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引用本文的文献

1
Neural basis of false recognition in Alzheimer's disease and dementia with lewy bodies.阿尔茨海默病和路易体痴呆症中虚假识别的神经基础。
Sci Rep. 2024 Sep 12;14(1):21290. doi: 10.1038/s41598-024-71440-0.

阿尔茨海默病中虚假记忆与妄想的关系。

Association Between False Memories and Delusions in Alzheimer Disease.

机构信息

Division of Psychiatry, University College London, London, United Kingdom.

Dementia Research Centre, University College London, London, United Kingdom.

出版信息

JAMA Psychiatry. 2023 Jul 1;80(7):700-709. doi: 10.1001/jamapsychiatry.2023.1012.

DOI:10.1001/jamapsychiatry.2023.1012
PMID:37223934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10209823/
Abstract

IMPORTANCE

Understanding the mechanisms of delusion formation in Alzheimer disease (AD) could inform the development of therapeutic interventions. It has been suggested that delusions arise as a consequence of false memories.

OBJECTIVE

To investigate whether delusions in AD are associated with false recognition, and whether higher rates of false recognition and the presence of delusions are associated with lower regional brain volumes in the same brain regions.

DESIGN, SETTING, AND PARTICIPANTS: Since the Alzheimer's Disease Neuroimaging Initiative (ADNI) launched in 2004, it has amassed an archive of longitudinal behavioral and biomarker data. This cross-sectional study used data downloaded in 2020 from ADNI participants with an AD diagnosis at baseline or follow-up. Data analysis was performed between June 24, 2020, and September 21, 2021.

EXPOSURE

Enrollment in the ADNI.

MAIN OUTCOMES AND MEASURES

The main outcomes included false recognition, measured with the 13-item Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog 13) and the Rey Auditory Verbal Learning Test (RAVLT) and volume of brain regions corrected for total intracranial volume. Behavioral data were compared for individuals with delusions in AD and those without using independent-samples t tests or Mann-Whitney nonparametric tests. Significant findings were further explored using binary logistic regression modeling. For neuroimaging data region of interest analyses using t tests, Poisson regression modeling or binary logistic regression modeling and further exploratory, whole-brain voxel-based morphometry analyses were carried out to explore the association between regional brain volume and false recognition or presence of delusions.

RESULTS

Of the 2248 individuals in the ADNI database, 728 met the inclusion criteria and were included in this study. There were 317 (43.5%) women and 411 (56.5%) men. Their mean (SD) age was 74.8 (7.4) years. The 42 participants with delusions at baseline had higher rates of false recognition on the ADAS-Cog 13 (median score, 3; IQR, 1 to 6) compared with the 549 control participants (median score, 2; IQR, 0 to 4; U = 9398.5; P = .04). False recognition was not associated with the presence of delusions when confounding variables were included in binary logistic regression models. An ADAS-Cog 13 false recognition score was inversely associated with left hippocampal volume (odds ratio [OR], 0.91 [95% CI, 0.88-0.94], P < .001), right hippocampal volume (0.94 [0.92-0.97], P < .001), left entorhinal cortex volume (0.94 [0.91-0.97], P < .001), left parahippocampal gyrus volume (0.93 [0.91-0.96], P < .001), and left fusiform gyrus volume (0.97 [0.96-0.99], P < .001). There was no overlap between locations associated with false recognition and those associated with delusions.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study, false memories were not associated with the presence of delusions after accounting for confounding variables, and no indication for overlap of neural networks for false memories and delusions was observed on volumetric neuroimaging. These findings suggest that delusions in AD do not arise as a direct consequence of misremembering, lending weight to ongoing attempts to delineate specific therapeutic targets for treatment of psychosis.

摘要

重要性

了解阿尔茨海默病(AD)中妄想形成的机制可以为治疗干预措施的发展提供信息。有人认为,妄想是虚假记忆的结果。

目的

研究 AD 中的妄想是否与错误识别有关,以及更高的错误识别率和妄想的存在是否与同一脑区的脑体积减少有关。

设计、地点和参与者:自 2004 年阿尔茨海默病神经影像学倡议(ADNI)启动以来,它已经积累了大量的纵向行为和生物标志物数据档案。这项横断面研究使用 2020 年从 ADNI 参与者中下载的数据,这些参与者在基线或随访时有 AD 诊断。数据分析于 2020 年 6 月 24 日至 2021 年 9 月 21 日进行。

暴露

参加 ADNI。

主要结果和措施

主要结果包括错误识别,通过阿尔茨海默病评估量表认知子量表(ADAS-Cog 13)和 Rey 听觉言语学习测试(RAVLT)测量,以及校正总颅内体积的脑区体积。使用独立样本 t 检验或曼-惠特尼非参数检验比较 AD 患者中存在和不存在妄想的个体的行为数据。对有意义的发现使用二元逻辑回归模型进一步探讨。对于神经影像学数据,使用 t 检验、泊松回归模型或二元逻辑回归模型进行感兴趣区域分析,并进一步进行探索性全脑基于体素形态学分析,以探讨脑区体积与错误识别或妄想存在之间的关系。

结果

在 ADNI 数据库中的 2248 个人中,有 728 人符合纳入标准并纳入本研究。其中 317 人(43.5%)为女性,411 人(56.5%)为男性。他们的平均(SD)年龄为 74.8(7.4)岁。42 名基线时有妄想的参与者在 ADAS-Cog 13 上的错误识别率较高(中位数分数,3;IQR,1 至 6),而 549 名对照参与者的中位数分数为 2;IQR,0 至 4;U=9398.5;P=0.04)。当纳入二元逻辑回归模型的混杂变量时,错误识别与妄想的存在无关。ADAS-Cog 13 错误识别评分与左侧海马体体积呈负相关(比值比 [OR],0.91 [95%CI,0.88-0.94],P<0.001),右侧海马体体积(0.94 [0.92-0.97],P<0.001),左侧内嗅皮层体积(0.94 [0.91-0.97],P<0.001),左侧旁海马回体积(0.93 [0.91-0.96],P<0.001),和左侧梭状回体积(0.97 [0.96-0.99],P<0.001)。错误识别与妄想之间没有重叠的位置。

结论和相关性

在这项横断面研究中,在考虑混杂变量后,错误记忆与妄想的存在无关,在体积神经影像学上也没有观察到错误记忆和妄想的神经网络重叠的迹象。这些发现表明,AD 中的妄想不是直接由错误记忆引起的,这为正在进行的尝试为治疗精神病划定特定的治疗目标提供了依据。