaffected first-degree relatives. Front Psychiatry 2024; 15:1373288. [PMID: 38680783 PMCID: PMC11046458 DOI: 10.3389/fpsyt.2024.1373288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/28/2024] [Indexed: 05/01/2024] Open
Abstract
Introduction This study aimed to determine trait- and state-dependent markers of schizophrenia by investigating facial emotion-recognition (FER) deficits in remitted patients with schizophrenia and their first-degree relatives (FR). Methods Three groups were included: the Schizophrenia group (n=66), their unaffected FR group (n=40), and healthy controls (n=50) who were matched for age, sex, and years of education. A facial-labeling task was used to examine FER deficits using the following eight standardized expressions: happy, fearful, disgusted, angry, sad, contemptuous, surprised, and neutral. Results There was a poorer accuracy in the recognition of sadness and anger in the Schizophrenia group as well as in contempt in both the Schizophrenia and FR groups compared with healthy controls. The response times for the recognition of contempt, sadness, and neutral emotion were delayed in the Schizophrenia group and those for fear were delayed in the Schizophrenia and FR groups compared with healthy controls. Conclusion Concerning the accuracy in FER, sadness and anger can be considered state-dependent markers of remitted schizophrenia, and contempt is a trait-dependent marker of schizophrenia. Similarly, for response times in FER, contempt, sadness, and neutral emotion can be considered state-dependent markers of remitted schizophrenia, while fear is considered a trait-dependent marker of schizophrenia. These findings may contribute to the early diagnosis of schizophrenia and the development of relevant therapeutic interventions.
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Affiliation(s)
- Minjae Bae
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
- Department of Psychiatry, Gyeongsan Joongang Hospital, Gyeongsan, Gyeongbuk, Republic of Korea
| | - Jihyun Cho
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
- Department of Psychiatry, Kyungpook National University Hospital, Daegu, Republic of Korea
| | - Seunghee Won
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
- Department of Psychiatry, Kyungpook National University Hospital, Daegu, Republic of Korea
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9
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De Prisco M, Oliva V, Fico G, Montejo L, Possidente C, Bracco L, Fortea L, Anmella G, Hidalgo-Mazzei D, Fornaro M, de Bartolomeis A, Serretti A, Murru A, Vieta E, Radua J. Differences in facial emotion recognition between bipolar disorder and other clinical populations: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110847. [PMID: 37625644 DOI: 10.1016/j.pnpbp.2023.110847] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/01/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023]
Abstract
Facial emotion (or expression) recognition (FER) is a domain of affective cognition impaired across various psychiatric conditions, including bipolar disorder (BD). We conducted a systematic review and meta-analysis searching for eligible articles published from inception to April 26, 2023, in PubMed/MEDLINE, Scopus, EMBASE, and PsycINFO to examine whether and to what extent FER would differ between people with BD and those with other mental disorders. Thirty-three studies comparing 1506 BD patients with 1973 clinical controls were included in the present systematic review, and twenty-six of them were analyzed in random-effects meta-analyses exploring the discrepancies in discriminating or identifying emotional stimuli at a general and specific level. Individuals with BD were more accurate in identifying each type of emotion during a FER task compared to individuals diagnosed with schizophrenia (SCZ) (SMD = 0.27; p-value = 0.006), with specific differences in the perception of anger (SMD = 0.46; p-value = 1.19e-06), fear (SMD = 0.38; p-value = 8.2e-04), and sadness (SMD = 0.33; p-value = 0.026). In contrast, BD patients were less accurate than individuals with major depressive disorder (MDD) in identifying each type of emotion (SMD = -0.24; p-value = 0.014), but these differences were more specific for sad emotional stimuli (SMD = -0.31; p-value = 0.009). No significant differences were observed when BD was compared with children and adolescents diagnosed with attention-deficit/hyperactivity disorder. FER emerges as a potential integrative instrument for guiding diagnosis by enabling discrimination between BD and SCZ or MDD. Enhancing the standardization of adopted tasks could further enhance the accuracy of this tool, leveraging FER potential as a therapeutic target.
