How patients with multiple sclerosis perceive cognitive slowing

Clinical Neuropsychologist

Volumn 26, Issue 8, 2012, Pages 1278-1295

  Roberg, Brandon L ^a   Bruce, Jared M ^a   Lovelace, Chris T ^b   Lynch, Sharon ^c  

^a UNIVERSITY OF MISSOURI KANSAS CITY   (United States)

^b SHEPHERD UNIVERSITY   (United States)

^c UNIVERSITY OF KANSAS SCHOOL OF MEDICINE   (United States)

Author keywords

Anxiety; Cognitive rehabilitation; Motor functioning; Multiple sclerosis; Processing speed; Self report

Indexed keywords

ANXIETY; ARTICLE; COGNITIVE DEFECT; FEMALE; HUMAN; MALE; MENTAL FUNCTION; MIDDLE AGED; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TEST; PATHOPHYSIOLOGY; PHYSIOLOGY; PSYCHOLOGICAL ASPECT; PSYCHOLOGICAL RATING SCALE; PSYCHOMOTOR PERFORMANCE; SELF CONCEPT;

ANXIETY; COGNITION DISORDERS; FEMALE; HUMANS; MALE; MENTAL PROCESSES; MIDDLE AGED; MULTIPLE SCLEROSIS; NEUROPSYCHOLOGICAL TESTS; PSYCHIATRIC STATUS RATING SCALES; PSYCHOMOTOR PERFORMANCE; SELF CONCEPT;

EID: 84870591519     PISSN: 13854046     EISSN: 17444144     Source Type: Journal    
DOI: 10.1080/13854046.2012.733413     Document Type: Article

References (64)

