Turbo-BrainVoyager v4.4

User's Guide

Turbo-BrainVoyager (TBV) is a highly optimized software package for real-time analysis and advanced visualization of functional and structural magnetic resonance imaging data sets enabling neurofeedback and other brain-computer interface (BCI) applications. Turbo-BrainVoyager allows quality assurance of ongoing fMRI measurements by assessing head motion and time course drifts, and by incrementally computing statistical maps as contrasts of a General Linear Model (GLM). Incrementally calculated (statistical) maps are visualized on original slices (multi-slice view) as well as in orthographic 3D mode using original slices as well as coregistered anatomical scans of the subject. Anatomical data sets of the subject can be prepared in TBV prior to the real-time functional measurement to enable visualization of maps and regions-of-interest (ROIs) in MNI space. With the help of BrainVoyager, maps and ROIs can also be visualized on cortex (mesh) representations. TBV allows to create ROIs on any brain view and plots time courses, estimated beta values and event-related averages dynamically. TBV also allows to use machine learning tools to classify and predict distributed patterns of activity ("brain reading"). Due to its powerful computational and visualization capabilities, TBV enables advanced real-time applications such as fMRI neurofeedback, brain computer interfaces (BCIs) and activation-driven adaptive experimental designs.

TBV and the new TBV EDU version provide a sophisticated data simulation and experiment preparation mode that can be used to prepare and test protocols, and to assess expected localizer and neurofeedback results before moving to the scanner room.

Turbo-BrainVoyager is based on the BrainVoyager software package with the following unique or adjusted features:

Previously recorded runs can also be reloaded and inspected at any time. Turbo-BrainVoyager is optimized for real-time analysis and is not a replacement for BrainVoyager or other offline software. There are, for example, no routines for statistical group analyses. While anatomical document creation from DICOM files, anatomical preprocessing and MNI normalization is available since TBV 4.0, some of the advanced visualization features require processing (e.g. Talairach transformation, surface mesh creation) in BrainVoyager prior to real-time analysis in TBV. Turbo-BrainVoyager 4.4 runs on Microsoft Windows 10/11, Linux (2.6+ kernel), and macOS 10.15+.

The next section provides information how to setup TBV in a scanner network environment and how to prepare neurofeedback experiments. This is followed by an overview of how to use TBV. An in-depth description of its major features is then provided in subsequent topics. If you are new to Turbo-BrainVoyager, you may also want to run the provided sample data sets to make yourself familar with the software. It is also recommended to have a look at the release notes describing features added in this and previous versions.

Major analysis steps implemented in Turbo-BrainVoyager are described in the publication:

Goebel, R. (2021). Analysis methods for real-time fMRI neurofeedback. In: M. Hampson (Ed.). fMRI Neurofeedback, pp. 23-55. Academic Press.

Copyright © 2002 - 2024 Rainer Goebel. All rights reserved.