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Application of neural oscillators to study the effects of walking speed on rhythmic activations at the ankle

Background: Spinal pattern generators (SPG) are neural networks in the spinal cord that do not require a central input from the brain to generate a motor output. We wanted to determine whether SPG can adapt to the changing motor demands from walking at different speeds, and performing silly walks. Methods: An SPG model consisting of an oscillator made up of two neurons was utilised in this study; one neuron activates the soleus and the other activates the tibialis anterior. The outputs of the SPG model therefore represent the electromyographic measurements from each muscle. Seven healthy subjects were requested to perform silly walks, normal walking at self-selected speed (4.8 ± 0.5 km/h), 3.5 km/h, 4.0 km/h and 4.5 km/h on a treadmill. Loading and hip angles were used as inputs into the model. Results: No significant differences in the model parameters were found between normal walking at self-selected speed and other walking speeds. Only the adaptation time constant for the ankle flexor during silly walks was significantly different from the other normal walking trials. Conclusion: We showed that SPG in the spinal cord can interpret and respond accordingly to velocitydependent afferent information. Changes in walking speed do not require a different motor control mechanism provided there is no disruption to the alternating muscular activations generated at the ankle.

Titel: Application of neural oscillators to study the effects of walking speed on rhythmic activations at the ankle
Verfasser: Chong, Sook-Yee GND
Wagner, Heiko
Wulf, Arne
Organisation: FB 07: Psychologie und Sportwissenschaft
FB 05: Medizinische Fakultät
Dokumenttyp: Artikel
Medientyp: Text
Erscheinungsdatum: 13.02.2013
Publikation in MIAMI: 12.03.2013
Datum der letzten Änderung: 16.04.2019
Quelle: Theoretical Biology and Medical Modelling 10 (2013) 9
Schlagwörter: Locomotion; Walking speed; Silly walks; EMG; Spinal pattern generator; Neural network; Sensory afferents; Motor control
Fachgebiete: Medizin und Gesundheit
Lizenz: CC BY 2.0
Sprache: Englisch
Anmerkungen: Finanziert durch den Open-Access-Publikationsfonds 2012/2013 der Deutschen Forschungsgemeinschaft (DFG) und der Westfälischen Wilhelms-Universität Münster (WWU Münster).
Format: PDF-Dokument
URN: urn:nbn:de:hbz:6-87359485807
DOI: doi:10.1186/1742-4682-10-9