Cognitive ability assessment by brain-computer interface II: application of a BCI-based assessment method for cognitive abilities

References

• Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin Neurophysiol. 2002;113:767–791.10.1016/S1388-2457(02)00057-3
   PubMed Web of Science ®Google Scholar
• Dornhege G, Millan J del R, Hinterberger T, McFarland DJ. Toward brain-computer interfacing (neural information processing series). Cambridge (MA): The MIT Press; 2007. p. 520.
   Google Scholar
• Allison BZ, McFarland DJ, Schalk G, Zheng SD, Jackson MM, Wolpaw JR. Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol. 2008;119:399–408.10.1016/j.clinph.2007.09.121
   PubMed Web of Science ®Google Scholar
• Cheng M, Gao X, Gao S, Xu D. Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Bio-Med Eng. 2002;49:1181–1186.10.1109/TBME.2002.803536
   PubMed Web of Science ®Google Scholar
• Perego P, Turconi AC, Andreoni G, Maggi L, Beretta E, Parini S, Gagliardi C. Cognitive ability assessment by brain-computer interface validation of a new assessment method for cognitive abilities. J Neurosci Methods. 2011;201:239–250.10.1016/j.jneumeth.2011.06.025
   PubMed Web of Science ®Google Scholar
• Mak JN, Wolpaw JR. Clinical applications of brain-computer interfaces: current state and future prospects. IEEE Rev Bio-Med Eng. 2009;2:187–199.10.1109/RBME.2009.2035356
   PubMedGoogle Scholar
• Neuper C, Müller GR, Kübler A, Birbaumer N, Pfurtscheller G. Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment. Clin Neurophysiol. 2003;114:399–409.10.1016/S1388-2457(02)00387-5
   PubMed Web of Science ®Google Scholar
• Millán JDR, Rupp R, Müller-Putz GR, Murray-Smith R, Giugliemma C, Tangermann M, Vidaurre C, Cincotti F, Kübler A, Leeb R, Neuper C, Müller K-R, Mattia D. Combining brain-computer interfaces and assistive technologies: state-of-the-art and challenges. Front Neurosci. 2010;4:161.
   PubMed Web of Science ®Google Scholar
• Edlinger G, Holzner C, Guger C, Groenegress C, Slater M. Brain-computer interfaces for goal orientated control of a virtual smart home environment. In: 4th International IEEE/EMBS Conference on Neural Engineering; 2009. p. 463–465.
   Google Scholar
• Kronegg J, Voloshynovskiy S, Pun T. Analysis of bit-rate definitions for brain-computer interfaces. In: International Conference on Human-Computer Interaction; 2005. p. 7.
   Google Scholar
• Carabalona R, Grossi F, Tessadri A, Castiglioni P, Caracciolo A, de Munari I. Light on! Real world evaluation of a P300-based brain-computer interface (BCI) for environment control in a smart home. Ergonomics. 2012;55:552–563.10.1080/00140139.2012.661083
   PubMed Web of Science ®Google Scholar
• Iversen IH, Ghanayim N, Kübler A, Neumann N, Birbaumer N, Kaiser J. A brain-computer interface tool to assess cognitive functions in completely paralyzed patients with amyotrophic lateral sclerosis. Clinical Neurophysiol. 2008;119:2214–2223.10.1016/j.clinph.2008.07.001
   PubMed Web of Science ®Google Scholar
• Morris C, Bartlett D. Gross motor function classification system: impact and utility. Dev Med Child Neurol. 2004;46:60–65.
   PubMed Web of Science ®Google Scholar
• Bax M, Goldstein M, Rosenbaum P, Leviton A, Paneth N, Dan B, Jacobsson B, Damiano D. Proposed definition and classification of cerebral palsy, April 2005. Dev Med Child Neurol. 2005;47:571–576.10.1017/S001216220500112X
   PubMed Web of Science ®Google Scholar
• Surveillance of cerebral palsy in Europe: a collaboration of cerebral palsy surveys and registers. Surveillance of Cerebral Palsy in Europe (SCPE). Dev Med Child Neurol. 2000;42:816–824.
