Literature DB >> 30042634

Comparison of Brain Atrophy, Cognition and Optical Coherence Tomography Results Between Multiple Sclerosis Patients and Healthy Controls.

Şükran Yurtoğulları1, Özlem Taşkapılıoğlu2, Burkay Öztürk3, Başar Bilgiç4, Bahattin Hakyemez2, Nevin Türkeş2, Öner Gelişken5, Ömer Faruk Turan2, Mustafa Bakar2.   

Abstract

INTRODUCTION: Cognitive impairment is also an important cause of disability in MS in addition to motor, sensory, visual, and cerebellar affections. The aim of this study is to show the relation between the cognitive disability in MS with brain atrophy and retinal nerve fiber layer (RNFL).
METHODS: Forty-three multiple sclerosis (MS) patients, and 15 healthy individuals as controls were included in the study. MS patients were divided into three groups as relapsing-remitting MS (RRMS), relapsing-remitting with optic neuritis (RRMS+ON), and secondary-progressive MS (SPMS). An experienced psychologist performed modified Wechsler Memory Scale Revised form (WMS-R), Lines Orientation test, Stroop Color Word Interference test (STROOP), Standard Raven Progressive Matrices (SRPM), Benton Facial Recognition Test, verbal fluency test, and Paced Auditory Serial Addition tests in all cases. Optic coherence tomographies (OCT) were done. Cranial subcortical volumes of all subjects were measured using 3-dimensonal T1A imagines obtained by the cranial subcortical 1.5 tesla MR device (fully automatic Freesurfer program). Brain parenchymal fractions were calculated by proportioning the obtained volume measurements to the total intracranial volume.
RESULTS: Fifty-eight subjects (65.5% female, 34.5% male) were enrolled in the study. There were significant differences among the groups in terms of parenchymal thickness, volumes of third ventricle, and white matter. There was a significant correlation between the volumes of the deep gray matter, mesial temporal structures and lateral ventricular volumes, and the test results of the WMS-R. OCT scores of all MS patients, whether or not they experienced optic neuritis, had increased, being worse especially in the SPMS group. Correlation between RNFL and the brain parenchymal fractions of the patients were statistically significant.
CONCLUSION: Manual methods instead of automatic segmentation method are being more commonly used in the studies with brain atrophy and MS in our country. A significant correlation between OCT scores and brain atrophy is shown with our present study, and this is followed as a reflection of decrease in cognitive tests that provides valuable and reliable knowledge for the literature.

Entities:  

Keywords:  Multiple sclerosis; brain atrophy; cognition

Year:  2018        PMID: 30042634      PMCID: PMC6045796          DOI: 10.29399/npa.12534

Source DB:  PubMed          Journal:  Noro Psikiyatr Ars        ISSN: 1300-0667            Impact factor:   1.339


  34 in total

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Authors:  Y Ge; R I Grossman; J K Udupa; L Wei; L J Mannon; M Polansky; D L Kolson
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Review 2.  Molecular pathogenesis of multiple sclerosis.

Authors:  A Bar-Or; E M Oliveira; D E Anderson; D A Hafler
Journal:  J Neuroimmunol       Date:  1999-12       Impact factor: 3.478

3.  Quantitative volumetric analysis of brain magnetic resonance imaging from patients with multiple sclerosis.

Authors:  M Filippi; G Mastronardo; M A Rocca; C Pereira; G Comi
Journal:  J Neurol Sci       Date:  1998-06-30       Impact factor: 3.181

4.  Optical coherence tomography in multiple sclerosis: thickness of the retinal nerve fiber layer as a potential measure of axonal loss and brain atrophy.

Authors:  Malgorzata Siger; Krzysztof Dziegielewski; Lukasz Jasek; Marek Bieniek; Agnieszka Nicpan; Jerzy Nawrocki; Krzysztof Selmaj
Journal:  J Neurol       Date:  2008-09-25       Impact factor: 4.849

Review 5.  The neuropsychiatry of multiple sclerosis.

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Journal:  Can J Psychiatry       Date:  2004-03       Impact factor: 4.356

6.  Extent of cerebellum, subcortical and cortical atrophy in patients with MS: a case-control study.

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7.  Prediction of neuropsychological impairment in multiple sclerosis: comparison of conventional magnetic resonance imaging measures of atrophy and lesion burden.

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Journal:  Arch Neurol       Date:  2004-02

8.  Regional hippocampal atrophy in multiple sclerosis.

Authors:  N L Sicotte; K C Kern; B S Giesser; A Arshanapalli; A Schultz; M Montag; H Wang; S Y Bookheimer
Journal:  Brain       Date:  2008-04       Impact factor: 13.501

9.  Independent contributions of cortical gray matter atrophy and ventricle enlargement for predicting neuropsychological impairment in multiple sclerosis.

Authors:  Ayda Tekok-Kilic; Ralph H B Benedict; Bianca Weinstock-Guttman; Michael G Dwyer; Dominic Carone; Bhooma Srinivasaraghavan; Viritha Yella; Nadir Abdelrahman; Frederick Munschauer; Rohit Bakshi; Robert Zivadinov
Journal:  Neuroimage       Date:  2007-04-18       Impact factor: 6.556

10.  Brain atrophy in clinically early relapsing-remitting multiple sclerosis.

Authors:  D T Chard; C M Griffin; G J M Parker; R Kapoor; A J Thompson; D H Miller
Journal:  Brain       Date:  2002-02       Impact factor: 13.501

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Journal:  Neurol Sci       Date:  2022-02-12       Impact factor: 3.307

2.  Association of Retinal Layer Thickness With Cognition in Patients With Multiple Sclerosis.

Authors:  Sharon Jean Baetge; Michael Dietrich; Melanie Filser; Alina Renner; Nathalie Stute; Marcia Gasis; Margit Weise; Klaudia Lepka; Jonas Graf; Norbert Goebels; Hans-Peter Hartung; Orhan Aktas; Sven Meuth; Philipp Albrecht; Iris-Katharina Penner
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-05-27
  2 in total

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