Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis

Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis

Aims: We assessed the value of automated MRI quantification methods in the differential diagnosis of behavioral-variant frontotemporal dementia (bvFTD) from Alzheimer disease (AD), Lewy body dementia (LBD), and subjective memory complaints (SMC). We also examined the role of the C9ORF72-related gene...

Full description

Bibliographic Details
Main Authors: Antti Cajanus, Anette Hall, Juha Koikkalainen, Eino Solje, Antti Tolonen, Timo Urhemaa, Yawu Liu, Ramona M. Haanpää, Päivi Hartikainen, Seppo Helisalmi, Ville Korhonen, Daniel Rueckert, Steen Hasselbalch, Gunhild Waldemar, Patrizia Mecocci, Ritva Vanninen, Mark van Gils, Hilkka Soininen, Jyrki Lötjönen, Anne M. Remes
Format: Article
Language:English
Published: Karger Publishers 2018-02-01
Series:Dementia and Geriatric Cognitive Disorders Extra
Subjects:
Frontotemporal dementia
Frontotemporal lobar degeneration
Neuroimaging
MRI
Dementia
Machine learning
Online Access:https://www.karger.com/Article/FullText/486849

Internet

https://www.karger.com/Article/FullText/486849

Similar Items