Abstract
The Brain Database is an information tool designed to aid in the integration of clinical and research results in neuroanatomy and regional biochemistry. It can handle a wide range of data types including natural images, 2 and 3-dimensional graphics, video, numeric data and text. It is organized around three main entities: structures, substances and processes. The database will support a wide variety of graphical interfaces. Two sample interfaces have been made.
This tool is intended to serve as one component of a system that would allow neuroscientists and clinicians 1) to represent clinical and experimental data within a common framework 2) to compare results precisely between experiments and among laboratories, 3) to use computing tools as an aid in collaborative work and 4) to contribute to a shared and accessible body of knowledge about the nervous system.
Full text
PDF
Selected References
These references are in PubMed. This may not be the complete list of references from this article.
- Agnati L. F., Fuxe K., Locatelli V., Benfenati F., Zini I., Panerai A. E., El Etreby M. F., Hökfelt T. Neuroanatomical methods for the quantitative evaluation of coexistence of transmitters in nerve cells. Analysis of the ACTH- and beta-endorphin immunoreactive nerve cell bodies of the mediobasal hypothalamus of the rat. J Neurosci Methods. 1982 Mar;5(3):203–214. doi: 10.1016/0165-0270(82)90070-x. [DOI] [PubMed] [Google Scholar]
- Banks G., Vries J. K., McLinden S. Radiologic automated diagnosis (RAD). Comput Methods Programs Biomed. 1987 Sep-Oct;25(2):157–167. doi: 10.1016/0169-2607(87)90051-4. [DOI] [PubMed] [Google Scholar]
- Banks G., Weimer B. Symbolic coordinate anatomy for neurology (SCAN). J Med Syst. 1984 Jun;8(3):157–162. doi: 10.1007/BF02224499. [DOI] [PubMed] [Google Scholar]
- Bydder G. M. Nuclear magnetic resonance of the brain. Cardiovasc Intervent Radiol. 1986;8(5-6):264–274. doi: 10.1007/BF02552362. [DOI] [PubMed] [Google Scholar]
- Cowan W. M., Gottlieb D. I., Hendrickson A. E., Price J. L., Woolsey T. A. The autoradiographic demonstration of axonal connections in the central nervous system. Brain Res. 1972 Feb 11;37(1):21–51. doi: 10.1016/0006-8993(72)90344-7. [DOI] [PubMed] [Google Scholar]
- Glaser E. M., McMullen N. T. Semiautomatic microscopy as a tool for cytologists. Anal Quant Cytol Histol. 1986 Jun;8(2):116–127. [PubMed] [Google Scholar]
- Hahn F. J., Chu W. K., Coleman P. E., Anderson J. C., Dobry C. A., Imray T. J., Hahn P. Y., Lee S. H. Artifacts and diagnostic pitfalls on magnetic resonance imaging: a clinical review. Radiol Clin North Am. 1988 Jul;26(4):717–735. [PubMed] [Google Scholar]
- Hökfelt T., Fuxe K., Goldstein M. Applications of immunohistochemistry to studies on monoamine cell systems with special reference to nervous tissues. Ann N Y Acad Sci. 1975 Jun 30;254:407–432. doi: 10.1111/j.1749-6632.1975.tb29192.x. [DOI] [PubMed] [Google Scholar]
- LaVail J. H., LaVail M. M. Retrograde axonal transport in the central nervous system. Science. 1972 Jun 30;176(4042):1416–1417. doi: 10.1126/science.176.4042.1416. [DOI] [PubMed] [Google Scholar]
- Landreth G. E., Neale E. A., Neale J. H., Duff R. S., Braford M. R., Jr, Northcutt R. G., Agranoff B. W. Evaluation of [3-H]proline for radioautographic tracing of axonal projections in the teleost visual system. Brain Res. 1975 Jun 20;91(1):25–42. doi: 10.1016/0006-8993(75)90464-3. [DOI] [PubMed] [Google Scholar]
- Lasek R., Joseph B. S., Whitlock D. G. Evaluation of a radioautographic neuroanatomical tracing method. Brain Res. 1968 May;8(2):319–336. doi: 10.1016/0006-8993(68)90052-8. [DOI] [PubMed] [Google Scholar]
- Pearlstein R. A., Kirschner L., Simons J., Machell S., White W. F., Sidman R. L. A multimodal system for reconstruction and quantification of neurologic structures. Anal Quant Cytol Histol. 1986 Jun;8(2):108–115. [PubMed] [Google Scholar]
- Zipser B., McKay R. Monoclonal antibodies distinguish identifiable neurones in the leech. Nature. 1981 Feb 12;289(5798):549–554. doi: 10.1038/289549a0. [DOI] [PubMed] [Google Scholar]