Normative modeling is an emerging and innovative framework for map** individual
differences at the level of a single subject or observation in relation to a reference model. It …

Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

In this work, we expand the normative model repository introduced in Rutherford et al.,
2022a to include normative models charting lifespan trajectories of structural surface area …

Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification
of lesion burden and accurate image processing. Current automated lesion segmentation …

Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …

Neuroimaging research requires purpose-built analysis software, which is challenging to
install and may produce different results across computing environments. The community …

This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …

Laterality indices (LIs) quantify the left-right asymmetry of brain and behavioural variables
and provide a measure that is statistically convenient and seemingly easy to interpret …

Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …

Multimodal neuroimaging grants a powerful in vivo window into the structure and function of
the human brain. Recent methodological and conceptual advances have enabled …