Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2017, Article ID 2874819, 13 pages
https://doi.org/10.1155/2017/2874819
Research Article

Assessing Cognitive Estimation and Its Effects on Community Integration in People with Acquired Brain Injury Undergoing Rehabilitation

1Department of Psychology, University of Limerick, Limerick, Ireland
2Department of Psychology, Mercy University Hospital, Cork, Ireland

Correspondence should be addressed to Dónal G. Fortune; ei.lu@enutrof.lanod

Received 23 February 2017; Revised 25 May 2017; Accepted 4 June 2017; Published 26 July 2017

Academic Editor: Vida Demarin

Copyright © 2017 Dónal G. Fortune and Helen L. Richards. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. N. R. Brown and R. S. Siegler, “Metrics and mappings: a framework for understanding real-world quantitative estimation,” Psychological Review, vol. 100, no. 3, pp. 511–534, 1993. View at Publisher · View at Google Scholar · View at Scopus
  2. B. von Helversen and J. Rieskamp, “The mapping model: a cognitive theory of quantitative estimation,” Journal of Experimental Psychology: General, vol. 137, no. 1, pp. 73–96, 2008. View at Publisher · View at Google Scholar · View at Scopus
  3. C. A. Scott, L. J. Rapport, R. Coleman Bryer, J. Griffen, R. Hanks, and C. McKay, “Self-assessment of driving ability and the decision to resume driving following stroke,” Journal of Clinical and Experimental Neuropsychology, vol. 31, no. 3, pp. 353–362, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Shallice and M. E. Evans, “The involvement of the frontal lobes in cognitive estimations,” Cortex, vol. 14, no. 2, pp. 294–303, 1978. View at Publisher · View at Google Scholar · View at Scopus
  5. S. E. MacPherson, G. P. Wagner, P. Murphy, M. Bozzali, and L. Cipolotti, “Bringing the cognitive estimation task into the 21st century: normative data on two new parallel forms,” PLoS ONE, vol. 9, no. 3, Article ID e104483, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Della Sala, S. E. MacPherson, L. H. Phillips, L. Sacco, and H. Spinnler, “The role of semantic knowledge on the cognitive estimation task: evidence from Alzheimer’s disease and healthy adult aging,” Journal of Neurology, vol. 251, no. 2, pp. 156–164, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. F. C. Goldstein, J. Green, R. M. Presley et al., “Cognitive estimation in patients with Alzheimer’s disease,” Neuropsychiatry, Neuropsychology and Behavioral Neurology, vol. 9, no. 1, pp. 35–42, 1996. View at Google Scholar · View at Scopus
  8. E. J. Levinoff, L. Verret, V. Akerib et al., “Cognitive estimation impairment in Alzheimer disease and mild cognitive impairment,” Neuropsychology, vol. 20, no. 1, pp. 123–132, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. M. F. Mendez, R. C. Doss, and M. M. Cherrier, “Use of the cognitive estimations test to discriminate frontotemporal dementia from Alzheimer’s disease,” Journal of Geriatric Psychiatry and Neurology, vol. 11, no. 1, pp. 2–6, 1998. View at Publisher · View at Google Scholar · View at Scopus
  10. N. R. C. Leng and A. J. Parkin, “Double dissociation of frontal dysfunction in organic amnesia,” British Journal of Clinical Psychology, vol. 27, no. 4, pp. 359–362, 1988. View at Publisher · View at Google Scholar · View at Scopus
  11. T. A. Bisbing, C. A. Olm, C. T. McMillan et al., “Estimating frontal and parietal involvement in cognitive estimation: a study of focal neurodegenerative diseases,” Frontiers in Human Neuroscience, vol. 9, article 317, 2015. View at Publisher · View at Google Scholar · View at Scopus
  12. S. C. Hinton, J. S. Paulsen, R. G. Hoffmann, N. C. Reynolds, J. L. Zimbelman, and S. M. Rao, “Motor timing variability increases in preclinical Huntington’s disease patients as estimated onset of motor symptoms approaches,” Journal of the International Neuropsychological Society, vol. 13, no. 3, pp. 539–543, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Brand, E. Fujiwara, E. Kalbe, H.-P. Steingass, J. Kessler, and H. J. Markowitsch, “Cognitive estimation and affective judgments in alcoholic Korsakoff patients,” Journal of Clinical and Experimental Neuropsychology, vol. 25, no. 3, pp. 324–334, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Brand, E. Kalbe, E. Fujiwara, M. Huber, and H. J. Markowitsch, “Cognitive estimation in patients with probable Alzheimer’s disease and alcoholic Korsakoff patients,” Neuropsychologia, vol. 41, no. 5, pp. 575–584, 2003. View at Publisher · View at Google Scholar · View at Scopus
  15. I. M. Appollonio, A. Russo, V. Isella et al., “Cognitive estimation: comparison two tests in nondemented parkinsonian patients,” Neurological Sciences, vol. 24, no. 3, pp. 153-154, 2003. View at Publisher · View at Google Scholar · View at Scopus
