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The EMPIR project: Innovative measurements for improved diagnosis and management of neurodegenerative diseases (NeuroMet)
LGC UK.
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2017 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

An initial review of previous studies relating to Alzheimer disease state indices was carried out at RI.SE with the aim to identify additional data to be included in this study and provide generic guidelines for metrological quality assurance of clinical neuropsychological data.

Work to utilise new cognitive data to re-analyse correlation studies between MMSE and MRI estimates of grey-matter volume has in this first report of the EMPIR NeuroMet project mainly be done at RI.SE using initially data from earlier studies. Rasch analysis reveals significant distortion of MMSE scales. That in turn leads to a re-evaluation of correlations and decisions (e.g. about health) based on those correlations.

Place, publisher, year, edition, pages
2017.
Keyword [en]
Metrology, Alzheimer, Cognitive ability
National Category
Neurology
Identifiers
URN: urn:nbn:se:ri:diva-29759OAI: oai:DiVA.org:ri-29759DiVA: diva2:1104830
Conference
EuroMedLab Athens 2017. Athens, Greece, 11-15 June, 2017.
Projects
EURAMET EMPIR 15HLT04 NeuroMet
Funder
EU, Horizon 2020, EMPIR 15HLT04
Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-06-02Bibliographically approved

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