User-Friendly, Brain Imaging Integration Software
Summary
A single interface that combines functional imaging of MEG and EEG with visualization and co-registration of MRI and CT.
Overview
Numerous challenges exist in the study of high-frequency brain signals with magnetoencephalography (MEG) and electroencephalography (EEG). Researchers have developed a novel algorithm that involves the calculation of the optimal CxC and source location orientation weights for volumetric source imaging. The system combines MEG/EEG and MRI/CT into a single, automated, and versatile interface. It can also perform source reconstruction and generate high-resolution volumetric source images. The technology is unique because it reconstructs source patterns/patches instead of dipoles or points and can be used to accurately and statistically determine the location of source activity. It has pattern/event recognition, spike detection, template-based event matching and offers complete data visualization: 2D, 3D, static and dynamic, color coding and overlapping.
Applications
- Differentiate brain activity from environmental noise and muscle artifacts
- Evaluate high-frequency oscillations (HFOs, 90–200 Hz), ripples (80–250Hz),fast ripples (250–500Hz), and lower frequency brain signals (<70 Hz)
Value Proposition
- Provides a summary and visualization of MEG recordings within 12.7 hours and usesonly 10GB of computer memory compared to conventional methods that require2-3 days and 1-2 TB storage.
- Analyzes both low and high frequency ranges at source levels.
Market Overview
The global medical image analysis market, reaching ~$2.4B by 2017, is being driven by demand for diagnostic procedures, technology improvements, and consumer demand.
Investigator
Jing Xiang, MD, PhD, Division of Neurology
