Paper Info
Title
Spatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.
Abstract
Brain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such as frontotemporal dementia or Alzheimer's disease, atrophy can be observed in key brain structures years before any clinical symptoms are present. Atrophy is most commonly captured as volume change of key structures and the shape changes of these structures are typically not analysed despite being potentially more sensitive than summary volume statistics over the entire structure.
Year
DOI
Venue
2019
10.1016/j.neuroimage.2018.11.063
NeuroImage
Keywords
Field
DocType
Shape analysis,Clustering,Computational anatomy,Thalamus,Spatiotemporal geodesic regression,Parallel transport
Computational anatomy,Population,Disease,Neuroscience,Neurology,Cognitive psychology,Psychology,Frontotemporal dementia,Atrophy,Frontal lobe,Cohort
Journal
Volume
ISSN
Citations 
188
1053-8119
0
PageRank 
References 
Authors
0.34
10
22
Name
Order
Citations
PageRank
Claire Cury100.34
Stanley Durrleman245241.18
David M. Cash335928.35
Marco Lorenzi413714.39
Jennifer M. Nicholas501.01
Martina Bocchetta6524.19
John van Swieten781.20
Barbara Borroni862.25
Daniela Galimberti910.70
Mario Masellis1021.06
Maria Carmela Tartaglia1100.34
James B Rowe1214828.06
Caroline Graff1310.70
Fabrizio Tagliavini14241.45
Giovanni B. Frisoni1517014.72
Robert Laforce1610.70
E FINGER17142.39
Alexandre de Mendonça1872.13
Sandro Sorbi1941.13
Sébastien Ourselin202499237.61
Jonathan D. Rohrer21415.65
Marc Modat2289872.33