Literature DB >> 29438835

Structural MRI correlates of cognitive function in multiple sclerosis.

Artemios Artemiadis1, Maria Anagnostouli2, Ioannis Zalonis2, Konstantinos Chairopoulos3, Nikos Triantafyllou2.   

Abstract

BACKGROUND: Cognitive impairment (CI) has been associated with numerous magnetic resonance imaging (MRI) indices in multiple sclerosis (MS) patients. In this study we investigated the association of a large set of 2D and 3D MRI markers with cognitive function in MS.
METHODS: A sample of 61 RRMS patients (mean age 41.8 ± 10.6 years old, 44 women, mean disease duration 137.9 ± 83.9 months) along with 51 age and gender matched healthy controls was used in this cross-sectional study. Neuropsychological and other tests, along with a large set of 2D/3D MRI evaluations were made.
RESULTS: 44.3% of patients had CI. CI patients had more disability, physical fatigue than non-CI patients and more psychological distress than non-CI patients and HCs. Also, CI patients had significantly larger third ventricle width and volume, smaller coprus callosum index and larger lesion volume than non-CI patients. These MRI markers also significantly predicted cognitive scores after adjusting for age and education, explaining about 30.6% of the variance of the total cognitive score.
CONCLUSIONS: Selected linear and volumetric MRI indices predict cognitive function in MS. Future studies should expand these results by exploring longitudinal changes and producing normative data.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BICAMS; Cognitive; MRI; Markers; Multiple sclerosis; Volumetric

Mesh:

Year:  2018        PMID: 29438835     DOI: 10.1016/j.msard.2018.02.003

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  5 in total

1.  Predictive Value of the Third Ventricle Width for Neurological Status in Multiple Sclerosis.

Authors:  Wojciech Guenter; Ewa Betscher; Robert Bonek
Journal:  J Clin Med       Date:  2022-05-18       Impact factor: 4.964

2.  Mindfulness-based cognitive therapy combined with repetitive transracial magnetic stimulation (rTMS) on information processing and working memory of patients with multiple sclerosis.

Authors:  Majid Eydi-Baygi; Abdolaziz Aflakseir; Mehdi Imani; Mohammad Ali Goodarzi; Mohammad Hossein Harirchian
Journal:  Caspian J Intern Med       Date:  2022

3.  Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.

Authors:  A Kuceyeski; E Monohan; E Morris; K Fujimoto; W Vargas; S A Gauthier
Journal:  Neuroimage Clin       Date:  2018-05-08       Impact factor: 4.881

4.  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

Review 5.  Outcome measures assisting treatment optimization in multiple sclerosis.

Authors:  Gabriel Pardo; Samantha Coates; Darin T Okuda
Journal:  J Neurol       Date:  2021-08-02       Impact factor: 4.849

  5 in total

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