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Calzavara-Pinton I, Nibbio G, Barlati S, Bertoni L, Necchini N, Zardini D, Baglioni A, Paolini S, Poddighe L, Bulgari V, Lisoni J, Deste G, Vita A. Treatment of Cognitive Impairment Associated with Schizophrenia Spectrum Disorders: New Evidence, Challenges, and Future Perspectives. Brain Sci 2024; 14:791. [PMID: 39199483 PMCID: PMC11352256 DOI: 10.3390/brainsci14080791] [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: 07/11/2024] [Revised: 07/29/2024] [Accepted: 08/03/2024] [Indexed: 09/01/2024] Open
Abstract
Cognitive impairment associated with schizophrenia (CIAS) represents one of the core features of the disorder and has a significant impact on functional and rehabilitation outcomes of people living with schizophrenia spectrum disorders (SSD). The aim of this critical review is to highlight the most recent evidence on effective treatments available for CIAS, to discuss the current challenges in this field, and to present future perspectives that may help to overcome them. Concerning psychopharmacological approaches, among the most indicated strategies for the management and prevention of CIAS is to favor second-generation antipsychotic medications and avoid long-term and high-dose treatments with anticholinergic medications and benzodiazepines. Moreover, non-pharmacological approaches such as cognitive remediation and physical exercise-based programs represent evidence-based interventions in the treatment of CIAS that have shown reliable evidence of effectiveness on both cognitive and functional outcomes. These treatments, however, are still delivered to people accessing mental health services with a diagnosis of CIAS in an uneven manner, even in high-income countries. Academic and clinical partnership and collaboration, as well as advocacy from service users, families, carers, and stakeholders' organizations could help to reduce the bench to bedside gap in the treatment of CIAS. Future perspectives include the development of novel pharmacological agents that could be effective in the treatment of CIAS, the implementation of novel technologies such as telemedicine and virtual reality in the delivery of evidence-based interventions to improve accessibility and engagement, and further research in the field of non-invasive brain stimulation.
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Affiliation(s)
- Irene Calzavara-Pinton
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Stefano Barlati
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Lorenzo Bertoni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Daniela Zardini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Antonio Baglioni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Stefano Paolini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Laura Poddighe
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Viola Bulgari
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
| | - Giacomo Deste
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
- Department of Mental Health, ASST Valcamonica, 25040 Brescia, Italy
| | - Antonio Vita
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.); (A.V.)
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (D.Z.); (A.B.); (S.P.); (V.B.); (G.D.)
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Nibbio G, Bertoni L, Calzavara-Pinton I, Necchini N, Paolini S, Baglioni A, Zardini D, Poddighe L, Bulgari V, Lisoni J, Deste G, Barlati S, Vita A. The Relationship between Cognitive Impairment and Violent Behavior in People Living with Schizophrenia Spectrum Disorders: A Critical Review and Treatment Considerations. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1261. [PMID: 39202542 PMCID: PMC11356552 DOI: 10.3390/medicina60081261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 09/03/2024]
Abstract
Cognitive impairment is a core feature of schizophrenia spectrum disorders (SSD). Violent and aggressive behavior represents a complex issue in psychiatry, and people with SSD have been shown to be at risk of being both victims and perpetrators of violence. In this review, the complex relationship between cognitive impairment and violent behavior is explored, also considering the usefulness of treating cognitive impairment to improve violence-related outcomes. Several studies report that cognitive impairment is linked to violent behavior, but significant differences between domains and conflicting results are also present, leaving the identification of specific cognitive profiles predicting violent behavior in SSD as an important aim for future research. Evidence regarding the effectiveness of treating cognitive impairment to improve violent behavior, while heterogeneous, provides more consistent results: cognition-targeting interventions appear to provide significant benefits also in the prevention of aggression in people living with SSD, and preliminary evidence shows cognition-focused interventions targeting violent behavior improve both cognition- and violence-related outcomes. Implementing these interventions in clinical practice could be of great usefulness, particularly in forensic contexts. Physical exercise, which improves cognitive performance and psychosocial functioning in SSD, appears to reduce violent behavior in healthy individuals, but requires further studies in clinical samples.
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Affiliation(s)
- Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Lorenzo Bertoni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Irene Calzavara-Pinton
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.)
| | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Stefano Paolini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Antonio Baglioni
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Daniela Zardini
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Laura Poddighe
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.)
| | - Viola Bulgari
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.)
| | - Giacomo Deste
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
- Department of Mental Health, ASST Valcamonica, 25123 Brescia, Italy
| | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.)
