Literature DB >> 32396976

Is there evidence of bradykinesia in essential tremor?

M Bologna1,2, G Paparella2, D Colella1, A Cannavacciuolo1, L Angelini1, D Alunni-Fegatelli3, A Guerra2, A Berardelli1,2.   

Abstract

BACKGROUND AND
PURPOSE: Essential tremor (ET) is a movement disorder primarily characterized by upper limb postural and kinetic tremor. Although still under-investigated, bradykinesia may be part of the phenotypic spectrum of ET. The aim was to evaluate bradykinesia features in ET through clinical examination and kinematic analysis of repetitive finger movements. Data collected in ET patients were compared with those recorded in Parkinson's disease patients and healthy controls.
METHODS: Overall, 258 subjects participated in the study (90 ET patients, 84 Parkinson's disease patients and 84 healthy controls). Repetitive finger tapping was kinematically recorded using a motion analysis system. Movement velocity, amplitude and decrement (sequence effect) were measured. The three groups were first compared by one-way analysis of variance. A cluster analysis was also performed to better address the data variability observed in ET patients. Possible relationships between kinematic and clinical data were assessed in ET patients.
RESULTS: Essential tremor patients were slower than healthy controls. Movement slowness in ET did not correlate with postural or kinetic tremor severity. It was also found that movement slowness in ET was not associated with a sequence effect, which instead is a common feature in Parkinson's disease. Cluster analysis showed that a proportion of ET patients may have movement abnormalities similar to those observed in Parkinson's disease.
CONCLUSIONS: Movement slowness without sequence effect is a common feature in ET patients. The present findings are relevant when interpreted in the context of the new tremor classification system and in the development of a more accurate bradykinesia definition.
© 2020 European Academy of Neurology.

Entities:  

Keywords:  Parkinson’s disease; bradykinesia; essential tremor; finger tapping; kinematic analysis

Mesh:

Year:  2020        PMID: 32396976     DOI: 10.1111/ene.14312

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  7 in total

1.  Evaluation for Parkinsonian Bradykinesia by deep learning modeling of kinematic parameters.

Authors:  Dong Jun Park; Jun Woo Lee; Myung Jun Lee; Se Jin Ahn; Jiyoung Kim; Gyu Lee Kim; Young Jin Ra; Yu Na Cho; Weui Bong Jeong
Journal:  J Neural Transm (Vienna)       Date:  2021-01-28       Impact factor: 3.575

Review 2.  The Essential Tremors: Evolving Concepts of a Family of Diseases.

Authors:  Elan D Louis
Journal:  Front Neurol       Date:  2021-03-26       Impact factor: 4.003

3.  Computerised analysis of writing and drawing by essential tremor phenotype.

Authors:  James Peters; Mohammod Abdul Motin; Laura Perju-Dumbrava; Sheik Mohammed Ali; Catherine Ding; Michael Eller; Sanjay Raghav; Dinesh Kant Kumar; Peter Kempster
Journal:  BMJ Neurol Open       Date:  2021-12-16

4.  Wearable sensors during drawing tasks to measure the severity of essential tremor.

Authors:  Sheik Mohammed Ali; Sridhar Poosapadi Arjunan; James Peters; Laura Perju-Dumbrava; Catherine Ding; Michael Eller; Sanjay Raghav; Peter Kempster; Mohammod Abdul Motin; P J Radcliffe; Dinesh Kant Kumar
Journal:  Sci Rep       Date:  2022-03-28       Impact factor: 4.379

5.  Clinical Characteristics and Electrophysiological Biomarkers of Parkinson's Disease Developed From Essential Tremor.

Authors:  Xuemei Wang; Zhentang Cao; Genliang Liu; Zhu Liu; Ying Jiang; Huizi Ma; Zhan Wang; Yaqin Yang; Huimin Chen; Tao Feng
Journal:  Front Neurol       Date:  2020-10-29       Impact factor: 4.003

Review 6.  Bayesian Interpretation of Essential Tremor Plus.

Authors:  Rodger J Elble
Journal:  J Clin Neurol       Date:  2022-03       Impact factor: 3.077

7.  Clinical and Kinematic Features of Valproate-Induced Tremor and Differences with Essential Tremor.

Authors:  Giulia Paparella; Luca Angelini; Alessandro De Biase; Antonio Cannavacciuolo; Donato Colella; Carlo Di Bonaventura; Anna Teresa Giallonardo; Alfredo Berardelli; Matteo Bologna
Journal:  Cerebellum       Date:  2020-11-16       Impact factor: 3.847

  7 in total

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