Neural changes following cognitive remediation therapy for schizophrenia.

Patients with schizophrenia experience cognitive impairments that relate to poorer social functioning even after amelioration of positive symptoms. Pharmacological treatment and cognitive remediation are the two important therapeutic approaches for cognitive impairment in schizophrenia. Cognitive remediation therapy (CRT) for schizophrenia improves cognitive functioning and induces neuroplasticity, but different approaches and durations of CRT and different neuroimaging devices have led to varying results in meta-analyses. The objective of this review was to explore the impact of CRT on neurobiology. Several studies have provided evidence of increased activation in the frontal brain regions, such as the prefrontal cortex, anterior cingulate cortex, and parietal and occipital regions during working memory or executive function tasks after CRT. Two studies have shown alterations in resting-state connectivity between the prefrontal cortex and temporal regions. Two studies have reported that CRT induces changes in gray matter volume in the hippocampus. Further, one study observed that patients who had received CRT had elevated fractional anisotropy in the basal ganglia. We conclude that neuroimaging studies assessing CRT in patients with schizophrenia showed functional, structural, and connectivity changes that were positively correlated with cognitive improvements despite heterogeneous CRT approaches. Future studies that combine multiple modalities are required to address the differences, effects of intrinsic motivation, and pharmacological augmentation of CRT. Further understanding of the biological basis might lead to predictions of the CRT response in patients with schizophrenia and contribute to identification of schizophrenia patients for future interventions.

Computer-assisted cognitive remediation therapy increases hippocampal volume in patients with schizophrenia: a randomized controlled trial.

BACKGROUND: Cognitive remediation therapy (CRT) effectively reduces neurocognitive impairment in patients with schizophrenia, but few studies have used structural neuroimaging methods to assess its neuroanatomical effects. We investigated these effects, as well as the association between changes in cortical volume and neurocognitive performance. METHOD: Between August 2013 and September 2016, we performed a randomized controlled study comprising a CRT group (16 individuals) and a treatment-as-usual (TAU) group (15 individuals) of patients with schizophrenia. CRT participants engaged in twice-weekly computer-assisted CRT sessions and weekly group meetings for 12 weeks. T1-weighted magnetic resonance imaging was performed before and after the intervention period, and whole-brain voxel-based morphometric analysis was used to detect significant cortical gray matter volume changes. We also assessed the correlation between cortical volume changes and CRT-derived neurocognitive improvements. RESULTS: The CRT group exhibited significantly greater improvements than the TAU group in verbal fluency (P = 0.012) and global cognitive scores (P = 0.049). The CRT group also exhibited significantly greater increases in right hippocampal volume than the TAU group (P < 0.001). Changes in verbal fluency scores and right hippocampal volumes were positively correlated (r = 0.53, P = 0.001). CONCLUSION: We found that CRT significantly increased right hippocampal volumes and that these enhancements were positively correlated with changes in verbal fluency scores. Our results indicate that CRT induces cognitive improvement through hippocampal plasticity. TRIAL REGISTRATION: Registration number: UMIN000026146 , 2017/02/15, retrospectively registered.

Feasibility and effectiveness of a cognitive remediation programme with original computerised cognitive training and group intervention for schizophrenia: a multicentre randomised trial.

Devising new methods to improve neurocognitive impairment through cognitive remediation is an important research goal. We developed an original computer programme termed the Japanese Cognitive Rehabilitation Programme for Schizophrenia (JCORES) that provides cognitive practice across a broad range of abilities. The current study examined for the first time whether a cognitive remediation programme, including both computerised cognitive training using JCORES and group intervention such as enhancing meta-cognition and teaching strategies, is more effective than treatment as usual for improving neurocognitive and social functioning. Sixty-two outpatients with schizophrenia were randomised to either a cognitive remediation group or a control group. Participants engaged in two computerised cognitive training sessions and one group meeting per week for 12 weeks. The average number of total sessions attended (computerised cognitive practice + group intervention) was 32.3 (89.7%). The cognitive remediation group showed significantly more improvements in verbal memory, composite score of the Brief Assessment of Cognition in Schizophrenia, Japanese version (BACS-J), and general psychopathology on the Positive and Negative Syndrome Scale (PANSS) than the control group. These findings demonstrate that a cognitive remediation programme is feasible in Japan and is a more effective way to improve neurocognitive functioning and psychiatric symptoms.