1. Archibald, C, and, Fisk, J. 2000. Information processing efficiency in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 22: 686-701.
2. Arnett, PA, Smith, MM, Barwick, FH, Benedict, RB, and, Ahlstrom, BP. 2008. Oralmotor slowing in multiple sclerosis: Relationship to neuropsychological tasks requiring an oral response. Journal of the International Neuropsychological Society, 14: 454-462. (Pubitemid 351560441)
3. Beck, AT, Steer, RA, and, Brown, GK. 2000. BDI-Fast Screen for medical patients manual, San Antonio, TX: The Psychological Corporation.
4. Benedict, R, and, Bobholz, J. 2007. Multiple sclerosis. Seminars in Neurology, 27: 78-85. (Pubitemid 46239042)
5. Benedict, R, Fishman, I, McClellan, M, Bakshi, R, and, Weinstock-Guttman, B. 2003. Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis. Multiple Sclerosis, 9: 393-396. (Pubitemid 36958023)
6. Benedict, R, Munschauer, F, Linn, R, Miller, C, Murphy, E, Foley, F, and, Jacobs, L. 2003. Screening for multiple sclerosis cognitive impairment using a self-administered 15-item questionnaire. Multiple Sclerosis, 9: 95-101. (Pubitemid 36253703)
7. Benton, AL, and, Hamsher, K. 1976. Multilingual Aphasia Examination Manual, Iowa City, IA: University of Iowa.
8. Bruce, J, and, Arnett, P. 2004. Self-reported everyday memory and depression in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 26: 200-214. (Pubitemid 38429312)
9. Bruce, J, and, Arnett, P. 2009. Clinical correlates of generalized worry in multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 31: 698-705.
10. Bruce, J, Bruce, A, and, Arnett, P. 2010. Response variability is associated with self-reported cognitive fatigue in multiple sclerosis. Neuropsychology, 24: 77-83.
11. Bruce, J, Bruce, A, Hancock, L, and, Lynch, S. 2010. Self-reported memory problems in multiple sclerosis: Influence of psychiatric status and normative dissociative experiences. Archives of Clinical Neuropsychology: The Official Journal of the National Academy of Neuropsychologists, 25: 39-48.
12. Bruce, J, Hancock, L, and, Lynch, S. 2010. Objective adherence monitoring in multiple sclerosis: initial validation and association with self-report. Multiple Sclerosis, 16: 112-120.
13. Bruce, J, Polen, D, and, Arnett, P. 2007. Pain and affective memory biases interact to predict depressive symptoms in multiple sclerosis. Multiple Sclerosis, 13: 58-66. (Pubitemid 46152762)
14. Bruce, JM, and, Arnett, PA. 2005. MS patients with depressive symptoms exhibit affective memory biases when verbal encoding strategies are suppressed. Journal of the International Neuropsychological Society, 11: 514-521. (Pubitemid 41478984)
15. Chang, C, Nyenhuis, D, Cella, D, Luchetta, T, Dineen, K, and, Reder, A. 2003. Psychometric evaluation of the Chicago Multiscale Depression Inventory in multiple sclerosis patients. Multiple Sclerosis, 9: 160-170. (Pubitemid 36426991)
16. Cheng, H, and, Furnham, A. 2003. Personality, self-esteem, and demographic predictions of happiness and depression. Personality and Individual Differences, 34: 921-942. (Pubitemid 36288792)
17. Chiaravalloti, ND, Christodoulou, C, Demaree, HA, and, DeLuca, J. 2003. Differentiating simple versus complex processing speed: Influence on new learning and memory performance. Journal of Clinical and Experimental Neuropsychology, 25: 489-501. (Pubitemid 36605765)
18. Christodoulou, C, Melville, P, Scheri, WF, Morgan, T, MacAllister, WS, Canfora, DM, Krupp, LB. 2005. Perceived cognitive dysfunction and observed neuropsychological performance: Longitudinal relation in persons with multiple sclerosis. Journal of the International Neuropsychological Society, 11: 614-619. (Pubitemid 41478995)
19. Cohen, S, Janicki-Deverts, D, Crittenden, C, and, Sneed, R. 2012. Personality and human immunity. In The Oxford handbook of psychoneuroimmunology, Edited by: Segerstrom, S. 214-233. New York: Oxford University Press.
20. Conners, KC. 2004. Conners Continuous Performance Test, 2nd, Toronto, Canada: Multi Health Systems.
21. Costa, PT, and, McCrae, RR. 1992. Professional manual for the NEO PI-R and NEO- FFI, Odessa, FL: Psychological Assessment Resources.
22. Cutter, GR, Baier, ML, Rudick, RA, Cookfair, DL, Fischer, JS, Petkau, J, Willoughby, E. 1999. Development of a multiple sclerosis functional composite as a clinical trial outcome measure. Brain, 122: 871-882. (Pubitemid 29219261)
