Virtual Reality as a Tool for Evaluation of Repetitive Rhythmic Movements in the Elderly and Parkinson's Disease Patients

This work presents an immersive Virtual Reality (VR) system to evaluate, and potentially treat, the alterations in rhythmic hand movements seen in Parkinson's disease (PD) and the elderly (EC), by comparison with healthy young controls (YC). The system integrates the subjects into a VR environment by means of a Head Mounted Display, such that subjects perceive themselves in a virtual world consisting of a table within a room. In this experiment, subjects are presented in 1st person perspective, so that the avatar reproduces finger tapping movements performed by the subjects. The task, known as the finger tapping test (FT), was performed by all three subject groups, PD, EC and YC. FT was carried out by each subject on two different days (sessions), one week apart. In each FT session all subjects performed FT in the real world (FTREAL) and in the VR (FTVR); each mode was repeated three times in randomized order. During FT both the tapping frequency and the coefficient of variation of inter-tap interval were registered. FTVR was a valid test to detect differences in rhythm formation between the three groups. Intra-class correlation coefficients (ICC) and mean difference between days for FTVR (for each group) showed reliable results. Finally, the analysis of ICC and mean difference between FTVR vs FTREAL, for each variable and group, also showed high reliability. This shows that FT evaluation in VR environments is valid as real world alternative, as VR evaluation did not distort movement execution and detects alteration in rhythm formation. These results support the use of VR as a promising tool to study alterations and the control of movement in different subject groups in unusual environments, such as during fMRI or other imaging studies.

[1]  I. Shimoyama,et al.  The finger-tapping test. A quantitative analysis. , 1990, Archives of neurology.

[2]  G. Riva,et al.  Common daily activities in the virtual environment: a preliminary study in parkinsonian patients , 2002, Neurological Sciences.

[3]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[4]  Paolo Bonato,et al.  JNER: a forum to discuss how neuroscience and biomedical engineering are reshaping physical medicine & rehabilitation , 2004, Journal of NeuroEngineering and Rehabilitation.

[5]  Giuseppe Riva,et al.  From toys to brain: Virtual reality applications in neuroscience , 1998, Virtual Reality.

[6]  Luis F. Schettino,et al.  Hand preshaping in Parkinson’s disease: effects of visual feedback and medication state , 2005, Experimental Brain Research.

[7]  E. Tunik,et al.  A virtual reality-based system integrated with fmri to study neural mechanisms of action observation-execution: a proof of concept study. , 2009, Restorative neurology and neuroscience.

[8]  Emily A Keshner,et al.  Virtual reality and physical rehabilitation: a new toy or a new research and rehabilitation tool? , 2004, Journal of NeuroEngineering and Rehabilitation.

[9]  Introduction to the special issue from the proceedings of the 2006 International Workshop on Virtual Reality in Rehabilitation , 2007, Journal of NeuroEngineering and Rehabilitation.

[10]  Maria V. Sanchez-Vives,et al.  From presence to consciousness through virtual reality , 2005, Nature Reviews Neuroscience.

[11]  B. Rothbaum,et al.  A controlled study of virtual reality exposure therapy for the fear of flying. , 2000, Journal of consulting and clinical psychology.

[12]  A Berthoz,et al.  Spatial, not temporal cues drive predictive orienting movements during navigation: a virtual reality study , 2000, Neuroreport.

[13]  Bharat B. Biswal,et al.  fMRI Analysis of Neural Mechanisms Underlying Rehabilitation in Virtual Reality: Activating Secondary Motor Areas , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  A. Berthoz,et al.  The neural basis of egocentric and allocentric coding of space in humans: a functional magnetic resonance study , 2000, Experimental Brain Research.

[15]  H Nagasaki,et al.  Walking Patterns and Finger Rhythm of Older Adults , 1996, Perceptual and motor skills.

[16]  A NEW SIGN OF CEREBELLAR DISEASE , 1929 .

[17]  Toby Howard,et al.  The treatment of phantom limb pain using immersive virtual reality: Three case studies , 2007, Disability and rehabilitation.

[18]  M. Stavrinou,et al.  Evaluation of Cortical Connectivity During Real and Imagined Rhythmic Finger Tapping , 2007, Brain Topography.

[19]  Mel Slater,et al.  The Influence of Body Movement on Subjective Presence in Virtual Environments , 1998, Hum. Factors.

[20]  A. Holcombe Seeing slow and seeing fast: two limits on perception , 2009, Trends in Cognitive Sciences.

[21]  A. Mirelman,et al.  294 VIRTUAL REALITY FOR GAIT TRAINING IN PARKINSON'S DISEASE: A FEASIBILITY STUDY , 2010 .

