Recurrent episodes in major depressive disorder (MDD) are common but the neuroimaging features predictive of recurrence are not established. Participants in the Predictors of Remission in Depression ...

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 ...

Neuroimaging and machine learning are advancing research into the mechanisms of biological aging. In this field, ‘brain age gap’ has emerged as a promising magnetic resonance imaging-based biomarker ...

Neuroimaging technology has been shown to hold great promise in helping clinicians link specific symptoms of mental health disorders to abnormal patterns of brain activity. But a new study shows there ...

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 ...

Researchers at Oregon Health & Science University and the University of Minnesota Masonic Institute for the Developing Brain leveraged a large national dataset and neuroimaging to confirm the ...

Neuroimaging is facing a reproducibility crisis, Yale School of Medicine (YSM) researchers say. One way scientists use neuroimaging is to create maps of the brain and try to explain how differences in ...

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 ...

NEUROIMAGING highlights a range of neurological findings after lightning injury (LI), including brain edema, intracerebral or subarachnoid bleeding, and ischemia. In the retrospective study, results ...

Researchers at the University of Cincinnati and Dell Medical School at the University of Texas at Austin (Dell Med) are leading a study using state-of-the-art neuroimaging techniques and artificial ...

Indiana University researchers are collaborating on a novel approach to use neuroimaging and network modeling tools - previously developed to analyze brains of patients in the clinic - to investigate ...