23. DeLuca, J, Chelune, G, Tulsky, D, Lengenfelder, J, and, Chiaravalloti, N. 2004. Is speed of processing or working memory the primary information processing deficit in multiple sclerosis?. Journal of Clinical and Experimental Neuropsychology, 26: 550-562. (Pubitemid 39318348)
24. Denney, D, Lynch, S, Parmenter, B, and, Horne, N. 2004. Cognitive impairment in relapsing and primary progressive multiple sclerosis: Mostly a matter of speed. Journal of the International Neuropsychological Society, 10: 948-956.
25. Denney, DR, and, Lynch, SG. 2009. The impact of multiple sclerosis on patients performance on the Stroop Test: Processing speed versus interference. Journal of the International Neuropsychological Society, 15: 451-458.
26. Denney, DR, Sworowski, LA, and, Lynch, SG. 2005. Cognitive impairment in three subtypes of multiple sclerosis. Archives of Clinical Neuropsychology, 20: 967-981. (Pubitemid 41642935)
27. Drew, MA, Starkey, NJ, and, Isler, RB. 2009. Examining the link between information processing speed and executive functioning in multiple sclerosis. Archives of Clinical Neuropsychology, 24: 47-58.
28. Duquin, J, Parmenter, BA, and, Benedict, RB. 2008. Influence of recruitment and participation bias in neuropsychological research among MS patients. Journal of the International Neuropsychological Society, 14: 494-498. (Pubitemid 351560445)
29. Fisk, J, Pontefract, A, Ritvo, P, Archibald, C, and, Murray, T. 1994. The impact of fatigue on patients with multiple sclerosis. The Canadian Journal of Neuropsychological Science, 21: 9-14. (Pubitemid 24090744)
30. Gold, S, Schulz, H, Mnch, A, Schulz, K, and, Heesen, C. 2003. Cognitive impairment in multiple sclerosis does not affect reliability and validity of self-report health measures. Multiple Sclerosis, 9: 404-410. (Pubitemid 36958025)
31. Goodkin, D, Hertsgaard, D, and, Seminary, J. 1988. Upper extremity function in multiple sclerosis: Improving assessment sensitivity with box-and-block and nine-hole peg tests. Archives of Physical Medicine and Rehabilitation, 69: 850-854.
32. Hughes, A, Denney, D, and, Lynch, S. 2011. Reaction time and rapid serial processing measures of information processing speed in multiple sclerosis: Complexity, compounding, and augmentation. Journal of the International Neuropsychological Society, 17: 1113-1121.
33. Julian, L, Merluzzi, N, and, Mohr, D. 2007. The relationship among depression, subjective cognitive impairment, and neuropsychological performance in multiple sclerosis. Multiple Sclerosis, 13: 81-86. (Pubitemid 46152765)
34. Kalmar, J, Bryant, D, Tulsky, D, and, DeLuca, J. 2004. Information processing deficits in multiple sclerosis: Does choice of screening instrument make a difference?. Rehabilitation Psychology, 49: 213-218. (Pubitemid 39095702)
35. Kinsinger, SW, Lattie, E, and, Mohr, DC. 2010. Relationship between depression, fatigue, subjective cognitive impairment, and objective neuropsychological functioning in patients with multiple sclerosis. Neuropsychology, 24: 573-580. doi: 10.1037/a0019222
36. Kraft, G, Freal, J, and, Coryell, J. 1986. Disability, disease duration, and rehabilitation service needs in multiple sclerosis: Patient perspectives. Archives of Physical Medicine and Rehabilitation, 67: 164-168. (Pubitemid 16016320)
37. Krch, D, Sumowski, JF, DeLuca, J, and, Chiaravalloti, N. 2011. Subjective memory in multiple sclerosis is associated with initial-trial learning performance. Journal of the International Neuropsychological Society, 17: 557-561.
38. Kurtzke, J. 1983. Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology, 33: 1444-1452. (Pubitemid 14237132)
39. Lublin, F, and, Reingold, S. 1996. Defining the clinical course of multiple sclerosis: Results of an international survey. National Multiple Sclerosis Society (USA) Advisory Committee on Clinical Trials of New Agents in Multiple Sclerosis. Neurology, 46: 907-911.
40. Macniven, JB, Davis, CC, Ho, MY, Bradshaw, CM, Szabadi, EE, and, Constantinescu, CS. 2008. Stroop performance in multiple sclerosis: Information processing, selective attention, or executive functioning?. Journal of the International Neuropsychological Society, 14: 805-814. doi: 10.1017/ S1355617708080946
41. Maor, Y, Olmer, L, and, Mozes, B. 2001. The relation between objective and subjective impairment in cognitive function among multiple sclerosis patients-the role of depression. Multiple Sclerosis, 7: 131-135. (Pubitemid 32514528)
