fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance-Reference-Cited by-同舟云学术

fMRI functional connectivity is a better predictor of general intelligence than cortical morphometric features and ICA parcellation order affects predictive performance

Published:2023-03 Issue: Volume:97 Page:101727
ISSN:0160-2896
Container-title:Intelligence
language:en
Short-container-title:Intelligence

Author:

de Souza Erick Almeida,Silva Stéphanie Andrade,Vieira Bruno Hebling,Salmon Carlos Ernesto Garrido

Funder

NIH Blueprint for Neuroscience Research

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Fundação de Amparo à Pesquisa do Estado de São Paulo

Universidade de São Paulo

Universität Zürich

National Institutes of Health

Universidade de São Paulo Pró-Reitoria de Pesquisa

Publisher

Elsevier BV

Subject

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

Reference77 articles.

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

2. Intelligence and brain structure in normal individuals;Andreasen;American Journal of Psychiatry,1993

3. Network neuroscience theory of human intelligence;Barbey;Trends in Cognitive Sciences,2018

4. An integrative architecture for general intelligence and executive function revealed by lesion mapping;Barbey;Brain,2012

5. The Cambridge handbook of intelligence and cognitive neuroscience;Barbey,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. fMRI-based spatio-temporal parcellations of the human brain;Current Opinion in Neurology;2024-05-27

2. Beyond functional connectivity: deep learning applied to resting-state fMRI time series in the prediction of 58 human traits in the HCP;2024-03-12