EGI News

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 High Density 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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EGI releases beta version of new Geodesic Transcranial Electrical Neuromodulation (GTEN) 100 Research System

27 June 2016 – EGI is pleased to announce the release of the beta version of our new GTEN 100 Research System, which brings an entirely new level of precision and rigor to non-invasive neuromodulation. This research system builds on EGI’s new generation of source imaging software, GeoSource 3.0 Research, which includes the ability to build highly detailed and realistic head models using an individual’s MRI scan and unique brain conductivity pattern.

Non-invasive, transcranial electrical neuromodulation (tDCS/tACS) is a promising method for modulating brain function. It is actively used in research to evaluate its efficacy for treatment of a number of neurological disorders where pharmaceutical intervention is ineffective and to study fundamental brain processes such as brain plasticity. Potential interest to researchers include major areas of unmet medical need, such as depression, schizophrenia, epilepsy, tinnitus, chronic pain, migraine, and rehabilitation following trauma or stroke. The GTEN 100 system is also being used in research and clinical trials using other forms of non-invasive neuromodulation, such as Transcranial Magnetic Stimulation (TMS), and invasive neuromodulation, such as deep brain stimulation (DBS).

The GTEN 100 Research product offers the ability to employ high-resolution electrical head models to predict current flow and estimate current density at the cortical surface. Using sophisticated planning software, information derived from the electrical head models can be used to formulate stimulation plans that are informed by advanced functional imaging, such as HD EEG and realistic anatomical constraints, rather than based on best guesses. Additionally, because the GTEN 100 system is built on EGI’s High Density EEG platform, the brain response to stimulation can be recorded in order to understand the neuromodulatory effects and to monitor for unintended stimulation effects.

Coupled with EGI’s new GeoSource 3.0 Research source estimation platform, functionally significant cortical regions can be identified and be used as targets for neuromodulation. Using EGI’s proprietary whole head, dense array Geodesic Sensor Net technology, the GTEN 100 system will allow maximal flexibility in choosing any of 256 EEG electrodes for transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), or pulsed direct current stimulation (tPCS).The use of the Geodesic Sensor Net electrode placement system and integration with EGI’s sensor digitization technology helps to ensure reproducibility from session to session.

The culmination of 25 years of interdisciplinary research, the GTEN 100 neuromodulation system integrates EGI’s core technologies and expands the capabilities of EGI’s research products from brain monitoring and dESI to research into therapeutic intervention. The GTEN 100 Research beta package is sold as an upgrade to the GES 400 EEG platform with one of three levels of the GeoSource 3.0 electrical source imaging package. The GTEN 100 Research Neuromodulation System is sold for research use only at this time pending the results of clinical trials currently underway.

Find out more about EGI’s new GTEN 100 Research Neuromodulation System.
Find out more about EGI’s Geodesic EEG System 400.
Find out more about EGI’s new GeoSource 3.0 Research packages.

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EGI High Density EEG System tested in 7T MRI machines

27 Apr 2016 – EGI has recently tested the Geodesic EEG System (GES) 400 MR amplifier in a Siemen’s 7T Magnetom MR scanner. Based on the data reviewed, EGI's risk management team has come to the conclusion that the GES 400 MR poses no known hazards at this time when used in a Siemens 7T MRI environment. The Physio16 MR input box is still being tested.

Based on the results of the tests with the GES 400 MR amplifier and the 256 MR HydroCel Geodesic Sensor Net products, it is probable that the GES 400 series and the 256­ channel HydroCel Geodesic Sensor Net MR products will perform without hazards due to deflection, torque, or RF induced heating with other 7T systems. However, we suggest that anyone wishing to the use EGI’s GES 400 MR system in a 7T MRI system from a different manufacturer perform safety tests.

Contact EGI for the document “7 Tesla torque and displacement safety tests report” for further details.

Read about EGI’s EEG System for MR environments.

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EGI releases major update of Net Station 5.3 EEG software

27 Jun 2016 – EGI is pleased to announce the release of the Net Station 5.3 software, a major update for EGI’s core EEG software suite that extends the software into a new platform for fully networked and integrated EEG, electrical source imaging, and neuromodulation.

Net Station 5 software is specifically designed for intuitive and straightforward visualization of High Density EEG data with up to 256 channels. This major update adds the new Reciprocity Visualization Environment, which includes interactive 3D viewing capabilities. The Reciprocity view shows the scalp voltage data on a 3D head, synchronized to the standard 2D chart view, topo plot view, butterfly view, and topo map view, allowing multiple ways of looking at the data through time that will greatly aid in data analysis.

The Reciprocity Visualization Environment is also the user interface for EGI’s new GeoSource 3.0 electrical source imaging software and new GTEN 100 neuromodulation system, providing a completely integrated and seamless environment for EEG, advanced EEG analysis, and simultaneous EEG-transcranial electrical neuromodulation.

The 5.3 update also adds advanced networking and security tools, allowing more flexibility for networked environments with multiple users. Altogether, the new Net Station 5.3 software represents an integrated platform supporting expansion for both advanced software modules and for networked experimental or clinical environments.

Starting with the introduction of Geodesic Sensor Nets for High Density EEG 25 years ago, EGI’s focus has always been on providing the most advanced EEG methodology with a workflow accessible for any laboratory or clinic. With Net Station 5.3, we continue this focus with an intuitive interlocking platform that expands what can be achieved with an EEG analysis system.

Find out more about Net Station 5.3 software.
Find out more about the Geodesic EEG System.
Find out more about GeoSource 3.0 electrical source imaging packages.

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New Geodesic Sensor Nets for Preterm Infants

22 Jan 2015 – After years of development and testing in the field, EGI has created a Geodesic Sensor Net specifically for preterm infants. These tiny Nets are designed for the head shape and sensitive skin of preterm infants with special features for faster, easier, lower stress application.

The Geodesic Sensor Net provides advantages over conventional EEG sensor placement methods. The EEG sensors are embedded into an elastomer net that allows all the sensors to be applied at once, reducing application time. This fast and simple application minimizes stress for preterm infants. And unlike conventional EEG sensors, no abrasion or glue is required, greatly reducing the risk of infection. Researchers and clinicians working with children have long preferred the Geodesic Sensor Net for these reasons, and EGI is pleased to now provide these same advantages for this very sensitive population.

Special modifications were made to the design, including smaller electrodes, re-engineered elastomer geometry that better conforms to the preterm infant head shape, a modified chin strap design with single-pull movement for faster adjustment of the Net on the head, and removal of face straps to allow use with other medical devices. Years of testing in the field have validated the design and ease of use, and EGI’s rigorous development and manufacturing protocols ensure the highest level of quality and safety.

The new preterm infant Nets are available with 32, 64, or 128 channels and in preterm medium (30-32 cm) and preterm large (32-34 cm) sizes. This is the only 128-channel whole-head sensor array on the market for preterm infants. Complete head coverage with a dense array of EEG sensors ensures the maximum amount of clinically relevant data is captured, especially important if exam time is limited. The same channel counts will be available soon in a preterm small (28-30 cm) size.

Read about the Geodesic EEG Sensor Nets.

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