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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 |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Temporal_predict.pdf | 1,35 MB | Adobe PDF | Ver/Abrir |
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