The prevalence of frontotemporal dementia
By E. Ratnavalli, C. Brayne, Kate E Dawson, John R. Hodges. Neurology, 2002
1,093 citations recorded by the source corpus.
Subfields: Neurology, Physiology, Psychiatry and Mental health
View Paper: https://www.semanticscholar.org/paper/18e162ae356ac257ec27e08dfaeb76eb1446d27e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Neurology
In Physiology
- William W. Seeley
- Ashish Raj
- Bruce L. Miller
- Amy Kuceyeski
- Michael W. Weiner
- Gil D. Rabinovici
- E. Huang
- Eileen Bigio
In Psychiatry and Mental health
- William W. Seeley
- Bruce L. Miller
- Michael W. Weiner
- Gil D. Rabinovici
- Michael D. Greicius
- Eileen Bigio
- Roberta Ghidoni
Citations in the corpus
- Progranulin Deficiency Promotes Circuit-Specific Synaptic Pruning by Microglia via Complement Activation (2016, positive): “In this study, we investigate the role of aberrant microglial activation as the primary pathogenic factor for frontotemporal dementia (FTD), the second most common dementia affecting patients younger than 65 years of age (Rascovsky et al., 2011; Ratnavalli et al., 2002).”
- A Network Diffusion Model of Disease Progression in Dementia (2012, positive): “The model correctly predicts that early prevalence of bvFTD should be higher than AD, equaling AD at around 60 years of age, mirroring recent prevalence studies of AD and bvFTD under 65 years (Ratnavalli et al., 2002).”
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain (2008, background): “Frontotemporal dementia (FTD) prevalence may be higher than previously thought and may rival Alzheimer’s disease (AD) in individuals younger than 65 years (Ratnavalli et al., 2002).”
- Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. (2010, background): “among patients less than 65 years of age (Ratnavalli et al., 2002), provide a robust conceptual framework for exploring ICN fMRI ap-”