权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

What do you say? An investigation of how lesions cause language deficits in post-stroke

你怎么说？

基本信息

批准号：
2088828
负责人：
金额：
--
依托单位：
University College London
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2088828
关键词：
What do say investigation how

项目摘要

A stroke can happen at any time to anyone, including new-borns and children. Stroke occurs when blood supply to an area in the brain is compromised, causing brain cells to die. Loss of brain cells can lead to deficits in functions for which an area specialised. For example, approximately a third of stroke survivors have deficits in speech comprehension and/or production, a condition referred to as aphasia. Aphasia is, thought to be, caused by lesions in dorsal and/or ventral language pathways post-stroke (Weiller, et al. 2011; Hickok and Poeppel, 2007; Hickok and Poeppel, 2000; Eggert, 1997). Aphasia has devastating consequences for the affected individual, due to inability to communicate and engage with loved ones and the wider community, alongside considerable societal cost.We know that the ability of a patient to recover their language capabilities post-stroke depends on the total proportion of damage to the brain, whether areas that support language have been damaged and the intensity of the initial symptoms (Price, et al. 2010). Additionally, using data-driven methods, research shows that post-stroke recovery is much more systematic and predictable than was previously thought (Hope, et al. 2018; Hope, et al. 2017; Seghier, et al. 2014; Hope et al. 2013; Seghier, et al. 2012; Saur, et al. 2010; Blasi, et al. 2002; Musso, et al. 1999). However, without a mechanistic, process-level account of how language skills are implemented in a healthy brain, we cannot understand what has gone wrong (and therefore, consider how best to resolve it) when those skills are impaired by stroke. This understanding is crucial for giving patients an accurate indication of recovery.Thus, the project aims to investigate the process by which lesion damage causes aphasic symptoms post-stroke using computational modelling. Computational modelling is an appropriate framework to study this paradigm since it will allow us to model both normal behaviour and then lesion the model to forge a better understanding if Bayesian. This will explain how and why lesion damage can cause different types and severity of aphasia.

中风可以发生在任何人身上，包括新生儿和儿童。中风发生时，血液供应到大脑中的一个区域受到损害，导致脑细胞死亡。脑细胞的损失会导致功能的缺陷，这是一个区域专门化的。例如，大约三分之一的中风幸存者在言语理解和/或产生方面有缺陷，这种情况被称为失语症。失语症被认为是由卒中后背侧和/或腹侧语言通路的病变引起的（Weiller，et al. 2011; Hickok and Poeppel，2007; Hickok and Poeppel，2000; Eggert，1997）。失语症会给患者带来灾难性的后果，因为患者无法与亲人和更广泛的社区进行交流和参与，同时也会付出相当大的社会代价。我们知道，中风后患者恢复语言能力的能力取决于大脑受损的总比例，支持语言的区域是否受损以及最初症状的严重程度。（Price等人，2010年）。此外，使用数据驱动的方法，研究表明卒中后恢复比以前认为的更系统和可预测（Hope，et al. 2018; Hope，et al. 2017; Seghier，et al. 2014; Hope et al. 2013; Seghier，et al. 2012; Saur，et al. 2010; Blasi，et al. 2002;穆索，et al. 1999）。然而，如果没有一个关于语言技能如何在健康大脑中实现的机械的、过程层面的解释，我们就无法理解当这些技能因中风而受损时出现了什么问题（因此，也就无法考虑如何最好地解决问题）。这种理解对于为患者提供准确的康复指标至关重要。因此，该项目旨在使用计算建模来研究病变损伤导致中风后失语症状的过程。计算建模是研究这种范式的适当框架，因为它将允许我们对正常行为进行建模，然后对模型进行损伤，以更好地理解贝叶斯。这将解释损伤如何以及为什么会导致不同类型和严重程度的失语症。