Normative Data for the Stroop Color Word Test for a North American Population

Background: Cognitive impairment in multiple sclerosis (MS) often involves attentional deficits. The Stroop colour word test, a measure of attention, lacks current normative data for an english-speaking North american MS population. Further some authors suggest the Stroop actually measures processing speed. Objective: To generate normative data for the Stroop colour word test that can be used for a Canadian or North american MS population and to examine the relationship between processing speed tests - the Paced auditory Serial addition Test (PASAT) and Symbol Digit Modalities Test (SDMT) - and the Stroop. Results: Data from 146 healthy subjects aged 18-56 was collected. age was significantly although weakly correlated with general intelligence (r=0.168, p=0.043) assessed with the North american adult Reading Test (NAART), and education (r=-0.313, p<0.001). No demographic variables were associated with SDMT or PASAT. age had a low-moderate negative correlation (r=-0.403, p<0.001) with Stroop scores. The mean (±standard deviation, SD) Stroop score was 45.4(10.4). The z-score can thus be calculated as [(X-45.4)/10.4]. if adjusted for age, Xadj = [X-(-0.47)(age-37.5)] and is substituted for X. in a comparison MS population consisting of 75 randomly selected patients from the MS Cognitive clinic, Stroop and PASAT performance were not related. a relationship existed between Stroop and SDMT scores but only 12.2% of the Stroop score variance was explained by the SDMT. Therefore, the Stroop measures selective attention independently of processing speed. Conclusion: This data can be used to determine impaired attention in MS patients.

[1]  S. Lynch,et al.  Evaluating Processing Speed in Multiple Sclerosis: A Comparison of Two Rapid Serial Processing Measures , 2010, The Clinical neuropsychologist.

[2]  J Foong,et al.  Executive function in multiple sclerosis. The role of frontal lobe pathology. , 1997, Brain : a journal of neurology.

[3]  E. Tangalos,et al.  Free and cued selective reminding test: MOANS norms. , 1997, Journal of clinical and experimental neuropsychology.

[4]  R. Benedict,et al.  Validity of the minimal assessment of cognitive function in multiple sclerosis (MACFIMS) , 2006, Journal of the International Neuropsychological Society.

[5]  Stephen M. Rao,et al.  Sensitivity of conventional memory tests in multiple sclerosis: comparing the Rao Brief Repeatable Neuropsychological Battery and the Minimal Assessment of Cognitive Function in MS , 2009, Multiple sclerosis.

[6]  S. Lynch,et al.  The impact of multiple sclerosis on patients’ performance on the Stroop Test: Processing speed versus interference , 2009, Journal of the International Neuropsychological Society.

[7]  R. Benedict,et al.  Reliability and validity of neuropsychological screening and assessment strategies in MS , 2007, Journal of Neurology.

[8]  S. Rao,et al.  fMRI study of episodic memory in relapsing-remitting MS , 2006, Neurology.

[9]  J. Das Changes in Stroop-Test responses as a function of mental age. , 1970, British Journal of Social and Clinical Psychology.

[10]  E. Tangalos,et al.  Neuropsychological tests' norms above age 55: COWAT, BNT, MAE token, WRAT-R reading, AMNART, STROOP, TMT, and JLO , 1996 .

[11]  Stephen M. Rao,et al.  Neuropsychology of multiple sclerosis. , 1995, Current opinion in neurology.

[12]  Jonathan T. Mall,et al.  Goal-neglect links Stroop interference with working memory capacity. , 2012, Acta psychologica.

[13]  L. Martí-Bonmatí,et al.  Spectroscopic axonal damage of the right locus coeruleus relates to selective attention impairment in early stage relapsing-remitting multiple sclerosis. , 2004, Brain : a journal of neurology.

[14]  M. Filippi,et al.  Structural and functional MRI correlates of Stroop control in benign MS , 2009, Human brain mapping.

