EEG Studio FAQ
- What kind of unique features does this software have? Is this another EEG/ECoG toolbox based on Matlab/IDL? This software package, which mainly based on C/C++, is different from many EEG toolboxes, which are typically based on Matlab/IDL. For example, this software package provides following outstanding features:
- Very productive, intuitive GUI, very fast with artificial intelligence (e.g. “drag-drop” to merge two data sets, volumetric source scan without making any assumption about the number of sources or possible location).
- Specially designed data analysis modules to utilizing both low- and high-frequency neuromagnetic/electric signals for characterize brain functions in spatial, temporal and frequency domains.
- Volumetric source imaging with newly developed source localization algorithms (wavelet-beamformer, accumulated source imaging).
- Dynamic magnetic source imaging (dMSI) for visualizing sources in real-time or accumulated mode.
- Voxel multi-coding for precise determination of brain activity/activation while significantly minimizing EEG/ECOG/MEG inverse problems.
- New signal processing algorithms which are not available in other software packages (e.g. polarity contour maps, accumulated spectrograms, etc.).
- Intuitive graphic user interface (GUI), which provides real-time “toolbar-tips” for ease of use or better usability without memorizing all the commands.
- High-performance and handle a huge amounts of data using assembling codes and parallel computing.
- Optimized functions for analysis of high-frequency EEG/ECOG/MEG data (e.g. built-in re-sampling function, handle a huge amounts of EEG/ECOG/MEG data)
- Quantitative assessment of coherence of brain activity/activation at source levels using volumetric coherence analysis, which analyze every possible voxel-pair of the entire brain.
- Outstanding 2D and 3D data visualization tools.
Once you identified the software, which you are interested in, please select it and press the Right Mouse Button. Then, you can select the “Download” Menu. Once you “Click” the “Download” sub-menu, the Browser (e.g. Internet Explorer, Firefox, Chrome…) should start to download the file.
The MEG Program has more than hundreds of files. For you convenient, all files have been “wrapped up” and compressed as a single file for fast and easy transfer. Once you downloaded the compressed file (single file), of course, you need to uncompress it (typically, unzip it). The unzipped program should unzip all files into one fold which has approximately 666 files (in 2012, it may increase or decrease in the future).
We regularly update the software, thus, please check the website for any updates.
For your convenience, you may make a short-cut with the following steps: (1)select the “EEG Studio.exe” file; then (2) press the right Mouse Button; (3)click the “Create short cut” sub-menu in the “Pop up” Menu; (3) drag the created short-cut to the desktop. You may rename the short-cut if you like.
If you do not like it, you may simply delete the entire fold and the software should go completely without taking any of your computer space. Noteworthy, the software does not change any of the settings of your computer. There is no virus, no malware, and no junk item. Thus, the software is pretty “healthy” and “green”.
Once you download the file, please install it (since it is from Microsoft Inc., it should be safe) and try again.
You may also check the Microsoft website to find any updates that are needed for running new software developed with Visual C++ 2010, which is the IDE used for compiling EEG Studio (2010-2012).
If you downloaded the new version of EEG Studio VS2013, you may also check the Microsoft website to find any updates that are needed for running new software developed with Visual C++ 2013, which is the IDE used for compiling EEG Studio (2013-2014).
Though EEG Studio 32 bit version does work on 32 bit windows. However, please use 64 bit version of our software (we may also move to 64 bit Mac or other OS, but not 32-bits). We consider that 64 bits OS is the future of computer for MEG technology because 64 bits OS supports more memory and can process a huge amount of data efficiently.
Please also note that Magnetic Source Locator (MSL) and BrainX can run on both 32 and 64 bits of Windows. However, BrainX needs different drivers for 32 and 64 bit windows if you would like to access or control the parallel ports.
- Windows 7 or 8 (64 bits)
- 3rd generation Intel(R) Core(TM) Processor (2.7 GHz, 8MB L3 Cache)
- 24 GB DDR3 System Memory
- 1 TB Hard Drive
- NVIDIA(R) GeForce(R) GT 650M Graphics with 2GB GDDR 5 video memory
- 20-inch LED Display (1920 x 1080, 32 bit color)
- 8X DVD+/-R/RW
- Standard Keyboard
The solutions we have developed are: (1) re-sampling data in each module for low-frequency analysis in high-sampling rate; (2) utilizing parallel computing to improve performance and limit the use of memory. However, as the computer technology is developing rapidly, we anticipate this problem will be easily fixed in the near future (e.g. using GPU/SDD to improve performance or use Cloud computing to get work done).
