A basic technology-aided programme for leisure and communication of persons with advanced amyotrophic lateral sclerosis: performance and social rating

References

• Ahmed A, Wicklund MP. Amyotrophic lateral sclerosis: what role does environment play? Neurol Clin. 2011;29:689–711.
   PubMed Web of Science ®Google Scholar
• Chiò A, Canosa A, Gallo S, et al. ALS clinical trials: do enrolled patients accurately represent the ALS population? Neurology. 2011;77:1432–1437.
   PubMed Web of Science ®Google Scholar
• Davis M, Lou JS. Management of amyotrophic lateral sclerosis (ALS) by the family nurse practitioner: a timeline for anticipated referrals. J Am Acad Nurse Pract 2011;23:464–472.
   PubMed Web of Science ®Google Scholar
• Pandya RS, Zhu H, Li W, et al. Therapeutic neuroprotective agents for amyotrophic lateral sclerosis. Cell Mol Life Sci. 2013;70:4729–4745.
   PubMed Web of Science ®Google Scholar
• Pansarasa O, Rossi D, Berardinelli A, et al. Amyotrophic lateral sclerosis and skeletal muscle: an update. Mol Neurobiol. 2014;49:984–990.
   PubMed Web of Science ®Google Scholar
• Gordon PH. Amyotrophic lateral sclerosis: an update for 2013 clinical features, pathophysiology, management, and therapeutic trials. Aging Dis. 2013;4:295–310.
   PubMed Web of Science ®Google Scholar
• Silvoni S, Cavinato M, Volpato C, et al. Amyotrophic lateral sclerosis progression and stability of brain-computer interface communication. Amyotroph Lateral Scler Frontotemporal Degener. 2013;14:390–396.
   PubMed Web of Science ®Google Scholar
• Gordon P, Corcia P, Meininger V. New therapy options for amyotrophic lateral sclerosis. Expert Opin Pharmacother. 2013;14:1907–1917.
   PubMed Web of Science ®Google Scholar
• Iguchi Y, Katsuno M, Ikenaka K, et al. Amyotrophic lateral sclerosis: an update on recent genetic insights. J Neurol. 2013;260:2917–2927.
   PubMed Web of Science ®Google Scholar
• Patten SA, Armstrong GA, Lissouba A, et al. Fishing for causes and cures of motor neuron disorders. Dis Model Mech. 2014;7:799–809.
   PubMed Web of Science ®Google Scholar
• Tortelli R, Copetti M, Ruggieri M, et al. Cerebrospinal fluid neurofilament light chain levels: marker of progression to generalized amyotrophic lateral sclerosis. Eur J Neurol. 2015;22:215–218.
   PubMed Web of Science ®Google Scholar
• Vucic S, Lin CS, Cheah BC, et al. Riluzole exerts central and peripheral modulating effects in amyotrophic lateral sclerosis. Brain. 2013;136:1361–1370.
   PubMed Web of Science ®Google Scholar
• Dimitriadi M, Kye MJ, Kalloo G, et al. The neuroprotective drug riluzole acts via small conductance Ca2+-activated K + channels to ameliorate defects in spinal muscular atrophy models. The. J Neurosci. 2013;33:6557–6562.
   PubMed Web of Science ®Google Scholar
• Gibson SB, Bromberg MB. Amyotrophic lateral sclerosis: drug therapy from the bench to the bedside. Semin Neurol. 2012;32:173–178.
   PubMed Web of Science ®Google Scholar
• Goyal NA, Mozaffar T. Experimental trials in amyotrophic lateral sclerosis: a review of recently completed, ongoing and planned trials using existing and novel drugs. Expert Opin Investig Drugs 2014;23:1541–1551.
   PubMed Web of Science ®Google Scholar
• Lunn JS, Sakowski SA, Feldman EL. Concise review: stem cell therapies for amyotrophic lateral sclerosis: recent advances and prospects for the future. Stem Cells. 2014;32:1099–1109.
   PubMed Web of Science ®Google Scholar
• Morgan RH, Srivastava AK. Clinical relevance of stem cell therapies in amyotrophic lateral sclerosis. Neurol India. 2014;62:239–248.
   PubMed Web of Science ®Google Scholar
• Rizzo F, Riboldi G, Salani S, et al. Cellular therapy to target neuroinflammation in amyotrophic lateral sclerosis. Cellular. Cell Mol Life Sci. 2014;71:999–1015.
   PubMed Web of Science ®Google Scholar
• Casey KS. Creating an assistive technology clinic: the experience of the Johns Hopkins AT Clinic for patients with ALS. NeuroRehabilitation 2011;28:281–293.
   PubMed Web of Science ®Google Scholar
• Cipresso P, Carelli L, Solca F, et al. The use of P300-based BCIs in amyotrophic lateral sclerosis: from augmentative and alternative communication to cognitive assessment. Brain Behav. 2012;2:479–498.
