Using eye-tracking technology for communication in Rett syndrome: perceptions of impact

References

• Amir, R., Van den Veyver, I., Wan, M., Tran, C., Francke, U., & Zoghbi, H. (1999). Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2. Nature Genetics, 23, 185–188. doi:10.1038/13810
   PubMed Web of Science ®Google Scholar
• Baptista, P., Mercadante, M., Macedo, E., & Schwartzman, J. (2006). Cognitive performance in Rett syndrome girls: A pilot study using eye-tracking technology. Journal of Intellectual Disability Research, 50, 662–666. doi:10.1111/j.1365-2788.2006.00818.x
   PubMed Web of Science ®Google Scholar
• Bartolotta, T., Zipp, G., Simpkins, S., & Glazewski, B. (2011). Communication skills in girls with Rett syndrome. Focus on Autism and Other Developmental Disabilities, 26, 15–24. doi:10.1177/1088357610380042
   Web of Science ®Google Scholar
• Batorowicz, B., Campbell, F., von Tetzchner, S., King, G., & Missiuna, C. (2014). Social participation of school-aged children who use communication aids: The views of children and parents. Augmentative and Alternative Communication, 30, 237–251. doi:10.3109/07434618.2014.940464
   PubMed Web of Science ®Google Scholar
• Borgestig, M., Rytterström, P., & Hemmingsson, H. (2017a). Gazed-based assistive technology used in daily life by children with severe physical impairments: Parents’ experiences. Developmental Neurorehabilitation, 20, 301–308. doi:10.1080/17518423.2016.1211769
   PubMed Web of Science ®Google Scholar
• Borgestig, M., Sandqvist, J., Ahlsten, G., Falkmer, T., & Hemmingsson, H. (2017b). Gaze-based assistive technology in daily activities in children with severe physical impairments: An intervention study. Developmental Neurorehabilitation, 20, 129–141. doi:10.3109/17518423.2015.1132281
   PubMed Web of Science ®Google Scholar
• Byiers, B., & Symons, F. (2013). The need for unbiased cognitive assessment in Rett syndrome: Is eye tracking the answer? Development Medicine and Child Neurology, 55, 301–302. doi:10.1111/dmcn.12088
   PubMed Web of Science ®Google Scholar
• Day, H., & Jutai, J. (1996). Measuring the Psychosocial Impact of Assistive Devices: The PIADS. Canadian Journal of Rehabilitation, 9, 159–168.
   Google Scholar
• Demers, L., Weiss-Lambrou, R., & Ska, B. (2000). Item analysis of the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST). Assistive Technology, 1, 96–105. doi:10.1080/10400435.2000.10132015
   Google Scholar
• Demers, L., Weiss-Lambrou, R., & Ska, B. (2002). The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress. Technology and Disability, 14, 101–105.
   Google Scholar
• Didden, R., Korzilius, H., Smeets, E., Green, V., Lang, R., Lancioni, G., & Curfs, L. (2010). Communication in individuals with Rett syndrome: An assessment of forms and functions. Journal of Developmental and Physical Disabilities, 22, 105–118. doi:10.1007/s10882-009-9168-2
   PubMed Web of Science ®Google Scholar
• Djukic, A., & McDermott, M. (2012). Social preferences in Rett syndrome. Pediatric Neurology, 46, 240–242. doi:10.1016/j.pediatrneurol.2012.01.011
   PubMed Web of Science ®Google Scholar
• Fehr, S., Bebbington, A., Nassar, N., Downs, J., Ronen, G., de Klerk, N., & Leonard, H. (2011). Trends in the diagnosis of Rett syndrome in Australia. Pediatric Research, 70, 313–319. doi:10.1203/PDR.0b013e3182242461
   PubMed Web of Science ®Google Scholar
• Hagberg, B. (2002). Clinical manifestations and stages of Rett syndrome. Mental Retardation and Developmental Disabilities Research Reviews, 8, 61–65. doi:10.1002/mrdd.10020
   PubMedGoogle Scholar
• Hidecker, M., Paneth, N., Rosenbaum, P., Kent, R., Lillie, J., Eulenberg, J., … Taylor, K. (2011). Developing and validating the Communication Function Classification System (CFCS) for individuals with cerebral palsy. Developmental Medicine and Child Neurology, 53, 704–710. doi:10.1111/j.1469-8749.2011.03996.x
   PubMed Web of Science ®Google Scholar
• Hirano, D., & Taniguchi, T. (2015). Application of eye-tracker to individuals with Rett syndrome: A systematic review. International Journal of Physical Medicine & Rehabilitation, 3, 1–9. doi:10.4172/2329-9096.1000292
   Google Scholar
• Hunter, K. (2007). Motor problems. In K. Pryor, C. Weisz, P. Horsfall, M. Walther, J. Fry, S. McLoughlin & D. Ross (Eds.), The Rett syndrome handbook (pp. 179–186). Clinton, MD: International Rett Syndrome Association Publishing.
