An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training.

Cleveland Clinic researchers are three years into a longitudinal brain study, in which volunteers are undergoing periodic medical imaging, cognitive assessments and neuropsychological exams to help ...

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

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 ...

Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.

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 ...

A new study led by researchers at Mass General Brigham suggests that different brain regions activated by creative tasks are ...

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 ...

The Dameca MRI 508 is it – the first in the world to perform reliably and accurately right next to diagnostic equipment with a strong magnetic field. This innovative machine takes patient safety ...

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 ...