Evidence map›Paper›PMID 37250689›Full record

ReviewFrontiers in human neuroscience2023

Exoskeleton gait training with spinal cord neuromodulation.

Yury Ivanenko, Elena Y Shapkova, Daria A Petrova, Daria F Kleeva, Mikhail A Lebedev

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

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  2. Review
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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

5 authors at 4 institutions in 2 countries.

Yury IvanenkoIRCCS Santa Lucia Foundation, Rome, Italy.
Elena Y ShapkovaSaint-Petersburg State Research Institute of Phthisiopulmonology, Saint Petersburg, Russia.
Daria A PetrovaVladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia.
Daria F KleevaVladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia.
Mikhail A LebedevFaculty of Mechanics and Mathematics, Lomonosov Moscow State University, Moscow, Russia.
Skolkovo Institute of Science and Technology · RUInstitute of Evolutionary Physiology and Biochemistry · RUIstituti di Ricovero e Cura a Carattere Scientifico · ITSaint-Petersburg Research Institute of Phthisiopulmonology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromodulating the locomotor network through spinal cord electrical stimulation (SCES) is effective for restoring function in individuals with gait deficits. However, SCES alone has limited effectiveness without concurrent locomotor function training that enhances activity-dependent plasticity of spinal neuronal networks by sensory feedback. This mini review discusses recent developments in using combined interventions, such as SCES added to exoskeleton gait training (EGT). To develop personalized therapies, it is crucial to assess the state of spinal circuitry through a physiologically relevant approach that identifies individual characteristics of spinal cord function to develop person-specific SCES and EGT. The existing literature suggests that combining SCES and EGT to activate the locomotor network can have a synergistic rehabilitative effect on restoring walking abilities, somatic sensation, and cardiovascular and bladder function in paralyzed individuals.

Indexed as

exoskeletongaitneuromodulation of spinal networksneurorehabilitationspinal cord injury

Identifiers

PMID37250689
PMCPMC10213721
OpenAlexW4376279174

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.