Software for Neuroimaging Data Analysis
Software is defined by as “a plan specification composed of a series of instructions that can be interpreted by or directly executed by a processing unit.” We define Software for Neuroimaging Data Analysis as software whose primary goal is to support the extraction of information, and ultimately knowledge, from data acquired by an imaging device used on the brain (of human or animal subjects).
Tell us what you think about neuroimaging software, and we will tell you who you are. To some, using software to analyze data is little more than a technical step that stands between data acquisition and publishing. Doctoral students, postdocs, or technical assistants only need to operate the appropriate software, i.e., the script to run or the right sequence of buttons to press. To others, choosing, adapting, running, or developing the right software code is critical and requires investing significant time and resources.
Data analysis is one of the...
- Ad-Dab’bagh Y, Lyttelton O, Muehlboeck JS, Lepage C, Einarson D, Mok K, Ivanov O, Vincent RD, Lerch J, Fombonne E (2006) The CIVET image-processing environment: a fully automated comprehensive pipeline for anatomical neuroimaging research. In: Proceedings of the 12th annual meeting of the organization for human brain mapping, M. Corbetta, p S45Google Scholar
- Amazon. Amazon Elastic Compute Cloud (EC2) (n.d.) http://aws.amazon.com/ec2
- Amazon. Amazon Web Service (AWS) (n.d.) http://aws.amazon.com/.
- Baillet S, Karl F, Robert O (2011) Academic software applications for electromagnetic brain mapping using MEG and EEG. Comput Intell Neurosci. doi:10.1155/2011/972050Google Scholar
- Ed Gronenschild HBM, Habets P, Jacobs HIL, Mengelers R, Rozendaal N, van Os J, Marcelis M (2012) The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. PLoS One 7(6):e38234. doi:10.1371/journal.pone.0038234PubMedCentralPubMedCrossRefGoogle Scholar
- Kennedy DN, Haselgrove C, Buccigrossi R, Grethe J (2009) Software development for neuroimaging: promoting community access and best practices through NITRC. In: Biomedical imaging: from nano to macro, 2009. ISBI’09. IEEE international symposium on, IEEE, pp 1146–1149. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5193260
- MNI Software Tools (n.d.) http://www.bic.mni.mcgill.ca/ServicesSoftware/HomePage
- Poline J-B, Breeze JL, Ghosh S, Gorgolewski K, Halchenko YO, Hanke M, Haselgrove C et al (2012) Data sharing in neuroimaging research. Front Neuroinf 6:1–13. doi:10.3389/fninf.2012.00009Google Scholar
- Toussaint N, Souplet JC, Fillard P (2007) MedINRIA: medical image navigation and research tool by INRIA. In: Proceedings of MICCAI, vol 7. http://med.inria.fr/
- Johnson H, Harris G, Williams K (2007) BRAINSFit: mutual information rigid registrations of whole-brain 3D images, using the insight toolkit. http://www.insight-journal.org/download/pdf/8169/BRAINSFit.pdf