Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/55205
Título: Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia
Autor: Whiteside, David J.
Malpetti, Maura
Jones, P. Simon
Ghosh, Boyd C. P.
Coyle‐Gilchrist, Ian
van Swieten, John C.
Seelaar, Harro
Jiskoot, Lize
Borroni, Barbara
Sanchez‐Valle, Raquel
Moreno, Fermin
Laforce, Robert
Graff, Caroline
Synofzik, Matthis
Galimberti, Daniela
Masellis, Mario
Tartaglia, Maria Carmela
Finger, Elizabeth
Vandenberghe, Rik
De Mendonça, Alexandre
Tagliavini, Fabrizio
Butler, Chris R.
Santana, Isabel
Ber, Isabelle Le
Gerhard, Alexander
Ducharme, Simon
Levin, Johannes
Danek, Adrian
Otto, Markus
Sorbi, Sandro
Pasquier, Florence
Bouzigues, Arabella
Russell, Lucy L.
Rohrer, Jonathan D.
Rowe, James B.
Rittman, Timothy
Palavras-chave: Disease progression
Frontotemporal dementia
Functional magnetic resonance imaging (fMRI)
Network dynamics
Presymptomatic
Data: 2022
Editora: Wiley
Citação: Alzheimer's Dement. 2022; 1- 16
Resumo: Introduction: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD). Methods: For hypothesis generation, 36 participants with behavioral variant FTD (bvFTD) and 34 controls were recruited from one site. For hypothesis testing, we studied 198 symptomatic FTD mutation carriers, 341 presymptomatic mutation carriers, and 329 family members without mutations. We compared functional network dynamics between groups, with clinical severity and with longitudinal clinical progression. Results: We identified a characteristic pattern of dynamic network changes in FTD, which correlated with neuropsychological impairment. Among presymptomatic mutation carriers, this pattern of network dynamics was found to a greater extent in those who subsequently converted to the symptomatic phase. Baseline network dynamic changes predicted future cognitive decline in symptomatic participants and older presymptomatic participants. Discussion: Dynamic network abnormalities in FTD predict cognitive decline and symptomatic conversion. Highlights: We investigated brain network predictors of dementia symptom onset Frontotemporal dementia results in characteristic dynamic network patterns Alterations in network dynamics are associated with neuropsychological impairment Network dynamic changes predict symptomatic conversion in presymptomatic carriers Network dynamic changes are associated with longitudinal cognitive decline.
Descrição: © 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Peer review: yes
URI: http://hdl.handle.net/10451/55205
DOI: 10.1002/alz.12824
ISSN: 1552-5260
Versão do Editor: https://alz-journals.onlinelibrary.wiley.com/journal/15525279
Aparece nas colecções:FM - Artigos em Revistas Internacionais

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