New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...

Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...

Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of ...