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Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data
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 feature...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Neuroscience Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114859/ https://www.ncbi.nlm.nih.gov/pubmed/33995924 http://dx.doi.org/10.32598/bcn.12.1.574.1 |
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author | Satary Dizaji, Aslan Vieira, Bruno Hebling Khodaei, Mohmmad Reza Ashrafi, Mahnaz Parham, Elahe Hosseinzadeh, Gholam Ali Salmon, Carlos Ernesto Garrido Soltanianzadeh, Hamid |
author_facet | Satary Dizaji, Aslan Vieira, Bruno Hebling Khodaei, Mohmmad Reza Ashrafi, Mahnaz Parham, Elahe Hosseinzadeh, Gholam Ali Salmon, Carlos Ernesto Garrido Soltanianzadeh, Hamid |
author_sort | Satary Dizaji, Aslan |
collection | PubMed |
description | 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 restingstate 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. |
format | Online Article Text |
id | pubmed-8114859 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Iranian Neuroscience Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-81148592021-05-14 Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data Satary Dizaji, Aslan Vieira, Bruno Hebling Khodaei, Mohmmad Reza Ashrafi, Mahnaz Parham, Elahe Hosseinzadeh, Gholam Ali Salmon, Carlos Ernesto Garrido Soltanianzadeh, Hamid Basic Clin Neurosci Review Paper 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 restingstate 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. Iranian Neuroscience Society 2021 2021-01-01 /pmc/articles/PMC8114859/ /pubmed/33995924 http://dx.doi.org/10.32598/bcn.12.1.574.1 Text en Copyright© 2021 Iranian Neuroscience Society https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Review Paper Satary Dizaji, Aslan Vieira, Bruno Hebling Khodaei, Mohmmad Reza Ashrafi, Mahnaz Parham, Elahe Hosseinzadeh, Gholam Ali Salmon, Carlos Ernesto Garrido Soltanianzadeh, Hamid Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title | Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title_full | Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title_fullStr | Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title_full_unstemmed | Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title_short | Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data |
title_sort | linking brain biology to intellectual endowment: a review on the associations of human intelligence with neuroimaging data |
topic | Review Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8114859/ https://www.ncbi.nlm.nih.gov/pubmed/33995924 http://dx.doi.org/10.32598/bcn.12.1.574.1 |
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