SynthesisJournal of neuroengineering and rehabilitation2025
Somatosensory training: a systematic review and meta-analysis with methodological considerations and clinical insights.
Synthesis in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Effects of tDCS and tACS on operant tactile training: investigating individual differences in neuromodulation efficacy.Experimental brain research · 2026Article
- Sensorimotor Rehabilitation Using Viscoelastic Material for Upper Limb Recovery after Stroke: A Case Report.Clinical medicine insights. Case reports · 2026Article
- Repeated plantar electrical stimulation is associated with altered lower-limb somatosensory processing in older adults: evidence from somatosensory evoked potentials.Frontiers in aging neuroscience · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Somatosensory training, which involves repetitive somatosensory stimulation, has been employed to enhance somatosensory performance by modulating excitability in the primary somatosensory cortex. This process, known as perceptual learning, can benefit stroke patients with somatosensory deficits. However, its effectiveness in both healthy individuals and stroke patients has not been thoroughly investigated. This systematic review and meta-analysis aimed to evaluate the effectiveness of somatosensory training in these groups. However, no eligible data on stroke patients were identified, excluding them from the analysis. In healthy participants, somatosensory training improved performance in 61.2% datasets, but this effect was observed only at the stimulated site. Additionally, it increased early somatosensory-evoked potential amplitudes in 76.9% of datasets at the stimulated site, with no effect on the non-stimulated site. Despite these moderate improvements, the risk of bias assessment revealed methodological concerns including randomization process, proper control conditions, blinding information, and missing data. The meta-analysis focused on the impact of somatosensory training on tactile two-point discrimination (TPD) in various factors, including different age groups, stimulus durations, stimulus frequencies, and stimulus types. A marked reduction in TPD threshold was observed at the stimulated finger post-training compared to pre-training, though there was a noticeable heterogeneity across studies. In contrast, no significant changes occurred at the non-stimulated fingers, and the subgroup analysis found no specific factors influencing TPD improvements. Although somatosensory training benefits healthy individuals, the variability and methodological concerns highlight the need for further high-quality research to optimize its use in treating somatosensory deficits in stroke patients.
Indexed as
Identifiers
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.