[15]  O. Spreen,et al.  A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary , 1991 .

[16]  Ralph H B Benedict,et al.  Minimal Neuropsychological Assessment of MS Patients: A Consensus Approach , 2002, The Clinical neuropsychologist.

[17]  J. Ridley Studies of Interference in Serial Verbal Reactions , 2001 .

[18]  O. Spreen,et al.  Predicting premorbid IQ: A revision of the national adult reading test , 1989 .

[19]  B. Weinstock-Guttman,et al.  Repeated assessment of neuropsychological deficits in multiple sclerosis using the Symbol Digit Modalities Test and the MS Neuropsychological Screening Questionnaire , 2008, Multiple sclerosis.

[20]  A. Richards,et al.  Stroop interference and negative priming in patients with multiple sclerosis , 2002, Neuropsychologia.

[21]  P. Graf,et al.  Color-Word Stroop test performance across the adult life span. , 1997, Journal of clinical and experimental neuropsychology.

[22]  Colin M. Macleod,et al.  Interdimensional interference in the Stroop effect: uncovering the cognitive and neural anatomy of attention , 2000, Trends in Cognitive Sciences.

[23]  P. Graf,et al.  Color- and picture-word Stroop tests: performance changes in old age. , 1995, Journal of clinical and experimental neuropsychology.

[24]  M Rovaris,et al.  Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis , 1998, Neurology.

[25]  Christie Golden,et al.  Stroop Color and Word Test: Manual for Clinical and Experimental Uses. , 1978 .

[26]  Stephen M. Rao,et al.  Cognitive dysfunction in multiple sclerosis. , 1991, Neurology.

[27]  F. Munschauer,et al.  Screening for cognitive impairment in multiple sclerosis using the Symbol Digit Modalities Test , 2007, Multiple sclerosis.

[28]  R. Benedict,et al.  Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis , 2003, Multiple sclerosis.

[29]  H. Werner,et al.  Interference effects of Stroop color-word test in childhood, adulthood, and aging. , 1962, The Journal of genetic psychology.

[30]  R. Stein,et al.  Stroop color-word performance of African Americans , 1997 .

[31]  N. Larocca,et al.  The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. , 1989, Archives of neurology.

[32]  L. Bieliauskas,et al.  Introduction to the Special Edition: IQ-Based MOANS Norms for Multiple Neuropsychological Instruments , 2005, The Clinical neuropsychologist.

[33]  Yamna Satgunasingam Executive function in Multiple Sclerosis , 2003 .

[34]  J. Stroop Studies of interference in serial verbal reactions. , 1992 .

[35]  Linas A. Bieliauskas,et al.  Mayo's Older Americans Normative Studies: Age- and IQ-Adjusted Norms for the Trail-Making Test, the Stroop Test, and MAE Controlled Oral Word Association Test , 2005, The Clinical neuropsychologist.

[36]  S. Reingold,et al.  The Multiple Sclerosis Functional Composite measure (MSFC): an integrated approach to MS clinical outcome assessment , 1999, Multiple sclerosis.

[37]  Robert T. Knight,et al.  Top-down Enhancement and Suppression of the Magnitude and Speed of Neural Activity , 2005, Journal of Cognitive Neuroscience.

[38]  S. Lynch,et al.  Rapid serial processing in patients with multiple sclerosis: The role of peripheral deficits , 2008, Journal of the International Neuropsychological Society.

[39]  S. Lynch,et al.  Cognitive aging in patients with multiple sclerosis: a cross-sectional analysis of speeded processing. , 2009, Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists.

[40]  Colin M. Macleod Half a century of research on the Stroop effect: an integrative review. , 1991, Psychological bulletin.

[41]  L. Kappos,et al.  Evaluation of the symbol digit modalities test (SDMT) and MS neuropsychological screening questionnaire (MSNQ) in natalizumab-treated MS patients over 48 weeks , 2010, Multiple sclerosis.