Evidence map›Paper›PMID 31105546›Full record

ArticleFrontiers in neuroinformatics2019

NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation.

Michael B Gerber, Alasdair C McLean, Samuel J Stephen, Alex G Chalco, Usman M Arshad, Gary W Thickbroom, Josh Silverstein, K Zoe Tsagaris, Amy Kuceyeski, Kathleen Friel and 2 more

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2019. 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. Review
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

12 authors.

Michael B GerberBiomedical Engineering Department, The City College of New York, New York, NY, United States.
Alasdair C McLeanBiomedical Engineering Department, The City College of New York, New York, NY, United States.
Samuel J StephenBiomedical Engineering Department, The City College of New York, New York, NY, United States.
Alex G ChalcoBiomedical Engineering Department, The City College of New York, New York, NY, United States.
Usman M ArshadBiomedical Engineering Department, The City College of New York, New York, NY, United States.
Gary W ThickbroomBurke Neurological Institute, White Plains, NY, United States.
Josh SilversteinBurke Neurological Institute, White Plains, NY, United States.
K Zoe TsagarisBurke Neurological Institute, White Plains, NY, United States.
Amy KuceyeskiDepartment of Radiology, Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States.
Kathleen FrielBrain Mind Research Institute, Weill Cornell Medicine, New York, NY, United States.
Taiza E G SantosDepartment of Neurosciences and Behavioral Sciences, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, São Paulo, Brazil.
Dylan J EdwardsMoss Rehabilitation Research Institute, Elkins Park, PA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent enhanced sophistication of non-invasive mapping of the human motor cortex using MRI-guided Transcranial Magnetic Stimulation (TMS) techniques, has not been matched by refinement of methods for generating maps from motor evoked potential (MEP) data, or in quantifying map features. This is despite continued interest in understanding cortical reorganization for natural adaptive processes such as skill learning, or in the case of motor recovery, such as after lesion affecting the corticospinal system. With the observation that TMS-MEP map calculation and quantification methods vary, and that no readily available commercial or free software exists, we sought to establish and make freely available a comprehensive software package that advances existing methods, and could be helpful to scientists and clinician-researchers. Therefore, we developed

aimThis paper aims to describe a software platform for quantifying and comparing maps of the human primary motor cortex, using neuronavigated transcranial magnetic stimulation, for the purpose of studying brain plasticity in health and disease.

Indexed as

brain mappingmotor cortexneuroimagingsoftware packagetranscranial magnetic stimulation

Identifiers

PMID31105546
PMCPMC6499165

What OpenQuestion holds

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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.