2022
DOI: 10.1002/alz.12824
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Temporal dynamics predict symptom onset and cognitive decline in familial frontotemporal dementia

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

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Cited by 3 publications
(4 citation statements)
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“…Maintenance of cognitive functions in genetic mutation carriers depends more on functional network integrity. This is consistent with findings from recent studies highlighting the link between functional networks and cognition in pre-symptomatic FTD [4,10]. The performance related to attention, processing speed and executive functions was correlated with global GMV in non-carriers, while correlated with left frontoparietal network integrity in pre-symptomatic carriers especially as they get older.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Maintenance of cognitive functions in genetic mutation carriers depends more on functional network integrity. This is consistent with findings from recent studies highlighting the link between functional networks and cognition in pre-symptomatic FTD [4,10]. The performance related to attention, processing speed and executive functions was correlated with global GMV in non-carriers, while correlated with left frontoparietal network integrity in pre-symptomatic carriers especially as they get older.…”
Section: Discussionsupporting
confidence: 92%
“…However, functional network organization and connectivity are generally maintained despite significant atrophy in pre-symptomatic genetic FTD [4, 9]. Moreover, a recent study indicates that functional networks predict cognitive decline and symptomatic conversion in pre-symptomatic genetic mutation carriers [10]. A better understanding of these changes in the pre-symptomatic stage would inform accurate staging, facilitate clinical trials, and elucidate the mechanisms of resilience by which gene carriers remain cognitively well for many years despite biomarker evidence of neurodegeneration.…”
Section: Introductionmentioning
confidence: 99%
“…The HMM‐multivariate autoregressive model (HMM‐MAR, https://github.com/OHBA-analysis/HMM-MAR) toolbox was applied to compute the HMM parameters. Three key metrics characterize the temporal dynamics of HMM states: fractional occupancy (FO), mean dwell time of HMM (MDTH), and switching rate (SR) 34–36 …”
Section: Methodsmentioning
confidence: 99%
“…Three key metrics characterize the temporal dynamics of HMM states: fractional occupancy (FO), mean dwell time of HMM (MDTH), and switching rate (SR). [34][35][36]…”
Section: Verification Analysis Of Network Measuresmentioning
confidence: 99%