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The comprehensive and powerful neuroimaging tool comes with many exciting features, such as:
Extremely fast and highly optimized 2D and 3D analysis and visualization routines
Volume and cortex-based hypothesis-driven statistical data analysis (i.e. GLM) including conjunction and random effects analysis
Random effects ANCOVA analysis for advanced multi-factorial designs and correlation with external (i.e. behavioral) variables
Dynamic statistical thresholding using the False Discovery Rate (FDR) approach for correction of multiple comparisons
Cluster-size thresholding for correction of multiple comparisons (plugin)
Multi-subject Volume-of-Interest (VOI) and surface Patch-of-Interest (POI) analysis
Volume and cortex-based data-driven analysis using Independent Component Analysis (ICA)
Advanced methods for automatic brain segmentation, surface reconstruction, cortex inflation and flattening
Cortex-based inter-subject alignment based on gyral / sulcal pattern of individual brains going beyond Talairach space
Analysis (work-in-progress) of Diffusion Tensor Imaging (DTI) data including combined visualization with structural and functional MRI
Creation ("seeding") and visualization of EEG / MEG multiple dipole models in combination with the powerful BESA 5.0 program
Integration of volume and surface rendering with powerful tools for the creation of high-quality figures and movies
A neuronavigation module as part of the TMS Neuronavigator system.
Multi-processor support and an open architecture with documented file formats
Cross-platform scripting support allows to analyze the data from many subjects in batch mode
Cross-platform C++ plugin support which makes it possible to extent the functionality of BrainVoyager QX
The Windows version (v2.x) will support COM-based interfaces, which can be accessed with all major computer languages (i.e. C/C++, VB, Java) as well as from MATLAB.
BrainVoyager QX provides a comprehensive cross-platform solution embodied in a single product. The software allows easy exchange of data between platforms handling transparently potential byte order differences ("big endian" vs "little endian"). Data analyzed on one platform - for example Windows - can be moved to another platform - for example Mac OS X on PowerPC - and further processed without problem.
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