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      Processing of Spoken Emotions in Schizophrenia: Forensic and Non-forensic Patients Differ in Emotional Identification and Integration but Not in Selective Attention

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          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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          Most cited references77

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          Dysfunction in the neural circuitry of emotion regulation--a possible prelude to violence.

          Emotion is normally regulated in the human brain by a complex circuit consisting of the orbital frontal cortex, amygdala, anterior cingulate cortex, and several other interconnected regions. There are both genetic and environmental contributions to the structure and function of this circuitry. We posit that impulsive aggression and violence arise as a consequence of faulty emotion regulation. Indeed, the prefrontal cortex receives a major serotonergic projection, which is dysfunctional in individuals who show impulsive violence. Individuals vulnerable to faulty regulation of negative emotion are at risk for violence and aggression. Research on the neural circuitry of emotion regulation suggests new avenues of intervention for such at-risk populations.
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            Emotion, plasticity, context, and regulation: Perspectives from affective neuroscience.

            The authors present an overview of the neural bases of emotion. They underscore the role of the prefrontal cortex (PFC) and amygdala in 2 broad approach- and withdrawal-related emotion systems. Components and measures of affective style are identified. Emphasis is given to affective chronometry and a role for the PFC in this process is proposed. Plasticity in the central circuitry of emotion is considered, and implications of data showing experience-induced changes in the hippocampus for understanding psychopathology and stress-related symptoms are discussed. Two key forms of affective plasticity are described--context and regulation. A role for the hippocampus in context-dependent normal and dysfunctional emotional responding is proposed. Finally, implications of these data for understanding the impact on neural circuitry of interventions to promote positive affect and on mechanisms that govern health and disease are considered.
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              A comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points.

              Longitudinal methods are the methods of choice for researchers who view their phenomena of interest as dynamic. Although statistical methods have remained largely fixed in a linear view of biology and behavior, more recent methods, such as the general linear mixed model (mixed model), can be used to analyze dynamic phenomena that are often of interest to nurses. Two strengths of the mixed model are (1) the ability to accommodate missing data points often encountered in longitudinal datasets and (2) the ability to model nonlinear, individual characteristics. The purpose of this article is to demonstrate the advantages of using the mixed model for analyzing nonlinear, longitudinal datasets with multiple missing data points by comparing the mixed model to the widely used repeated measures ANOVA using an experimental set of data. The decision-making steps in analyzing the data using both the mixed model and the repeated measures ANOVA are described. Copyright 2004 Sage Publications
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                21 March 2022
                2022
                : 13
                : 847455
                Affiliations
                [1] 1Department of Criminology, Bar-Ilan University , Ramat Gan, Israel
                [2] 2Department of Communication Disorders, Ariel University , Ariel, Israel
                [3] 3Baruch Ivcher School of Psychology, Reichman University (IDC) , Herzliya, Israel
                [4] 4Department of Speech-Language Pathology, University of Toronto , Toronto, ON, Canada
                [5] 5Toronto Rehabilitation Institute, University Health Networks , Toronto, ON, Canada
                Author notes

                Edited by: Heng Choon Chan, City University of Hong Kong, Hong Kong SAR, China

                Reviewed by: Timothy Y. Mariano, Brown University, United States; Marije E. Keulen-de Vos, Forensic Psychiatric Center de Rooyse Wissel, Netherlands; Kirsten Jordan, University of Göttingen, Germany

                *Correspondence: Boaz M. Ben-David boaz.ben.david@ 123456idc.ac.il

                This article was submitted to Forensic Psychiatry, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2022.847455
                8977511
                8e3338a7-961d-4b92-bcbc-b8c9db6148a6
                Copyright © 2022 Leshem, Icht and Ben-David.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 02 January 2022
                : 22 February 2022
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 78, Pages: 12, Words: 8758
                Funding
                Funded by: Israel Science Foundation, doi 10.13039/501100003977;
                Categories
                Psychiatry
                Brief Research Report

                Clinical Psychology & Psychiatry
                schizophrenia,emotions,processing of emotions,speech processing,cognition,selective attention,forensic psychiatry

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