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy; (G.N.); (L.B.); (N.N.); (S.P.); (A.B.); (D.Z.); (V.B.); (G.D.); (A.V.)
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, 25123 Brescia, Italy; (I.C.-P.); (L.P.); (J.L.)
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Nibbio G, Pinton IC, Barlati S, Stanga V, Bertoni L, Necchini N, Zardini D, Lisoni J, Deste G, Vita A. Predictors of psychosocial functioning in people diagnosed with schizophrenia spectrum disorders that committed violent offences and in those that did not: Results of the Recoviwel study. Schizophr Res 2024; 270:112-120. [PMID: 38896937 DOI: 10.1016/j.schres.2024.06.023] [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: 07/06/2023] [Revised: 04/07/2024] [Accepted: 06/15/2024] [Indexed: 06/21/2024]
Abstract
Psychosocial functioning represents a core treatment target of Schizophrenia Spectrum Disorders (SSD), and several clinical and cognitive factors contribute to its impairment. However, determinants of psychosocial functioning in people living with SSD that committed violent offences remain to be more thoroughly explored. This study aims to separately assess and compare predictors of psychosocial functioning in people with SSD that did and that did not commit violent offences considering several clinical, cognitive and violence-related parameters. Fifty inmates convicted for violent crimes in a forensic psychiatry setting diagnosed with SSD (OP group) and fifty participants matched for age, gender, education, and diagnosis (Non-OP group) were included in the study. A higher risk of violent relapse as measured by HCR-20 clinical subscale scores (p < 0.002) and greater global clinical severity as measured by CGI-S scores (p = 0.023) emerged as individual predictors of worse psychosocial functioning, as measured by PSP scores, in the OP group. Greater global clinical severity (p < 0.001), worse performance in the processing speed domain as measured by the BACS Symbol Coding (p = 0.002) and TMT-A tests (p = 0.016) and higher levels of non-planning impulsivity as measured by BIS-11 scores (p < 0.001) emerged as individual predictors of worse psychosocial functioning in the Non-OP group. These results confirm that clinical severity impacts psychosocial functioning in all individuals diagnosed with SSD and suggest that while cognitive impairment clearly represents a determinant of worse functional outcomes in most patients, the risk of violent relapse is a specific predictor of worse psychosocial functioning in people with SSD that committed criminal offences.
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Affiliation(s)
- Gabriele Nibbio
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | | | - Stefano Barlati
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy.
| | - Valentina Stanga
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Lorenzo Bertoni
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Nicola Necchini
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Daniela Zardini
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Jacopo Lisoni
- Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Giacomo Deste
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
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吴 祥, 杨 先, 范 箬, 刘 军, 向 虎, 左 传, 刘 祥, 刘 元. [Dynamic Prediction of Recidivism in Violence in Community-Based Schizophrenia Spectrum Disorder Patients: A Joint Model]. SICHUAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF SICHUAN UNIVERSITY. MEDICAL SCIENCE EDITION 2024; 55:918-924. [PMID: 39170018 PMCID: PMC11334282 DOI: 10.12182/20240760504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Indexed: 08/23/2024]
Abstract
Objective To construct a model for predicting recidivism in violence in community-based schizophrenia spectrum disorder patients (SSDP) by adopting a joint modeling method. Methods Based on the basic data on severe mental illness in Southwest China between January 2017 and June 2018, 4565 community-based SSDP with baseline violent behaviors were selected as the research subjects. We used a growth mixture model (GMM) to identify patterns of medication adherence and social functioning. We then fitted the joint model using a zero-inflated negative binomial regression model and compared it with traditional static models. Finally, we used a 10-fold training-test cross validation framework to evaluate the models' fitting and predictive performance. Results A total of 157 patients (3.44%) experienced recidivism in violence. Medication compliance and social functioning were fitted into four patterns. In the counting model, age, marital status, educational attainment, economic status, historical types of violence, and medication compliance patterns were predictive factors for the frequency of recidivism of violence (P<0.05). In the zero-inflated model, age, adverse drug reactions, historical types of violence, medication compliance patterns, and social functioning patterns were predictive factors for the recidivism in violence (P<0.05). For the joint model, the average value of Akaike information criterion (AIC) for the train set was 776.5±9.4, the average value of root mean squared error (RMSE) for the testing set was 0.168±0.013, and the average value of mean absolute error (MAE) for the testing set was 0.131±0.018, which were all lower than those of the traditional static models. Conclusion Joint modeling is an effective statistical strategy for identifying and processing dynamic variables, exhibiting better predictive performance than that of the traditional static models. It can provide new ideas for promoting the construction of comprehensive intervention systems.
