Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach-Reference-Cited by-同舟云学术

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

Published:2020-03 Issue: Volume:208 Page:116456
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Bachli M. Belen,Sedeño Lucas,Ochab Jeremi K.,Piguet Olivier,Kumfor Fiona,Reyes Pablo,Torralva Teresa,Roca María,Cardona Juan Felipe,Campo Cecilia Gonzalez,Herrera Eduar,Slachevsky Andrea,Matallana Diana,Manes Facundo,García Adolfo M.,Ibáñez Agustín,Chialvo Dante R.

Funder

Jagellonian University-UNSAM Cooperation Agreement

CEUNIM-INCYT-CEMSC3

National Science Centre

CONICET

Escuela de Ciencia y Tecnología, UNSAM

CONICET; CONICYT/FONDECYT Regular

FONDAP

Inter-American Development Bank

PICT

INECO Foundation

National Institute On Aging of the National Institutes of Health

COLCIENCIAS

National Health and Medical Research Council

Australian Research Council (ARC) Centre of Excellence in Cognition

NHMRC-ARC Dementia Research Development Fellowship

NHMRC Senior Research Fellowship

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference100 articles.

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3. Single subject prediction of brain disorders in neuroimaging: promises and pitfalls;Arbabshirani;Neuroimage,2017

4. Comparing moral judgments of patients with frontotemporal dementia and frontal stroke;Baez;JAMA neurology,2014

5. Primary empathy deficits in frontotemporal dementia;Baez;Front. Aging Neurosci.,2014

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