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RESEARCH PAPER
Motor assessment in Parkinson`s disease
1
Jerzy Kukuczka Academy of Physical Education in Katowice, Poland
Ann Agric Environ Med. 2017;24(3):411-415
KEYWORDS
ABSTRACT
Parkinson’s disease (PD) is one of most disabling disorders of the central nervous system. The motor symptoms of Parkinson’s disease: shaking, rigidity, slowness of movement, postural instability and difficulty with walking and gait, are difficult to measure. When disease symptoms become more pronounced, the patient experiences difficulties with hand function and walking, and is prone to falls. Baseline motor impairment and cognitive impairment are probable predictors of more rapid motor decline and disability. An additional difficulty is the variability of the symptoms caused by adverse effects of drugs, especially levodopa.
Motor assessment of Parkinson`s Disease can be divided into clinimetrics, assessment of balance and posture, arm and hand function, and gait/walking. These are many clinimetric scales used in Parkinson`s Disease, the most popular being the Hoehn and Yahr stages of progression of the disease and Unified Parkinson’s Disease Rating Scale. Balance and posture can be assessed by clinimetric scales like the Berg BS, Tinetti, Brunel BA, and Timed Up and Go Test, or measured by posturometric platforms. Among skill tests, the best known are: the Purdue Pegboard Test, Nine-Hole Peg Test, Jebsen and Taylor test, Pig- Tail Test, Frenchay Arm Test, Action Research Arm Test, Wolf FMT and Finger-Tapping Test. Among motricity scales, the most popular are: the Fugl-Meyer Motor Assessment Scale and Södring Motor Evaluation. Gait and walking can also be assessed quantitatively and qualitatively. Recently, the most popular is three-dimensional analysis of movement. This review article presents the current possibilities of motor assessment in Parkinson`s disease.
REFERENCES (42)
1.
Berardelli A, Dick JP, Rothwell JC, Day BL, Marsden CD. Scaling of the size of the first agonist EMG burst during rapid wrist movements in patients with Parkinson’s disease. J Neurol Neurosurg Psychiatry, 1986; 49(11): 1273–1279.
2.
Behrman AL, Light KE, Flynn SM, Thigpen MT. Is the functional reach test useful for identifying falls risk among individuals with Parkinson’s disease? Arch Physical Med Rehabil, 2002; 83(4): 538–542.
3.
Bladh S, Nilsson MH, Hariz GM, Westergren A, Hobart J, Hagellet P. Psychometric performance of a generic walking scale (Walk-12G) in multiple sclerosis and Parkinson’s disease. J Neurol, 2012; 259: 729–738.
4.
Bloem BR, Grimbergen YA, Cramer M, Willemsen M, Zwinderman AH. Prospective assessment of falls in Parkinson’s disease. J Neurol, 2001; 248(11): 950–958.
5.
Błaszczyk JW, Orawiec R. Assessment of postural control in patients with Parkinson’s disease: Sway ratio analysis. Human Movement Science, 2011; 30(2): 396–404.
6.
Elbers RG, van Wegen EEH, Verhoef J, Kwakkel G. Is gait speed a valid measure to predict community ambulation in patients with Parkinson’s disease? J Rehab Med, 2013, 45(4): 370–375.
7.
Fahn S, Elton RL; Members of the UPDRS Development Committee. Unified Parkinson’s Disease Rating Scale. in: Fahn S., Marsden CD, Calne D, Holstein N (eds.): Recent developments in Parkinson’s disease. Vol. 2. Macmillian Healthcare Information, Plorhan Park, NJ, 1987: 153–163.
8.
Fernandez-Del-Olmo M, Bello O, Lopez-Alonso V, Marquez G, Sanchez JA, Morenilla L, Valls-Solé J. The effects of startle and non-startle auditory stimuli on wrist flexion movement in Parkinson’s disease. Neurosci Lett, 2013; 548: 56–60.
9.