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Affiliation(s)
- 祥瑞 吴
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 先梅 杨
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 箬馨 范
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 军 刘
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 虎 向
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 传隆 左
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 祥 刘
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - 元元 刘
- 四川大学华西公共卫生学院/四川大学华西第四医院 流行病与卫生统计学系 (成都 610041)Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
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Vaskinn A, Rokicki J, Bell C, Tesli N, Bang N, Hjell G, Fischer-Vieler T, Haukvik UK, Friestad C. Violent Offending in Males With or Without Schizophrenia: A Role for Social Cognition? Schizophr Bull 2024; 50:663-672. [PMID: 37861424 PMCID: PMC11059786 DOI: 10.1093/schbul/sbad151] [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] [Indexed: 10/21/2023]
Abstract
BACKGROUND AND HYPOTHESIS Reduced social cognition has been reported in individuals who have committed interpersonal violence. It is unclear if individuals with schizophrenia and a history of violence have larger impairments than violent individuals without psychosis and non-violent individuals with schizophrenia. We examined social cognition in two groups with violent offenses, comparing their performance to non-violent individuals with schizophrenia and healthy controls. STUDY DESIGN Two social cognitive domains were assessed in four groups: men with a schizophrenia spectrum disorder with (SSD-V, n = 27) or without (SSD-NV, n = 42) a history of violence, incarcerated men serving preventive detention sentences (V, n = 22), and healthy male controls (HC, n = 76). Theory of mind (ToM) was measured with the Movie for the Assessment of Social Cognition (MASC), body emotion perception with Emotion in Biological Motion (EmoBio) test. STUDY RESULTS Kruskal-Wallis H-tests revealed overall group differences for social cognition. SSD-V had a global and clinically significant social cognitive impairment. V had a specific impairment, for ToM. Binary logistic regressions predicting violence category membership from social cognition and psychosis (SSD status) were conducted. The model with best fit, explaining 18%-25% of the variance, had ToM as the only predictor. CONCLUSIONS Social cognitive impairment was present in individuals with a history of violence, with larger and more widespread impairment seen in schizophrenia. ToM predicted violence category membership, psychosis did not. The results suggest a role for social cognition in understanding interpersonal violence.
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Affiliation(s)
- Anja Vaskinn
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jaroslav Rokicki
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Psychosis Research Section, Oslo University Hospital, Oslo, Norway
| | - Christina Bell
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Acute Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Natalia Tesli
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Centre for Mental Disorders Research, Psychosis Research Section, Oslo University Hospital, Oslo, Norway
| | - Nina Bang
- Centre for Research and Education in Forensic Psychiatry, St. Olavs Hospital, Trondheim, Norway
- Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Gabriela Hjell
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatry, Østfold Hospital, Grålum, Norway
- Department of Clinical Research, Østfold Hospital, Grålum, Norway
| | - Thomas Fischer-Vieler
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Mental Health and Addiction, Vestre Viken Hospital Trust, Drammen, Norway
| | - Unn K Haukvik
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
- Department of Adult Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Christine Friestad
- Centre for Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
- University College of Norwegian Correctional Services, Lillestrøm, Norway
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Lamsma J, Raine A, Kia SM, Cahn W, Arold D, Banaj N, Barone A, Brosch K, Brouwer R, Brunetti A, Calhoun VD, Chew QH, Choi S, Chung YC, Ciccarelli M, Cobia D, Cocozza S, Dannlowski U, Dazzan P, de Bartolomeis A, Di Forti M, Dumais A, Edmond JT, Ehrlich S, Evermann U, Flinkenflügel K, Georgiadis F, Glahn DC, Goltermann J, Green MJ, Grotegerd D, Guerrero-Pedraza A, Ha M, Hong EL, Hulshoff Pol H, Iasevoli F, Kaiser S, Kaleda V, Karuk A, Kim M, Kircher T, Kirschner M, Kochunov P, Kwon JS, Lebedeva I, Lencer R, Marques TR, Meinert S, Murray R, Nenadić I, Nguyen D, Pearlson G, Piras F, Pomarol-Clotet E, Pontillo G, Potvin S, Preda A, Quidé Y, Rodrigue A, Rootes-Murdy K, Salvador R, Skoch A, Sim K, Spalletta G, Spaniel F, Stein F, Thomas-Odenthal F, Tikàsz A, Tomecek D, Tomyshev A, Tranfa M, Tsogt U, Turner JA, van Erp TGM, van Haren NEM, van Os J, Vecchio D, Wang L, Wroblewski A, Nickl-Jockschat T. Structural brain abnormalities and aggressive behaviour in schizophrenia: Mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortium. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.04.24302268. [PMID: 38370846 PMCID: PMC10871467 DOI: 10.1101/2024.02.04.24302268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Background Schizophrenia is associated with an increased risk of aggressive behaviour, which may partly be explained by illness-related changes in brain structure. However, previous studies have been limited by group-level analyses, small and selective samples of inpatients and long time lags between exposure and outcome. Methods This cross-sectional study pooled data from 20 sites participating in the international ENIGMA-Schizophrenia Working Group. Sites acquired T1-weighted and diffusion-weighted magnetic resonance imaging scans in a total of 2095 patients with schizophrenia and 2861 healthy controls. Measures of grey matter volume and white matter microstructural integrity were extracted from the scans using harmonised protocols. For each measure, normative modelling was used to calculate how much patients deviated (in z-scores) from healthy controls at the individual level. Ordinal regression models were used to estimate the associations of these deviations with concurrent aggressive behaviour (as odds ratios [ORs] with 99% confidence intervals [CIs]). Mediation analyses were performed for positive symptoms (i.e., delusions, hallucinations and disorganised thinking), impulse control and illness insight. Aggression and potential mediators were assessed with the Positive and Negative Syndrome Scale, Scale for the Assessment of Positive Symptoms or Brief Psychiatric Rating Scale. Results Aggressive behaviour was significantly associated with reductions in total cortical volume (OR [99% CI] = 0.88 [0.78, 0.98], p = .003) and global white matter integrity (OR [99% CI] = 0.72 [0.59, 0.88], p = 3.50 × 10-5) and additional reductions in dorsolateral prefrontal cortex volume (OR [99% CI] = 0.85 [0.74, 0.97], p =.002), inferior parietal lobule volume (OR [99% CI] = 0.76 [0.66, 0.87], p = 2.20 × 10-7) and internal capsule integrity (OR [99% CI] = 0.76 [0.63, 0.92], p = 2.90 × 10-4). Except for inferior parietal lobule volume, these associations were largely mediated by increased severity of positive symptoms and reduced impulse control. Conclusions This study provides evidence that the co-occurrence of positive symptoms, poor impulse control and aggressive behaviour in schizophrenia has a neurobiological basis, which may inform the development of therapeutic interventions.
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Affiliation(s)
- Jelle Lamsma
- Department of Criminology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Adrian Raine
- Department of Criminology, University of Pennsylvania, Philadelphia, USA
- Department of Psychology, University of Pennsylvania, Philadelphia, USA
- Department of Psychiatry, University of Pennsylvania, Philadelphia, USA
| | - Seyed M. Kia
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Dominic Arold
- Division of Psychological and Social Medicine and Developmental Neurosciences, TU Dresden, Germany
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Annarita Barone
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, USA
| | - Rachel Brouwer
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Complex Trait Genetics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, USA
| | - Qian H. Chew
- Department of Research, Institute of Mental Health, Singapore
| | - Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Young-Chul Chung
- Department of Psychiatry, Jeonbuk National University, Jeonju, South Korea
- Department of Psychiatry, Jeonbuk National University Hospital, Jeonju, South Korea
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea
| | - Mariateresa Ciccarelli
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Derin Cobia
- Department of Psychology and Neuroscience Center, Brigham Young University, Provo, USA
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Paola Dazzan
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Andrea de Bartolomeis
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Marta Di Forti
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Alexandre Dumais
- Department of Psychiatry and Addictology, University of Montreal, Montreal, Canada
- Institut Philippe-Pinel, Montreal, Canada
| | - Jesse T. Edmond
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, USA
- Department of Psychology, Georgia State University, Atlanta, USA
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, TU Dresden, Germany
- Department of Child and Adolescent Psychiatry and Psychotherapy, TU Dresden, Germany
| | - Ulrika Evermann
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Foivos Georgiadis
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zürich, Switzerland
| | - David C. Glahn
- Department of Psychiatry, Harvard Medical School, Harvard, USA
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, USA
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Melissa J. Green
- Neuroscience Research Australia, Randwick, Australia
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | | | - Minji Ha
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - Elliot L. Hong
- Department of Psychiatry and Behavioral Science, UTHealth Houston, Houston, USA
| | - Hilleke Hulshoff Pol
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Felice Iasevoli
- Department of Neurosciences, Reproductive Sciences and Dentistry, University of Naples Federico II, Naples, Italy
| | - Stefan Kaiser
- Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
| | - Vasily Kaleda
- Department of Youth Psychiatry, Mental Health Research Center, Moscow, Russia
| | - Andriana Karuk
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Matthias Kirschner
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Zürich, Switzerland
- Department of Psychiatry, University Hospitals of Geneva, Geneva, Switzerland
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada
| | - Peter Kochunov
- Department of Psychiatry and Behavioral Science, UTHealth Houston, Houston, USA
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Irina Lebedeva
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, Moscow, Russia
| | - Rebekka Lencer
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry and Psychotherapy, University of Lübeck, Germany
