Evidence map›Paper›PMID 27080070›Full record

ReviewRestorative neurology and neuroscience2016

The sensory side of post-stroke motor rehabilitation.

Nadia Bolognini, Cristina Russo, Dylan J Edwards

4 registry-linked trialsAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Restorative neurology and neuroscience, 2016. 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 112 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
112citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT05766059 narecruitingnot on this mapstarted 2023, after this paper: background citation

Novel Non-invasive Brain Stimulation Techniques in Neurological Rehabilitation: Cross-modal Paired Associative Stimulation (PAS) Protocols to Promote Plastic Reorganization in Stroke and Phantom Limb Pain Patients

TypeinterventionalSponsorIstituto Auxologico ItalianoRan2023 to 2026Enrolled36ConditionsStroke, Hemiparesis, Phantom Limb PainArmsTranscranial Magnetic Stimulation
NCT06887231 narecruitingnot on this mapstarted 2025, after this paper: background citation

Virtual Reality (VR) Platform and Transcutaneous Electrical Nerve Stimulation (TENS) for Early Stroke Rehabilitation

TypeinterventionalSponsorMedical University of ViennaRan2025 to 2027Enrolled35ConditionsStrokeArmsVR+TENS, Conventional rehabilitation
NCT07150325 nacompletednot on this mapstarted 2024, after this paper: background citation

Integration of Force Control Training and Mirror Visual Feedback on Stroke Patients on Brain Activation and Hand Function

TypeinterventionalSponsorNational Cheng-Kung University HospitalRan2024 to 2025Enrolled5ConditionsStroke, Stroke PatientsArmsTIPr, Mirror Visual Feedback Device, Mirror Visual Feedback Device(Blocked mirror)
NCT07576465 narecruitingnot on this mapstarted 2026, after this paper: background citation

Effects of Synergy-based Motor Therapy Combined With Neuromuscular Electrical Stimulation in Post Stroke Patients

TypeinterventionalSponsorRiphah International UniversityRan2026 to 2026Enrolled40ConditionsStrokeArmsSynergy-based motor therapy, Neuromuscular electrical stimulation, Conventional therapy
3 · Its place in the literature

Who cites it

112 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  8. Effectiveness of kinesiology taping on the functions of upper limbs in patients with stroke: a meta-analysis of randomized trial.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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52 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nadia BologniniDepartment of Psychology and Milan Center for Neuroscience, University of Milano-Bicocca, Milano, Italy.
Cristina RussoDepartment of Psychology and Milan Center for Neuroscience, University of Milano-Bicocca, Milano, Italy.
Dylan J EdwardsBurke-Cornell Medical Research Institute, White Plains, New York, NY, USA.

Funding

Transcranial Direct Current Stimulation and Robotic Training in Chronic StrokeR01HD069776 · NICHD · WINIFRED MASTERSON BURKE MED RES INST · PI EDWARDS, DYLAN JAMES · 2012 to 2016
$3.2M
NICHD NIH HHS R01 HD069776
6 · The paper itself

Abstract

Contemporary strategies to promote motor recovery following stroke focus on repetitive voluntary movements. Although successful movement relies on efficient sensorimotor integration, functional outcomes often bias motor therapy toward motor-related impairments such as weakness, spasticity and synergies; sensory therapy and reintegration is implied, but seldom targeted. However, the planning and execution of voluntary movement requires that the brain extracts sensory information regarding body position and predicts future positions, by integrating a variety of sensory inputs with ongoing and planned motor activity. Neurological patients who have lost one or more of their senses may show profoundly affected motor functions, even if muscle strength remains unaffected. Following stroke, motor recovery can be dictated by the degree of sensory disruption. Consequently, a thorough account of sensory function might be both prognostic and prescriptive in neurorehabilitation. This review outlines the key sensory components of human voluntary movement, describes how sensory disruption can influence prognosis and expected outcomes in stroke patients, reports on current sensory-based approaches in post-stroke motor rehabilitation, and makes recommendations for optimizing rehabilitation programs based on sensory stimulation.

Indexed as

HumansMovement DisordersSensation DisordersStrokeStroke Rehabilitationmotor recoverymotor rehabilitationnon-invasive brain stimulationsensorimotor integrationsensory stimulationStroke

Identifiers

PMID27080070
PMCPMC5605470

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.