Improving emotion recognition in schizophrenia with "VOICES": An on-line prosodic self-training

Social cognition and emotional rehabilitation in participants with schizofrenia

Introduction

People with schizophrenia have deficits in social cognition, emotion and social perception, as well as attributional style. The purpose of this study was to evaluate the efficacy of a multicomponent social cognition training program, e-Motional Training® (ET), in people with schizophrenia and to compare its efficacy with people who did not receive it. Therefore, a single-blind RCT was conducted in participants with a diagnosis of schizophrenia.

Methods

A randomized, single-blind, clinical trial was conducted with 50 stable outparticipants with schizophrenia (registry number CHUC_2019_109). All participants (control and intervention) were treated with pharmacotherapy, case management and were on Individual Placement and Support methodology for competitive employment. The intervention group was treated with ET, an online program designed for social cognition rehabilitation. Pre and post assessment was performed using different battery of tests. General mixed models with subject identification and repeated measures over time were used.

Results

Different pre and post measurements were performed in the two groups. No significant differences were found in sociodemographic characteristics between the control and intervention groups. Improvements were obtained in the intervention group in the Ekman test (p = 0.009), mainly enhanced by the improvement shown in three emotions: fear, sadness and disgust (p = 0.041, p = 0.021 and p = 0.038 respectively).

Conclusion

ET is a promising online training tool for social cognition deficits in schizophrenia, in particular, for the improvement of emotions.Clinical Trial Registration: https://beta.clinicaltrials.gov, NCT05866328.

Efficacy of technology-based interventions in psychosis: a systematic review and network meta-analysis

BACKGROUND

Technology-based interventions (TBIs) are a useful approach when attempting to provide therapy to more patients with psychosis.

METHODS

Randomized controlled trials of outcomes of TBIs v. face-to-face interventions in psychosis were identified in a systematic search conducted in PubMed/Ovid MEDLINE. Data were extracted independently by two researchers, and standardized mean changes were pooled using a three-level model and network meta-analysis.

RESULTS

Fifty-eight studies were included. TBIs complementing treatment as usual (TAU) were generally superior to face-to-face interventions (g = 0.16, p ≤ 0.0001) and to specific outcomes, namely, neurocognition (g = 0.13, p ≤ 0.0001), functioning (g = 0.25, p = 0.006), and social cognition (g = 0.32, p ≤ 0.05). Based on the network meta-analysis, the effect of two TBIs differed significantly from zero; these were the TBIs cognitive training for the neurocognitive outcome [g = 0.16; 95% confidence interval (CI) 0.09-0.23] and cognitive behavioral therapy for quality of life (g = 1.27; 95% CI 0.46-2.08). The variables educational level, type of medication, frequency of the intervention, and contact during the intervention moderated the effectiveness of TBIs over face-to-face interventions in neurocognition and symptomatology.

CONCLUSIONS

TBIs are effective for the management of neurocognition, symptomatology, functioning, social cognition, and quality of life outcomes in patients with psychosis. The results of the network meta-analysis showed the efficacy of some TBIs for neurocognition, symptomatology, and quality of life. Therefore, TBIs should be considered a complement to TAU in patients with psychosis.

Use of Technologies in the Therapy of Social Cognition Deficits in Neurological and Mental Diseases: A Systematic Review

Objective: This article systematically reviews the effects of technology-based (TB) treatments on impaired social cognition (SC) in neurological and mental disorders. Methods: Strictly adhering to the PRISMA guidelines, a systematic search was carried out in PsycINFO, PubMed, and Web of Science (last search: April 22, 2021) to identify studies that, implementing a control group design, evaluated TB treatments targeting deficits in emotion recognition, Theory of Mind (ToM) and social behavior in adult patients with nondevelopmental and nonprogressive neurological or mental disorders. Risk of bias was assessed using the PEDro Scale, certainty assessment followed the GRADE approach. Results: Sixteen studies involving 857 patients, all focusing on psychotic disorders, were retrieved. The most pronounced effects were observed concerning emotion recognition with all studies revealing overall improvements. Regarding ToM and social behavior, results were mixed. However, the number of studies including outcome measures for these domains, is significantly lower compared to the domain of emotion recognition, limiting the validity of the results. Risk of bias and certainty assessment revealed further limitations of evidence. Conclusion: TB treatment achieves positive effects especially with regard to emotion recognition impairments, at least for patients with schizophrenia. Future research should expand the evaluation of TB training of other SC domains, ought to be carried out in more diverse patient populations, rely on different devices, and include follow-up measurements.

