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

Autor
Casamitjana, A.; Petrone, P.; Tucholka, A.; Falcón, C.; Skouras, S.; Molinuevo, J.; Vilaplana, V.; Gispert, J.
Tipus d'activitat
Article en revista
Revista
Journal Alzheimer's disease
Data de publicació
2018
Volum
64
Número
4
Pàgina inicial
1099
Pàgina final
1112
DOI
https://doi.org/10.3233/JAD-180299 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/127331 Obrir en finestra nova
URL
https://content.iospress.com/journals/journal-of-alzheimers-disease/64/4 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Amyloid pathology, Clinical trial, Machine learning, Preclinical Alzheimer’s disease, Screening, Secondaryprevention
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants

Arxius