Release of BrainVoyager QX 1.9 with DTI tools and substantial enhancements
25 07, 07
The new release of BrainVoyager QX is now available for download containing new features, substantial improvements and important bug fixes. The most important new feature of this release is the DTI module allowing to analyze diffusion-weighted MRI data including calculation of FA maps, fiber tracking and FA group comparisons. The ANCOVA module has been substantially improved allowing to import multi-subject VMP and SMP data sets providing the possibility to perform random effects analyses for any kind of subject-specific data sets (e.g. cortical thickness maps). The new one-way ANOVA model is suited to analyze multi-subject volume maps with one map per subject. ANOVAs and FFX/RFX GLMs can now also be performed for Patches-Of-Interest (POIs). For surface maps, a cluster-size threshold routine is now available for correction of multiple comparisons. For details about new features, check the documentaton in the User's Guide. Please also carefully read the release notes for a description of additional substantial changes. In light of the substantial enhancements and important bug fixes, we highly recommend to upgrade to the new version.
Exhibition at 13th Annual Meeting of the Organization for Human Brain Mapping (OHBM)
06 06, 07
If you are attending the OHBM conference in Chicago stop by at our booth and you'll meet BrainVoyager experts, see demos of new tools and get your questions answered. At the conference we will release BrainVoyager QX 1.9 and you can be among the first to get your copy of this important program update. BVQX 1.9 features a comprehensive set of tools for analyzing Diffusion Tensor Imaging (DTI) data sets, a new "Create Project Wizard", COM-based scripting on Windows (e.g., from Matlab), new possibilities for calculating, visualizing and exploring group data, and many other enhancements. Besides showing BV QX 1.9, we also present some of our upcoming highlights including exciting new tools for advanced EEG/MEG source localization in volume and surface space, a new 3D neural network software package for modelling and predicting neuroimaging data, and a new resolution-independent reporting and visualization tool.