Journal article
A computational model for the loss of neuronal organization in microcolumns
Biophysical journal, v 106(10), pp 2233-2242
20 May 2014
PMID: 24853752
Abstract
A population of neurons in the cerebral cortex of humans and other mammals organize themselves into vertical microcolumns perpendicular to the pial surface. Anatomical changes to these microcolumns have been correlated with neurological diseases and normal aging; in particular, in area 46 of the rhesus monkey brain, the strength of microcolumns was shown to decrease with age. These changes can be caused by alterations in the spatial distribution of the neurons in microcolumns and/or neuronal loss. Using a three-dimensional computational model of neuronal arrangements derived from thin tissue sections and validated in brain tissue from rhesus monkeys, we show that neuronal loss is inconsistent with the findings in aged individuals. In contrast, a model of simple random neuronal displacements, constrained in magnitude by restorative harmonic forces, is consistent with observed changes and provides mechanistic insights into the age-induced loss of microcolumnar structure. Connection of the model to normal aging and disease are discussed.
Metrics
Details
- Title
- A computational model for the loss of neuronal organization in microcolumns
- Creators
- Maxwell Henderson - Department of Physics, Drexel University, Philadelphia, PennsylvaniaBrigita Urbanc - Department of Physics, Drexel University, Philadelphia, PennsylvaniaLuis Cruz - Department of Physics, Drexel University, Philadelphia, Pennsylvania. Electronic address: ccruz@drexel.edu
- Publication Details
- Biophysical journal, v 106(10), pp 2233-2242
- Publisher
- Elsevier; United States
- Grant note
- AG021133 / NIA NIH HHS R01 AG021133 / NIA NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000336353200018
- Scopus ID
- 2-s2.0-84901256799
- Other Identifier
- 991014878152904721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biophysics