A 12-Week Cycling Training Regimen Improves Upper Limb Functions in People With Parkinson’s Disease

Nadeau, Alexandra; Lungu, Ovidiu; Boré, Arnaud; Plamondon, Réjean; Duchesne, Catherine; Robillard, M; Bobeuf, Florian; Lafontaine, Anne‐Louise; Gheysen, Freja; Bherer, Louis; Doyon, Julien

doi:10.3389/fnhum.2018.00351

Cited by 15 publications

(28 citation statements)

References 67 publications

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“…Albeit the author did not assess the method performing a pilot comparison with unhealthy subjects, the conclusions in his work, namely, the strategy "could potentially work as a useful method and provide additional insights in clinical rehabilitation" [11], are in line with the outcomes of Nadeau et al [6] who, in the context of a 12-week aerobic exercise training, conducted a similar analysis. In particular, the authors used a kinematic model to extract several kinematic parameters (related to antagonist response and activation during the upper limb movement) even from a target-directed fast simple reaction time task carried out on both healthy and Parkinson's disease patients; the outcomes indicated the 12-week training helped improve the upper limb motor function of Parkinson's disease patients [6].…”

Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

“…The benefit of motor rehabilitation tasks proved to be particularly helpful in Parkinson's disease, since the physical training was demonstrated to be effective in improving both motor and non-motor Parkinson's symptoms [6]. Some studies specifically focused on discovering novel rehabilitation tasks to improve the upper limb function in Parkinson's disease patients [6][7][8][9][10][11]. However, in the case of upper limbs, it is worth highlighting that they are composed of many joints, which are the most flexible in the human body, thus bringing a high degree of freedom of movement.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Ponsiglione

Ricciardi

Amato

et al. 2022

Sensors

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The impact of neurodegenerative disorders is twofold; they affect both quality of life and healthcare expenditure. In the case of Parkinson’s disease, several strategies have been attempted to support the pharmacological treatment with rehabilitation protocols aimed at restoring motor function. In this scenario, the study of upper limb control mechanisms is particularly relevant due to the complexity of the joints involved in the movement of the arm. For these reasons, it is difficult to define proper indicators of the rehabilitation outcome. In this work, we propose a methodology to analyze and extract an ensemble of kinematic parameters from signals acquired during a complex upper limb reaching task. The methodology is tested in both healthy subjects and Parkinson’s disease patients (N = 12), and a statistical analysis is carried out to establish the value of the extracted kinematic features in distinguishing between the two groups under study. The parameters with the greatest number of significances across the submovements are duration, mean velocity, maximum velocity, maximum acceleration, and smoothness. Results allowed the identification of a subset of significant kinematic parameters that could serve as a proof-of-concept for a future definition of potential indicators of the rehabilitation outcome in Parkinson’s disease.

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Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Ponsiglione

Ricciardi

Amato

et al. 2022

Sensors

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“…Twenty four studies 5,[17][18][19][20][21][22]24,26,[28][29][30][31][32]44,47,[49][50][51][52][53][54]56,57 reported on adverse events, comprising pain in extremity, falls, dizziness, tiredness, and worsening of pre-existing injuries. 17,18,22,29 No serious adverse events were reported in any of the reviewed studies.…”

Section: Safetymentioning

confidence: 99%

Parkinson’s disease and intensive exercise therapy — An updated systematic review and meta‐analysis

