Linking interindividual variability in brain structure to behaviour

S Genon, SB Eickhoff, S Kharabian - Nature Reviews Neuroscience, 2022 - nature.com
What are the brain structural correlates of interindividual differences in behaviour? More
than a decade ago, advances in structural MRI opened promising new avenues to address …

Replicable brain–phenotype associations require large-scale neuroimaging data

S Liu, A Abdellaoui, KJH Verweij… - Nature Human …, 2023 - nature.com
Numerous neuroimaging studies have investigated the neural basis of interindividual
differences but the replicability of brain–phenotype associations remains largely unknown …

[HTML][HTML] On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting

BH Vieira, GSP Pamplona, K Fachinello, AK Silva… - Intelligence, 2022 - Elsevier
Reviews and meta-analyses have proved to be fundamental to establish neuroscientific
theories on intelligence. The prediction of intelligence using invivo neuroimaging data and …

Explainable deep learning for personalized age prediction with brain morphology

A Lombardi, D Diacono, N Amoroso… - Frontiers in …, 2021 - frontiersin.org
Predicting brain age has become one of the most attractive challenges in computational
neuroscience due to the role of the predicted age as an effective biomarker for different brain …

Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research

F Eitel, MA Schulz, M Seiler, H Walter, K Ritter - Experimental Neurology, 2021 - Elsevier
By promising more accurate diagnostics and individual treatment recommendations, deep
neural networks and in particular convolutional neural networks have advanced to a …

The biological basis of intelligence: Benchmark findings

K Hilger, FM Spinath, S Troche, AL Schubert - Intelligence, 2022 - Elsevier
The scientific study of the biological basis of intelligence has been contributing to our
understanding of individual differences in cognitive abilities for decades. In particular, the …

Mapping individual differences across brain network structure to function and behavior with connectome embedding

G Levakov, J Faskowitz, G Avidan, O Sporns - NeuroImage, 2021 - Elsevier
The connectome, a comprehensive map of the brain's anatomical connections, is often
summarized as a matrix comprising all dyadic connections among pairs of brain regions …

Prediction of cognitive performance differences in older age from multimodal neuroimaging data

C Krämer, J Stumme, L da Costa Campos, P Dellani… - Geroscience, 2024 - Springer
Differences in brain structure and functional and structural network architecture have been
found to partly explain cognitive performance differences in older ages. Thus, they may …

The effect of weight loss following 18 months of lifestyle intervention on brain age assessed with resting-state functional connectivity

G Levakov, A Kaplan, AY Meir, E Rinott, G Tsaban… - ELife, 2023 - elifesciences.org
Background: Obesity negatively impacts multiple bodily systems, including the central
nervous system. Retrospective studies that estimated chronological age from neuroimaging …

Age‐ and cognition‐related differences in the gray matter volume of the chimpanzee brain (Pan troglodytes): A voxel‐based morphometry and conjunction analysis

MM Mulholland, CC Sherwood… - American journal of …, 2021 - Wiley Online Library
Several primate species have been shown to exhibit age‐related changes in cognition,
brain, and behavior. However, severe neurodegenerative illnesses, such as Alzheimer's …