Computational modelling to understand early-stage neurodegeneration

与其试图逆转神经退化，治疗策略必须针对疾病可能的最早阶段，当治疗有可能防止或减缓病理进展时。拟议的项目将使用使用功能磁共振的计算模型来提供家族性阿尔茨海默病和亨廷顿病进展的高效和敏感的标记，以告知在疾病进展中何时应该进行临床试验。

Rather than attempting to reverse neurodegeneration, therapeutic strategies must target the earliest possible stages of disease, when treatments have the potential to prevent or slow down pathological progression. The proposed project will employ computational modelling using functional MRI to deliver highly efficient and sensitive markers of Familial Alzheimer’s disease and Huntington’s disease progression to inform when in the progression of disease clinical trials should take place.