ReviewNature communications2022
Principles of human movement augmentation and the challenges in making it a reality.
Review in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
What it found
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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
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neural correlates of phantom motor execution: A functional neuroimaging systematic review and meta-analysis.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Pooled it
- Mental tasks induce common modulations of oscillations in cortex and spinal cord.Journal of neuroengineering and rehabilitation · 2026Article
- Concurrent control of natural and robotic limbs through a tactile-encoded brain-computer interface.Nature communications · 2026Article
- Structured modulations in high-density EMG patterns from a single muscle enable simultaneous control of natural and extra degrees of freedom.Journal of neuroengineering and rehabilitation · 2026Article
- Article
- Movement speed of an autonomous prosthetic limb shapes embodiment, usability and robotic social attributes in virtual reality.Scientific reports · 2026Article
- Force-velocity coupling limits human adaptation in physical human-robot interaction.Scientific reports · 2026Article
- Peripheral neural interfaces for reading high-frequency brain signals.Nature biomedical engineering · 2025Review
- Shared Control of Supernumerary Robotic Limbs Using Mixed Realityand Mouth-and-Tongue Interfaces.Biosensors · 2025Article
- Electro-tactile modulation of muscle activation and intermuscular coordination in the human upper extremity.Scientific reports · 2025Article
- BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality.IEEE open journal of engineering in medicine and biology · 2025Article
- Error-related potentials during multitasking involving sensorimotor control: an ERP and offline decoding study for brain-computer interface.Frontiers in human neuroscience · 2025Article
- An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training.NPJ science of learning · 2024Article
- Article
- Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis.Scientific reports · 2024Article
- Control limitations in the null-space of the wrist muscle system.Scientific reports · 2024Article
- [The supernumerary robotic limbs of brain-computer interface based on asynchronous steady-state visual evoked potential].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Rewiring the evolution of the human hand: How the embodiment of a virtual bionic tool improves behavior.iScience · 2024Article
- Evaluating initial usability of a hand augmentation device across a large and diverse sample.Science robotics · 2024Article
- A Mouth and Tongue Interactive Device to Control Wearable Robotic Limbs in Tasks where Human Limbs Are Occupied.Biosensors · 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
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Augmenting the body with artificial limbs controlled concurrently to one's natural limbs has long appeared in science fiction, but recent technological and neuroscientific advances have begun to make this possible. By allowing individuals to achieve otherwise impossible actions, movement augmentation could revolutionize medical and industrial applications and profoundly change the way humans interact with the environment. Here, we construct a movement augmentation taxonomy through what is augmented and how it is achieved. With this framework, we analyze augmentation that extends the number of degrees-of-freedom, discuss critical features of effective augmentation such as physiological control signals, sensory feedback and learning as well as application scenarios, and propose a vision for the field.
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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.