NeuroImage

- Proposes a deep-learning technology that separates brain signals into “rhythms” and “background signals” without compromising temporal resolution. - Improves gait prediction performance in patients with Parkinson’s disease and sensitively detects the effects of electrical stimulation therapy. - Findings published in NeuroImage, a top-tier international journal in the field of neuroimaging.

Human brains learn patterns over time and we don’t even realize it. New insight into how this works could improve learning and other cognitive processes.

Researchers at the Smart-Aging Research Center (IDAC) at Tohoku University have developed an innovative training protocol that, utilizing immersive virtual reality (IVR), leads to real physical and cognitive benefits.

Researchers identify a part of the brain that helps execute cooperative tasks.