Defining and predicting variability in early Parkinson's disease using quantitative MRI

使用定量 MRI 定义和预测早期帕金森病的变异性

• 批准号: MR/R006504/1
• 负责人: Christian Lambert
• 金额: $ 165.33万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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=MR%2FR006504%2F1
• 关键词: Defining; predicting; variability; early; Parkinson

One of the biggest challenges facing developed countries in the 21st centaury is the increasingly aged population and rising life expectancy. In the UK nearly a quarter of the population will be aged 65 or over within 20 years. As a consequence, more people will be living with chronic, long-standing health problems. This poses significant challenges, particularly in healthcare, and will require a shift towards pre-emptive treatments designed to prevent or slow the progression of chronic diseases in order to cope with this changing demographic.Parkinson's disease is a common degenerative disorder of the brain that becomes more likely with age. A combination of muscle stiffness, tremor and slow movements alert the clinician to its presence. These symptoms begin to be detectable once half of the nerve cells within a brain region called the substantia nigra have already died. Once diagnosed, disease progression is highly variable. About half the people diagnosed will develop significant problems within four years. There is evidence that Parkinson's disease actually begins up to 20 years before it is diagnosed; it starts in a different part of the brain and progresses slowly causing more subtle problems. This intervening period is called "pre-clinical Parkinson's". During this period there are certain problems, such as loss of smell or certain sleep disturbances, which are more likely to be experienced by individuals with the condition. However, it is not currently possible to identify who amongst these individuals have pre-clinical Parkinson's or how quickly the disease will progress once diagnosed. This work seeks to use non-invasive brain-scanning techniques to understand why Parkinson's disease is so variable, develop ways to predict how quickly the disease will progress based on an individual's brain structure and diagnose the condition during the pre-clinical phase. By achieving these aims, strategies aimed at slowing the condition can be researched more accurately, and the disease can be better characterized within an individual, allowing current treatments to be tailored to their present and future needs.

21世纪发达国家面临的最大挑战之一是人口越来越大，预期寿命不断提高。在英国，将近四分之一的人口将在20年内年龄在65岁以上。结果，越来越多的人将患有慢性，长期存在的健康问题。这提出了重大挑战，特别是在医疗保健中，需要转向旨在预防或减慢慢性疾病进展以应对这种不断变化的人口统计学的预先治疗。Parkinson的疾病是大脑的常见变性疾病，随着年龄的增长而变得更有可能。肌肉僵硬，震颤和缓慢运动的结合使临床医生的存在提醒。一旦一个称为黑质的大脑区域内的一半神经细胞已经死亡，这些症状就开始被发现。一旦诊断出，疾病的进展就高度可变。大约一半的被诊断的人将在四年内出现重大问题。 有证据表明，帕金森氏病实际上是在被诊断出来的20年之前开始的。它从大脑的另一部分开始，并缓慢地导致更细微的问题。这段介入时期称为“临床前帕金森氏症”。在此期间，存在某些问题，例如气味或某些睡眠障碍，患有这种情况的人更有可能经历。但是，目前不可能确定谁在这些人中患有临床前帕金森氏症或疾病一旦被诊断出来的速度。这项工作试图使用非侵入性的脑扫描技术来了解为什么帕金森氏病如此可变，开发出预测疾病基于个人的大脑结构的速度的速度，并在临床前阶段诊断病情。通过实现这些目标，可以更准确地研究旨在减慢病情的策略，并且该疾病可以在个人内得到更好的特征，从而使当前的治疗方法可以根据其目前和未来的需求进行量身定制。

项目成果

Second waves, social distancing, and the spread of COVID-19 across America

第二波浪潮、社交距离以及 COVID-19 在美国的传播

• DOI: 10.12688/wellcomeopenres.15986.1
• 发表时间: 2020
• 期刊: Wellcome Open Research
• 作者: Friston K

Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases

• DOI: 10.1093/brain/awz193
• 发表时间: 2019-09-01
• 期刊: BRAIN
• 影响因子: 14.5
• 作者: Betts, Matthew J.;Kirilina, Evgeniya;Haemmerer, Dorothea
• 通讯作者: Haemmerer, Dorothea

Lacunar Infarcts, but Not Perivascular Spaces, Are Predictors of Cognitive Decline in Cerebral Small-Vessel Disease.

• DOI: 10.1161/strokeaha.117.017526
• 发表时间: 2018-03
• 期刊: Stroke
• 影响因子: 8.3
• 作者: Benjamin P;Trippier S;Lawrence AJ;Lambert C;Zeestraten E;Williams OA;Patel B;Morris RG;Barrick TR;MacKinnon AD;Markus HS
• 通讯作者: Markus HS

Ventralis intermedius nucleus anatomical variability assessment by MRI structural connectivity.

• DOI: 10.1016/j.neuroimage.2021.118231
• 发表时间: 2021-09
• 期刊: NeuroImage
• 影响因子: 5.7
• 作者: Ferreira F;Akram H;Ashburner J;Zrinzo L;Zhang H;Lambert C
• 通讯作者: Lambert C