Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach

Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach

Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively analyze multidimensional measures and increase diagnostic confidence. Yet, wide...

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Bibliographic Details
Main Authors: M. Belen Bachli, Lucas Sedeño, Jeremi K. Ochab, Olivier Piguet, Fiona Kumfor, Pablo Reyes, Teresa Torralva, María Roca, Juan Felipe Cardona, Cecilia Gonzalez Campo, Eduar Herrera, Andrea Slachevsky, Diana Matallana, Facundo Manes, Adolfo M. García, Agustín Ibáñez, Dante R. Chialvo
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:NeuroImage
Subjects:
Alzheimer’s disease
Frontotemporal dementia
Machine-learning
Executive functions
Voxel-based morphometry
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S105381191931047X

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http://www.sciencedirect.com/science/article/pii/S105381191931047X

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