Finger-Tapping Test | ScienceGate

Abstract Objective: Selective motor inhibition is known to decline with age. The purpose of this study was to determine the frequency of failures at inhibitory control of adjacent finger movements while performing a repetitive finger tapping task in young, middle-aged and older adults. Potential education and sex effects were also evaluated. Methods: Kinematic recordings of adjacent finger movements were obtained on 107 healthy adults (ages 20–80) while they performed a modified version of the Halstead Finger Tapping Test (HTFF). Study participants were instructed to inhibit all finger movements while tapping with the index finger. Results: Inability to inhibit adjacent finger movements while performing the task was infrequent in young adults (2.9% of individuals between 20 and 39 years of age) but increased with age (23.3% between the ages of 40 and 59; 31.0% between ages 60 and 80). Females and males did not differ in their inability to inhibit adjacent finger movements, but individuals with a college education showed a lower frequency of failure to inhibit adjacent finger movements (10.3%) compared to those with a high school education (28.6%). These findings were statistically significant only for the dominant hand. Conclusion: Selective motor inhibition failures are most common in the dominant hand and occur primarily in older healthy adults while performing the modified version of the HFTT. Monitoring selective motor inhibition failures may have diagnostic significance.

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Modeling of Psychomotor Reactions of a Person Based on Modification of the Tapping Test

International Journal of Computing ◽

10.47839/ijc.20.2.2166 ◽

2021 ◽

pp. 190-200

Author(s):

Lesia Mochurad ◽

Yaroslav Hladun

Keyword(s):

Neural Network ◽

Machine Learning ◽

Time Series ◽

Real Data ◽

Finger Tapping ◽

Similar Distribution ◽

Model Learning ◽

Machine Learning Model ◽

Finger Tapping Test

The paper considers the method for analysis of a psychophysical state of a person on psychomotor indicators – finger tapping test. The app for mobile phone that generalizes the classic tapping test is developed for experiments. Developed tool allows collecting samples and analyzing them like individual experiments and like dataset as a whole. The data based on statistical methods and optimization of hyperparameters is investigated for anomalies, and an algorithm for reducing their number is developed. The machine learning model is used to predict different features of the dataset. These experiments demonstrate the data structure obtained using finger tapping test. As a result, we gained knowledge of how to conduct experiments for better generalization of the model in future. A method for removing anomalies is developed and it can be used in further research to increase an accuracy of the model. Developed model is a multilayer recurrent neural network that works well with the classification of time series. Error of model learning on a synthetic dataset is 1.5% and on a real data from similar distribution is 5%.

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Measuring motor speed through typing: a surrogate for the finger tapping test

Behavior Research Methods ◽

10.3758/s13428-011-0100-1 ◽

2011 ◽

Vol 43 (4) ◽

pp. 903-909 ◽

Cited By ~ 17

Author(s):

Daniel Austin ◽

Holly Jimison ◽

Tamara Hayes ◽

Nora Mattek ◽

Jeffrey Kaye ◽

...

Keyword(s):

Finger Tapping ◽

Motor Speed ◽

Finger Tapping Test

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Cognitive-motor interference in persons with multiple sclerosis during five upper limb motor tasks with different complexity

Multiple Sclerosis Journal ◽

10.1177/1352458518808194 ◽

2018 ◽

Vol 25 (13) ◽

pp. 1736-1745 ◽

Cited By ~ 3

Author(s):

Joke Raats ◽

Ilse Lamers ◽

Ilse Baert ◽

Barbara Willekens ◽

Renee Veldkamp ◽

...

