Evidence map›Paper›PMID 37396760›Full record

ArticleFrontiers in neurology2023

A blended neurostimulation protocol to delineate cortico-muscular and spino-muscular dynamics following neuroplastic adaptation.

Filip Stefanovic, Julian A Martinez, Ghazala T Saleem, Sue Ann Sisto, Michael T Miller, Yaa A Achampong, Albert H Titus

Abstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Filip StefanovicDepartment of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States.
Julian A MartinezDepartment of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States.
Ghazala T SaleemDepartment of Rehabilitation Science, State University of New York at Buffalo, Buffalo, NY, United States.
Sue Ann SistoDepartment of Rehabilitation Science, State University of New York at Buffalo, Buffalo, NY, United States.
Michael T MillerUB Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States.
Yaa A AchampongUB Department of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States.
Albert H TitusDepartment of Biomedical Engineering, State University of New York at Buffalo, Buffalo, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper we propose a novel neurostimulation protocol that provides an intervention-based assessment to distinguish the contributions of different motor control networks in the cortico-spinal system. Specifically, we use a combination of non-invasive brain stimulation and neuromuscular stimulation to probe neuromuscular system behavior with targeted impulse-response system identification. In this protocol, we use an in-house developed human-machine interface (HMI) for an isotonic wrist movement task, where the user controls a cursor on-screen. During the task, we generate unique motor evoked potentials based on triggered cortical or spinal level perturbations. Externally applied brain-level perturbations are triggered through TMS to cause wrist flexion/extension during the volitional task. The resultant contraction output and related reflex responses are measured by the HMI. These movements also include neuromodulation in the excitability of the brain-muscle pathway via transcranial direct current stimulation. Colloquially, spinal-level perturbations are triggered through skin-surface neuromuscular stimulation of the wrist muscles. The resultant brain-muscle and spinal-muscle pathways perturbed by the TMS and NMES, respectively, demonstrate temporal and spatial differences as manifested through the human-machine interface. This then provides a template to measure the specific neural outcomes of the movement tasks, and in decoding differences in the contribution of cortical- (long-latency) and spinal-level (short-latency) motor control. This protocol is part of the development of a diagnostic tool that can be used to better understand how interaction between cortical and spinal motor centers changes with learning, or injury such as that experienced following stroke.

Indexed as

corticospinalmotor controlNMEStDCSTMS

Identifiers

PMID37396760
PMCPMC10311503

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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.