Literature DB >> 23350959

The role of speed versus working memory in predicting learning new information in multiple sclerosis.

Nancy D Chiaravalloti1, Jelena Stojanovic-Radic, John DeLuca.   

Abstract

The most common cognitive impairments in multiple sclerosis (MS) have been documented in specific domains, including new learning and memory, working memory, and information processing speed. However, little attempt has been made to increase our understanding of their relationship to one another. While recent studies have shown that processing speed impacts new learning and memory abilities in MS, the role of working memory in this relationship has received less attention. The present study examines the relative contribution of impaired working memory versus processing speed in new learning and memory functions in MS. Participants consisted of 51 individuals with clinically definite MS. Participants completed two measures of processing speed, two measures of working memory, and two measures of episodic memory. Data were analyzed via correlational and multiple regression analysis. Results indicate that the variance in new learning abilities in this sample was primarily associated with processing speed, with working memory exerting much less of an influence. Results are discussed in terms of the role of cognitive rehabilitation of new learning and memory abilities in persons with MS.

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Year:  2013        PMID: 23350959     DOI: 10.1080/13803395.2012.760537

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


  9 in total

1.  Spatial distribution of white matter degenerative lesions and cognitive dysfunction in relapsing-remitting multiple sclerosis patients.

Authors:  Natalia Nowaczyk; Alicja Kalinowska-Łyszczarz; Włodzimierz Paprzycki; Sławomir Michalak; Radosław Kaźmierski; Mikołaj A Pawlak
Journal:  Neurol Neurochir Pol       Date:  2019-02-11       Impact factor: 1.621

2.  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

3.  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

4.  A Comparison of Implicit and Explicit Motor Sequence Learning in Patients with Relapsing-Remitting Multiple Sclerosis.

Authors:  Maliheh Sarabandi
Journal:  Sports (Basel)       Date:  2017-06-07

5.  Limbic system damage in MS: MRI assessment and correlations with clinical testing.

Authors:  Jie Wen; Dmitriy A Yablonskiy; Amber Salter; Anne H Cross
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

6.  Repeated Working Memory Training Improves Task Performance and Neural Efficiency in Multiple Sclerosis Patients and Healthy Controls.

Authors:  Naiara Aguirre; Álvaro Javier Cruz-Gómez; Anna Miró-Padilla; Elisenda Bueichekú; Ricardo Broseta Torres; César Ávila; Carla Sanchis-Segura; Cristina Forn
Journal:  Mult Scler Int       Date:  2019-04-16

7.  An Interview-Based Assessment of the Experience of Cognitive Impairment in Multiple Sclerosis: The Cognitive Assessment Interview (CAI).

Authors:  Tehila Eilam-Stock; Pamela Best; Kathleen Sherman; Michael T Shaw; Joseph Ventura; Lauren B Krupp; Leigh E Charvet
Journal:  Front Neurol       Date:  2021-02-11       Impact factor: 4.003

8.  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

9.  Cognitive impairment in multiple sclerosis: lessons from cerebrospinal fluid biomarkers.

Authors:  Lorenzo Gaetani; Nicola Salvadori; Elena Chipi; Lucia Gentili; Angela Borrelli; Lucilla Parnetti; Massimiliano Di Filippo
Journal:  Neural Regen Res       Date:  2021-01       Impact factor: 5.135

  9 in total

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