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Abstract #3662

A survey of best practice guidelines to harmonize neuroimaging biomarkers for neurodegenerative diseases

Jorge Jovicich1, Frederik Barkhof2,3, Claudio Babiloni4, Karl Herholz5, Christoph Mullert6, Bart N.M. van Berckel7, Giovanni B Frisoni8,9, and SRA-NED JPND Working Group1

1Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy, 2VU University Medical Center, Amsterdam, Netherlands, 3Centre for Medical Image Computing, University College London, London, United Kingdom, 4Sapienza University of Rome, Rome, Italy, 5University of Manchester, Manchester, United Kingdom, 6Psychiatry and Psychotherapy University Medical Center Hamburg Eppendorf, Hamburg, Germany, 7VU University Medical Center Amsterdam, Amsterdam, Netherlands, 8Lab Alzheimer’s Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy, 9Memory Clinic and LANVIE Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland

Current challenges in neurodegenerative diseases (ND): need for early and accurate markers for differential diagnosis, prognosis, progression tracking and intervention assessments.

Big-data neuroimaging studies might help addressing these challenges. However, large-sample neuroimaging data still lacks standardization (multi-vendor acquisition, analysis) and cross –validation (across markers, across large populations), in particular with state-of-the-art MRI hardware (≥32 head RF channel coils and powerful gradients).

Here we: i) evaluate current barriers perceived by the broad neuroimaging research/clinical/industry communities for the large-scale harmonization of MRI/PET-SPECT/EEG neuroimaging methods in the context of ND studies, and ii) propose actions that may help addressing these barriers.

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