Review
Version 2
Preserved in Portico This version is not peer-reviewed
Inferring Neurocognition and Intelligence using Brain MRI
Version 1
: Received: 25 February 2023 / Approved: 27 February 2023 / Online: 27 February 2023 (07:13:16 CET)
Version 2 : Received: 2 March 2023 / Approved: 3 March 2023 / Online: 3 March 2023 (02:44:38 CET)
Version 2 : Received: 2 March 2023 / Approved: 3 March 2023 / Online: 3 March 2023 (02:44:38 CET)
How to cite: Hussain, M. A.; Grant, E.; Ou, Y. Inferring Neurocognition and Intelligence using Brain MRI. Preprints 2023, 2023020452. https://doi.org/10.20944/preprints202302.0452.v2 Hussain, M. A.; Grant, E.; Ou, Y. Inferring Neurocognition and Intelligence using Brain MRI. Preprints 2023, 2023020452. https://doi.org/10.20944/preprints202302.0452.v2
Abstract
Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic support of human neurocognition and intelligence. A core mystery is the MRI explanation of individual differences in neurocognition and 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 need to be carefully considered. This review aims to summarize past work, discuss rising opportunities and challenges, and facilitate further investigations on machine intelligence inferring human intelligence.
Keywords
Neurocognition; MRI; Intelligence; Brain
Subject
Biology and Life Sciences, Neuroscience and Neurology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Mohammad Arafat Hussain
Commenter's Conflict of Interests: Author
- We also did further proofreading to remove grammatical errors.