Functional networks often guide our interpretation of spatial maps of brain–phenotype
associations. However, methods for assessing enrichment of associations within networks of …

In neuroimaging studies, combining data collected from multiple study sites or scanners is
becoming common to increase the reproducibility of scientific discoveries. At the same time …

Our interest in neuroimaging started some 20 years ago, initiated by talks given by Fred
Godtliebsen (UiT, Tromsø, Norway) and by Fridhjof Kruggel (Max-Planck-Institute of …

Clusterwise inference is a popular approach in neuroimaging to increase sensitivity, but
most existing methods are currently restricted to the General Linear Model (GLM) for testing …

Within-individual coupling between measures of brain structure and function evolves in
development and may underlie differential risk for neuropsychiatric disorders. Despite …

Neuroimaging data are a vital part of advancing our understanding of brain health and the
etiology of neuropsychiatric disorders. But the inherent complexity and dimensionality of …

Abstract Functional Magnetic Resonance Imaging (fMRI) maps brain activity by detecting
changes in image intensity related to neural activity by the blood oxygenation level …