Auditory hallucinations (AH) are the most common symptom of psychosis. The voices people hear make comments that are benign or even encouraging, but most often voices are threatening and derogatory. Negative AH are often highly distressing and contribute to suicide risk and violent behavior. Biological mechanisms underlying the valence of voices (i.e., positive, negative, neutral) are not well delineated. In the current study, we examined whether AH voice valence was associated with increased activation of the Defensive Motivational System, as indexed by central and autonomic system response to unpleasant stimuli. Data were evaluated from two studies that used a common symptom rating instrument, the Psychotic Symptom Rating Scale (PSY-RATS), to measure AH valence. Participants included outpatients diagnosed with SZ. Tasks included: Study 1: Trier Social Stress Task while heart rate was recorded via electrocardiography ( = 27); Study 2: Passive Viewing Task while participants were exposed to pleasant, unpleasant, and neutral images from the International Affective Picture System (IAPS) library while eye movements, pupil dilation, and electroencephalography were recorded ( = 25). Results indicated that negative voice content was significantly associated with: 1) increased heart rate during an acute social stressor, 2) increased pupil dilation to unpleasant images, 3) higher neural reactivity to unpleasant images, and 4) a greater likelihood of having bottom-up attention drawn to unpleasant stimuli. Findings suggest that negative AH are associated with greater Defensive Motivational System activation in terms of central and autonomic nervous system response.

Ecologically valid assessments need to require tasks representative of real, everyday interactions between people in a social environment (i.e., verisimilitude) and to predict aspects of real-life performance in those same interactions (i.e., veridicality). To determine how researchers interested in social cognition among people with schizophrenia currently understand and apply ecological validity in their work, we conducted a systematic review of studies that had the ecological validity of their results as an explicit objective.

Cognitive impairments in schizophrenia significantly affect functional outcomes and quality of life. This meta-analysis evaluates the effectiveness of transcranial direct current stimulation (tDCS) as an intervention for cognitive deficits in individuals with schizophrenia.

Humor, a higher-order social cognitive process unique to humans, is commonly impaired in patients with chronic schizophrenia. However, humor processing and its association with the clinical characteristics in the early stage of the illness remain unknown. In this study, we investigated humor processing and its relationship with clinical features in patients with first-episode schizophrenia (FES). We recruited 45 patients with FES and 44 healthy controls matched for age, sex, and education level. The participants completed the Picture Humor Processing Task (HPT-p) and Video Humor Processing Task (HPT-v), which evaluated humor comprehension and appreciation, and a questionnaire assessing their humor styles. Clinical participants also completed clinical and social functioning measurements. Signal detection theory analysis was used to calculate the d' and β values, which represent the detection of humor signals in the comprehension phase and inner criteria of the humor appreciation phase, respectively. In the HPT-p, patients with FES showed a higher false alarm rate ( = 0.048) than healthy controls, whereas the hitting rate, signal recognition ability (d' value), and intrinsic evaluation criterion (β value) were comparable between the two participants groups. In the HPT-v, patients with FES showed lower within-group coherence in the funniness rating ( = 0.023) than healthy controls. In addition, the false alarm rate in the HPT-p and negative symptoms effectively predicted social functioning in patients with FES (R = 0.681,  < 0.001). Our results indicate that impairment of humor comprehension in patients with schizophrenia is generated in the first episode and contributes to social functioning deficits, which require early recognition and intervention.

Decentralized clinical trials are leading to rapid changes in assessment technology, including an expansion of interest in remote delivery. As technology changes, some of the updates include migration to fully cloud-based software and data management, with attendant differences in hardware, response modalities, and modifications in the level of tester engagement. It is rare to see systematic descriptions of the process of migration and upgrading of technology-related assessments. We present comparative data on successive generations of two widely used functional capacity measures, the Virtual Reality Functional Capacity Assessment Tool (VRFCAT) and the Functional Capacity Assessment and Training System (FUNSAT). Four samples of healthy older individuals completed either the original device-resident, computer-administered versions, or cloud-based, tablet-delivered versions of these tasks. For the VRFCAT, performance and correlations with age were similar across versions, although performance was slightly (5 %) faster with iPad delivery. For the FUNSAT, performance and correlations with age and cognitive task scores were generally similar across versions for English Speakers, though there were some differences related to the testing language for the cloud-based version. These results support the feasibility of migrating digital assessments to cloud-based delivery and substantiate fundamental similarity across delivery strategies.

