ArticleScientific reports2019
Neurophysiological markers predicting recovery of standing in humans with chronic motor complete spinal cord injury.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses 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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Spinal cord stimulation to manage autonomic dysfunction after spinal cord injury: a systematic review.Frontiers in human neuroscience · 2026Pooled it
- A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Functional outcomes and participants' perspectives during short-term application of spinal stimulation in individuals with spinal cord injury.The journal of spinal cord medicine · 2025Trial
- Activity-based recovery training with spinal cord epidural stimulation improves standing performance in cervical spinal cord injury.Journal of neuroengineering and rehabilitation · 2025Trial
- Spinal cord lesion characteristics and early standing ability with and without epidural stimulation.Experimental brain research · 2026Article
- Responsiveness to transcutaneous spinal stimulation for upper extremity recovery following spinal cord injury: A case series exploration of midsagittal tissue bridges.The journal of spinal cord medicine · 2025Article
- Applying a Virtual Art Therapy System Based on the Michelangelo Effect in Patients with Spinal Cord Injury.Sensors (Basel, Switzerland) · 2025Article
- Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review.Biomedical engineering letters · 2025Review
- Targeted Selection of Stimulation Parameters for Restoration of Motor and Autonomic Function in Individuals With Spinal Cord Injury.Neuromodulation : journal of the International Neuromodulation Society · 2024Article
- Robotic Postural Training With Epidural Stimulation for the Recovery of Upright Postural Control in Individuals With Motor Complete Spinal Cord Injury: A Pilot Study.Neurotrauma reports · 2024Article
- Current Applications of Machine Learning in Spine: From Clinical View.Global spine journal · 2022Review
- Novel Noninvasive Spinal Neuromodulation Strategy Facilitates Recovery of Stepping after Motor Complete Paraplegia.Journal of clinical medicine · 2022Article
- Spinal cord imaging markers and recovery of standing with epidural stimulation in individuals with clinically motor complete spinal cord injury.Experimental brain research · 2022Article
- Intra-Subject and Inter-Subject Movement Variability Quantified with Muscle Synergies in Upper-Limb Reaching Movements.Biomimetics (Basel, Switzerland) · 2021Article
- Recruitment order of motor neurons promoted by epidural stimulation in individuals with spinal cord injury.Journal of applied physiology (Bethesda, Md. : 1985) · 2021Article
- Spinal Cord Imaging Markers and Recovery of Volitional Leg Movement With Spinal Cord Epidural Stimulation in Individuals With Clinically Motor Complete Spinal Cord Injury.Frontiers in systems neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
The appropriate selection of individual-specific spinal cord epidural stimulation (scES) parameters is crucial to re-enable independent standing with self-assistance for balance in individuals with chronic, motor complete spinal cord injury, which is a key achievement toward the recovery of functional mobility. To date, there are no available algorithms that contribute to the selection of scES parameters for facilitating standing in this population. Here, we introduce a novel framework for EMG data processing that implements spectral analysis by continuous wavelet transform and machine learning methods for characterizing epidural stimulation-promoted EMG activity resulting in independent standing. Analysis of standing data collected from eleven motor complete research participants revealed that independent standing was promoted by EMG activity characterized by lower median frequency, lower variability of median frequency, lower variability of activation pattern, lower variability of instantaneous maximum power, and higher total power. Additionally, the high classification accuracy of assisted and independent standing allowed the development of a prediction algorithm that can provide feedback on the effectiveness of muscle-specific activation for standing promoted by the tested scES parameters. This framework can support researchers and clinicians during the process of selection of epidural stimulation parameters for standing motor rehabilitation.
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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.