Linking interindividual variability in brain structure to behaviour
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 …
than a decade ago, advances in structural MRI opened promising new avenues to address …
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
The challenges and prospects of brain-based prediction of behaviour
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …
Recently, the predictive modelling approach has become increasingly popular, largely due …
[HTML][HTML] A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
The pathological mechanism of attention deficit hyperactivity disorder (ADHD) is
incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic …
incompletely specified, which leads to difficulty in precise diagnosis. Functional magnetic …
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships
Although both resting and task-induced functional connectivity (FC) have been used to
characterize the human brain and cognitive abilities, the potential of task-induced FCs in …
characterize the human brain and cognitive abilities, the potential of task-induced FCs in …
[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
[HTML][HTML] Connectome-based models can predict processing speed in older adults
Decrement in processing speed (PS) is a primary cognitive morbidity in clinical populations
and could significantly influence other cognitive functions, such as attention and memory …
and could significantly influence other cognitive functions, such as attention and memory …
Investigating cognitive neuroscience theories of human intelligence: A connectome‐based predictive modeling approach
ED Anderson, AK Barbey - Human Brain Mapping, 2023 - Wiley Online Library
Central to modern neuroscientific theories of human intelligence is the notion that general
intelligence depends on a primary brain region or network, engaging spatially localized …
intelligence depends on a primary brain region or network, engaging spatially localized …
Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Autism spectrum disorder (ASD) is a neurodevelopmental condition with early childhood
onset and high heterogeneity. As the pathogenesis is still elusive, ASD diagnosis is …
onset and high heterogeneity. As the pathogenesis is still elusive, ASD diagnosis is …
A neuroimaging signature of cognitive aging from whole‐brain functional connectivity
Cognitive decline is amongst one of the most commonly reported complaints during normal
aging. Despite evidence that age and cognition are linked with similar neural correlates, no …
aging. Despite evidence that age and cognition are linked with similar neural correlates, no …