基于体素的形态计量学
灰质
心理学
精神病
听力学
神经心理学
体素
人口
精神分裂症(面向对象编程)
口语流利性测试
认知灵活性
丘脑
神经科学
脑岛
认知
精神科
白质
医学
磁共振成像
环境卫生
放射科
作者
Lies Van Assche,Akihiro Takamiya,Jan Van den Stock,Luc Van de Ven,Patrick Luyten,Louise Emsell,Mathieu Vandenbulcke
标识
DOI:10.1017/s0033291723002258
摘要
Abstract Background Very-late-onset schizophrenia-like psychosis (VLOSLP) is associated with significant burden. Its clinical importance is increasing as the global population of older adults rises, yet owing to limited research in this population, the neurobiological underpinnings of VLOSP remain insufficiently clarified. Here we address this knowledge gap using novel morphometry techniques to investigate grey matter volume (GMV) differences between VLOSLP and healthy older adults, and their correlations with neuropsychological scores. Methods In this cross-sectional study, we investigated whole-brain GMV differences between 35 individuals with VLOSLP (mean age 76.7, 26 female) and 36 healthy controls (mean age 75.7, 27 female) using whole-brain voxel-based morphometry (VBM) and supplementary source-based morphometry (SBM) on high resolution 3D T1-weighted MRI images. Additionally, we investigated relationships between GMV differences and cognitive function assessed with an extensive neuropsychological battery. Results VBM showed lower GMV in the thalamus, left inferior frontal gyrus and left insula in patients with VLOSLP compared to healthy controls. SBM revealed lower thalamo-temporal GMV in patients with VLOSLP. Processing speed, selective attention, mental flexibility, working memory, verbal memory, semantic fluency and confrontation naming were impaired in patients with VLOSLP. Correlations between thalamic volumes and memory function were significant within the group of individuals with VLOSLP, whereas no significant associations remained in the healthy controls. Conclusions Lower GMV in the thalamus and fronto-temporal regions may be part of the underlying neurobiology of VLOSLP, with lower thalamic GMV contributing to memory impairment in the disorder.
科研通智能强力驱动
Strongly Powered by AbleSci AI