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Related Experiment Videos

The finger-tapping test. A quantitative analysis.

I Shimoyama1, T Ninchoji, K Uemura

  • 1Department of Neurosurgery, Hamamatsu University School of Medicine, Japan.

Archives of Neurology
|June 1, 1990
PubMed
Summary

The finger-tapping test, analyzed quantitatively, reveals age, sex, and hand dominance influence normal tapping speed. This test effectively differentiates motor dysfunctions from healthy individuals.

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Area of Science:

  • Neurology
  • Motor Control Research
  • Quantitative Analysis in Medicine

Background:

  • The finger-tapping test is a common clinical assessment for motor function.
  • Quantitative analysis can provide objective measures of motor performance.
  • Understanding normative data is crucial for identifying neurological impairments.

Purpose of the Study:

  • To quantitatively analyze the finger-tapping test in healthy individuals and patients with motor dysfunctions.
  • To establish normative data for tapping frequency based on age, sex, and hand dominance.
  • To evaluate the efficacy of quantitative finger-tapping analysis in distinguishing neurological conditions.

Main Methods:

  • Quantitative analysis of finger-tapping tests using an 8-bit microcomputer and electrocardiographic apparatus.
  • Inclusion of 111 normal subjects, 17 patients with cerebellar diseases, 14 with parkinsonism, and 14 with hemiparesis.
  • Analysis of tapping frequency and time-sequential histograms of tapping intervals.

Main Results:

  • In normal subjects, tapping frequency decreased with age, was higher in men than women, and faster with the dominant finger.
  • Quantitative finger-tapping analysis could differentiate patients with motor dysfunctions (cerebellar, basal ganglia, cerebral origins) from normal subjects.
  • Time-sequential histograms of tapping intervals were essential for distinguishing the specific motor dysfunctions studied.

Conclusions:

  • Quantitative finger-tapping analysis provides objective and reliable data for motor function assessment.
  • Age, sex, and hand dominance are significant factors influencing normal finger-tapping performance.
  • This method shows promise for the early detection and differentiation of various neurological motor disorders.

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