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

Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia / D.J. Whiteside, M. Malpetti, P.S. Jones, B.C.P. Ghosh, I. Coyle-Gilchrist, J.C. van Swieten, H. Seelaar, L. Jiskoot, B. Borroni, R. Sanchez-Valle, F. Moreno, R. Laforce, C. Graff, M. Synofzik, D. Galimberti, M. Masellis, M.C. Tartaglia, E. Finger, R. Vandenberghe, A. de Mendonça, F. Tagliavini, C.R. Butler, I. Santana, I.L. Ber, A. Gerhard, S. Ducharme, J. Levin, A. Danek, M. Otto, S. Sorbi, F. Pasquier, A. Bouzigues, L.L. Russell, J.D. Rohrer, J.B. Rowe, T. Rittman. - In: ALZHEIMER'S & DEMENTIA. - ISSN 1552-5260. - 19:5(2023 May), pp. 1947-1962. [10.1002/alz.12824]

Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia

D. Galimberti;
2023

Abstract

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
disease progression; frontotemporal dementia; functional magnetic resonance imaging (fMRI); network dynamics; presymptomatic
Settore BIO/13 - Biologia Applicata
mag-2023
15-nov-2022
Article (author)
File in questo prodotto:
File Dimensione Formato  
Whiteside et al.pdf

accesso aperto

Descrizione: Research Article
Tipologia: Publisher's version/PDF
Dimensione 1.35 MB
Formato Adobe PDF
1.35 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/969502
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact