Literature DB >> 17532182

Reaction time: An alternative method for assessing the effects of multiple sclerosis on information processing speed.

Lindsay I Reicker1, Tom N Tombaugh, Lisa Walker, Mark S Freedman.   

Abstract

The ability of a newly developed measure of information processing to detect deficits in cognitive functioning associated with multiple sclerosis (MS) was investigated. The Computerized Tests of Information Processing (CTIP; Tombaugh, T., & Rees, L. (1999). Computerized Tests of Information Processing (CTIP). Unpublished test. Ottawa, Ontario, Canada: Carleton University) was administered to 60 clinically definite MS patients and 60 healthy controls. MS patients responded significantly slower than controls on the reaction time tests composing the CTIP. Moreover, as the CTIP tests became more difficult (i.e. as processing demands increased), the difference between the performances of the two groups progressively increased. These results suggest the CTIP is sensitive to the cognitive deficits observed in MS and that this measure has the potential to serve as a viable alternative to traditional measures of information processing speed currently in use with MS patients.

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Year:  2007        PMID: 17532182     DOI: 10.1016/j.acn.2007.04.008

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  13 in total

1.  Imagined actions in multiple sclerosis patients: evidence of decline in motor cognitive prediction.

Authors:  Andrea Tacchino; Marco Bove; Ludovico Pedullà; Mario Alberto Battaglia; Charalambos Papaxanthis; Giampaolo Brichetto
Journal:  Exp Brain Res       Date:  2013-06-28       Impact factor: 1.972

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.  Motor reaction time and accuracy in patients with multiple sclerosis: effects of an active computerized training program.

Authors:  Amir Dana; Saleh Rafiee; Amin Gholami
Journal:  Neurol Sci       Date:  2019-05-04       Impact factor: 3.307

4.  Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load.

Authors:  Yong He; Alain Dagher; Zhang Chen; Arnaud Charil; Alex Zijdenbos; Keith Worsley; Alan Evans
Journal:  Brain       Date:  2009-12       Impact factor: 13.501

5.  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

6.  Assessment of cognitive function in systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis by computerized neuropsychological tests.

Authors:  John G Hanly; Antonina Omisade; Li Su; Vernon Farewell; John D Fisk
Journal:  Arthritis Rheum       Date:  2010-05

7.  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

8.  The Effects of Repeated Testing, Simulated Malingering, and Traumatic Brain Injury on High-Precision Measures of Simple Visual Reaction Time.

Authors:  David L Woods; John M Wyma; E William Yund; Timothy J Herron
Journal:  Front Hum Neurosci       Date:  2015-11-09       Impact factor: 3.169

9.  Brain activity pattern changes after adaptive working memory training in multiple sclerosis.

Authors:  Laura Bonzano; Ludovico Pedullà; Matteo Pardini; Andrea Tacchino; Paola Zaratin; Mario Alberto Battaglia; Giampaolo Brichetto; Marco Bove
Journal:  Brain Imaging Behav       Date:  2020-02       Impact factor: 3.978

10.  Effects of Transcranial Direct Current Stimulation on Information Processing Speed, Working Memory, Attention, and Social Cognition in Multiple Sclerosis.

Authors:  Christina Grigorescu; Moussa A Chalah; Jean-Pascal Lefaucheur; Tania Kümpfel; Frank Padberg; Samar S Ayache; Ulrich Palm
Journal:  Front Neurol       Date:  2020-10-15       Impact factor: 4.003

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