Background: The MATRICS consensus cognitive battery (MCCB) has been widely used to evaluate cognitive deficits in schizophrenia (SCZ), however, no study has formally examined the validity of the MCCB in Chinese SCZ. This study compared Chinese SCZ patients with healthy Chinese controls on the MCCB and some additional neurocognitive tests to determine if the Chinese MCCB is an optimal battery to assess the cognitive deficits in Chinese SCZ patients.
Method: The study enrolled and examined 230 patients met DSM-IV criteria for SCZ and 656 healthy controls matched for gender, age and education. Besides the MCCB, we also included some additional neurocognitive tests that have been widely used in patients with schizophrenia. We selected MCCB and non-MCCB tests with large effect size, to assemble a new "optimal battery" and compared its performance with that of the standard MCCB.
Results: Comparing the putative "optimal" battery with the original MCCB, more patients with SCZ were identified as cognitively impaired according to the criteria of GDS ≥ 0.50 for the optimal battery (166 vs 135, or 72.2% vs 58.7%). The rate of cognitive impairment according to MCCB GDS in patients with SCZ who were currently working, ever worked and never worked are 45.5%, 61.6% and 70.8% (p = 0.051), whereas the optimal battery GDS showed 56.4%, 74.8%, 91.7% (p = 0.003), respectively.
Conclusions: Our study needs validation with independent samples but suggests that the current "optimal" cognitive battery could be more sensitive than the widely used MCCB in detecting SCZ related cognitive impairment in China.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544499 | PMC |
| http://dx.doi.org/10.1016/j.schres.2019.01.034 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Causal associations between immune cells and psychiatric disorders: a bidirectional mendelian randomization analysis.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Graduate School of PLA Medical College, Chinese PLA General Hospital and PLA Medical College, 28 Fu Xing Road, Beijing, 100083, China.
Extensive researches illuminate a potential interplay between immune traits and psychiatric disorders. However, whether there is the causal relationship between the two remains an unresolved question. We conducted a two-sample bidirectional mendelian randomization by utilizing summary data of 731 immune cell traits from genome-wide association studies (GCST90001391-GCST90002121)) and 11 psychiatric disorders including attention deficit/hyperactivity disorder (ADHD), anxiety disorder, autism spectrum disorder (ASD), bipolar disorder (BIP), anorexia nervosa (AN), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), Tourette syndrome (TS), post-traumatic stress disorder (PTSD), schizophrenia (SCZ), and substance use disorders (cannabis) (SUD) from the Psychiatric Genomics Consortium (PGC).
View Article and Find Full Text PDFTargeting the gut microbiota-inflammation-brain axis as a potential therapeutic strategy for psychiatric disorders: A Mendelian randomization analysis.
J Affect Disord
January 2025
School of Nursing, Guangzhou Medical University, Guangzhou, Guangdong Province, China. Electronic address:
Background: Extensive research indicates a link between gut microbiota dysbiosis and psychiatric disorders. However, the causal relationships between gut microbiota and different types of psychiatric disorders, as well as whether inflammatory factors mediate these relationships, remain unclear.
Methods: We utilized summary statistics from the largest genome-wide association studies to date for gut microbiota (n = 18,340 in MiBioGen consortium), circulating inflammatory factors (n = 8293 for 41 factors and n = 14,824 for 91 factors in GWAS catalog), and six major psychiatric disorders from the Psychiatric Genomics Consortium (PGC): attention deficit hyperactivity disorder (ADHD, n = 38,691), anxiety disorder (ANX, n = 2248), bipolar disorder (BIP, n = 41,917), anorexia nervosa (AN, n = 16,992), schizophrenia (SCZ, n = 36,989), and autism spectrum disorder (ASD, n = 18,381).
Interaction between serum inflammatory cytokines and brain-derived neurotrophic factor in cognitive function among first-episode schizophrenia patients.
World J Psychiatry
December 2024
Department of Psychiatry, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Huzhou 313000, Zhejiang Province, China.
Background: The pathogenesis of cognitive impairment in schizophrenia (SCZ) remains unclear. Accumulating studies showed that inflammatory-immune dysregulation and altered brain derived neurotrophic factor (BDNF) levels play a crucial role in the psychopathology of SCZ. However, their association with cognitive dysfunction in first-episode SCZ patients has not been thoroughly investigated.
View Article and Find Full Text PDFAssociation between cognitive function, antioxidants, and clinical variables in Chinese patients with schizophrenia.
BMC Psychiatry
December 2024
Department of Psychiatry, Guangzhou Civil Affairs Bureau Psychiatric Hospital, Guangzhou, 510430, China.
Objective: Cognitive dysfunction is a prevalent and intricate manifestation of schizophrenia (SCZ) that may be associated with distinct clinical factors and the presence of antioxidants, which relationship is unclear. The study aimed to investigate cognitive function and its influencing factors in Chinese patients with SCZ.
Methods: A group of 133 patients with SCZ and 120 healthy controls (HCs) were recruited.
Disorder-specific neurodynamic features in schizophrenia inferred by neurodynamic embedded contrastive variational autoencoder model.
Transl Psychiatry
December 2024
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Neurodynamic models that simulate how micro-level alterations propagate upward to impact macroscopic neural circuits and overall brain function may offer valuable insights into the pathological mechanisms of schizophrenia (SCZ). In this study, we integrated a neurodynamic model with the classical Contrastive Variational Autoencoder (CVAE) to extract and evaluate macro-scale SCZ-specific features, including subject-level, region-level parameters, and time-varying states. Firstly, we demonstrated the robust fitting of the model within our multi-site dataset.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!