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 …
Establishment of best practices for evidence for prediction: a review
Importance Great interest exists in identifying methods to predict neuropsychiatric disease
states and treatment outcomes from high-dimensional data, including neuroimaging and …
states and treatment outcomes from high-dimensional data, including neuroimaging and …
How to establish robust brain–behavior relationships without thousands of individuals
Can studying individual differences in brain structure and function reveal individual
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …
Brain–phenotype models fail for individuals who defy sample stereotypes
Individual differences in brain functional organization track a range of traits, symptoms and
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …
Cross-ethnicity/race generalization failure of behavioral prediction from resting-state functional connectivity
Algorithmic biases that favor majority populations pose a key challenge to the application of
machine learning for precision medicine. Here, we assessed such bias in prediction models …
machine learning for precision medicine. Here, we assessed such bias in prediction models …
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 map** approaches to multivariate predictive models …
using traditional univariate brain map** approaches to multivariate predictive models …
A neuroimaging biomarker for sustained experimental and clinical pain
Sustained pain is a major characteristic of clinical pain disorders, but it is difficult to assess in
isolation from co-occurring cognitive and emotional features in patients. In this study, we …
isolation from co-occurring cognitive and emotional features in patients. In this study, we …
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 …
Forecasting plastic waste generation and interventions for environmental hazard mitigation
Plastic waste and its environmental hazards have been attracting public attention as a
global sustainability issue. This study builds a neural network model to forecast plastic waste …
global sustainability issue. This study builds a neural network model to forecast plastic waste …
[HTML][HTML] What have we really learned from functional connectivity in clinical populations?
Functional connectivity (FC), or the statistical interdependence of blood-oxygen dependent
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …
level (BOLD) signals between brain regions using fMRI, has emerged as a widely used tool …