Keyword(s):

Multiple Sclerosis ◽

Upper Limb ◽

Test Group ◽

Word List ◽

Finger Tapping ◽

Motor Tasks ◽

Generation Task ◽

Bimanual Task ◽

Finger Tapping Test ◽

Block Test

Background: Cognitive-motor interference in multiple sclerosis has been well examined during walking, but not during upper limb (UL) performance. Objectives: To examine the dual-task cost (DTC) in persons with multiple sclerosis (pwMS) and healthy controls (HC) in various type and complexity of UL motor tasks. Method: In total, 30 pwMS without major UL impairment and 30 HC performed five different UL tasks, in single condition and combined with the phonemic word list generation task. The percent change in performances was evaluated by the motor, cognitive, and combined DTC. The motor tasks consisted of four unimanual (sustained hand grip strength, box-and-block test, Purdue pegboard test, finger tapping task) and one bimanual task (Purdue pegboard test). Group and task differences were analyzed with unpaired and paired t-tests, respectively, and overall effect with a multivariate analysis of variance. Results: The motor DTC ranged between 10% (Purdue pegboard bimanual) and 35% (box-and-block test). The cognitive DTC ranged between −8% (finger tapping test) and +21% (bimanual Purdue pegboard). The magnitude of the combined DTC did not differ significantly between pwMS and HC in any task. Conclusion: DTC is influenced by the complexity of the UL task, but was not significantly different between HC and cognitive intact, but mildly motor disabled pwMS.

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Mentally Challenged Children’s Performance Comparison to Evaluate their Motor Function of the Brain – By Applying Finger Tapping Sub-test Test of Neuropsychological Battery

International Journal of Indian Psychology ◽

10.25215/0404.149 ◽

2017 ◽

Vol 4 (4) ◽

Author(s):

Mr. Anjan N. Patel ◽

Dr. D.J Panchal

Keyword(s):

Mental Retardation ◽

Motor Function ◽

Performance Comparison ◽

Finger Tapping ◽

Neuropsychological Battery ◽

Left Hand ◽

Similar Performance ◽

Right Hand ◽

Significant Difference ◽

Finger Tapping Test

“Mentally challenged children’s performance comparison to evaluate their brain’s motor function – by applying finger tapping subtest test of neuropsychological battery” this is a research problem to know that mental retardation is affecting their motor co-ordination function on not”. Neuro-psychological assessment test battery which was developed by NIMHANS, Bangalore in the year of 2004 and its sub-test Finger tapping test was administered for research. By random sampling method, samples were collected from B.M Institute of Mental Health, Ahmedabad in the year of 2012. Based on Government Civil hospital’s IQ certificate 75 mild category of MR children of above and below graduate parents were taken for research with prior permission. Mental Retardation based on various diagnosis like; Down syndrome, microcephaly, hydrocephaly, trisomy-13, trisomy-18 or multiple disabilities are included. Flowingly, Children’s age group and gender are also kept different to compare their performance on finger tapping test. The results shows the “t” value of Neuropsychological functions of finger tapping test (Right hand) of mild children of different educational level of parents is 0.12. The mean scores of finger tapping test (Right hand) of mild children of above and below graduate parents were found 36.08 and 36.38 respectively with SD 8.50 and 12.56. The results indicate that significant difference does not exist between mild children of below and above graduate parents with regard to finger tapping test (Right hand). In the light of the hypothesis that there will be no significant difference between mild children of below and above graduate parents on finger tapping test (Right hand). It implies that mild children of below and above graduate parents have no significant difference of performance on finger tapping test (Right hand). Based on the result it depicts that mild children of below and above graduate parents’ children have similar performance on finger tapping test (Right hand). The results shows the “t” value of Neuropsychological functions of finger tapping test (Left hand) of mild children of educational level of parents is 0.55. The mean scores of finger tapping test (Left hand) of mild children of above graduate parents were found 34.49 and 35.92 respectively with SD 9.18 and 13.03. The results indicate that significant difference exist between mild children of below graduate parents and mild children of above graduate parents with regard to finger tapping test (Left hand). In the light of the hypothesis that there will be no significant difference between mild children of below and above graduate parents on finger tapping test (Left hand). It implies that mild children of below and above graduate parents have no significant difference on finger tapping test (left hand). Mild children of above and below graduate parent’s children have similar performance on finger tapping test (left hand). On the basis of result it is concluded that Mild MR category of above and below graduate parent’s children have similar performance on Finger tapping test in both Right and Left hand. It depicts that these children are fair in their motor function of motor speed and co-ordination. 75 children’s mental retardation does not affected on their brain’s motor function performance.

