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Journal articles on the topic 'Motor fluctuations'

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Published: 4 June 2021
Last updated: 18 February 2022

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1

Factor, Stewart A. "Parkinson’s disease: Motor fluctuations." Current Treatment Options in Neurology 1, no. 1 (February 1999): 21–32. http://dx.doi.org/10.1007/s11940-999-0029-1.

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2

van Laar, T., and K. Bayulkem. "1.001 PD: Motor and non-motor fluctuations." Parkinsonism & Related Disorders 13 (January 2007): S29. http://dx.doi.org/10.1016/s1353-8020(08)70352-3.

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3

Kim, Aryun, Han-Joon Kim, Chae Won Shin, Ahro Kim, Yoon Kim, Mihee Jang, Yu Jin Jung, Woong-Woo Lee, Hyeyoung Park, and Beomseok Jeon. "Emergence of non-motor fluctuations with reference to motor fluctuations in Parkinson's disease." Parkinsonism & Related Disorders 54 (September 2018): 79–83. http://dx.doi.org/10.1016/j.parkreldis.2018.04.020.

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4

Kleiner, Galit, Hubert H. Fernandez, Kelvin L. Chou, Alfonso Fasano, Kevin R. Duque, Diana Hengartner, Albie Law, et al. "Non‐Motor Fluctuations in Parkinson's Disease: Validation of the Non‐Motor Fluctuation Assessment Questionnaire." Movement Disorders 36, no. 6 (February 15, 2021): 1392–400. http://dx.doi.org/10.1002/mds.28507.

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5

Dewey, Richard B. "Medical Management of Motor Fluctuations." Neurologic Clinics 26, no. 3 (August 2008): 15–27. http://dx.doi.org/10.1016/j.ncl.2008.05.006.

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6

Denny, Anto P., and Madhuri Behari. "Motor fluctuations in Parkinson’s disease." Journal of the Neurological Sciences 165, no. 1 (May 1999): 18–23. http://dx.doi.org/10.1016/s0022-510x(99)00052-0.

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7

Nutt, J. G., S. T. Gancher, and W. R. Woodward. "Motor fluctuations in parkinson's disease." Annals of Neurology 25, no. 6 (June 1989): 633. http://dx.doi.org/10.1002/ana.410250619.

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8

Fernandez, W., G. Stern, and A. J. Lees. "Hallucinations and parkinsonian Motor Fluctuations." Behavioural Neurology 5, no. 2 (1992): 83–86. http://dx.doi.org/10.1155/1992/970751.

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Thirty patients with Parkinson's disease experiencing hallucinations during long-term treatment were compared with 20 parkinsonian patients without hallucinations. No differences were found in the duration of disease, L-dopa treatment or disease severity between the two groups. The hallucinators however, were significantly older and more cognitively impaired. Visual hallucinations occurring only during “off periods of immobility” were relatively common and improved concurrently with parkinsonian disabilities after L-dopa. Although visual hallucinations were commonest auditory hallucinations occurred in one third of the hallucinators.
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9

Hinson, Vanessa K. "Parkinson’s Disease and Motor Fluctuations." Current Treatment Options in Neurology 12, no. 3 (March 30, 2010): 186–99. http://dx.doi.org/10.1007/s11940-010-0067-8.

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10

Kikuchi, Seiji. "Motor fluctuations in Parkinson's disease." Journal of Neurology 254, S5 (September 2007): 32–40. http://dx.doi.org/10.1007/s00415-007-5006-6.

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11

Gunal, Dilek Ince, Kerim Nurichalichi, Nese Tuncer, Nural Bekiroglu, and Sevinç Aktan. "The Clinical Profile of Nonmotor Fluctuations in Parkinson's Disease Patients." Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques 29, no. 1 (February 2002): 61–64. http://dx.doi.org/10.1017/s0317167100001736.

