Analysis of finger-tapping movement

Jobbágy, Ákos; Harcos, P.; Karoly, Robert; Fazekas, Gábor

doi:10.1016/j.jneumeth.2004.05.009

Cited by 113 publications

(77 citation statements)

References 16 publications

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“…The finger-tapping (FT) test has been used for almost a century to evaluate muscle control and motor ability in the upper extremities (1). This task is frequently used to quantitatively evaluate patients with Parkinson's disease (1), ataxia (2), Alzheimer's disease (3), and Korsakoff syndrome (4), as well as in individuals who have suffered an acute stroke (5).…”

Section: Introductionmentioning

confidence: 99%

Advanced analysis of finger-tapping performance: A preliminary study

Barut¹,

Kızıltan²,

Gelir³

et al. 2012

Balkan Med J

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The finger-tapping (FT) test has been used for almost a century to evaluate muscle control and motor ability in the upper extremities (1). This task is frequently used to quantitatively evaluate patients with Parkinson's disease (1), ataxia (2), Alzheimer's disease (3), and Korsakoff syndrome (4), as well as in individuals who have suffered an acute stroke (5). Moreover, the finger-tapping test is widely used to evaluate motor function in the upper limbs (6-8) and the relationship between hand preference and hand skill (9) in healthy individuals and to assess hand skill and coordination (10-12) for occupations in which the hands are essential. The finger-tapping test is also used for psychomotor evaluations (13)(14)(15)(16)(17)(18)(19)(20).The movement involved in single-finger tapping is complex and is affected by visual and auditory stimuli, emotional and physical health, and factors that impact the skeletal and nervous systems. The characterisation of finger-tapping by an average tapping interval or by a tapping rate can only provide a limited amount of information. However, constructing a mathematical function that has the best fit to a series of data points obtained for a complex movement possibly helps to understand the nature of the movement.Various techniques have been used to record the number of tappings in a certain test period and the average time passed between tappings (intertap-interval) in the fingertapping test, including a mechanical counter, an electronic switch, a telegraph key, and a computer keyboard associated with word processing software (7,8). However, the time resolution of these systems is either low or unpredictable. The ability of a system to determine only an average intertap-interval or a tapping speed for a complicated movement results in poor time resolution and carries no information on the time course of the movement. Previous studies on this topic have not considered the temporal changes that occur between consecutive tapping. Therefore, the present study evaluated the time course of average intertap-interval values and the patterns of variation in both the right and left hands of right-handed subjects using the TanTong Finger-Tap system (21,22 The finger-tapping test is a commonly employed quantitative assessment tool used to measure motor performance in the upper extremities. This task is a complex motion that is affected by external stimuli, mood and health status. The complexity of this task is difficult to explain with a single average intertap-interval value (time difference between successive tappings) which only provides general information and neglects the temporal effects of the aforementioned factors.

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Section: Introductionmentioning

confidence: 99%

Advanced analysis of finger-tapping performance: A preliminary study

Barut¹,

Kızıltan²,

Gelir³

et al. 2012

Balkan Med J

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“…Our results offer a promising new avenue to contribute to this goal. First, they suggest that general analyses of synchronization should not be restricted to measures of accuracy and variability only but should additionally be based on kinematic and dynamic (if available) data, e.g., Jobbágy et al (2005). Surprisingly, relatively few studies have quantified amplitude and velocity of rhythmic movements in patients with Parkinson's disease as a means to characterize bradykinesia and hypometria (Konczak et al 1997;Ling et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Balancing out dwelling and moving: optimal sensorimotor synchronization

Cos

Girard

Guigon

2015

Journal of Neurophysiology

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Cos I, Girard B, Guigon E. Balancing out dwelling and moving: optimal sensorimotor synchronization. J Neurophysiol 114: 146 -158, 2015. First published April 15, 2015 doi:10.1152/jn.00175.2015.-Sensorimotor synchronization is a fundamental skill involved in the performance of many artistic activities (e.g., music, dance). After a century of research, the manner in which the nervous system produces synchronized movements remains poorly understood. Typical rhythmic movements involve a motion and a motionless phase (dwell). The dwell phase represents a sizable fraction of the rhythm period, and scales with it. The rationale for this organization remains unexplained and is the object of this study. Twelve participants, four drummers (D) and eight nondrummers (ND), performed tapping movements paced at 0.5-2.5 Hz by a metronome. The participants organized their tapping behavior into dwell and movement phases according to two strategies: 1) Eight participants (1 D, 7 ND) maintained an almost constant ratio of movement time (MT) and dwell time (DT) irrespective of the metronome period. 2) Four participants increased the proportion of DT as the period increased. The temporal variabilities of both the dwell and movement phases were consistent with Weber's law, i.e., their variability increased with their durations, and the longest phase always exhibited the smallest variability. We developed an optimal statistical model that formalized the distribution of time into dwell and movement intervals as a function of their temporal variability. The model accurately predicted the participants' dwell and movement durations irrespective of their strategy and musical skill, strongly suggesting that the distribution of DT and MT results from an optimization process, dependent on each participant's skill to predict time during rest and movement. motor control; optimality; psychophysics; rhythmic movements; synchronization MANY BEHAVIORS such as singing or playing music require internal estimates of elapsed time from a past event or of remaining time to a future event (e.g., the beats of a metronome) to timely generate our actions (e.g., to tap on beat). This ability to produce movements synchronously with temporal events, called sensorimotor synchronization (Repp and Su 2013), either can occur spontaneously as during a synchronous applause at a concert hall or may result from long practice as in musical ensemble performance.Sensorimotor synchronization faces two constraints. First, processes involved in time production and perception tasks are governed by a form of Weber's law (Ivry and Hazeltine 1995;Merchant et al. 2008;Wing and Kristofferson 1973), i.e., variability increases with the duration of temporal intervals. Second, movements take time to be prepared and executed and are variable in space and time (Hancock and Newell 1985). How the brain actually predicts time between external events and produces synchronized motor behaviors remains poorly understood.Current theories of sensorimotor synchronization focus either on the prod...

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“…The position of the marker was registered in a 100×72 mm fi eld of view in the infrared range with the real-time passive mar ker-based analyser of movement-PAM 5 at a sampling rate of 50/s. Coordinates of the marker positions, evaluated from the images were recorded by a two-dimensional analyzer 8 .…”

Section: Methodsmentioning

confidence: 99%

Application of fingertip support technique in microsurgery

Csókay¹,

Pataki²,

Óvári³

et al. 2010

Biomech Hung

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ObjectiveThe physiological tremor which may extend up to 0.4-0.6 mm on the instrument tip in case of a well-skilled microsurgeon may cause diffi culties in any fi eld of microsurgery, in spite of using different armrests. The limit of correctness of medical robots is about 0.1 mm so far, but the application of these machines is expensive and not convenient for surgeons because the direct touch via microinstruments with living tissues is impossible. MethodThe effectiveness of the fi ngertip support technique has been proven by randomized analysis by exact measuring of the reduction of tremor. ResultsThe 0.1 mm precision could be reached by fi ngertip support. This extra precise work has not been available by hand so far. ConclusionThe signifi cant effect of fi ngertip support technique in neurosurgery has been certifi ed and published by exact measuring and clinical data.Our hypothesis could be the indication for trials in any microsurgical work.

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Analysis of finger-tapping movement

Cited by 113 publications

References 16 publications

Advanced analysis of finger-tapping performance: A preliminary study

Advanced analysis of finger-tapping performance: A preliminary study

Balancing out dwelling and moving: optimal sensorimotor synchronization

Application of fingertip support technique in microsurgery

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