Foreman KB, Sondrup S, Dromey C, Jarvis E, Nissen S, Dibble LE. The effects of practice on the concurrent performance of a speech and postural task in persons with Parkinson disease and healthy controls. Parkinsons Dis, 2013; 2013: 987621. doi: 10.1155/2013/987621. Epub 2013 Jun 11.
10.
Franchignoni F, Horak F, Godi M, Nardone A, Giordano A. Using psychometric techniques to improve the balance evaluation systems test: the mini-bestest. J Rehabil Med, 2010; 42(4): 323–331.
11.
Gelb DJ, Oliver E, Gilman S. Diagnostic Criteria for Parkinson Disease. Arch Neurol 1999; 56(1): 33–39.
12.
Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, Dubois B, Holloway R, Jankovic J, Kulisevsky J, Lang AE, Lees A, Leurgans S, LeWitt PA, Nyenhuis D, Olanow CW, Rascol O, Schrag A, Teresi JA, van Hilten JJ, LaPelle N; Movement Disorder Society UPDRS Revision Task Force. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord, 2008; 23(15): 2129–2170.
13.
Hobart JC, Riazi A, Lamping DL, Fitzpatrick R, Thompson AJ. Measuring the impact of MS on walking ability: the 12-Item MS Walking Scale (MSWS-12). Neurology, 2003; 60(1): 31–36.
14.
Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurol., 1967; 17: 427–442.
15.
Horak FB, Wrisley DM, Frank J. The Balance Evaluation Systems Test (BESTest) to Differentiate Balance Deficits. Phys Ther, 2009; 89(5): 484–498.
16.
Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease. A clinico-pathological study of 100 cases. JNNP, 1992; 55: 181–184.
17.
King LA, Salarian A, Mancini M, Priest KC, Nutt J, Serdar A, Wilhelm J, Schlimgen J, Smith M, Horak FB. Exploring outcome measures for exercise intervention in people with Parkinson’s disease. Parkinsons Dis, 2013; 2013: 572134. doi: 10.1155/2013/572134. Epub 2013 Apr 30.
18.
Klucken J, Barth J, Kugler P, Schlachetzki J, Henze T, Marxreiter F, Kohl Z, Steidl R, Hornegger J, Eskofier B, Winkler J. Unbiased and mobile gait analysis detects motor impairment in Parkinson’s disease. PLoS One, 2013; 8(2): e56956. doi: 10.1371/journal.pone.0056956. Epub 2013 Feb 19.
19.
Lewek MD, Poole R, Johnson J, Halawa O, Huang X. Arm swing magnitude and asymmetry during gait in the early stages of Parkinson’s disease. Gait Posture, 2010; 31(2): 256–260.
20.
Marinus J, Visser M, Stiggelbout AM, Rabey JM, Martínez-Martín P, Bonuccelli U, Kraus PH, van Hilten JJ. A short scale for the assessment of motor impairments and disabilities in Parkinson’s disease: the SPES/SCOPA. J Neurol Neurosurg Psychiatry, 2004; 75: 388–395.
21.
Marras C, Rochon P, Lang AE. Predicting motor decline and disability in Parkinson disease: a systematic review. Arch Neurol, 2002; 59(11): 1724–1728.
22.
Martinez-Martin P, Visser M, Rodriguez-Blazquez C, Marinus J, Chaudhuri KR, van Hilten JJ; SCOPA-Propark Group; ELEP Group. SCOPA-sleep and PDSS: two scales for assessment of sleep disorder in Parkinson’s disease. Mov Disord, 2008; 23(12): 1681–1688.
23.
Marusiak J, Jaskólska A, Kisiel-Sajewicz K, Najwer W, Kisiel-Sajewicz K, Jaskólski A. EMG and MMG activities of agonist and antagonist muscles in Parkinson’s disease patients during absolute submaximal load holding. J Electromyography Kinesiology, 2009; 19: 903–914.
24.
Mirek E, Rudzińska M, Szczudlik A. Assessment of gait in patients with Parkinson’s disease using three-dimensional motion analysis system Vicon®. Neurol Neurochir Pol, 2007; 41(2): 128–133.
25.
