Yale University, Dartmouth College, and the University of Cambridge researchers have developed MindLLM, a subject-agnostic model for decoding functional magnetic resonance imaging (fMRI) signals into ...

In a new study, investigators from McLean Hospital (a member of Mass General Brigham), Harvard Medical School and the National Institute on Drug Abuse – Intramural Research Program (NIDA-IRP) ...

In recent times, more effort has been devoted to ascertaining effective screening methods for the early detection of, and subsequent intervention for, psychiatric conditions in children. Recent ...

Researchers found found that as people's arousal levels dwindle during an fMRI, such as if they become more relaxed and sleepy, resulting changes in breathing and heart rates alter blood oxygen levels ...

Patients with brain injury who are unresponsive to commands may perform cognitive tasks that are detected on functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). This ...

Using fMRI data collected from people viewing film clips, MIT neuroscientists created a comprehensive map of the cerebral cortex, identifying 24 networks that perform specific functions. The cerebral ...

Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence, according to Boston College researchers who report in Nature Methods that they have ...

Introduction Dyspnoea is an existentially burdensome symptom in patients with advanced and progressive diseases such as cancer, chronic obstructive pulmonary disease (COPD) and advanced heart failure.