But this capability is now a step closer thanks to the work of Weikang Qiu at Yale University in New Haven, and colleagues, who have developed an AI system capable of decoding fMRI scans. The machine, ...

Strictly speaking, fMRI machines measure the blood's oxygen level through a technique called blood oxygenation level-dependent (BOLD) contrast. The BOLD fMRI signal is supposedly related to blood ...

A new neuroimaging study has revealed that viewing nature can help ease how people experience pain, by reducing the brain ...

But fMRI machines cost millions of dollars and can outweigh a fully grown elephant, limiting their usefulness outside the lab. Because neuroscientists are generally unwilling to stick recording ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after ...

The participants were placed in a functional magnetic resonance imaging machine (fMRI), which measures brain activity by monitoring blood flow. The researchers then showed each person 30 words ...

Nancy Kanwisher was granted access to the functional magnetic resonance imaging (fMRI) machine at the Massachusetts General Hospital. After making little headway using the nascent technology to ...

Using high-resolution fMRI data collected by an NIH-funded consortium, the researchers analyzed brain activity from 176 people as they watched a variety of movie clips. Then they used a machine ...

fMRI machines are huge, noisy and expensive, so many commercial research companies use less intrusive electroencephalograms (EEGs) instead. Subjects wear a cap ...

The XNef classifier is not the first to be developed using rs-fMRI data; several studies have developed machine-learning algorithms that use brain network markers to differentiate people with ...