Assessing instrumental activities of daily living (iADL) with a game-based assessment for individuals with schizophrenia.

BACKGROUND: The Virtual Reality Functional Capacity Assessment Tool (VRFCAT) is an "applied" game-based assessment that uses a multi-level functional task to assess instrumental activities of daily living (iADL). This study examines the feasibility, convergent validity, and predictive ability of the VRFCAT in a sample of inpatients with chronic schizophrenia. METHODS: Inpatients with a DSM-5 diagnosis of schizophrenia or schizoaffective disorder, completed the VRFCAT prior to discharge. The UPSA-B, SLOF, and PSP were administered, both at baseline and after four-weeks in the community. VRFCAT performance scores were compared to published data from the VRFCAT validation study. RESULTS: All 62 participants completed the VRFCAT. Compared to the performance of stable outpatients, participants performed 1.50 SDs below the VRFCAT mean adjusted total time (ATT) (Validation study: Mean T Score = 32.5, SD = 16.59) with more errors. The VRFCAT ATT T-score was significantly correlated with baseline UPSA-B total score (p = 0.005) and PSP Global score (p = 0.010). 34 participants completed the follow-up period (55%), and 28 were lost to follow-up. There were no statistically significant differences in VRFCAT scores between these two groups (all p > 0.29). The VRFCAT composite score at baseline was significantly associated with the UPSA-B total score (p = 0.010) and the PSP total score (p = 0.008) at four-weeks, as was the PSP Socially Useful Activities subscale score (p = 0.006). CONCLUSION: The VRFCAT is a valid measure of iADLs in inpatients with chronic schizophrenia. The VRFCAT predicted instrumental functioning four-weeks post-discharge. Future studies should examine other moderators of measures of functional capacity pre-discharge, predicting function later in the community.

Differential improvement of negative-symptom subfactors after cognitive remediation in low-functioning individuals with schizophrenia.

BACKGROUND: Negative symptoms and cognitive deficits have a substantial predictive value for functional deficits and recovery in schizophrenia. However, the relationship between negative symptoms and cognitive abnormalities is unclear possibly due to the heterogeneity of negative symptoms. This study used the model of expressive and experiential negative symptoms subfactors to decrease this heterogeneity. It examined these subfactors and cognition before and after treatment with computerized cognitive remediation training (CRT) in chronically-hospitalized individuals with psychosis and predominant negative symptoms. METHODS: Seventy-eight adult participants with a DSM-IV-TR diagnosis of schizophrenia or schizoaffective disorder were enrolled in a 12-week CRT program. Assessments of demographic and illness variables, baseline and endpoint assessments of psychopathology (Positive and Negative Syndrome Scale) and cognition (MATRICS Consensus Cognitive Battery - MCCB) were conducted. RESULTS: The baseline expressive negative subfactor was associated with Processing Speed (r = -0.352, p ≤ 0.001) and Reasoning/Problem Solving (r = -0.338, p ≤ 0.001). Following CRT, there was a significant decrease in the experiential negative subfactor (p < 0.01) but not of the expressive negative subfactor. Change in MCCB domains after CRT accounted for 51.1% and 50.2% of the variance of change in expressive and experiential negative subfactor scores, respectively. For both subfactors, Visual Learning was a significant predictor of change (p < 0.05). CONCLUSION: Our findings suggest that CRT has benefits for negative symptoms in very low-functioning patients and that this change may be in part mediated by change in cognitive functions after CRT.

Transcranial direct-current stimulation in ultra-treatment-resistant schizophrenia.