| | - Tiago R. Marques
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- MRC London Institute of Medical Sciences, Imperial College London, London, UK
- Institute of Clinical Sciences, Imperial College London, London, UK
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Dana Nguyen
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, USA
| | - Godfrey Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford, USA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Barcelona, Spain
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
- Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy
| | - Stéphane Potvin
- Department of Psychiatry and Addictology, University of Montreal, Montreal, Canada
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
| | - Adrian Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, USA
| | - Yann Quidé
- Neuroscience Research Australia, Randwick, Australia
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Amanda Rodrigue
- Department of Psychiatry, Harvard Medical School, Harvard, USA
| | - Kelly Rootes-Murdy
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, USA
- Department of Psychology, Georgia State University, Atlanta, USA
| | - Raymond Salvador
- FIDMAG Germanes Hospitalaries Research Foundation, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Barcelona, Spain
| | - Antonin Skoch
- National Institute of Mental Health, Klecany, Czech Republic
| | - Kang Sim
- Department of Research, Institute of Mental Health, Singapore
| | | | - Filip Spaniel
- National Institute of Mental Health, Klecany, Czech Republic
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | | | - Andràs Tikàsz
- Department of Psychiatry and Addictology, University of Montreal, Montreal, Canada
- Centre de Recherche de l’Institut Universitaire en Santé Mentale de Montréal, Montreal, Canada
| | - David Tomecek
- National Institute of Mental Health, Klecany, Czech Republic
- Institute of Computer Science, Czech Academy of Sciences, Prague, Czech Republic
- Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Alexander Tomyshev
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, Moscow, Russia
| | - Mario Tranfa
- Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy
| | - Uyanga Tsogt
- Department of Psychiatry, Jeonbuk National University, Jeonju, South Korea
| | - Jessica A. Turner
- Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, USA
| | - Theo G. M. van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, USA
| | - Neeltje E. M. van Haren
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC Sophia, Rotterdam, the Netherlands
| | - Jim van Os
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, Santa Lucia Foundation IRCCS, Rome, Italy
| | - Lei Wang
- Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, USA
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, USA
| | - Adrian Wroblewski
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, University of Iowa, Iowa City, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, USA
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7
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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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8
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Khan A, Lindenmayer JP, Insel B, Seddo M, Demirli E, DeFazio K, Sullivan M, Hoptman MJ, Ahmed AO. Computerized cognitive and social cognition training in schizophrenia for impulsive aggression. Schizophr Res 2023; 256:117-125. [PMID: 36424289 PMCID: PMC11046975 DOI: 10.1016/j.schres.2022.11.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/22/2022] [Accepted: 11/05/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Schizophrenia is associated with an elevated risk for impulsive aggression for which there are few psychosocial treatment options. Neurocognitive and social cognitive deficits have been associated with aggression with social cognitive deficits seemingly a more proximal contributor. The current study examined the effects of combining cognitive and social cognition treatment on impulsive aggression among inpatients with chronic schizophrenia and schizoaffective disorder and a history of aggression compared to cognitive remediation treatment alone. METHODS The two-center study randomized 130 participants to receive 36 sessions of either a combination of cognitive remediation and social cognition treatment or cognitive remediation plus a computer-based control. Participants had at least one aggressive incident within the past year or a Life History of Aggression (LHA) score of 5 or more. Participants completed measures of neurocognition, social cognition, symptom severity, and aggression at baseline and endpoint. RESULTS Study participants were mostly male (84.5 %), had a mean age 34.9 years, and 11.5 years of education. Both Cognitive Remediation Training (CRT) plus Social Cognition Training (SCT) and CRT plus control groups were associated with significant reductions in aggression measures with no group differences except on a block of the Taylor Aggression Paradigm (TAP), a behavioral task of aggression which favored the CRT plus SCT group. Both groups showed significant improvements in neurocognition and social cognition measures with CRT plus SCT being associated with greater improvements. CONCLUSION CRT proved to be an effective non-pharmacological treatment in reducing impulsive aggression in schizophrenia inpatient participants with a history of aggressive episodes. The addition of social cognitive training did not enhance this anti-aggression treatment effect but did augment the CRT effect on cognitive functions, on emotion recognition and on mentalizing capacity of our participants.
