Evidence map›Paper›PMID 40936302›Full record

ArticleThe Journal of physiology2025

Learning to stand with delays alters sensorimotor control but does not cause instability when returning to natural balance.

Liam H Foulger, Xiyao Liu, Amin M Nasrabadi, Calvin Z Qiao, Mark G Carpenter, Lyndia C Wu, Jean-Sébastien Blouin

Abstract read
In one paragraph

Article in The Journal of physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Liam H FoulgerSchool of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0009-0005-4269-3858
Xiyao LiuSchool of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.
Amin M NasrabadiSchool of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0009-0004-7221-9789
Calvin Z QiaoDepartment of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
Mark G CarpenterSchool of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-8611-2702
Lyndia C WuDepartment of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada.
Jean-Sébastien BlouinSchool of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0046-4051

Funding

Canadian Government | Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2020-05438
6 · The paper itself

Abstract

To maintain a bipedal posture, humans must compensate for inherent sensorimotor delays from neural conduction times and electromechanical delays. Ageing and certain neurological disorders increase these delays, so it is crucial that we adapt our control of balance to compensate for the uncertainty associated with acting on sensory information from the past. Although humans can adapt to imposed delays of 400 ms, the mechanisms underlying the adaptation process remain unknown because gross balance instability or errors are absent when returning to balancing without delays. To investigate this, we used a robotic balance simulator to impose delays of 250 ms while participants balanced upright. We characterized and modelled the adjustments in motor commands required to adapt to the addition and removal of delays. Following 20 min of adaptation, participants successfully maintained their balance with the imposed delay. When the delay was abruptly removed, participants remained upright with minimal changes in their whole-body oscillations, but we observed transient (5-20 s) spectral power increases between 1 and 2 Hz in the net ankle torque and lower limb muscle activity. Our computational model revealed that increased sensorimotor gains led to spectral changes in the balance motor commands. Our results indicate that increased sensorimotor gains are necessary to adapt balance control to longer delays and that these gains remained transiently elevated after the removal of the delays without resulting in postural instability. This highlights the remarkable adaptability of human balance control, revealing that the nervous system can flexibly adjust sensorimotor strategies to maintain balance under changing conditions. KEY POINTS: The human nervous system can adapt to sensorimotor delays, allowing us to maintain balance even though there are delays between sensed stimuli and our corrective motor actions. While balancing on a robotic simulator, participants exposed to a 250 ms delay between their self-generated motor commands and resulting whole-body motion exhibited initial difficulty maintaining balance and increased muscle (co)activation but adapted within minutes of exposure. Despite no postural instability following the abrupt removal of the 250 ms delay, participants exhibited transient (5-20 s) increases in leg muscle activation and ankle torque power (1-2 Hz). These changes in the neuromuscular control of balance after delay removal suggest increased sensitivity to sensory feedback, as supported by a computational model representing key physiological features of balance control. By revealing how the brain adapts when facing rapidly changing environments, our results highlight the flexibility of the neural control of balance to ensure robust bipedal stability.

Indexed as

LearningPostural BalanceAdaptation, PhysiologicalAdultFemaleHumansMaleMuscle, SkeletalYoung Adultbalance controlcomputational modelssensorimotor adaptationsensorimotor delays

Identifiers

PMID40936302
PMCPMC12487603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.