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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Statistical physics approach to quantifying differences in myelinated nerve fibers

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Author(s):
Comin, Cesar H. [1] ; Santos, Joao R. [2, 3] ; Corradini, Dario [2, 3] ; Morrison, Will [3, 2] ; Curme, Chester [2, 3] ; Rosene, Douglas L. [4] ; Gabrielli, Andrea [5, 6] ; Costa, Luciano da F. [1] ; Stanley, H. Eugene [3, 2]
Total Authors: 9
Affiliation:
[1] Univ Sao Paulo, Inst Phys Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil
[2] Boston Univ, Dept Phys, Boston, MA 02215 - USA
[3] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 - USA
[4] Boston Univ, Dept Anat & Neurobiol, Sch Med, Boston, MA 02118 - USA
[5] Univ Roma La Sapienza, UOS Sapienza, Dipartimento Fis, ISC, CNR, I-00185 Rome - Italy
[6] IMT Alti Studi Lucca, I-55100 Lucca - Italy
Total Affiliations: 6
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 4, MAR 28 2014.
Web of Science Citations: 0
Abstract

We present a new method to quantify differences in myelinated nerve fibers. These differences range from morphologic characteristics of individual fibers to differences in macroscopic properties of collections of fibers. Our method uses statistical physics tools to improve on traditional measures, such as fiber size and packing density. As a case study, we analyze cross-sectional electron micrographs from the fornix of young and old rhesus monkeys using a semi-automatic detection algorithm to identify and characterize myelinated axons. We then apply a feature selection approach to identify the features that best distinguish between the young and old age groups, achieving a maximum accuracy of 94% when assigning samples to their age groups. This analysis shows that the best discrimination is obtained using the combination of two features: the fraction of occupied axon area and the effective local density. The latter is a modified calculation of axon density, which reflects how closely axons are packed. Our feature analysis approach can be applied to characterize differences that result from biological processes such as aging, damage from trauma or disease or developmental differences, as well as differences between anatomical regions such as the fornix and the cingulum bundle or corpus callosum. (AU)

FAPESP's process: 11/22639-8 - Unveiling the relationship between structure and dynamics on modular networks
Grantee:Cesar Henrique Comin
Support type: Scholarships in Brazil - Doctorate
FAPESP's process: 11/50761-2 - Models and methods of e-Science for life and agricultural sciences
Grantee:Roberto Marcondes Cesar Junior
Support type: Research Projects - Thematic Grants