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Inferring neurocognition using artificial intelligence on brain MRIs.

Authors :
Hussain, Mohammad Arafat
Grant, Patricia Ellen
Ou, Yangming
Source :
Frontiers in Neuroimaging; 2024, p1-27, 27p
Publication Year :
2024

Abstract

Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic support of human neurocognition. A core mystery is the MRI explanation of individual differences in neurocognition and its manifestation in intelligence. The past four decades have seen great advancement in studying this century-long mystery, but the sample size and population-level studies limit the explanation at the individual level. The recent rise of big data and artificial intelligence offers novel opportunities. Yet, data sources, harmonization, study design, and interpretation must be carefully considered. This review aims to summarize past work, discuss rising opportunities and challenges, and facilitate further investigations on artificial intelligence inferring human neurocognition. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
28131193
Database :
Complementary Index
Journal :
Frontiers in Neuroimaging
Publication Type :
Academic Journal
Accession number :
181566546
Full Text :
https://doi.org/10.3389/fnimg.2024.1455436