scholarly journals Corrigendum to: A Network of Psychopathological, Cognitive, and Motor Symptoms in Schizophrenia Spectrum Disorders

2021 ◽  
Author(s):  
Bernardo Melo Moura ◽  
Geeske van Rooijen ◽  
Frederike Schirmbeck ◽  
Johanna T W Wigman ◽  
Therese van Amelsvoort ◽  
...  
Keyword(s):  
Motor Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals Handwriting movements for assessment of motor symptoms in schizophrenia spectrum disorders and bipolar disorder

PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213657 ◽  
Author(s):  
Yasmina Crespo ◽  
Antonio Ibañez ◽  
María Felipa Soriano ◽  
Sergio Iglesias ◽  
Jose Ignacio Aznarte
Keyword(s):  
Bipolar Disorder ◽  
Motor Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals A Network of Psychopathological, Cognitive, and Motor Symptoms in Schizophrenia Spectrum Disorders

2021 ◽  
Author(s):  
Bernardo Melo Moura ◽  
Geeske van Rooijen ◽  
Frederike Schirmbeck ◽  
Hanneke Wigman ◽  
Luís Madeira ◽  
...  
Keyword(s):  
Total Sample ◽  
Motor Symptoms ◽  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum ◽  
Network Communities ◽  
Syndrome Scale ◽  
Spectrum Disorders ◽  
Negative Syndrome ◽  
Core Features

Abstract Schizophrenia spectrum disorders (SSDs) are complex syndromes involving psychopathological, cognitive, and also motor symptoms as core features. A better understanding of how these symptoms mutually impact each other could translate into diagnostic, prognostic, and, eventually, treatment advancements. The present study aimed to: (1) estimate a network model of psychopathological, cognitive, and motor symptoms in SSD; (2) detect communities and explore the connectivity and relative importance of variables within the network; and (3) explore differences in subsample networks according to remission status. A sample of 1007 patients from a multisite cohort study was included in the analysis. We estimated a network of 43 nodes, including all the items from the Positive and Negative Syndrome Scale, a cognitive assessment battery and clinical ratings of extrapyramidal symptoms. Methodologies specific to network analysis were employed to address the study’s aims. The estimated network for the total sample was densely interconnected and organized into 7 communities. Nodes related to insight, abstraction capacity, attention, and suspiciousness were the main bridges between network communities. The estimated network for the subgroup of patients in remission showed a sparser density and a different structure compared to the network of nonremitted patients. In conclusion, the present study conveys a detailed characterization of the interrelations between a set of core clinical elements of SSD. These results provide potential novel clues for clinical assessment and intervention.

Screening Adolescents for Schizophrenia-Spectrum Disorders

2000 ◽  
Author(s):  
B. Cornblatt ◽  
M. Obuchowski ◽  
S. Roberts ◽  
S. Pollack ◽  
L. Erienmeyer-Kimling
Keyword(s):  
Schizophrenia Spectrum Disorders ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

Sleep and cognition in schizophrenia spectrum disorders: A systematic review protocol.

2020 ◽  
Author(s):  
Sean Carruthers ◽  
Gemma Brunetti ◽  
Susan Rossell
Keyword(s):  
Systematic Review ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Systematic Review Protocol ◽  
Schizophrenia Spectrum Disorder ◽  
Schizophrenia Spectrum ◽  
Review Protocol ◽  
Spectrum Disorders ◽  
Sleep And Cognition ◽  
The Relationship

Schizophrenia spectrum disorders are chronic and debilitating mental illnesses characterised by both cognitive impairments and sleep deficits. In this systematic review protocol, we outline an approach to examine the available literature investigating the relationship between sleep and cognition in individuals with schizophrenia spectrum disorder.

scholarly journals Randomised controlled trial of Compensatory Cognitive Training and a Computerised Cognitive Remediation programme

Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Frances Dark ◽  
Ellie Newman ◽  
Victoria Gore-Jones ◽  
Veronica De Monte ◽  
Marta I. Garrido ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Randomised Controlled Trial ◽  
Outcome Measures ◽  
Cognitive Training ◽  
Controlled Trial ◽  
Schizophrenia Spectrum Disorders ◽  
Cognitive Interventions ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Randomised Controlled

Abstract Background Compensation and adaptation therapies have been developed to improve community functioning via improving neurocognitive abilities in people with schizophrenia. Various modes of delivering compensation and adaptation therapies have been found to be effective. The aim of this trial is to compare two different cognitive interventions, Compensatory Cognitive Training (CCT) and Computerised Interactive Remediation of Cognition–Training for Schizophrenia (CIRCuiTS). The trial also aims to identify if mismatch negativity (MMN) can predict an individual’s response to the compensation and adaptation programmes. Methods This study will use a randomised, controlled trial of two cognitive interventions to compare the impact of these programmes on measures of neurocognition and function. One hundred clinically stable patients aged between 18 and 65 years with a diagnosis of a schizophrenia spectrum disorder will be recruited. Participants will be randomised to either the CCT or the CIRCuiTS therapy groups. The outcome measures are neurocognition (BACS), subjective sense of cognitive impairment (SSTICS), social functioning (SFS), and MMN (measured by EEG) in people with schizophrenia spectrum disorders. Discussion This trial will determine whether different approaches to addressing the cognitive deficits found in schizophrenia spectrum disorders are of comparable benefit using the outcome measures chosen. This has implications for services where cost and lack of computer technology limit the implementation and dissemination of interventions to address cognitive impairment in routine practice. The trial will contribute to the emerging evidence of MMN as a predictor of response to cognitive interventions. Trial registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12618000161224. Registered on 2 February 2018. Protocol version: 4.0, 18 June 2018.

scholarly journals Empathy and perceived burden in caregivers of patients with schizophrenia spectrum disorders

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Rosaria Di Lorenzo ◽  
Anna Girone ◽  
Nunzio Panzera ◽  
Gianluca Fiore ◽  
Margherita Pinelli ◽  
...  
Keyword(s):  
Local Community ◽  
Mental Health Center ◽  
Clinical Severity ◽  
Schizophrenia Spectrum Disorders ◽  
Cronbach’S Alpha ◽  
Emotional Empathy ◽  
Cronbach's Alpha ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders ◽  
Spearman Test

Abstract Background Caregivers of patients load different kinds of burdens, including emotional distress. Aims of this study were to evaluate both burden and empathy of caregivers who assist patients with schizophrenia spectrum disorders. Methods We selected a sample of 60 caregivers (34 women and 26 men), who assisted patients with schizophrenia spectrum disorders treated in our local Community Mental Health Center for a 1-year minimum period. We administered two scales to our sample, Zarit Burden Interview (ZBI) and Balanced Emotional Empathy Scale (BEES), and collected data of caregivers and their assisted patients in a 3-month period. Data were statistically analyzed. Results We reported a mean ZBI score of 49.68 (±15.03 SD) and a mean BEES score of 14.35 (±9.05 SD), indicating the perception of moderate-severe burden and low level of empathy, respectively. The analysis of internal consistency confirmed the good reliability of both ZBI (Cronbach’s alpha = 0.90) and BEES (Cronbach’s alpha = 0.77). The correlation between the two scales was not statistically significant at Spearman test. At our multiple linear regression, many variables of both caregiver and patient showed a significant correlation with the ZBI score. In particular, not living with the assisted patient and female gender of caregiver potentially decreased the burden, whereas clinical severity of assisted patient and two caregiver conditions, middle school education and spouse relationship with patient, could worsen the burden. We highlighted two positive statistically significant correlations between the total score of BEES and caregiver characteristics: being spouse and not living with assisted patient. Conclusions Our study highlights that the caregiver burden of patients with severe psychiatric disorders is high and is associated with low emotional empathy experienced by caregivers, probably due to a defensive psychological mechanism. The conditions of spouse and cohabitation can concomitantly increase both empathy and burden in caregivers.

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