Preprint Review Version 2 Preserved in Portico This version is not peer-reviewed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)

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

Comments (1)

Comment 1
Received: 3 March 2023
Commenter: Mohammad Arafat Hussain
Commenter's Conflict of Interests: Author
Comment: - In the online version, there were Errors in referencing tables and figures. We fixed it by replacing automatic referencing with manual text for the time being. 

- We also did further proofreading to remove grammatical errors.
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