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Articles

RehAtt – scanning training for neglect enhanced by multi-sensory stimulation in Virtual Reality

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Pages 191-199 | Published online: 08 Mar 2016
 

Abstract

Background: There is a lack of effective treatment for neglect. We have developed a new training method, RehAtt™. The objective of this study was to determine whether RehAtt™ improves spatial attention in chronic neglect after stroke. Methods: RehAtt™ consists of a computer with monitor, 3D glasses, and a force feedback interface (Robotic pen) giving sensory motor activation to the contra-lesional arm. The software combines visual scanning training with multi-sensory stimulation in 3D virtual reality (VR) game environment. Fifteen stroke patients with chronic neglect (duration > 6 month) had repeated baseline evaluations to confirm stability of symptoms. There were no test–retest effects for any of the tests. Thereafter, all patients trained 15 h in RehAtt™ (3 × 1 h for 5 weeks). A neglect test battery and Catherine Bergego Scale, CBS, were used to assess behavioral outcome after intervention. CBS was also used at a 6-month follow-up. Results: Using repeated measurement analysis improvements due to the training were found for Star cancellation test (p = 0.006), Baking tray task (p < 0.001), and Extinction test (p = 0.05). In the Posner task improvements were seen fewer missed targets (p = 0.024). CBS showed improvements in activities of daily life immediately after training (p < 0.01). After 6 months the patients still reported improvement in CBS. Conclusion: RehAtt™ is a new concept for rehabilitation of neglect. Training with the VR-method improved spatial attention and showed transfer to improved spatial attention in activities of daily living in chronic neglect. Our results are promising and merit further studies.

Funding

The study has been financed by the Swedish Stroke Association, Neuro Sweden Association, EU Founding Objective One, Umeå University; ALF, Neuro foundation, and Stroke foundation.

Disclosures

Helena Fordell is the founder of a startup company to assign the intellectual property of RehAtt, registered by Umeå University Innovation office, Uminova. Kenneth Bodin, Anders Eklund, and Jan Malm do not report any disclosure.

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