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European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND)

Düzel, E; Acosta-Cabronero, J; Berron, D; Biessels, GJ; Björkman-Burtscher, I; Bottlaender, M; Bowtell, R; ... Speck, O; + view all (2019) European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND). Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring , 11 pp. 538-549. 10.1016/j.dadm.2019.04.010. Green open access

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Abstract

Introduction: The goal of European Ultrahigh-Field Imaging Network in Neurodegenerative Diseases (EUFIND) is to identify opportunities and challenges of 7 Tesla (7T) MRI for clinical and research applications in neurodegeneration. EUFIND comprises 22 European and one US site, including over 50 MRI and dementia experts as well as neuroscientists. // Methods: EUFIND combined consensus workshops and data sharing for multisite analysis, focusing on 7 core topics: clinical applications/clinical research, highest resolution anatomy, functional imaging, vascular systems/vascular pathology, iron mapping and neuropathology detection, spectroscopy, and quality assurance. Across these topics, EUFIND considered standard operating procedures, safety, and multivendor harmonization. // Results: The clinical and research opportunities and challenges of 7T MRI in each subtopic are set out as a roadmap. Specific MRI sequences for each subtopic were implemented in a pilot study presented in this report. Results show that a large multisite 7T imaging network with highly advanced and harmonized imaging sequences is feasible and may enable future multicentre ultrahigh-field MRI studies and clinical trials. // Discussion: The EUFIND network can be a major driver for advancing clinical neuroimaging research using 7T and for identifying use-cases for clinical applications in neurodegeneration.

Type: Article
Title: European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.dadm.2019.04.010
Publisher version: https://doi.org/10.1016/j.dadm.2019.04.010
Language: English
Additional information: © 2018 The Authors. Published by Elsevier Inc. on behalf of the Alzheimer’s Association. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
Keywords: Alzheimer's disease (AD), Magnetic resonance imaging (MRI), Mild cognitive impairment (MCI), Parkinson's disease (PD), Subjective cognitive decline (SCD), Ultrahigh-field MRI, Vascular dementia
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10079877
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