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Objective:Recently described nonmotor fluctuations may cause disability in Parkinson's disease patients. These fluctuations are generally grouped as sensory, autonomic and psychiatric. The clinical spectrum and frequency of these fluctuating symptoms are not well-described.Methods:We studied the relationship of nonmotor fluctuations with motor symptoms and determined the influence of age at disease onset, duration of disease, dosage and duration of levodopa treatment in the appearance of nonmotor fluctuations.Results:Statistical analysis showed a relationship of disease-related parameters with sensory and autonomic fluctuations but psychiatric fluctuations were only found to be associated with the duration of levodopa usage. The nonmotor fluctuations included in the study were observed during “on” periods as well as “off” periods.Conclusion:Nonmotor fluctuations had variable presentations. Moreover, their co-appearance with different types of motor fluctuations may be linked to the effect of other neurotransmitter systems acting synchronously with dopamine. Risk factors for sensory and autonomic fluctuations in patients with Parkinson's disease were early age of disease onset, longer duration and higher dose of levodopa use. Psychiatric fluctuations were only associated with higher doses of levodopa.
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12

Souza, Renata Guzzo, Vanderci Borges, Sonia Maria Cesar de Azevedo Silva, and Henrique Ballalai Ferraz. "Quality of life scale in parkinson's disease PDQ-39 - (Brazilian Portuguese version) to assess patients with and without levodopa motor fluctuation." Arquivos de Neuro-Psiquiatria 65, no. 3b (September 2007): 787–91. http://dx.doi.org/10.1590/s0004-282x2007000500010.

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Quality of life (QoL) is an important treatment outcome indicator in Parkinson's disease (PD). The aim of this study is to assess the usefulness of the Parkinson's disease questionnaire - PDQ-39 (Brazilian Portuguese Version) in measuring QoL of PD patients with or without motor fluctuations. Fifty-six PD patients with mean disease duration of 7.4 years were assessed and 41 of them (73.3%) had motor fluctuations. The PDQ-39 has eight dimensions ranging from 0 to 100; being the higher the score, the worse the QoL. Comparing groups with and without motor fluctuations showed that the dimensions mobility, activities of daily living (ADL), communication and bodily discomfort scored higher in the fluctuating group. There was a tendency to see that the higher the Hoehn and Yahr (HY) scale stages, the higher the PDQ-39 scores. Patients suffering from the disease for more than five years had worse PDQ-39 scores only in the items ADL and communication, when compared with those with the disease for < 5 years. The PDQ-39 is an instrument that detects decrease in QoL of PD patients and the presence of motor fluctuations predicts QoL reduction.
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13

Stocchi, Fabrizio. "Prevention and treatment of motor fluctuations." Parkinsonism & Related Disorders 9 (August 2003): 73–81. http://dx.doi.org/10.1016/s1353-8020(03)00021-x.

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14

Nissenbaum, H., N. P. Quinn, R. G. Brown, B. Toone, A. M. Gotham, and C. D. Marsden. "Mood swings associated with the ‘on—off’ phenomenon in Parkinson's disease." Psychological Medicine 17, no. 4 (November 1987): 899–904. http://dx.doi.org/10.1017/s0033291700000702.

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SynopsisMood swings accompanying the motor fluctuations of patients with Parkinson's disease on chronic levodopa treatment frequently occur, but are poorly recognized. Occasionally, their functional impact may be greater than that caused by the motor disability itself.In this study we have assessed the nature of, and relationship between, mood and motor fluctuations in nine Parkinsonian patients with ‘on—off’ motor swings. The results of an additional questionnaire survey confirm that ‘on–off’ mood swings occur in approximately two thirds of patients with Parkinson's disease experiencing motor fluctuations on dopaminergic treatment. Aetiological and therapeutic implications are discussed.
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15

&NA;. "Cabergoline smooths motor fluctuations in Parkinson??s." Inpharma Weekly &NA;, no. 944 (July 1994): 18. http://dx.doi.org/10.2165/00128413-199409440-00041.

