A group of neuroscientists based at University of California San Diego School of Medicine has applied an approach to neuroimaging that they believe will reinvigorate the work of many of their fellow ...

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

Researchers have created a new cortical surface template called 'OpenNeuro Average,' or 'onavg' for short, which provides greater accuracy and efficiency in analyzing neuroimaging data. The human ...

EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

Prof. Dr. Guido van Wingen discusses the potential of, and barriers to, the use of AI in transforming the treatment of depression ...

Until recently, getting an MRI meant traveling to the hospital. But a new generation of more affordable and highly portable MRI (pMRI) devices are rapidly reshaping neuroimaging research and clinical ...

Experts from the Translational Research in Neuroimaging and Data Science (TReNDS) Center at Georgia State University will play a key role in the largest study ever conducted to investigate the causes ...

A new method for neuroimaging analysis is shown to work with small groups of participants, opening the door for many studies that don't have access to massive sets of brain images. A group of ...