Literature DB >> 20829669

The Computerized Test of Information Processing (CTIP) offers an alternative to the PASAT for assessing cognitive processing speed in individuals with multiple sclerosis.

Tom N Tombaugh1, Lindsay I Berrigan, Lisa A S Walker, Mark S Freedman.   

Abstract

OBJECTIVE: To compare the ability of the Computerized Test of Information Processing (CTIP) to detect impaired cognitive processing speed in patients with multiple sclerosis (MS) with a traditional 3.0 second Paced Auditory Serial Addition Test (PASAT) and the Adjusting-PASAT which allows for calculation of a speed score.
BACKGROUND: A primary cognitive deficit in MS is an impaired ability to process information quickly. Unfortunately, relatively few clinical tests effectively measure information processing speed. Of these, the PASAT is generally acknowledged to be the most sensitive, but use of this test is constrained by several factors.
METHODS: All tests were administered to 30 adults with relapsing-remitting MS and 30 control participants.
RESULTS: A series of analysis of variances revealed MS participants performed significantly worse than controls on the CTIP and the 3.0 second PASAT, whereas no significant difference was observed for the Adjusting-PASAT.
CONCLUSIONS: The results suggest the CTIP can detect deficits in the speed at which people with MS process information. Thus, the CTIP offers an alternative means to the 3.0 second PASAT included in the Multiple Sclerosis Functional Composite for assessing such impairment.

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Year:  2010        PMID: 20829669     DOI: 10.1097/WNN.0b013e3181cc8bd4

Source DB:  PubMed          Journal:  Cogn Behav Neurol        ISSN: 1543-3633            Impact factor:   1.600


  5 in total

1.  Intra-individual Variability as a Measure of Information Processing Difficulties in Multiple Sclerosis.

Authors:  Magdalena Wojtowicz; Lindsay I Berrigan; John D Fisk
Journal:  Int J MS Care       Date:  2012

2.  Tests of information processing speed: what do people with multiple sclerosis think about them?

Authors:  Lisa A S Walker; Amy Cheng; Jason Berard; Lindsay I Berrigan; Laura M Rees; Mark S Freedman
Journal:  Int J MS Care       Date:  2012

3.  Reliability and validity of a motion-based reaction time assessment using a mobile device.

Authors:  Mark Burghart; Jordan Craig; Jeff Radel; Jessie Huisinga
Journal:  Appl Neuropsychol Adult       Date:  2018-09-05       Impact factor: 2.248

4.  Intra-individual variability in information processing speed reflects white matter microstructure in multiple sclerosis.

Authors:  Erin L Mazerolle; Magdalena A Wojtowicz; Antonina Omisade; John D Fisk
Journal:  Neuroimage Clin       Date:  2013-06-28       Impact factor: 4.881

5.  Computerized neuropsychological assessment devices in multiple sclerosis: A systematic review.

Authors:  Curtis M Wojcik; Meghan Beier; Kathleen Costello; John DeLuca; Anthony Feinstein; Yael Goverover; Mark Gudesblatt; Michael Jaworski; Rosalind Kalb; Lori Kostich; Nicholas G LaRocca; Jonathan D Rodgers; Ralph Hb Benedict
Journal:  Mult Scler       Date:  2019-10-22       Impact factor: 6.312

  5 in total

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