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16

Nutt, John G. "Motor fluctuations and dyskinesia in Parkinson's disease." Parkinsonism & Related Disorders 8, no. 2 (October 2001): 101–8. http://dx.doi.org/10.1016/s1353-8020(01)00024-4.

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17

Devos, David, and Caroline Moreau. "Opicapone for motor fluctuations in Parkinson's disease." Lancet Neurology 15, no. 2 (February 2016): 127–28. http://dx.doi.org/10.1016/s1474-4422(15)00346-4.

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18

Schrag, Anette, and Niall Quinn. "Dyskinesias and motor fluctuations in Parkinson's disease." Brain 123, no. 11 (November 2000): 2297–305. http://dx.doi.org/10.1093/brain/123.11.2297.

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19

Anteneodo, C., and D. R. Chialvo. "Unraveling the fluctuations of animal motor activity." Chaos: An Interdisciplinary Journal of Nonlinear Science 19, no. 3 (September 2009): 033123. http://dx.doi.org/10.1063/1.3211189.

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20

Widnell, Katherine. "Pathophysiology of motor fluctuations in Parkinson's disease." Movement Disorders 20, S11 (2005): S17—S22. http://dx.doi.org/10.1002/mds.20459.

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21

Cantello, Roberto, Maria Gianelli, Roberto Mutani, Matthew Menza, and Jacob Sage. "Mood and motor fluctuations in Parkinson's disease." Movement Disorders 6, no. 2 (1991): 186–88. http://dx.doi.org/10.1002/mds.870060224.

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22

Chaná, Pedro, Alejandro de Marinis, and Nelson Barrientos. "Gabapentin and motor fluctuations in parkinson's disease." Movement Disorders 12, no. 4 (July 1997): 608. http://dx.doi.org/10.1002/mds.870120421.

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23

Stocchi, F., A. Bonamartini, L. Vacca, and S. Ruggieri. "Motor Fluctuations in Levodopa Treatment: Clinical Pharmacology." European Neurology 36, no. 1 (1996): 38–42. http://dx.doi.org/10.1159/000118882.

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24

Roller, William C. "Management of Motor Fluctuations in Parkinson’s Disease." European Neurology 36, no. 1 (1996): 43–48. http://dx.doi.org/10.1159/000118883.

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25

Levine, Ned, Karl E. Kim, and Lawrence H. Nitz. "Daily fluctuations in Honolulu motor vehicle accidents." Accident Analysis & Prevention 27, no. 6 (December 1995): 785–96. http://dx.doi.org/10.1016/0001-4575(95)00038-0.

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26

Riggs, Jack E. "Entacapone and motor fluctuations in Parkinson's disease." Annals of Neurology 44, no. 2 (August 1998): 292. http://dx.doi.org/10.1002/ana.410440227.

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27

Tsang, K. L., S. L. Ho, and S. K. Lo. "Estrogen improves motor disability in parkinsonian postmenopausal women with motor fluctuations." Neurology 54, no. 12 (June 27, 2000): 2292–98. http://dx.doi.org/10.1212/wnl.54.12.2292.

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28

Margolius, A., G. Kleiner, H. Fernandez, K. Chou, A. Fasano, K. Duque, D. Hengartner, et al. "Non-Motor Fluctuations in Parkinson's Disease (PD): Development and Validation of the Non-Motor Fluctuation Assessment Instrument (NoMoFA)." Parkinsonism & Related Disorders 79 (October 2020): e40-e41. http://dx.doi.org/10.1016/j.parkreldis.2020.06.165.

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29

Liu, Xin, and Li Zhong Xu. "Optimal Servo Design for the Dual-Stator Toroidal Motor." Applied Mechanics and Materials 427-429 (September 2013): 61–64. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.61.

