ArticleFrontiers in aging neuroscience2016
Progranulin Mutations Affects Brain Oscillatory Activity in Fronto-Temporal Dementia.
Article in Frontiers in aging neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis.Journal of Alzheimer's disease : JAD · 2020Pooled it
- Multidimensional inhibitory signatures of sentential negation in behavioral variant frontotemporal dementia.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Blood Biomarkers in Frontotemporal Dementia: Review and Meta-Analysis.Brain sciences · 2021Review
- Prodromal and Early bvFTD: Evaluating Clinical Features and Current Biomarkers.Frontiers in neuroscience · 2019Review
- Biological, Neuroimaging, and Neurophysiological Markers in Frontotemporal Dementia: Three Faces of the Same Coin.Journal of Alzheimer's disease : JAD · 2018Review
- Electroencephalography-driven approach to prodromal Alzheimer's disease diagnosis: from biomarker integration to network-level comprehension.Clinical interventions in aging · 2016Article
- EEG network reorganization across Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMild 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
methodsEEG 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).
resultsMCI-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.
conclusionEEG frequency rhythms are sensible to different stage of FTD and could detect changes in brain oscillatory activity affected by GRN mutations.
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