Factors Impacting Access and Engagement of Cognitive Remediation Therapy for People with Schizophrenia: A Systematic Review

OBJECTIVES

Neurocognitive deficits are central in schizophrenia. Cognitive remediation has proven effective in alleviating these deficits, with medium effect sizes. However, sizeable attrition rates are reported, with the reasons still uncertain. Furthermore, cognitive remediation is not part of routine mental health care. We conducted a systematic review to investigate factors that influence access and engagement of cognitive remediation in schizophrenia.

METHODS

We systematically searched the PubMed, Web of Science, and PsycINFO databases for peer-reviewed articles including a cognitive remediation arm, access, and engagement data, and participants with schizophrenia spectrum disorders aged 17-65 years old. Duplicates and studies without a distinct cognitive remediation component, protocol papers, single case studies, case series, and reviews/meta-analyses were excluded.

RESULTS

We included 67 studies that reported data on access and engagement, and extracted quantitative and qualitative data. Access data were limited, with most interventions delivered on-site, to outpatients, and in middle- to high-income countries. We found a median dropout rate of 14.29%. Only a small number of studies explored differences between dropouts and completers (n = 5), and engagement factors (n = 13). Dropouts had higher negative symptomatology and baseline self-efficacy, and lower baseline neurocognitive functioning and intrinsic motivation compared to completers. The engagement was positively associated with intrinsic motivation, self-efficacy, perceived usefulness, educational level, premorbid intelligence quotient, baseline neurocognitive functioning, some neurocognitive outcomes, and therapeutic alliance; and negatively associated with subjective cognitive complaints. Qualitative results showed good acceptability of cognitive remediation, with some areas for improvement.

CONCLUSIONS

Overall, access and engagement results are scarce and heterogeneous. Further investigations of cognitive remediation for inpatients, as well as remote delivery, are needed. Future clinical trials should systematically explore attrition and related factors. Determining influential factors of access and engagement will help improve the implementation and efficacy of cognitive remediation, and thus the recovery of people with schizophrenia.

Randomized Controlled Trials of Digital Mental Health Interventions on Patients with Schizophrenia Spectrum Disorder: A Systematic Review

Background: This systematic review aimed to examine the study protocol of Digital Mental Health Interventions (DMHIs) and to review the effect of DMHIs among patients with Schizophrenia Spectrum Disorder (SSD). Methods: This review followed the guideline of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). A systematic literature search was performed using PubMed, CINAHL, Embase, and PsycINFO electronic databases to identify randomized clinical trials without any limit on the publication year. Overall, 18 studies were selected and evaluated for the quality assessment utilizing the Risk of Bias 2 tool of Cochranes' Collaboration. In the quality assessment, four studies evaluated as overall high risk of bias were excluded from the selection, and the final 14 studies were chosen. Results: No DMHIs were provided for acute schizophrenia-related symptoms, and there were some studies related to schizophrenia-related symptoms (26.4%). Some studies for improving cognitive function (42.9%) were reported, and there was a significant effect when interventions that were proven to be effective when implemented in a face-to-face manner were delivered using various online devices and sensory stimuli. Nearly half of the studies reported intervention frequency and time (57.1%), and those with unclear reports relied either on a mobile app or telemedicine and were designed to self-pace the frequency and speed of the intervention. Conclusion: Based on our findings, it will be possible to understand the characteristics of DMHIs, without physical contact, for only SSD patients, providing a basis for digital mental health services.

