Literature DB >> 22289803

BrainVoyager--past, present, future.

Rainer Goebel1.   

Abstract

BrainVoyager started as a simple fMRI analysis tool in the mid 1990s; the software was primarily created to fulfill the needs of its author and his colleagues to analyze anatomical and functional MRI data in a way that would be most appropriate for their research questions in visual and auditory perception. More specifically, the software was designed with three major goals in mind. First, it should allow analyses that would exploit optimally the high-resolution information available in fMRI data. Second, it should integrate volume-based analysis and cortex-based analysis including the possibility to visualize topographic activation data on flattened cortex representations. Third, it should combine hypothesis testing with data-driven analysis including interactive visualization tools that would make it as easy as possible to look at and explore data. A fourth guiding principle was to develop a software package that fulfilled the author's preference for elegant user interfaces, beautiful visualizations and high-performance computing. These major guiding principles from the beginning of BrainVoyager development are still noticeable in the most recent incarnations of the software that has grown from a small fMRI analysis tool on the Windows platform to a comprehensive cross-platform multi-modal software package integrating (real-time) fMRI, DWI/DTI, (i)EEG, MEG, TMS and fNIRS analyses.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22289803     DOI: 10.1016/j.neuroimage.2012.01.083

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  46 in total

1.  Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.

Authors:  Kevin R Sitek; Omer Faruk Gulban; Satrajit S Ghosh; Federico De Martino; Evan Calabrese; G Allan Johnson; Agustin Lage-Castellanos; Michelle Moerel
Journal:  Elife       Date:  2019-08-01       Impact factor: 8.140

2.  Variable slice thickness (VAST) EPI for the reduction of susceptibility artifacts in whole-brain GE-EPI at 7 Tesla.

Authors:  Sascha Brunheim; Sören Johst; Viktor Pfaffenrot; Stefan Maderwald; Harald H Quick; Benedikt A Poser
Journal:  MAGMA       Date:  2017-07-10       Impact factor: 2.310

3.  Effect of sequential comparison on active processing of sound duration.

Authors:  Nicole Angenstein; André Brechmann
Journal:  Hum Brain Mapp       Date:  2017-06-05       Impact factor: 5.038

4.  Comparing like with like: the power of knowing where you are.

Authors:  Robert Turner; Stefan Geyer
Journal:  Brain Connect       Date:  2014-08-07

5.  A Review on the Bioinformatics Tools for Neuroimaging.

Authors:  Mei Yen Man; Mei Sin Ong; Mohd Saberi Mohamad; Safaai Deris; Ghazali Sulong; Jasmy Yunus; Fauzan Khairi Che Harun
Journal:  Malays J Med Sci       Date:  2015-12

6.  Network dynamics during the different stages of hallucinations in schizophrenia.

Authors:  Stéphanie Lefebvre; Morgane Demeulemeester; Arnaud Leroy; Christine Delmaire; Renaud Lopes; Delphine Pins; Pierre Thomas; Renaud Jardri
Journal:  Hum Brain Mapp       Date:  2016-03-26       Impact factor: 5.038

7.  A method for handling intensity inhomogenieties in fMRI sequences of moving anatomy of the early developing brain.

Authors:  Sharmishtaa Seshamani; Xi Cheng; Mads Fogtmann; Moriah E Thomason; Colin Studholme
Journal:  Med Image Anal       Date:  2013-11-06       Impact factor: 8.545

Review 8.  Analysis strategies for high-resolution UHF-fMRI data.

Authors:  Jonathan R Polimeni; Ville Renvall; Natalia Zaretskaya; Bruce Fischl
Journal:  Neuroimage       Date:  2017-04-29       Impact factor: 6.556

9.  Surface fluid registration of conformal representation: application to detect disease burden and genetic influence on hippocampus.

Authors:  Jie Shi; Paul M Thompson; Boris Gutman; Yalin Wang
Journal:  Neuroimage       Date:  2013-04-13       Impact factor: 6.556

Review 10.  How to use fMRI functional localizers to improve EEG/MEG source estimation.

Authors:  Benoit R Cottereau; Justin M Ales; Anthony M Norcia
Journal:  J Neurosci Methods       Date:  2014-08-01       Impact factor: 2.390

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