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Dual-stator toroidal motor is a new type of motor. The basic structure and principle of the motor were introduced. The state equations of toroidal motor were presented, the response considering speed fluctuations of the motor was given as well. The objection function was given, and the optimal servo of the motor was designed. The control strategy was used to remove the speed fluctuations and realize desired speed tracking. The state feedback control scheme was obtained and the control signals were also presented. Small speed track errors were achieved and the speed fluctuations of the motor system were eliminated. The results justify the validity of the servo, and offer meaningful instruction for further research and practical application of the novel motor.
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30

Ren, Tao, Wen Tao Qu, and Wen Sun. "Dynamics Study of a Dynamic Balancing Linkage with Small Fluctuations in Load." Applied Mechanics and Materials 86 (August 2011): 176–79. http://dx.doi.org/10.4028/www.scientific.net/amm.86.176.

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The fluctuations of the net crank torque on crankshaft remain the main reasons of both higher motor input power and lower efficiency. The later results in high system energy cost. The paper presents a novel linkage model based on rocking-bar linkage. The linkage demonstrates a smaller fluctuation in net crank torque. Therefore the motor efficiency is improved and input power is reduced greatly. The new model enhances the system energy saving. By establishing the linkage dynamics models, analyses contrasting the effects of energy saving were performed under the actual load conditions.
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31

Hssayeni, Murtadha D., Joohi Jimenez-Shahed, and Behnaz Ghoraani. "Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson’s Disease Patients." Entropy 21, no. 2 (February 1, 2019): 137. http://dx.doi.org/10.3390/e21020137.

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The success of medication adjustment in Parkinson’s disease (PD) patients with motor fluctuation relies on the knowledge about their fluctuation severity. However, because of the temporal and spatial variability in motor fluctuations, a single clinical examination often fails to capture the spectrum of motor impairment experienced in routine daily life. In this study, we developed an algorithm to estimate the degree of motor fluctuation severity from two wearable sensors’ data during subjects’ free body movements. Specifically, we developed a new hybrid feature extraction method to represent the longitudinal changes of motor function from the sensor data. Next, we developed a classification model based on random forest to learn the changes in the patterns of the sensor data as the severity of the motor function changes. We evaluated our algorithm using data from 24 subjects with idiopathic PD as they performed a variety of daily routine activities. A leave-one-subject-out assessment of the algorithm resulted in 83.33% accuracy, indicating that our approach holds a great promise to passively detect degree of motor fluctuation severity from continuous monitoring of an individual’s free body movements. Such a sensor-based assessment system and algorithm combination could provide the objective and comprehensive information about the fluctuation severity that can be used by the treating physician to effectively adjust therapy for PD patients with troublesome motor fluctuation.
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32

Sun, Baihua, Tao Wang, Nianying Li, and Jin Qiao. "Analysis of Motor Complication and Relative Factors in a Cohort of Chinese Patients with Parkinson’s Disease." Parkinson's Disease 2020 (July 29, 2020): 1–7. http://dx.doi.org/10.1155/2020/8692509.

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Objective. Motor complications are common in Parkinson’s disease (PD). The reported occurrence of motor complications varies across regions and races. The aim of our study was to describe the development of dyskinesias and motor fluctuations among Chinese PD patients and the relative risk factors. Methods. In the current cross-sectional survey study, PD patients with motor fluctuations and dyskinesia were enrolled from March to November 2018 in Shaanxi province, a northwest area of China. Data were collected by the movement disorder specialists. A self-designed questionnaire was utilized during face-to-face interviews. In addition, the relevant factors of motor complications were analyzed by univariable and multivariable analyses. Results. Of the166 PD patients recruited, 52 (31.33%) and 25 (15.06%) patients had motor fluctuations and dyskinesia, respectively, which occurred in 6.76 ± 3.77 and 8.61 ± 4.46 years after the onset of motor symptoms and 5.37 ± 3.33 and 6.80 ± 3.43 years after the treatment of levodopa therapy, respectively. Patients with motor fluctuations and dyskinesias had longer disease duration, younger onset age, higher Hoehn–Yahr stages and UPDRS III scores, higher daily levodopa dosage and levodopa equivalent daily dose (LEDD), and longer duration of levodopa treatment (P<0.05). Bradykinesia-rigidity dominant patients had higher incidences of motor fluctuations (61.54% vs 38.46%) and dyskinesias (68.00% vs 32.00%) than tremor-dominant patients (P<0.05). Results of the multivariate logistic regression analyses showed that the duration of levodopa therapy, age of the onset, and bradykinesia-rigidity dominant type were independent risk factors of motor fluctuations (P<0.05). In addition, duration of disease and bradykinesia-rigidity dominant type were independent risk factors of dyskinesia (P<0.05). Conclusions. The rate of motor fluctuations was higher than dyskinesias in Chinese patients with Parkinson’s disease. Patients with younger age onset, bradykinesia-rigidity dominant type, longer disease duration, and longer duration of levodopa therapy are more likely to develop motor complications.
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33