Video Games as a Complementary Therapy for Schizophrenia: A Systematic Review

BACKGROUND

Schizophrenia is a prevalent and serious disorder. Video games have shown potential as an aid in health care for people who suffer from schizophrenia. Although video games may contribute benefit in the treatment of schizophrenia, reviews on this topic are scarce. In this article, we systematically review the evidence concerning video game-based therapeutic interventions for people diagnosed with schizophrenia.

METHODS

This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The review protocol was registered in the PROSPERO database. We searched 4 databases-PubMed, Web of Science, EMBASE, and clinicaltrials.gov-to identify original studies exploring video game-based therapeutic interventions for people with schizophrenia.

RESULTS

After initial screening, full-text review, and study selection, 11 articles were included in the review. Most studies used video consoles as the platform, with a minority using a personal computer. Video game-based therapeutic interventions were well accepted and generally effective in improving cognitive areas.

CONCLUSIONS

Cognitive training could be one of the main mechanisms underlying the usefulness and effectiveness of video game-based therapeutic interventions. Software optimization and greater collaboration between developers and health care professionals are some of the priorities for future research in this area.

Therapeutic use of serious games in mental health: scoping review

BACKGROUND

There has been an increase in the development and application of serious games to support management of mental ill health, but their full impact is unclear.

AIMS

Evaluation of the current evidence of acceptability and effectiveness of serious games in improving mental health disorders.

METHOD

A PRISMA-guided scoping review was conducted, using a predefined criteria and a relevant word combination on three databases: EMBASE, Medline and PsycINFO. Each included study was examined for game format, study type, number of participants, basic demographics, disorder targeted, recruitment, setting, control conditions, duration and follow-up, study attrition, primary outcomes and their results. Each study was given a Grading of Recommendations, Assessment, Development and Evaluations rating for quality.

RESULTS

Fourteen out of 513 studies met the inclusion criteria. The serious games focused on symptoms of anxiety (n = 4), attention-deficit hyperactivity disorder (n = 3), depression (n = 2), schizophrenia (n = 2), alcohol use disorder (n = 2) and bipolar disorder (n = 1). There were multiple significant outcomes favouring serious games across conditions covered in the review. Study quality varied, with studies rated high (n = 3), moderate (n = 6), low (n = 3) and very low (n = 2).

CONCLUSIONS

The available evidence suggests that serious games could be an effective format for an intervention to reduce mental health symptoms and improve outcomes of individuals. Better designed studies would further develop confidence in this area. This is a potential vehicle of change to deliver some of the much-needed psychiatric support to both economically developed and developing regions in a resource-utilitarian manner. Partnerships between the gaming industry, researchers and health services may benefit patients.

Voices 2: Improving Prosodic Recognition in Schizophrenia With an Online Rehabilitation Program

Introduction: Emotion recognition of voices may play an important role in interpersonal communication and patients with schizophrenia present alterations in this regard. Several on-line rehabilitation tools have been developed for treatment in this area. Voices is an on-line prosodic recognition program consisting of identifying different emotional tones in neutral phrases, in different sessions of gradually increasing difficulty. This training tool has previously reported benefits, and a new version has been created called Voices 2. The main aim of this study is to test the capacity of the Voices 2 program to improve emotion recognition through prosody for adults with schizophrenia. Secondly, it seeks to observe durability effects 1 month after intervention.

Method: A randomized, single-blind, multicenter clinical trial was conducted with 44 outpatients diagnosed with schizophrenia or schizoaffective disorder. The intervention group (also called Voices) was treated with Voices 2, whereas the control group was treated with auditory training that was not related to emotions. Sociodemographic and clinical data, clinical state (PANSS), Intelligence Quotient and prosodic recognition (RMV-SV) were measured at baseline. After intervention, RMV-SV and PANSS were assessed. One month later, the RMV-SV measure was repeated.

