BrainVoyager 22 Now Available With Major New Features

We are happy to announce the availability of BrainVoyager 22.0, which is a major release introducing important new features. The two most outstanding new features are BV Notebooks for reproducible data analysis and an advanced cortex segmentation tool that is based on a deep neural network (DNN) with an advanced "Tiramisu" architecture. These as well as other new features, enhancements and bug fixes are described in the release notes and the updated 22.0 User's Guide.
The DNN segmentation tool has been developed for high-resolution sub-millimeter data to segment grey matter with very high accuracy both along the inner (white-grey) and outer (pial) boundary. The high-quality segmentations are especially suited for cortical thickness measurements and mesoscopic (laminar and columnar) fMRI analyses.
The introduced BV Notebooks offer (script) programmers a means to write Python code to document performed analysis steps. BV Notebooks are inspired by Jupyter notebooks but they offer many BrainVoyager-specific features. Probably the most unique feature is that they support reproducible analyses also for users that do not (want to) program by converting essential GUI actions into corresponding code. Both manual as well as auto-generated code can be easily enriched with images, animations, rendered Markdown text as well as embedded BrainVoyager viewers enabling any BrainVoyager user to create rich documents. For a more detailed description of BV Notebooks, please read the BrainVoyager 22 release blog. To install BrainVoyager 22.0 for your operating system, go directly to the Downloads page.

BrainVoyager 3.5

The latest version of BrainVoyager is available now! If you are a customer but you did not receive BrainVoyager 3.5 yet, please contact Brain Innovation immediately. The main new features include important routines for the analysis of event-related fMRI studies such as slice scan time correction and automatic generation of across-study / across-subject event-related averaging graphs. Another new feature is a fully automatic segmentation of the two hemispheres of a high-resolution T1 data set based both on Talairach masking and analysis of signal intensity histogramms. The interactive manipulation of surface meshes has been optimized working now up to 400% faster due to general code optimazations as well as the generation of triangle strip representations. A full description of all new features in form of a downloadable document file will be posted soon.

BrainVoyager 2000 Training Courses

Brain Innovation B.V. announces the second BrainVoyager 2000 Training Course which will be held in Maastricht, The Netherlands. This two-day training course will be held by Rainer Goebel and colleagues and will cover both basic (first day) and advanced (second day) features of BrainVoyager. Special focus will be on new automatic and manual tools in BrainVoyager 2000 v4.2 for segmentation of grey and white matter and on cortex-based Independent Component Analysis.

Release of BrainVoyager 2000 v4.2

This new version of BrainVoyager comes with many new features and substantial improvements including a region-of-interest analysis tool, protocols with msec resolution allowing the analysis of event-related paradigms with randomized ISIs, cortex-based ICA, automatic removal of "bridges" in segmented hemispheres, a proper treatment of serial correlations and the superposition of multiple surface maps. We will send the new release automatically to all customers. If you are using BrainVoyager and you did not receive a copy automatically, please send us an email.

Release of BrainVoyager QX 1.7 with exciting new features

he new release of BrainVoyager QX is now available for download containing many new features, improvements and bug fixes. Advanced segmentation tools allow high-quality segmentation of the white / grey matter and grey / CSF boundaries, which can be used to measure cortical thickness in individual brains. Furthermore, group-level cortical thickness analysis (CTA) can now be performed using cortically aligned brains. The new "Self-Organizing Group ICA Plugin", implemented by Fabrizio Esposito, allows group level ICA by analyzing the spatial similarity of independent components across subjects. The "NIfTI-1 Converter Plugin", implemented by Hester Breman, allows to exchange data with other fMRI software packages. Check the release notes for a description of additional substantial enhancements and important bug fixes.