Rodríguez-Violante, Mayela, Natalia Ospina-García, Ned Merari Dávila-Avila, Diego Cruz-Fino, Alejandra de la Cruz-Landero, and Amin Cervantes-Arriaga. "Motor and non-motor wearing-off and its impact in the quality of life of patients with Parkinson's disease." Arquivos de Neuro-Psiquiatria 76, no. 8 (August 2018): 517–21. http://dx.doi.org/10.1590/0004-282x20180074.

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ABSTRACT The wearing-off phenomenon is common in patients with Parkinson's disease. Motor and non-motor symptoms can fluctuate in relation to the “on/off” periods. Objective: To assess the impact of motor and non-motor wearing-off on activities of daily living and quality of life of patients with PD. Methods: A cross-sectional study was carried out. All patients were evaluated using the Movement Disorders Society Unified Parkinson's Disease Rating Scale. Wearing-off was assessed using the Wearing-Off Questionnaire-19, and quality of life was assessed using the Parkinson's Disease Questionnaire-8. Results: A total of 271 patients were included; 73.4% had wearing-off; 46.8% had both motor and non-motor fluctuations. Patients with both motor and non-motor wearing-off had a worst quality of life compared with those with only motor fluctuations (p = 0.047). Conclusions: Motor and non-motor fluctuations have an impact on activities of daily living and quality of life. Non-motor wearing-off may have a higher impact.
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34

Boussac, Mathilde, Christophe Arbus, Julia Dupouy, Estelle Harroch, Vanessa Rousseau, Aurélie Croiset, Fabienne Ory-Magne, et al. "Personality dimensions of patients can change during the course of parkinson’s disease." PLOS ONE 16, no. 1 (January 7, 2021): e0245142. http://dx.doi.org/10.1371/journal.pone.0245142.

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Background Studies assessing personality dimensions by the “Temperament and Character Inventory” (TCI) have previously found an association between Parkinson’s disease (PD) and lower Novelty Seeking and higher Harm Avoidance scores. Here, we aimed to describe personality dimensions of PD patients with motor fluctuations and compare them to a normative population and other PD populations. Methods All PD patients awaiting Deep Brain Stimulation (DBS) answered the TCI before neurosurgery. Their results were compared to those of historical cohorts (a French normative population, a de novo PD population, and a PD population with motor fluctuations). Results Most personality dimensions of our 333 included PD patients with motor fluctuations who are candidates for DBS were different from those of the normative population and some were also different from those of the De Novo PD population, whereas they were similar to those of another population of PD patients with motor fluctuations. Conclusions During the course of PD, personality dimensions can change in parallel with the development of motor fluctuations, either due to the evolution of the disease and/or dopaminergic treatments.
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35

Storch, Alexander, Kristina Rosqvist, Georg Ebersbach, and Per Odin. "Disease stage dependency of motor and non-motor fluctuations in Parkinson’s disease." Journal of Neural Transmission 126, no. 7 (June 19, 2019): 841–51. http://dx.doi.org/10.1007/s00702-019-02033-9.