Results: The control group (n = 19) and the Voices group (n = 22) did not differ on χ², t or U tests in sociodemographic, clinical and psychometric variables at baseline or post-intervention (all p-values > 0.05). In the Voices group, statistically significant differences were observed in the RMV-SV scale applied post-intervention vs. that applied pre-intervention (Z = 2.47, p = 0.013). Similar results were observed in the 1-month follow-up RMV-SV vs. the pre-intervention RMV-SV (Z = 1.97, p = 0.049). PANSS scale was also assessed with no significant differences between pre vs. post measures in both groups. Lastly, Voices 2 was rated relatively higher, based on its ease of understanding, entertainment value, usefulness and the appropriateness of use of its emotional glossary.

Discussion: Improvements were observed in prosodic recognition following intervention with Voices 2 in the Voices group. Although these results are similar to other clinical trial rehabilitation programs, specific research on the matter remains scarce. Certain aspects, such as the durability of effects or adherence should be thoroughly studied and clarified.

Clinical Trial Registration: [https://doi.org/10.17605/OSF.IO/G95C4].

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

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).

Feasibility of an Intervention Delivered via Mobile Phone and Internet to Improve the Continuity of Care in Schizophrenia: A Randomized Controlled Pilot Study

Schizophrenia is a severe mental illness associated with a heavy symptom burden and high relapse rates. Digital interventions are increasingly suggested as means to facilitate continuity of care, relapse prevention, and long-term disease management for schizophrenia spectrum disorders. In order to investigate the feasibility of a mobile and internet-based aftercare program, a 2-arm randomized controlled pilot study was conducted. The program could be used by patients for six months after inpatient treatment and included psychoeducation, an individual crisis plan, optional counseling via internet chat or phone and a supportive monitoring module. Due to the slow pace of enrollment, recruitment was stopped before the planned sample size was achieved. Reasons for the high exclusion rate during recruitment were analyzed as well as attitudes, satisfaction, and utilization of the program by study participants. The data of 25 randomized patients suggest overall positive attitudes towards the program, high user satisfaction and good adherence to the monitoring module. Overall, the results indicate that the digital program might be suitable to provide support following discharge from intensive care. In addition, the study provides insights into specific barriers to recruitment which may inform future research in the field of digital interventions for severe mental illness.

A meta-analysis of the effects of social-cognitive training in schizophrenia: The role of treatment characteristics and study quality

OBJECTIVES

This meta-analysis was designed to assess the effects of social-cognitive training (SCT) and whether study quality, treatment approach, treatment context, and sample characteristics influence these effects.

METHODS

Electronic databases were searched up to 5 August 2020 using variants of keywords: 'social cognition', 'training', 'rehabilitation', 'remediation', and 'schizophrenia'. Methodological moderators were extracted through the Clinical Trials Assessment Measure and verified by authors. This study was pre-registered on PROSPERO (CRD42020154026).

RESULTS

Forty-two controlled trials with 1,868 participants were identified. The meta-analysis revealed moderate effects on emotion recognition, mental state attribution, and social perception. No significant effects were evident on psychiatric symptoms or social functioning. A small signal was evident for the generalization of treatment gains to executive function. Moderator analyses revealed that studies of lower methodological quality reported larger effects, and samples with lower mean years of education were associated with larger effects of SCT on mental state attribution. Treatment effects did not differ by other moderator variables such as treatment context and intervention types.

CONCLUSIONS

SCT benefits people with schizophrenia on a variety of social-cognitive outcomes. Differences in baseline symptoms, gender distribution, antipsychotic medication dose, IQ, and other sample features did not create barriers to treatment benefits. Future studies should aim to enhance the generalization of training effects on broader clinical outcomes.

