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linking brain biology to intellectual endowment: a review on the associations of human intelligence with neuroimaging data
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نویسنده
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satary dizaji aslan ,vieira bruno hebling ,khodaei mohmmad reza ,ashrafi mahnaz ,parham elahe ,hossein zadeh gholam ali ,salmon carlos ernesto garrido ,soltanianzadeh hamid
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منبع
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basic and clinical neuroscience - 2021 - دوره : 12 - شماره : 1 - صفحه:1 -28
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چکیده
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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.
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کلیدواژه
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human intelligence ,brain networks ,structural connectivity ,functional connectivity ,morphometry ,dti ,functional magnetic resonance imaging (fmri) ,intelligence predictio
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آدرس
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university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran, university of são paulo, ffclrp, department of physics, inbrain lab, brazil, university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran, university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran, university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran, university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran. institute for research in fundamental sciences (ipm), school of cognitive sciences, iran, university of são paulo, department of physics, inbrain lab, brazil, university of tehran, control and intelligent processing center of excellence (cipce), school of electrical and computer engineering, college of engineering, iran. institute for research in fundamental sciences (ipm), school of cognitive sciences, iran. henry ford health system, radiology image analysis laboratory, usa
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پست الکترونیکی
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hszadeh@ut.ac.ir
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Authors
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