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Affiliation(s)
- Anzalee Khan
- Nathan S. Kline Institute for Psychiatric Research, 140 Orangeburg Road, Orangeburg, NY 10962, USA; Manhattan Psychiatric Center, 1 Wards Island Complex, Wards Island, NY 10035, USA.
| | - Jean-Pierre Lindenmayer
- Nathan S. Kline Institute for Psychiatric Research, 140 Orangeburg Road, Orangeburg, NY 10962, USA; Manhattan Psychiatric Center, 1 Wards Island Complex, Wards Island, NY 10035, USA; New York University School of Medicine, 550 1st Ave., New York, NY 10016, USA
| | - Beverly Insel
- Mount Sinai Medical Center, 5 East 98th Street, New York, NY 10029, USA
| | - Mary Seddo
- Long Island University, 1 University Plaza, Brooklyn, NY 11201, USA
| | - Ecem Demirli
- Weill Cornell Medical Center, 21 Bloomingdale Road, White Plains, NY 10605, USA
| | - Kayla DeFazio
- Weill Cornell Medical Center, 21 Bloomingdale Road, White Plains, NY 10605, USA
| | - Mark Sullivan
- Weill Cornell Medical Center, 21 Bloomingdale Road, White Plains, NY 10605, USA
| | - Matthew J Hoptman
- Nathan S. Kline Institute for Psychiatric Research, 140 Orangeburg Road, Orangeburg, NY 10962, USA; New York University School of Medicine, 550 1st Ave., New York, NY 10016, USA
| | - Anthony O Ahmed
- Weill Cornell Medical Center, 21 Bloomingdale Road, White Plains, NY 10605, USA
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Tomé-Fernández M, Berbegal-Bernabeu M, Sánchez-Sansegundo M, Zaragoza-Martí A, Rubio-Aparicio M, Portilla-Tamarit I, Rumbo-Rodríguez L, Hurtado-Sánchez JA. Neurocognitive Suicide and Homicide Markers in Patients with Schizophrenia Spectrum Disorders: A Systematic Review. Behav Sci (Basel) 2023; 13:446. [PMID: 37366698 DOI: 10.3390/bs13060446] [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: 03/14/2023] [Revised: 05/19/2023] [Accepted: 05/21/2023] [Indexed: 06/28/2023] Open
Abstract
Suicide and homicide are considered important problems in public health. This study aims to identify the cognitive performance of suicidal and homicidal behaviors in people with schizophrenia spectrum disorders, as well as examining whether there are shared neuropsychological mechanisms. A systematic review of the recent literature was carried out from September 2012 to June 2022 using the Medline (via PubMed), Scopus, Embase, and Cochrane databases. Among the 870 studies initially identified, 23 were finally selected (15 related to suicidal behaviors and 8 to homicidal behaviors). The results evidenced a relationship between impairment of cognitive performance and homicidal behavior; meanwhile, for suicidal behaviors, no consistent results were found. High neuropsychological performance seems to act as a protective factor against violent behavior in people with schizophrenia spectrum disorders, but not against suicidal behavior; indeed, it can even act as a risk factor for suicidal behavior. To date, there is insufficient evidence that shared neurocognitive mechanisms exist. However, processing speed and visual memory seem to be affected in the presence of both behaviors.