General description of cognitive deficits in schizophrenia and assessment tools in Lebanon: A scoping review

Many cognitive functions are affected in schizophrenia patients, particularly memory, attention, motor skills, executive function, and social cognition. Cognitive assessment is one of the best indicators of the functional and social prognosis of schizophrenic patients. In Lebanon, no study has yet examined the assessment of cognitive functions in patients with neurological or psychiatric diseases. This review aims to provide an overview of the cognitive profiles of schizophrenia and describe the different cognitive tests used in Lebanon. The MEDLINE/PubMed database was used to conduct a literature review covering all studies related to cognition in psychosis patients from 1990 until March 2021. This screening resulted in 97 articles focused on cognition in psychiatric patients or cognitive tests in schizophrenia and required an in-depth analysis. The majority of measures developed to evaluate cognition in patients with schizophrenia were from Western countries, most of which are long and complex and may require several hours to administer. The number of neuropsychological tests available in Arab countries is unknown, although it is likely to be limited compared to what is available in Western countries. In Lebanon, some neuropsychological batteries have been locally used to assess cognition without being translated and validated to be adapted to the Lebanese sociocultural context. Clinicians in Lebanon underestimate the extent of cognitive impairment in schizophrenia patients as they have limited options, using untranslated tests or using translations that have not been validated. Future studies should target the development and adaptation of instruments that predict and measure cognition and functional ability.

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Many cognitive functions are generally impaired in patients with schizophrenia

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The number of neuropsychological tests available in Arab countries is unknown

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In Lebanon, some neuropsychological batteries have been used to assess cognition without being translated and validated

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Few studies conducted in Lebanon have used neurocognitive tests among schizophrenia.

Explicit Training to Improve Affective Prosody Recognition in Adults with Acute Right Hemisphere Stroke

Difficulty recognizing affective prosody (receptive aprosodia) can occur following right hemisphere damage (RHD). Not all individuals spontaneously recover their ability to recognize affective prosody, warranting behavioral intervention. However, there is a dearth of evidence-based receptive aprosodia treatment research in this clinical population. The purpose of the current study was to investigate an explicit training protocol targeting affective prosody recognition in adults with RHD and receptive aprosodia. Eighteen adults with receptive aprosodia due to acute RHD completed affective prosody recognition before and after a short training session that targeted proposed underlying perceptual and conceptual processes. Behavioral impairment and lesion characteristics were investigated as possible influences on training effectiveness. Affective prosody recognition improved following training, and recognition accuracy was higher for pseudo- vs. real-word sentences. Perceptual deficits were associated with the most posterior infarcts, conceptual deficits were associated with frontal infarcts, and a combination of perceptual-conceptual deficits were related to temporoparietal and subcortical infarcts. Several right hemisphere ventral stream regions and pathways along with frontal and parietal hypoperfusion predicted training effectiveness. Explicit acoustic-prosodic-emotion training improves affective prosody recognition, but it may not be appropriate for everyone. Factors such as linguistic context and lesion location should be considered when planning prosody training.

Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition

Background

Recent views posited that negative parenting and attachment insecurity can be considered as general environmental factors of vulnerability for psychosis, specifically for individuals diagnosed with psychosis (PSY). Furthermore, evidence highlighted a tight relationship between attachment style and social cognition abilities, a key PSY behavioral phenotype. The aim of this study is to generate a machine learning algorithm based on the perceived quality of parenting and attachment style-related features to discriminate between PSY and healthy controls (HC) and to investigate its ability to track PSY early stages and risk conditions, as well as its association with social cognition performance.

Methods

Perceived maternal and paternal parenting, as well as attachment anxiety and avoidance scores, were trained to separate 71 HC from 34 PSY (20 individuals diagnosed with schizophrenia + 14 diagnosed with bipolar disorder with psychotic manifestations) using support vector classification and repeated nested cross-validation. We then validated this model on independent datasets including individuals at the early stages of disease (ESD, i.e. first episode of psychosis or depression, or at-risk mental state for psychosis) and with familial high risk for PSY (FHR, i.e. having a first-degree relative suffering from psychosis). Then, we performed factorial analyses to test the group x classification rate interaction on emotion perception, social inference and managing of emotions abilities.

