Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

Pregnancy involves radical hormone surges and biological adaptations. However, the
effects of pregnancy on the human brain are virtually unknown. Here we show, using a …

While animal studies have demonstrated a unique reproduction-related neuroplasticity, little
is known on the effects of pregnancy on the human brain. Here we investigated whether …

Recent years have seen an increase in the popularity of multivariate pattern (MVP) analysis
of functional magnetic resonance (fMRI) data, and, to a much lesser extent, magneto-and …

Individualized behavioral/cognitive prediction using machine learning (ML) regression
approaches is becoming increasingly applied. The specific ML regression algorithm and …

Statistical machine learning methods are increasingly used for neuroimaging data analysis.
Their main virtue is their ability to model high-dimensional datasets, eg multivariate analysis …

Objective The long‐term effects of traumatic brain injury (TBI) can resemble observed in
normal ageing, suggesting that TBI may accelerate the ageing process. We investigate this …

MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native
implementations of a range of classifiers and regression models, using modern optimization …

The multivariate analysis of brain signals has recently sparked a great amount of interest, yet
accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce …