Literature DB >> 27207446

Information processing speed in multiple sclerosis: Past, present, and future.

Silvana L Costa1, Helen M Genova1, John DeLuca2, Nancy D Chiaravalloti1.   

Abstract

BACKGROUND: Information processing speed (IPS) is a prevalent cognitive impairment in multiple sclerosis (MS).
OBJECTIVES: This review aims to summarize the methods applied to assess IPS in MS and its theoretical conceptualization. A PubMed search was performed to select articles published between 1 January 2004 and 31 December 2013, resulting in 157 articles included.
RESULTS: The majority (54%) of studies assessed IPS with heterogeneous samples (several disease courses). Studies often report controlling for presence of other neurological disorders (60.5%), age (58.6%), education (51.6%), alcohol history (47.8%), or use of steroids (39.5%). Potential confounding variables, such as recent relapses (50.3%), history of developmental disorders (19.1%), and visual problems (29.9%), were often neglected. Assessments used to study IPS were heterogeneous (ranging from simple to complex tasks) among the studies under review, with 62 different tasks used. Only 9.6% of articles defined the construct of IPS and 22.3% discussed IPS in relation to a theoretical model. FUTURE DIRECTIONS: The challenges for the upcoming decade include clarification of the definition of IPS as well as its theoretical conceptualization and a consensus on assessment. Based on the results obtained, we propose a new theoretical model, the tri-factor model of IPS.

Entities:  

Keywords:  Multiple sclerosis; cognitive assessment; processing speed; working memory

Mesh:

Year:  2016        PMID: 27207446     DOI: 10.1177/1352458516645869

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  30 in total

1.  White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset.

Authors:  Sindhuja Tirumalai Govindarajan; Yilin Liu; Maria Andrea Parra Corral; Lev Bangiyev; Lauren Krupp; Leigh Charvet; Tim Q Duong
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

2.  Group cognitive rehabilitation to reduce the psychological impact of multiple sclerosis on quality of life: the CRAMMS RCT.

Authors:  Nadina B Lincoln; Lucy E Bradshaw; Cris S Constantinescu; Florence Day; Avril Er Drummond; Deborah Fitzsimmons; Shaun Harris; Alan A Montgomery; Roshan das Nair
Journal:  Health Technol Assess       Date:  2020-01       Impact factor: 4.014

3.  Relationships between daily mood states and real-time cognitive performance in individuals with bipolar disorder and healthy comparators: A remote ambulatory assessment study.

Authors:  Jessica A Bomyea; Emma M Parrish; Emily W Paolillo; Tess F Filip; Lisa T Eyler; Colin A Depp; Raeanne C Moore
Journal:  J Clin Exp Neuropsychol       Date:  2021-09-08       Impact factor: 2.283

4.  Cognitive Processing Speed Impairment Does Not Influence the Construct Validity of Six-Spot Step Test Performance in People With Multiple Sclerosis.

Authors:  Brian M Sandroff; Stephanie L Silveira; Jessica F Baird; Trinh Huynh; Robert W Motl
Journal:  Phys Ther       Date:  2021-02-04

5.  A network-based cognitive training induces cognitive improvements and neuroplastic changes in patients with relapsing-remitting multiple sclerosis: an exploratory case-control study.

Authors:  Riccardo Manca; Micaela Mitolo; Iain D Wilkinson; David Paling; Basil Sharrack; Annalena Venneri
Journal:  Neural Regen Res       Date:  2021-06       Impact factor: 5.135

6.  Functional Components of Cognitive Impairment in Multiple Sclerosis: A Cross-Sectional Investigation.

Authors:  Jordi A Matias-Guiu; Ana Cortés-Martínez; María Valles-Salgado; Celia Oreja-Guevara; Vanesa Pytel; Paloma Montero; Teresa Moreno-Ramos; Jorge Matias-Guiu
Journal:  Front Neurol       Date:  2017-11-28       Impact factor: 4.003

Review 7.  The clinico-radiological paradox of cognitive function and MRI burden of white matter lesions in people with multiple sclerosis: A systematic review and meta-analysis.

Authors:  Daisy Mollison; Robin Sellar; Mark Bastin; Denis Mollison; Siddharthan Chandran; Joanna Wardlaw; Peter Connick
Journal:  PLoS One       Date:  2017-05-15       Impact factor: 3.240

8.  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

9.  Improved cognitive outcomes in patients with relapsing-remitting multiple sclerosis treated with daclizumab beta: Results from the DECIDE study.

Authors:  Ralph Hb Benedict; Stanley Cohan; Sharon G Lynch; Katherine Riester; Ping Wang; Wanda Castro-Borrero; Jacob Elkins; Guido Sabatella
Journal:  Mult Scler       Date:  2017-05-09       Impact factor: 6.312

10.  Multiple sclerosis: Executive dysfunction, task switching and the role of attention.

Authors:  M Clough; P Foletta; A N Frohman; D Sears; A Ternes; O B White; J Fielding
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-04-17
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