Literature DB >> 17272938

Selective decline in information processing in subgroups of multiple sclerosis: an 8-year longitudinal study.

G Bergendal1, S Fredrikson, O Almkvist.   

Abstract

Multiple sclerosis (MS) is an inflammatory and degenerative disease of the central nervous system (CNS) that causes white matter and cortical lesions over many years. The CNS is selectively affected by the disease with a great variety of symptoms between patients. In this study, we describe the impact on various aspects of cognition over an 8-year follow-up period in 31 consecutive MS patients subgrouped as relapsing remitting (RR) MS, secondary progressive (SP) MS, and primary progressive (PP) MS. Results showed a differential pattern of cognitive decline already at baseline in speed of information processing. During the follow-up, a pronounced decline occurred in speed of information processing, finger-motor speed, copying geometrical designs, episodic memory, and visuospatial short-term memory. A striking difference was observed between a marked decline in visual reaction time, whereas no significant change was seen in auditory reaction time. In contrast, there was no time-related decline in verbal abilities. However, an initial marked cognitive impairment predicted further cognitive decline over the 8-year follow-up. Information-processing tests were found to be an especially strong predictor of long-term cognitive decline. In addition, high EDSS score at follow-up was associated with decline in information processes. Results also showed that SP-MS patients deteriorated significantly more than the other two groups, particularly in visual compared to auditory information processing. To conclude, cognitive decline appeared particularly in SP-MS patients and in visual information processing. 2007 S. Karger AG, Basel

Entities:  

Mesh:

Year:  2007        PMID: 17272938     DOI: 10.1159/000099158

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  23 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.  Information processing and magnetic resonance imaging indices of brain pathology in multiple sclerosis.

Authors:  Antonina Omisade; John D Fisk; Raymond M Klein; Matthias Schmidt; Sultan Darvesh; Virender Bhan
Journal:  Int J MS Care       Date:  2012

3.  Analysis of "task-positive" and "task-negative" functional networks during the performance of the Symbol Digit Modalities Test in patients at presentation with clinically isolated syndrome suggestive of multiple sclerosis.

Authors:  C Forn; M A Rocca; I Boscá; B Casanova; A Sanjuan; M Filippi
Journal:  Exp Brain Res       Date:  2013-01-04       Impact factor: 1.972

4.  A longitudinal study of cognitive function in multiple sclerosis: is decline inevitable?

Authors:  Marina Katsari; Dimitrios S Kasselimis; Erasmia Giogkaraki; Marianthi Breza; Maria-Eleftheria Evangelopoulos; Maria Anagnostouli; Elisabeth Andreadou; Costas Kilidireas; Alia Hotary; Ioannis Zalonis; Georgios Koutsis; Constantin Potagas
Journal:  J Neurol       Date:  2020-02-01       Impact factor: 4.849

5.  Normal appearing white matter permeability: a marker of inflammation and information processing speed deficit among relapsing remitting multiple sclerosis patients.

Authors:  Eldar Eftekhari; Seyed-Parsa Hojjat; Rita Vitorino; Timothy J Carroll; Charles Grady Cantrell; Liesly Lee; Matthew W Taylor; Sarah A Morrow; Haddas Benhabib; Richard I Aviv; Andrea Kassner
Journal:  Neuroradiology       Date:  2017-06-16       Impact factor: 2.804

6.  Deconstructing spatial working memory and attention deficits in multiple sclerosis.

Authors:  Leon Gmeindl; Susan M Courtney
Journal:  Neuropsychology       Date:  2011-11-07       Impact factor: 3.295

7.  Effect of Cognitive Demand on Functional Mobility in Ambulatory Individuals with Multiple Sclerosis.

Authors:  Marcia Aparecida Ciol; Patricia Noritake Matsuda; Seema Rani Khurana; Melissa Jaclyn Cline; Jacob Jonathan Sosnoff; George Howard Kraft
Journal:  Int J MS Care       Date:  2017 Jul-Aug

8.  Changes in Cognitive Performance With Age in Adults With Multiple Sclerosis.

Authors:  Jessica F Baird; Katie L J Cederberg; E Morghen Sikes; Brenda Jeng; Jeffer E Sasaki; Brian M Sandroff; Robert W Motl
Journal:  Cogn Behav Neurol       Date:  2019-09       Impact factor: 1.600

9.  Modeling the relationship among gray matter atrophy, abnormalities in connecting white matter, and cognitive performance in early multiple sclerosis.

Authors:  A F Kuceyeski; W Vargas; M Dayan; E Monohan; C Blackwell; A Raj; K Fujimoto; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2014-11-20       Impact factor: 3.825

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.