Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-24T01:56:58.174Z Has data issue: false hasContentIssue false
  • English
  • Français

Criterion Validity of the Delis-Kaplan Executive Function System (D-KEFS) Fluency Subtests After Traumatic Brain Injury

Published online by Cambridge University Press:  02 December 2010

Carrie-Ann H. Strong ,
David Tiesma  and
Jacobus Donders
Carrie-Ann H. Strong
Affiliation:
Psychology Service, Mary Free Bed Rehabilitation Hospital, Grand Rapids, Michigan
David Tiesma
Affiliation:
Department of Psychology, Calvin College, Grand Rapids, Michigan
Jacobus Donders*
Affiliation:
Psychology Service, Mary Free Bed Rehabilitation Hospital, Grand Rapids, Michigan
*
Correspondence and reprint requests to: Jacobus Donders, Psychology Service, Mary Free Bed Rehabilitation Hospital, 235 Wealthy S. E., Grand Rapids, MI, 49503. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The performance of 65 patients with complicated mild–severe traumatic brain injury was evaluated on the Verbal and Design Fluency subtests of the Delis-Kaplan Executive Function System (D-KEFS), and compared with that of 65 demographically matched healthy controls. There were statistically significant group differences on Letter Fluency and Category Switching but not on any of the Design Fluency tasks. Combined, these two Verbal Fluency subtests had a classification accuracy of 65.39%, associated with a likelihood ratio of 1.87. The impact of length of coma on Letter Fluency performance but not Category Switching was mediated at least in part by processing speed. The findings suggest modest criterion validity of some of the D–KEFS Verbal Fluency subtests in the assessment of patients with complicated mild–severe traumatic brain injury. (JINS, 2011, 17, 230–237)

Keywords

Neuropsychological assessmentExecutive functioningVerbal fluencyDesign fluencyClassification accuracyClinical utility
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 17 , Issue 2 , 28 February 2011 , pp. 230 - 237
Copyright
Copyright © The International Neuropsychological Society 2010

