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- DISEASE ADVANCES

Machine learning reveals two main Parkinson’s types and five subgroups

A new study led by researchers from VIB and KU Leuven shows that Parkinson’s disease can be divided into distinct subtypes, helping explain why a single treatment does not work for all patients. Using a machine-learning-driven analysis, the team identified two main groups and five subgroups of the disease, marking an important step toward more personalized therapies. The findings are published in Nature Communications.

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Ultrafast MRI uncovers brain signal direction: New scan may help decode autism, Alzheimer’s and hallucinations

Researchers at the Champalimaud Foundation in Lisbon have for the first time managed to identify with an imaging technique whether nervous impulses in the brain of rats are flowing in a “bottom-up” (feedforward), carrying information about visual input, or a “top-down” (feedback) direction, carrying information about expectations or predictions on a given task or about the perception of the world around us.

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