Neurodegeneration – News and Features

A new, more sustainable AI model recognizes visual scenes by mirroring brain processes, opening doors for applications in medical diagnostics, drug discovery and beyond.

Researchers identified plasma proteins linked to brain aging using imaging and proteomics. Key biomarkers, like BCAN and GDF15, highlight early molecular signs of cognitive decline and disease risk.

Scientists discovered a key protein, SLIRP, vital for muscle energy production. Exercise was found to bypass genetic defects affecting mitochondrial function. The findings could lead to therapies mimicking exercise’s benefits.

Researchers at the University of Birmingham developed a neuroimaging model to capture complex, multi-region brain interactions. Using fMRI data, the method links higher-order signals to specific tasks, behaviors, and individual brain “fingerprints.”

Japanese researchers developed a deep-learning AI model to predict organoid quality early in development, achieving 70% accuracy compared to less than 60% by experts. The model classifies organoids without genetic modification.

A USC-led study on epilepsy patients highlights how adult neurogenesis supports verbal learning and memory. The findings link cognitive decline to reduced neurogenesis in the hippocampus, offering insights for therapies targeting aging brains.

A study from Arizona State University links glyphosate, a widely used herbicide, to Alzheimer’s-like brain damage and persistent neuroinflammation in mice. Findings show lasting effects even at regulatory "safe" doses.

A novel computational pipeline has been designed to identify protein biomarkers associated with complex diseases, including Alzheimer’s disease.

New discoveries that provide a deeper understanding of how Alzheimer's develops have emerged from spider brain research.

Researchers have discovered that the armlike structure of mammalian brain cells may be a different shape than previously thought.