Please note that many advanced functions of EEG Studio have been tested on computer workstations with more than 200 GB memory (typical desktop computer has 3-8 GB memory). You may ignore those functions if your computer has limited memory.
All functions with “…Spectral Cxc..” require a lot of memory.
Specifically, “CxC” indicates operations applying to two channels or a channel-pair. An operation of two channels is a channel-cross-channel (“CxC”) operation that can produce many possible results. Here are some powerful usages:
- Virtual channels: similar to many software programs, EEG Studio can produce virtual channel by subtracting or adding two physical channels. Instead of manually defining a virtual channel by subtracting two physical channels or a channel-pair, “CxC” can generate all possible virtual channels by using available physical channels with a set of operations. All the operations can be done by a few clicks. Once you try it, you will the power and usefulness of the “CxC” function. It is amazing, subjective and very efficient.
- Coherence at sensor levels: coherence, correlation and association of two-sensor can be done by simply selecting “Covariance” or “Correlation” operation. “CxC” can analyze the relationship of all possible physical channel pair according to the setting of operations.
- Covariance matrices for source localization: many EEG/ECOG/MEG source localization algorithms require covariance matrices from sensor data. The “CxC” functions enable users to compute, preview and check the covariance matrices for source localization.
Once you download the file, please install it (since it is from Microsoft Inc., it should be safe) and try again. Please note that EEG Studio supports both Direct3D and OpenGL. EEG Studio (~2012) currently supports Direct3D 9.0.
Low-frequency MEG signals are typically generated from a large area or from extended cortical sources. High-frequency MEG signals are typically generated from a small area or focal cortical sources. In other words, low-frequency signals are generated a large group of neurons, while high-frequency signals are probably generated by a small group of neurons. If the high-frequency signals and low-frequency signals are generated from a similar area or a closed region, low-frequency signals may be spatiotemporal summation of high-frequency signals. Therefore, high-frequency signals encode more spatial information than that of low-frequency signals.
From source localization point of view, high-frequency signals are highly localized while low-frequency signals are diffused. Therefore, to analyze brain activation/activity at source space or source levels, high-frequency neuromagnetic signals would be the key in the future. Yes, I believe MEG can detect brain activity/activation above 100 Hz.
From our point of point of view, high-frequency signals are highly localized while low-frequency signals are diffused. Therefore, to analyze brain activation/activity at source space or source levels, high-frequency neuromagnetic signals would be the key in the future. We believe the study of high-frequency neuromagnetic signals represent the future of MEG research.
To visualize the structural and functional components, this program provides three kinds of selections for precisely imaging the data of interest. If the selections are not used appropriately, you will see a “black window” without anything visible.
Spatial Selection: a 3D selector has been designed to spatially select volumetric data. The selector provides three modes: (1) Select- all (no selection, all voxels or data are visible); (2) Select-out: voxels out of the selected region are visible; (3) Select-In: voxels within the selected region are visible. If you used the 3D selector to select all the data, and then pick the “Select-out” mode”, you will see a “black window” because there is nothing to show. In this case, pick the “Select-All” option.
- Data Marks: This program provides at least three kinds of marks (red, blue and yellow) for image segmentation, voxel (pixel) label and analysis/measurement. You may selectively visualize voxels with: (1) special mark(s); and (2) voxels. If you have not mark or label any voxels and try to visualize special mark(s), you will see a “black window” because there is no mark to be visualized. In this case, pick the view “All Voxels”.
- Range of Data Value: This program enables the visualization of volumetric data in certain range (from minimum value to maximum value in 3D View Control). For example, MRI/CT images typically have gray scale data in limited ranges. If you select very high or low gray scale value, you will see a “black window” because all available MRI/CT voxels are out of the selected range. In this case, please click the “Autofit” button to automatically adjust the range for visualization.
Please note that, this program supports EEG/ECOG/MEG sensor, sources, MRI/CT images and neural networks. If you perform source scan without MRI/CT image (structural data), the program will use templates to simulate structural data. In this case, it seems the program has structural data but there is nothing visible.
In addition to the well-known trigger jitter; there is natural variation of brain responses. High-frequency oscillations may vary in latency and the conventional averaging cannot reveal it. One approach is to use “accumulated spectrogram” and “accumulated source imaging” to reveal those high-frequency components (e.g. Xiang et al. Front Neuroinform. 2014 May 21;8:57).
One solution is to compress the file (or fold of the files) to save space. EEG Studio can open the compressed file. One of the well-tested software is “WinRAR”, which can be freely downloaded. Here are the steps of the compressing and drag-and-drop opening.