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Affiliation(s)
- Michele De Prisco
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Vincenzo Oliva
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Giovanna Fico
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain.
| | - Laura Montejo
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Chiara Possidente
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Lorenzo Bracco
- Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy.
| | - Lydia Fortea
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, IDIBAPS, Barcelona, Spain.
| | - Gerard Anmella
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain.
| | - Diego Hidalgo-Mazzei
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain.
| | - Michele Fornaro
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology Federico II University of Naples, Naples, Italy.
| | - Andrea de Bartolomeis
- Section of Psychiatry, Department of Neuroscience, Reproductive Science and Odontostomatology Federico II University of Naples, Naples, Italy.
| | - Alessandro Serretti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy.
| | - Andrea Murru
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain.
| | - Eduard Vieta
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), c. Casanova, 143, 08036 Barcelona, Spain; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036 Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036 Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
| | - Joaquim Radua
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, IDIBAPS, Barcelona, Spain; Early Psychosis: Interventions and Clinical-Detection (EPIC) Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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10
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Fusar-Poli L, Rodolico A, Martinez M, Fichera C, Lin BD, Basadonne I, Concerto C, Aguglia E, Guloksuz S, Signorelli MS. The association between polygenic risk scores for mental disorders and social cognition: A scoping review. J Psychiatr Res 2023; 164:389-401. [PMID: 37418886 DOI: 10.1016/j.jpsychires.2023.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 06/10/2023] [Accepted: 06/21/2023] [Indexed: 07/09/2023]
Abstract
People with mental disorders, such as psychosis or autism spectrum disorder (ASD), often present impairments in social cognition (SC), which may cause significant difficulties in real-world functioning. SC deficits are seen also in unaffected relatives, indicating a genetic substratum. The present review evaluated the evidence on the association between SC and the polygenic risk score (PRS), a single metric of the molecular genetic risk to develop a specific disorder. In July 2022, we conducted systematic searches in Scopus and PubMed following the PRISMA-ScR guidelines. We selected original articles written in English reporting results on the association between PRSs for any mental disorder and domains of SC either in people with mental disorders or controls. The search yielded 244 papers, of which 13 were selected for inclusion. Studies tested mainly PRSs for schizophrenia, ASD, and attention-deficit hyperactivity disorder. Emotion recognition was the most investigated domain of SC. Overall, evidence revealed that currently available PRSs for mental disorders do not explain variation in SC performances. To enhance the understanding of mechanisms underlying SC in mental disorders, future research should focus on the development of transdiagnostic PRSs, study their interaction with environmental risk factors, and standardize outcome measurement.
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Affiliation(s)
- Laura Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Italy; Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy.
| | - Alessandro Rodolico
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy
| | - Miriam Martinez
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy
| | - Clarissa Fichera
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy
| | - Bochao D Lin
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Ilaria Basadonne
- Department of Brain and Behavioral Sciences, University of Pavia, Italy
| | - Carmen Concerto
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy
| | - Eugenio Aguglia
- Department of Clinical and Experimental Medicine, Psychiatry Unit, University of Catania, Italy
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, the Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
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11
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Högman L, Gavalova G, Laukka P, Kristiansson M, Källman MV, Fischer H, Johansson AGM. Cognition, prior aggression, and psychopathic traits in relation to impaired multimodal emotion recognition in psychotic spectrum disorders. Front Psychiatry 2023; 14:1111896. [PMID: 37426085 PMCID: PMC10323411 DOI: 10.3389/fpsyt.2023.1111896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 04/03/2023] [Indexed: 07/11/2023] Open
Abstract
Background Psychopathic traits have been associated with impaired emotion recognition in criminal, clinical and community samples. A recent study however, suggested that cognitive impairment reduced the relationship between psychopathy and emotion recognition. We therefore investigated if reasoning ability and psychomotor speed were impacting emotion recognition in individuals with psychotic spectrum disorders (PSD) with and without a history of aggression, as well as in healthy individuals, more than self-rated psychopathy ratings on the Triarchic Psychopathy Measure (TriPM). Methods Eighty individuals with PSD (schizophrenia, schizoaffective disorder, delusional disorder, other psychoses, psychotic bipolar disorder) and documented history of aggression (PSD+Agg) were compared with 54 individuals with PSD without prior aggression (PSD-Agg) and with 86 healthy individuals on the Emotion Recognition Assessment in Multiple Modalities (ERAM test). Individuals were psychiatrically stable and in remission from possible substance use disorders. Scaled scores on matrix reasoning, averages of dominant hand psychomotor speed and self-rated TriPM scores were obtained. Results Associations existed between low reasoning ability, low psychomotor speed, patient status and prior aggression with total accuracy on the ERAM test. PSD groups performed worse than the healthy group. Whole group correlations between total and subscale scores of TriPM to ERAM were found, but no associations with TriPM scores within each group or in general linear models when accounting for reasoning ability, psychomotor speed, understanding of emotion words and prior aggression. Conclusion Self-rated psychopathy was not independently linked to emotion recognition in PSD groups when considering prior aggression, patient status, reasoning ability, psychomotor speed and emotion word understanding.