Cognitive rehabilitation is essential for schizophrenia treatment since it improves function. Moreover, the relationship between cognitive rehabilitation and functioning is significantly affected by negative symptoms and social cognition. Integrated Psychological Therapy (IPT) is a promising approach that integrates interventions in neurocognition, social cognition, and functional level. This study examines IPT's efficacy in chronic middle-aged inpatients.

Studies of schizophrenia and homelessness are minimal from the Indian subcontinent. Women with schizophrenia and homelessness in India remain a highly vulnerable group and there is no data to date regarding their clinical characteristics. Cognitive impairment in schizophrenia remains a major factor determining outcomes in schizophrenia. We examined the cognitive functioning of women with schizophrenia and homelessness (WSH) and compared it to an age-matched group of women with schizophrenia living with their family (WSF).

Schizophrenia is a complex disorder with symptoms such as hallucinations, delusions, and impaired social interactions, and deficits in facial emotion recognition are a key area of impairment. Studies indicate that recognizing facial emotions is essential for social interaction, and individuals with schizophrenia show significant difficulties, especially in recognizing negative emotions. Previous research has primarily focused on patients, with less attention on their first-degree relatives. This study investigates the ability to recognize negative facial expressions in paranoid and non-paranoid schizophrenia patients, their siblings, and matched healthy controls. This cross-sectional study included 60 paranoid schizophrenia patients, 60 non-paranoid schizophrenia patients, 59 siblings of paranoid patients, 60 siblings of non-paranoid patients, and 30 healthy controls, recruited from outpatients at Razi Hospital in Tabriz, Iran. The mean age was 35.7 years, and 54 % of participants were female. The Ekman 60 Faces Test assessed the recognition of basic facial emotions, focusing on negative emotions. The results revealed that paranoid schizophrenia patients showed significantly lower performance in recognizing negative facial emotions (mean score: 15.7) compared to non-paranoid patients (16.4) and siblings (28.1 for paranoid siblings, 27.4 for non-paranoid siblings). In contrast, healthy controls scored highest (29.0). This study highlights the deficits in emotion recognition in schizophrenia and their potential genetic underpinnings within family lines, contributing to understanding social cognition deficits related to the disorder.

The aim of this study was to identify the impact of staging on a six-months transition in Ultra-High Risk (UHR) youth. Subjects were enrolled at assessment; evolution was monitored for six months. Clinical determinants (unusual thought content, perceptual abnormalities, cognitive complaint, etc.) were collected. 37 non-psychotic and 39 UHR subjects were included. 13 UHR (35.2 %) experienced psychotic transition, while none of non-psychotic subjects did log-rank  < 0.001. Self-reported cognitive complaint was inversely associated to transition OR 0.13 95 % IC [0.03-0.64]. Unusual Thought Content was associated to psychotic transition 0R 8.57 95 % IC [1.17-63]. Self-reported cognitive complaint could be a protective transition marker in UHR.

Patients with schizophrenia show substantial cognitive deficits and abnormalities in neurotransmitter-related levels of mRNA in brain or peripheral blood lymphocytes. However, the relationship of cognitive deficits as measured by the MATRICS battery and mRNA levels in brain or lymphocytes has not been sufficiently explored. We measured levels of methylation or neurotransmitter-related mRNAs in lymphocytes of 38 patients with chronic schizophrenia (CSZ) and 33 non-psychotic controls (controls) by qPCR using TaqMan probes. We assessed cognitive function in these patients and controls with the MATRICS battery. We used correlation analysis and scatter plots to assess the relationship of lymphocyte mRNA levels to MATRICS domain and composite scores. CSZ subjects had a consistently negative correlation between mRNA levels in lymphocytes and MATRICS cognitive variables of speed of processing, attention-vigilance, working memory, visual learning, and overall composite score. It is uncertain whether these negative correlations represent a causative relation between specific mRNA levels and cognitive deficits. Controls had either positive correlations or non-significant correlations between mRNA and most of the MATRICS variables. There were statistically significant differences in the correlations between mRNA and MATRICS variables between CSZ vs controls for several mRNAs (DNMT1, DNMT3A, BDNF, NR3C1, FPRF3, CNTNAP2). Our data show a different relationship between mRNA levels in peripheral blood lymphocytes and MATRICS cognitive variables in CSZ vs controls. The substantive significance of these differences needs further investigation.

