Charting Frontotemporal Dementia: From Genes to Networks-Reference-Cited by-同舟云学术

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Charting Frontotemporal Dementia: From Genes to Networks

Published:2015-11-29 Issue:1 Volume:26 Page:16-27
ISSN:1051-2284
Container-title:Journal of Neuroimaging
language:en
Short-container-title:J Neuroimaging

Author:

Filippi Massimo¹²,Agosta Federica¹,Ferraro Pilar M.¹

Affiliation:

1. Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute; Vita-Salute San Raffaele University; Milan Italy

2. Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute; Vita-Salute San Raffaele University; Milan Italy

Funder

Alzheimer's Drug Discovery Foundation

Italian Ministry of Health

Publisher

Wiley

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jon.12316/fullpdf

Reference119 articles.

1. Advances in understanding the molecular basis of frontotemporal dementia;Rademakers;Nat Rev Neurol,2012

2. The prevalence of frontotemporal dementia;Ratnavalli;Neurology,2002

3. The heritability and genetics of frontotemporal lobar degeneration;Rohrer;Neurology,2009

4. Frontotemporal lobar degeneration: current perspectives;Riedl;Neuropsychiatr Dis Treat,2014

5. Clinical and pathological continuum of multisystem TDP-43 proteinopathies;Geser;Arch Neurol,2009

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1. Frontotemporal Dementia;Case-based Approach to Common Neurological Disorders;2024

2. Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders;Biomedicines;2023-10-14

3. Prognosis of Alzheimer's Disease Progression from Mild Cognitive Impairment Using Apolipoprotein-E Genotype;Journal of Electrical Engineering & Technology;2021-11-29

4. Altered speech-related cortical network in frontotemporal dementia;Brain Stimulation;2020-05

5. Machine Learning Techniques to Identify Dementia;SN Computer Science;2020-04-10

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