Gamborg

Hvid

Dalgas

et al. 2022

Acta Neuro Scandinavica

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In 2015, Uhrbrand et al. published the first review on Parkinson´s disease (PD) and exercise entirely based on randomized controlled trials (RCT) applying strict exercise definitions. The present review aimed to update the PD literature by assessing the effects of different intensive exercise modalities: resistance training (RT), endurance training (ET), and other intensive exercise modalities (OITM). An updated systematic literature search identified 33 new RCTs. Qualitative and quantitative analyses were performed. A total of 18 RT, 14 ET, and 1 OITM studies were identified (adding to the 8 RT, 6 ET, and 4 OITM studies identified by Uhrbrand et al. in 2015). RT, ET, and OITM were feasible, safe, and did not worsen PD symptoms. Furthermore, RT, ET, and OITM may positively affect functional outcomes (e.g., balance) and depressive symptoms in PD but inconsistencies across these findings warrant cautious conclusions. Meta-analyses showed that RT had a positive impact on muscle strength (standardized mean difference (SMD) = 0.83 [95% CI;0.54, 1.12]), functional capacity (Timed Up and Go Test (TUG): SMD = −0.62 [−1.01, −0.24]), and quality of life (SMD = −0.41 [−0.72, −0.09]), while ET had a positive impact on cardiorespiratory fitness (SMD = 0.27 [0.07, 0.47]) and functional capacity (TUG: SMD = −0.21 [−0.46, 0.04], 6-Min Walk Test: SMD = 0.89 [0.17, 1.62]), and a potentially positive impact on "on-medication" UPDRS-III (SMD = −0.15 [−0.38, 0.09]) and "off-medication" UPDRS-III (SMD = −0.19 [−0.41, 0.04]). In conclusion, RT, ET, and OITM all represent safe, feasible, and beneficial adjunct rehabilitation strategies in PD, with particularly RT and ET showing solid effects.

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“…For these reasons, the Kinematic Theory was preferred to the Minimum-Jerk model for movement reconstruction. Moreover, the Kinematic Theory has been used in several pathologies for motor control studies, such as attention deficit hyperactivity disorder (Laniel et al, 2019), Parkinson's disease (Lebel et al, 2017(Lebel et al, , 2018aNadeau et al, 2018), stroke risk factors (O'Reilly and Plamondon, 2011), concussion (Faci et al, 2020b), and it requires a non-invasive, low cost and plug-in-play experimental set-up made up of a digitizing tablet connected to a laptop. Its most recent implementation is ergonomic and very easy to use (Faci et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma–Lognormal Model: A Proof of Concept

Laurent

Plamondon

Begon

2020

Front. Hum. Neurosci.

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Background: Clinical tests for detecting central and peripheral shoulder fatigue are limited. The discrimination of these two types of fatigue is necessary to better adapt recovery intervention. The Kinematic Theory of Rapid Human Movements describes the neuromotor impulse response using lognormal functions and has many applications in pathology detection. The ideal motor control is modeled and a change in the neuromuscular system is reflected in parameters extracted according to this theory. Objective: The objective of this study was to assess whether a shoulder neuromuscular fatigue could be detected through parameters describing the theory, if there is the possibility to discriminate central from peripheral fatigue, and which handwriting test gives the most relevant information on fatigue. Methods: Twenty healthy participants performed two sessions of fast stroke handwriting on a tablet, before and after a shoulder fatigue. The fatigue was in internal rotation for one session and in external rotation during the other session. The drawings consisted of simple strokes, triangles, horizontal, and vertical oscillations. Parameters of these strokes were extracted according to the Sigma-Lognormal model of the Kinematic Theory. The evolution of each participant was analyzed through a U-Mann-Whitney test for individual comparisons. A Hotelling's T 2-test and a U-Mann-Whitney test were also performed on all participants to assess the group evolution after fatigue. Moreover, a correlation among parameters was calculated through Spearman coefficients to assess intrinsic parameters properties of each handwriting test. Results: Central and peripheral parameters were statistically different before and after fatigue with a possibility to discriminate them. Participants had various responses to fatigue. However, when considering the group, parameters related to the motor program execution showed significant increase in the handwriting tests after shoulder fatigue. The test of simple strokes permits to know more specifically where the fatigue comes from, whereas the oscillations tests were the most sensitive to fatigue.

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A 12-Week Cycling Training Regimen Improves Upper Limb Functions in People With Parkinson’s Disease

Cited by 15 publications

References 67 publications

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Statistical Analysis and Kinematic Assessment of Upper Limb Reaching Task in Parkinson’s Disease

Parkinson’s disease and intensive exercise therapy — An updated systematic review and meta‐analysis

Central and Peripheral Shoulder Fatigue Pre-screening Using the Sigma–Lognormal Model: A Proof of Concept

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