Anhedonia is a deficit of dynamic reward process, and a large proportion of schizophrenia patients continue to experience anhedonia even during the stable phase. However, few studies have examined the multiple aspects of performance in reward processing in patients with stable schizophrenia and evidence suggests that physical and cognitive effort may involve different neural mechanisms.

Visual exploration is abnormal in schizophrenia; however, few studies have investigated the physiological responses during selecting objectives in more ecological scenarios. This study aimed to demonstrate that people with schizophrenia have difficulties observing the prominent elements of an image due to a deficit mechanism of sensory modulation (active sensing) during natural vision.

In the last decade, the kynurenine pathway (KP) has gained attention in the pathogenesis of cognitive impairment in schizophrenia being at the croassroad between neuroinflammation and glutamatergic and cholinergic neurotransmission. However, clinical findings are scarse and conflicting, and the specific contributions of these two systems to the neurobiology of cognitive symptoms are far from being elucidated. Furthermore, little is known about the molecular underpinnings of non-pharmacological interventions for cognitive improvement, including rehabilitation strategies.

Schizophrenia presents a considerable clinical challenge due to limited progress in promoting daily-life functioning among diagnosed individuals. Although cognitive remediation (CR) has emerged as a promising approach to improving cognitive and functional outcomes in schizophrenia, its effectiveness among inpatients and within hospital environments-where opportunities to practice skills in real-world contexts are limited-remains unclear. Here, we aimed to establish the feasibility and initial efficacy of a short, ecological virtual reality-based CR training (CR-EVR) in acute mental health inpatient settings. Efficacy was assessed at four levels: training engagement, near transfer, far transfer, and ecological transfer. Twenty-three inpatients with schizophrenia (Male: 33.3 ± 8.5; 4 Female) completed 8, 20-min CR-EVR sessions, with exercises training the cognitive abilities of inhibition, planning, working memory, shifting, self-initiation, persistence, and attention. Their cognitive functioning, schizophrenia symptoms, functional capacity, and participation in occupations were evaluated pre- and post-training to address four levels of effectiveness. Of the recruited participants, 25.8 % dropped out. Inpatients who completed the full protocol reported high rates of satisfaction (1-not satisfied; 5-very satisfied)) from the intervention (Median = 4, IQR:3.5-5). Post-training, significant improvements were found in the trained cognitive components (intervention engagement: -6.58 < t/Z < 2.02,  < .05), general cognitive functioning (-2.59 < t/Z < 2.29,  < .05), functional capacity ( = -2.9, p < .05), and diversity of participation in everyday activities ( = -3.36, p < .05). This preliminary study suggests that CR-EVR may be a feasible and practical tool to enhance cognitive and ecological outcomes in short-stay acute inpatient settings. Subject to further research, such intervention may be considered an add-on to current practices that promote recovery and health among inpatient populations.

Individuals diagnosed with schizophrenia spectrum disorders (SSDs) often demonstrate alterations in the Theory of Mind Network (ToM-N). Here, in this proof-of-concept, single-arm pilot study, we investigate whether participants with an SSD ( = 7) were able to learn to volitionally control regions of the ToM-N (dorso/middle/ventromedial prefrontal cortex [D/M/VMPFC], left temporoparietal junction [LTPJ], precuneus [PC], right superior temporal sulcus [RSTS], and right temporoparietal junction [RTPJ]) using real-time fMRI neurofeedback (rtfMRI-NF). Region-of-interest analyses demonstrate that after neurofeedback training, participants were able to gain volitional control in the following ToM-N brain regions during the transfer task, where no active feedback was given: right temporoparietal junction, precuneus, and dorso/ventromedial prefrontal cortex (neurofeedback effect  > 6.17,  < .05). These findings suggest that trained volitional control over the ToM-N is tentatively feasible with rtfMRI neurofeedback in SSD, although findings need to be replicated with more robust designs that include a control group and larger samples.

