The DOI matches its Crossref record.
Human Lumbosacral Spinal Cord Interprets Loading During Stepping
Abstract
Harkema, Susan J., Seanna L. Hurley, Uday K. Patel, Philip S. Requejo, Bruce H. Dobkin, and V. Reggie Edgerton. Human lumbosacral spinal cord interprets loading during stepping. J. Neurophysiol. 77: 797–811, 1997. Studies suggest that the human lumbosacral spinal cord can generate steplike oscillating electromyographic (EMG) patterns, but it remains unclear to what degree these efferent patterns depend on the phasic peripheral sensory information associated with bilateral limb movements and loading. We examined the role of sensory information related to lower-extremity weight bearing in modulating the efferent motor patterns of spinal-cord-injured (SCI) subjects during manually assisted stepping on a treadmill. Four nonambulatory subjects, each with a chronic thoracic spinal cord injury, and two nondisabled subjects were studied. The level of loading, EMG patterns, and kinematics of the lower limbs were studied during manually assisted or unassisted stepping on a treadmill with body weight support. The relationships among lumbosacral motor pool activity [soleus (SOL), medial gastrocnemius (MG), and tibialis anterior (TA)], limb load, muscle-tendon length, and velocity of muscle-tendon length change were examined. The EMG mean amplitude of the SOL, MG, and TA was directly related to the peak load per step on the lower limb during locomotion. The effects on the EMG amplitude were qualitatively similar in subjects with normal, partial, or no detectable supraspinal input. Responses were most consistent in the SOL and MG at load levels of <50% of a subject's body weight. The modulation of the EMG amplitude from the SOL and MG, both across steps and within a step, was more closely associated with limb peak load than muscle-tendon stretch or the velocity of muscle-tendon stretch. Thus stretch reflexes were not the sole source of the phasic EMG activity in flexors and extensors during manually assisted stepping in SCI subjects. The EMG amplitude within a step was highly dependent on the phase of the step cycle regardless of level of load. These data suggest that level of loading on the lower limbs provides cues that enable the human lumbosacral spinal cord to modulate efferent output in a manner that may facilitate the generation of stepping. These data provide a rationale for gait rehabilitation strategies that utilize the level of load-bearing stepping to enhance the locomotor capability of SCI subjects.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Harkema, S., Gerasimenko, Y., Hodes, J., Burdick, J., Angeli, C., Chen, Y., Ferreira, C., Willhite, A., Rejc, E., Grossman, R. G., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60547-3 · Cited by 1,229
Self-citationDynamic Sensorimotor Interactions in Locomotion
Rossignol, S., Dubuc, R., & Gossard, J.-P. (2006) · Physiological Reviews · doi:10.1152/physrev.00028.2005 · Cited by 1,096
Angeli, C. A., Edgerton, V. R., Gerasimenko, Y. P., & Harkema, S. J. (2014) · Brain · doi:10.1093/brain/awu038 · Cited by 750
Self-citationTransformation of nonfunctional spinal circuits into functional states after the loss of brain input
Courtine, G., Gerasimenko, Y., van den Brand, R., Yew, A., Musienko, P., Zhong, H., Song, B., Ao, Y., Ichiyama, R. M., Lavrov, I., et al. (2009) · Nature Neuroscience · doi:10.1038/nn.2401 · Cited by 706
Self-citationCurrent principles of motor control, with special reference to vertebrate locomotion
Grillner, S., & El Manira, A. (2020) · Physiological Reviews · doi:10.1152/physrev.00015.2019 · Cited by 560
Metadata
- Authors
- Harkema, S. J., Hurley, S. L., Patel, U. K., Requejo, P. S., Dobkin, B. H., & Edgerton, V. R.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 1997-02-01
- Volume
- 77
- Issue
- 2
- Pages
- 797-811
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W1872061170
- Cited by
- 606
- References
- 0
- FWCI
- 12.80
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human Lumbosacral Spinal Cord Interprets Loading During Stepping. https://app.cochat.ai/papers/10.1152/jn.1997.77.2.797
- The paper
- Harkema, S. J., Hurley, S. L., Patel, U. K., Requejo, P. S., Dobkin, B. H., & Edgerton, V. R. (1997). Human Lumbosacral Spinal Cord Interprets Loading During Stepping. Journal of Neurophysiology. https://doi.org/10.1152/jn.1997.77.2.797
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.