Effect of movement frequency on repetitive finger movements in patients with Parkinson's disease

Stegemöller, Elizabeth L.; Simuni, Tatyana; MacKinnon, Colum D.

doi:10.1002/mds.22535

Cited by 57 publications

(73 citation statements)

References 28 publications

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“…There is evidence that medication itself may have a differential effect on movement rate and amplitude, as demonstrated by past research (Espay et al, 2009, 2010, 2011; Stegemöller et al, 2009; Teo et al, 2013, 2014). In the current study, we believed that medication did not play a major role influencing the outcomes for PD patients.…”

Section: Discussionmentioning

confidence: 69%

A 12-Week Cycling Training Regimen Improves Gait and Executive Functions Concomitantly in People with Parkinson’s Disease

Nadeau

Lungu

Duchesne

et al. 2017

Front. Hum. Neurosci.

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Background: There is increasing evidence that executive functions and attention are associated with gait and balance, and that this link is especially prominent in older individuals or those who are aﬄicted by neurodegenerative diseases that affect cognition and/or motor functions. People with Parkinson’s disease (PD) often present gait disturbances, which can be reduced when PD patients engage in different types of physical exercise (PE), such as walking on a treadmill. Similarly, PE has also been found to improve executive functions in this population. Yet, no exercise intervention investigated simultaneously gait and non-motor symptoms (executive functions, motor learning) in PD patients.Objective: To assess the impact of aerobic exercise training (AET) using a stationary bicycle on a set of gait parameters (walking speed, cadence, step length, step width, single and double support time, as well as variability of step length, step width and double support time) and executive functions (cognitive inhibition and flexibility) in sedentary PD patients and healthy controls.Methods: Two groups, 19 PD patients (Hoehn and Yahr ≤2) and 20 healthy adults, matched on age and sedentary level, followed a 3-month stationary bicycle AET regimen.Results: Aerobic capacity, as well as performance of motor learning and on cognitive inhibition, increased significantly in both groups after the training regimen, but only PD patients improved their walking speed and cadence (all p < 0.05; with no change in the step length). Moreover, in PD patients, training-related improvements in aerobic capacity correlated positively with improvements in walking speed (r = 0.461, p < 0.05).Conclusion: AET using stationary bicycle can independently improve gait and cognitive inhibition in sedentary PD patients. Given that increases in walking speed were obtained through increases in cadence, with no change in step length, our findings suggest that gait improvements are specific to the type of motor activity practiced during exercise (i.e., pedaling). In contrast, the improvements seen in cognitive inhibition were, most likely, not specific to the type of training and they could be due to indirect action mechanisms (i.e., improvement of cardiovascular capacity). These results are also relevant for the development of targeted AET interventions to improve functional autonomy in PD patients.

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Section: Discussionmentioning

confidence: 69%

A 12-Week Cycling Training Regimen Improves Gait and Executive Functions Concomitantly in People with Parkinson’s Disease

Nadeau

Lungu

Duchesne

et al. 2017

Front. Hum. Neurosci.

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“…When patients perform the task at high movement rates, the impairment is markedly worse than when it is performed at low rates. Quantitative studies have shown that deterioration of repetitive movement performance occurs when movement rate nears 2 Hz and above [18, 20, 28] and is characterized by a marked increase in movement rate, reduced movement amplitude, and increased variance in phase and inter-movement interval [6, 18, 20, 28]. These changes in performance are considered to reflect a disordered supraspinal drive to muscles due to dysfunction of the basal ganglia.…”

mentioning

confidence: 99%

Rate-dependent impairments in repetitive finger movements in patients with Parkinson's disease are not due to peripheral fatigue

