Month: January 2023

2.5D and 3D segmentation of brain metastases with deep learning on multinational MRI data

When it comes to detecting and segmenting brain metastases, relying on manual methods can be time-consuming and labor-intensive. However, a new study has found that deep learning models, specifically 2.5D and 3D convolution neural networks, can greatly improve this process. The models were trained and tested on multinational MRI data from two independent centers, using […]

Published on January 18, 2023

Unveiling the Mysterious EEG Markers of Propofol-Induced Loss of Consciousness

Imagine you’re exploring a secret room in an old mansion. As you step inside, the room transforms, revealing hidden treasures and unknown symbols. Similarly, scientists have delved deep into the electroencephalographic (EEG) spectrum to uncover age-independent markers of propofol-induced loss of consciousness (LOC). By breaking down the EEG into its periodic and aperiodic components, researchers […]

Published on January 18, 2023

Tracking Aging: Simultaneous Monitoring of Behavior and Brain Activity Unveils Insights

Understanding the effects of aging and neurodegenerative diseases requires a comprehensive approach that combines behavioral and electrophysiological assessments. In this study, researchers present a protocol for long-term recordings of both muscle activity (EMG) and brain activity (EEG) in mice. By implanting wires in the nuchal muscle and using a skull-surface EEG headcap, the team was […]

Published on January 18, 2023