Evidence map›Paper›PMID 35725741›Full record

ArticleScientific reports2022

Characteristics and stability of sensorimotor activity driven by isolated-muscle group activation in a human with tetraplegia.

Robert W Nickl, Manuel A Anaya, Tessy M Thomas, Matthew S Fifer, Daniel N Candrea, David P McMullen, Margaret C Thompson, Luke E Osborn, William S Anderson, Brock A Wester and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. 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
0.1field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

14 authors at 4 institutions in 1 country.

Robert W NicklDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Manuel A AnayaDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Tessy M ThomasDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Matthew S FiferResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Daniel N CandreaDepartment of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, USA.
David P McMullenNational Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Margaret C ThompsonResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Luke E OsbornResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
William S AndersonDepartment of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Brock A WesterResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Francesco V TenoreResearch and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory, Laurel, MD, USA.
Nathan E CroneDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Gabriela L CantareroDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Pablo A CelnikDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD, USA. pcelnik@jhmi.edu.
Johns Hopkins Medicine · USJohns Hopkins University Applied Physics Laboratory · USJohns Hopkins University · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the cortical representations of movements and their stability can shed light on improved brain-machine interface (BMI) approaches to decode these representations without frequent recalibration. Here, we characterize the spatial organization (somatotopy) and stability of the bilateral sensorimotor map of forearm muscles in an incomplete-high spinal-cord injury study participant implanted bilaterally in the primary motor and sensory cortices with Utah microelectrode arrays (MEAs). We built representation maps by recording bilateral multiunit activity (MUA) and surface electromyography (EMG) as the participant executed voluntary contractions of the extensor carpi radialis (ECR), and attempted motions in the flexor carpi radialis (FCR), which was paralytic. To assess stability, we repeatedly mapped and compared left- and right-wrist-extensor-related activity throughout several sessions, comparing somatotopy of active electrodes, as well as neural signals both at the within-electrode (multiunit) and cross-electrode (network) levels. Wrist motions showed significant activation in motor and sensory cortical electrodes. Within electrodes, firing strength stability diminished as the time increased between consecutive measurements (hours within a session, or days across sessions), with higher stability observed in sensory cortex than in motor, and in the contralateral hemisphere than in the ipsilateral. However, we observed no differences at network level, and no evidence of decoding instabilities for wrist EMG, either across timespans of hours or days, or across recording area. While map stability differs between brain area and hemisphere at multiunit/electrode level, these differences are nullified at ensemble level.

Indexed as

ForearmMuscle, SkeletalElectromyographyHumansMovementQuadriplegia

Identifiers

PMID35725741
PMCPMC9209428
OpenAlexW4283168224

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.