Smoking bans in mental health hospitals in Japan: barriers to implementation.

BACKGROUND: A number of studies have reported that smoking rates are higher and smoking cessation rates are lower in patients with mental disorders than in the general population. Despite the harmful effects of smoking, implementing total smoking bans in mental health hospitals is difficult. We investigate the status of smoking bans and the barriers to the implementation of total smoking bans in Japanese mental health hospitals. METHODS: A questionnaire survey was administered to the directors of 1242 Japanese mental health hospitals in March 2013. RESULTS: Forty-nine percent (n = 612) of the hospital directors responded. Of these, 24 % implemented total smoking bans and 14 % limited the bans to hospital buildings. In 66 and 68 % of the remaining hospitals, smoking rooms were located in open and closed wards, respectively, and completely separate from nonsmoking areas. Hospitals that had not implemented total smoking bans were concerned that introducing a total ban would exacerbate patients' psychiatric symptoms (46 %) or increase the incidence of surreptitious smoking (65 %). However, of the hospitals that had implemented total smoking bans, only 2 and 30 % identified "aggravation of psychiatric symptoms" and "increased surreptitious smoking" as disadvantages, respectively. The other concerns regarding the implementation of total smoking bans were staff opposition (21 %) and incidence of smoking around hospital grounds (46 %). These concerns were overcome by educating staff about smoking and cleaning the area around the hospital. CONCLUSIONS: There are some barriers to implementing total smoking bans in Japanese mental health hospitals. However, our study indicates that implementation of total smoking bans in mental health hospitals was minimally problematic and that barriers to the implementation of smoking bans could be overcome. As the current number of hospitals that have implemented total smoking bans is low in Japan, more hospitals should introduce total smoking bans.

Eye-movement analysis on facial expression for identifying children and adults with neurodevelopmental disorders.

Experienced psychiatrists identify people with autism spectrum disorder (ASD) and schizophrenia (Sz) through interviews based on diagnostic criteria, their responses, and various neuropsychological tests. To improve the clinical diagnosis of neurodevelopmental disorders such as ASD and Sz, the discovery of disorder-specific biomarkers and behavioral indicators with sufficient sensitivity is important. In recent years, studies have been conducted using machine learning to make more accurate predictions. Among various indicators, eye movement, which can be easily obtained, has attracted much attention and various studies have been conducted for ASD and Sz. Eye movement specificity during facial expression recognition has been studied extensively in the past, but modeling taking into account differences in specificity among facial expressions has not been conducted. In this paper, we propose a method to detect ASD or Sz from eye movement during the Facial Emotion Identification Test (FEIT) while considering differences in eye movement due to the facial expressions presented. We also confirm that weighting using the differences improves classification accuracy. Our data set sample consisted of 15 adults with ASD and Sz, 16 controls, and 15 children with ASD and 17 controls. Random forest was used to weight each test and classify the participants as control, ASD, or Sz. The most successful approach used heat maps and convolutional neural networks (CNN) for eye retention. This method classified Sz in adults with 64.5% accuracy, ASD in adults with up to 71.0% accuracy, and ASD in children with 66.7% accuracy. Classifying of ASD result was significantly different (p<.05) by the binomial test with chance rate. The results show a 10% and 16.7% improvement in accuracy, respectively, compared to a model that does not take facial expressions into account. In ASD, this indicates that modeling is effective, which weights the output of each image.

Automatic evaluation-feedback system for automated social skills training.

Social skills training (SST), which is a rehabilitation program for improving daily interpersonal communication, has been used for more than 40 years. Although such training's demand is increasing, its accessibility is limited due to the lack of experienced trainers. To tackle this issue, automated SST systems have been studied for years. An evaluation-feedback pipeline of social skills is a crucial component of an SST system. Unfortunately, research that considers both the evaluation and feedback parts of automation remains insufficient. In this paper, we collected and analyzed the characteristics of a human-human SST dataset that consisted of 19 healthy controls, 15 schizophreniacs, 16 autism spectrum disorder (ASD) participants, and 276 sessions with score labels of six clinical measures. From our analysis of this dataset, we developed an automated SST evaluation-feedback system under the supervision of professional, experienced SST trainers. We identified their preferred or most acceptable feedback methods by running a user-study on the following conditions: with/without recorded video of the role-plays of users and different amounts of positive and corrective feedback. We confirmed a reasonable performance of our social-skill-score estimation models as our system's evaluation part with a maximum Spearman's correlation coefficient of 0.68. For the feedback part, our user-study concluded that people understood more about what aspects they need to improve by watching recorded videos of their own performance. In terms of the amount of feedback, participants most preferred a 2-positive/1-corrective format. Since the average amount of feedback preferred by the participants nearly equaled that from experienced trainers in human-human SSTs, our result suggests the practical future possibilities of an automated evaluation-feedback system that complements SSTs done by professional trainers.

