The aim of this study was to investigate the characteristics of cognitive function damage in chronic schizophrenia patients with metabolic syndrome (MS); 388 patients were divided into two groups: MS group (180 people with schizophrenia and MS) and non-MS group (208 people with schizophrenia but without MS). The Positive and Negative Syndrome Scale (PANSS) and the Treatment Emergent Symptom Scale (TESS) were used to evaluate clinical symptoms and drug adverse reaction. The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) was used to assess cognitive function. There was no significant change in PANSS (p = 0.53) and TESS score (p = 0.26) between the MS group and the non-MS group. However, RBANS total scale score as well as attention, immediate memory, and delayed memory scores in the MS group were significantly lower than those in the non-MS group (p < 0.05). There was no significant change in visuospatial skill (p = 0.07) and language scores (p = 0.08) between the two groups. Besides, course of disease, triglyceride, antipsychotic drug type, systolic pressure, negative symptom factor, and education level showed a notable significance for cognitive function damage in turn. MS might aggravate injury of cognitive function in chronic schizophrenia, especially in immediate memory, delayed memory, and attention.
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http://dx.doi.org/10.1097/NMD.0000000000000124 | DOI Listing |
Acta Neuropsychiatr
January 2025
IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Objective: Time distortions characterise severe mental disorders, exhibiting different clinical and neurobiological manifestations. This systematic review aims to explore the existing literature encompassing experimental studies on time perception in patients with bipolar disorder (BD), considering psychopathological and cognitive correlates.
Methods: Studies using an experimental paradigm to objectively measure the capacity to judge time have been searched for.
Health Inf Sci Syst
December 2025
School of Mathematics and Computing, University of Southern Queensland, 487-535 West Street, Toowoomba, QLD 4350 Australia.
Purpose: This paper aims to develop a three-dimensional (3D) Alzheimer's disease (AD) prediction method, thereby bettering current predictive methods, which struggle to fully harness the potential of structural magnetic resonance imaging (sMRI) data.
Methods: Traditional convolutional neural networks encounter pressing difficulties in accurately focusing on the AD lesion structure. To address this issue, a 3D decoupling, self-attention network for AD prediction is proposed.
Front Neurol
January 2025
Department of Rehabilitation Sciences, Neurorehabilitation Research Group (eNRGy), KU Leuven, Leuven, Belgium.
Introduction: Freezing of gait (FOG) is a disabling symptom for people with Parkinson's disease (PwPD). Turning on the spot for one minute in alternating directions (360 turn) while performing a cognitive dual-task (DT) is a fast and sensitive way to provoke FOG. The FOG-index is a widely used wearable sensor-based algorithm to quantify FOG severity during turning.
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January 2025
Department of Neurology, Massachusetts General Hospital, Charlestown, MA, United States.
White matter hyperintensities (WMHs) are commonly detected on T2-weighted magnetic resonance imaging (MRI) scans, occurring in both typical aging and Alzheimer's disease (AD). Despite their frequent appearance and their association with cognitive decline in AD, the molecular factors contributing to WMHs remain unclear. In this study, we investigated the transcriptomic profiles of two commonly affected brain regions with coincident AD pathology-frontal subcortical white matter (frontal-WM) and occipital subcortical white matter (occipital-WM)-and compared with age-matched cognitively intact controls.
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January 2025
Department of Rehabilitation Medicine, Northern Jiangsu People's Hospital, Yangzhou, China.
Objective: This study aims to observe the effect of enrichment rehabilitation (ER) on cognitive function in post-stroke patients and to clarify its underlying mechanism.
Methods: Forty patients with post-stroke cognitive impairment (PSCI) meeting the inclusion criteria were randomly assigned to two groups: conventional medical rehabilitation (CM group) and ER intervention (ER group). All patients underwent assessments of overall cognitive function, attention function, and executive function within 24 h before the start of training and within 24 h after the 8 weeks of training.
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