ReviewFrontiers in systems neuroscience2019
Principles of Neurorehabilitation After Stroke Based on Motor Learning and Brain Plasticity Mechanisms.
Review in Frontiers in systems neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 242 papers, 15 of them syntheses that pooled it.
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.
Robot-Assisted Gait Therapy in the Subacute Phase of First Ischemic Stroke
Neuroscience-Based Aphasia Therapy Adapted to Remote, Mobile-Based Treatment
Effects of Backward vs Forward Gait Training With Auditory Feedback in Patients With Stroke
Integrating AI in Stroke Neurorehabilitation (AISN)
Who cites it
242 citing papers in PubMed, 15 syntheses or guidelines pooled it, 460 citations in OpenAlex.
- Effects of robot-assisted task-oriented training on upper limb function and activities of daily living in patients with stroke: A systematic review.The Journal of international medical research · 2026Pooled it
- Impact of enhanced external counterpulsation treatment on cerebral blood flow and functional outcomes in ischemic stroke patients: a systematic review and meta-analysis.QJM : monthly journal of the Association of Physicians · 2026Pooled it
- Neuroplasticity Mechanism of Stroke Rehabilitation Training System Based on Virtual Reality: A Review.Sensors (Basel, Switzerland) · 2026Pooled it
- Group rehabilitation for adults with acquired neurological disorders: A systematic review of mono- and interdisciplinary interventions in physical and speech-language therapy.PM & R : the journal of injury, function, and rehabilitation · 2026Pooled it
- Effects of EEG neurofeedback and training interventions on golf putting performance: a systematic review and meta-analysis.Frontiers in psychology · 2026Pooled it
- Can wearable real-time biofeedback gait training devices improve gait speed, balance, functional mobility and activities of daily living (ADL) in individuals post-stroke? A systematic review and meta-analysis of randomized controlled trials.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Upper limb robotic rehabilitation following stroke: a systematic review and meta-analysis investigating efficacy and the influence of device features and program parameters.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Poststroke eHealth Technologies-Based Rehabilitation for Upper Limb Recovery: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A systematic review of functional near-infrared spectroscopy-based task paradigms in stroke rehabilitation.Frontiers in human neuroscience · 2025Pooled it
- Effects of resistance exercise on patients with post-stroke dysphagia based on ACSM recommendations: a systematic review of randomized controlled trials.Frontiers in physiology · 2025Pooled it
- Effectiveness of dual-site transcranial magnetic stimulation on motor function and activities of daily living in stroke patients: a systematic review and meta-analysis of randomized controlled trials.Frontiers in neurology · 2025Pooled it
- Combination of different noninvasive brain stimulation treatments for upper limb recovery in stroke patients: A systematic review.Brain and behavior · 2024Pooled it
- A systematic review: enhancing stroke recovery through complementary interventions-Clinical outcomes and neural activity insights.Frontiers in neuroscience · 2024Pooled it
- Effect of mobile application types on stroke rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2023Pooled it
- Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2022Pooled it
- Comparison of Continuous and Gait-synchronized Transcutaneous Electrical Nerve Stimulation During Gait Training in Chronic Stroke: A Pilot Randomized Trial.Revista de neurologia · 2026Trial
- Immersive virtual reality with synchronous neurostimulation for upper-limb recovery after stroke: a randomized feasibility trial.Nature medicine · 2026Trial
- Effects of multi-sensory virtual reality training on gait adaptability and somatomotor network remodeling in patients with stroke: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Preventing slowing down of alpha rhythms in stroke patients through modulation of cortical excitatory-inhibitory balance: a randomized controlled trial.Journal of neuroengineering and rehabilitation · 2026Trial
- Comparison of multi-planar and sagittal-plane stepping machines for walking and balance restoration in chronic stroke: a randomized control trial (RCT).Scientific reports · 2026Trial
182 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
What are the principles underlying effective neurorehabilitation? The aim of neurorehabilitation is to exploit interventions based on human and animal studies about learning and adaptation, as well as to show that the activation of experience-dependent neuronal plasticity augments functional recovery after stroke. Instead of teaching compensatory strategies that do not reduce impairment but allow the patient to return home as soon as possible, functional recovery might be more sustainable as it ensures a long-term reduction in impairment and an improvement in quality of life. At the same time, neurorehabilitation permits the scientific community to collect valuable data, which allows inferring about the principles of brain organization. Hence neuroscience sheds light on the mechanisms of learning new functions or relearning lost ones. However, current rehabilitation methods lack the exact operationalization of evidence gained from skill learning literature, leading to an urgent need to bridge motor learning theory and present clinical work in order to identify a set of ingredients and practical applications that could guide future interventions. This work aims to unify the neuroscientific literature relevant to the recovery process and rehabilitation practice in order to provide a synthesis of the principles that constitute an effective neurorehabilitation approach. Previous attempts to achieve this goal either focused on a subset of principles or did not link clinical application to the principles of motor learning and recovery. We identified 15 principles of motor learning based on existing literature: massed practice, spaced practice, dosage, task-specific practice, goal-oriented practice, variable practice, increasing difficulty, multisensory stimulation, rhythmic cueing, explicit feedback/knowledge of results, implicit feedback/knowledge of performance, modulate effector selection, action observation/embodied practice, motor imagery, and social interaction. We comment on trials that successfully implemented these principles and report evidence from experiments with healthy individuals as well as clinical work.
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.