Hostname: page-component-8448b6f56d-qsmjn Total loading time: 0 Render date: 2024-04-24T11:53:36.778Z Has data issue: false hasContentIssue false

The Brixton Spatial Anticipation Test as a test for executive function: Validity in patient groups and norms for older adults

Published online by Cambridge University Press:  01 September 2009

ESTHER VAN DEN BERG*
Affiliation:
Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands
GUDRUN M. S. NYS
Affiliation:
Laboratory for Neuropsychology, Department of Neurology, Ghent University, Ghent, Belgium
AUGUSTINA M. A. BRANDS
Affiliation:
Neuropsychology, Zuwe Hofpoort/Regional Psychiatric Center, Woerden, The Netherlands Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
CARLA RUIS
Affiliation:
Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
MARTINE J. E. VAN ZANDVOORT
Affiliation:
Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
ROY P. C. KESSELS
Affiliation:
Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands Donders Institute for BrainCognition, and Behavior, Radboud University Nijmegen, Nijmegen, The Netherlands Departments of Medical Psychology and Geriatrics, Radboud University, Nijmegen Medical Center, Nijmegen, The Netherlands
*
*Correspondence and reprint requests: Esther van den Berg, University Medical Center Utrecht, Department of Neurology G03.228, P.O. Box 85500, 3508 GA Utrecht, The Netherlands. E-mail: e.vandenberg-6@umcutrecht.nl

Abstract

Impairments in executive functioning frequently occur after acquired brain damage, in psychiatric disorders, and in relation to aging. The Brixton Spatial Anticipation Test is a relatively new measure for assessing the ability to detect and follow a rule, an important aspect of executive functioning. To date, normative data on this task are limited, particularly concerning the elderly. This study presents age- and education-adjusted regression-based norms obtained in a group of healthy older participants (n = 283; mean age 67.4 ± 8.5 years). The applicability and validity of these norms were further examined in different groups of patients with stroke (n = 106), diabetes mellitus (n = 376), MCI/early dementia (n = 70), psychiatric disorders (n = 63), and Korsakoff’s syndrome (n = 41). The results showed that patients with Korsakoff’s syndrome, stroke, and psychiatric disorders performed significantly worse than healthy controls. Test-retest correlation (n = 83), learning effects, and correlations with other neuropsychological tests were also explored. Based on the present study, the Brixton test appears a useful addition to existing measures of executive functioning. Moreover, the test can be reliably applied in different groups of clinical patients. (JINS, 2009, 15, 695–703.)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Andres, P., & Van der Linden, M. (2000). Age-related differences in supervisory attentional system functions. Journal of Gerontology, Series B: Psychological Sciences and Social Sciences, 55, 373380.CrossRefGoogle ScholarPubMed
Ashendorf, L., Jefferson, A.L., O’Connor, M.K., Chaisson, C., Green, R.C., & Stern, R.A. (2008). Trail Making Test errors in normal aging, mild cognitive impairment, and dementia. Archives of Clinical Neuropsychology, 23, 129137.Google ScholarPubMed
Awad, N., Gagnon, M., & Messier, C. (2004). The relationship between impaired glucose tolerance, type 2 diabetes, and cognitive function. Journal of Clinical and Experimental Neuropsychology, 26, 10441080.CrossRefGoogle ScholarPubMed
