S Hamdan, BC Love, GG von Polier, S Weis… - …, 2023 - academic.oup.com
Background Machine learning (ML) approaches are a crucial component of modern data analysis in many fields, including epidemiology and medicine. Nonlinear ML methods often …
Abstract Changes in spontaneous brain activity at rest provide rich information about behavior and cognition. The mathematical properties of resting-state functional magnetic …
M Ebel, M Domin, N Neumann, CO Schmidt, M Lotze… - Neuroimage …, 2023 - Elsevier
Sex differences in the size of specific brain structures have been extensively studied, but careful and reproducible statistical hypothesis testing to identify them produced overall small …
Abstract Machine learning (ML) approaches are increasingly being applied to neuroimaging data. Studies in neuroscience typically have to rely on a limited set of training data which …
Background Sex differences in language-related abilities have been reported. It is generally assumed that these differences stem from a different organization of language in the brains …
Brain size robustly differs between sexes. However, the consequences of this anatomical dimorphism on sex differences in intrinsic brain function remain unclear. We investigated the …
To understand psychiatric and neurological disorders and the structural and functional properties of the human brain, it is essential to consider the roles of sex and gender. In this …