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36

Mottram, Carol J., Evangelos A. Christou, François G. Meyer, and Roger M. Enoka. "Frequency Modulation of Motor Unit Discharge Has Task-Dependent Effects on Fluctuations in Motor Output." Journal of Neurophysiology 94, no. 4 (October 2005): 2878–87. http://dx.doi.org/10.1152/jn.00390.2005.

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The rate of change in the fluctuations in motor output differs during the performance of fatiguing contractions that involve different types of loads. The purpose of this study was to examine the contribution of frequency modulation of motor unit discharge to the fluctuations in the motor output during sustained contractions with the force and position tasks. In separate tests with the upper arm vertical and the elbow flexed to 1.57 rad, the seated subjects maintained either a constant upward force at the wrist (force task) or a constant elbow angle (position task). The force and position tasks were performed in random order at a target force equal to 3.6 ± 2.1% (mean ± SD) of the maximal voluntary contraction (MVC) force above the recruitment threshold of an isolated motor unit from the biceps brachii. Each subject maintained the two tasks for an identical duration (161 ± 93 s) at a mean target force of 22.4 ± 13.6% MVC. As expected, the rate of increase in the fluctuations in motor output (force task: SD for detrended force; position task: SD for vertical acceleration) was greater for the position task than the force task ( P < 0.001). The amplitude of the coefficient of variation (CV) and the power spectra for motor unit discharge were similar between tasks ( P > 0.1) and did not change with time ( P > 0.1), and could not explain the different rates of increase in motor output fluctuations for the two tasks. Nonetheless, frequency modulation of motor unit discharge differed during the two tasks and predicted ( P < 0.001) both the CV for discharge rate (force task: 1–3, 12–13, and 14–15 Hz; position task: 0–1, and 1–2 Hz) and the fluctuations in motor output (force task: 5–6, 9–10, 12–13, and 14–15 Hz; position task: 6–7, 14–15, 17–19, 20–21, and 23–24 Hz). Frequency modulation of motor unit discharge rate differed for the force and position tasks and influenced the ability to sustain steady contractions.
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37

Mo, Youbin, Nicholas Keller, Damian delToro, Neeti Ananthaswamy, Stephen C. Harvey, Venigalla B. Rao, and Douglas E. Smith. "Function of a viral genome packaging motor from bacteriophage T4 is insensitive to DNA sequence." Nucleic Acids Research 48, no. 20 (October 29, 2020): 11602–14. http://dx.doi.org/10.1093/nar/gkaa875.

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Abstract Many viruses employ ATP-powered motors during assembly to translocate DNA into procapsid shells. Previous reports raise the question if motor function is modulated by substrate DNA sequence: (i) the phage T4 motor exhibits large translocation rate fluctuations and pauses and slips; (ii) evidence suggests that the phage phi29 motor contacts DNA bases during translocation; and (iii) one theoretical model, the ‘B-A scrunchworm’, predicts that ‘A-philic’ sequences that transition more easily to A-form would alter motor function. Here, we use single-molecule optical tweezers measurements to compare translocation of phage, plasmid, and synthetic A-philic, GC rich sequences by the T4 motor. We observed no significant differences in motor velocities, even with A-philic sequences predicted to show higher translocation rate at high applied force. We also observed no significant changes in motor pausing and only modest changes in slipping. To more generally test for sequence dependence, we conducted correlation analyses across pairs of packaging events. No significant correlations in packaging rate, pausing or slipping versus sequence position were detected across repeated measurements with several different DNA sequences. These studies suggest that viral genome packaging is insensitive to DNA sequence and fluctuations in packaging motor velocity, pausing and slipping are primarily stochastic temporal events.
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38

Kornatz, Kurt W., Evangelos A. Christou, and Roger M. Enoka. "Practice reduces motor unit discharge variability in a hand muscle and improves manual dexterity in old adults." Journal of Applied Physiology 98, no. 6 (June 2005): 2072–80. http://dx.doi.org/10.1152/japplphysiol.01149.2004.

