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Flower, flora, fauna: can novel metrics of verbal fluency performance help detect individuals at risk of future cognitive decline?

花卉、植物、动物：言语流畅性的新指标能否帮助检测未来认知能力下降风险的个体？

基本信息

批准号：
2826012
负责人：
金额：
--
依托单位：
University of Sussex
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2826012
关键词：
Flower flora fauna novel metrics

项目摘要

Project background Over 850,000 people are living with a dementia diagnosis in the UK. Whilst treatments to halt or reverse dementia-causing neurodegenerative disease are limited, the ability to detect individuals at risk of future cognitive impairment will help advance preventative strategies.This studentship asks if the patterns of words produced on a simple verbal fluency task (i.e., name as many animals as you can in 60-seconds...) can identify individuals vulnerable to future cognitive decline. We will use natural language processing techniques to characterise subtle differences in the semantic, language and executive strategies to produce words. The project will complete research with healthy adults differentiated by whether they carry a genetic risk factor for Alzheimer's Disease or not, and with adults referred to NHS memory assessment services with cognitive complaints. Project aims and objectivesThe project will develop an innovative, theoretically driven collection of outcomes for characterising verbal fluency task performance using easy-to-automate, computational techniques. You will subsequently test if these measures are sensitive to the effects of carrying an APOE 4 genetic risk variant for dementia, and if this sensitivity changes with age. There will be research within an NHS memory assessment service to explore if the verbal fluency measures you have established can help aid diagnosis and 1-year prognosis in a real-world healthcare setting.

项目背景在英国，有超过85万人患有痴呆症。虽然阻止或逆转痴呆引起的神经退行性疾病的治疗方法有限，但检测未来认知障碍风险的能力将有助于推进预防策略。在60秒内说出尽可能多的动物名字。可以识别出未来认知能力下降的个体。我们将使用自然语言处理技术来消除语义，语言和执行策略的微妙差异，以产生单词。该项目将完成对健康成年人的研究，根据他们是否携带阿尔茨海默病的遗传风险因素进行区分，并将成年人转介到NHS记忆评估服务与认知投诉。项目目标和objectivesThe项目将开发一个创新的，理论驱动的收集结果的特点口头流畅性任务的性能使用易于自动化，计算技术。随后，您将测试这些措施是否对携带APOE 4遗传风险变体对痴呆症的影响敏感，以及这种敏感性是否随年龄而变化。将在NHS记忆评估服务中进行研究，以探索您建立的语言流畅性措施是否有助于在现实世界的医疗保健环境中帮助诊断和1年预后。