Principal Investigators

    Dr. Ir. A.M. Wink


    VU University Medical Center

    Contact information of lead PI



    Title of project or programme

    Automated Multimodality Image-based Classifiers for Early Detection of Alzheimer's Disease

    Source of funding information


    Total sum awarded (Euro)

    € 458,611

    Start date of award


    Total duration of award in years



    Research Abstract

    This project will combine modern, efficient pattern classification methods with integrated representations of multimodality data. Its main milestones are:
    • to tailor pattern recognition methods to neuroimaging data by introducing optimal data structures that represent the common spatial structure of multimodality inputs;
    • to train the software using an optimised normative multimodality imaging data set from the ADNI-2 cohort (N=550, controls and patients);
    • to validate the clinical relevance of the resulting biomarkers in terms of reliability in a test-retest setting, and in terms of validity/generalisability in a cross-validation setting;
    • to apply and validate these biomarkers in existing, ecological multi-modality imaging cohorts from
    1. the VUmc (N=160 patients Alzheimer Center)
    2. CITA-Alzheimer (N=480 elderly controls, recruited via the regional media);

    • to quantify classifier accuracy by relating its outcomes to disease variables of amyloid-beta, tau, genetic and cognition data;
    • to define, validate and test diagnostic patterns for various early stages of AD to facilitate clinical decision making;
    • to develop a quantitative diagnostic tool for decision support and to assess its clinical value.

    Further information available at:

Types: Investments < €500k
Member States: Netherlands
Diseases: N/A
Years: 2016
Database Categories: N/A
Database Tags: N/A

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