Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Objectives To systematically identify and qualitatively review the statistical approaches used
in prospective cohort studies of team sports that reported intensive longitudinal data (ILD)(> …

Introduction Childhood undernutrition is a major public health problem especially in low and
middle-income countries (LMIC). The prevalence of early introduction of complementary …

Humans vary considerably in their ability to perform and learn new motor skills. In addition,
they respond to different performance and practice conditions in varying ways. Historically …

Background Elevated maternal psychological distress during pregnancy is linked to adverse
outcomes in offspring. The potential effects of intensified levels of maternal distress during …

In neuroscience research, longitudinal data are often analysed using analysis of variance
(ANOVA) and multivariate analysis of variance (MANOVA) for repeated measures …

Abstract Studies applying Free Water Imaging have consistently reported significant global
increases in extracellular free water (FW) in populations of individuals with early psychosis …

Importance Children raised in settings with lower parental socioeconomic status are at
increased risk for neuropsychological disorders. However, to date, the association between …

Although speech declines rapidly in some individuals with amyotrophic lateral sclerosis
(ALS), longitudinal changes in speech have rarely been characterized. The study objectives …

In recent years, several deep learning models recommend first to represent Magnetic
Resonance Imaging (MRI) as latent features before performing a downstream task of interest …