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Affiliation(s)
- Mario Tomé-Fernández
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Marina Berbegal-Bernabeu
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Miriam Sánchez-Sansegundo
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Ana Zaragoza-Martí
- Department of Nursing, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - María Rubio-Aparicio
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Irene Portilla-Tamarit
- Department of Health Psychology, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
| | - Lorena Rumbo-Rodríguez
- Department of Nursing, Faculty of Health Science, University of Alicante, 03690 Alicante, Spain
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10
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Adamu MJ, Qiang L, Nyatega CO, Younis A, Kawuwa HB, Jabire AH, Saminu S. Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies. Front Psychiatry 2023; 14:1188603. [PMID: 37275974 PMCID: PMC10236951 DOI: 10.3389/fpsyt.2023.1188603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 04/20/2023] [Indexed: 06/07/2023] Open
Abstract
Background Schizophrenia affects about 1% of the global population. In addition to the complex etiology, linking this illness to genetic, environmental, and neurobiological factors, the dynamic experiences associated with this disease, such as experiences of delusions, hallucinations, disorganized thinking, and abnormal behaviors, limit neurological consensuses regarding mechanisms underlying this disease. Methods In this study, we recruited 72 patients with schizophrenia and 74 healthy individuals matched by age and sex to investigate the structural brain changes that may serve as prognostic biomarkers, indicating evidence of neural dysfunction underlying schizophrenia and subsequent cognitive and behavioral deficits. We used voxel-based morphometry (VBM) to determine these changes in the three tissue structures: the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). For both image processing and statistical analysis, we used statistical parametric mapping (SPM). Results Our results show that patients with schizophrenia exhibited a significant volume reduction in both GM and WM. In particular, GM volume reductions were more evident in the frontal, temporal, limbic, and parietal lobe, similarly the WM volume reductions were predominantly in the frontal, temporal, and limbic lobe. In addition, patients with schizophrenia demonstrated a significant increase in the CSF volume in the left third and lateral ventricle regions. Conclusion This VBM study supports existing research showing that schizophrenia is associated with alterations in brain structure, including gray and white matter, and cerebrospinal fluid volume. These findings provide insights into the neurobiology of schizophrenia and may inform the development of more effective diagnostic and therapeutic approaches.
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Affiliation(s)
- Mohammed Jajere Adamu
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
- Department of Computer Science, Yobe State University, Damaturu, Nigeria
| | - Li Qiang
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
| | - Charles Okanda Nyatega
- Department of Information and Communication Engineering, School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Department of Electronics and Telecommunication Engineering, Mbeya University of Science and Technology, Mbeya, Tanzania
| | - Ayesha Younis
- Department of Electronic Science and Technology, School of Microelectronics, Tianjin University, Tianjin, China
| | - Halima Bello Kawuwa
- Department of Biomedical Engineering and Scientific Instruments, School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Adamu Halilu Jabire
- Department of Electrical and Electronics Engineering, Taraba State University, Jalingo, Nigeria
| | - Sani Saminu
- Department of Biomedical Engineering, University of Ilorin, Ilorin, Nigeria
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11
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Zhuo C, Liu W, Jiang R, Li R, Yu H, Chen G, Shan J, Zhu J, Cai Z, Lin C, Cheng L, Xu Y, Liu S, Luo Q, Jin S, Liu C, Chen J, Wang L, Yang L, Zhang Q, Li Q, Tian H, Song X. Metabolic risk factors of cognitive impairment in young women with major psychiatric disorder. Front Psychiatry 2022; 13:880031. [PMID: 35966480 PMCID: PMC9373724 DOI: 10.3389/fpsyt.2022.880031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/29/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive performance improves clinical outcomes of patients with major psychiatric disorder (MPD), but is impaired by hyperglycemia. Psychotropic agents often induce metabolism syndrome (MetS). The identification of modifiable metabolic risk factors of cognitive impairment may enable targeted improvements of patient care. OBJECTIVE To investigate the relationship between MetS and cognitive impairment in young women with MPD, and to explore risk factors. METHODS We retrospectively studied women of 18-34 years of age receiving psychotropic medications for first-onset schizophrenia (SCH), bipolar disorder (BP), or major depressive disorder (MDD). Data were obtained at four time points: presentation but before psychotropic medication; 4-8 and 8-12 weeks of psychotropic therapy; and enrollment. MATRICS Consensus Cognitive Battery, (MCCB)-based Global Deficit Scores were used to assess cognitive impairment. Multiple logistic analysis was used to calculate risk factors. Multivariate models were used to investigate factors associated with cognitive impairment. RESULTS We evaluated 2,864 participants. Cognitive impairment was observed in 61.94% of study participants, and was most prevalent among patients with BP (69.38%). HbA1c within the 8-12 week-treatment interval was the most significant risk factor and highest in BP. Factors in SCH included pre-treatment waist circumference and elevated triglycerides during the 8-12 weeks treatment interval. Cumulative dosages of antipsychotics, antidepressants, and valproate were associated with cognitive impairment in all MPD subgroups, although lithium demonstrated a protect effect (all P < 0.001). CONCLUSIONS Cognitive impairment was associated with elevated HbA1c and cumulative medication dosages. Pre-treatment waist circumference and triglyceride level at 8-12 weeks were risk factors in SCH. Monitoring these indices may inform treatment revisions to improve clinical outcomes.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China.,Department of Psychiatry, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China.,Multiple Organs Damage in the Mental Disorder (MODMD) Center of Wenzhou Seventh Hospital, Wenzhou, China.,Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Wei Liu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ronghuan Jiang
- Department of Psychiatry, General Hospital of PLA, Beijing, China
| | - Ranli Li
- Key Laboratory of Psychiatric-Neuroimaging-Genetic and Cor-morbidity, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China
| | - Haiping Yu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Guangdong Chen
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jianmin Shan
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ziyao Cai
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chongguang Lin
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Inpatient Department of Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shili Jin
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Chuanxin Liu
- Inpatient Department, Shandong Daizhuang Hospital, Jining, China
| | - Jiayue Chen
- Department of Psychiatry, Tianjin Fourth Center Hospital, Tianjin, China
| | - Lina Wang
- Department of Psychiatry, Tianjin Anding Hospital, Tianjin, China
| | - Lei Yang
- Department of Psychiatry, Yanan Fifth Hospital, Yan'An, China
| | - Qiuyu Zhang
- Department of Psychiatry, Tianjin Anning Hospital, Tianjin, China
| | - Qianchen Li
- Department of Psychiatry, Hebei Fifth Peoples Hospital, Shijiazhuang, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damage in Patients With Mental Disorder, Tianjin Fourth Center Hospital of Tianjin Medical University, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin, China
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Psychiatric Transformational Research Key Laboratory, Zhengzhou University, Zhengzhou, China
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12
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Leshem R, Icht M, Ben-David BM. Processing of Spoken Emotions in Schizophrenia: Forensic and Non-forensic Patients Differ in Emotional Identification and Integration but Not in Selective Attention. Front Psychiatry 2022; 13:847455. [PMID: 35386523 PMCID: PMC8977511 DOI: 10.3389/fpsyt.2022.847455] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 02/22/2022] [Indexed: 11/13/2022] Open
Abstract
Patients with schizophrenia (PwS) typically demonstrate deficits in visual processing of emotions. Less is known about auditory processing of spoken-emotions, as conveyed by the prosodic (tone) and semantics (words) channels. In a previous study, forensic PwS (who committed violent offenses) identified spoken-emotions and integrated the emotional information from both channels similarly to controls. However, their performance indicated larger failures of selective-attention, and lower discrimination between spoken-emotions, than controls. Given that forensic schizophrenia represents a special subgroup, the current study compared forensic and non-forensic PwS. Forty-five PwS listened to sentences conveying four basic emotions presented in semantic or prosodic channels, in different combinations. They were asked to rate how much they agreed that the sentences conveyed a predefined emotion, focusing on one channel or on the sentence as a whole. Their performance was compared to that of 21 forensic PwS (previous study). The two groups did not differ in selective-attention. However, better emotional identification and discrimination, as well as better channel integration were found for the forensic PwS. Results have several clinical implications: difficulties in spoken-emotions processing might not necessarily relate to schizophrenia; attentional deficits might not be a risk factor for aggression in schizophrenia; and forensic schizophrenia might have unique characteristics as related to spoken-emotions processing (motivation, stimulation).
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Affiliation(s)
- Rotem Leshem
- Department of Criminology, Bar-Ilan University, Ramat Gan, Israel
| | - Michal Icht
- Department of Communication Disorders, Ariel University, Ariel, Israel
| | - Boaz M Ben-David
- Baruch Ivcher School of Psychology, Reichman University (IDC), Herzliya, Israel.,Department of Speech-Language Pathology, University of Toronto, Toronto, ON, Canada.,Toronto Rehabilitation Institute, University Health Networks, Toronto, ON, Canada
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