42. Metzger, F, and, Denney, DR. 2002. Perception of cognitive performance in patients with chronic fatigue syndrome. Annals of Behavioral Medicine, 24: 106-112. (Pubitemid 34522735)
43. Middleton, L, Denney, D, Lynch, S, and, Parmenter, B. 2006. The relationship between perceived and objective cognitive functioning in multiple sclerosis. Archives of Clinical Neuropsychology, 21: 487-494. (Pubitemid 44247524)
44. Nelson, L, Franklin, G, Hamman, R, Boteler, D, Baum, H, and, Burks, J. 1988. Referral bias in multiple sclerosis research. Journal of Clinical Epidemiology, 41: 187-192. (Pubitemid 18069578)
45. Nyenhuis, DL, Luchetta, T, Yamamoto, C, Terrien, A, Bernardin, L, Rao, SM, and, Garron, DC. 1998. The development, standardization, and initial validation of the Chicago Multiscale Depression Inventory. Journal of Personality Assessment, 70: 386-401. (Pubitemid 28347667)
46. Paul, RH, Beatty, WW, Schneider, R, Blanco, CR, and, Hames, KA. 1998. Cognitive and physical fatigue in multiple sclerosis: Relations between self-report and objective performance. Applied Neuropsychology, 5: 143-148. (Pubitemid 28453040)
47. Polman, C, Reingold, S, Edan, G, Filippi, M, Hartung, H, Kappos, L, Wolinsky, JS. 2005. Diagnostic criteria for multiple sclerosis: 2005 revisions to the McDonald Criteria. Annals of Neurology, 58: 840-846. (Pubitemid 41746873)
48. Randolph, JJ, Arnett, PA, and, Freske, P. 2004. Metamemory in multiple sclerosis: Exploring affective and executive contributors. Archives of Clinical Neuropsychology, 19: 259-279. (Pubitemid 38316875)
49. Randolph, JJ, Arnett, PA, and, Higginson, CI. 2001. Metamemory and tested cognitive functioning in multiple sclerosis. The Clinical Neuropsychologist, 15: 357-368. (Pubitemid 34025268)
50. Rao, SM, Leo, GJ, Ellington, LL, and, Nauertz, TT. 1991. Cognitive dysfunction in multiple sclerosis: II. Impact on employment and social functioning. Neurology, 41: 692-696.
51. Rao, SM, Leo, GJ, Haughton, VM, and, Aubin-Faubert St., PP. 1989. Correlation of magnetic resonance imaging with neuropsychological testing in multiple sclerosis. Neurology, 39 (2, Pt 1): 161-166. (Pubitemid 19059298)
52. Rao, SM, Aubin-Faubert St., P, and, Leo, GJ. 1989. Information processing speed in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 11: 471-477. (Pubitemid 19186257)
53. Reitan, RM, and, Wolfson, D. 1985. The Halstead-Reitan Neuropsychological Test Battery, Tucson, AZ: Neuropsychology Press.
54. Rudick, R, Antel, J, Confavreux, C, Cutter, G, Ellison, G, Fischer, J, Willoughby, E. 1997. Recommendations from the National Multiple Sclerosis Society Clinical Outcomes Assessment Task Force. Annals of Neurology, 42: 379-382. (Pubitemid 127744543)
55. Salthouse, T. 2000. Aging and measures of processing speed. Biological Psychology, 54 (1-3): 35-54.
56. Schaefer, PS, Williams, CC, Goodie, AS, and, Campbell, W. 2004. Overconfidence and the Big Five. Journal of Research in Personality, 38: 473-480. (Pubitemid 39173791)
57. Schulz, D, Kopp, B, Kunkel, A, and, Faiss, J. 2006. Cognition in the early stage of multiple sclerosis. Journal of Neurology, 253: 1002-1010. (Pubitemid 44441123)
58. Smith, A. 1982. Symbol Digit Modalities Test (SDMT) manual, rev. ed., Los Angeles: Western Psychological Services.
59. Smith, MM, and, Arnett, PA. 2010. Awareness of executive functioning deficits in multiple sclerosis: Self versus informant ratings of impairment. Journal of Clinical and Experimental Neuropsychology, 32: 780-787.
60. Spielberger, CD, Gorsuch, RL, Lushene, PR, and, Vagg, GA. 1983. Manual for the State-Trait Anxiety Inventory, Palo Alto: Consulting Psychologist Press.
61. Taylor, E. 1959. Psychological appraisal of children with cerebral defects, Oxford, UK: Harvard University Press.
62. Wechsler, D. 1997. Wechsler Adult Intelligence Scale-III, San Antonio, TX: The Psychological Corporation.
63. Williams, DG. 1992. Dispositional optimism, neuroticism, and extraversion. Personality and Individual Differences, 13: 475-477.
64. Wu, N, Minden, S, Hoaglin, D, Hadden, L, and, Frankel, D. 2007. Quality of life in people with multiple sclerosis: Data from the Sonya Slifka Longitudinal Multiple Sclerosis Study. Journal of Health and Human Services Administration, 30: 233-267.