Predicting fluid intelligence in adolescence from structural MRI with deep learning methods

S Saha, A Pagnozzi, D Bradford, J Fripp - Intelligence, 2021 - Elsevier
Background The objective of this study was to investigate the potential of unsegmented
structural T1w MR images of adolescent brain for predicting uncorrected/actual fluid …

[HTML][HTML] A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction

Y Wu, P Besson, EA Azcona, SK Bandt, TB Parrish… - Scientific reports, 2022 - nature.com
The relationship of human brain structure to cognitive function is complex, and how this
relationship differs between childhood and adulthood is poorly understood. One strong …

Inferring neurocognition and intelligence using brain mri

MA Hussain, E Grant, Y Ou - 2023 - preprints.org
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 …

Novel age-dependent cortico-subcortical morphologic interactions predict fluid intelligence: A multi-cohort geometric deep learning study

Y Wu, P Besson, EA Azcona, SK Bandt, TB Parrish… - BioRxiv, 2020 - biorxiv.org
Brain structure is tightly coupled with brain functions, but it remains unclear how cognition is
related to brain morphology, and what is consistent across neurodevelopment. In this work …

Can deep learning predict human intelligence from structural brain MRI?

MA Hussain, D LaMay, E Grant, Y Ou - bioRxiv, 2023 - biorxiv.org
Can brain structure predict human intelligence? T1-weighted structural brain magnetic
resonance images (sMRI) have been correlated with intelligence. Nevertheless, population …