   PubMed Web of Science ®Google Scholar
• Höhne J, Schreuder M, Blankertz B, et al. A novel 9-class auditory ERP paradigm driving a predictive text entry system. Front Neurosci. 2011;5:99. Doi: 103389/fnins.2011.00099.
   PubMed Web of Science ®Google Scholar
• Lancioni GE, Singh NN, O’Reilly MF, et al. Technology-aided programs for assisting communication and leisure engagement of persons with amyotrophic lateral sclerosis: two single-case studies. Res Dev Disabil. 2012;33:1605–1614.
   PubMed Web of Science ®Google Scholar
• Marchetti M, Piccione F, Silvoni S, et al. Covert visuospatial attention orienting in a brain-computer interface for amyotrophic lateral sclerosis patients. Neurorehabil Neural Repair. 2013;27:430–438.
   PubMed Web of Science ®Google Scholar
• Caligari M, Godi M, Guglielmetti S, et al. Eye tracking communication devices in amyotrophic lateral sclerosis: impact on disability and quality of life. Amyotroph Lateral Scler Frontotemporal Degener. 2013;14:546–552.
   PubMed Web of Science ®Google Scholar
• Calvo A, Chiò A, Castellina E, et al. Eye tracking impact on quality-of-life of ALS patients. Lect Notes Comput Sci. 2008;5105:70–77.
   Google Scholar
• Harris D, Goren M. The ERICA eye gaze system versus manual letter board to aid communication in ALS/MND. BJNN. 2009;5:227–230.
   Google Scholar
• Spataro R, Ciriacono M, Manno C, et al. The eye-tracking computer device for communication in amyotrophic lateral sclerosis. Acta Neurol Scand. 2014;130:40–45.
   PubMed Web of Science ®Google Scholar
• Marchetti M, Priftis K. Effectiveness of the P3-speller in brain-computer interfaces for amyotrophic lateral sclerosis patients: a systematic review and meta-analysis. Front Neuroeng. 2014;7:12. Doi: 10.3389/fneng.2014.00012.
   PubMedGoogle Scholar
• McCane LM, Sellers EW, McFarland DJ, et al. Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener. 2014;15:207–215.
   PubMed Web of Science ®Google Scholar
• Riccio A, Mattia D, Simione L, et al. Eye-gaze independent EEG-based brain-computer interfaces for communication. J Neural Eng. 2012;9:045001. Doi: 10.1088/1741-2560/9/4/045001.
   PubMed Web of Science ®Google Scholar
• Hwang CS, Weng HH, Wang LF, et al. An eye-tracking assistive device improves the quality of life for ALS patients and reduces caregivers’ burden. J Mot Behav. 2014;46:233–238.
   PubMed Web of Science ®Google Scholar
• Li Y, Bahn S, Nam CS, et al. Effects of luminosity contrast and stimulus duration on user performance and preference in a P300-based brain-computer interface. Int J Hum Comput Int. 2014;30:151–163.
   Web of Science ®Google Scholar
• Li Y, Nam CS, Shadden BB, et al. A P300-based brain-computer interface: effects of interface type and screen size. Int J Hum Comp Int. 2011;27:52–68.
   Web of Science ®Google Scholar
• Krausz G, Ortner R, Opisso E. Accuracy of a brain computer interface (P300 spelling device) used by people with motor impairments. Stud Health Technol Inform. 2011;167:182–186.
   PubMedGoogle Scholar
• Lancioni GE, Singh NN, O’Reilly MF, et al. Technology-aided programs to support leisure engagement and communication by a man with amyotrophic lateral sclerosis. Dev Neurorehabil. 2012;15:149–153.
   PubMed Web of Science ®Google Scholar
• Lancioni GE, Singh NN, O’Reilly MF, et al. Technology to help persons with extensive neuro-motor impairment and lack of speech with their leisure occupation and communication. Res Dev Disabil. 2014;35:611–618.
   PubMed Web of Science ®Google Scholar
• Lancioni GE, Singh NN, O’Reilly MF, et al. A voice-sensitive microswitch for a man with amyotrophic lateral sclerosis and pervasive motor impairment. Disabil Rehabil Assist Technol. 2014;9:260–263.
   PubMedGoogle Scholar
• Lancioni GE, Simone IL, De Caro MF, et al. Assisting persons with advanced amyotrophic lateral sclerosis in their leisure engagement and communication needs with a basic technology-aided program. NeuroRehabilitation. 2015;36:355–365.
   PubMed Web of Science ®Google Scholar
• Sharma R, Hicks S, Berna CM, et al. Oculomotor dysfunction in amyotrophic lateral sclerosis: a comprehensive review. Arch Neurol. 2011;68:857–861.
   PubMed Web of Science ®Google Scholar
• Callahan K, Henson R, Cowan AK. Social validation of evidence-based practices in autism by parents, teachers, and administrators. J Autism Dev Disord. 2008;38:678–692.
