Innovative diagnostic tools for early detection of Alzheimer's disease

Christoph Laske(German Center for Neurodegenerative Diseases), Hamid R. Sohrabi(Edith Cowan University), Shaun Frost(Commonwealth Scientific and Industrial Research Organisation), Karmele López de Ipiña(University of the Basque Country), Peter Garrard(St George's, University of London), Massimo Buscema(Statistical and Applied Mathematical Sciences Institute), Justin Dauwels(Nanyang Technological University), Surjo R. Soekadar(University of Tübingen), Stephan Mueller(University of Tübingen), Christoph Linnemann(University of Tübingen), Stephanie A. Bridenbaugh(Felix Platter-Hospital), Yogesan Kanagasingam(Commonwealth Scientific and Industrial Research Organisation), Ralph N. Martins(Edith Cowan University), Sid E. O’Bryant(University of North Texas)
Alzheimer s & Dementia
November 15, 2014
Cited by 317Open Access
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Abstract

Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive (cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming (neuropsychological assessment) and thus have limited accessibility as frontline screening and diagnostic tools for AD. Thus, there is an increasing need for additional noninvasive and/or cost-effective tools, allowing identification of subjects in the preclinical or early clinical stages of AD who could be suitable for further cognitive evaluation and dementia diagnostics. Implementation of such tests may facilitate early and potentially more effective therapeutic and preventative strategies for AD. Before applying them in clinical practice, these tools should be examined in ongoing large clinical trials. This review will summarize and highlight the most promising screening tools including neuropsychometric, clinical, blood, and neurophysiological tests.


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