BACKGROUND: Transcranial direct-current stimulation (tDCS), a non-invasive neurostimulation treatment, has been reported in a number of sham-controlled studies to show significant improvements in treatment-resistant auditory hallucinations in schizophrenia patients, primarily in ambulatory and higher-functioning patients, but little is known of the effects of tDCS on hospitalized, low-functioning inpatients. OBJECTIVE/HYPOTHESIS: The purpose of this study was to examine the efficacy and safety of tDCS for auditory hallucinations in hospitalized ultra-treatment-resistant schizophrenia (TRS) and to evaluate the effects of tDCS on cognitive functions. We hypothesized that treatment non-response reported in previous tDCS studies may have been due to the insufficient duration of direct-current stimulation. METHODS: Inpatient participants with DSM-V schizophrenia, long-standing treatment-resistance, and auditory verbal hallucinations (AVH) participated in this 4-week sham-controlled, randomized trial. Assessments included the Positive and Negative Syndrome Scale (PANSS) and MATRICS Consensus Cognitive Battery (MCCB) at baseline and endpoint (at the end of Week 4), and the Auditory Hallucinations Rating Scale (AHRS) administered at baseline, endpoint, and weekly throughout the study. Participants were randomized to receive active vs. sham tDCS treatments twice daily for 4 weeks. RESULTS: Twenty-eight participants were enrolled (tDCS, n = 15; control, n = 13) and 21 participants completed all 4 weeks of the trial. Results showed a significant reduction for the auditory hallucination total score (p ≤ 0.05). We found a 21.9% decrease in AHRS Total Score for the tDCS group and a 12.6% decrease in AHRS Total Score for the control group. Significant reductions in frequency, number of voices over time, length of auditory hallucinations, and overall psychopathology were also observed for the tDCS group. When assessing cognitive functioning, only Working Memory showed improvement for the tDCS group. CONCLUSION: Although there was only a small improvement noted in auditory hallucination scores for the tDCS group, this improvement was meaningful when compared to no standard treatment of the control group. While this makes the interpretation of clinical significance debatable, it does confirm that tDCS combined with pharmacological intervention can provide clinical gains over pharmacological intervention alone. Therefore, tDCS treatment appears to be effective not only for ambulatory, higher-functioning patients, but also for patients with ultra-treatment-resistant schizophrenia.

Validation of the MUSIC Model of Motivation Inventory for use with cognitive training for schizophrenia spectrum disorders: A multinational study.

AIM: Low motivation is a core symptom of schizophrenia which significantly impacts successful engagement in and benefit from psychosocial treatments. Therefore, it is important for clinicians to design psychosocial treatments to effectively motivate and engage patients during the treatment. The MUSIC® Model of Academic Motivation Inventory (MMI) is an 18-item instrument with five scales that assess students' motivation during academic tasks. The objective of the current study was to validate the MMI for use with schizophrenia-spectrum patients undergoing cognitive training. METHODS: Participants included 181 people with schizophrenia spectrum disorders enrolled in cognitive training in four countries. A confirmatory factor analysis (CFA) assessed construct validity. Quality of fit was determined using the Comparative Fit Index (CFI), the Standardized Root Mean Square Residual (SRMR), and the Root Mean Square Error of Approximation (RMSEA). Pearson's correlation coefficients assessed construct validity and Cronbach's alphas assessed reliability. Furthermore, we examined factor loadings for each inventory item and assessed predictive validity by analyzing MMI scales with attendance outcomes. RESULTS: Consistent with the original MMI validation studies used in academic settings, we found CFI values indicated a good fit, as did the SRMR and RMSEA values. The scales were correlated yet distinct. Cronbach's alpha values ranged from good to excellent and factor loadings showed that all items loaded very well onto their intended factors. The MMI had a positive relationship to treatment intensity. CONCLUSION: The MMI is a valid and reliable tool to use with individuals with schizophrenia spectrum disorders undergoing a cognitive training intervention.

Does social cognition training augment response to computer-assisted cognitive remediation for schizophrenia?