Morris M, Iansek R, McGinley J, Matyas T, Huxham F. Three-dimensional gait biomechanics in Parkinson’s disease: Evidence for a centrally mediated amplitude regulation disorder. Mov Disord, 2005; 20(1): 40–50.
26.
Morris S, Morris ME, Iansek R. Reliability of measurements obtained with the Timed “Up & Go” test in people with Parkinson disease. Phys Ther, 2001; 81(2): 810–818.
27.
Opara J., Błaszczyk J., Dyszkiewicz A. Prevention of falls in Parkinson Disease. Medical Rehabil, 2005; 9(1): 31–34.
29.
Opara J. Clinimetrics in parkinsonism. Neurol Neurochir Pol, 1998; 6: 1497–1511 (in Polish).
30.
Podsiadło D, Richardson S. The timed “Up and Go” test. Arch Phys Med Rehabil, 1989; 67: 387–389.
31.
Rochester L, Hetherington V, Jones D, Nieuwboer A, Willems AM, Kwakkel G, Van Wegen E. Attending to the task: Interference effects of functional tasks on walking in Parkinson’s disease and the roles of cognition, depression, fatigue, and balance. Arch Phys Med Rehabil, 2004: 85(10): 1578–1585.
32.
Shimoyama I, Ninchoji T, Uemura K. The Finger-Tapping Test. A Quantitative Analysis. Arch Neurol, 1990; 47(6): 681–684.
33.
Siggeirsdóttir K, Jónsson BY, Jónsson H Jr, Iwarsson S. The timed ‘Up & Go’ is dependent on chair type. Clin Rehabil, 2002; 16(6): 609–616.
34.
Słomka K, Juras G, Sobota G, Bacik B. The reliability of a rambling-trembling analysis of center of pressure measures. Gait Posture, 2013; 37(2): 210–213.
35.
Song J, Sigward S, Fisher B, Salem GJ. Altered Dynamic Postural Control during Step Turning in Persons with Early-Stage Parkinson’s Disease. Hindawi Publishing Corp. Parkinson’s Disease, 2012; 2012: 1–8.
36.
Speciali DS, de Oliveira EM, dos Santos NM, Pereira FV, Fracini AC, Fukuda TY, Oliveira CS, Correa JC, Lucareli PR. Use of the Gait Deviation Index and spatiotemporal variables for the assessment of dual task interference paradigm. J Bodyw Mov Ther, 2013; 17(1): 19–27.
37.
Stamatakis J, Ambroise J, Crémers J, Sharei H, Delvaux V, Macq B, Garraux G. Finger tapping clinimetric score prediction in Parkinson’s disease using low-cost accelerometers. Comput Intell Neurosci, 2013; 2013: 717853. doi: 10.1155/2013/717853. Epub 2013 Apr 16.
38.
Stożek J, Rudzińska M, Longawa K, Szczudlik A. Effect of a comprehensive program rehabilitation on balance and gait in patients with Parkinson’s disease. Neurol Neurochir Pol, 2003; supl. 5: 67–81.
39.
Taylor Tavares AL, Jefferis GS, Koop M, Hill BC, Hastie T, Heit G, Bronte-Stewart HM. Quantitative Measurements of Alternating Finger Tapping in Parkinson’s Disease Correlate With UPDRS Motor Disability and Reveal the Improvement in Fine Motor Control From Medication and Deep Brain Stimulation. Mov Disord. 2005; 20(10): 1286–1298.
40.
Tinetti ME. Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatr Soc, 1986; 34: 119–126.
41.
van der Burg JC, van Wegen EE, Rietberg MB, Kwakkel G, van Dieën JH. et al. Postural control of the trunk during unstable sitting in Parkinson’s disease. Parkinsonism Relat Disord, 2006; 12(8): 492–498.
42.
Tomlinson CL, Herd CP, Clarke CE, Meek C, Patel S, Stowe R, Deane KHO, Shah L, Sackley CM, Wheatley K, Ives N. Physiotherapy for Parkinson’s disease: a comparison of techniques (Review). Cochrane Database Syst Rev, 2014; 6: CD002815.
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