Since the development of functional magnetic resonance imaging in the 1990s, the reliance on neuroimaging has skyrocketed as researchers investigate how fMRI data from the brain at rest, and ...

Chronic pain has a personalized "brain fingerprint," allowing AI to decode spontaneous pain levels through fMRI scans.

Most people would categorize computerized tomography (CAT) scans, positron emission tomography (PET) scans, and magnetic resonance imaging (MRI) scans into the same grouping. However, it is important ...

CU-Boulder's new Siemens 3T Trio Magnetic Resonance Imaging System is the most powerful imaging system on campus and will allow brain researchers to use new tools and techniques in the quest to better ...

Neuroscientists are using artificial intelligence (AI) machine learning to identify potential predictive biomarkers by finding patterns in the noisy, complex data of brain images. Can AI algorithms ...

My research is focused on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). The topics I am interested in involve designing new k-space sampling ...

A pioneering neuroimaging study reveals distinct patterns of neurovascular compression in virus-associated vestibulopathies, providing new insights into the potential mechanistic differences between ...