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Comparison of electronic finger tapping test to Reitan's Finger Tapping Test in an adult population

Archives of Clinical Neuropsychology ◽

10.1016/s0887-6177(98)90523-6 ◽

1998 ◽

Vol 13 (1) ◽

pp. 88

Author(s):

M Keane

Keyword(s):

Adult Population ◽

Finger Tapping ◽

Finger Tapping Test

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SENSITIVITY AND SPECIFICITY OF FINGER TAPPING TEST SCORES FOR THE DETECTION OF SUSPECT EFFORT

The Clinical Neuropsychologist ◽

10.1080/13854040490888567 ◽

2005 ◽

Vol 19 (1) ◽

pp. 105-120 ◽

Cited By ~ 110

Author(s):

Ginger Arnold ◽

Kyle Brauer Boone ◽

Po Lu ◽

Andy Dean ◽

Johnny Wen ◽

...

Keyword(s):

Sensitivity And Specificity ◽

Test Scores ◽

Finger Tapping ◽

Suspect Effort ◽

Finger Tapping Test

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Demographically-Corrected Norms for the Grooved Pegboard Test and Finger Tapping Test in monolingual Spanish speakers from the U.S.-Mexico Border Region

Archives of Clinical Neuropsychology ◽

10.1093/arclin/acz029.23 ◽

2019 ◽

Vol 34 (7) ◽

pp. 1256-1256

Author(s):

A Heaton ◽

A Gooding ◽

M Cherner ◽

A Umlauf ◽

D Franklin ◽

...

Keyword(s):

Spanish Speakers ◽

Border Region ◽

Finger Tapping ◽

Fine Motor ◽

Hispanic Population ◽

Spanish Speaking ◽

Motor Test ◽

Mexico Border ◽

Finger Tapping Test ◽

Grooved Pegboard Test

Abstract Objective We developed demographically-corrected norms for US-dwelling, Spanish-speaking Hispanics on two widely used tests of motor skills - the Grooved Pegboard Test (Pegs) and Finger Tapping Test (Tapping). We then examined the effects of applying established norms for non-Hispanic Caucasians (NH Whites) and non-Hispanic African Americans (NH Blacks) on motor test results from our Hispanic population. Participants and Method 254 participants living in the US-Mexico border region of San Diego, CA and Tucson, AZ completed Pegs, and a subset (n = 183) completed Tapping. Age ranged from 19-60 and education from 0-20 years, with 59% women. Raw test scores were converted to demographically-corrected T-scores with a fractional polynomial procedure and compared to a fitted curve for the original data. Results Findings included significant main effects of education on both tests (p < .001), and of age for Pegs (p < .001). There was a significant interaction of sex and age on Tapping, such that older age was associated with lower scores in men only (p = .02). The resulting normative T-scores were confirmed to be free from demographic influences. Using a T < 40 cut point, rates of impairment in the Spanish speaking normative sample for dominant (D) and nondominant (ND) hands, respectively, were 17% and 14% for Pegs, and 12% and 10% for Tapping. Applying existing norms for NH Whites and NH Blacks to the raw scores of Spanish speakers generally yielded lower impairment rates on all measures, with one exception, Pegs ND, for which NH White norms overestimated impairment (23%). Conclusions Normative standards from other groups are not a good fit for interpreting motor test performance in this Hispanic population, which in the current instance would have generally underdiagnosed fine motor impairment. These findings underscore the importance of appropriate, population-specific normative data- even for tests of motor ability.

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