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

Anderson, P. (2008). Towards a developmental model of executive function. In V. Anderson, R. Jacobs, & P. Anderson (Eds.), Executive functions and the frontal lobes. New York, NY: Taylor and Francis.Google Scholar
Anderson, C.V., Bigler, E.D., Blatter, D.D. (1995). Frontal lobe lesions, diffuse damage, and neuropsychological functioning in traumatic brain-injured patients. Journal of Experimental and Clinical Neuropsychology, 17, 900–908.Google Scholar
Anderson, S.W., Damasio, H., Jones, R.D., Tranel, D. (1991). Wisconsin Card Sorting Test performance as a measure of frontal lobe damage. Journal of Clinical and Experimental Neuropsychology, 13, 909–922.Google Scholar
Baldo, J.V., Shimamura, A.P., Delis, D.C., Kramer, J., Kaplan, E. (2001). Verbal and design fluency in patients with frontal lobe lesions. Journal of the International Neuropsychological Society, 7, 586–596.CrossRefGoogle ScholarPubMed
Bittner, R.M., Crowe, S.F. (2007). The relationship between working memory, processing speed, verbal comprehension and FAS performance following traumatic brain injury. Brain Injury, 21, 709–719.CrossRefGoogle ScholarPubMed
Crawford, M.A., Knight, R.G., Alsop, B.L. (2007). Speed of word retrieval in postconcussion syndrome. Journal of the International Neuropsychological Society, 13, 178–182.CrossRefGoogle ScholarPubMed
Delis, D.C., Kaplan, E., Kramer, J.H. (2001). Delis-Kaplan Executive Function System. San Antonio, TX: The Psychological Corporation.Google Scholar
Downes, J., Sharp, H., Costall, B., Sagar, H., Howe, J. (1993). Alternating fluency in Parkinson's disease. An evaluation of the attentional control theory of cognitive impairment. Brain, 116, 887–902.CrossRefGoogle ScholarPubMed
Green, P. (2003). Green's Word Memory Test. Edmonton, AL: Green's Publishing.Google Scholar
Grimes, D.A., Schulz, K.F. (2005). Refining clinical diagnoses with likelihood ratios. Lancet, 365, 1500–1505.CrossRefGoogle ScholarPubMed
Hanks, R.A., Millis, S.R., Ricker, J.H., Giacino, J.T., Nakese-Richardson, R., Frol, A.B., Gordon, W.A. (2008). The predictive validity of a brief inpatient neuropsychologic battery for persons with traumatic brain injury. Archives of Physical Medicine and Rehabilitation, 89, 950–957.Google Scholar
Heaton, R.K., Chelune, G.J., Talley, J.L., Kay, G.G., Curtiss, G. (1993). Wisconsin Card Sorting Test Manual: Revised and expanded. Odessa, FL: Psychological Assessment Resources.Google Scholar
Henry, J.D., Crawford, J.R. (2004). A meta-analytic review of verbal fluency in patients with traumatic brain injury. Neuropsychology, 18, 621–628.CrossRefGoogle ScholarPubMed
Houston, W.S., Delis, D.C., Lansing, A., Jacobson, M.W., Cobell, K.R., Salmon, D.P., Bondi, M.W. (2005). Executive function asymmetry in older adults genetically at-risk for Alzheimer's disease: Verbal versus design fluency. Journal of the International Neuropsychological Society, 11, 863–870.Google Scholar
Iverson, G.L. (2005). Outcome from mild traumatic brain injury. Current Opinions in Psychiatry, 18, 301–317.CrossRefGoogle ScholarPubMed
Judy, P.A., Possin, K.L., Wilson, S.W., Quitania, L.C., Kramer, J.L., Boxer, A.L., Johnson, J.K. (2010). Gray matter correlates of set-shifting among neurodegenerative disease, mild cognitive impairment, and healthy older adults. Journal of the International Neuropsychological Society, 16, 640–650.Google Scholar
Jurado, M.A., Mataro, M., Verger, K., Bartumeus, F., Junque, C. (2000). Phonemic and semantic fluencies in traumatic brain injury patients with focal frontal lesions. Brain Injury, 14, 789–795.Google Scholar
Kramer, J.H., Quitania, L., Dean, D., Neuhaus, J., Rosen, H.J., Halabi, C., Miller, B.L. (2007). Magnetic resonance imaging correlates of set shifting. Journal of the International Neuropsychological Society, 13, 386–392.Google Scholar
Leblanc, J., De Guise, E., Feyz, M., Lamoureux, J. (2006). Early prediction of language impairment following traumatic brain injury. Brain Injury, 20, 1391–1401.Google Scholar
Lucas, J.A., Addeo, R. (2006). Traumatic brain injury and post-concussion syndrome. In P.D. Snyder, P.D. Nussbaum, & D.L. Robins (Eds.), Clinical neuropsychology: A pocket handbook (pp. 351–380). Washington DC: American Psychological Association.CrossRefGoogle Scholar
Manchester, D., Priestley, N., Jackson, H. (2004). The assessment of executive functions: Coming out of the office. Brain Injury, 18, 1067–1081.CrossRefGoogle ScholarPubMed
