[HTML][HTML] MRI economics: Balancing sample size and scan duration in brain wide association studies
A pervasive dilemma in neuroimaging is whether to prioritize sample size or scan duration
given fixed resources. Here, we systematically investigate this trade-off in the context of …
given fixed resources. Here, we systematically investigate this trade-off in the context of …
[HTML][HTML] Identifying sex-specific risk architectures for predicting amyloid deposition using neural networks
In older adults without dementia, White Matter Hyperintensities (WMH) in MRI have been
shown to be highly associated with cerebral amyloid deposition, measured by the Pittsburgh …
shown to be highly associated with cerebral amyloid deposition, measured by the Pittsburgh …
Multivariate resting-state functional connectomes predict and characterize obesity phenotypes
The univariate obesity–brain associations have been extensively explored, while little is
known about the multivariate associations between obesity and resting-state functional …
known about the multivariate associations between obesity and resting-state functional …
[PDF][PDF] Putting behaviour back into brain–behaviour correlation analyses
A fundamental challenge for human neuroscience is to relate imprecise measures of the
brain with imprecise measures of behaviour. The recent study by Marek et al.(1) has …
brain with imprecise measures of behaviour. The recent study by Marek et al.(1) has …
Using graph theory as a common language to combine neural structure and function in models of healthy cognitive performance
MC Litwińczuk, N Muhlert… - Human Brain …, 2023 - Wiley Online Library
Graph theory has been used in cognitive neuroscience to understand how organisational
properties of structural and functional brain networks relate to cognitive function. Graph …
properties of structural and functional brain networks relate to cognitive function. Graph …
[HTML][HTML] Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
To learn multiscale functional connectivity patterns of the aging brain, we built a brain age
prediction model of functional connectivity measures at seven scales on a large fMRI …
prediction model of functional connectivity measures at seven scales on a large fMRI …
Replicable multivariate BWAS with moderate sample sizes
Abstract Brain-Wide Association Studies (BWAS) have become a dominant method for
linking mind and brain over the past 30 years. Univariate models test tens to hundreds of …
linking mind and brain over the past 30 years. Univariate models test tens to hundreds of …
[HTML][HTML] Dynamic functional connectivity better predicts disability than structural and static functional connectivity in people with multiple sclerosis
Background: Advanced imaging techniques such as diffusion and functional MRI can be
used to identify pathology-related changes to the brain's structural and functional …
used to identify pathology-related changes to the brain's structural and functional …
Determining four confounding factors in individual cognitive traits prediction with functional connectivity: an exploratory study
Resting-state functional connectivity (RSFC) has been widely adopted for individualized trait
prediction. However, multiple confounding factors may impact the predicted brain-behavior …
prediction. However, multiple confounding factors may impact the predicted brain-behavior …
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance
We propose a geometric deep-learning-based framework, TractGeoNet, for performing
regression using diffusion magnetic resonance imaging (dMRI) tractography and associated …
regression using diffusion magnetic resonance imaging (dMRI) tractography and associated …