It is known that cognitive deficits are a core feature of schizophrenia and that in the general population, prior beliefs significantly influence learning and reasoning processes. However, the interaction of prior beliefs with cognitive deficits and their impact on performance in schizophrenia patients is still poorly understood. This study investigates the role of beliefs and cognitive variables (CVs) like working memory, associative learning, and processing speed on learning processes in individuals with schizophrenia. We hypothesize that beliefs will influence the ability to learn correct predictions and that first-episode schizophrenia patients (FEP) will show impaired learning due to cognitive deficits.

Schizotypal traits (i.e., personality characteristics that range from mild eccentricities to more pronounced schizophrenia-like perceptions, thought patterns, and behaviours) have been associated with a variety of cognitive impairments, including difficulties in language processing. Although these difficulties span several aspects of language (e.g., semantic processing, verbal fluency, visual word recognition), it is unclear whether reading abilities are also affected. Thus, the current study employed the Schizotypal Personality Questionnaire (SPQ) - Brief (Raine and Benishay, 1995) to examine how schizotypal traits impact both word-level and text-level reading skills (using a battery of standardized assessments) in a sample of healthy young adults. We found some evidence that higher schizotypal traits, specifically, increased Disorganized factor scores (reflecting aberrant thinking, communication patterns, and behaviour), were associated with reduced word-level reading abilities. However, this finding did not remain significant after correcting for multiple comparisons. Overall, our study suggests that reading may be another aspect of language affected by schizotypal traits, although additional research (with greater power) is needed to further explore and confirm this finding.

Distorted body representations play a major role in the onset and maintenance of Schizophrenia. However, these distortions are difficult to assess because explicit assessments can provoke intense fears about the body and require a good insight. We proposed an implicit motor imagery task to a 14-year-old girl with Early-Onset Schizophrenia. The test consisted of presenting different openings varying in width. For each aperture, the young girl has to say if she could pass through without turning her shoulders. A critical aperture is determined as the first aperture for which she considered she could no longer pass, compared to her shoulders' width. The girl perceived herself as 51 % wider than she was, indicating a significant oversized body schema. The implicit assessments of body schema generate less anxiety and does not require a great level of insight; moreover, those are promising tools for early detection of disease in prodromal phases of Schizophrenia and assistance with differential diagnosis.

Despite the functional impact of cognitive deficit in people with psychosis, objective cognitive assessment is not typically part of routine clinical care. This is partly due to the length of traditional assessments and the need for a highly trained administrator. Brief, automated computerised assessments could help to address this issue. We present data from an evaluation of PsyCog, a computerised, non-verbal, mini battery of cognitive tests. Healthy Control (HC) ( = 135), Clinical High Risk (CHR) ( = 233), and First Episode Psychosis (FEP) ( = 301) participants from a multi-centre prospective study were assessed at baseline, 6 months, and 12 months. PsyCog was used to assess cognitive performance at baseline and at up to two follow-up timepoints. Mean total testing time was 35.95 min (SD = 2.87). Relative to HCs, effect sizes of performance impairments were medium to large in FEP patients (composite score G = 1.21, subtest range = 0.52-0.88) and small to medium in CHR patients (composite score G = 0.59, subtest range = 0.18-0.49). Site effects were minimal, and test-retest reliability of the PsyCog composite was good (ICC = 0.82-0.89), though some practice effects and differences in data completion between groups were found. The present implementation of PsyCog shows it to be a useful tool for assessing cognitive function in people with psychosis. Computerised cognitive assessments have the potential to facilitate the evaluation of cognition in psychosis in both research and in clinical care, though caution should still be taken in terms of implementation and study design.