The Validation of Automated Social Skills Training in Members of the General Population Over 4 Weeks: Comparative Study.

BACKGROUND: Social skills training by human trainers is a well-established method of teaching appropriate social and communication skills and strengthening social self-efficacy. Specifically, human social skills training is a fundamental approach to teaching and learning the rules of social interaction. However, it is cost-ineffective and offers low accessibility, since the number of professional trainers is limited. A conversational agent is a system that can communicate with a human being in a natural language. We proposed to overcome the limitations of current social skills training with conversational agents. Our system is capable of speech recognition, response selection, and speech synthesis and can also generate nonverbal behaviors. We developed a system that incorporated automated social skills training that completely adheres to the training model of Bellack et al through a conversational agent. OBJECTIVE: This study aimed to validate the training effect of a conversational agent-based social skills training system in members of the general population during a 4-week training session. We compare 2 groups (with and without training) and hypothesize that the trained group's social skills will improve. Furthermore, this study sought to clarify the effect size for future larger-scale evaluations, including a much larger group of different social pathological phenomena. METHODS: For the experiment, 26 healthy Japanese participants were separated into 2 groups, where we hypothesized that group 1 (system trained) will make greater improvement than group 2 (nontrained). System training was done as a 4-week intervention where the participants visit the examination room every week. Each training session included social skills training with a conversational agent for 3 basic skills. We evaluated the training effect using questionnaires in pre- and posttraining evaluations. In addition to the questionnaires, we conducted a performance test that required the social cognition and expression of participants in new role-play scenarios. Blind ratings by third-party trainers were made by watching recorded role-play videos. A nonparametric Wilcoxson Rank Sum test was performed for each variable. Improvement between pre- and posttraining evaluations was used to compare the 2 groups. Moreover, we compared the statistical significance from the questionnaires and ratings between the 2 groups. RESULTS: Of the 26 recruited participants, 18 completed this experiment: 9 in group 1 and 9 in group 2. Those in group 1 achieved significant improvement in generalized self-efficacy (P=.02; effect size r=0.53). We also found a significant decrease in state anxiety presence (P=.04; r=0.49), measured by the State-Trait Anxiety Inventory (STAI). For ratings by third-party trainers, speech clarity was significantly strengthened in group 1 (P=.03; r=0.30). CONCLUSIONS: Our findings reveal the usefulness of the automated social skills training after a 4-week training period. This study confirms a large effect size between groups on generalized self-efficacy, state anxiety presence, and speech clarity.

Analysis of Feedback Contents and Estimation of Subjective Scores in Social Skills Training.

This paper introduces our analysis results on the feedback contents of Social Skills Training and the consequences of automated score estimation of users' social skills with computational multimodal features. Although previous work showed the possibility of a computerized SST system as a clinical tool, its feedback strategies have not been well-investigated. We focused on the feedback content given by experienced SST trainers in human-human SST sessions to overcome this limitation. We analyzed the points mentioned by experienced SST trainers to determine where they focused during social skills evaluation. We calculated multimodal computational features from video and audio recordings inspired by the results and trained machine learning models for social skills evaluation using these features as input. We trained social skill score prediction models with the highest scores of 0.53 for correlation coefficient and 0.26 for R2. Clinical relevance- We described our automated social skills evaluation method with machine learning models toward a computerized SST system, which can be an additional option to boost the effect of SST by experienced trainers in the future.

Innovative approach to adolescent mental health in Japan: School-based education about mental health literacy.

