NDLI: Statistical physics approach to quantifying differences in myelinated nerve fibers

Content Provider	PubMed Central
Author	Comin, César H. Santos, João R. Corradini, Dario Morrison, Will Curme, Chester Rosene, Douglas L. Gabrielli, Andrea Costa, Luciano Da F. Stanley, H. Eugene
Copyright Year	2014
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.
Related Links	http://dx.doi.org/10.1038/srep04511
Starting Page	4511
File Format	PDF
ISSN	20452322
e-ISSN	20452322
Journal	Scientific Reports
Volume Number	4
Language	English
Publisher	Nature Publishing Group
Publisher Date	2014-03-01
Access Restriction	Open
Rights Holder	Nature Publishing Group
Subject Keyword	Science and technology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Statistical physics approach to quantifying differences in myelinated nerve fibers

CONTINUOUS CONDUCTION OF ACTION POTENTIALS BY SINGLE MYELINATED FIBERS OF DESHEATHED NERVE: TYPES OF NORMAL NERVE FIBERS *

PRODUCTION OF ACTION POTENTIALS BY THE INTERNODES OF ISOLATED MYELINATED NERVE FIBERS *

Myelinated retinal nerve fibers

Theory of the flow of action currents in isolated myelinated nerve fibers. IV.

Theory of the flow of action currents in isolated myelinated nerve fibers. V.

Theory of the flow of action currents in isolated myelinated nerve fibers. VI.

Theory of the flow of action currents in isolated myelinated nerve fibers. VII.

Theory of the flow of action currents in isolated myelinated nerve fibers. X.

Statistical physics approach to quantifying differences in myelinated nerve fibers

Similar Documents

Statistical physics approach to quantifying differences in myelinated nerve fibers

CONTINUOUS CONDUCTION OF ACTION POTENTIALS BY SINGLE MYELINATED FIBERS OF DESHEATHED NERVE: TYPES OF NORMAL NERVE FIBERS *

PRODUCTION OF ACTION POTENTIALS BY THE INTERNODES OF ISOLATED MYELINATED NERVE FIBERS *

Myelinated retinal nerve fibers

Theory of the flow of action currents in isolated myelinated nerve fibers. IV.

Theory of the flow of action currents in isolated myelinated nerve fibers. V.

Theory of the flow of action currents in isolated myelinated nerve fibers. VI.

Theory of the flow of action currents in isolated myelinated nerve fibers. VII.

Theory of the flow of action currents in isolated myelinated nerve fibers. X.

Statistical physics approach to quantifying differences in myelinated nerve fibers