Mathias, J.L., Beall, J.A., Bigler, E.D. (2004). Neuropsychological and information processing deficits following mild traumatic brain injury. Journal of the International Neuropsychological Society, 10, 286–297.Google Scholar
McDonald, S. (2008). Social information processing difficulties in adults and implications for treatment. In V. Anderson, R. Jacobs, & P. Anderson (Eds.), Executive functions and the frontal lobes. New York, NY: Taylor and Francis.Google Scholar
Milders, M., Fuchs, S., Crawford, J.R. (2003). Neuropsychological impairments and changes in emotional and social behavior following severe traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 25, 157–172.Google Scholar
Milders, M., Ietswaart, M., Crawford, J.R., Currie, D. (2006). Impairment in theory of mind shortly after traumatic brain injury and at 1-year follow-up. Neuropsychology, 20, 400–408.Google Scholar
Miller, L.M., Donders, J. (2003). Prediction of educational outcome after pediatric traumatic brain injury. Rehabilitation Psychology, 48, 237–241.CrossRefGoogle Scholar
Mitchell, M., Miller, L.S. (2008). Prediction of functional status in older adults: The ecological validity of four Delis-Kaplan Executive Function System tests. Journal of Clinical and Experimental Neuropsychology, 30, 683–690.Google Scholar
Nemoto, T., Mizuno, M., Kashima, H. (2005). Qualitative evaluation of divergent thinking in patients with schizophrenia. Behavioral Neurology, 16, 217–224.CrossRefGoogle ScholarPubMed
Nyhus, E., Barcelo, F. (2009). The Wisconsin Card Sorting Test and the assessment of prefrontal functions: A critical update. Brain and Cognition, 71, 437–451.Google Scholar
Ord, J.S., Greve, K.W., Bianchini, K.J., Aguerrevere, L.E. (2010). Executive dysfunction in traumatic brain injury: The effects of injury severity and effort on the Wisconsin Card Sorting Test. Journal of Clinical and Experimental Neuropsychology, 32, 132–140.Google Scholar
Razani, J., Casas, R., Wong, J.T., Lu, P., Mendez, M., Alessi, C., Josephson, K. (2007). The relationship between executive functioning and activities of daily living in patients with relatively mild dementia. Applied Neuropsychology, 14, 208–214.CrossRefGoogle ScholarPubMed
Regard, M., Strauss, E., Knapp, P. (1982). Children's production on verbal and non-verbal fluency tasks. Perceptual and Motor Skills, 55, 839–844.Google Scholar
Reitan, R.M., Wolfson, D. (1993). The Halstead-Reitan neuropsychological test battery (2nd ed.). Tucson, AZ: Neuropsychology Press.Google Scholar
Ruff, R.M. (1988). Ruff figural fluency. Lake Odessa, FL: Psychological Assessment Resources.Google Scholar
Schretlen, D.J., Shapiro, A.M. (2003). A quantitative review of the effects of traumatic brain injury on cognitive functioning. International Review of Psychiatry, 15, 341–349.Google Scholar
Sherrill-Pattison, S., Donders, J., Thompson, E. (2000). Influence of demographic variables on neuropsychological test performance after traumatic brain injury. The Clinical Neuropsychologist, 14, 496–503.Google Scholar
Sigurdardottir, S., Jerstad, T., Andelic, N., Roe, C., Schanke, A.K. (2010). Olfactory dysfunction, gambling task performance, and intracranial lesions after traumatic brain injury. Neuropsychology, 24, 504–513.Google Scholar
Strong, C.A.H., Donders, J. (2008). Validity of the Continuous Visual Memory Test (CVMT) after traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 30, 885–891.Google Scholar
Stuss, D.T., Alexander, M.P. (2000). Executive functions and the frontal lobes: A conceptual view. Psychological Research, 63, 289–298.Google Scholar
Tombaugh, T.N. (1996). Test of memory malingering. Toronto, ON: Multi-Health Systems.Google Scholar
Trahan, D.E., Larrabee, G.J. (1988). Continuous Visual Memory Test. Odessa, FL: Psychological Assessment Resources.Google Scholar
Wechsler, D. (1997). Wechsler Adult Intelligence Scale-Third Edition. San Antonio, TX: Psychological Corporation.Google Scholar
Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence. San Antonio, TX: Psychological Corporation.Google Scholar
Wecker, N.S., Kramer, J.H., Hallam, B.J., Delis, D.C. (2005). Mental flexibility: Age effects on switching. Neuropsychology, 19, 345–352.CrossRefGoogle ScholarPubMed
Wiegner, S., Donders, J. (1999). Performance on the Wisconsin Card Sorting Test after traumatic brain injury. Assessment, 6, 179–187.Google Scholar