ArticleProceedings of the National Academy of Sciences of the United States of America2021
Neural interfacing architecture enables enhanced motor control and residual limb functionality postamputation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05247827 (The Effects of Targeted Phantom Motor Execution, Prosthetic Embodiment, and Surgical Closure on Phantom Limb Control, and Physical Function in People With Unilateral), which is not on this map. Cited by 9 papers.
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.
The Effects of Targeted Phantom Motor Execution, Prosthetic Embodiment, and Surgical Closure on Phantom Limb Control, and Physical Function in People With Unilateral (Single) Transtibial (Below-the-knee) Amputation
Who cites it
9 citing papers in PubMed.
- Human Implementation of Upper Extremity Amputation Incorporating Agonist-Antagonist Myoneural Interface Construction.Plastic and reconstructive surgery · 2026Article
- Assessment of pain and functional outcomes after lower limb amputation: a scoping review.BMJ open · 2026Article
- Using EMG Biofeedback to Restore Closed-Loop Neural Control on a Powered Prosthetic Ankle.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- Transforming the Anthropomorphic Passive Free-Flow Foot Prosthesis Into a Powered Foot Prosthesis With Intuitive Control and Sensation (Bionic FFF).Military medicine · 2024Article
- Resting state neurophysiology of agonist-antagonist myoneural interface in persons with transtibial amputation.Scientific reports · 2024Article
- Cortical Reorganization after Limb Loss: Bridging the Gap between Basic Science and Clinical Recovery.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Flexible intentions: An Active Inference theory.Frontiers in computational neuroscience · 2023Article
- Cognitive benefits of using non-invasive compared to implantable neural feedback.Scientific reports · 2022Article
- Agonist-antagonist muscle strain in the residual limb preserves motor control and perception after amputation.Communications medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Despite advancements in prosthetic technologies, patients with amputation today suffer great diminution in mobility and quality of life. We have developed a modified below-knee amputation (BKA) procedure that incorporates agonist-antagonist myoneural interfaces (AMIs), which surgically preserve and couple agonist-antagonist muscle pairs for the subtalar and ankle joints. AMIs are designed to restore physiological neuromuscular dynamics, enable bidirectional neural signaling, and offer greater neuroprosthetic controllability compared to traditional amputation techniques. In this prospective, nonrandomized, unmasked study design, 15 subjects with AMI below-knee amputation (AB) were matched with 7 subjects who underwent a traditional below-knee amputation (TB). AB subjects demonstrated significantly greater control of their residual limb musculature, production of more differentiable efferent control signals, and greater precision of movement compared to TB subjects (
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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.