Abstract Machine learning techniques have gained prominence for the analysis of resting-
state functional Magnetic Resonance Imaging (rs-fMRI) data. Here, we present an overview …

Most neuroimaging studies of brain function analyze data in normalized space to identify
regions of common activation across participants. These studies treat interindividual …

Misophonia is a common disorder characterized by the experience of strong negative
emotions of anger and anxiety in response to certain everyday sounds, such as those …

Fifteen years ago, Passingham and colleagues proposed that brain areas can be described
in terms of their unique pattern of input and output connections with the rest of the brain, and …

Functional magnetic resonance imaging has revealed correlated activities in brain regions
even in the absence of a task. Initial studies assumed this resting-state functional …

Advances in computational neuroimaging techniques have expanded the armamentarium of
imaging tools available for clinical applications in clinical neuroscience. Non-invasive, in …

The human brain is composed of multiple, discrete, functionally specialized regions that are
interconnected to form large-scale distributed networks. Using advanced brain-imaging …

The search for an 'ideal'approach to investigate the functional connections in the human
brain is an ongoing challenge for the neuroscience community. While resting-state …

Background Use of functional MRI (fMRI) in pre-surgical planning is a non-invasive method
for pre-operative functional map** for patients with brain tumors, especially tumors located …

Brain graphs, which model the structural and functional relationships between brain regions,
are crucial in neuroscientific and clinical applications that can be formulated as graph …