Volume 12, Issue 1 (January & February 2021)
BCN 2021, 12(1): 1-28 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Dizaji A, Hebling Vieira B, Khodaei M R, Ashrafi M, Parham E, Hossein-Zadeh G A, et al . Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data. BCN 2021; 12 (1) :1-28
URL: http://bcn.iums.ac.ir/article-1-1766-en.html
URL: http://bcn.iums.ac.ir/article-1-1766-en.html
Aslan Dizaji1 
, Bruno Hebling Vieira2 , Mohmmad Reza Khodaei1 , Mahnaz Ashrafi1 , Elahe Parham1 , Gholam Ali Hossein-Zadeh1 , Carlos Ernesto Garrido Salmon2 , Hamid Soltanian Zadeh * 1
, Bruno Hebling Vieira2 , Mohmmad Reza Khodaei1 , Mahnaz Ashrafi1 , Elahe Parham1 , Gholam Ali Hossein-Zadeh1 , Carlos Ernesto Garrido Salmon2 , Hamid Soltanian Zadeh * 1
1- Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
2- Inbrain Lab, Department of Physics, FFCLRP, University of São Paulo, Ribeirao Preto, Brazil.
2- Inbrain Lab, Department of Physics, FFCLRP, University of São Paulo, Ribeirao Preto, Brazil.
Abstract:
Human intelligence has always been a fascinating subject for scientists. Since the inception of Spearman’s general intelligence in the early 1900s, there has been significant progress towards characterizing different aspects of intelligence and its relationship with structural and functional features of the brain. In recent years, the invention of sophisticated brain imaging devices using Diffusion-Weighted Imaging (DWI) and functional Magnetic Resonance Imaging (fMRI) has allowed researchers to test hypotheses about neural correlates of intelligence in humans.This review summarizes recent findings on the associations of human intelligence with neuroimaging data. To this end, first, we review the literature that has related brain morphometry to intelligence. Next, we elaborate on the applications of DWI and resting-state fMRI on the investigation of intelligence. Then, we provide a survey of literature that has used multimodal DWI-fMRI to shed light on intelligence. Finally, we discuss the state-of-the-art of individualized prediction of intelligence from neuroimaging data and point out future strategies. Future studies hold promising outcomes for machine learning-based predictive frameworks using neuroimaging features to estimate human intelligence.
Keywords: Human intelligence, Brain networks, Structural connectivity, Functional connectivity, Morphometry, DTI, functional Magnetic Resonance Imaging (fMRI), Intelligence predictio
Type of Study: Review |
Subject:
Cognitive Neuroscience
Received: 2020/04/26 | Accepted: 2020/10/28 | Published: 2021/01/1
Received: 2020/04/26 | Accepted: 2020/10/28 | Published: 2021/01/1
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Copyright © The Author(s);
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Contact Information
