Abstract
Descriptions of neuroanatomical locations are often ambiguous. With the greatly increasing volumes of imaging data that are being produced and the increasing need to generate databases for the efficient analysis of these data, neuroscientists need to avoid such confusion in nomenclature. Here, I discuss the theory and practice on assigning locations to anatomical data, with a focus on data that have been collected from microscopic sections.
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References
Fritsch, G. & Hitzig, E. Über die elektrische Erregbarheit des Grosshirns. Arch. Anat. Physiol. Wissenschaftl. Med. Leipzig 37, 300–332 (1870).
Brodmann, K. Vergleichende Lokalisationslehre der Grosshirnrinde (Barth, Leipzig, 1909).
Paxinos, G. & Watson, C. The Rat Brain in Stereotaxic Coordinates (Academic, San Diego, 1998).
Swanson, L. W. Brain Maps: Structure of the Rat Brain (Elsevier, Amsterdam, 1999).
Paxinos, G. & Franklin, K. B. J. The Mouse Brain in Stereotaxic Coordinates (Academic, San Diego, 2001).
Malmierca, M. S., Leergaard, T. B., Bajo, V. M., Bjaalie, J. G. & Merchan, M. A. Anatomic evidence of a three-dimensional mosaic pattern of tonotopic organization in the ventral complex of the lateral lemniscus in cat. J. Neurosci. 18, 10603–10618 (1998).
Leergaard, T. B., Alloway, K. D., Mutic, J. J. & Bjaalie, J. G. Three-dimensional topography of corticopontine projections from rat barrel cortex: correlations with corticostriatal organization. J. Neurosci. 20, 8474–8484 (2000).
Leergaard, T. B. et al. Rat somatosensory cerebropontocerebellar pathways: spatial relationships of the somatotopic map of the primary somatosensory cortex are preserved in a three-dimensional clustered pontine map. J. Comp. Neurol. 422, 246–266 (2000).
Wilson, T. Trends in confocal microscopy. Trends Neurosci. 12, 486–493 (1989).
Brevik, A., Leergaard, T. B., Svanevik, M. & Bjaalie, J. G. Three-dimensional computerized atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data. Anat. Embryol. 204, 319–332 (2001).
Leergaard, T. B. & Bjaalie, J. G. in Computational Neuroanatomy: Principles and Methods (ed. Ascoli, G. A.) 199–217 (Humana, Totawa, New Jersey, 2002).
Drury, H. A. et al. Computerized mapping of the cerebral cortex: a multiresolution flattening method and a surface-based coordinate system. J. Cogn. Neurosci. 8, 1–28 (1996).
Van Essen, D. C., Drury, H. A., Joshi, S. & Miller, M. I. Functional and structural mapping of human cerebral cortex: solutions are in the surface. Proc. Natl Acad. Sci. USA 95, 788–799 (1998).
Fischl, B., Sereno, M. I., Tootell, R. B. & Dale, A. M. High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8, 272–284 (1999).
Roland, P. E. & Zilles, K. Brain atlases — a new research tool. Trends Neurosci. 17, 458–467 (1994).
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. & Lancaster, J. A probabilistic atlas of the human brain: theory and rationale for its development. Neuroimage 2, 89–101 (1995).
Toga, A. W., Thompson, P. M., Mega, M. S., Narr, K. L. & Blanton, R. E. Probabilistic approaches for atlasing of normal and disease-specific brain variability. Anat. Embryol. 204, 267–282 (2001).
Toga, A. W. Brain Warping (Academic, New York, 1998).
Van Horn, J. D. et al. 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 356, 1323–1339 (2001).
Fox, P. T. & Lancaster, J. L. Mapping context and content: the BrainMap model. Nature Rev. Neurosci. 3, 319–321 (2002).
Roland, P. et al. A database generator for human brain imaging. Trends Neurosci. 24, 562–564 (2001).
Acknowledgements
I am grateful to all members of the NeSys Laboratory for their enthusiasm and helpful comments. In particular, I thank T. B. Leergaard for stimulating discussions and assistance with the preparation of the figures. NeSys research is supported by grants from The Research Council of Norway, The Jahre Foundation and The European Community.
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Encyclopedia of Life Sciences
European Computerized Human Brain Database
International Consortium for Brain Mapping
MIT Encyclopedia of Cognitive Sciences
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Bjaalie, J. Localization in the brain: new solutions emerging. Nat Rev Neurosci 3, 322–325 (2002). https://doi.org/10.1038/nrn790
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DOI: https://doi.org/10.1038/nrn790
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