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Longitudinal Brain Atrophy Rates in Presymptomatic Carriers of Genetic Frontotemporal Dementia. | LitMetric

Longitudinal Brain Atrophy Rates in Presymptomatic Carriers of Genetic Frontotemporal Dementia.

Neurology

From the Department of Neurology and Alzheimer Center Erasmus MC (Jackie M. Poos, L.D.M.G., E.L.E., J.L.P., Janne M. Papma, H.S., Esther van den Berg, J.S., L.C.J.), Erasmus MC University Medical Center; Quantib B.V. (R.K.), Rotterdam; Departments of Radiology and Nuclear Medicine (Esther Bron, R.S., M.W.V.) and Epidemiology (M.W.V.), Erasmus MC University Medical Center Rotterdam; Department of Neurology (Y.A.L.P.), Alzheimer Center, Location VU University Medical Center Amsterdam Neuroscience, Amsterdam University Medical Center; Department of Radiology (S.A.R.B.R.), Leiden University Medical Center; Institute of Psychology (S.A.R.B.R.) and Leiden Institute for Brain and Cognition (S.A.R.B.R.), Leiden University, The Netherlands; and Dementia Research Centre (L.C.J.), Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.

Published: December 2022

AI Article Synopsis

  • - The study aims to identify when brain atrophy rates accelerate in individuals with genetic frontotemporal dementia (FTD), focusing on presymptomatic stages to determine optimal treatment timing.
  • - Researchers conducted magnetic resonance imaging on presymptomatic carriers of pathogenic variants over an average follow-up of 64 months, analyzing brain volumes against a large normative sample.
  • - Findings revealed that pathogenic variant carriers exhibit accelerated brain volume decline, particularly in the frontal and temporal lobes, starting at age 45, suggesting that changes in brain structure precede noticeable symptoms of FTD.

Article Abstract

Background And Objectives: It is important to identify at what age brain atrophy rates in genetic frontotemporal dementia (FTD) start to accelerate and deviate from normal aging effects to find the optimal starting point for treatment. We investigated longitudinal brain atrophy rates in the presymptomatic stage of genetic FTD using normative brain volumetry software.

Methods: Presymptomatic , , and pathogenic variant carriers underwent longitudinal volumetric T1-weighted magnetic resonance imaging of the brain as part of a prospective cohort study. Images were automatically analyzed with Quantib® ND, which consisted of volume measurements (CSF and sum of gray and white matter) of lobes, cerebellum, and hippocampus. All volumes were compared with reference centile curves based on a large population-derived sample of nondemented individuals (n = 4,951). Mixed-effects models were fitted to analyze atrophy rates of the different gene groups as a function of age.

Results: Thirty-four , 8 , and 14 pathogenic variant carriers were included (mean age = 52.1, standard deviation = 7.2; 66% female). The mean follow-up duration of the study was 64 ± 33 months (median = 52; range 13-108). pathogenic variant carriers showed a faster decline than the reference centile curves for all brain areas, though relative volumes remained between the 5th and 75th percentiles between the ages of 45 and 70 years. In pathogenic variant carriers, frontal lobe volume was already at the 5th percentile at age 45 years and showed a further decline between the ages 50 and 60 years. Temporal lobe volume started in the 50th percentile at age 45 years but showed fastest decline over time compared with other brain structures. Frontal, temporal, parietal, and cerebellar volume already started below the 5th percentile compared with the reference centile curves at age 45 years for pathogenic variant carriers, but there was minimal decline over time until the age of 60 years.

Discussion: We provide evidence for longitudinal brain atrophy in the presymptomatic stage of genetic FTD. The affected brain areas and the age after which atrophy rates start to accelerate and diverge from normal aging slopes differed between gene groups. These results highlight the value of normative volumetry software for disease tracking and staging biomarkers in genetic FTD. These techniques could help in identifying the optimal time window for starting treatment and monitoring treatment response.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757869PMC
http://dx.doi.org/10.1212/WNL.0000000000201292DOI Listing

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