  16. G. E. D’Aniello, F. Scarpina, G. Albani, G. Castelnuovo, and A. Mauro, “Disentangling the relationship between cognitive estimation abilities and executive functions: a study on patients with Parkinson’s disease,” Neurological Sciences, vol. 36, no. 8, pp. 1425–1429, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. G. Giaglis, M. Giannakou, X. Fitsioris, M. H. Kosmidis, E. Didaskalou, and I. Tsiptsios, “Impaired cognitive estimation in non-demented patients with Parkinson’s disease,” European Journal of Neurology, vol. 15, no. 3, pp. 290–290, 2008. View at Google Scholar
  18. F. Scarpina, A. Mauro, G. E. D’Aniello et al., “Cognitive estimation in non-demented Parkinson’s disease,” Archives of Clinical Neuropsychology, vol. 32, no. 4, pp. 381–390, 2017. View at Publisher · View at Google Scholar
  19. J. Billino, M. Brand, and A. Roesler, “Cognitive estimation in patients with early subcortical vascular dementia,” International Journal of Geriatric Psychiatry, vol. 23, no. 9, pp. 982-983, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. N. Margraf, T. Bachmann, W. Schwandner, S. Gottschalk, and G. Seidel, “Bedside screening for executive dysfunction in patients with subcortical ischemic vascular disease,” International Journal of Geriatric Psychiatry, vol. 24, no. 9, pp. 1002–1009, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. M. R. Freeman, J. J. Ryan, S. J. Lopez, and W. Mittenberg, “Cognitive estimation in traumatic brain injury: relationships with measures of intelligence, memory, and affect,” International Journal of Neuroscience, vol. 83, no. 3-4, pp. 269–273, 1995. View at Publisher · View at Google Scholar · View at Scopus
  22. N. D. Silverberg, R. A. Hanks, and C. Mckay, “Cognitive estimation in traumatic brain injury,” Journal of the International Neuropsychological Society, vol. 13, no. 5, pp. 898–902, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. R. J. Spencer and D. Johnson-Greene, “The Cognitive Estimation Test (CET): psychometric limitations in neurorehabilitation populations,” Journal of Clinical and Experimental Neuropsychology, vol. 31, no. 3, pp. 373–377, 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. A. Barabassy, U. Beinhoff, and M. W. Riepe, “Cognitive estimation in aged patients with major depressive disorder,” Psychiatry Research, vol. 176, no. 1, pp. 26–29, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. C. T. Jackson, D. Fein, S. M. Essock, and K. T. Mueser, “The effects of cognitive impairment and substance abuse on psychiatric hospitalizations,” Community Mental Health Journal, vol. 37, no. 4, pp. 303–312, 2001. View at Publisher · View at Google Scholar · View at Scopus
  26. S. Khodarahimi and A. Rasti, “Cognitive estimation in patients with Alzheimer’s disease and schizophrenia,” Journal of Neuroscience, Behaviour and Health, vol. 3, no. 2, pp. 27–31, 2011. View at Google Scholar
  27. R. M. Roth, H. S. Pixley, C. L. Kruck, M. A. Garlinghouse, P. R. Giancola, and L. A. Flashman, “Performance on the cognitive estimation test in schizophrenia,” Applied Neuropsychology, vol. 19, no. 2, pp. 141–146, 2012. View at Publisher · View at Google Scholar · View at Scopus
  28. R. Taylor and R. O’Carroll, “Cognitive estimation in neurological disorders,” British Journal of Clinical Psychology, vol. 34, no. 2, pp. 223–228, 1995. View at Publisher · View at Google Scholar · View at Scopus
  29. S. E. Bullard, D. Fein, M. K. Gleeson, N. Tischer, R. L. Mapou, and E. Kaplan, “The biber cognitive estimation test,” Archives of Clinical Neuropsychology, vol. 19, no. 6, pp. 835–846, 2004. View at Publisher · View at Google Scholar · View at Scopus
  30. B. N. Axelrod and S. R. Millis, “Preliminary standardization of the cognitive estimation test,” Assessment, vol. 1, no. 3, pp. 269–274, 1994. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Della Sala, S. E. MacPherson, L. H. Phillips, L. Sacco, and H. Spinnler, “How many camels are there in Italy? Cognitive estimates standardised on the Italian population,” Neurological Sciences, vol. 24, no. 1, pp. 10–15, 2003. View at Publisher · View at Google Scholar · View at Scopus
  32. D. A. Gansler, M. Varvaris, L. Swenson, and D. J. Schretlen, “Cognitive estimation and its assessment,” Journal of Clinical and Experimental Neuropsychology, vol. 36, no. 6, pp. 559–568, 2014. View at Publisher · View at Google Scholar · View at Scopus
  33. R. O’Carroll, V. Egan, and D. M. MacKenzie, “Assessing cognitive estimation,” British Journal of Clinical Psychology, vol. 33, no. 2, pp. 193–197, 1994. View at Publisher · View at Google Scholar · View at Scopus
  34. F. Scarpina, G. E. D’Aniello, A. Mauro, G. Castelnuovo, and S. E. MacPherson, “How many segments are there in an orange: normative data for the new Cognitive Estimation Task in an Italian population,” Neurological Sciences, vol. 36, no. 10, pp. 1889–1895, 2015. View at Publisher · View at Google Scholar · View at Scopus
  35. J. F. Malec and J. Kean, “Post-inpatient brain injury rehabilitation outcomes: report from the national outcomeinfo database,” Journal of Neurotrauma, vol. 33, no. 14, pp. 1371–1379, 2016. View at Publisher · View at Google Scholar · View at Scopus