AIMS: Improving mental health literacy through school-based education may encourage mental health promotion, prevention and care and reduce stigma in adolescents. In Japan, instruction about mental illness has been formulated in a Course of Study that reflects governmental curriculum guidelines, which will be enforced from 2022 to promote an understanding of current issues of adolescent health. Educational resources available to schoolteachers have been developed. This article describes the development processes and contents of these resources. METHODS: Our collaborating team, consisting of mental health professionals and schoolteachers, developed educational resources, based on feedback from high school students in general and young people who had experienced mental health problems. RESULTS: The new Course of Study covers: (1) mechanisms of mental illness, prevalence, age at onset, risk factors and treatability; (2) typical symptoms of mental health problems and illnesses; (3) self-help strategies for prevention of and recovery from mental illness; (4) enhancing help-seeking and helping behaviour and (5) decreasing stigma associated with people with mental health problems. The educational strategy is targeted at high school students (grades 10-12) and is conducted by teachers of health and physical education. The educational resources include short story animated films, filmed social contact and educators' manuals, which are freely available through the internet and open to all concerned including schoolteachers in Japan. CONCLUSIONS: Our efforts are expected to help implement mental health education of the public throughout Japan and other countries and promote the practice of early intervention and prevention of mental illnesses in adolescents.

A Randomized Controlled Trial Evaluating the Effectiveness of a Short Video-Based Educational Program for Improving Mental Health Literacy Among Schoolteachers.

Background: Mental illness-related stigma represents a barrier to seeking and receiving appropriate mental health care. Mental health literacy (MHL) can improve mental health knowledge, decrease stigmatizing attitudes, and enhance help-seeking behavior. Starting from 2022, mental illness-related education is due to be introduced in high schools in Japan. For this current situation, we conducted a parallel group, randomized controlled trial to examine the effectiveness of MHL educational program for teachers. Methods: The educational program described in this study comprised a 50-min video lesson designed to improve teachers' MHL. All participants were schoolteachers and were assigned either to an educational group or a waitlist control group. The assessment was conducted for both groups twice: first at baseline and then at 1-h post-intervention. The outcome measures for this trial were changes in knowledge, attitudes, and intended behaviors. Results: The educational group showed a greater improvement in knowledge regarding mental health than did the control group. The program was not effective for decreasing stigma toward mental illness. However, the educational group showed an increased intention to assist students with depression. Limitations: No long-term follow-up was implemented, which means the persistence of the educational program's effect could not be determined. Further, we could not report whether the program induced a change in teachers' behaviors regarding providing support for their students. Conclusions: The short video-based MHL educational program could improve schoolteachers' MHL and increase their intention to assist students. These findings can help in the development of similar educational programs in countries/regions experiencing similar issues regarding mental health.

Computer-assisted cognitive remediation therapy for patients with schizophrenia induces microstructural changes in cerebellar regions involved in cognitive functions.

Previous studies have reported that cognitive remediation therapy (CRT) improves cognitive deficits in patents with schizophrenia. However, few studies have focused on the underlying structural alterations in the brain following Vocational Cognitive Ability Training by the Japanese Cognitive Rehabilitation Program for Schizophrenia (VCAT-J). In this study, we analyzed changes in diffusion tensor imaging parameters in 31 patients with schizophrenia after 12 weeks of intervention consisting of standard treatment alone or standard treatment plus VCAT-J, in order to determine the effect of the latter on white matter microstructural plasticity. Cognitive function was evaluated using the Japanese version of the Brief Assessment of Cognition in Schizophrenia (BACS-J) scale. The CRT group exhibited significant improvements in verbal fluency and composite BACS-J scores, relative to the treatment-as-usual (TAU) group. In addition, the CRT group exhibited significantly increased fractional anisotropy (FA) values, along with significantly decreased radial (RD) and mean diffusivity (MD) values, in the posterior lobe of the left cerebellum. Changes in RD and MD values were negatively correlated with changes in BACS-J composite scores. These suggest that VCAT-J might mediate improvements in myelin sheath composition in the posterior lobe of the left cerebellum, which may have been associated with improvements in cognitive function.

The Feasibility and Efficacy of Social Cognition and Interaction Training for Outpatients With Schizophrenia in Japan: A Multicenter Randomized Clinical Trial.

