Interactive exploration of neuroanatomical meta-spaces

Frontiers in Neuroinformatics

Volumn 3, Issue NOV, 2009, Pages

  Joshi, Shantanu H ^a   Van Horn, John Darrell ^a   Toga, Arthur W ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

3D visualization; Meta analysis; Neuroanatomical data mining; Visual data mining

Indexed keywords

EID: 77956196365     PISSN: 16625196     EISSN: None     Source Type: Journal    
DOI: 10.3389/neuro.11.038.2009     Document Type: Article

References (32)

1. Callahan, M., Cole, M. J., Shepherd, J. F., Stinstra, J. G., and Johnson, C. R. (2009). A meshing pipeline for biomedical computing. Eng. Comput. 1, 115-130.
2. Chen, J., Zheng, T., Thorne, W., Zaiane, O. R., and Goebel, R. (2007). Visual data mining of web navigational data. In IV '07: Proceedings of the 11th International Conference Information Visualization, Washington, DC, IEEE Computer Society, pp. 649-656.
3. Chupin, M., Chetelat, G., Lemieux, L., Dubois, B., Garnero, L., Benali, H., Eustache, F., Lehericy, S., Desgranges, B., and Colliot, O. (2008). Fully automatic hippocampus segmentation discriminates between early Alzheimer's disease and normal aging. In th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008., pp. 97-100.
4. Dinov, I., Van Horn, J. D., Lozev, K. M., Magsipoc, R., Petrosyan, P., Liu, Z., MacKenzie-Graham, A., Eggert, P., Parker, D. S., and Toga, A. W. (2009). Effi cient, distributed and interactive neuroimaging data analysis using the LONI pipeline. Front. Neuroinform. 3, doi:10.3389/neuro.11.022.2009.
5. Dubois, B., Feldman, H. H., Jacova, C., Dekosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., Meguro, K., O'brien, J., Pasquier, F., Robert, P., Rossor, M., Salloway, S., Stern, Y., Visser, P. J., and Scheltens, P. (2007). Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS-ADRDA criteria. Lancet Neurol. 8, 734-746.
6. Eckersley, P., Egan, G., DeSchutter, E., Yiyuan, T., Novak, M., Sebesta, V., Matthiessen, L., Jaaskelainen, I., Ruotsalainen, U., Herz, A., Hoffmann, K.-P., Ritz, R., Ravindranath, V., Beltrame, F., Amari, S.-I., Usui, S., Lee, S.-Y., van Pelt, J., Bjaalie, J., Wrobel, A., daSilva, F., Gonzalez, C., Grillner, S., Verschure, P., Dalkara, T., Bennett, R., Willshaw, D., Koslow, S., Miller, P., Subramaniam, S., and Toga, A. (2003). Neuroscience data and tool sharing. Neuroinformatics 2, 149-165.
7. Evans, A. C. (2006). The NIH MRI study of normal brain development. Neuroimage 1, 184-202.
8. Forsberg, L. and Roland, P. (2008). 1st incf workshop on neuroimaging database integration. In Nature Precedings. available at: http://dx.doi.org/10.1038/npre.2008.1781.1/
9. Garland, M. and Heckbert, P. (1997). Surface simplifi cation using quadric error metrics. In SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, New York, NY, ACM Press/Addison-Wesley Publishing Co, pp. 209-216.
10. Gosche, K. M., Mortimer, J. A., Smith, C. D., Markesbery, W. R., and Snowdon, D. A. (2002). Hippocampal volume as an index of Alzheimer neuropathology: Findings from the nun study. Neurology 10, 1476-1482.
11. Grethe, J. S., Baru, C., Gupta, A., James, M., Ludaescher, B., Martone, M. E., Papadopoulos, P. M., Peltier, S. T., Rajasekar, A., Santini, S., Zaslavsky, I. N., and Ellisman, M. H. (2005). Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of disease. Stud. Health Technol. Inform. 112, 100-109.
12. Hao, M. C., Dayal, U., and Hsu, M. (2000). Visual data mining for business intelligence applications. In WAIM '00: Proceedings of the First International Conference on Web-Age Information Management, London, Springer-Verlag, pp. 3-14.
13. Herskovits, E. H., and Chen, R. (2008). Integrating data-mining support into a brain-image database using open-source components. Adv. Med. Sci 2, 172-181.