Bielak, A.A., Mansueti, L., Strauss, E., & Dixon, R.A. (2006). Performance on the Hayling and Brixton tests in older adults: Norms and correlates. Archives of Clinical Neuropsychology, 21, 141149.CrossRefGoogle ScholarPubMed
Blake, H., McKinney, M., Treece, K., Lee, E., & Lincoln, N.B. (2002). An evaluation of screening measures for cognitive impairment after stroke. Age and Ageing, 31, 451456.CrossRefGoogle ScholarPubMed
Brands, A.M., Biessels, G.J., De Haan, E.H., Kappelle, L.J., & Kessels, R.P. (2005). The effects of type 1 diabetes on cognitive performance: A meta-analysis. Diabetes Care, 28, 726735.CrossRefGoogle ScholarPubMed
Brands, A.M., van den Berg, E., Manschot, S.M., Biessels, G.J., Kappelle, L.J., De Haan, E.H., & Kessels, R.P. (2007). A detailed profile of cognitive dysfunction and its relation to psychological distress in patients with type 2 diabetes mellitus. Journal of the International Neuropsychological Society, 13, 288297.CrossRefGoogle ScholarPubMed
Brennan, M., Welsh, M.C., & Fisher, C.B. (1997). Aging and executive function skills: An examination of a community-dwelling older adult population. Perceptual and Motor Skills, 84, 11871197.CrossRefGoogle ScholarPubMed
Burgess, P.W., Alderman, N., Evans, J., Emslie, H., & Wilson, B.A. (1998). The ecological validity of tests of executive function. Journal of the International Neuropsychological Society, 4, 547558.CrossRefGoogle ScholarPubMed
Burgess, P.W., & Shallice, T. (1997). The Hayling and Brixton Tests. Thurston, UK: Thames Valley Test Company.Google Scholar
Chan, R.C., Shum, D., Toulopoulou, T., & Chen, E.Y. (2008). Assessment of executive functions: Review of instruments and identification of critical issues. Archives of Clinical Neuropsychology, 23, 201216.CrossRefGoogle ScholarPubMed
Channon, S., & Green, P.S. (1999). Executive function in depression: The role of performance strategies in aiding depressed and non-depressed participants. Journal of Neurology, Neurosurgery and Psychiatry, 66, 162171.CrossRefGoogle ScholarPubMed
Cummings, J.L. (1995). Anatomic and behavioral aspects of frontal-subcortical circuits. Annals of the New York Academy of Sciences, 769, 113.CrossRefGoogle ScholarPubMed
de Frias, C.M., Dixon, R.A., & Strauss, E. (2006). Structure of four executive functioning tests in healthy older adults. Neuropsychology, 20, 206214.CrossRefGoogle ScholarPubMed
Duff, K., Schoenberg, M.R., Scott, J.G., & Adams, R.L. (2005). The relationship between executive functioning and verbal and visual learning and memory. Archives of Clinical Neuropsychology, 20, 111122.CrossRefGoogle ScholarPubMed
Fastenau, P.S. (1998). Validity of regression-based norms: An empirical test of the comprehensive norms with older adults. Journal of Clinical and Experimental Neuropsychology, 20, 906916.CrossRefGoogle ScholarPubMed
Gohier, B., Ferracci, L., Surguladze, S.A., Lawrence, E., El, H.W., Kefi, M.Z., et al. . (2009). Cognitive inhibition and working memory in unipolar depression. Journal of Affective Disorders, 116, 100105.CrossRefGoogle ScholarPubMed
Heaton, R.K. (1981). Wisconsin Card Sorting Test. Odessa, FL: Psychological Assessment Resources.Google Scholar
Heaton, R.K., Chelune, G.J., Talley, J.L., & Kay, G.G. (1993). Wisconsin Card Sorting Test (WCST) manual, revised and expanded. Odessa, FL: Psychological Assessment Resources.Google Scholar