Schizophrenia and bipolar disorder are associated with cognitive deficits that contribute significantly to disability. However, traditional in-lab cognitive assessments are time-consuming and not optimized for remote administration. Recent advancements in smartphone technology enable momentary cognitive assessments in a real-world context. This brief report reviews recent research in momentary cognitive assessments in individuals with schizophrenia and bipolar disorder through reviewing mobile platforms and cognitive assessments studied. A total of 14 experimental articles were reviewed, focusing on cognitive domains including visual working memory, processing speed, executive function, verbal fluency, verbal memory, social cognition, and typing patterns. The review highlights the feasibility of remote cognitive assessment with smartphones, and provides a layout of domains studied in this context, but illustrates a low volume of current research, the need for additional studies, and the potential for innovations like digital phenotyping.

While cognitive remediation therapy (CRT) and compensatory strategy training both have large literature bases supporting their efficacy on both proximal and distal outcomes, the research base on stand-alone cognitive training (CT) is smaller and less consistent, with little information about factors associated with better outcomes. In this study, we examined the efficacy of CT on training task, cognitive, symptom, and functional ability measures as well as the impact of motivational interviewing (MI), motivation level, and session attendance on treatment outcomes. Adults with psychotic spectrum disorders ( = 114) were randomized to MI or a sham control interview (CI), followed by 4 months of computerized CT. In whole sample analyses, participants improved on training tasks, cognitive performance, and psychiatric symptoms, but self-reported cognition, self-reported depression, and functional ability did not change. Compared to CI, MI was associated with greater reductions in self-reported depressive symptoms. Motivation level and session attendance did not significantly influence outcomes. Findings support the efficacy of CT on several key outcomes, and its simplicity may be advantageous in uptake in community clinics with limited staffing. The lack of functional gains underscores the need to incorporate treatment ingredients that promote generalization and real-world implementation of learned skills. We also speculate that engagement during course of training may be a better predictor of training success than baseline task-specific motivation.

Acute and transient psychotic disorder (ATPD) is characterized by acute onset of psychotic symptoms and early recovery. Contrastingly, schizophrenia (SZ) is a chronic mental disorder characterized by impaired functioning including a deficit in cognition. In SZ, the cognitive deficit is among the core symptoms, but in ATPDs, the existing evidence brings mixed results. Our primary aim was to compare three core cognitive domains (executive functioning/abstraction, speed of processing and working memory) of patients diagnosed with ATPD and SZ over a 12-month period. Moreover, we explored how these diagnostic subgroups differed in their clinical characteristics. We recruited 39 patients with a diagnosis of SZ and 31 with ATPD with schizophrenic symptoms. All patients completed clinical and neuropsychological assessments. At baseline, we used a one-way ANCOVA model with a group as the between-subjects factor. Mixed-model repeated-measures ANOVAs with time as the within-subjects factor and group as the between-subjects factor were run to test the overtime differences. At baseline, we did not find any differences in cognition - with sex, education and age as covariates - between ATPDs and SZ. After one year, all patients showed an improvement in all three domains, however, there were no significant overtime changes between ATPDs and SZ. Regarding clinical profiles, ATPDs demonstrated less severe psychopathology and better functioning compared to SZ both at baseline and after 12 months. The medication dosage differed at retest, but not at baseline between the groups. Our findings suggest clinical differences and a similar trajectory of cognitive performance between these diagnostic subgroups.

Cognitive impairment is a widespread feature of schizophrenia, affecting nearly 80 % of patients. Prior research has linked the anticholinergic burden of psychiatric medications to these cognitive deficits. However, the impact of the anticholinergic burden from medications for physical morbidity remains underexplored. This study aimed to evaluate the anticholinergic burden of psychiatric and physical medications in patients with schizophrenia and assess its impact on cognitive function.