Stegemöller¹,

Allen²,

Simuni³

et al. 2010

Neuroscience Letters

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Performance of repetitive finger movements is an important clinical measure of disease severity in patients with Parkinson’s disease (PD) and is associated with a dramatic deterioration in performance at movement rates near 2 Hz and above. The mechanisms contributing to this rate-dependent movement impairment are poorly understood. Since clinical and experimental testing of these movements involve prolonged repetition of movement, a loss of force generating capacity due to peripheral fatigue may contribute to performance deterioration. This study examined the contribution of peripheral fatigue to the performance of unconstrained index finger flexion movements by measuring maximum voluntary contractions (MVC) immediately before and after repetitive finger movements in patients with PD (both off- and on-medication) and matched control subjects. Movement performance was quantified using finger kinematics, maximum force production, and electromyography (EMG). The principal finding was that peak force and EMG activity during the MVC did not significantly change from the pre- to post- movement task in patients with PD despite the marked deterioration in movement performance of repetitive finger movements. These findings show that the rate-dependent deterioration of repetitive finger movements in PD cannot be explained by a loss of force-generating capacity due to peripheral fatigue, and further suggest that mechanisms contributing to impaired isometric force production in PD are different from those that mediate impaired performance of high-rate repetitive movements.

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“…EEG were obtained from a series of finger tapping experiments using an acoustic pacing tone at a rate of 2 Hz from a non-impaired adult as part of a study examining the effects of movement frequency on movement performance and movement-related cortical oscillations in people with Parkinson’s disease (Stegemöller et al, 2009). Data were acquired with a Neuroscan SynAmps system, band-pass filtered (DC to 250 Hz), sampling rate 1000 Hz (subsequently downsampled to 250 Hz), and digitised with a 16-bit analogue-to-digital converter.…”

Section: Methodsmentioning

confidence: 99%

“…Most studies have examined movement-related oscillations in the context of single discrete movements, yet marked impairments are often seen during the performance of repetitive motor behaviours such as finger tapping and locomotion. It has recently shown that repetitive finger movements are severely impaired in people with Parkinson’s disease, but this impairment is movement frequency dependent (Stegemöller et al, 2009). In light of evidence that pharmacological and surgical treatments of movement disorders can have a differential effect on movement-related oscillations in the α-and β-bands (Brown and Marsden, 1999), there is considerable need for analysis methods that can resolve the movement-related oscillations simultaneously in both the frequency and time domains during repetitive motor behaviours.…”

Section: Introductionmentioning

confidence: 99%

Time–frequency analysis of movement-related spectral power in EEG during repetitive movements: A comparison of methods

Allen

MacKinnon

2010

Journal of Neuroscience Methods

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During dynamic voluntary movements, power in the α-and β-bands resulting from synchronized neuronal activity is modulated in a manner that is time-locked to movement onset. These signals can be readily recorded from the scalp surface using electroencephalography. Abnormalities in the magnitude and timing of these oscillations are present in a wide variety of movement disorders including Parkinson's disease and dystonia. Most studies have examined movement-related oscillations in the context of single discrete movements, yet marked impairments are often seen during the performance of repetitive movements. For this reason, there is considerable need for analysis methods that can resolve the modulation of these oscillations in both the frequency and time domains. Presently, there is little consensus on which is the most appropriate method for this purpose. In this paper, a comparison of commonly used time-frequency methods is presented for the analysis of movement-related power in the α-and β-bands during repetitive movements. The same principles hold, however, for any form of repetitive or rhythmic input-output processes in the brain. In particular, methods based on band-pass filtering, the short-time Fourier transform (STFT), continuous wavelet transform and reduced interference distributions are discussed. The relative merits and limitations in terms of spectral or temporal resolution of each method are shown with the use of simulated and experimental data. It is shown that the STFT provides the best compromise between spectral and temporal resolution and thus is the most appropriate approach for the analysis and interpretation of repetitive movement-related oscillations in health and disease. (250 words)

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Effect of movement frequency on repetitive finger movements in patients with Parkinson's disease

Cited by 57 publications

References 28 publications

A 12-Week Cycling Training Regimen Improves Gait and Executive Functions Concomitantly in People with Parkinson’s Disease

A 12-Week Cycling Training Regimen Improves Gait and Executive Functions Concomitantly in People with Parkinson’s Disease

Rate-dependent impairments in repetitive finger movements in patients with Parkinson's disease are not due to peripheral fatigue

Time–frequency analysis of movement-related spectral power in EEG during repetitive movements: A comparison of methods

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