Background: Schizophrenia is a disabling illness. Social cognition and interaction training (SCIT) seeks to improve patients' social functioning by alleviating deficits in social cognition. SCIT has shown promise in improving social cognition in patients with schizophrenia, but has not yet been studied in Japan. Design: An assessor-masked, randomized, parallel-group clinical trial was conducted to compare the feasibility and efficacy of SCIT with treatment as usual (TAU). Setting: Participants were recruited from outpatient clinics at the National Center of Neurology and Psychiatry and four other hospitals in Japan. Participants: Seventy-two patients diagnosed with schizophrenia or schizoaffective disorder consented to participate in the trial. Procedure: Participants were randomly allocated to either a SCIT subgroup or a TAU subgroup. SCIT is a manual-based group intervention that is delivered in 20-24-h-long weekly sessions. Groups include two to three clinicians and four to eight patients. Hypotheses: We hypothesized that SCIT would be found to be feasible and that patients who were randomized to receive SCIT would exhibit improvements in social cognition. Results: Data from 32 participants in each subgroup were entered into analyses. The persistence rate in the SCIT subgroup was 88.9%, and the average attendance rate was 87.0%. Intrinsic motivation was significantly higher in the SCIT subgroup than the TAU group during the first half of the program. Mixed effects modeling of various outcome measures revealed no significant interaction between measurement timepoint and group in any measures, including social cognition, neurocognition, symptom severity, and social functioning. In the case of the social cognition measure, significant change was observed only in the SCIT subgroup; however, the interaction between timepoint and group failed to reach significance. In an exploratory subgroup analysis, a shorter duration of illness was found to be associated with significantly better improvement on the social cognition measure in the SCIT subgroup compared with the TAU subgroup. Conclusions: In terms of the primary objective, the relatively low dropout rate observed in the present study suggests that SCIT is feasible and well tolerated by patients with schizophrenia in Japan. This view is also supported by participants' relatively high attendance and intrinsic motivation.

Cognitive insight and functional outcome in schizophrenia; a multi-center collaborative study with the specific level of functioning scale-Japanese version.

The Specific Levels of Functioning Scale (SLOF) has been reported to provide a measure of social function in patients with schizophrenia. The aim of this multi-center study was to determine convergent validity of the Japanese version of SLOF, and if cognitive insight would be associated with social function. Fifty-eight patients with schizophrenia participated in the study. Social function, neurocognition, and daily activity skills were evaluated by the Social Functioning Scale (SFS), Brief Assessment of Cognition in Schizophrenia (BACS) and UCSD Performance-based Skills Assessment-Brief (UPSA-B), respectively. We also assessed cognitive insight with the Beck Cognitive Insight Scale (BCIS). Significant relationships were noted between scores on the SLOF vs. those of the SFS, BACS, UPSA-B, and BCIS. Specifically, the correlation between performance on the UPSA-B and SLOF scores was significantly more robust compared to the correlation between performance on the UPSA-B and scores on the SFS. Similarly, the correlation between scores on the BACS and SLOF tended to be more robust than that between the BACS and SFS. Importantly, while the correlation between scores on the BCIS and SLOF reached significance, it was not so between scores on the BCIS and SFS. The SLOF Japanese version was found to provide a measure of social consequences in patients with schizophrenia. Importantly, this study is the first to indicate the relationship between cognitive insight and social function evaluated by the SLOF. This finding is consistent with the observation that SLOF scores were considerably associated with performances on objective functional measures.

Differential patterns of blood oxygenation in the prefrontal cortex between patients with methamphetamine-induced psychosis and schizophrenia.

Despite some slight differences in symptomatology, differential diagnosis of methamphetamine-induced psychosis (MAP) versus schizophrenia can be challenging because both disorders present a large overlap in their clinical symptoms. However, a recent study has shown that near-infrared spectroscopy (NIRS) performed during a cognitive task can be a powerful tool to differentiate between these two disorders. Here, we evaluated verbal fluency task performance during NIRS in 15 patients diagnosed with MAP and 19 with schizophrenia matched for age and sex. We used prefrontal probes and a 24-channel NIRS machine to measure the relative concentrations of oxyhaemoglobin every 0.1 s during the task. For each patient, the neurocognitive function and clinical psychopathology were evaluated using the Positive and Negative Symptom Scale (PANSS), and the Brief Assessment of Cognition in Schizophrenia (BACS). Oxyhaemoglobin changes in the prefrontal cortex were significantly higher in the MAP group compared to those in the schizophrenia group, particularly in the right dorsolateral prefrontal cortex. In contrast, we found no significant difference in PANSS and BACS scores. Our findings suggest that NIRS measurement could be applied to differentiate patients with MAP from those with schizophrenia, even in cases where clinical symptoms are similar.