Title of article :
Linking Brain Biology to Intellectual Endowment: A Review on the Associations of Human Intelligence With Neuroimaging Data
Author/Authors :
Satary Dizaji ، Aslan Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Vieira ، Bruno Hebling Department of Physics, Inbrain Lab - FFCLRP - University of São Paulo , Khodaei ، Mohmmad Reza Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Ashrafi ، Mahnaz Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Parham ، Elahe Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Hossein Zadeh ، Gholam Ali Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran , Salmon ، Carlos Ernesto Garrido Department of Physics, Inbrain Lab - University of São Paulo , Soltanianzadeh ، Hamid Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering - University of Tehran
From page :
1
To page :
28
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 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-theart 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
Journal title :
Basic and Clinical Neuroscience
Journal title :
Basic and Clinical Neuroscience
Record number :
2619945
Link To Document :
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