EMSE is a suite of advanced, powerful, and useable software tools to measure, describe, and visualize human brain dynamics, used worldwide for research in neuroscience, neurotechnology, and clinical neurophysiology. We specialize in multimodal source estimation techniques, enabling the researcher to combine EEG and MRI datasets to better answer where things are happening in the brain, and when things change.
Conventional neuroimaging (for example magnetic resonance imaging, or MRI) can answer the where question, but not the when question. Electroencephalography (EEG) and the closely allied Event-Related Potentials (ERP’s) can tell you when something happened with an accuracy of thousandths of a second, but isn’t very good at the where questions. EMSE combines MRI and EEG to answer both when and where in a way that neither method can answer alone. We call this process multimodal dynamic functional brain imaging or source estimation.
Our principal product is EMSE® Suite, a software toolkit consisting of 6 modules. The modules may be purchased separately, or as a bundle. Taken together, EMSE® Suite supports the key steps required to combine electrophysiological data (like EEG and MEG) with image data (like CT or MRI) for multimodal dynamic functional imaging. Taken separately, individual modules may be used by customers who wish only a subset of the complete functionality (e.g. EEG time series analysis and display). EMSE® Suite runs under the Microsoft Windows family of operating systems as well as Linux, on Intel- compatible processors.
EMSE EEG / MEG analysis software (8)
EMSE’s Development Plan emerges from three main streams. First, we listen to your needs and requests (e.g., you might show us what you want during a remote technical/scientific support session). Second, we periodically update and upgrade existing features (e.g., update of boundary element head models; upgrade from 32-bit to 64-bit code). Third, we’re envisioning an integrative role for EMSE in the larger field of human neurophysiology and neuroimaging, so that: (a) EMSE shall perform live analysis and automatic archiving during data acquisition; and (b) EMSE shall cooperate with other tools in an ecosystem based on FAIR (Findable, Accessible, Interoperable, Reusable) principles.
EMSE is developed by Cortech Solutions. We are an agile team with more than 50 years combined experience in the field. Principal developers are Mark Pflieger and Li Gao, who have worked on the EMSE project for 17+ years and 21+ years, respectively. Richard Greenblatt initiated the EMSE project in the early 1990s with roots from the MEG community.
EMSE reads all major research EEG and MEG data formats.
No. EMSE is a self-contained graphical program written in C++ “under the hood” for efficiency. To optimize the speed of standard matrix and math operations, EMSE leverages the Intel® Math Kernel Library.
No, EMSE is modular. The ERP Bundle (Data Editor plus Visualizer) is a powerful and affordable package for discovering and confirming space-time-frequency phenomena at the scalp level, with integrated nonparametric statistics. The Basic Source Estimation Bundle adds the Source Estimator module for brain level modeling. The Locator module digitizes electrode locations, which may be co-registered with MRI using MR Viewer. The Image Processor module can segment head tissues for constructing individual cortex and volume conductor models.
If EEG/ERP is a new addition to your lab, you can use EMSE to rapidly master all of the steps that can lead you to discover and visualize new phenomena in your experimental data. Have you already identified phenomena at the scalp? Then you can use source reconstruction and source signal estimation tools in EMSE to understand where and when these phenomena arise in the cortex. Going further, if you have participant MRIs, then you can use EMSE to sort out meaningful individual differences from incidental differences that derive from personal cortical folding patterns. In all cases, we can remotely assist with the steps.
EMSE is great for helping you, first, to identify robust space-time-frequency phenomena in your EEG or MEG data, and then to interpret those phenomena in brain space by constructing source models, by estimating regional activity, and by deriving inter-regional connectivities. EMSE can use MRI data to construct realistic volume conductor models of the head. Importantly, EMSE reproducibly automates and documents your analysis workflows, including: (a) signal processing pipelines; (b) experimental event logic pipelines; (c) event-related component measurements; and (d) nonparametric statistical hypothesis testing. EMSE is a professionally supported Windows application. We can remotely assist your data analysis process.
EMSE stands for ElectroMagnetic Source Estimation (and we say “MC”).
When used together with Polhemus™ digitizing hardware, LOCATOR allows you to measure accurately electrode locations and the outer head surface in 3 dimensions. These data may then be used for MRI coregistration and more accurate source estimation. LOCATOR currently supports three Polhemus products: ISOTRAK, FASTRAK, and PATRIOT.
The EMSE Suite DATA EDITOR module may be used as a standalone program to view, analyze, filter, and transform EEG and MEG time series data, and to select intervals or events for further analyses, including event-related potentials, power spectral densities, and time-frequency analysis. DATA EDITOR includes tools for automation, signal processing, spatial component analysis, topographic mapping, and a powerful framework for statistical nonparametric mapping.
EMSE Suite SOURCE ESTIMATOR module may be used for discrete or distributed dipole source analysis from EEG or MEG data which has been provided by the DATA EDITOR module. Three shell spherical models or realistic head models (using data from the IMAGE PROCESSOR module) may be used for field calculations. 3D source estimates may be displayed in VISUALIZER for rendering with surfaces or in MR VIEWER with MRI overlay.
MR VIEWER displays magnetic resonance and other images, with specialized features designed for the overlay of electromagnetic source estimation and other functional imaging data. Seeded dipoles may be obtained (e.g. from fMRI data) for use with SOURCE ESTIMATOR
Starting with a volumetric dataset from the MR VIEWER base module, IMAGE PROCESSOR tools support segmentation, boundary mesh generation, and cortical unfolding. The output may be made available to VISUALIZER for 3D rendering, or to SOURCE ESTIMATOR for realistic headshape modeling and cortical surface restriction.