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Affiliation(s)
- Lennart Högman
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Gabriela Gavalova
- Aleris Psychiatry, Täby Psychotic Disorders Clinic, Stockholm, Sweden
| | - Petri Laukka
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Marianne Kristiansson
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Centre for Psychiatry Research, Stockholm, Sweden
- Swedish National Board of Forensic Medicine, Stockholm, Sweden
| | - Malin V. Källman
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Centre for Psychiatry Research, Stockholm, Sweden
| | - Hakan Fischer
- Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Anette G. M. Johansson
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Centre for Psychiatry Research, Stockholm, Sweden
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12
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Fusar-Poli L, Prachason T, Erzin G, Pries LK, Brondino N, Politi P, Delespaul P, Kenis G, Luykx JJ, Lin BD, Richards AL, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Escarti MJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Üçok A, Alptekin K, Saka MC, Arango C, O'Donovan M, van Os J, Rutten BP, Guloksuz S. Examining the association between exposome score for schizophrenia and cognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. Psychiatry Res 2023; 323:115184. [PMID: 37015164 DOI: 10.1016/j.psychres.2023.115184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 03/23/2023] [Accepted: 03/26/2023] [Indexed: 04/06/2023]
Abstract
BACKGROUND People with schizophrenia spectrum disorders (SSD) frequently present cognitive impairments. Here, we investigated whether the exposome score for schizophrenia (ES-SCZ) - a cumulative environmental exposure score - was associated with impairments of neurocognition, social cognition, and perception in patients with SSD, their unaffected siblings, and healthy controls. METHODS This cross-sectional sample consisted of 1200 patients, 1371 siblings, and 1564 healthy controls. Neurocognition, social cognition, and perception were assesed using a short version of the Wechsler Adult Intelligence Scale-Third Edition (WAIS-III), the Degraded Facial Affect Recognition Task (DFAR), and the Benton Facial Recognition Test (BFR), respectively. Regression models were used to analyze the association between ES-SCZ and cognitive domains in each group. RESULTS There were no statistically significant associations between ES-SCZ and cognitive domains in SSD. ES-SCZ was negatively associated with T-score of cognition in siblings (B=-0.40, 95% CI -0.76 to -0.03) and healthy controls (B=-0.63, 95% CI -1.06 to -0.21). Additionally, ES-SCZ was positively associated with DFAR-total in siblings (B=0.83, 95% CI 0.26 to 1.40). Sensitivity analyses excluding cannabis use history from ES-SCZ largely confirmed the main findings. CONCLUSIONS Longitudinal cohorts may elucidate how environmental exposures influence the onset and course of cognitive impairments in trans-syndromic psychosis spectrum.
