Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET-Reference-Cited by-同舟云学术

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Assessing network degeneration and phenotypic heterogeneity in genetic frontotemporal lobar degeneration by decoding FDG-PET

Published:2024 Issue: Volume:41 Page:103559
ISSN:2213-1582
Container-title:NeuroImage: Clinical
language:en
Short-container-title:NeuroImage: Clinical

Author:

Corriveau-Lecavalier Nick^ORCID,Barnard Leland R.,Przybelski Scott A.,Gogineni Venkatsampath,Botha Hugo,Graff-Radford Jonathan,Ramanan Vijay K.,Forsberg Leah K.,Fields Julie A.,Machulda Mary M.,Rademakers Rosa,Gavrilova Ralitza H.,Lapid Maria I.,Boeve Bradley F.,Knopman David S.,Lowe Val J.,Petersen Ronald C.,Jack Clifford R.,Kantarci Kejal,Jones David T.^ORCID

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging

Reference56 articles.

1. Criteria for the diagnosis of corticobasal degeneration;Armstrong;Neurology,2013

2. Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17;Baker;Nature,2006

3. Frontotemporal dementia;Bang;Lancet,2015

4. Proposed research criteria for prodromal behavioural variant frontotemporal dementia;Barker;Brain,2022

5. Barnard LR, Botha H, Corriveau-Lecavalier N, Dicks E, Lee J, Min PH, Senjem ML, Gunter JL, Schwarz CG, Boeve BF. 2022. Latent space projection of brain FDG-PET creates a powerful classifier for neurodegenerative diseases. In: Alzheimer’s Association International Conference. ALZ.

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