Evidence map›Paper›PMID 34168544›Full record

ArticleFrontiers in human neuroscience2021

Analysis of Fine Motor Skills in Essential Tremor: Combining Neuroimaging and Handwriting Biomarkers for Early Management.

Karmele Lopez-de-Ipina, Jordi Solé-Casals, José Ignacio Sánchez-Méndez, Rafael Romero-Garcia, Elsa Fernandez, Catalina Requejo, Anujan Poologaindran, Marcos Faúndez-Zanuy, José Félix Martí-Massó, Alberto Bergareche and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  7. Interpol questioned documents review 2019-2022.Forensic science international. Synergy · 2023
    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

11 authors at 6 institutions in 2 countries.

Karmele Lopez-de-IpinaDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Jordi Solé-CasalsDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
José Ignacio Sánchez-MéndezEleKin Research Group, Department of System Engineering and Automation, University of the Basque Country UPV/EHU, Donostia-San Sebastian, Spain.
Rafael Romero-GarciaDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Elsa FernandezEleKin Research Group, Department of System Engineering and Automation, University of the Basque Country UPV/EHU, Donostia-San Sebastian, Spain.
Catalina RequejoCajal Institute, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
Anujan PoologaindranDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Marcos Faúndez-ZanuyTecnocampus, Universitat Pompeu Fabra, Mataro (Barcelona), Spain.
José Félix Martí-MassóNeurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain.
Alberto BergarecheNeurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastian, Spain.
John SucklingDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBBiogipuzkoa Health Research Institute · ESUniversity of the Basque Country · ESInstituto Cajal · ESPompeu Fabra University · ESThe Alan Turing Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Essential tremor (ET) is a highly prevalent neurological disorder characterized by action-induced tremors involving the hand, voice, head, and/or face. Importantly, hand tremor is present in nearly all forms of ET, resulting in impaired fine motor skills and diminished quality of life. To advance early diagnostic approaches for ET, automated handwriting tasks and magnetic resonance imaging (MRI) offer an opportunity to develop early essential clinical biomarkers. In this study, we present a novel approach for the early clinical diagnosis and monitoring of ET based on integrating handwriting and neuroimaging analysis. We demonstrate how the analysis of fine motor skills, as measured by an automated Archimedes' spiral task, is correlated with neuroimaging biomarkers for ET. Together, we present a novel modeling approach that can serve as a complementary and promising support tool for the clinical diagnosis of ET and a large range of tremors.

Indexed as

early managementessential tremorfine motor skillshandwritingneuroimaging

Identifiers

PMID34168544
PMCPMC8219239
OpenAlexW3172248749

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.