Multiple sclerosis (MS) is a debilitating autoimmune disorder. Currently, there is a lack of
effective treatment for the progressive form of MS, partly due to insensitive readout for …

Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS,
which can be compared across CNS regions, patients, and centres. In patients with multiple …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Abstract The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing,
nationwide study of the effects of environmental influences on behavioral and brain …

The brain is characterized by heterogeneous patterns of structural connections supporting
unparalleled feats of cognition and a wide range of behaviours. New non-invasive imaging …

The superior longitudinal fasciculus (SLF) is part of the longitudinal association fiber system,
which lays connections between the frontal lobe and other areas of the ipsilateral …

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 …

Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Diffusion Imaging in Python (Dipy) is a free and open source software project for the analysis
of data from diffusion magnetic resonance imaging (dMRI) experiments. dMRI is an …

Electromagnetic source characterisation requires accurate volume conductor models
representing head geometry and the electrical conductivity field. Head tissue conductivity is …