   PubMed Web of Science ®Google Scholar
• Stasolla F, Caffò AO, Damiani R, et al. Assistive technology-based programs to promote communication and leisure activities by three children emerged from a minimal conscious state. Cogn Process. 2015;16:69–78.
   PubMed Web of Science ®Google Scholar
• Goldstein LH, Abrahams S. Changes in cognition and behaviour in amyotrophic lateral sclerosis: nature of impairment and implications for assessment. Lancet Neurol. 2013;12:368–380.
   PubMed Web of Science ®Google Scholar
• Zago S, Poletti B, Morelli C, et al. Amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD). Archives Italiennes De Biologie. 2011;149:39–56.
   PubMed Web of Science ®Google Scholar
• Barlow DH, Nock M, Hersen M. Single-case experimental designs: strategies for studying behavior change. 3rd ed. New York [NY]: Allyn & Bacon; 2009.
   Google Scholar
• Luiselli JK, Bass JD, Whitcomb SA. Teaching applied behavior analysis knowledge competencies to direct-care service providers: outcome assessment and social validation of a training program. Behav Modif. 2010;34:403–414.
   PubMed Web of Science ®Google Scholar
• Pedhazur E, Schmelkin L. Measurement design and analysis: an integrated approach. New York [NY]: Psychology Press; 1991.
   Google Scholar
• Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference and prediction. 2nd ed. New York [NY]: Springer; 2009.
   Google Scholar
• Dahlin E, Rydén M. Assistive technology for persons with psychiatric disabilities: accessibility and cost-benefit. Assist Technol Res Ser. 2011;29:294–299.
   Google Scholar
• Scherer MJ. Assistive technologies and other supports for people with brain impairments. [NY]: Springer; 2012.
   Google Scholar
• Scherer MJ, Craddock G, Mackeogh T. The relationship of personal factors and subjective well-being to the use of assistive technology devices. Disabil Rehabil. 2011;33:811–817.
   PubMed Web of Science ®Google Scholar
• Lamontagne ME, Routhier F, Auger C. Team consensus concerning important outcomes for augmentative and alternative communication assistive technologies: a pilot study. Augment Altern Commun. 2013;29:182–189.
   PubMed Web of Science ®Google Scholar
• Olsson AG, Markhede I, Strang S, et al. Differences in quality of life modalities give rise to needs of individual support in patients with ALS and their next of kin. Palliat Support Care. 2010;8:75–82.
   PubMed Web of Science ®Google Scholar
• Ripat J, Woodgate R. The intersection of culture, disability and assistive technology. Disabil Rehabil Assist Technol. 2011;6:87–96.
   PubMedGoogle Scholar
• Creemers H, Beelen A, Grupstra H, et al. The provision of assistive devices and home adaptations to patients with ALS in the Netherlands: patients’ perspectives. Amyotroph Lat Scl Frontotemporal Degener. 2014;15:207–215.
   PubMed Web of Science ®Google Scholar
• Majmudar S, Wu J, Paganoni S. Rehabilitation in amyotrophic lateral sclerosis: why it matters. Muscle Nerve. 2014;50:4–13.
   PubMed Web of Science ®Google Scholar
• Malik R, Lui A, Lomen-Hoerth C. Amyotrophic lateral sclerosis. Semin Neurol. 2014;34:534–541.
   PubMed Web of Science ®Google Scholar
• Kennedy C. Single case designs for educational research. New York [NY]: Allyn & Bacon; 2005.
   Google Scholar
• Makel MC, Plucker JA. Facts are more important than novelty: replication in the education sciences. Educ Res. 2014;43:304–316.
   Web of Science ®Google Scholar
• Lenker JA, Harris F, Taugher M, et al. Consumer perspectives on assistive technology outcomes. Disabil Rehabil Assist Technol. 2013;8:373–380.
   PubMedGoogle Scholar
• González-Ortega D, Diaz-Pernas FJ, Martinez-Zarzuela M, et al. A kinect-based system for cognitive rehabilitation exercises monitoring. Comput Meth Prog Bio. 2014;113:620–631.
   PubMed Web of Science ®Google Scholar
• Lancioni GE, Sigafoos J, O’Reilly MF, et al. Assistive technology: interventions for individuals with severe/profound and multiple disabilities. [NY]: Springer; 2013.
   Google Scholar
• Posatskiy AO, Chau T. Design and evaluation of a novel microphone-based mechanomyography sensor with cylindrical and conical acoustic chambers. Med Eng Phys. 2012;34:1184–1190.
   PubMed Web of Science ®Google Scholar
• Hill K, Kovacs T, Shin S. Critical issues using brain-computer interfaces for augmentative and alternative communication. Arch Phys Med Rehab. 2015;96:S8–S15.
   PubMed Web of Science ®Google Scholar