Horizon CDT Year 1

地平线 CDT 第 1 年

• 批准号: 2887439
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2887439
• 关键词: Horizon; CDT; Year

In 2020, the global prevalence of dementia exceeded 55 million individuals (World Health Organization, 2024). Research has found that having a Mild Cognitive Impairment (MCI) is a precursor of dementia (Janoutová et al., 2015) and that the medial temporal lobe is one of the first to deteriorate with Alzheimer's disease (Pasquini et al., 2019). Dementia impacts wellbeing. Detecting dementia not only enables the patient to live a better life but also lessens the burden on the NHS. Nonetheless, there is an eight-year time frame where the risk of dementia developing from MCI is high (Dang et al., 2019). Therefore, this PhD aims to forecast cognitive decline specifically in individuals with MCI, rather than dementia.Previous research has shown that a task may be able to predict the likelihood of developing dementia from MCI (Zola et al., 2013). However, this task is ambiguous as there are suggested two memory processes which are self- and retrieval-generated priming (Wagner, 1981) and both could be operating within this task. One study with healthy participants has shown evidence of this theory by manipulating times and finding different effects on relative recency and objects in place (Nitka et al., 2020). This reflects self- and retrieval-generated priming and distinguishes them. My PhD aims to explore a similar task as there were limitations of Nitka et al's (2020) task for example the images used were all easy to verbally distinguish (e.g. violin and hand), which means it could be testing verbal memory as well as recognition memory. Therefore, one of my studies will explore a similar task to this with healthy individuals however the 6 images within each trial will be more similar (e.g. in one trial all of the 6 images will be of the moon). Hence, this study will assess whether self- and retrieval-generated priming can be more accurately measured through relative recency and object-in-place. This approach offers a purer gauge of recognition memory compared to prior methods, particularly considering the increased difficulty in verbally discriminating the images.The potential following study could explore whether this computerised task could predict cognitive decline in individuals with MCIs. The use of relative recency and object-in-place may detect a selective deficit. This would mean that this task would presumably be more sensitive to a decline in cognitive performance compared to previous studies because a single affected form of priming could be compensated by the other form. In order to conduct this research, I will administer the ACE-3 with the task and again one year later to measure their cognitive function and decline.Additionally, this research may explore the eye movement data from the eye trackers to predict cognitive decline in individuals with MCI. As previous research found individuals with Alzheimer's disease have different eye movement data compared to healthy controls (Pereira et al., 2014). If the results are significant, this task could be utilised within GP settings to help medical staff and the patient know who is at risk of cognitive decline in the next year. Earlier detection would allow timely interventions and enrolment into clinical trials when treatments are most effective at slowing progression.

2020年，全球痴呆症患病率超过5500万个人（世界卫生组织，2024年）。研究发现，患有轻度认知障碍（MCI）是痴呆症的先驱（Janoutová等，2015），并且内侧临时叶是最早患有阿尔茨海默氏病的人之一（Pasquini等人，2019年，2019年）。痴呆会影响健康。检测痴呆症不仅使患者过着更好的生活，还可以减少NHS的燃烧。尽管如此，在八年的时间范围内，MCI痴呆症的风险很高（Dang等，2019）。因此，该博士的目的是在MCI的个体而不是痴呆症的个体中特别预测认知能力下降。预知的研究表明，任务可能能够预测MCI培养痴呆症的可能性（Zola等，2013）。但是，此任务是模棱两可的，因为有两个自我和检索产生的启动的记忆过程（Wagner，1981），并且两者都可以在此任务中运行。一项与健康参与者的研究通过操纵时间并发现对相对新近度和对象的不同影响来证明该理论的证据（Nitka等，2020）。这反映了自我检索产生的启动并区分它们。我的博士学位旨在探索类似的任务，因为Nitka等人（2020）任务的局限性例如，使用的图像都很容易在口头上区分（例如小提琴和手），这意味着它可以测试口头记忆以及识别记忆。因此，我的一项研究将探索与健康个体相似的任务，但是每个试验中的6张图像将更加相似（例如，在一个试验中，所有6张图像都将是月球的）。因此，这项研究将评估自我和检索产生的启动是否可以通过相对的重新态和就对象进行更准确的测量。与先前的方法相比，这种方法提供了识别记忆的量表，尤其是考虑到口头区分图像的难度增加。潜在的研究可能会探讨该计算机化任务是否可以预测MCIS患者的认知能力下降。相对新近度和对象的使用可以检测到选择性防御。这意味着与以前的研究相比，这项任务可能对认知性能的下降更为敏感，因为单一受影响的启动形式可以用另一种形式来补偿。为了进行这项研究，我将通过任务管理ACE-3，并在一年后再次衡量其认知功能和下降。在此方面，这项研究可能会探索眼球跟踪器的眼动数据，以预测MCI患者的认知能力下降。正如先前的研究发现，患有阿尔茨海默氏病的人与健康对照相比具有不同的眼动数据（Pereira等，2014）。如果结果显着，则可以在GP设置中使用此任务，以帮助医务人员，并且患者知道明年有认知能力下降的风险。当治疗最有效地减慢进展时，较早的检测将允许及时的干预措施并增强临床试验。