OBJECTIVES: Cognitive remediation therapy (CRT) has shown significant improvement in cognition in schizophrenia. However, effect sizes of CRT have been reported to be modest raising the issue how to augment the effects of CRT on neurocognition and social cognition. Our aim was to examine whether the addition of computerized social cognition training would enhance the effects on neurocognition and social cognition as compared to CRT alone. METHODS: This is a 12-week, parallel group trial of 131 in- and out-patients with schizophrenia randomized to CRT (COGPACK or Brain Fitness) with computerized social cognition training (MRIGE), or CRT alone for 36 sessions. Participants were assessed at baseline and after 12 weeks of treatment. Assessments included neurocognition, social cognition, psychopathology, and functioning. RESULTS: The combined intervention, CRT + MRIGE, showed greater improvements in the MCCB indices of Visual Learning, Working Memory, Reasoning and Problem-Solving, and the neurocognitive composite score compared to CRT alone (Bonferroni adjusted p = 0.004, p = 0.005, p = 0.01, respectively), as did social cognition measures (Bonferroni adjusted p = 0.006, p = 0.005, respectively). CONCLUSIONS: Supplementing CRT with computerized social cognition training produced greater benefits in neurocognition, including visual learning, memory, executive functions, and social cognition relative to cognitive training alone. These findings favoring the combined training may be contributed to both the greater overall amount of cognitive practice, as well as the specific cognitive functions engaged by the social cognition training.

Predictors of response to cognitive remediation in service recipients with severe mental illness.

OBJECTIVE: Cognitive challenges are prominent features of individuals diagnosed with schizophrenia, impairing occupational, social, and economic functioning. These challenges are predictive of social and work outcomes. Cognitive remediation has been shown to be effective in improving both cognitive and social functions. However, cognitive remediation does not produce improvement in all participants. We investigated demographic, neurocognitive, and psychopathological predictors associated with improvement following cognitive remediation interventions in service recipients with severe mental illnesses. METHOD: One hundred thirty-seven adult participants with a diagnosis of schizophrenia, schizoaffective disorder, or bipolar disorder according to the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.) were enrolled in 12-week cognitive remediation programs. Assessments of demographic and illness variables, together with baseline and end point assessment of psychopathology (Positive and Negative Syndrome Scale [PANSS]), neurocognition (Measurement and Treatment Research to Improve Cognition in Schizophrenia [MATRICS] Consensus Cognitive Battery [MCBB]), and social functions (Personal and Social Performance Scale [PSP]) were conducted. Change in cognitive domains was calculated using the reliable change index. Logistic regression analysis was used to assess predictors of cognitive improvement after the intervention. RESULTS: Sixty-two percent of participants improved on at least 1 of the MCCB domains. Higher baseline speed of processing, attention or vigilance, and working memory predicted a positive response to cognitive remediation. Younger age, higher education level, shorter length of stay, and lower PANSS Negative and Disorganized factors were additional predictors. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Our results indicate the clinical usefulness of cognitive remediation and identified a pattern of clinical and cognitive predictors of good response to the intervention. Identification of these predictive factors by clinicians may enhance the outcome and aid in the development of individualized rehabilitative cognitive remediation treatment plans. (PsycINFO Database Record

The relationship of cognitive improvement after cognitive remediation with social functioning in patients with schizophrenia and severe cognitive deficits.

BACKGROUND: This study aims to examine the effects of change in neurocognition on functional outcomes and to examine predictors of change in social functions following a 12-week course of cognitive remediation in patients with schizophrenia and schizoaffective disorder with severe cognitive impairments. METHOD: Level of social functioning was assessed using a performance based measure of functional capacity (PSP) in patients prior to and after the completion of 12-week cognitive remediation treatment (CRT). Participants completed a neuropsychological battery (MCCB-MATRICS) and clinical measures at both time points. RESULTS: 63 subjects with a mean age of 41.4 (SD=12.2) and with 12.2years of education (SD=2.4) were enrolled. There were significant improvements in overall PSP score from baseline to endpoint (p=0.021) as well as in PSP domain A (socially useful activities) (p≤0.001), domain B (personal and social relationships) (p=0.009), and domain D (disturbing and aggressive behaviors) (p=0.003). There was a significant improvement in the composite MCCB score (p=0.020) and the Working Memory (p<0.046). Stepwise logistic regression yielded a significant association for baseline Visual Learning (Wald=6.537, p=0.011, OR=1.195), Speed of Processing (Wald=4.112, p=0.043, OR=0.850) and level of PANSS positive symptoms (Wald=4.087, p=0.043, OR=0.739) with PSP overall improvement. CONCLUSIONS: Faster speed of processing, better visual and verbal learning and less prominent positive symptoms were associated with greater functional improvement after a systematic cognitive intervention within a rehabilitative setting.