Quantifying Cognitive-Motor Interference in Virtual Reality Training after Stroke: the Role of Interfaces

Globally, stroke is the second leading cause of death above the age of 60 years, with the actual number of strokes to increase because of the ageing population. Stroke results into chronic conditions, loss of independence, affecting both the families of stroke survivors but also public health systems. Virtual Reality (VR) for rehabilitation is considered a novel and effective low-cost approach to re-train motor and cognitive function through strictly defined training tasks in a safe simulated environment. However, little is known about how the choice of VR interfacing technology affects motor and cognitive performance, or what the most cost-effective rehabilitation approach for patients with different prognostics is. In this paper we assessed the effect of four different interfaces in the training of the motor and cognitive domains within a VR neurorehabilitation task. In this study we have evaluated the effect of training using 2-dimensional and 3-dimensional as well as traditional and natural user interfaces with both stroke survivors and healthy participants. Results indicate that 3-dimensional interfaces contribute towards better results in the motor domain at the cost of lower performance in the cognitive domain, suggesting the use 2-dimensional natural user interfaces as a trade-off. Our results provide useful pointers for future directions towards a cost-effective and meaningful interaction in virtual rehabilitation tasks in both motor and cognitive domains.

[1]  Sergi Bermúdez i Badia,et al.  The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke , 2012, Stroke research and treatment.

[2]  S. Black,et al.  The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of Its Measurement Properties , 2002, Neurorehabilitation and neural repair.

[3]  C. Mathers,et al.  Preventing stroke: saving lives around the world , 2007, The Lancet Neurology.

[4]  J. Deutsch,et al.  Cochrane review: virtual reality for stroke rehabilitation. , 2012, European journal of physical and rehabilitation medicine.

[5]  C. Wolfe,et al.  Qualitative analysis of stroke patients' motivation for rehabilitation , 2000, BMJ : British Medical Journal.

[6]  D. Beevers,et al.  The atlas of heart disease and stroke , 2005, Journal of Human Hypertension.

[7]  L. Lucca Virtual reality and motor rehabilitation of the upper limb after stroke: a generation of progress? , 2009, Journal of rehabilitation medicine.

[8]  Claude Vincent,et al.  Rehabilitation needs for older adults with stroke living at home: perceptions of four populations , 2007, BMC geriatrics.

[9]  Sergi Bermúdez i Badia,et al.  RehabNet: A distributed architecture for motor and cognitive neuro-rehabilitation , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).

[10]  Paul F. M. J. Verschure,et al.  A Novel Brain-Based Approach for Multi-Modal Multi- Target Tracking in a Mixed Reality Space , 2007 .

[11]  Antonio Frisoli,et al.  The Combined Impact of Virtual Reality Neurorehabilitation and Its Interfaces on Upper Extremity Functional Recovery in Patients With Chronic Stroke , 2012, Stroke.

[12]  George A. Mensah,et al.  The atlas of heart disease and stroke , 2005 .

[13]  R. Reitan Validity of the Trail Making Test as an Indicator of Organic Brain Damage , 1958 .

[14]  N. Lincoln,et al.  The validity of the Addenbrooke’s Cognitive Examination-Revised (ACE-R) in acute stroke , 2012, Disability and rehabilitation.

[15]  Hodges,et al.  Addenbrooke’s Cognitive Examination – Revised (ACE-R) , 2020 .

[16]  K. Sunnerhagen,et al.  Assessment and Training in a 3-Dimensional Virtual Environment With Haptics: A Report on 5 Cases of Motor Rehabilitation in the Chronic Stage After Stroke , 2007, Neurorehabilitation and neural repair.

[17]  A. Di Carlo Human and economic burden of stroke. , 2009, Age and ageing.

[18]  Gazihan Alankus,et al.  Towards customizable games for stroke rehabilitation , 2010, CHI.

[19]  Darryl Charles,et al.  Serious Games for Upper Limb Rehabilitation Following Stroke , 2009, 2009 Conference in Games and Virtual Worlds for Serious Applications.

[20]  Gerard G Fluet,et al.  Virtual Reality for Sensorimotor Rehabilitation Post-Stroke: The Promise and Current State of the Field , 2013, Current Physical Medicine and Rehabilitation Reports.

[21]  John R Hodges,et al.  The Addenbrooke's Cognitive Examination Revised (ACE‐R): a brief cognitive test battery for dementia screening , 2006, International journal of geriatric psychiatry.

[22]  A. Teixeira-Pinto,et al.  Trail Making Test: regression-based norms for the Portuguese population. , 2013, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.