ArticleBrain sciences2023
Profiling Somatosensory Impairment after Stroke: Characterizing Common "Fingerprints" of Impairment Using Unsupervised Machine Learning-Based Cluster Analysis of Quantitative Measures of the Upper Limb.
Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
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Who cites it
4 citing papers in PubMed.
- The impact of bimanual reach training with augmented position sense feedback on post-stroke upper limb somatosensory and motor impairment.Journal of neuroengineering and rehabilitation · 2025Trial
- Impact of Shoulder Pain on Upper Limb Function: An Observational Study in Post-Stroke Individuals.Brain & NeuroRehabilitation · 2026Article
- Modalities Differentiation of Pain Perception Following Ischemic Stroke: Decreased Pressure Pain Perception.Biomedicines · 2025Article
- A Novel Wrist Device for Characterizing the Components of Proprioceptive Acuity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Altered somatosensory function is common among stroke survivors, yet is often poorly characterized. Methods of profiling somatosensation that illustrate the variability in impairment within and across different modalities remain limited. We aimed to characterize post-stroke somatosensation profiles ("fingerprints") of the upper limb using an unsupervised machine learning cluster analysis to capture hidden relationships between measures of touch, proprioception, and haptic object recognition. Raw data were pooled from six studies where multiple quantitative measures of upper limb somatosensation were collected from stroke survivors (
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Registered trials
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