Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
PLoS One. 2018 May 15;13(5):e0197004. doi: 10.1371/journal.pone.0197004. eCollection 2018.
Both amnestic mild cognitive impairment (aMCI) and schizophrenia, in particular deficit schizophrenia, are accompanied by cognitive impairments. The aim of the present study was to examine the cognitive differences between aMCI and (non)deficit schizophrenia.
Towards this end we recruited 60 participants with aMCI, 40 with deficit and 40 with nondeficit schizophrenia and 103 normal volunteers. Cognitive measures were assessed with the Consortium to Establish a Registry for Alzheimer's disease (CERAD) using the Verbal Fluency Test (VFT), Boston Naming Test (BNT), Mini-Mental State Examination (MMSE), Word list memory (WLM), Word list recall (WLRecall) and Word list recognition (WLRecognition). Data were analyzed using multivariate analyses and machine learning techniques.
BNT scores were significantly lower in aMCI as compared with nondeficit schizophrenia. Patients with deficit schizophrenia had significantly lower MMSE, WLM, WL True Recall and WL Recognition than aMCI patients, while WL False Recall was significantly higher in deficit schizophrenia than in aMCI. Neural network importance charts show that deficit and nondeficit schizophrenia are best separated from aMCI using total BNT score, while WLM and WL false Recall follow at a distance.
Patients with schizophrenia and aMCI have a significantly different neurocognitive profile. Memory impairments, especially in episodic memory, are significantly worse in younger patients with deficit schizophrenia as compared with elderly patients with aMCI, while the latter show more dysnomia than patients with schizophrenia.
遗忘型轻度认知障碍(aMCI)和精神分裂症,特别是缺陷型精神分裂症,均伴有认知障碍。本研究旨在探讨 aMCI 与(非)缺陷型精神分裂症之间的认知差异。
为此,我们招募了 60 名 aMCI 患者、40 名缺陷型精神分裂症患者、40 名非缺陷型精神分裂症患者和 103 名正常志愿者。认知评估采用 Consortium to Establish a Registry for Alzheimer's disease(CERAD)采用词语流畅性测试(VFT)、波士顿命名测试(BNT)、简易精神状态检查(MMSE)、单词列表记忆(WLM)、单词列表回忆(WLRecall)和单词列表识别(WLRecognition)。使用多元分析和机器学习技术进行数据分析。
与非缺陷型精神分裂症相比,aMCI 患者的 BNT 评分显著降低。缺陷型精神分裂症患者的 MMSE、WLM、WL 真实回忆和 WL 识别明显低于 aMCI 患者,而 WL 虚假回忆明显高于 aMCI 患者。神经网络重要性图表显示,使用总 BNT 评分可最佳地区分缺陷型和非缺陷型精神分裂症与 aMCI,而 WLM 和 WL 虚假回忆紧随其后。
精神分裂症和 aMCI 患者的神经认知特征存在显著差异。与老年 aMCI 患者相比,年轻的缺陷型精神分裂症患者的记忆障碍,尤其是情景记忆障碍更为严重,而后者的命名障碍比精神分裂症患者更为明显。