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A steadiness-improving intervention was used to determine the contribution of variability in motor unit discharge rate to the fluctuations in index finger acceleration and manual dexterity in older adults. Ten healthy and sedentary old adults (age 72.9 ± 5.8 yr; 5 men) participated in the study involving abduction of the left index finger. Single motor unit activity was recorded in the first dorsal interosseus muscle before, after 2 wk of light-load training (10% maximal load), and after 4 wk of heavy-load training (70% maximal load). As expected, the light-load training was effective in reducing the fluctuations in index finger acceleration during slow shortening (0.25 ± 0.12 to 0.13 ± 0.08 m/s2) and lengthening contractions (0.29 ± 0.10 to 0.14 ± 0.06 m/s2). Along with the decline in the magnitude of the fluctuations, there was a parallel decrease in the coefficient of variation for discharge rate during both contraction types (33.8 ± 6.8 to 25.0 ± 5.9%). The heavy-load training did not further improve either the fluctuations in acceleration or discharge rate variability. Furthermore, the manual dexterity of the left hand improved significantly with training (Purdue pegboard test: 11 ± 3 to 14 ± 1 pegs). Bivariate correlations indicated that the reduction in fluctuations in motor output during shortening ( r2 = 0.24) and lengthening ( r2 = 0.14) contractions and improvement in manual dexterity ( r2 = 0.26) was directly associated with a decline in motor unit discharge rate variability. There was a strong association between the fluctuations in motor output and manual dexterity ( r2 = 0.56). These results indicate that practice of a simple finger task was accompanied by a reduction in the discharge rate variability of motor units, a decrease in the fluctuations in motor output of a hand muscle, and an improvement in the manual dexterity of older adults.
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39

GERRITSMA, E., and P. GASPARD. "CHEMOMECHANICAL COUPLING AND STOCHASTIC THERMODYNAMICS OF THE F1-ATPase MOLECULAR MOTOR WITH AN APPLIED EXTERNAL TORQUE." Biophysical Reviews and Letters 05, no. 04 (December 2010): 163–208. http://dx.doi.org/10.1142/s1793048010001214.

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The effects of external torque on the F 1-ATPase rotary molecular motor are studied from the viewpoint of recent advances in stochastic thermodynamics. This motor is modeled in terms of discrete-state and continuous-state stochastic processes. The dependence of the discrete-state description on external torque and friction is obtained by fitting its transition rates to a continuous-angle model based on Newtonian mechanics with Langevin fluctuating forces and reproducing experimental data on this motor. In this approach, the continuous-angle model is coarse-grained into discrete states separated by both mechanical and chemical transitions. The resulting discrete-state model allows us to identify the regime of tight chemomechanical coupling of the F 1 motor and to infer that its chemical and mechanical efficiencies may reach values close to the thermodynamically allowed maxima near the stalling torque. We also show that, under physiological conditions, the F 1 motor is functioning in a highly-nonlinear-response regime, providing a rotation rate a million times faster than would be possible in the linear-response regime of nonequilibrium thermodynamics. Furthermore, the counting statistics of fluctuations can be obtained in the tight-coupling regime thanks to the discrete-state stochastic process and we demonstrate that the so-called fluctuation theorem provides a useful method for measuring the thermodynamic forces driving the motor out of equilibrium.
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40

Gao, Chun Bin, and Xiu Min Yu. "The H∞-Based Control Strategy to Restrain the Interference to Battery." Advanced Materials Research 694-697 (May 2013): 2094–98. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.2094.