  36. J. F. Malec and Lezak., Manual for the Mayo-Portland Adaptability Inventory, 2008, http://www.tbims.org/combi/mpai/.
  37. C. Randolph, Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), The Psychological Corporation, San Antonio, Tex, USA, 1998.
  38. E. Strauss, E. M. Sherman, and O. Spreen, A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary, Oxford University Press, New York, NY, USA, 2006.
  39. P. W. Burgess, N. Alderman, J. J. Evans, B. A. Wilson, H. Emslie, and T. Shallice, “Modified six elements test,” in Behavioral Assessment of the Dysexecutive Syndrome, B. A. Wilson, N. Alderman, P. W. Burgess, H. Emslie, and J. J. Evans, Eds., Thames Valley Test Company, Bury St. Edmunds, UK, 1996. View at Google Scholar
  40. R. M. Reitan, “Validity of the trail making test as an indicator of organic brain damage,” Perceptual and Motor Skills, vol. 8, no. 3, pp. 271–276, 1958. View at Publisher · View at Google Scholar · View at Scopus
  41. J. D. Corrigan and R. Deming, “Psychometric characteristics of the community integration questionnaire: replication and extension,” Journal of Head Trauma Rehabilitation, vol. 10, no. 4, pp. 41–53, 1995. View at Publisher · View at Google Scholar · View at Scopus
  42. C. McKay, J. E. Casey, J. Wertheimer, and N. L. Fichtenberg, “Reliability and validity of the RBANS in a traumatic brain injured sample,” Archives of Clinical Neuropsychology, vol. 22, no. 1, pp. 91–98, 2007. View at Publisher · View at Google Scholar · View at Scopus
  43. E. B. Larson, K. Kirschner, R. Bode, A. Heinemann, and R. Goodman, “Construct and predictive validity of the repeatable battery for the assessment of neuropsychological status in the evaluation of stroke patients,” Journal of Clinical and Experimental Neuropsychology, vol. 27, no. 1, pp. 16–32, 2005. View at Publisher · View at Google Scholar · View at Scopus
  44. S. Wagner, A. Sebastian, K. Lieb, O. Tüscher, and A. Tadić, “A coordinate-based ALE functional MRI meta-analysis of brain activation during verbal fluency tasks in healthy control subjects,” BMC Neuroscience, vol. 15, article 19, 2014. View at Publisher · View at Google Scholar · View at Scopus
  45. S. Schwartz and J. Baldo, “Distinct patterns of word retrieval in right and left frontal lobe patients: a multidimensional perspective,” Neuropsychologia, vol. 39, no. 11, pp. 1209–1217, 2001. View at Publisher · View at Google Scholar · View at Scopus
  46. P. C. Bennett, B. Ong, and J. Ponsford, “Assessment of executive dysfunction following traumatic brain injury: comparison of the BADS with other clinical neuropsychological measures,” Journal of the International Neuropsychological Society, vol. 11, no. 5, pp. 606–613, 2005. View at Publisher · View at Google Scholar · View at Scopus
  47. D. Bertens, N. Frankenmolen, D. H. E. Boelen, R. P. C. Kessels, and L. Fasotti, “Validity of an adapted scoring method for a Modified Six Elements Test in individuals with brain injury,” Archives of Clinical Neuropsychology, vol. 30, no. 2, pp. 122–129, 2015. View at Publisher · View at Google Scholar · View at Scopus
  48. T. Manly, K. Hawkins, J. Evans, K. Woldt, and I. H. Robertson, “Rehabilitation of executive function: facilitation of effective goal management on complex tasks using periodic auditory alerts,” Neuropsychologia, vol. 40, no. 3, pp. 271–281, 2002. View at Publisher · View at Google Scholar · View at Scopus
  49. A. Emmanouel, R. P. C. Kessels, E. Mouza, and L. Fasotti, “Sensitivity, specificity and predictive value of the BADS to anterior executive dysfunction,” Neuropsychological Rehabilitation, vol. 24, no. 1, pp. 1–25, 2014. View at Publisher · View at Google Scholar · View at Scopus
