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Journal Abstract Search


192 related items for PubMed ID: 20829669

  • 1. The Computerized Test of Information Processing (CTIP) offers an alternative to the PASAT for assessing cognitive processing speed in individuals with multiple sclerosis.
    Tombaugh TN, Berrigan LI, Walker LA, Freedman MS.
    Cogn Behav Neurol; 2010 Sep; 23(3):192-8. PubMed ID: 20829669
    [Abstract] [Full Text] [Related]

  • 2. Indices of cognitive dysfunction in relapsing-remitting multiple sclerosis: intra-individual variability, processing speed, and attention network efficiency.
    Wojtowicz M, Omisade A, Fisk JD.
    J Int Neuropsychol Soc; 2013 May; 19(5):551-8. PubMed ID: 23425598
    [Abstract] [Full Text] [Related]

  • 3. Neuropsychological testing and event-related potentials in the assessment of cognitive performance in the patients with multiple sclerosis--a pilot study.
    Pokryszko-Dragan A, Zagrajek M, Slotwinski K, Gruszka E, Bilinska M, Podemski R.
    Clin Neurol Neurosurg; 2009 Jul; 111(6):503-6. PubMed ID: 19233546
    [Abstract] [Full Text] [Related]

  • 4. Information-processing speed is the primary deficit underlying the poor performance of multiple sclerosis patients in the Paced Auditory Serial Addition Test (PASAT).
    Forn C, Belenguer A, Parcet-Ibars MA, Avila C.
    J Clin Exp Neuropsychol; 2008 Oct; 30(7):789-96. PubMed ID: 18608672
    [Abstract] [Full Text] [Related]

  • 5. Within-session practice effect on paced auditory serial addition test in multiple sclerosis.
    Nagels G, D'hooghe MB, Kos D, Engelborghs S, De Deyn PP.
    Mult Scler; 2008 Jan; 14(1):106-11. PubMed ID: 17893110
    [Abstract] [Full Text] [Related]

  • 6. Impaired information processing speed and attention allocation in multiple sclerosis patients versus controls: a high-density EEG study.
    Whelan R, Lonergan R, Kiiski H, Nolan H, Kinsella K, Hutchinson M, Tubridy N, Reilly RB.
    J Neurol Sci; 2010 Jun 15; 293(1-2):45-50. PubMed ID: 20399448
    [Abstract] [Full Text] [Related]

  • 7. Reaction time: An alternative method for assessing the effects of multiple sclerosis on information processing speed.
    Reicker LI, Tombaugh TN, Walker L, Freedman MS.
    Arch Clin Neuropsychol; 2007 Jun 15; 22(5):655-64. PubMed ID: 17532182
    [Abstract] [Full Text] [Related]

  • 8. PASAT in detecting cognitive impairment in relapsing-remitting MS.
    Rosti E, Hämäläinen P, Koivisto K, Hokkanen L.
    Appl Neuropsychol; 2007 Jun 15; 14(2):101-12. PubMed ID: 17523884
    [Abstract] [Full Text] [Related]

  • 9. Cognitive impairment in three subtypes of multiple sclerosis.
    Denney DR, Sworowski LA, Lynch SG.
    Arch Clin Neuropsychol; 2005 Dec 15; 20(8):967-81. PubMed ID: 15961271
    [Abstract] [Full Text] [Related]

  • 10. Cognitive impairment differs between primary progressive and relapsing-remitting MS.
    Ruet A, Deloire M, Charré-Morin J, Hamel D, Brochet B.
    Neurology; 2013 Apr 16; 80(16):1501-8. PubMed ID: 23516324
    [Abstract] [Full Text] [Related]

  • 11. Activation patterns in multiple sclerosis on the Computerized Tests of Information Processing.
    Smith AM, Walker LA, Freedman MS, Berrigan LI, St Pierre J, Hogan MJ, Cameron I.
    J Neurol Sci; 2012 Jan 15; 312(1-2):131-7. PubMed ID: 21862036
    [Abstract] [Full Text] [Related]

  • 12. Rapid serial processing in patients with multiple sclerosis: the role of peripheral deficits.
    Bodling AM, Denney DR, Lynch SG.
    J Int Neuropsychol Soc; 2008 Jul 15; 14(4):646-50. PubMed ID: 18577294
    [Abstract] [Full Text] [Related]

  • 13. The effects of practice on speed of information processing using the Adjusting-Paced Serial Addition Test (Adjusting-PSAT) and the Computerized Tests of Information Processing (CTIP).
    Baird BJ, Tombaugh TN, Francis M.
    Appl Neuropsychol; 2007 Jul 15; 14(2):88-100. PubMed ID: 17523883
    [Abstract] [Full Text] [Related]

  • 14. Specificity of frontal dysfunctions in relapsing-remitting multiple sclerosis.
    Santiago O, Guàrdia J, Casado V, Carmona O, Arbizu T.
    Arch Clin Neuropsychol; 2007 Jun 15; 22(5):623-9. PubMed ID: 17482795
    [Abstract] [Full Text] [Related]

  • 15. Assessing the validity of a computer-generated cognitive screening instrument for patients with multiple sclerosis.
    Lapshin H, Lanctôt KL, O'Connor P, Feinstein A.
    Mult Scler; 2013 Dec 15; 19(14):1905-12. PubMed ID: 23652217
    [Abstract] [Full Text] [Related]

  • 16. Improved detection of differential information-processing speed deficits between two disease-course types of multiple sclerosis.
    Snyder PJ, Cappelleri JC, Archibald CJ, Fisk JD.
    Neuropsychology; 2001 Oct 15; 15(4):617-25. PubMed ID: 11761051
    [Abstract] [Full Text] [Related]

  • 17. Reaction time and rapid serial processing measures of information processing speed in multiple sclerosis: complexity, compounding, and augmentation.
    Hughes AJ, Denney DR, Lynch SG.
    J Int Neuropsychol Soc; 2011 Nov 15; 17(6):1113-21. PubMed ID: 22040901
    [Abstract] [Full Text] [Related]

  • 18. Transverse diffusivity of cerebral parenchyma predicts visual tracking performance in relapsing-remitting multiple sclerosis.
    Warlop NP, Achten E, Fieremans E, Debruyne J, Vingerhoets G.
    Brain Cogn; 2009 Dec 15; 71(3):410-5. PubMed ID: 19576672
    [Abstract] [Full Text] [Related]

  • 19. Processing speed interacts with working memory efficiency in multiple sclerosis.
    Lengenfelder J, Bryant D, Diamond BJ, Kalmar JH, Moore NB, DeLuca J.
    Arch Clin Neuropsychol; 2006 Apr 15; 21(3):229-38. PubMed ID: 16564670
    [Abstract] [Full Text] [Related]

  • 20. Selective decline in information processing in subgroups of multiple sclerosis: an 8-year longitudinal study.
    Bergendal G, Fredrikson S, Almkvist O.
    Eur Neurol; 2007 Apr 15; 57(4):193-202. PubMed ID: 17272938
    [Abstract] [Full Text] [Related]


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