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The motor will affect stability and efficiency of battery when it power for motor. The fluctuations of load leads to fluctuations in the torque of the motor which will make the power of battery produce the corresponding fluctuations. Based on the analysis, establish the energy loss model of IPMSM. Based on H∞, finish the control strategy of the almost disturbance decoupling to vehicle power system. The analysis of actual data and the corresponding simulation results shows that the strategy can restrain specific interference that prove it is almost disturbance decoupling.
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41

Taryanyk, K. A. "Correction of non-motor vegetative fluctuations with parkinson’s disease based on levodopa treatment." NATIONAL JOURNAL OF NEUROLOGY, no. 6 (December 2, 2018): 18–22. http://dx.doi.org/10.28942/nnj.v2i6.99.

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The influence of dopamine receptor agonists in the transdermal and oral forms of drugs and amantadine for a non-motor autonomic fluctuations of patients with different duration of the disease during the treatment of Parkinson's in a stable dose of levodopa were established. It was analysed, that the use of dopamine receptor agonists in the transdermal and oral forms of drugs reduce the frequency and duration of vegetative non-motor fluctuations of patients with Parkinson's disease. The use of amantadine sulphate has little effect in a decrease of non-motor autonomic fluctuations.
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42

Das, Rahul Kumar, and Anatoly B. Kolomeisky. "Spatial Fluctuations Affect the Dynamics of Motor Proteins." Journal of Physical Chemistry B 112, no. 35 (September 4, 2008): 11112–21. http://dx.doi.org/10.1021/jp800982b.

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43

Bonomo, Roberta, Giovanni Mostile, Loredana Raciti, Donatella Contrafatto, Valeria Dibilio, Antonina Luca, Giorgia Sciacca, et al. "Quantitative estimation of motor fluctuations in Parkinson's disease." Parkinsonism & Related Disorders 42 (September 2017): 34–39. http://dx.doi.org/10.1016/j.parkreldis.2017.05.027.

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44

Obeso, JoseA, Francisco Grandas, Julia Vaamonde, M. Rosario Luquin, and J. Manuel Martínez-Lage. "APOMORPHINE INFUSION FOR MOTOR FLUCTUATIONS IN PARKINSON'S DISEASE." Lancet 329, no. 8546 (June 1987): 1376–77. http://dx.doi.org/10.1016/s0140-6736(87)90679-9.

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45

Shannon, K. M., C. G. Goetz, V. S. Carroll, C. M. Tanner, and H. L. Klawans. "Amantadine and Motor Fluctuations in Chronic Parkinsonʼs Disease." Clinical Neuropharmacology 10, no. 6 (December 1987): 522–26. http://dx.doi.org/10.1097/00002826-198712000-00003.

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46

Müller, Thomas, and Hermann Russ. "Levodopa, motor fluctuations and dyskinesia in Parkinson’s disease." Expert Opinion on Pharmacotherapy 7, no. 13 (August 23, 2006): 1715–30. http://dx.doi.org/10.1517/14656566.7.13.1715.

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47

Obeso, J. A., M. R. Luquin, F. Grandas, J. Vaamonde, J. M. �nez Marcht Lage, J. D. Meerwaldt, and G. J. Dejong. "Levodopa therapy and motor fluctuations in Parkinson's disease." Annals of Neurology 24, no. 5 (November 1988): 696–97. http://dx.doi.org/10.1002/ana.410240523.

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48

Kurlan, R. "Dietary Therapy for Motor Fluctuations in Parkinson's Disease." Archives of Neurology 44, no. 11 (November 1, 1987): 1119–21. http://dx.doi.org/10.1001/archneur.1987.00520230009005.

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49

Geminiani, Guiliano, Vincenza Fetoni, Silvia Genitrini, Paolo Giovannini, Filippo Tamma, and Tommaso Caraceni. "Cabergoline in Parkinson's disease complicated by motor fluctuations." Movement Disorders 11, no. 5 (September 1996): 495–500. http://dx.doi.org/10.1002/mds.870110504.

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50

Fernie, Bruce A., Marcantonio M. Spada, and Richard G. Brown. "Motor fluctuations and psychological distress in Parkinson’s disease." Health Psychology 38, no. 6 (June 2019): 518–26. http://dx.doi.org/10.1037/hea0000736.

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