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 …
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 …
[HTML][HTML] Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
How individual differences in brain network organization track behavioral variability is a
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
fundamental question in systems neuroscience. Recent work suggests that resting-state and …
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 …
Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities
Diverse cognitive processes set different demands on locally segregated and globally
integrated brain activity. However, it remains an open question how resting brains configure …
integrated brain activity. However, it remains an open question how resting brains configure …
Individual-specific areal-level parcellations improve functional connectivity prediction of behavior
Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of
individual-specific cortical parcellations. We have previously developed a multi-session …
individual-specific cortical parcellations. We have previously developed a multi-session …
[HTML][HTML] Ten simple rules for predictive modeling of individual differences in neuroimaging
Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …
measures and generalize to novel individuals remains a challenge in neuroimaging …
Benchmarking functional connectome-based predictive models for resting-state fMRI
Functional connectomes reveal biomarkers of individual psychological or clinical traits.
However, there is great variability in the analytic pipelines typically used to derive them from …
However, there is great variability in the analytic pipelines typically used to derive them from …
Revisiting the functional anatomy of the human brain: toward a meta-networking theory of cerebral functions
G Herbet, H Duffau - Physiological Reviews, 2020 - journals.physiology.org
For more than one century, brain processing was mainly thought in a localizationist
framework, in which one given function was underpinned by a discrete, isolated cortical …
framework, in which one given function was underpinned by a discrete, isolated cortical …
General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks
Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool
in the study of the human brain. However, due to practical limitations, many studies do not …
in the study of the human brain. However, due to practical limitations, many studies do not …