The DOI matches its Crossref record; 308 of the 308 references it cites were found in a registry or an index.
EFNS task force: the use of neuroimaging in the diagnosis of dementia
Open accessAbstract
Background and purpose: The E uropean F ederation of the N eurological S ocieties (EFNS) guidelines on the use of neuroimaging in the diagnosis and management of dementia are designed to revise and expand previous EFNS recommendations for the diagnosis and management of patients with A lzheimer's disease (AD) and to provide an overview of the evidence for the use of neuroimaging techniques in non‐AD dementias, as well as general recommendations that apply to all types of dementia in clinical practice. Methods: The task force working group reviewed evidence from original research articles, meta‐analyses and systematic reviews, published before A pril 2012. The evidence was classified, and consensus recommendations were given and graded according to the EFNS guidance regulations. Results: Structural imaging, which should be performed at least once in the diagnostic work‐up of patients with cognitive impairment, serves to exclude other potentially treatable diseases, to recognize vascular lesions and to identify specific findings to help distinguish different forms of neurodegenerative types of dementia. Although typical cases of dementia may not benefit from routine functional imaging, these tools are recommended in those cases where diagnosis remains in doubt after clinical and structural imaging work‐up and in particular clinical settings. Amyloid imaging is likely to find clinical utility in several fields, including the stratification of patients with mild cognitive impairment into those with and without underlying AD and the evaluation of atypical AD presentations. Conclusions: A number of recommendations and good practice points are made to improve the diagnosis of AD and other dementias.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Major consensus dementia investigation guidelines all recommend structural brain imaging as part of the investigation of bvFTD (Knopman et al. , 2001; Filippi et al. , 2012; Soucy et al. , 2013).”
From Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders (2020) · cites this paper as Filippi et al. , 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657
Self-citationSpontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging
Fazekas, F., Chawluk, J. B., Alavi, A. A., Hurtig, H. I., & Zimmerman, R. A. (1987) · American Journal of Roentgenology · doi:10.2214/ajr.149.2.351 · Cited by 5,327
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Self-citationClassification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Self-citationDiagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069
Self-citationRomán, G. C., Tatemichi, T. K., Erkinjuntti, T., Cummings, J. L., Masdeu, J. C., Garcia, J. H., Amaducci, L., Orgogozo, J.-M., Brun, A., Hofman, A., et al. (1993) · Neurology · doi:10.1212/wnl.43.2.250 · Cited by 4,921
Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., et al. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70178-3 · Cited by 4,411
Self-citationGreicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Litvan, I., Agid, Y., Calne, D., Campbell, G., Dubois, B., Duvoisin, R. C., Goetz, C. G., Golbe, L. I., Grafman, J., Growdon, J. H., et al. (1996) · Neurology · doi:10.1212/wnl.47.1.1 · Cited by 2,538
Self-citation
Research works printed but not linked: 1
- 10.1007/978-3-642-00818-4 · DOI
Cited by
Sorted by citations
Vascular dysfunction—The disregarded partner of Alzheimer's disease
Sweeney, M. D., Montagne, A., Sagare, A. P., Nation, D. A., Schneider, L. S., Chui, H. C., Harrington, M. G., Pa, J., Law, M., Wang, D. J. J., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.222 · Cited by 711
Strategic roadmap for an early diagnosis of Alzheimer's disease based on biomarkers
Frisoni, G. B., Boccardi, M., Barkhof, F., Blennow, K., Cappa, S., Chiotis, K., Démonet, J.-F., Garibotto, V., Giannakopoulos, P., Gietl, A., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30159-x · Cited by 626
