We have developed a novel PET tracer, [¹⁸ F]GSK1482160, and verified its permeability and stability to the blood-brain barrier (BBB) in both rodents and non-human primates using PET imaging techniques. The correlation between the binding of [¹⁸ F]GSK1482160 and Morris water maze (MWM) behavioral analysis suggests that neuroinflammatory regions are susceptible to cognitive impairment in Alzheimer's disease (AD) mice.

A hybrid brain–computer interface (BCI) combining electroencephalography (EEG) with electromyography (EMG) can be effectively utilized to leverage the advantages of the stable predictive power of EEG and the direct correlation of EMG with braking actions for recognizing emergency braking intention from normal driving and soft braking. In this study, four different fusion strategies based on the spectral band and spectral point features were attempted from the perspective of the feature and classifier level. Offline and pseudo-online experimental results demonstrated the effectiveness of the proposed methods.

Illustration of brain-inspired AI-driven scientific research: predicting new information, discovering novel therapies, and designing new materials.

Neurodegenerative diseases (NDs) are rising globally, notably due to an aging population, and current therapeutic options are limited despite extensive research. Type 2 diabetes mellitus (T2DM) is linked to cognitive decline in NDs, and certain antidiabetic drugs, such as glucagon-like peptide-1 receptor agonists and metformin, show potential neuroprotective effects beyond their primary use. This review explores the neuroprotective capabilities of these antidiabetic drugs, investigating mechanisms such as reducing protein aggregation and oxidative stress and concludes with an overview of clinical trials evaluating these drugs for treating ND.