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 …
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 …
Prediction complements explanation in understanding the developing brain
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …
behavior. Although we have made significant progress towards this goal, reliance on group …
Toward a unified framework for interpreting machine-learning models in neuroimaging
Abstract Machine learning is a powerful tool for creating computational models relating brain
function to behavior, and its use is becoming widespread in neuroscience. However, these …
function to behavior, and its use is becoming widespread in neuroscience. However, these …
The burden of reliability: How measurement noise limits brain-behaviour predictions
Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …
differences and identify biomarkers for clinical applications. One particularly promising …
A Bayesian framework for simultaneously modeling neural and behavioral data
Scientists who study cognition infer underlying processes either by observing behavior (eg,
response times, percentage correct) or by observing neural activity (eg, the BOLD …
response times, percentage correct) or by observing neural activity (eg, the BOLD …
Using connectome-based predictive modeling to predict individual behavior from brain connectivity
Neuroimaging is a fast-developing research area in which anatomical and functional images
of human brains are collected using techniques such as functional magnetic resonance …
of human brains are collected using techniques such as functional magnetic resonance …
Predictive models avoid excessive reductionism in cognitive neuroimaging
G Varoquaux, RA Poldrack - Current opinion in neurobiology, 2019 - Elsevier
Understanding the organization of complex behavior as it relates to the brain requires
modeling the behavior, the relevant mental processes, and the corresponding neural …
modeling the behavior, the relevant mental processes, and the corresponding neural …
Individual differences in cognitive performance are better predicted by global rather than localized BOLD activity patterns across the cortex
Despite its central role in revealing the neurobiological mechanisms of behavior,
neuroimaging research faces the challenge of producing reliable biomarkers for cognitive …
neuroimaging research faces the challenge of producing reliable biomarkers for cognitive …
[HTML][HTML] Computational neuroimaging strategies for single patient predictions
Neuroimaging increasingly exploits machine learning techniques in an attempt to achieve
clinically relevant single-subject predictions. An alternative to machine learning, which tries …
clinically relevant single-subject predictions. An alternative to machine learning, which tries …