Aligning brain structures across individuals is a central prerequisite for comparative
neuroimaging studies. Typically, registration approaches assume a strong association�…

Inter-subject alignment of functional MRI (fMRI) data is necessary for group analyses. The
standard approach to this problem matches anatomical features of the brain, such as major�…

Population studies of brain function with resting‐state functional magnetic resonance
imaging (rs‐fMRI) rely on accurate intersubject registration of functional areas. This is�…

Matching functional brain regions across individuals is a challenging task, largely due to the
variability in their location and extent. It is particularly difficult, but highly relevant, for patients�…

Population-level inferences and individual-level analyses are two important aspects in
functional magnetic resonance imaging (fMRI) studies. Extracting reliable and informative�…

Spatial alignment of functional magnetic resonance images (fMRI) of different subjects is a
necessary precursor to improve functional consistency across subjects for group analysis in�…

Lack of tissue contrast and existing inhomogeneous bias fields from multi-channel coils
have the potential to degrade the output of registration algorithms; and consequently�…

The inter-subject alignment of functional MRI (fMRI) data is important for improving the
statistical power of fMRI group analyses. In contrast to existing anatomically-based methods�…

A common coordinate space enabling comparison across individuals is vital to
understanding human brain organization and individual differences. By leveraging�…

In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical
sensitivity and spatial localisation of group studies, and cortical surface-based alignment�…