Schizophrenia is a chronic mental illness affecting up to 1% of the population. While
therapies for positive symptoms are available and efficacious, cognitive and negative …

Our society faces a great diversity of opportunities for youth. The 10-year Growing Up
Together in Society (GUTS) program has the long-term goal to understand which …

Our knowledge of the organisation of the human brain at the population-level is yet to
translate into power to predict functional differences at the individual-level, limiting clinical …

Foundational mathematical abilities, acquired in early childhood, are essential for success in
our technology-driven society. Yet, the neurobiological mechanisms underlying individual …

Abstract The current International League Against Epilepsy (ILAE) definition and
classification guidelines for the first time introduced the category of immune-mediated focal …

The fast-paced development of machine learning (ML) and its increasing adoption in
research challenge researchers without extensive training in ML. In neuroscience, ML can …

We propose a geometric deep-learning-based framework, TractGeoNet, for performing
regression using diffusion magnetic resonance imaging (dMRI) tractography and associated …

Visual imaging experts play an important role in multiple fields, and studies have shown that
the combination of functional magnetic resonance imaging and machine learning …

Most work on functional connectivity (FC) in neuroimaging data prefers longer scan sessions
or greater subject count to improve reliability of brain-behavior relationships or predictive …

Brain-wide association studies (BWASs) have attempted to relate cognitive abilities with
brain phenotypes, but have been challenged by issues such as predictability, test-retest …