[22]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[23]  C. Botella,et al.  Virtual reality in the treatment of spider phobia: a controlled study. , 2002, Behaviour research and therapy.

[24]  D Stredney,et al.  A comparative analysis of integrating visual representations with haptic displays. , 1998, Studies in health technology and informatics.

[25]  Mark G. Carpenter,et al.  Influence of virtual reality on postural stability during movements of quiet stance , 2009, Neuroscience Letters.

[26]  Hunter G. Hoffman,et al.  Virtual Reality Exposure Therapy for World Trade Center Post-traumatic Stress Disorder: A Case Report , 2002, Cyberpsychology Behav. Soc. Netw..

[27]  Peter R. Francis,et al.  Differences in the abilities of individual fingers during the performance of fast, repetitive tapping movements , 2003, Experimental Brain Research.

[28]  Daniel Mestre,et al.  Virtual Reality and Claustrophobia: Multiple Components Therapy Involving Game Editor Virtual Environments Exposure , 2008, Cyberpsychology Behav. Soc. Netw..

[29]  A. Berthoz,et al.  Navigating in a virtual three-dimensional maze: how do egocentric and allocentric reference frames interact? , 2004, Brain research. Cognitive brain research.

[30]  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.

[31]  R. Kenyon,et al.  Using Immersive Technology for Postural Research and Rehabilitation , 2004, Assistive technology : the official journal of RESNA.

[32]  J. Mazziotta,et al.  Cortical mechanisms of human imitation. , 1999, Science.

[33]  M Rydmark,et al.  Neglect assessment as an application of virtual reality , 2007, Acta neurologica Scandinavica.

[34]  Laura Aymerich-Franch,et al.  Presence and Emotions in Playing a Group Game in a Virtual Environment: The Influence of Body Participation , 2010, Cyberpsychology Behav. Soc. Netw..

[35]  Eugene Tunik,et al.  Virtual reality to maximize function for hand and arm rehabilitation: exploration of neural mechanisms. , 2009, Studies in health technology and informatics.

[36]  Bruce H. Thomas,et al.  Virtual Reality as a Pediatric Pain Modulation Technique: A Case Study , 2003, Cyberpsychology Behav. Soc. Netw..

[37]  Giuseppe Riva,et al.  Executive functions in a virtual world: a study in Parkinson's disease. , 2010, Studies in health technology and informatics.

[38]  P. Quesada,et al.  Assessment of individual finger muscle activity in the extensor digitorum communis by surface EMG. , 2008, Journal of neurophysiology.

[39]  M. Hallett,et al.  Virtual Reality–Induced Cortical Reorganization and Associated Locomotor Recovery in Chronic Stroke: An Experimenter-Blind Randomized Study , 2005, Stroke.

[40]  Jeffrey M. Hausdorff,et al.  When human walking becomes random walking: fractal analysis and modeling of gait rhythm fluctuations. , 2001, Physica A.

[41]  Chih-Cheng Chen,et al.  A combined optimization method for solving the inverse kinematics problems of mechanical manipulators , 1991, IEEE Trans. Robotics Autom..

[42]  R. Beisteiner,et al.  FMRI correlates of apraxia in Parkinson's disease patients OFF medication , 2010, Experimental Neurology.

[43]  N. A. Borghese,et al.  Different Brain Correlates for Watching Real and Virtual Hand Actions , 2001, NeuroImage.

[44]  H. Narabayashi,et al.  Disturbances of Rhythm Formation in Patients with Parkinson's Disease: Part I. Characteristics of Tapping Response to the Periodic Signals , 1978, Perceptual and motor skills.

[45]  M. Levin,et al.  Virtual Reality in Stroke Rehabilitation: A Systematic Review of its Effectiveness for Upper Limb Motor Recovery , 2007, Topics in stroke rehabilitation.

[46]  M. Safir,et al.  Virtual Reality Cognitive Behavior Therapy for Public Speaking Anxiety , 2009, Behavior modification.

[47]  Daniel B. Jones,et al.  Comparison of video trainer and virtual reality training systems on acquisition of laparoscopic skills , 2002, Surgical Endoscopy And Other Interventional Techniques.

[48]  F. Babiloni,et al.  Time-varying cortical connectivity by high resolution EEG and directed transfer function: simulations and application to finger tapping data , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[49]  Jeffrey M. Hausdorff,et al.  Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson's disease? , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.

[50]  P. Pochet A Quantitative Analysis , 2006 .

[51]  Jeffrey M. Hausdorff,et al.  Fractal dynamics in physiology: Alterations with disease and aging , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[52]  Mark Hallett,et al.  Cortical reorganization and associated functional motor recovery after virtual reality in patients with chronic stroke: an experimenter-blind preliminary study. , 2005, Archives of physical medicine and rehabilitation.