   PubMed Web of Science ®Google Scholar
• Perego P, Maggi L, Parini S. BCI ++: A new framework for brain-computer interface application. In: SEDE - ISCA; 2009. p. 6.
   Google Scholar
• Parini S, Maggi L, Turconi AC, Andreoni G. A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication. Comput intell neurosci. 2009;2009:864564.
   Google Scholar
• Lezak M, Howieson D, Loring D. Neuropsychological assessment. 4th ed. New York: Oxford University Press; 2004.
   Google Scholar
• Spreen O, Strauss E. A compendium of neuropsycological tests. Administration, norms, and commentary. 2nd ed. New York, NY: Oxford University Press; 1998.
   Google Scholar
• Nakamura H, Nakanishi M, Furukawa T, Hamanaka T, Tokudome S. Validity of brief intelligence tests for patients with Alzheimer’s diseases. Psychiat Clin Neuros. 2000;54:435–439.10.1046/j.1440-1819.2000.00733.x
   PubMed Web of Science ®Google Scholar
• Alevriadou A, Hatzinikolaou K, Tsakiridou H, Grouios G. Field dependence-independence of normally developing and mentally retarded boys of low and upper/midle socioeconomic status. Percept Motor Skill. 2004;99:913–923.10.2466/pms.99.3.913-923
   PubMed Web of Science ®Google Scholar
• Zaini M, Lim C, Low W, Harun F. Effects of nutritional status on accademic performance of Malaysian primary school children. Asia-Pac J Public Health. 2005;17:81–87.10.1177/101053950501700204
   PubMedGoogle Scholar
• Counters S, Bunchanan L, Ortega F. Neurocognitive impairment in lead-exposed children of Andean lead-glazing workers. J Occup Environ Med. 2005;47:306–312.10.1097/01.jom.0000155717.45594.65
   PubMed Web of Science ®Google Scholar
• A. Nagano-Saito, Washimi Y, Arahata Y, Kachi T, Lerch J, Evans A. Cerebral atrophy and its relation to cognitive impairment in Parkinson disease. Neurology. 2005;64:224–229.10.1212/01.WNL.0000149510.41793.50
   Google Scholar
• Basso A, Capitani E, Laiacona M. Raven coloured progressive matrices: normative values on 305 adult normal controls. Funct Neurol. 1987;2:189–194.
   PubMedGoogle Scholar
• Measso G, Zappalà G, Cavarzeran F, Crook T, Romani L, Pirozzolo F, Grigoletto F, Amaducci L, Massari D, Lebowitx B. Raven’s colored progressive matrices: a normative study of a random sample of healthy adults. Acta Neurol Scand. 1993;88:70–74.
   PubMed Web of Science ®Google Scholar
• Bottcher L. Children with spastic cerebral palsy, their cognitive functioning, and social participation: a review. Child Neuropsychol. 2010;16:209–228.10.1080/09297040903559630
   PubMed Web of Science ®Google Scholar
• Ortibus E, Lagae L, Casteels I, Demaerel P, Stiers P. Assessment of cerebral visual impairment with the L94 visual perceptual battery: clinical value and correlation with MRI findings. Dev Med Child Neurol. 2009;51:209–217.10.1111/dmcn.2009.51.issue-3
   PubMed Web of Science ®Google Scholar
• Nijholt A, Tan D, Pfurtscheller G, Brunner C, Mill J, Allison B, Graimann B, Popescu F, Blankertz B, Müller K. Brain-computer interfacing for intelligent systems. IEEE Intell Syst. 2008;23:72–79.10.1109/MIS.2008.41
   Web of Science ®Google Scholar
• Setare Amiri AR, Rabbi A, Azinfar L, Fazel-Rezai R. A review of P300, SSVEP, and hybrid P300/SSVEP brain-computer interface systems. In: Fazel-Rezai R, editor. Brain-computer interface systems – recent progress and future prospects. InTech; 2013. DOI: 10.5772/56135.
   Google Scholar