Journal article
A statistically based density map method for identification and quantification of regional differences in microcolumnarity in the monkey brain
Journal of neuroscience methods, v 141(2), pp 321-332
2005
PMID: 15661314
Abstract
We present a statistical density map method derived from condensed matter physics to quantify microcolumns, the fundamental computational unit of the cerebral cortex. This method provides measures for microcolumnar strength, width, spacing, length, and periodicity. We applied this method to Nissl-stained 30
μm thick frozen sections from areas 46, TE, and TL of rhesus monkey brains, areas that differ visually in microcolumnarity and are associated with different cognitive functions. Our results indicate that microcolumns in these areas are similar in width, spacing, and periodicity, but are stronger (possess a higher neuronal density) in area TE, as compared to areas TL and 46. We modeled the effect of section orientation on microcolumnar spacing and demonstrated that this method provides an adequate estimate of spacing. We also modeled disruption of microcolumnarity by performing simulations that randomly displace neurons and demonstrated that displacements of only one neuronal diameter effectively eliminate microcolumnar organization. These results indicate that our density map method is sensitive enough to detect and quantify subtle differences in microcolumnar organization that may occur in the context of development, aging, and neuropathology, as well as between areas and species.
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Details
- Title
- A statistically based density map method for identification and quantification of regional differences in microcolumnarity in the monkey brain
- Creators
- Luis Cruz - Department of Physics, Center for Polymer Studies, Boston University, 590 Commonwealth Ave, Boston, MA 02215, USASergey V Buldyrev - Department of Physics, Center for Polymer Studies, Boston University, 590 Commonwealth Ave, Boston, MA 02215, USAShouyong Peng - Department of Physics, Center for Polymer Studies, Boston University, 590 Commonwealth Ave, Boston, MA 02215, USADaniel L Roe - Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118, USABrigita Urbanc - Department of Physics, Center for Polymer Studies, Boston University, 590 Commonwealth Ave, Boston, MA 02215, USAH.E Stanley - Department of Physics, Center for Polymer Studies, Boston University, 590 Commonwealth Ave, Boston, MA 02215, USADouglas L Rosene - Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
- Publication Details
- Journal of neuroscience methods, v 141(2), pp 321-332
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000226882600015
- Scopus ID
- 2-s2.0-12344338526
- Other Identifier
- 991014878481004721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Biochemical Research Methods
- Neurosciences