Accommodations to cognitive assessment for a child with dyskinetic cerebral palsy: case study

References

• Himmelmann K, Hagberg G, Wiklund L, et al. Dyskinetic cerebral palsy: a population-based study of children born between 1991 and 1998. Dev Med Child Neurol. 2007;49(4):246–251.
   PubMed Web of Science ®Google Scholar
• Rosenbaum P, Paneth N, Leviton A, et al. A report: the definition and classification of cerebral palsy April 2006. Dev Med Child Neurol Suppl. 2007;109:8–14.
   PubMedGoogle Scholar
• Novak I, Hines M, Goldsmith S, et al. Clinical prognostic messages from a systematic review on cerebral palsy. Pediatrics. 2012;130:e1285–e1312.
   PubMed Web of Science ®Google Scholar
• Nordberg A, Miniscalco C, Lohmander A, et al. Speech problems affect more than one in two children with cerebral palsy: Swedish population-based study. Acta Paediatr. 2013;102(2):161–166.
   PubMed Web of Science ®Google Scholar
• Romeo DM, Cioni M, Battaglia LR, et al. Spectrum of gross motor and cognitive functions in children with cerebral palsy: gender differences. Eur J Paediatr Neurol. 2011;15(1):53–58.
   PubMed Web of Science ®Google Scholar
• Sigurdardottir S, Eiriksdottir A, Gunnarsdottir E, et al. Cognitive profile in young Icelandic children with cerebral palsy. Dev Med Child Neurol. 2008;50(5):357–362.
   PubMed Web of Science ®Google Scholar
• Stadskleiv K, Vik T, Andersen G, et al. Is cognition assessed appropriately in children with cerebral palsy? Dev Med Child Neurol. 2015;57:23.
   PubMedGoogle Scholar
• Sherwell S, Reid SM, Reddihough DS, et al. Measuring intellectual ability in children with cerebral palsy: can we do better? Res Dev Disabil. 2014;35(10):2558–2567.
   PubMed Web of Science ®Google Scholar
• Stadskleiv K. Cognitive functioning in children with cerebral palsy. Dev Med Child Neurol. 2020;62(3):283–289.
   PubMed Web of Science ®Google Scholar
• Yin Foo R, Guppy M, Johnston LM. Intelligence assessments for children with cerebral palsy: a systematic review. Dev Med Child Neurol. 2013;55(10):911–918.
   PubMed Web of Science ®Google Scholar
• Coceski M, Hocking DR, Reid SM, et al. Assessing IQ in adolescents with mild to moderate cerebral palsy using the WISC-V. Clin Neuropsychol. 2021;1–20.
   PubMed Web of Science ®Google Scholar
• Murchland S, Parkyn H. Using assistive technology for schoolwork: the experience of children with physical disabilities. Disabil Rehabil Assist Technol. 2010;5(6):438–447.
   PubMedGoogle Scholar
• Stadskleiv K, Jahnsen R, Andersen GL, et al. Neuropsychological profiles of children with cerebral palsy. Dev Neurorehabil. 2018;21(2):108–120.
   PubMed Web of Science ®Google Scholar
• Kurmanaviciute R, Stadskleiv K. Assessment of verbal comprehension and non-verbal reasoning when standard response mode is challenging: a comparison of different response modes and an exploration of their clinical usefulness. Cogent Psychol. 2017;4(1):1275416.
   Web of Science ®Google Scholar
• Warschausky S, Van Tubbergen M, Asbell S, et al. Modified test administration using assistive technology: preliminary psychometric findings. Assessment. 2012;19(4):472–479.
   PubMed Web of Science ®Google Scholar
• Geytenbeek JJ, Mokkink LB, Knol DL, et al. Reliability and validity of the C-BiLLT: a new instrument to assess comprehension of spoken language in young children with cerebral palsy and complex communication needs. Augment Altern Commun. 2014;30(3):252–266.
   PubMed Web of Science ®Google Scholar
• Geytenbeek JJ, Vermeulen RJ, Becher JG, et al. Comprehension of spoken language in non-speaking children with severe cerebral palsy: an explorative study on associations with motor type and disabilities. Dev Med Child Neurol. 2015;57(3):294–300.
   PubMed Web of Science ®Google Scholar
• Alcaide-Aguirre R, Warschausky S, Brown D, et al. Asynchronous brain–computer interface for cognitive assessment in people with cerebral palsy. J Neural Eng. 2017;14(6):066001.
