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DOI 10.1111/j.1600-0404.2009.01194.x

Медицинская библиотека · Acta neurologica Scandinavica · 2009

Assessment of post-stroke extrapersonal neglect using a three-dimensional immersive virtual street crossing program.

Kim D Y, Ku J, Chang W H, Park T H, Lim J Y, Han K, Kim I Y, Kim S I

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

OBJECTIVE

To investigate the potential of our newly developed three-dimensional immersive virtual reality (VR) program modeled on a real street crossing as an assessment tool for extrapersonal neglect in stroke patients.

METHODS

Thirty-two patients with right-hemispheric stroke (neglect group, 16; non-neglect group, 16) were enrolled. The deviation angle, reaction time, left-to-right reaction time ratio, visual and auditory cue rates, and failure rate were evaluated during missions to keep a virtual avatar safe from a traffic accident in the VR program. The line bisection test and letter cancellation test were also evaluated.

RESULTS

The deviation angle, left-to-right reaction time ratio, left visual and auditory cue rates and left failure rate in the VR program showed significant differences between the two groups (P < 0.05). Depending on the direction of approach of the virtual car, the left parameters were significantly higher than the right parameters in the neglect group (P < 0.05). In the neglect group, the line bisection test correlated significantly with the deviation angle (P < 0.05). None of the other virtual reality parameters significantly correlated with the paper and pencil tests.

CONCLUSION

Post-stroke neglect in the extrapersonal space can be easily and safely detected and measured using our three-dimensional immersive virtual street crossing program.

Для цитирования: Kim D Y, Ku J, Chang W H, Park T H, Lim J Y, Han K, Kim I Y, Kim S I. Assessment of post-stroke extrapersonal neglect using a three-dimensional immersive virtual street crossing program.. Acta neurologica Scandinavica. 2009. DOI: 10.1111/j.1600-0404.2009.01194.x.

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