Evidence map›Paper›PMID 36554060›Full record

ArticleHealthcare (Basel, Switzerland)2022

Identification and Characterization of Short-Term Motor Patterns in Rest Tremor of Individuals with Parkinson's Disease.

Amanda Rabelo, João Paulo Folador, Ariana Moura Cabral, Viviane Lima, Ana Paula Arantes, Luciane Sande, Marcus Fraga Vieira, Rodrigo Maximiano Antunes de Almeida, Adriano de Oliveira Andrade

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 5 institutions in 2 countries.

Amanda RabeloCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.ORCID 0000-0002-2620-1404
João Paulo FoladorCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.ORCID 0000-0001-7766-5930
Ariana Moura CabralCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.ORCID 0000-0002-9804-353X
Viviane LimaCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.
Ana Paula ArantesNeuroscience Department, Hotchkiss Brain Institute, University of Calgary, Calgary, AB T2N 1N4, Canada.ORCID 0000-0002-8906-673X
Luciane SandeNeuroscience and Motor Control Labotaroty (Neurocom), Federal University of Triagulo Mineiro (UFTM), Uberaba 38025-350, Brazil.
Marcus Fraga VieiraBioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiânia 74690-900, Brazil.ORCID 0000-0001-9096-1603
Rodrigo Maximiano Antunes de AlmeidaSystems Engineering and Information Technology Institute, Federal University of Itajubá, Itajubá 37500-903, Brazil.ORCID 0000-0002-2663-5464
Adriano de Oliveira AndradeCentre for Innovation and Technology Assessment in Health (NIATS), Faculty of Electrical Engineering, Federal University of Uberlândia, Uberlândia 38400-902, Brazil.ORCID 0000-0002-5689-6606
Universidade Federal de Uberlândia · BRUniversidade Federal de Goiás · BRUniversidade Federal de Itajubá · BRUniversidade Federal do Triângulo Mineiro · BRUniversity of Calgary · CA

Funding

Coordination for the Improvement of Higher Education Personnel 88881.370894/2019-01Foundation for Research Support of the State of Minas Gerais 304533/2020-3Foundation for Research Support of the State of Minas Gerais 304818/2018-6National Council for Scientific and Technological Development 88887.159028/2017-00
6 · The paper itself

Abstract

(1) Background: The dynamics of hand tremors involve nonrandom and short-term motor patterns (STMPs). This study aimed to (i) identify STMPs in Parkinson’s disease (PD) and physiological resting tremor and (ii) characterize STMPs by amplitude, persistence, and regularity. (2) Methods: This study included healthy (N = 12, 60.1 ± 5.9 years old) and PD (N = 14, 65 ± 11.54 years old) participants. The signals were collected using a triaxial gyroscope on the dorsal side of the hand during a resting condition. Data were preprocessed and seven features were extracted from each 1 s window with 50% overlap. The STMPs were identified using the clustering technique k-means applied to the data in the two-dimensional space given by t-Distributed Stochastic Neighbor Embedding (t-SNE). The frequency, transition probability, and duration of the STMPs for each group were assessed. All STMP features were averaged across groups. (3) Results: Three STMPs were identified in tremor signals (p < 0.05). STMP 1 was prevalent in the healthy control (HC) subjects, STMP 2 in both groups, and STMP3 in PD. Only the coefficient of variation and complexity differed significantly between groups. (4) Conclusion: These results can help professionals characterize and evaluate tremor severity and treatment efficacy.

Indexed as

gyroscopeParkinson’s diseaserest tremorshort-term motor patterns (STMPs)

Identifiers

PMID36554060
PMCPMC9778910
OpenAlexW4311793627

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.