More information: Christiana Westlin et al, Machine learning classification of functional neurological disorder using structural brain MRI features, Journal of Neurology, Neurosurgery & Psychiatry ...

machine learning models were trained using functional MRI data from one group of patients to predict optimal stimulation parameter settings for another group of patients. Conventional deep brain ...

Researchers have long used one version of this technology, known as blood oxygen level–dependent functional MRI (BOLD fMRI), to study how the human brain works ... Bandettini notes that hacking an MRI ...

The software developed by XNef hinges on resting-state functional MRI (rs-fMRI ... several studies have developed machine-learning algorithms that use brain network markers to differentiate ...

Researchers at the University of Antwerp and the University of Liège (both Belgium) have identified areas of the brain that adapt to being in ... The researchers of this study used functional MRI ...

Major types of brain imaging techniques used today include functional magnetic resonance ... a magnetic field produced by a tube-shaped machine. An MRI system makes use of the magnetic properties ...

New therapeutic techniques, including immuno-, gene and cell therapy, brain-machine ... quantitative MRI measures of microstructure and tissue composition alongside metabolic and functional ...

By employing machine learning to analyze brain connectivity ... Brain connectivity was assessed using functional magnetic resonance imaging (fMRI) during resting states and seven tasks designed ...

This curiosity surrounding the complex mechanisms and relationships underpinning brain ... (MRI) research, with a heavy emphasis on its clinical application. “My background is in human ...

UCHealth Parkview in Pueblo has upgraded its imaging technology with the installation of a state-of-the-art magnetic resonance imaging (MRI) machine ... issues in the brain, bones, and joints.