On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting-Reference-Cited by-同舟云学术

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On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting

Published:2022-07 Issue: Volume:93 Page:101654
ISSN:0160-2896
Container-title:Intelligence
language:en
Short-container-title:Intelligence

Author:

Vieira Bruno Hebling,Pamplona Gustavo Santo Pedro,Fachinello Karim,Silva Alice Kamensek,Foss Maria Paula,Salmon Carlos Ernesto Garrido

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Fundação de Amparo à Pesquisa do Estado de São Paulo

Universität Zürich

Publisher

Elsevier BV

Subject

Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference121 articles.

1. Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning;Abrol;Nature Communications,2021

2. Prevalence and pattern of learning difficulties in primary school students in Jordan;Abu-Hamour;Australian Journal of Learning Difficulties,2016

3. Beware of R2: simple, unambiguous assessment of the prediction accuracy of QSAR and QSPR models;Alexander;Journal of Chemical Information and Modeling,2015

4. Association of heritable cognitive ability and psychopathology with white matter properties in children and adolescents;Alnæs;JAMA Psychiatry,2018

5. Distributed patterns of functional connectivity predict working memory performance in novel healthy and memory-impaired individuals;Avery;Journal of Cognitive Neuroscience,2019

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