A new MIT study in Cell of 3.5 million cells from more than 100 human brains finds that Alzheimer’s progression—but also resilience to disease—depends on preserving epigenomic stability.

For the first time, scientists directly measured how dopamine and serotonin signals diverge in people with Parkinson’s disease versus essential tremor, revealing a fundamental difference between the two movement disorders. This distinction, captured through real-time recordings during surgery, may help sharpen diagnoses and guide more targeted treatments for patients with tremor-related disorders.

UCLA engineers have developed a wearable, noninvasive brain-computer interface system that utilizes artificial intelligence as a co-pilot to help infer user intent and complete tasks by moving a robotic arm or a computer cursor. Published in Nature Machine Intelligence, the study shows that the interface demonstrates a new level of performance in noninvasive brain-computer interface, or BCI, systems. This could lead to a range of technologies to help people with limited physical capabilities, such as those with paralysis or neurological conditions, handle and move objects more easily and precisely.

New research from WashU Medicine reveals how normal electrical signals from neurons may be co-opted by certain pediatric brain tumors to boost their own growth, suggesting novel pathways for treatment.