Variability of clinical syndromes and cerebral glucose metabolism in symptomatic frontotemporal lobar degeneration associated with progranulin mutations

Abigail Licata, Timo Grimmer, Juliane Winkelmann, Matias Wagner, Oliver Goldhardt, Lina Riedl, Carola Roßmeier, Igor Yakushev, Janine Diehl-Schmid

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Objective: The aims of our study were to describe the clinical phenotype and to characterize the cerebral glucose metabolism patterns as measured with fluordesoxyglucose-positron emission tomography (FDG-PET) in symptomatic FTLD-patients with different GRN variants. Methods: For this study, data were included from all patients (n = 10) of a single-center FTLD registry study who had a pathogenic GRN variant and who had undergone a cerebral FDG-PET scan. Results: An overt variability of clinical phenotypes was identified with half of the cases being not unambiguously classifiable into one of the clinical FTLD subtypes. Furthermore, GRN + patients showed a considerable inter-individual variability of FDG uptake pattern. In half of the GRN + patients, metabolic changes expanded from frontal and temporal brain regions to parietal brain regions including the posterior cingulate cortex. Striking asymmetry without a preference for either hemisphere was overt in half of GRN + cases. Conclusion: We conclude that GRN mutations cause variable patterns of neurodegeneration that often exceed the anatomical boundaries of the frontotemporal brain regions and produce clinical syndromes that cannot clearly be classified into one of the subtypes as defined by the diagnostic criteria.

Original languageEnglish
Pages (from-to)389-395
Number of pages7
JournalAmyotrophic Lateral Sclerosis and Frontotemporal Degeneration
Volume21
Issue number5-6
DOIs
StatePublished - 2 Jul 2020

Keywords

  • FDG-positron emission tomography
  • Frontotemporal lobar degeneration
  • behavioral variant frontotemporal dementia
  • primary progressive aphasia
  • progranulin mutation

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