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Affiliation(s)
- Laura Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Thanavadee Prachason
- Department of Psychiatry, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Gamze Erzin
- Department of Psychiatry, Health Science University, Dışkapı Yıldırım Beyazıt Training and Research Hospital, Ankara, Turkey; Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Lotta-Katrin Pries
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Natascia Brondino
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Pierluigi Politi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Philippe Delespaul
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Mondriaan Mental Health Centre, Maastricht/Heerlen, The Netherlands
| | - Gunter Kenis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jurjen J Luykx
- Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands; Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; GGNet Mental Health, Apeldoorn, The Netherlands
| | - Bochao D Lin
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Translational Neuroscience, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Alexander L Richards
- Cardiff University Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Berna Akdede
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Tolga Binbay
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | - Vesile Altınyazar
- Department of Psychiatry, Faculty of Medicine, Adnan Menderes University, Aydin, Turkey
| | - Berna Yalınçetin
- Department of Neuroscience, Graduate School of Health Sciences, Dokuz Eylul University, Izmir, Turkey
| | - Güvem Gümüş-Akay
- Department of Physiology, School of Medicine, Ankara University, Ankara, Turkey; Brain Research Center, Ankara University, Ankara, Turkey; Neuroscience and Neurotechnology Center of Excellence (NÖROM), Ankara, Turkey
| | - Burçin Cihan
- Department of Psychology, Middle East Technical University, Ankara, Turkey
| | - Haldun Soygür
- Turkish Federation of Schizophrenia Associations, Ankara, Turkey
| | - Halis Ulaş
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey
| | | | | | - Marina M Mihaljevic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Clinic for Psychiatry, University Clinical Center of Serbia, Belgrade, Serbia
| | - Sanja Andric-Petrovic
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Institute of Mental Health, Belgrade, Serbia
| | - Tijana Mirjanic
- Special Hospital for Psychiatric Disorders Kovin, Kovin, Serbia
| | - Miguel Bernardo
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Gisela Mezquida
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Silvia Amoretti
- Barcelona Clinic Schizophrenia Unit, Neuroscience Institute, Hospital Clinic of Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi I Sunyer, Barcelona, Spain; Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain
| | - Julio Bobes
- Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Pilar A Saiz
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Maria Paz García-Portilla
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, School of Medicine, University of Oviedo, Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain; Mental Health Services of Principado de Asturias, Oviedo, Spain
| | - Julio Sanjuan
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - Maria Jose Escarti
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Clínico Universitario de Valencia, School of Medicine, Universidad de Valencia, Valencia, Spain
| | - José Luis Santos
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Department of Psychiatry, Hospital Virgen de la Luz, Cuenca, Spain
| | - Estela Jiménez-López
- Biomedical Research Networking Centre in Mental Health (CIBERSAM), Spain; Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain
| | - Manuel Arrojo
- Department of Psychiatry, Instituto de Investigación Sanitaria, Complejo Hospitalario Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Angel Carracedo
- Grupo de Medicina Genómica, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Universidad de Santiago de Compostela, Santiago de Compostela, Spain; Fundación Pública Galega de Medicina Xenómica (SERGAS), IDIS, Santiago de Compostela, Spain
| | - Gonzalo López
- Biomedical Research Networking Centre in Mental Health (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
| | - Javier González-Peñas
- Biomedical Research Networking Centre in Mental Health (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
| | - Mara Parellada
- Biomedical Research Networking Centre in Mental Health (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
| | - Nadja P Maric
- University of Belgrade, Faculty of Medicine, Belgrade, Serbia; Institute of Mental Health, Belgrade, Serbia
| | - Cem Atbaşoğlu
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Alp Üçok
- Department of Psychiatry, Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Köksal Alptekin
- Department of Psychiatry, Faculty of Medicine, Dokuz Eylul University, Izmir, Turkey; Department of Psychiatry, Faculty of Medicine, Adnan Menderes University, Aydin, Turkey
| | - Meram Can Saka
- Department of Psychiatry, School of Medicine, Ankara University, Ankara, Turkey
| | - Celso Arango
- Biomedical Research Networking Centre in Mental Health (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
| | - Michael O'Donovan
- Cardiff University Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Psychiatry, UMC Utrecht Brain Centre, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands; Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Bart Pf Rutten
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
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13
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Alfimova MV, Mikhailova VA, Gabaeva MV, Plakunova VV, Lezheiko TV, Golimbet VE. [Effects of oxytocin pathway gene polymorphisms and adverse childhood experiences on emotion recognition in schizophrenia spectrum disorders]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:90-95. [PMID: 37796073 DOI: 10.17116/jnevro202312309190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
OBJECTIVE To study a role of the interaction of oxytocin pathway gene polymorphisms and adverse childhood experiences (ACE) in facial emotion recognition (FER) deficits in schizophrenia. MATERIAL AND METHODS Patients with schizophrenia spectrum disorders (n=699) completed cognitive testing, which included a FER task. We determined patients' genotypes for common polymorphisms in three of the oxytocin pathway genes which were previously associated with face perception: OXTR (rs53576, rs7632287), CD38 (rs3796863) and ARNT2 (rs4778599). The presence of ACE in the patient's history was assessed via an analysis of medical records. RESULTS In our sample, 49% of participants experienced ACE. ANCOVA adjusted for age and gender revealed a significant interaction effect of OXTR rs53576 with ACE on FER scores (F=11.51; p<0.001; η2p=0.02). The effect remained significant when accounting for cognitive functioning and negative symptoms. Carriers of the A allele without ACE recognized emotions worse than GG homozygotes without ACE (p=0.039) and carriers of the A allele with ACE (p=0.009). CONCLUSION The results are consistent with the notion of the A (rs53576) allele's role in sensitivity to childhood experiences that influence the psychosocial development and can be used in further studies of the oxytocin treatment of social cognition and social adaptation of patients with schizophrenia.
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Affiliation(s)
- M V Alfimova
- Mental Health Research Center, Moscow, Russia
- Alexeev Mental-Health Clinical Hospital No. 1, Moscow Healthcare Department, Moscow, Russia
| | | | - M V Gabaeva
- Mental Health Research Center, Moscow, Russia
| | | | | | - V E Golimbet
- Mental Health Research Center, Moscow, Russia
- Alexeev Mental-Health Clinical Hospital No. 1, Moscow Healthcare Department, Moscow, Russia
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14
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Fusar-Poli L, Aguglia A, Albert U. Editorial: Early identification of affective and non-affective psychoses: From psychopathology to biomarkers. Front Psychiatry 2023; 14:1144943. [PMID: 36815189 PMCID: PMC9939889 DOI: 10.3389/fpsyt.2023.1144943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 01/25/2023] [Indexed: 02/09/2023] Open
Affiliation(s)
- Laura Fusar-Poli
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Andrea Aguglia
- Section of Psychiatry, Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Umberto Albert
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy.,Azienda Sanitaria Integrata Giuliano-Isontina - ASUGI, UCO Clinica Psichiatrica, Trieste, Italy
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15
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The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. Eur Neuropsychopharmacol 2022; 63:47-59. [PMID: 36055075 DOI: 10.1016/j.euroneuro.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 08/12/2022] [Accepted: 08/16/2022] [Indexed: 11/23/2022]
Abstract
Schizophrenia is frequently accompanied with social cognitive disturbances. Cannabis represents one established environmental factor associated with the onset and progression of schizophrenia. The present cross-sectional study aimed to investigate the association of facial emotion recognition (FER) performance with cannabis use in 2039 patients with schizophrenia, 2141 siblings, and 2049 healthy controls (HC). FER performance was measured using the Degraded Facial Affect Recognition Task (DFAR). Better FER performance as indicated by higher DFAR-total scores was associated with lifetime regular cannabis use in schizophrenia (B = 1.36, 95% CI 0.02 to 2.69), siblings (B = 2.17, 95% CI 0.79 to 3.56), and HC (B = 3.10, 95% CI 1.14 to 5.06). No associations were found between DFAR-total and current cannabis use. Patients with schizophrenia who started to use cannabis after the age of 16 showed better FER performance than patients who started earlier (B = 2.50, 95% CI 0.15 to 4.84) and non-users (B = 3.72, 95 CI 1.96 to 5.49). Better FER performance was found also in siblings who started to use cannabis after 16 compared to non-users (B = 2.37, 95% CI 0.58 to 4.16), while HC using cannabis performed better than non-users at DFAR-total regardless of the age at onset. Our findings suggest that lifetime regular cannabis use may be associated with better FER regardless of the psychosis risk, but that FER might be moderated by age at first use in people with higher genetic risk. Longitudinal studies may clarify whether there is a cause-and-effect relationship between cannabis use and FER performance in psychotic and non-psychotic samples.
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