A hybrid approach for the control of axonal outgrowth: preliminary simulation results.
The possible control of axonal outgrowth during neural regeneration could be very useful not only from a neurobiological point of view, but also in the field of neural interfaces. In this manuscript, simulations are presented which investigate the possibility of guiding axons by using a hybrid appro...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 49; no. 2; pp. 163 - 171 |
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| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2011
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104569951&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104569951 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2011 vid: 49 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104569951 NLM20924708 2010935206 10.1007/s11517-010-0687-x NLM20924708 104569951 ppf: 163 ppct: 8 formats: fmt: @attributes: type: P tig: atl: A hybrid approach for the control of axonal outgrowth: preliminary simulation results. aug: au: Ciofani G Sergi PN Carpaneto J Micera S Ciofani, Gianni Sergi, Pier Nicola Carpaneto, Jacopo Micera, Silvestro affil: ARTS, CRIM and IIT Labs, Scuola Superiore Sant'Anna, piazza Martiri della Libertà, 33-56127 Pisa, Italy sug: subj: Nerve Fibers Physiology Guided Tissue Regeneration Methods Models, Biological Nerve Regeneration Physiology Algorithms Latex ab: The possible control of axonal outgrowth during neural regeneration could be very useful not only from a neurobiological point of view, but also in the field of neural interfaces. In this manuscript, simulations are presented which investigate the possibility of guiding axons by using a hybrid approach based on the combined used of a chemical model and of a genetic algorithm. Microspheres embedding chemical cues on the basis of information provided by a genetic algorithm are placed to impose a desired trajectory on the axons. Two kinds of simulations were carried out: (i) tracking of linear trajectories; (ii) tracking of trajectories, which were reconstructed from real axonal extension. The results achieved during the simulations seem to confirm the possible use of this approach to guide axonal outgrowth, being the obtained trajectories congruent to possible actual situations. Moreover, the model can be easily extended to a three-dimensional environment. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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