Mining the Mind Research Network: A novel framework for exploring large scale, heterogeneous translational neuroscience research data sources

Frontiers in Neuroinformatics

Volumn 3, Issue APR, 2010, Pages

  Bockholt, Henry J ^a   Scully, Mark ^a,b   Courtney, William ^a,b   Rachakonda, Srinivas ^a   Scott, Adam ^a   Caprihan, Arvind ^a   Fries, Jill ^a   Kalyanam, Ravi ^a   Segall, Judith M ^a   de la Garza, Raul ^a   Lane, Susan ^a   Calhoun, Vince D ^a,b  

^a MIND RESEARCH NETWORK   (United States)

^b University of New Mexico   (United States)

Author keywords

Data mining; Magnetic resonance imaging; Mind clinical imaging consortium; XCEDE; XML

Indexed keywords

EID: 79957625012     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.11.036.2009     Document Type: Article

References (23)

1. Amari, S.-I., Beltrame, F., Bjaalie, J. G., Dalkara, T., De Schutter, E., Egan, G. F., Goddard, N. H., Gonzalez, C., Grillner, S., Herz, A., Hoffmann, K. P., Jaaskelainen, I., Koslow, S. H., Lee, S. Y., Matthiessen, L., Miller, P. L., Da Si lva, F. M., Novak, M., Ravindranath, V., Ritz, R., Ruotsalainen, U., Sebestra, V., Subramaniam, S., Tang, Y., Toga, A. W., Usui, S., Van Pelt, J., Verschure, P., Willshaw, D., and Wrobel, A. (2002). Neuroinformatics: the integration of shared databases and tools towards integrative neuroscience. J. Integr. Neurosci. 1, 117-128.
2. Andreasen, N. C., Arndt, S., Alliger, R., Miller, D., and Flaum, M. (1995). Symptoms of schizophrenia: methods, meanings, and mechanisms. Arch. Gen. Psychiatry 52, 341-351.
3. Aroian, L. A., and Levene, H. (1950). The effectiveness of quality control charts. J. Am. Stat. Assoc. 45, 520-529. Available at: http://www.jstor. org/stable/2280720.
4. Bly, B. M., Rebbechi, D., Hanson, S. J., and Grasso, G. (2004). The rumba software: tools for neuroimaging data analysis. Neuroinformatics 2, 71-100.
5. Bockholt, H. J., Ling, J., Scully, M., Magnotta, V. A., Gollub, R. L., White, T., Schulz, S. C., Lauriello, J., and Andreasen, N. C. (2007). MIND Clinical Imaging Consortium as a Case Study of Novel Multi-Center Neuroinformatics Software. Colorado Springs: International Congress on Schizophrenia Research.
6. Bota, M., and Arbib, M. A. (2004). Integrating databases and expert systems for the analysis of brain structures: connections, similarities, and homologies. Neuroinformatics 2, 19-58.
7. Bota, M., Dong, H.-W., and Swanson, L. W. (2005). Brain architecture management system. Neuroinformatics 3, 15-48.
8. Brinkley, J. F., and Rosse, C. (2002). Imaging and the human brain project: a review. Methods Inf. Med. 41, 245-260.
9. Carneiro, G., and Vasconcelos, N. (2005). Formulating semantic image annotation as a supervised learning problem. Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit. 2, 163-168.
10. Cole, E., Pisano, E. D., Clary, G. J., Zeng, D., Koomen, M., Kuzmiak, C. M., Seo, B. K., Lee, Y., and Pavic, D. (2006). A comparative study of mobile electronic electronic data entry systems for clinical trials data collection. Int. J. Med. Inform. 75, 722-729.
11. Costa, L. da F. (2004). Bioinformatics: perspectives for the future. Genet. Mol. Res. 3, 564-574.
12. Demirci, O., Clark, V. P., Magnotta, V., Andreasen, N. C., Lauriello, J., Kiehl, K. A., Pearlson, G. D., and Calhoun, V. D. (2008). A review of challenges in the use of fMRI for disease classifi cation/ characterization and a projection pursuit application from multi-site fMRI schizophrenia study. Brain Imaging and Behav. 2, 207-226.
13. Farn, K. J., and Hu, S. L. (1995). Practical Issues for RDBMS Application Development. Proceedings of the 11th International Conference on Data Engineering, Taipei, 353.
14. Jovicich, J., Beg, M. F., Pieper, S., Priebe, C., Miller, M. M., Buckner, R., Rosen, B., and Birn, B. M.(2005). Biomedical Informatics Research Network: Integrating Multi-Site Neuroimaging Data Acquisition, Data Sharing and Brain Morphometric Processing. The 18th IEEE International Symposium on Computer-Based Medical Systems, Dublin, 288-293.
15. Kim, D., Manoach, D. S., Mathalon, D., Turner, J., Brown, G., Ford, J. M., Gollub, R. L., White, T., Wible, C. G., Belger, A., Bockholt, H. J., Clark, V. P., Lauriello, J., O'Leary, D., McCarthy, G., Mueller, B., Lim, K., Andreasen, N. C., Potkin, S., and Calhoun, V. D. (2009). Dysregulation of working memory and default-mode networks in schizophrenia during a Sternberg item recognition paradigm: an independent component analysis of the multisite Mind and fBIRN studies. Hum. Brain Mapp. 30, 3795.
16. Pace, W. D., and Staton, E. W. (2005). Electronic data collection options for practice-based research networks. Ann. Fam. Med. 3(Suppl. 1), S21-S29.
17. Prasad, B. E., Gupta, A., Toong, H. M. D., and Madnick, S. E. (1987). A microcomputer-based image database management system. IEEE Trans. Ind. Electron. 34, 83-88.
18. Segall, J. M., Turner, J. T., Van Erp, T., White, T., Bockholt, H. J., Gollub, R. L., Ho, B. C., Magnotta, V., Jung, R., McCarley, R., Schulz, S. C., Lauriello, J., Clark, V. P., Voyvodic, J., Diaz, M. T., and Calhoun, V. D. (2009). Voxelbased morphometric multi-site collaborative study on schizophrenia. Schizophr. Bull. 35, 82-95.
19. Spiring, F., (2007). Introduction to statistical quality control (5th Edn.), by Douglas C. Montgomery. Technometrics 49 (1), 108-109. Available at: http://www.ingentaconnect.com/content/asa/tech/2007/00000049/00000001/art00026.
20. Sui, J., Adali, T., Pearlson, G., and Calhoun, V. D. (2009). An ICAbased method for the identifi cation of optimal FMRI features and components using combined group-discriminative techniques. Neuroimage 46, 73-86.
21. Tofts, P., ed. (2004). Quantitative MRI of the Brain: Measuring Changes Caused by Disease. Chichester: John Wiley and Sons.
22. Toga, A. W. (2002). Neuroimage databases: the good, the bad and the ugly. Nat. Rev. Neurosci. 3, 302-309.
23. Vessey, J. A., Broome, M. E., and Carlson, K. (2003). Conduct of multisite clinical studies by professional organizations. J. Spec. Pediatr. Nurs. 8, 13-21.