Quantitative Evaluation of Movement Disorders by Specified Analysis According to Actigraphy Records

Aim: To evaluate whether the specified analytical objective scale represents disease severity for neurological movement disorders according to the physical activity of the patients. Methods: Eighty-one patients with Parkinsonʹs disease (PD) and sixty-one patients with acute cerebral infarction (ACI) combined with upper limb motor function disorder at the Shuguang hospital, affiliated with the Shanghai TCM university. PD patients and ACI patients were treated according to the international medication guiding principle for PD or ACI respectively. We analysed the power-law exponent (PLE) and the detrended fluctuation analysis (DFA) of the actigraphy records, which were taken on 2 occasions (before drug administration for two groups, 24-38 days for PD patients and 28 days for ACI patients). Efficacy was evaluated by the Unified Parkinson Disease Rating Scale (UPDRS) for PD and by Fugl-Meyer Assessment (FMA) and the Functional Independence Measure (FIM) for ACI patients. We also evaluated the correlation between any changed rates of UPDRS scores and PLE for PD patients, and FMA and FIM scores and DFA for ACI patients. Results: The UPDRS scores and PLE values for PD, and the FMA and FIM scores with the DFA score for ACI were improved after the drug administration; they yielded a linear correlation coefficient of 0.699 and 0.823 between the improvement rates of the total UPDRS scores and the PLE values, and between the UPDRS Part III score and the PLE values, while it yielded a linear correlation coefficient of 0.638 and 0.712 between the improvement rates of the FMA scores and the DFA, and the FIM scores and the DFA respectively. There was no correlation between the UPDRS scores and the DFA values for the PD patients or between the FIM score or the FMA score and the PLE values for ACI patients. Conclusion: Actigraphy records and the analysis of its PLE or DFA might provide useful objective and specific information for controlling PD or ACI patients and for monitoring drug administration respectively.

[1]  Martin H. Teicher,et al.  Scale-Invariant Locomotor Activity Patterns in Children with SAD , 2013 .

[2]  Yoshiharu Yamamoto,et al.  Traditional Chinese Medicine Improves Activities of Daily Living in Parkinson's Disease , 2011, Parkinson's disease.

[3]  Yoshiharu Yamamoto,et al.  A compound belonging to traditional Chinese medicine improves nocturnal activity in Parkinson's disease. , 2011, Sleep medicine.

[4]  Y. Yamamoto,et al.  Improvement of motor functions by noisy vestibular stimulation in central neurodegenerative disorders , 2008, Journal of Neurology.

[5]  Zbigniew R Struzik,et al.  Universal scaling law in human behavioral organization. , 2007, Physical review letters.

[6]  Yoshiharu Yamamoto,et al.  Power‐law temporal autocorrelation of activity reflects severity of parkinsonism , 2007, Movement disorders : official journal of the Movement Disorder Society.

[7]  R. Voelker Parkinson disease guidelines aid diagnosis, management. , 2006, JAMA.

[8]  Z. Struzik,et al.  Noisy vestibular stimulation improves autonomic and motor responsiveness in central neurodegenerative disorders , 2005, Annals of neurology.

[9]  C. Comella,et al.  Nocturnal activity with nighttime pergolide in Parkinson disease: A controlled study using actigraphy , 2005, Neurology.

[10]  Junichiro Hayano,et al.  1/f scaling in heart rate requires antagonistic autonomic control. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11]  Kyoko Ohashi,et al.  Asymmetrical singularities in real-world signals. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Hannu Lauerma,et al.  Quantitative rest activity in ambulatory monitoring as a physiological marker of restless legs syndrome: A controlled study , 2003, Movement disorders : official journal of the Movement Disorder Society.

[13]  B. Goichot,et al.  Actigraphic assessment of the circadian rest–activity rhythm in elderly patients hospitalized in an acute care unit , 2003, Psychiatry and clinical neurosciences.

[14]  E. Young,et al.  Use of actigraphy for monitoring sleep and activity levels in patients with fibromyalgia and depression. , 2002, Journal of psychosomatic research.

[15]  W. Dudziński,et al.  The clinical use of Functional Independence Measure scale - OFC. , 2002, Ortopedia, traumatologia, rehabilitacja.

[16]  A. Verbeek,et al.  A criterion for stability of the motor function of the lower extremity in stroke patients using the Fugl-Meyer Assessment Scale. , 1996, Scandinavian journal of rehabilitation medicine.

[17]  Martin H. Teicher Actigraphy and Motion Analysis: New Tools for Psychiatry , 1995, Harvard review of psychiatry.

[18]  J. Hughes,et al.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. , 1992, Journal of neurology, neurosurgery, and psychiatry.

[19]  R J Prineas,et al.  International diagnostic criteria for acute myocardial infarction and acute stroke. , 1984, American heart journal.

[20]  Yoshiharu Yamamoto,et al.  Aging of complex heart rate dynamics , 2006, IEEE Transactions on Biomedical Engineering.