A recent study published in Physical Review Letters reveals that many widely used signatures of criticality in brain data may be statistical artifacts. They propose a more robust framework that, when ...

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 ...

Magnetic resonance imaging (MRI) at 3T is a cornerstone for neuroscientific research due to its widespread availability and versatility. The advent of ultra-high field (≥7T) scanners has significantly ...

New York, NY (August 5, 2024) — The Child Mind Institute has released a paper detailing their pioneering study in the journal Nature Human Behaviour titled, "Moving Beyond Processing and ...

The Child Mind Institute has released a paper detailing their pioneering study in the journal Nature Human Behaviour titled, "Moving Beyond Processing and Analysis-Related Variation in Resting State ...

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 ...

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 ...

Reactivity maps for female and male study participants comparing bright yellow (highly reactive, healthy) regions in the female brain, vs. the lower reactivity (greens and blues) more common in the ...