14. Hinds, O., Polimeni, J. R., Rajendran, N., Balasubramanian, M., Wald, L. L., Augustinack, J. C., Wiggins, G., Rosas, H. D., Fischl, B., and Schwartz, E. L. (2008). The intrinsic shape of human and macaque primary visual cortex. Cerebral. Cortex 11, 2586-2595.
15. Hurd, N. A. (2005). Neuroscience Information Framework.
16. Keim, D. A. (2002). Information visualization and visual data mining. IEEE Trans. Vis. Comput. Graph. 1, 1-8.
17. Keim, D. A., Panse, C., Sips, M., and North, S. C. (2004). Visual data mining in large geospatial point sets. IEEE Comput. Graph. Appl. 5, 36-44.
18. Kruskal, J. B., and Wish, M. (1978). Multidimensional scaling. Beverly Hills, CA, Sage Publications.
19. Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., Woods, R., Paus, T., Simpson, G., Pike, B., Holmes, C., Collins, L., Thompson, P., MacDonald, D., Iacoboni, M., Schormann, T., Amunts, K., Palomero-Gallagher, N., Geyer, S., Parsons, L., Narr, K., Kabani, N., LeGoualher, G., Boomsma, D., Cannon, T., Kawashima, R., and Mazoyer, B. (2001). A probabilistic atlas and reference system for the human brain: International consortium for brain mapping (ICBM). Philos. Trans. R. Soc. Lond., B, Biol. Sci. 1412, 1293-1322.
20. Narr, K. L., Bilder, R. M., Toga, A. W., Woods, R. P., Rex, D. E., Szeszko, P. R., Robinson, D., Sevy, S., Gunduz-Bruce, H., Wang, Y., DeLuca, H., and Thompson, P. M. (2005). Mapping cortical thickness and gray matter concentration in first episode schizophrenia. Cerebral. Cortex 6, 708-719.
21. Nielsen, F. A., Balslev, D., and Hansen, L. (2006). Data mining a functional neuroimaging database for functional segregation in brain regions. In Danske Konference i Mønstergenkendelse og Billedanalyse.
22. Rex, D. E., Ma, J. Q., and Toga, A. W. (2003). The LONI pipeline processing environment. Neuroimage 3, 1033-1048.
23. Shattuck, D. W., and Leahy, R. M. (2002). Brainsuite: an automated cortical surface identifi cation tool. Med. Image Anal. 2, 129-142.
24. Smith, S. M. (2002). Fast robust automated brain extraction. Hum. Brain Mapp. 3,. 143-155.
25. Souza, T., Kush, R., and Evans, J. P. (2007). Global clinical data interchange standards are here! Drug Discov. Today 3-4, 174-181.
26. Swayne, D. F., Buja, A., and Lang, D. T. (2003). Exploratory visual analysis of graphs in ggobi. In CompStat: Proceedings in Computational Statistics, 16th Symposium, pp. 477-488.
27. Szalay, A., and Gray, J. (2001). The World-Wide Telescope. Science 5537, 2037-2040.
28. Thompson, P. M., Mega, M. S., Woods, R. P., Zoumalan, C. I., Lindshield, C. J., Blanton, R. E., Moussai, J., Holmes, C. J., Cummings, J. L., and Toga, A. W. (2001). Cortical change in alzheimer's disease detected with a disease-specific population-based brain atlas. Cerebral. Cortex 1, 1-16.
29. Tu, Z., Narr, K. L., Dollar, P., Dinov, I., Thompson, P. M., and Toga, A. W. (2008). Brain anatomical structure segmentation by hybrid discriminative/generative models. IEEE Trans. Med. Imaging 4, 495-508.
30. Van Horn, J. D., and Gazzaniga, M. S. (2002). Opinion: Databasing fMRI studies towards a 'discovery science' of brain function. Nat. Rev. Neurosci. 4, 314-318.
31. Van Horn, J. D., Grethe, J. S., Kostelec, P., Woodward, J. B., Aslam, J. A., Rus, D., Rockmore, D., and Gazzaniga, M. S. (2001). The functional magnetic resonance imaging data center (fMRIDC): the challenges and rewards of large-scale databasing of neuroimaging studies. Philos. Trans. R. Soc. Lond., B, Biol. Sci. 1412, 1323-1339.
32. Woods, R. P., Grafton, S. T., Holmes, C. J., Cherry, S. R., and Mazziotta, J. C. (1998). Automated image registration: I. general methods and intrasubject, intramodality validation. J. Comput. Assist. Tomogr. 1, 139-152.