Mindboggle ( http://mindboggle.info ) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …

The rate of progress in human neurosciences is limited by the inability to easily apply a wide
range of analysis methods to the plethora of different datasets acquired in labs around the …

Context Current behavioral measures poorly predict treatment outcome in social anxiety
disorder (SAD). To our knowledge, this is the first study to examine neuroimaging-based …

Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively
studying the organization of white matter in the human brain. Here we introduce QSIPrep…

Objective A major challenge in multiple sclerosis (MS) research is the understanding of
silent progression and Progressive MS. Using a novel method to accurately capture upper …

Importance In multiple sclerosis (MS), upper cervical cord gray matter (GM) atrophy correlates
more strongly with disability than does brain or cord white matter (WM) atrophy. The …

Brain volumetric measurements in multiple sclerosis (MS) reflect not only disease-specific
processes but also other sources of variability. The latter has to be considered especially in …

Importance Although multiple HLA alleles associated with multiple sclerosis (MS) risk have
been identified, genotype-phenotype studies in the HLA region remain scarce and …

Human neuroscience research faces several challenges with regards to reproducibility. While
scientists are generally aware that data sharing is important, it is not always clear how to …

Big Data promises to advance science through data-driven discovery. However, many standard
lab protocols rely on manual examination, which is not feasible for large-scale datasets. …