Evidence map›Paper›PMID 31712725›Full record

ArticleScientific reports2019

Multifactorial motor behavior assessment for real-time evaluation of emerging therapeutics to treat neurologic impairments.

Riazul Islam, Carlos A Cuellar, Ben Felmlee, Tori Riccelli, Jodi Silvernail, Suelen Lucio Boschen, Peter Grahn, Igor Lavrov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 3 institutions in 3 countries.

Riazul IslamDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Carlos A CuellarCentro de Investigación en Ciencias de la Salud (CICSA), Universidad Anáhuac México, Campus Norte, Huixquilucan, State of Mexico, Mexico.
Ben FelmleeDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Tori RiccelliMayo Medical School, Rochester, MN, USA.
Jodi SilvernailDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Suelen Lucio BoschenDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-7694-920X
Peter GrahnDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Igor LavrovDepartment of Neurology, Mayo Clinic, Rochester, MN, USA. igor.lavrov@gmail.com.
Mayo Clinic · USMayo Clinic in Arizona · USUniversidad Anáhuac · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating multiple assessment parameters of motor behavior is critical for understanding neural activity dynamics during motor control in both intact and dysfunctional nervous systems. Here, we described a novel approach (termed Multifactorial Behavioral Assessment (MfBA)) to integrate, in real-time, electrophysiological and biomechanical properties of rodent spinal sensorimotor network activity with behavioral aspects of motor task performance. Specifically, the MfBA simultaneously records limb kinematics, multi-directional forces and electrophysiological metrics, such as high-fidelity chronic intramuscular electromyography synchronized in time to spinal stimulation in order to characterize spinal cord functional motor evoked potentials (fMEPs). Additionally, we designed the MfBA to incorporate a body weight support system to allow bipedal and quadrupedal stepping on a treadmill and in an open field environment to assess function in rodent models of neurologic disorders that impact motor activity. This novel approach was validated using, a neurologically intact cohort, a cohort with unilateral Parkinsonian motor deficits due to midbrain lesioning, and a cohort with complete hind limb paralysis due to T8 spinal cord transection. In the SCI cohort, lumbosacral epidural electrical stimulation (EES) was applied, with and without administration of the serotonergic agonist Quipazine, to enable hind limb motor functions following paralysis. The results presented herein demonstrate the MfBA is capable of integrating multiple metrics of motor activity in order to characterize relationships between EES inputs that modulate mono- and polysynaptic outputs from spinal circuitry which in turn, can be used to elucidate underlying electrophysiologic mechanisms of motor behavior. These results also demonstrate that proposed MfBA is an effective tool to integrate biomechanical and electrophysiology metrics, synchronized to therapeutic inputs such as EES or pharmacology, during body weight supported treadmill or open field motor activities, to target a high range of variations in motor behavior as a result of neurological deficit at the different levels of CNS.

Indexed as

Motor ActivityAnimalsDisease ManagementDisease Models, AnimalElectric StimulationElectric Stimulation TherapyFemaleHumansLocomotionPhysical Conditioning, AnimalPsychomotor DisordersRatsSpinal Cord

Identifiers

PMID31712725
PMCPMC6848091
OpenAlexW2988713388

What OpenQuestion holds

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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.