Data-driven staging of genetic frontotemporal dementia using multi-modal MRI

Frontotemporal dementia in genetic forms is highly heterogeneous and begins many years to prior symptom onset, complicating disease understanding and treatment development. Unifying methods to stage the disease during both the presymptomatic and symptomatic phases are needed for the development of c...

Full description

Bibliographic Details
Main Author: McCarthy, Jillian (author)
Other Authors: Borroni, Barbara (author), Sánchez-Valle, Raquel (author), Moreno, Fermin (author), Laforce, Robert (author), Graff, Caroline (author), Synofzik, Matthis (author), Galimberti, Daniela (author), Rowe, James B (author), Masellis, Mario (author), Tartaglia, Maria Carmela (author), Finger, Elizabeth (author), Vandenberghe, Rik (author), de Mendonça, Alexandre (author), Tagliavini, Fabrizio (author), Santana, Isabel (author), Butler, Chris (author), Gerhard, Alex (author), Danek, Adrian (author), Levin, Johannes (author), Otto, Markus (author), Frisoni, Giovanni (author), Ghidoni, Roberta (author), Sorbi, Sandro (author), Jiskoot, Lize C (author), Seelaar, Harro (author), van Swieten, John C (author), Rohrer, Jonathan D. (author), Iturria-Medina, Yasser (author), Ducharme, Simon (author)
Format: article
Language:eng
Published: 2022
Subjects:
disease progression
frontotemporal dementia
magnetic resonance imaging
unsupervised machine learning
Cross-Sectional Studies
Heterozygote
Humans
Language
Magnetic Resonance Imaging
Frontotemporal Dementia
Online Access:http://hdl.handle.net/10316/103293
Country:Portugal
Oai:oai:estudogeral.sib.uc.pt:10316/103293

Internet

http://hdl.handle.net/10316/103293

Similar Items