Self-citationDucharme, S., Dols, A., Laforce, R., Devenney, E., Kumfor, F., van den Stock, J., Dallaire-Théroux, C., Seelaar, H., Gossink, F., Vijverberg, E., et al. (2020) · Brain · doi:10.1093/brain/awaa018 · Cited by 320
Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia
Ismail, Z., Black, S. E., Camicioli, R., Chertkow, H., Herrmann, N., Laforce, R., Montero‐Odasso, M., Rockwood, K., Rosa‐Neto, P., Seitz, D., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12105 · Cited by 245
Daianu, M., Jahanshad, N., Nir, T. M., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, F. T. A. D. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0137 · Cited by 173
Self-citationBernstein, A., Rogers, K. M., Possin, K. L., Steele, N. Z. R., Ritchie, C. S., Kramer, J. H., Geschwind, M., Higgins, J. J., Wohlgemuth, J., Pesano, R., et al. (2019) · BMC Health Services Research · doi:10.1186/s12913-019-4603-2 · Cited by 120
Self-citationArtificial intelligence for diagnostic and prognostic neuroimaging in dementia: a systematic review
Borchert, R. J., Azevedo, T., Badhwar, A., Bernal, J., Betts, M., Bruffaerts, R., Burkhart, M. C., Dewachter, I., Gellersen, H. M., Low, A., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13412 · Cited by 125
Differentiating Dementia with Lewy Bodies and Alzheimer's Disease by Deep Learning to Structural MRI
Nemoto, K., Sakaguchi, H., Kasai, W., Hotta, M., Kamei, R., Noguchi, T., Minamimoto, R., Arai, T., & Asada, T. (2021) · Journal of Neuroimaging · doi:10.1111/jon.12835 · Cited by 37
Clinical impact of a second FDG-PET in atypical/unclear dementia syndromes
Bergeron, D., Beauregard, J.-M., Guimond, J., Fortin, M.-P., Houde, M., Poulin, S., Verret, L., Bouchard, R. W., & Laforce, R. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-150302 · Cited by 17
Metadata
- Authors
- Filippi, M., Agosta, F., Barkhof, F., Dubois, B., Fox, N. C., Frisoni, G. B., Jack, C. R., Johannsen, P., Miller, B. L., Nestor, P. J., Scheltens, P., Sorbi, S., Teipel, S., Thompson, P. M., & Wahlund, L. ‐.
- Affiliations
- Vita-Salute San Raffaele University (IT)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Institut du Cerveau (FR)
- UCL Queen Square Institute of Neurology (GB)
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- Mayo Clinic (US)
- Copenhagen University Hospital (DK)
- University of California, San Francisco (US)
- University of Cambridge (GB)
- Azienda Ospedaliero-Universitaria Careggi (IT)
- German Center for Neurodegenerative Diseases (DE)
- University of California, Los Angeles (US)
- Karolinska Institutet (SE)
- Corresponding author
- Filippi, M.
- ORCID
- Venue
- European Journal of Neurology
- Publisher
- Wiley
- Published
- 2012-08-20
- Volume
- 19
- Issue
- 12
- Pages
- 1487-1501
- ISSN
- 1351-5101 (ISSN-L)
- 1468-1331
- OpenAlex
- W2084706106
- Semantic Scholar
- dbd748074b1e75d40752f241b2425e2c4ddab214
- Cited by
- 141
- References
- 308
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 10 · 2023: 9 · 2022: 11 · 2021: 9 · 2020: 12 · 2019: 15 · 2018: 11 · 2017: 11 · 2016: 5 · 2015: 14 · 2014: 11 · 2013: 8 · 2012: 3
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Journal of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Archivio Istituzionale della Ricerca - Università Vita-Salute San Raffaele (submittedVersion)
- DZNE Pub (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- Sanofi
- Biogen
- Teva Pharmaceutical Industries
- Fondazione Italiana Sclerosi Multipla
- BioClinica
- National Institute for Health and Care Research (NF-SI-0508-10123)
- University of Cambridge
- Ministero della Salute
- Eisai
- H. Lundbeck A/S
- Serono Symposia International Foundation
- National Institutes of Health
- Medical Research Council
- National Institute on Aging (P01AG019724)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- neuroimaging, dementia diagnosis, Alzheimer's disease, non-Alzheimer's dementia, structural imaging, functional imaging, amyloid imaging, mild cognitive impairment, vascular lesions, neurodegenerative dementia
- MeSH terms
- Alzheimer Disease, Dementia, Humans, Advisory Committees, Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