   Google Scholar
• Iyer, L., Haley, S., Watkins, M., & Dumas, H. (2003). Establishing minimal clinically important differences for scores on the Pediatric Evaluation of Disability Inventory for inpatient rehabilitation. Physical Therapy, 83, 888–898. doi:10.1093/ptj/83.10.888
   PubMed Web of Science ®Google Scholar
• Jutai, J., & Day, H. (2002). Psychosocial Impact of Assistive Devices Scale (PIADS). Technology and Disability, 14, 107–111. doi:10.1037/t45599-000
   Google Scholar
• King, G., McDougall, J., Palisano, R., Gritzan, J., & Tucker, M. (1999). Goal Attainment Scaling: Its use in evaluating pediatric therapy programs. Physical and Occupational Therapy in Pediatrics, 19, 31–52. doi:10.1080/J006v19n02_03
   Google Scholar
• Kiresuk, T., Smith, A., & Cardillo, J. (1994) Goal Attainment Scaling: Applications, theory, and measurement. Hillsdale, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Lariviere, J. (2015). Eye-tracking: Eye-gaze technology. In I. Söderback (Eds.), International handbook of occupational therapy interventions (2nd ed., pp. 339–362). Switzerland: Springer International Publishing.
   Google Scholar
• Law, M., Hanna, S., King, G., Hurley, P., King, S., Kertoy, M., & Rosenbaum, P. (2003). Factors affecting family-centred service delivery for children with disabilities. Child: Care, Health & Development, 29, 357–366. doi:10.1046/j.1365-2214.2003.00351.x
   PubMed Web of Science ®Google Scholar
• Lee, J., Leonard, H., Piek, J., & Downs, J. (2013). Early development and regression in Rett syndrome. Clinical Genetics, 84, 572–576. doi:10.1111/cge.12110
   PubMed Web of Science ®Google Scholar
• Porter, G., & Burkhart, L. (2012). The roads to autonomous communication using aided language. Presented at the Preconference of the Fifteenth Biennial Conference of the International Society for Augmentative and Alternative Communication, Pittsburgh, PA.
   Google Scholar
• Ronen, G., & Rosenbaum, P. (2016). Rett syndrome turns 50: Themes from a chronicle: Medical perspectives and the human face of Rett syndrome. Pediatric Neurology, 61, 3–10. doi:10.1016/j.pediatrneurol.2016.04.012
   PubMed Web of Science ®Google Scholar
• Rose, S., Djukic, A., Jankowski, J., Feldman, J., Fishman, I., & Valicenti-McDermott, M. (2013). Rett syndrome: An eye-tracking study of attention and recognition memory. Developmental Medicine and Child Neurology, 55, 364–371. doi:10.1111/dmcn.12085
   PubMed Web of Science ®Google Scholar
• Thomas, G. (2011). How to do your case study: A guide for students and researchers. Thousand Oaks, CA: Sage Publishing.
   Google Scholar
• Townend, G., Marschik, P., Smeets, E., van de Berg, R., van den Berg, M., & Curfs, L. (2016). Eye gaze technology as a form of augmentative and alternative communication for individuals with Rett syndrome: Experiences of families in the Netherlands. Journal of Developmental and Physical Disabilities, 21, 101–112. doi:10.1007/s10882-015-9455-z
   Google Scholar
• Urbanowitz, A., Leonard, H., Girdler, S., Ciccone, N., & Downs, J. (2016). Parental perspectives on the communication abilities of their daughters with Rett syndrome. Developmental Neurorehabilitation, 19, 17–25. doi:10.3109/17518423.2013.879940
   PubMed Web of Science ®Google Scholar
• Wandin, H., Lindberg, P., & Sonnander, K. (2015). Communication intervention in Rett syndrome: A survey of speech language pathologists in Swedish health services. Disability and Rehabilitation, 37, 1324–1333. doi:10.3109/09638288.2014.962109
   PubMed Web of Science ®Google Scholar
• Wilkinson, K., & Mitchell, T. (2014). Eye tracking research to answer questions about augmentative and alternative communication assessment and intervention. Augmentative and Alternative Communication, 30, 106–119. doi:10.3109/07434618.2014.904435
   PubMed Web of Science ®Google Scholar