Results

The perceived parenting and attachment-based machine learning model discriminated PSY from HC with a Balanced Accuracy (BAC) of 72.2%. Slightly lower classification performance was measured in the ESD sample (HC-ESD BAC = 63.5%), while the model could not discriminate between FHR and HC (BAC = 44.2%). We observed a significant group x classification interaction in PSY and HC from the discovery sample on emotion perception and on the ability to manage emotions (both p = 0.02). The interaction on managing of emotion abilities was replicated in the ESD and HC validation sample (p = 0.03).

Conclusion

Our results suggest that parenting and attachment-related variables bear significant classification power when applied to both PSY and its early stages and are associated with variability in emotion processing. These variables could therefore be useful in psychosis early recognition programs aimed at softening the psychosis-associated disability.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40359-021-00552-3.

Language Dysfunction in Schizophrenia: Assessing Neural Tracking to Characterize the Underlying Disorder(s)?

Deficits in language production and comprehension are characteristic of schizophrenia. To date, it remains unclear whether these deficits arise from dysfunctional linguistic knowledge, or dysfunctional predictions derived from the linguistic context. Alternatively, the deficits could be a result of dysfunctional neural tracking of auditory information resulting in decreased auditory information fidelity and even distorted information. Here, we discuss possible ways for clinical neuroscientists to employ neural tracking methodology to independently characterize deficiencies on the auditory-sensory and abstract linguistic levels. This might lead to a mechanistic understanding of the deficits underlying language related disorder(s) in schizophrenia. We propose to combine naturalistic stimulation, measures of speech-brain synchronization, and computational modeling of abstract linguistic knowledge and predictions. These independent but likely interacting assessments may be exploited for an objective and differential diagnosis of schizophrenia, as well as a better understanding of the disorder on the functional level-illustrating the potential of neural tracking methodology as translational tool in a range of psychotic populations.

Processing of Emotions in Speech in Forensic Patients With Schizophrenia: Impairments in Identification, Selective Attention, and Integration of Speech Channels

Individuals with schizophrenia show deficits in recognition of emotions which may increase the risk of violence. This study explored how forensic patients with schizophrenia process spoken emotion by: (a) identifying emotions expressed in prosodic and semantic content separately, (b) selectively attending to one speech channel while ignoring the other, and (c) integrating the prosodic and the semantic channels, compared to non-clinical controls. Twenty-one forensic patients with schizophrenia and 21 matched controls listened to sentences conveying four emotions (anger, happiness, sadness, and neutrality) 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. Forensic patients with schizophrenia performed with intact identification and integration of spoken emotions, but their ratings indicated reduced discrimination, larger failures of selective attention, and under-ratings of negative emotions, compared to controls. This finding doesn't support previous reports of an inclination to interpret social situations in a negative way among individuals with schizophrenia. Finally, current results may guide rehabilitation approaches matched to the pattern of auditory emotional processing presented by forensic patients with schizophrenia, improving social interactions and quality of life.

Speech Prosody as a Bridge Between Psychopathology and Linguistics: The Case of the Schizophrenia Spectrum

Patients with schizophrenia spectrum disorders experience severe difficulties in interpersonal communication, as described by traditional psychopathology and current research on social cognition. From a linguistic perspective, pragmatic abilities are crucial for successful communication. Empirical studies have shown that these abilities are significantly impaired in this group of patients. Prosody, the tone of voice with which words and sentences are pronounced, is one of the most important carriers of pragmatic meaning and can serve a range of functions from linguistic to emotional ones. Most of the existing literature on prosody of patients with schizophrenia spectrum disorders focuses on the expression of emotion, generally showing significant impairments. By contrast, the use of non-emotional prosody in these patients is scarcely investigated. In this paper, we first present a linguistic model to classify prosodic functions. Second, we discuss existing studies on the use of non-emotional prosody in these patients, providing an overview of the state of the art. Third, we delineate possible future lines of research in this field, also taking into account some classical psychopathological assumptions, for both diagnostic and therapeutic purposes.