Aberrant attentional salience has been implicated in the cannabis-psychosis association. Here, history and frequency of cannabis use were examined against changes in overshadowing (OS), a cue competition paradigm that involves salience processing. Additionally, we examined the association between OS and alternative measures of aberrant salience, as well as schizotypy, in a non-clinical adult sample. 280 participants completed an online geometry learning-based OS task, while a subset ( = 149) also completed the Salience Attribution Task (SAT) measure of aberrant salience. All completed the Schizotypal Personality Questionnaire (SPQ), Aberrant Salience Inventory (ASI), and the modified Cannabis Experience Questionnaire (CEQmv). Differences across OS and SAT performance stages and between cannabis use groups were assessed using mixed ANOVAs. Multiple regression and correlational analyses assessed the relationships between OS and SAT task metrics and SPQ and ASI subscale scores. Current cannabis users had significantly lower OS scores during the testing phase relative to those who do not use cannabis, at medium effect sizes. Schizotypy or ASI scores did not mediate this relationship. In the SAT, current cannabis users presented significantly higher implicit aberrant salience relative to non-users. Scores in the first training phase of the OS task significantly predicted higher explicit aberrant and adaptive salience scores in the SAT. These data indicate an association between regular cannabis use and abnormalities in cue competition effects in a healthy adult sample. Comparisons of OS and SAT cast new light on putative overlapping mechanisms underlying performance across different measures of salience.

Schizophrenia spectrum disorders (SSD) are associated with pervasive cognitive impairments, including deficits in decision-making under risk. However, there is inconclusive evidence regarding specific mechanisms underlying altered decision-making patterns. In this study, participants (33 SSD and 28 non-SSD) completed the Columbia Card Task, an explicit risk-taking task, to better understand risk preference and adjustment in dynamic decision-making. We found that while there is no group difference in overall risk-taking, risk preference, or optimal decision-making, risk adjustment to contextual factors (e.g., loss probability) is blunted in SSD. We also found associations between risk-taking/suboptimal decision-making and disorganized symptoms, excited symptoms, and role functioning, but no associations between decision-making and working memory. These results suggest that during a complex, dynamic risk-taking task, individuals with SSD exhibit less adaption to changing information about risk, which may reflect risk imperception.

Both overweight and cognitive deficits are common among people with schizophrenia (SZ) and schizoaffective disorder. The results in earlier studies have been inconsistent on whether overweight is associated with cognitive deficits in psychotic disorders.

Deficits in facial identity recognition and its association with poor social functioning are well documented in schizophrenia, but none of these studies have assessed the role of the body in these processes. Recent research in healthy populations shows that the body is also an important source of information in identity recognition, and the current study aimed to thoroughly examine identity recognition from both faces and bodies in schizophrenia. Sixty-five individuals with schizophrenia and forty-nine healthy controls completed three conditions of an identity matching task in which they attempted to match unidentified persons in unedited photos of faces and bodies, edited photos showing faces only, or edited photos showing bodies only. Results revealed global deficits in identity recognition in individuals with schizophrenia (η = 0.068), but both groups showed better recognition from bodies alone as compared to faces alone (η = 0.573), suggesting that the ability to extract useful information from bodies when identifying persons may remain partially preserved in schizophrenia. Further research is necessary to understand the relationship between face/body processing, identity recognition, and functional outcomes in individuals with schizophrenia-spectrum disorders.

Although schizophrenia patients exhibit structural abnormalities in the striatum, it remains largely unknown for the role of the striatum subregions in the treatment response of antipsychotic drugs. The purpose of this study was to investigate the associations between the striatal subregions and improved clinical symptoms in first-episode drug-naïve (FEDN) schizophrenia. Forty-two FEDN schizophrenia patients and 29 healthy controls (HCs) were recruited. At baseline, the Positive and Negative Syndrome Scale (PANSS) was used to assess the clinical symptoms of patients, MRI scanner was used to obtain anatomical images of patients and HCs. After 12-week stable doses of risperidone treatment, clinical symptoms were obtained in 38 patients and anatomical images in 26 patients. After 12 weeks of treatment, the left nucleus accumbens volume decreased, whereas the left pallidum volume increased in schizophrenia patients. The decreased left nucleus accumbens volume was positively correlated with cognitive factor improvement measured by PANSS. Intriguingly, greater left nucleus accumbens volume at baseline predicted greater cognitive improvements. Furthermore, the responders who had >50 % improvement in cognitive symptoms exhibited significantly greater baseline left nucleus accumbens volume compared to non-responders. The left striatum volume at baseline and after treatment predicted the cognitive improvements in FEDN schizophrenia, which could be a potential biomarker for the development of precision medicine approaches targeting cognitive function.