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MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials

Author
Casamitjana, A.; Petrone, P.; Tucholka, A.; Falcón, C.; Skouras, S.; Molinuevo, J.; Vilaplana, V.; Gispert, J.
Type of activity
Journal article
Journal
Journal Alzheimer's disease
Date of publication
2018
Volume
64
Number
4
First page
1099
Last page
1112
DOI
https://doi.org/10.3233/JAD-180299 Open in new window
Repository
http://hdl.handle.net/2117/127331 Open in new window
URL
https://content.iospress.com/journals/journal-of-alzheimers-disease/64/4 Open in new window
Abstract
The final publication is available at IOS Press through http://dx.doi.org/10.3233/JAD-180299”. The identification of healthy individuals harboring amyloid pathology represents one important challenge for secondary prevention clinical trials in Alzheimer’s disease (AD). Consequently, noninvasive and cost-efficient techniques to detect preclinical AD constitute an unmet need of critical importance. In this manuscript, we apply machine learning to structural MRI (T1 and DTI) of 96 cognitively n...
Citation
Casamitjana, A., Petrone, P., Tucholka, A., Falcón, C., Skouras, S., Molinuevo, J., Vilaplana, V., Gispert, J. MRI-based screening of preclinical Alzheimer's disease for prevention clinical trials. "Journal Alzheimer's disease", 2018, vol. 64, núm. 4, p. 1099-1112.
Keywords
Amyloid pathology, Clinical trial, Machine learning, Preclinical Alzheimer’s disease, Screening, Secondaryprevention
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

  • Casamitjana Diaz, Adria  (author)
  • Petrone, Paula  (author)
  • Tucholka, Alan  (author)
  • Falcón, Carlos  (author)
  • Skouras, Stavros  (author)
  • Molinuevo, José Luis  (author)
  • Vilaplana Besler, Veronica  (author)
  • Gispert, Juan Domingo  (author)

Attachments