Numerous machine learning (ML) approaches have been proposed for automatic
classification of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 …

Three-dimensional atlases of subcortical brain structures are valuable tools to reference
anatomy in neuroscience and neurology. For instance, they can be used to study the …

Imaging technologies are increasingly used to generate high-resolution reference maps of
brain structure and function. Comparing experimentally generated maps to these reference …

Recent large-scale collaborations are generating major surveys of cell types and
connections in the mouse brain, collecting large amounts of data across modalities, spatial …

Gene expression fundamentally shapes the structural and functional architecture of the
human brain. Open-access transcriptomic datasets like the Allen Human Brain Atlas provide …

Background Post-stroke cognitive impairment (PSCI) occurs in approximately half of people
in the first year after stroke. Infarct location is a potential determinant of PSCI, but a …

The human brain atlases that allow correlating brain anatomy with psychological and
cognitive functions are in transition from ex vivo histology-based printed atlases to digital …

Our capacity to jointly represent information about the world underpins our social
experience. By leveraging one individual's brain activity to model another's, we can measure …

Diffeomorphic deformable image registration is crucial in many medical image studies, as it
offers unique, special features including topology preservation and invertibility of the …

For the past 25 years, the field of neuroimaging has witnessed the development of several
software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to …