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Moretti DV, Benussi L, Fostinelli S, et al. Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia. Front Aging Neurosci. 2016;8:35doi: 10.3389/fnagi.2016.00035.
Moretti, D. V., Benussi, L., Fostinelli, S., Ciani, M., Binetti, G., & Ghidoni, R. (2016). Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia. Frontiers in aging neuroscience, 835. https://doi.org/10.3389/fnagi.2016.00035
Moretti, Davide V, et al. "Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia." Frontiers in aging neuroscience vol. 8 (2016): 35. doi: https://doi.org/10.3389/fnagi.2016.00035
Moretti DV, Benussi L, Fostinelli S, Ciani M, Binetti G, Ghidoni R. Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia. Front Aging Neurosci. 2016 Feb 29;8:35. doi: 10.3389/fnagi.2016.00035. eCollection 2016. PMID: 26973510; PMCID: PMC4770190.
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Front Aging Neurosci. 2016 Feb 29;8:35. doi: 10.3389/fnagi.2016.00035. eCollection 2016.

Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia.

Frontiers in aging neuroscience

Davide V Moretti, Luisa Benussi, Silvia Fostinelli, Miriam Ciani, Giuliano Binetti, Roberta Ghidoni

Affiliations

  1. Alzheimer Rehabilitation Research Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia, Italy.
  2. Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia, Italy.
  3. Memory Clinic, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli Brescia, Italy.

PMID: 26973510 PMCID: PMC4770190 DOI: 10.3389/fnagi.2016.00035

Abstract

BACKGROUND: Mild cognitive impairment (MCI) is a clinical stage indicating a prodromal phase of dementia. This practical concept could be used also for fronto-temporal dementia (FTD). Progranulin (PGRN) has been recently recognized as a useful diagnostic biomarker for fronto-temporal lobe degeneration (FTLD) due to GRN null mutations. Electroencephalography (EEG) is a reliable tool in detecting brain networks changes. The working hypothesis of the present study is that EEG oscillations could detect different modifications among FTLD stages (FTD-MCI versus overt FTD) as well as differences between GRN mutation carriers versus non-carriers in patients with overt FTD.

MATERIALS AND METHODS: EEG in all patients and PGRN dosage in patients with a clear FTD were detected. The cognitive state has been investigated through mini mental state examination (MMSE).

RESULTS: MCI-FTD showed a significant lower spectral power in both alpha and theta oscillations as compared to overt FTD. GRN mutations carriers affected by FTLD show an increase in high alpha and decrease in theta oscillations as compared to non-carriers.

CONCLUSION: EEG frequency rhythms are sensible to different stage of FTD and could detect changes in brain oscillatory activity affected by GRN mutations.

Keywords: EEG; FTD; MCI FTD; PGRN negative; PGRN positive

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