Locomotor sequence learning in visually guided walking

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Locomotor sequence learning in visually guided walking. / Choi, Julia T; Jensen, Peter; Nielsen, Jens Bo.

In: Journal of Neurophysiology, Vol. 115, No. 4, jn.00938.2015, 2016, p. 2014-2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Choi, JT, Jensen, P & Nielsen, JB 2016, 'Locomotor sequence learning in visually guided walking', Journal of Neurophysiology, vol. 115, no. 4, jn.00938.2015, pp. 2014-2020. https://doi.org/10.1152/jn.00938.2015

APA

Choi, J. T., Jensen, P., & Nielsen, J. B. (2016). Locomotor sequence learning in visually guided walking. Journal of Neurophysiology, 115(4), 2014-2020. [jn.00938.2015]. https://doi.org/10.1152/jn.00938.2015

Vancouver

Choi JT, Jensen P, Nielsen JB. Locomotor sequence learning in visually guided walking. Journal of Neurophysiology. 2016;115(4):2014-2020. jn.00938.2015. https://doi.org/10.1152/jn.00938.2015

Author

Choi, Julia T ; Jensen, Peter ; Nielsen, Jens Bo. / Locomotor sequence learning in visually guided walking. In: Journal of Neurophysiology. 2016 ; Vol. 115, No. 4. pp. 2014-2020.

Bibtex

@article{f490afa39eca4078ae5d0a55ac7c26fa,
title = "Locomotor sequence learning in visually guided walking",
abstract = "Voluntary limb modifications must be integrated with basic walking patterns during visually guided walking. Here we tested whether voluntary gait modifications can become more automatic with practice. We challenged walking control by presenting visual stepping targets that instructed subjects to modify step length from one trial to the next. Our sequence learning paradigm is derived from the serial reaction-time (SRT) task that has been used in upper limb studies. Both random and ordered sequences of step lengths were used to measure sequence-specific and sequence non-specific learning during walking. In addition, we determined how age (i.e., healthy young adults vs. children) and biomechanical factors (i.e., walking speed) affected the rate and magnitude of locomotor sequence learning. The results showed that healthy young adults (age 24 ± 5 years, N = 20) could learn a specific sequence of step lengths over 300 training steps. Younger children (age 6-10 years, N = 8) have lower baseline performance, but their magnitude and rate of sequence learning was the same compared to older children (11-16 years, N = 10) and healthy adults. In addition, learning capacity may be more limited at faster walking speeds. To our knowledge, this is the first study to demonstrate that spatial sequence learning can be integrated with a highly automatic task like walking. These findings suggest that adults and children use implicit knowledge about the sequence to plan and execute leg movement during visually guided walking.",
author = "Choi, {Julia T} and Peter Jensen and Nielsen, {Jens Bo}",
note = "CURIS 2016 NEXS 111",
year = "2016",
doi = "10.1152/jn.00938.2015",
language = "English",
volume = "115",
pages = "2014--2020",
journal = "Journal of Neurophysiology",
issn = "0022-3077",
publisher = "American Physiological Society",
number = "4",

}

RIS

TY - JOUR

T1 - Locomotor sequence learning in visually guided walking

AU - Choi, Julia T

AU - Jensen, Peter

AU - Nielsen, Jens Bo

N1 - CURIS 2016 NEXS 111

PY - 2016

Y1 - 2016

N2 - Voluntary limb modifications must be integrated with basic walking patterns during visually guided walking. Here we tested whether voluntary gait modifications can become more automatic with practice. We challenged walking control by presenting visual stepping targets that instructed subjects to modify step length from one trial to the next. Our sequence learning paradigm is derived from the serial reaction-time (SRT) task that has been used in upper limb studies. Both random and ordered sequences of step lengths were used to measure sequence-specific and sequence non-specific learning during walking. In addition, we determined how age (i.e., healthy young adults vs. children) and biomechanical factors (i.e., walking speed) affected the rate and magnitude of locomotor sequence learning. The results showed that healthy young adults (age 24 ± 5 years, N = 20) could learn a specific sequence of step lengths over 300 training steps. Younger children (age 6-10 years, N = 8) have lower baseline performance, but their magnitude and rate of sequence learning was the same compared to older children (11-16 years, N = 10) and healthy adults. In addition, learning capacity may be more limited at faster walking speeds. To our knowledge, this is the first study to demonstrate that spatial sequence learning can be integrated with a highly automatic task like walking. These findings suggest that adults and children use implicit knowledge about the sequence to plan and execute leg movement during visually guided walking.

AB - Voluntary limb modifications must be integrated with basic walking patterns during visually guided walking. Here we tested whether voluntary gait modifications can become more automatic with practice. We challenged walking control by presenting visual stepping targets that instructed subjects to modify step length from one trial to the next. Our sequence learning paradigm is derived from the serial reaction-time (SRT) task that has been used in upper limb studies. Both random and ordered sequences of step lengths were used to measure sequence-specific and sequence non-specific learning during walking. In addition, we determined how age (i.e., healthy young adults vs. children) and biomechanical factors (i.e., walking speed) affected the rate and magnitude of locomotor sequence learning. The results showed that healthy young adults (age 24 ± 5 years, N = 20) could learn a specific sequence of step lengths over 300 training steps. Younger children (age 6-10 years, N = 8) have lower baseline performance, but their magnitude and rate of sequence learning was the same compared to older children (11-16 years, N = 10) and healthy adults. In addition, learning capacity may be more limited at faster walking speeds. To our knowledge, this is the first study to demonstrate that spatial sequence learning can be integrated with a highly automatic task like walking. These findings suggest that adults and children use implicit knowledge about the sequence to plan and execute leg movement during visually guided walking.

U2 - 10.1152/jn.00938.2015

DO - 10.1152/jn.00938.2015

M3 - Journal article

C2 - 26864768

VL - 115

SP - 2014

EP - 2020

JO - Journal of Neurophysiology

JF - Journal of Neurophysiology

SN - 0022-3077

IS - 4

M1 - jn.00938.2015

ER -

ID: 156355831