  50. I. Sánchez-Cubillo, J. A. Periáñez, D. Adrover-Roig et al., “Construct validity of the Trail Making Test: role of task-switching, working memory, inhibition/interference control, and visuomotor abilities,” Journal of the International Neuropsychological Society, vol. 15, no. 3, pp. 438–450, 2009. View at Publisher · View at Google Scholar · View at Scopus
  51. G. J. Lamberty, S. Putnam, D. Chatel, L. Bieliauskas, and K. M. Adams, “Derived trail making test indices: a preliminary report,” Neuropsychiatry, Neuropsychology and Behavioral Neurology, vol. 7, no. 3, pp. 230–234, 1994. View at Google Scholar · View at Scopus
  52. D. G. Fortune, R. S. Walsh, B. Waldron et al., “Changes in aspects of social functioning depend upon prior changes in neurodisability in people with acquired brain injury undergoing post-acute neurorehabilitation,” Frontiers in Psychology, vol. 6, article 1368, 2015. View at Publisher · View at Google Scholar
  53. K. Salter, J. A. McClure, N. C. Foley, and R. Teasell, “Community integration following TBI: an examination of community integration measures within the ICF framework,” Brain Injury, vol. 25, no. 12, pp. 1147–1154, 2011. View at Publisher · View at Google Scholar · View at Scopus
  54. M. Linting, J. J. Meulman, P. J. F. Groenen, and A. J. van der Kooij, “Nonlinear principal components analysis: introduction and application,” Psychological Methods, vol. 12, no. 3, pp. 336–358, 2007. View at Publisher · View at Google Scholar · View at Scopus
  55. M. Linting and A. Van Der Kooij, “Nonlinear principal components analysis with CATPCA: a tutorial,” Journal of Personality Assessment, vol. 94, no. 1, pp. 12–25, 2012. View at Publisher · View at Google Scholar · View at Scopus
  56. J. F. Cantlon, M. L. Platt, and E. M. Brannon, “Beyond the number domain,” Trends in Cognitive Sciences, vol. 13, no. 2, pp. 83–91, 2009. View at Publisher · View at Google Scholar · View at Scopus
  57. V. Walsh, “A theory of magnitude: common cortical metrics of time, space and quantity,” Trends in Cognitive Sciences, vol. 7, no. 11, pp. 483–488, 2003. View at Publisher · View at Google Scholar · View at Scopus
  58. J. Henry and L. Phillips, “Covariates of production and perseveration on tests of phonemic, semantic and alternating fluency in normal aging,” Aging, Neuropsychology, and Cognition, vol. 13, no. 3-4, pp. 529–551, 2006. View at Publisher · View at Google Scholar · View at Scopus
  59. G. E. D’Aniello, G. Castelnuovo, and F. Scarpina, “Could cognitive estimation ability be a measure of cognitive reserve?” Frontiers in Psychology, vol. 6, article 608, 2015. View at Publisher · View at Google Scholar · View at Scopus
  60. D. G. Fortune, R. S. Walsh, and H. L. Richards, “Cognitive reserve and preinjury educational attainment: effects on outcome of community-based rehabilitation for longer-term individuals with acquired brain injury,” International Journal of Rehabilitation Research, vol. 39, no. 3, pp. 234–239, 2016. View at Publisher · View at Google Scholar · View at Scopus
  61. A. Miyake, N. P. Friedman, M. J. Emerson, A. H. Witzki, A. Howerter, and T. D. Wager, “The unity and diversity of executive functions and their contributions to complex ‘frontal lobe’ tasks: a latent variable analysis,” Cognitive Psychology, vol. 41, no. 1, pp. 49–100, 2000. View at Publisher · View at Google Scholar · View at Scopus
  62. P. A. R. Gouveia, S. M. D. Brucki, S. M. F. Malheiros, and O. F. A. Bueno, “Disorders in planning and strategy application in frontal lobe lesion patients,” Brain and Cognition, vol. 63, no. 3, pp. 240–246, 2007. View at Publisher · View at Google Scholar · View at Scopus
  63. S. Tornås, M. Lovstad, A.-K. Solbakk et al., “Rehabilitation of executive functions in patients with chronic acquired brain injury with goal management training, external cuing, and emotional regulation: a randomized controlled trial,” Journal of the International Neuropsychological Society, vol. 22, no. 4, pp. 436–452, 2016. View at Publisher · View at Google Scholar · View at Scopus