Heaton, R.K., Avitable, N., Grant, I., & Matthews, C.G. (1999). Further crossvalidation of regression-based neuropsychological norms with an update for the Boston Naming Test. Journal of Clinical and Experimental Neuropsychology, 21, 572582.CrossRefGoogle ScholarPubMed
Hochstenbach, J., Mulder, T., van Limbeek, L.J., Donders, R., & Schoonderwaldt, H. (1998). Cognitive decline following stroke: A comprehensive study of cognitive decline following stroke. Journal of Clinical and Experimental Neuropsychology, 20, 503517.CrossRefGoogle ScholarPubMed
Hutton, S.B., Puri, B.K., Duncan, L.J., Robbins, T.W., Barnes, T.R., & Joyce, E.M. (1998). Executive function in first-episode schizophrenia. Psychological Medicine, 28, 463473.CrossRefGoogle ScholarPubMed
Jelicic, M., Henquet, C.E., Derix, M.M., & Jolles, J. (2001). Test-retest stability of the behavioural assessment of the dysexecutive syndrome in a sample of psychiatric patients. International Journal of Neuroscience, 110, 7378.CrossRefGoogle Scholar
Kerns, J.G., Nuechterlein, K.H., Braver, T.S., & Barch, D.M. (2008). Executive functioning component mechanisms and schizophrenia. Biological Psychiatry, 64, 2633.CrossRefGoogle ScholarPubMed
Kessels, R.P., Kortrijk, H.E., Wester, A.J., & Nys, G.M. (2008). Confabulation behavior and false memories in Korsakoff’s syndrome: Role of source memory and executive functioning. Psychiatry and Clinical Neurosciences, 62, 220225.CrossRefGoogle ScholarPubMed
Kopelman, M.D. (2002). Disorders of memory. Brain, 125, 21522190.CrossRefGoogle ScholarPubMed
Levinoff, E.J., Phillips, N.A., Verret, L., Babins, L., Kelner, N., Akerib, V., & Chertkow, H. (2006). Cognitive estimation impairment in Alzheimer disease and mild cognitive impairment. Neuropsychology, 20, 123132.CrossRefGoogle ScholarPubMed
Lezak, M.D., Howieson, D.B., & Loring, D.W. (2004). Neuropsychological Assessment (4th ed.). New York: Oxford University Press.Google Scholar
Nys, G.M., Van Zandvoort, M.J., De Kort, P.L., Jansen, B.P., Van der Worp, H.B., Kappelle, L.J., & De Haan, E.H. (2005). Domain-specific cognitive recovery after first-ever stroke: A follow-up study of 111 cases. Journal of the International Neuropsychological Society, 11, 795806.CrossRefGoogle ScholarPubMed
Odhuba, R.A., van den Broek, M.D., & Johns, L.C. (2005). Ecological validity of measures of executive functioning. British Journal of Clinical Psychology, 44, 269278.CrossRefGoogle ScholarPubMed
Oslin, D., Atkinson, R.M., Smith, D.M., & Hendrie, H. (1998). Alcohol related dementia: Proposed clinical criteria. International Journal of Geriatric Psychiatry, 13, 203212.3.0.CO;2-B>CrossRefGoogle ScholarPubMed
Petersen, R.C., Smith, G.E., Waring, S.C., Ivnik, R.J., Tangalos, E.G., & Kokmen, E. (1999). Mild cognitive impairment: Clinical characterization and outcome. Archives of Neurology, 56, 303308.CrossRefGoogle ScholarPubMed
Reed, L.J., Lasserson, D., Marsden, P., Stanhope, N., Stevens, T., Bello, F., et al. . (2003). FDG-PET findings in the Wernicke-Korsakoff syndrome. Cortex, 39, 10271045.CrossRefGoogle ScholarPubMed
Reitan, R. (1956). Trail Making Test: Manual for administration, scoring, and interpretation. Bloomington, IN: Indiana University Press.Google Scholar
Reverberi, C., Lavaroni, A., Gigli, G.L., Skrap, M., & Shallice, T. (2005). Specific impairments of rule induction in different frontal lobe subgroups. Neuropsychologia, 43, 460472.CrossRefGoogle ScholarPubMed
