Evidence map›Paper›PMID 31388558›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2019

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

Emrah Düzel, Julio Acosta-Cabronero, David Berron, Geert Jan Biessels, Isabella Björkman-Burtscher, Michel Bottlaender, Richard Bowtell, Mark V Buchem, Arturo Cardenas-Blanco, Fawzi Boumezbeur and 21 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Cross-Site Generalization of CNN-BasedNMR in biomedicine · 2026
    Article
  3. Article
  4. Review
  5. Multi-center QA of ultrahigh-field systems.Magma (New York, N.Y.) · 2025
    Review
  6. Review
  7. Review
  8. Enlarged perivascular spaces in the basal ganglia are associated with arteries not veins.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  9. Review
  10. Review
  11. Neuroimaging at 7 Tesla: a pictorial narrative review.Quantitative imaging in medicine and surgery · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 20 institutions in 9 countries.

Emrah DüzelInstitute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Julio Acosta-CabroneroGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany.
David BerronGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany.
Geert Jan BiesselsDepartment of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands.
Isabella Björkman-Burtscher7Lund University BioImaging Center, Lund University, Lund, Sweden.
Michel BottlaenderNeuroSpin, CEA & Université Paris-Saclay, Gif-Sur-Yvette, France.
Richard BowtellSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Mark V BuchemDepartment of Radiology, University Medical Center Leiden, Leiden, The Netherlands.
Arturo Cardenas-BlancoInstitute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Fawzi BoumezbeurNeuroSpin, CEA & Université Paris-Saclay, Gif-Sur-Yvette, France.
Dennis ChanDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Stuart ClareWellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK.
Mauro CostagliImago 7 Research Foundation, Pisa, Italy.
Ludovic de RochefortCenter for Magnetic Resonance in Biology and Medicine (UMR 7339), CRMBM, CNRS - Aix Marseille Université, Marseille, France.
Ariane FillmerPhysikalisch-Technische Bundesanstalt (PTB), Berlin, Germany.
Penny GowlandSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Oskar Hansson7Lund University BioImaging Center, Lund University, Lund, Sweden.
Jeroen HendrikseDepartment of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands.
Oliver KraffErwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.
Mark E LaddMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Itamar RonenDepartment of Radiology, University Medical Center Leiden, Leiden, The Netherlands.
Esben PetersenDanish Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
James B RoweDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Hartwig SiebnerDanish Center for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Tony StoeckerGerman Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
Sina StraubMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Michela TosettiImago 7 Research Foundation, Pisa, Italy.
Kamil UludagCenter for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Alexandre VignaudNeuroSpin, CEA & Université Paris-Saclay, Gif-Sur-Yvette, France.
Jaco ZwanenburgDepartment of Neurology, UMC Utrecht, Utrecht University, Utrecht, The Netherlands.
Oliver SpeckGerman Center for Neurodegenerative Diseases (DZNE), Magdeburg, Magdeburg, Germany.
German Center for Neurodegenerative Diseases · DECEA Paris-Saclay · FRCopenhagen University Hospital · DKFondazione Stella Maris · ITLeiden University Medical Center · NLLund University · SEUniversity of Applied Sciences Utrecht · NLUniversity of Cambridge · GBUniversity of Nottingham · GBAix-Marseille Université · FRCenter for Behavioral Brain Sciences · DEErwin L. Hahn Institute for Magnetic Resonance Imaging · DEGerman Cancer Research Center · DEHeidelberg University · DEPhysikalisch-Technische Bundesanstalt · DESkåne University Hospital · SEUniversité Paris-Saclay · FRUniversity College London · GBUniversity Health Network · CAUtrecht University · NL

Funding

Medical Research Council MR/M008983/1Medical Research Council MR/N008537/1Wellcome Trust
6 · The paper itself

Abstract

introductionThe 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.

methodsEUFIND 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.

resultsThe 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.

Indexed as

Alzheimer's disease (AD)Magnetic resonance imaging (MRI)Mild cognitive impairment (MCI)Parkinson's disease (PD)Subjective cognitive decline (SCD)Ultrahigh-field MRIVascular dementia

Identifiers

PMID31388558
PMCPMC6675944
OpenAlexW2966095247

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.