Journal Article DZNE-2022-01704

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

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2023
Wiley Hoboken, NJ

Alzheimer's and dementia 19(5), 1947-1962 () [10.1002/alz.12824]

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Abstract: We tested whether changes in functional networks predict cognitive decline and conversion from the presymptomatic prodrome to symptomatic disease in familial frontotemporal dementia (FTD).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.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.Dynamic network abnormalities in FTD predict cognitive decline and symptomatic conversion.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.

Keyword(s): Humans (MeSH) ; Frontotemporal Dementia: diagnosis (MeSH) ; Mutation: genetics (MeSH) ; Brain (MeSH) ; Cognitive Dysfunction: genetics (MeSH) ; Magnetic Resonance Imaging (MeSH) ; disease progression ; frontotemporal dementia ; functional magnetic resonance imaging (fMRI) ; network dynamics ; presymptomatic

Classification:

Contributing Institute(s):
  1. Parkinson Genetics (AG Gasser)
  2. Clinical Dementia Research München Levin (Clinical Dementia Research München ; AG Levin)
Research Program(s):
  1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2022
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Wiley ; Essential Science Indicators ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Institute Collections > TÜ DZNE > TÜ DZNE-AG Gasser 2
Document types > Articles > Journal Article
Institute Collections > M DZNE > M DZNE-AG Levin
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 Record created 2022-11-29, last modified 2023-11-20


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