Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Medical & Biological Engineering & Computing

01.02.2011 | Original Article

A hybrid approach for the control of axonal outgrowth: preliminary simulation results

verfasst von: Gianni Ciofani, Pier Nicola Sergi, Jacopo Carpaneto, Silvestro Micera

Erschienen in: Medical & Biological Engineering & Computing | Ausgabe 2/2011

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

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.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Cao X, Schoichet MS (1999) Delivering neuroactive molecules from biodegradable microspheres for application in central nervous system disorders. Biomaterials 20:329–339CrossRefPubMed
2.
Chan L, Lee H, Heng P (2002) Production of alginate microspheres by internal gelation using an emulsification method. Int J Pharm 242:259–262CrossRefPubMed
3.
Chang X, Lilly JH (2004) Evolutionary design of a fuzzy classifier from data. IEEE Trans Syst Man Cybern B Cybern 34:1894–1906CrossRefPubMed
4.
Ciofani G, Raffa V, Menciassi A, Micera S, Dario P (2007) A drug delivery system based on alginate microspheres: mass-transport test and in vitro validation. Biomed Microdevices 9:395–403CrossRefPubMed
5.
Ciofani G, Raffa V, Menciassi A, Cuschieri A, Micera S (2009) Magnetic alginate microspheres: system for the position controlled delivery of nerve growth factor. Biomed Microdevices 11:517–527CrossRefPubMed
6.
Dario P, Garzella P, Toro M, Micera S, Alavi M, Meyer U, Valderrama E, Sebastiani L, Ghelarducci B, Mazzoni C, Pastacaldi P (1998) Neural interfaces for regenerated nerve stimulation and recording. IEEE Trans Rehabil Eng 6:353–363CrossRefPubMed
7.
Deb K, Anand A, Joshi D (2002) A computationally efficient evolutionary algorithm for real-parameter optimization. Evol Comput 10:371–395CrossRefPubMed
8.
Dhillon GS, Horch KW (2005) Direct neural sensory feedback and control of a prosthetic arm. IEEE Trans Neural Syst Rehabil Eng 13:468–472CrossRefPubMed
9.
Edell DJ (1986) A peripheral nerve information transducer for amputees: long-term multichannel recordings from rabbit peripheral nerves. IEEE Trans Biomed Eng 33:203–214CrossRefPubMed
10.
11.
12.
13.
Goodhill GJ, Gu M, Urbach JS (2004) Predicting axonal response to molecular gradients with a computational model of filopodial dynamics. Neural Comput 16:2221–2243CrossRefPubMed
14.
Grill WM, Norman SE, Bellamkonda RV (2009) Implanted neural interfaces: biochallenges and engineered solutions. Annu Rev Biomed Eng 11:1–24CrossRefPubMed
15.
Höke A, Redett R, Hameed H, Jari R, Zhou C, Li ZB, Griffin JW, Brushart TM (2006) Schwann cells express motor and sensory phenotypes that regulate axon regeneration. J Neurosci 26:9646–9655CrossRefPubMed
16.
Holland JH (1975) Adaptation in natural and artificial systems. MIT Press, Cambridge
17.
Hudson TW, Evans GR, Schmidt CE (1999) Engineering strategies for peripheral nerve repair. Clin Plast Surg 26:617–628PubMed
18.
Jin Y, Branke J (2005) Evolutionary optimization in uncertain environments—a survey. IEEE Trans Evol Comput 9:303–317CrossRef
19.
Krottje JK, van Ooyen A (2007) A mathematical framework for modeling axon guidance. Bull Math Biol 69:3–31CrossRefPubMed
20.
Lago N, Ceballos D, Rodríguez FJ, Stieglitz T, Navarro X (2005) Long term assessment of axonal regeneration through polyimide regenerative electrodes to interface the peripheral nerve. Biomaterials 26:2021–2031CrossRefPubMed
21.
Li GH, Qin CD (1996) A model for neurite growth and neuronal morphogenesis. Math Biosci 132:97–110CrossRefPubMed
22.
Maskery S, Shinbrot T (2005) Deterministic and stochastic elements of axonal guidance. Annu Rev Biomed Eng 7:187–221CrossRefPubMed
23.
Maysinger D, Krieglstein K, Filipovic-Grcic J, Sendtner M, Unsicker K, Richardson P (1996) Microencapsulated ciliary neurotrophic factor: physical properties and biological activities. Exp Neurol 138:177–188CrossRefPubMed
24.
Mezura-Montes E, Coello CAC (2005) A simple multimembered evolution strategy to solve constrained optimization problems. IEEE Trans Evol Comput 9:1–17CrossRef
25.
Micera S, Citi L, Rigosa J, Carpaneto J, Raspopovic S, Dipino G, Rossini L, Yoshida K, Rossini PM (2010) Decoding sensory and motor information from neural signals recorded using intraneural electrodes: towards the development of a neurocontrolled hand prosthesis. Proc IEEE 98:407–417CrossRef
26.
Micera S, Navarro X (2009) Bidirectional interfaces with the peripheral nervous system. Int Rev Neurobiol 86:23–38CrossRefPubMed
27.
Micera S, Carrozza M, Vecchi F, Beccai L, Dario P (2006) Hybrid bionic systems for the replacement of hand function. Proc IEEE 94:1752–1762CrossRef
28.
Michalewicz Z (1994) Genetic algorithms + data structures = evolution programs. Springer-Verlag New York, Inc., New York, NY, USA
29.
Millesi H, Ganglberger J, Berger A (1967) Erfharungen mit der Mikrochirurgie peripherer. Nerven Chir Plast 3:47
30.
Ming G, Henley J, Tessier-Lavigne M, Song H, Poo M (2001) Electrical activity modulates growth cone guidance by diffusible factors. Neuron 29:441–452CrossRefPubMed
31.
Navarro X, Krueger TB, Lago N, Micera S, Stieglitz T, Dario P (2005) A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems. J Peripher Nerv Syst 10:229–258CrossRefPubMed
32.
Ramachandran A, Schuettler M, Lago N, Doerge T, Koch KP, Navarro X, Hoffmann KP, Stieglitz T (2006) Design, in vitro and in vivo assessment of a multi-channel sieve electrode with integrated multiplexer. J Neural Eng 3:114–124CrossRefPubMed
33.
Riso RR (1999) Strategies for providing upper extremity amputees with tactile and hand position feedback—moving closer to the bionic arm. Technol Health Care 7:401–409PubMed
34.
Rudolph G (1994) Convergence analysis of canonical genetic algorithms. IEEE Trans Neural Netw 5:96–101CrossRefPubMed
35.
Segev R, Ben-Jacob E (2000) Generic modeling of chemotactic based self-wiring of neural networks. Neural Netw 13:185–199CrossRefPubMed
36.
Metadaten
Titel
A hybrid approach for the control of axonal outgrowth: preliminary simulation results
verfasst von
Gianni Ciofani
Pier Nicola Sergi
Jacopo Carpaneto
Silvestro Micera
Publikationsdatum
01.02.2011
Verlag
Springer-Verlag
Erschienen in
Medical & Biological Engineering & Computing / Ausgabe 2/2011
Print ISSN: 0140-0118
Elektronische ISSN: 1741-0444
DOI
https://doi.org/10.1007/s11517-010-0687-x