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Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI

Author
Petrone, P.; Casamitjana, A.; Falcón, C.; Artigues, M.; Operto, G.; Cacciaglia, R.; Molinuevo, J.; Vilaplana, V.; Gispert, J. D.
Type of activity
Journal article
Journal
Alzheimers Research & Therapy
Date of publication
2019-08-17
Volume
11
Number
72
First page
1
Last page
13
DOI
10.1186/s13195-019-0526-8
Project funding
Multimodal Signal Processing and Machine Learning on Graphs
Repository
http://hdl.handle.net/2117/175733 Open in new window
URL
https://alzres.biomedcentral.com/articles/10.1186/s13195-019-0526-8 Open in new window
Abstract
Background Magnetic resonance imaging (MRI) has unveiled specific alterations at different stages of Alzheimer’s disease (AD) pathophysiologic continuum constituting what has been established as “AD signature”. To what extent MRI can detect amyloid-related cerebral changes from structural MRI in cognitively unimpaired individuals is still an area open for exploration. Method Longitudinal 3D-T1 MRI scans were acquired from a subset of the ADNI cohort comprising 403 subjects: 79 controls (Ct...
Citation
Petrone, P. [et al.]. Prediction of amyloid pathology in cognitively unimpaired individuals using voxel-wise analysis of longitudinal structural brain MRI. "Alzheimers Research & Therapy", 17 Agost 2019, vol. 11, núm. 72, p. 1-13.
Keywords
Jacobian determinant, Longitudinal voxel-wise analysis, MRI, Machine learning, Preclinical AD signature
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Petrone, Paula  (author)
  • Casamitjana Díaz, Adrià  (author)
  • Falcón, Carlos  (author)
  • Artigues, Miquel  (author)
  • Operto, Grégory  (author)
  • Cacciaglia, Raffaele  (author)
  • Molinuevo, José Luis  (author)
  • Vilaplana Besler, Veronica  (author)
  • Gispert, Juan Domingo  (author)

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