   PubMed Web of Science ®Google Scholar
• Berchio C, Micali N. Cognitive assessment using ERP in child and adolescent psychiatry: difficulties and opportunities. Psychiatry Res Neuroimaging. 2022;319:111424.
   PubMed Web of Science ®Google Scholar
• Bhavnani S, Lockwood Estrin G, Haartsen R, et al. EEG signatures of cognitive and social development of preschool children—a systematic review. PLOS One. 2021;16(2):e0247223.
   PubMed Web of Science ®Google Scholar
• Fiske SI, Haddeland AL, Skipar I, et al. Assessing language comprehension in motor impaired children needing AAC: validity and reliability of the Norwegian Version of the Receptive Language Test C-BiLLT. Augment Altern Commun. 2020;36(2):95–106.
   PubMed Web of Science ®Google Scholar
• Stadskleiv K, Jahnsen R, Andersen GL, et al. Executive functioning in children aged 6–18 years with cerebral palsy. J Dev Phys Disabil. 2017;29(4):663–681.
   Web of Science ®Google Scholar
• Stadskleiv K, Batorowicz B, Massaro M, et al. Visual-spatial cognition in children using aided communication. Augment Altern Commun. 2018;34(1):68–78.
   PubMed Web of Science ®Google Scholar
• Palisano RJ, Rosenbaum P, Bartlett D, et al. Content validity of the expanded and revised gross motor function classification system. Dev Med Child Neurol. 2008;50(10):744–750.
   PubMed Web of Science ®Google Scholar
• Eliasson A-C, Krumlinde-Sundholm L, Rösblad B, et al. The Manual Ability Classification System (MACS) for children with cerebral palsy: scale development and evidence of validity and reliability. Dev Med Child Neurol. 2006;48(7):549–554.
   PubMed Web of Science ®Google Scholar
• Pennington L, Virella D, Mjøen T, et al. Development of the Viking Speech Scale to classify the speech of children with cerebral palsy. Res Dev Disabil. 2013;34(10):3202–3210.
   PubMed Web of Science ®Google Scholar
• Hidecker MJC, Paneth N, Rosenbaum PL, et al. Developing and validating the Communication Function Classification System for individuals with cerebral palsy. Dev Med Child Neurol. 2011;53(8):704–710.
   PubMed Web of Science ®Google Scholar
• Thinksmartbox. Grid 3: Thinksmartbox; 2018; [cited 2018 Nov 25]. Available from: https://thinksmartbox.com/product/grid-3/
   Google Scholar
• Tobiidynavox. Windows Control TobiiDynavox: TobiiDynavox; 2018; [cited 2018 Nov 25]. Available from: https://www.mytobiidynavox.com/Store/WindowsControl
   Google Scholar
• Dunn LM, Dunn DM. PPVT-4: Peabody Picture Vocabulary Test. Minneapolis (MN): Pearson Assessments; 2007.
   Google Scholar
• Raiford SE, Drozdick LW, Zhang O. Q-interactive® Special Group Studies: the WISC. Minneapolis (MN): Pearson Education, Inc; 2016.
   Google Scholar
• Manly T, Anderson V, Crawford J, et al. Test of Everyday Attention for Children (TEA-Ch2). Bury St. Edmunds: Thames Valley Test Co.; 2016.
   Google Scholar
• Viezel K, Zibulsky J, Dumont R, et al. Beery-Buktenica Developmental Test of Visual-Motor Integration. In: Encyclopedia of special education: a reference for the education of children, adolescents, and adults with disabilities and other exceptional individuals; 2013.
   Google Scholar
• Hart SG, Staveland LE. Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv Psychol. 1988;52:139–183.
   Google Scholar
• Brooke J. SUS-A Quick and Dirty Usability Scale. Usabil Eval Ind. 1996;189(194):4–7.
   Google Scholar
• Heaton R, Staff P, Goldin J. WCST: CV4 Wisconsin Card Sorting Test: computer version 4 research edition user’s manual. Lutz (FL): Psychological Assessment Resources Inc.; 2003.
   Google Scholar
• Lewis JR. The System Usability Scale: past, present, and future. J Usabil Stud. 2018;34:1–14.
   Google Scholar
• Trnka K, Yarrington D, McCaw J, et al., editors. The effects of word prediction on communication rate for AAC. Human Language Technologies 2007: the Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers; 2007.
   Google Scholar
• Colarusso RP, Hammill DD. Motor-Free Visual Perception Test. Academic Therapy Pub.; 1972.
   Google Scholar