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
MD Rosenberg, ES Finn - Nature Neuroscience, 2022 - nature.com
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 …
[HTML][HTML] 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 mapping approaches to multivariate predictive models …
using traditional univariate brain mapping 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 …
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 …
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] 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 …