Rochester, L., Hetherington, V., Jones, D., Nieuwboer, A., Willems, A.M., Kwakkel, G., & Van, W.E. (2004). Attending to the task: Interference effects of functional tasks on walking in Parkinson’s disease and the roles of cognition, depression, fatigue, and balance. Archives of Physical Medicine and Rehabilitation, 85, 15781585.CrossRefGoogle Scholar
Rochester, L., Hetherington, V., Jones, D., Nieuwboer, A., Willems, A.M., Kwakkel, G., & Van, W.E. (2005). The effect of external rhythmic cues (auditory and visual) on walking during a functional task in homes of people with Parkinson’s disease. Archives of Physical Medicine and Rehabilitation, 86, 9991006.CrossRefGoogle ScholarPubMed
Sandbaek, A., Griffin, S.J., Rutten, G., Davies, M., Stolk, R., Khunti, K., et al. . (2008). Stepwise screening for diabetes identifies people with high but modifiable coronary heart disease risk. The ADDITION study. Diabetologia, 51, 11271134.CrossRefGoogle ScholarPubMed
Schmand, B., Lindenboom, J., & Van Harskamp, F. (1992). Nederlandse leestest voor volwassenen. Lisse, NL: Swets & Zeitlinger.Google Scholar
Shallice, T. (1982). Specific impairments of planning. Philosophical Transactions of the Royal Society B: Biological Sciences, 298, 199209.Google ScholarPubMed
Shallice, T., Marzocchi, G.M., Coser, S., Del, S.M., Meuter, R.F., & Rumiati, R.I. (2002). Executive function profile of children with attention deficit hyperactivity disorder. Developmental Neuropsychology, 21, 4371.CrossRefGoogle ScholarPubMed
Strauss, E., Sherman, E.M.S., & Spreen, O. (2006). A compendium of neuropsychological tests (3rd ed.) New York: Oxford University Press.Google Scholar
Tchanturia, K., Anderluh, M.B., Morris, R.G., Rabe-Hesketh, S., Collier, D.A., Sanchez, P., & Treasure, J.L. (2004). Cognitive flexibility in anorexia nervosa and bulimia nervosa. Journal of the International Neuropsychological Society, 10, 513520.CrossRefGoogle ScholarPubMed
van Breukelen, G.J., & Vlaeyen, J.W. (2005). Norming clinical questionnaires with multiple regression: The Pain Cognition List. Psychological Assessment, 17, 336344.CrossRefGoogle ScholarPubMed
van den Berg, E., Dekker, J.M., Nijpels, G., Kessels, R.P., Kappelle, L.J., De Haan, E.H., et al. . (2008). Cognitive functioning in elderly persons with type 2 diabetes and metabolic syndrome: The Hoorn study. Dementia and Geriatric Cognitive Disorders, 26, 261269.CrossRefGoogle ScholarPubMed
van der Elst, W., van Boxtel, M.P., van Breukelen, G.J., & Jolles, J. (2005). Rey’s verbal learning test: Normative data for 1855 healthy participants aged 24–81 years and the influence of age, sex, education, and mode of presentation. Journal of the International Neuropsychological Society, 11, 290302.CrossRefGoogle ScholarPubMed
Vataja, R., Pohjasvaara, T., Mantyla, R., Ylikoski, R., Leppavuori, A., Leskela, M., et al. . (2003). MRI correlates of executive dysfunction in patients with ischaemic stroke. European Journal of Neurology, 10, 625631.CrossRefGoogle ScholarPubMed
Verhage, F. (1964). Intelligence and age (in Dutch). Assen, NL: van Gorcum.Google Scholar
Wilson, B.A., Alderman, N., Burgess, P.W., Emslie, H., & Evans, J.J., (1996). Behavioural Assessment of the Dysexecutive Syndrome. Bury St. Edmunds, UK: Thames Valley Test Company.Google Scholar
Wood, R.L., & Liossi, C. (2007). The relationship between general intellectual ability and performance on ecologically valid executive tests in a severe brain injury sample. Journal of the International Neuropsychological Society, 13, 9098.CrossRefGoogle Scholar