ArticleNature communications2020
Unexpected complexity of everyday manual behaviors.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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.
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.
Who cites it
43 citing papers in PubMed, 76 citations in OpenAlex.
- Detecting Intervention-Specific Change in Soft Tissue Mobility Aligned with Regional Pain Through Optically Measured Skin Surface Strains.Annals of biomedical engineering · 2026Article
- Flexible reorientation of conserved neural dynamics underlies grasp control.bioRxiv : the preprint server for biology · 2026Article
- A Low-Cost, Accurate, and Easily-Worn E-Skin and IMU Hand Kinematic Measurement System.Sensors (Basel, Switzerland) · 2026Article
- A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026Article
- Loss of hand control expressiveness revealed by task- and individual-specificity in spatiotemporal finger coordination.bioRxiv : the preprint server for biology · 2026Article
- Evolution of object identity information in sensorimotor cortex throughout grasp.Nature communications · 2026Article
- Primate dexterous hand movements are controlled by functionally distinct premotoneuronal systems.Science advances · 2026Article
- Shared human-machine control of an intelligent bionic hand improves grasping and decreases cognitive burden for transradial amputees.Nature communications · 2025Article
- Universal scale-free representations in human visual cortex.PLoS computational biology · 2025Article
- EEG-based brain-computer interface enables real-time robotic hand control at individual finger level.Nature communications · 2025Article
- Multiple object handling: exploring strategies for cumulative grasping and transport using a single hand.Experimental brain research · 2025Article
- Exploring synergistic patterns in bimanual distal limb movements through low dimensional representations.Scientific reports · 2025Article
- EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Analysis of High-Dimensional Coordination in Human Movement Using Variance Spectrum Scaling and Intrinsic Dimensionality.Entropy (Basel, Switzerland) · 2025Article
- Explaining human motor coordination via the synergy expansion hypothesis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Simultaneous and Proportional Myoelectric Control of Multiple Degrees of Freedom in Individuals With Chronic Hemiparesis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025Article
- Proportional myoelectric control of a virtual bionic arm in participants with hemiparesis, muscle spasticity, and impaired range of motion.Journal of neuroengineering and rehabilitation · 2024Article
- Ethnokinesiology: towards a neuromechanical understanding of cultural differences in movement.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Article
- The geometry of interpersonal synchrony in human dance.Current biology : CB · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
How does the brain control an effector as complex and versatile as the hand? One possibility is that neural control is simplified by limiting the space of hand movements. Indeed, hand kinematics can be largely described within 8 to 10 dimensions. This oft replicated finding has been construed as evidence that hand postures are confined to this subspace. A prediction from this hypothesis is that dimensions outside of this subspace reflect noise. To address this question, we track the hand of human participants as they perform two tasks-grasping and signing in American Sign Language. We apply multiple dimension reduction techniques and replicate the finding that most postural variance falls within a reduced subspace. However, we show that dimensions outside of this subspace are highly structured and task dependent, suggesting they too are under volitional control. We propose that hand control occupies a higher dimensional space than previously considered.
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What OpenQuestion holds
Registered trials
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.