Literature DB >> 21229437

The relative contributions of processing speed and cognitive load to working memory accuracy in multiple sclerosis.

Victoria M Leavitt1, Jean Lengenfelder, Nancy B Moore, Nancy D Chiaravalloti, John DeLuca.   

Abstract

Cognitive symptoms of multiple sclerosis (MS) include processing-speed deficits and working memory impairment. The precise manner in which these deficits interact in individuals with MS remains to be explicated. We hypothesized that providing more time on a complex working memory task would result in performance benefits for individuals with MS relative to healthy controls. Fifty-three individuals with clinically definite MS and 36 matched healthy controls performed a computerized task that systematically manipulated cognitive load. The interval between stimuli presentations was manipulated to provide increasing processing time. The results confirmed that individuals with MS who have processing-speed deficits significantly improve in performance accuracy when given additional time to process the information in working memory. Implications of these findings for developing appropriate cognitive rehabilitation interventions are discussed.

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Year:  2011        PMID: 21229437     DOI: 10.1080/13803395.2010.541427

Source DB:  PubMed          Journal:  J Clin Exp Neuropsychol        ISSN: 1380-3395            Impact factor:   2.475


  8 in total

1.  The efficacy of speed of processing training for improving processing speed in individuals with multiple sclerosis: a randomized clinical trial.

Authors:  Nancy D Chiaravalloti; Silvana L Costa; Nancy B Moore; Kristen Costanza; John DeLuca
Journal:  J Neurol       Date:  2022-02-12       Impact factor: 4.849

2.  Processing speed versus working memory: contributions to an information-processing task in multiple sclerosis.

Authors:  Helen M Genova; Jeannie Lengenfelder; Nancy D Chiaravalloti; Nancy B Moore; John DeLuca
Journal:  Appl Neuropsychol Adult       Date:  2012       Impact factor: 2.248

3.  Preserved canonicality of the BOLD hemodynamic response reflects healthy cognition: Insights into the healthy brain through the window of Multiple Sclerosis.

Authors:  Monroe P Turner; Nicholas A Hubbard; Dinesh K Sivakolundu; Lyndahl M Himes; Joanna L Hutchison; John Hart; Jeffrey S Spence; Elliot M Frohman; Teresa C Frohman; Darin T Okuda; Bart Rypma
Journal:  Neuroimage       Date:  2018-02-15       Impact factor: 6.556

4.  Validity of the Symbol Digit Modalities Test as a cognition performance outcome measure for multiple sclerosis.

Authors:  Ralph Hb Benedict; John DeLuca; Glenn Phillips; Nicholas LaRocca; Lynn D Hudson; Richard Rudick
Journal:  Mult Scler       Date:  2017-02-16       Impact factor: 6.312

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

6.  Evaluating the relationship between psychometric intelligence and cognitive functions in paediatric multiple sclerosis.

Authors:  Tugba Kapanci; Kevin Rostásy; Martin Georg Häusler; Tobias Geis; Mareike Schimmel; Christiane Elpers; Jonas H Kreth; Charlotte Thiels; Stefan J Troche
Journal:  Mult Scler J Exp Transl Clin       Date:  2019-12-11

Review 7.  Vascular Cognitive Impairment After Mild Stroke: Connectomic Insights, Neuroimaging, and Knowledge Translation.

Authors:  Jess A Holguin; John L Margetis; Anisha Narayan; Grant M Yoneoka; Andrei Irimia
Journal:  Front Neurosci       Date:  2022-07-07       Impact factor: 5.152

8.  The subtleties of cognitive decline in multiple sclerosis: an exploratory study using hierarchichal cluster analysis of CANTAB results.

Authors:  Hideraldo Luis Souza Cabeça; Luciano Chaves Rocha; Amanda Ferreira Sabbá; Alessandra Mendonça Tomás; Natali Valim Oliver Bento-Torres; Daniel Clive Anthony; Cristovam Wanderley Picanço Diniz
Journal:  BMC Neurol       Date:  2018-09-10       Impact factor: 2.474

  8 in total

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