阿尔茨海默病和主观认知障碍患者的冷漠和基于努力的决策。

IF 4 Q1 CLINICAL NEUROLOGY
Bahaaeddin Attaallah, Sofia Toniolo, Maria Raquel Maio, Masud Husain
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引用次数: 0

摘要

简介:冷漠是阿尔茨海默病(AD)和主观认知障碍(SCI)的重要特征,但其机制尚未确定:冷漠是阿尔茨海默病(AD)和主观认知障碍(SCI)的一个重要特征,但其机制尚未明确:方法:采用基于努力的决策(EBDM)框架研究了 30 名阿尔茨海默病患者、41 名 SCI 参与者和 55 名健康对照者(HC)的冷漠症。采用漂移-扩散模型(DDM)对数据进行分析,以发现潜在的心理过程:结果:SCI 参与者报告的冷漠程度高于 AD 患者和 HC。然而,AD 患者的信息提供者报告的冷漠程度要高于自我报告,而且与 HC 相比,AD 患者的冷漠程度明显更高。注意力缺失症患者和 SCI 组都显示出对努力变化的敏感性降低,这与注意力缺失症患者的执行功能障碍和 SCI 患者的冷漠有关。在SCI患者中,大脑皮层与伏隔核(NA)的静息功能连接性增加与更高的冷漠度有关:讨论:这些结果突显了EBDM在AD和SCI中的类似破坏,与AD的执行功能和SCI的冷漠有不同的关系:这是第一项使用基于努力的决策(EBDM)框架调查阿尔茨海默病(AD)和主观认知障碍(SCI)患者冷漠症的研究。与线人报告和健康对照(HC)相比,AD 患者的自我报告低估了冷漠症。AD患者和SCI患者对努力的敏感性都有所降低。对努力的敏感性降低与AD患者的执行功能障碍和SCI患者的冷漠相关,但与抑郁无关。结果表明,虽然注意力缺失症(AD)和注意力缺失症(SCI)在EBDM方面可能存在相似的缺陷,但这些缺陷与不同的临床表现相关:注意力缺失症(AD)的执行功能障碍和注意力缺失症(SCI)的冷漠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Apathy and effort-based decision-making in Alzheimer's disease and subjective cognitive impairment.

Introduction: Apathy is a significant feature in Alzheimer's disease (AD) and subjective cognitive impairment (SCI), though its mechanisms are not well established.

Methods: An effort-based decision-making (EBDM) framework was applied to investigate apathy in 30 AD patients, 41 SCI participants, and 55 healthy controls (HC). Data were analyzed using a drift-diffusion model (DDM) to uncover latent psychological processes.

Results: SCI participants reported higher apathy than AD patients and HC. However, informant reports of apathy in AD patients were higher than self-reports and indicated significant apathy compared to HC. Both the AD and SCI groups showed reduced sensitivity to effort changes, linked to executive dysfunction in AD and apathy in SCI. Increased resting functional cortical connectivity with the nucleus accumbens (NA) was associated with higher apathy in SCI.

Discussion: These results highlight a similar disruption of EBDM in AD and SCI, differentially related to executive functioning in AD and apathy in SCI.

Highlights: This is the first study investigating apathy using an effort-based decision-making (EBDM) framework in Alzheimer's disease (AD) and subjective cognitive impairment (SCI).Self-reports underestimate apathy in AD patients when compared to informant reports and healthy controls (HC). SCI participants, in whom self and informant reports were more concordant, also showed higher degrees of apathy.Both AD and SCI groups showed reduced sensitivity to effort.Reduced sensitivity to effort correlates with executive dysfunction in AD and apathy, but not depression, in SCI.Increased nucleus accumbens (ventral striatum) connectivity with the frontoparietal network was associated with higher apathy scores in SCI.The results thus suggest that while AD and SCI can have similar deficits in EBDM, these deficits correlate with distinct clinical manifestations: executive dysfunction in AD and apathy in SCI.

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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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