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] 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 …
[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 …
[HTML][HTML] Movie-watching outperforms rest for functional connectivity-based prediction of behavior
ES Finn, PA Bandettini - NeuroImage, 2021 - Elsevier
A major goal of human neuroscience is to relate differences in brain function to differences
in behavior across people. Recent work has established that whole-brain functional …
in behavior across people. Recent work has established that whole-brain functional …
Network neuroscience of creative cognition: mapping cognitive mechanisms and individual differences in the creative brain
Highlights•We review cognitive mechanisms of brain networks supporting creative
cognition.•Mechanisms include memory retrieval, response inhibition, and internal …
cognition.•Mechanisms include memory retrieval, response inhibition, and internal …
Machine learning in resting-state fMRI analysis
Abstract Machine learning techniques have gained prominence for the analysis of resting-
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …
How to interpret resting-state fMRI: ask your participants
Resting-state fMRI (rsfMRI) reveals brain dynamics in a task-unconstrained environment as
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …
subjects let their minds wander freely. Consequently, resting subjects navigate a rich space …
[HTML][HTML] Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
ES Finn, MD Rosenberg - NeuroImage, 2021 - Elsevier
Recent years have seen a surge of research on variability in functional brain connectivity
within and between individuals, with encouraging progress toward understanding the …
within and between individuals, with encouraging progress toward understanding the …
[HTML][HTML] Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies
Dynamic functional connectivity (DFC) aims to maximize resolvable information from
functional brain scans by considering temporal changes in network structure. Recent work …
functional brain scans by considering temporal changes in network structure. Recent work …