Comparison between Conventional Statistic Approach and Modelling Based on Artificial Neural Network in Differentiating Fronto-Temporal Dementia from Alzheimer's Disease with the Tower of London Test
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چکیده
An early differentiation between AD and FTD may help choosing a therapeutic approach with cholinesterases inhibitors, which are restricted to AD, while for FTD there is no symptomatic or diseasemodifying therapy. Furthermore, both AD and FTD have significant implications for family members and a correct genetic counselling is largely dependent on a correct diagnosis. Lastly, AD and FTD have different natural histories and prognostic features that patients and their caregivers have to face with, Besides current clinical criteria [1,2], mostly descriptive particularly for FTD, several behavioural, neuroimaging, biochemical and functional tools have been proposed to achieve an early and reliable differentiation.
منابع مشابه
Tower of London Test: A Comparison between Conventional Statistic Approach and Modelling Based on Artificial Neural Network in Differentiating Fronto-Temporal Dementia from Alzheimer’s Disease
The early differentiation of Alzheimer's disease (AD) from frontotemporal dementia (FTD) may be difficult. The Tower of London (ToL), thought to assess executive functions such as planning and visuo-spatial working memory, could help in this purpose. Twentytwo Dementia Centers consecutively recruited patients with early FTD or AD. ToL performances of these groups were analyzed using both the co...
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