Citing BrainVoyager and Related Products

BrainVoyager-related

Goebel R. (2012). BrainVoyager--past, present, future. NeuroImage, 62(2), 748–756. https://doi.org/10.1016/j.neuroimage.2012.01.083

Goebel, R., Esposito, F., & Formisano, E. (2006). Analysis of functional image analysis contest (FIAC) data with brainvoyager QX: From single-subject to cortically aligned group general linear model analysis and self-organizing group independent component analysis. Human brain mapping, 27(5), 392–401. https://doi.org/10.1002/hbm.20249

Kriegeskorte, N., & Goebel, R. (2001). An efficient algorithm for topologically correct segmentation of the cortical sheet in anatomical mr volumes. NeuroImage, 14(2), 329–346. https://doi.org/10.1006/nimg.2001.0831

Turbo-Satori

Lührs, M., & Goebel, R. (2017). Turbo-Satori: a neurofeedback and brain-computer interface toolbox for real-time functional near-infrared spectroscopy. Neurophotonics, 4(4), 041504. https://doi.org/10.1117/1.NPh.4.4.041504

Plugins for BrainVoyager

Breman, H., Mulders, J., Fritz, L., Peters, J., Pyles, J., Eck, J., Bastiani, M., Roebroeck, A., Ashburner, J., & Goebel, R. (2020). An Image Registration-Based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE). In Ž. Špiclin, J. McClelland, J. Kybic, & O. Goksel (Eds.), Biomedical Image Registration (Vol. 12120, pp. 122–130). Springer International Publishing. https://doi.org/10.1007/978-3-030-50120-4_12

Breman, H., Peters, J., Weiskopf, N., Ashburner, J., & Goebel, R. (2009). Fast ﬁeldmap-based EPI distortion correction with anatabacus: a plugin for BrainVoyager. Neuroimage, 47, S81. https://doi.org/10.1016/S1053-8119(09)70572-5

Roebroeck, A., Formisano, E., & Goebel, R. (2005). Mapping directed influence over the brain using Granger causality and fMRI. NeuroImage, 25(1), 230–242. https://doi.org/10.1016/j.neuroimage.2004.11.017

Esposito, F., Scarabino, T., Hyvarinen, A., Himberg, J., Formisano, E., Comani, S., Tedeschi, G., Goebel, R., Seifritz, E., & Di Salle, F. (2005). Independent component analysis of fMRI group studies by self-organizing clustering. NeuroImage, 25(1), 193–205. https://doi.org/10.1016/j.neuroimage.2004.10.042