EGI launches new GeoSource 3.0 Research electrical source imaging packages

27 June 2016 – EGI is very excited to announce the launch of our new GeoSource 3.0 Research electrical source imaging packages, which will provide the highest quality source estimation with a straightforward workflow accessible to any research laboratory.

The culmination of 25 years of interdisciplinary research, these software and hardware packages leverage EGI’s proprietary dense array EEG technology, improvements in high-resolution MRI imaging, sophisticated electric head modeling, and accelerated computing to create a powerful platform for estimating the cortical source of EEG signals.

Electrical source imaging (ESI) software allows EEG, a portable and relatively inexpensive non-invasive brain monitoring technology, to be used in identifying a likely anatomical source of brain activity. Understanding the brain structures responsible for brain activity is the ultimate goal of any research project in cognitive or developmental neuroscience. It is also gaining importance in clinical neurology applications, particularly in epilepsy, where dense array electrical source imaging is already being tested for use in presurgical planning with very promising results (see published studies).

GeoSource 3.0 Research packages improve on current ESI methodology using much more realistic head models to define the path of electrical current from the cortex to the scalp, critical for accurate source estimation. EGI’s head models are built using seven different tissue types for realistic head anatomy, and the Finite Difference Method (FDM) to calculate the path of electrical flow throughout the head volume. Simpler head modeling methods, such as the BEM, result in relatively low-resolution models. Another alternative, the Finite Element Method (FEM), creates higher-resolution head models, but requires a significant amount of hands-on intervention for highest accuracy.

For a high-resolution realistic head model that can be built with minimal expertise or intervention from the user, EGI has opted to incorporate software that automatically characterizes seven tissue types directly from 1-mm resolution MRI data, providing detailed and highly realistic head anatomy. Secondly, we use the Finite Difference Method (FDM), which performs voxel-by-voxel calculations of the electric potentials, maintaining the high resolution geometry of the original MRI image. Finally, we bundle the software with a high-performance GPU compute node to accelerate the compute time from days to minutes. The result is an intuitive workflow for quickly building a high-resolution, extremely realistic head model with minimal hands-on work.

Along with the superior head modeling and several options for source estimation algorithms, GeoSource 3.0 Research integrates features for head model validation and forward EEG data modeling, and is also a key element of EGI’s advanced GTEN 100 Research neuromodulation system. GeoSource 3.0 Research thus represents a new platform that brings together cutting-edge technologies for brain monitoring and modulation into an integrated and accessible package that can be used by any laboratory or research clinic.

Customers will have the option to choose from three packages, based on their research needs: an advanced package with the ability to build a head model from an individual’s MRI data, an intermediate package with the ability to conform an atlas head model to individual head geometry, or a basic package with atlas head models.

GeoSource 3.0 Research packages are currently being offered for research use only so that researchers will have early access to the technology. EGI plans to offer a clinically-cleared version later in the year.

Find out more about EGI’s new GeoSource 3.0 Research packages.

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