Differential kinematic control and co-ordination among redundant joints during whole arm reaching movements
preprint
OA: closed
CC-BY-NC-ND-4.0
Abstract
Normative upper limb movements are produced by multiple redundant joints. While the reaching task is specified at the endpoint, such task objectives become implicit at the level of joints. A fundamental question is whether planning and control of joints is solely in the service of the endpoint or whether they also include joint trajectories. Using Spearman’s correlation and zero crossings, we found differential kinematic signatures of control between shoulder and elbow joints in contrast to the wrist joint. However, the extent of control among joints was substantially diminished compared to the endpoint. Further, when such control measures were compared to the subspaces of inter-trial joint exploration, we found that online control at proximal joints, such as the shoulder and elbow, were significantly associated in regulating the task space, while control at the wrist (distal) joint was associated in regulating joint redundancy in null space. These results suggest that null space is not entirely uncontrolled as per the uncontrolled manifold hypothesis but selectively controlled by some distal joints. Additionally, across different directions, either the shoulder or the elbow contributed dominantly towards the movement of the endpoint while the other joint was lagging and that this strategy reflected in our kinematic measures of online and trajectory control. Taken together, this study shows how the selective implementation of a leading joint in task space and a lagging joint in null space can enable the control of multi-jointed movements and attenuate the problem of joint redundancy. Significance Statement In this study, we addressed a fundamental question of how our central nervous system resolves the problem of joint redundancy, as to whether planning and control of joints are solely in the service of endpoint or whether they also include joint trajectories. We found significant kinematic control signatures among joints towards their respective average joint trajectories, especially during the early and middle phases of movement. Furthermore, each joint had a distinct task objective, the proximal shoulder or elbow joints controlled the task space and were responsible for driving the whole-arm movements, while the distal wrist joint regulated joint redundancy.
My notes (saved in your browser only)
Funding
- funders
- [{'doi': None, 'name': None, 'awards': ['BT/PR27952/INF/22/212/2018']}, {'doi': None, 'name': None, 'awards': ['CRG/2022/000553']}, {'doi': None, 'name': None, 'awards': ['PM/MHRD-18-16074.03']}]
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.
References (54)
- doi:10.1038/81497 via crossref
- doi:10.1097/jes.0b013e3181f45194 via crossref
- doi:10.1093/acprof:oso/9780195333169.001.0001 via crossref
- doi:10.1123/mcj.4.3.259 via crossref
- doi:10.1007/bf00236911 via crossref
- doi:10.1123/mcj.2.4.306 via crossref
- doi:10.1123/mcj.14.3.294 via crossref
- doi:10.1080/00222890009601360 via crossref
- doi:10.1097/00003677-200201000-00006 via crossref
- doi:10.1038/nn963 via crossref
- doi:10.1152/jn.00579.2009 via crossref
- doi:10.1371/journal.pone.0235813 via crossref
- doi:10.1007/s002210050457 via crossref
- doi:10.1007/s00221-005-2339-1 via crossref
- doi:10.1007/s00221-012-3335-x via crossref
- doi:10.1007/s00221-002-1144-3 via crossref
- doi:10.1007/bf00248547 via crossref
- doi:10.1007/s002210050669 via crossref
- doi:10.1037/0096-1523.31.6.1510 via crossref
- doi:10.1080/00222890309602141 via crossref
- doi:10.1007/s00221-011-2752-6 via crossref
- doi:10.1016/j.visres.2014.08.021 via crossref
- doi:10.3389/fncom.2017.00093 via crossref
- doi:10.1093/ckj/sfab085 via crossref
- doi:10.1523/jneurosci.1110-06.2007 via crossref
- doi:10.1523/jneurosci.0902-15.2015 via crossref
- doi:10.1016/0028-3932(71)90067-4 via crossref
- doi:10.1007/s002210000540 via crossref
- doi:10.1523/jneurosci.02-11-01527.1982 via crossref
- doi:10.1038/35093102 via crossref
- doi:10.1123/jab.2019-0010 via crossref
- doi:10.1128/jb.00697-18 via crossref
- doi:10.1111/2041-210x.14269 via crossref
- doi:10.1073/pnas.1613383113 via crossref
- doi:10.1038/29528 via crossref
- doi:10.1007/978-0-387-77064-2_16 via crossref
- doi:10.1098/rspb.1997.0139 via crossref
- doi:10.1016/s0960-9822(02)00836-9 via crossref
- doi:10.1007/s002210050738 via crossref
- doi:10.1371/journal.pone.0180803 via crossref
- doi:10.1113/jphysiol.1990.sp018247 via crossref
- doi:10.1152/jn.1977.40.1.1 via crossref
- doi:10.1093/brain/awr168 via crossref
- doi:10.1016/j.cophys.2021.03.003 via crossref
- doi:10.1007/s00221-023-06582-0 via crossref
- doi:10.1113/jp286961 via crossref
- doi:10.1016/0006-8993(79)91014-x via crossref
- doi:10.1152/jn.1963.26.5.807 via crossref
- doi:10.1093/acprof:oso/9780195395273.001.0001 via crossref
- doi:10.1016/j.humov.2017.08.009 via crossref
- doi:10.1016/0021-9290(85)90275-1 via crossref
- doi:10.1152/jn.1985.53.2.435 via crossref
- doi:10.1016/j.neulet.2007.05.051 via crossref
- doi:10.1016/j.neuroscience.2008.07.028 via crossref
Source provenance
- crossref
- last seen: 2026-06-15T06:17:47.916204+00:00
- europepmc
- last seen: 2026-05-20T01:45:00.602351+00:00
- unpaywall
- last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-NC-ND-4.0