Literature DB >> 17875909

Thalamic atrophy and cognition in multiple sclerosis.

M K Houtchens1, R H B Benedict, R Killiany, J Sharma, Z Jaisani, B Singh, B Weinstock-Guttman, C R G Guttmann, R Bakshi.   

Abstract

OBJECTIVES: Recent studies have indicated that brain atrophy is more closely associated with cognitive impairment in multiple sclerosis (MS) than are conventional MRI lesion measures. Enlargement of the third ventricle shows a particularly strong correlation with cognitive impairment, suggesting clinical relevance of damage to surrounding structures, such as the thalamus. Previous imaging and pathology studies have demonstrated thalamic involvement in MS. In this study, we tested the hypothesis that thalamic volume is lower in MS than in normal subjects, and that thalamic atrophy in MS correlates with cognitive function.
METHODS: We studied 79 patients with MS and 16 normal subjects. A subgroup of 31 MS subjects underwent cognitive testing. The thalamus was segmented in whole from three-dimensional MRI scans. We also determined whole brain atrophy (brain parenchymal fraction), third ventricular width, and whole brain T2-weighted (fluid-attenuated inversion recovery) hyperintense, T1 hypointense, and gadolinium-enhanced lesion volumes.
RESULTS: Normalized thalamic volume was 16.8% lower in the MS group (p < 0.0001) vs controls. Cognitive performance in all domains was moderately to strongly related to thalamic volume in the MS group (r = 0.506 to 0.724, p < 0.005), and thalamic volume entered and remained in all regression models predicting cognitive performance. Thalamic volume showed a weak relationship to physical disability score (r = -0.316, p = 0.005).
CONCLUSION: These findings suggest that thalamic atrophy is a clinically relevant biomarker of the neurodegenerative disease process in multiple sclerosis.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17875909     DOI: 10.1212/01.wnl.0000276992.17011.b5

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  172 in total

1.  Core features of frontotemporal dementia recapitulated in progranulin knockout mice.

Authors:  N Ghoshal; J T Dearborn; D F Wozniak; N J Cairns
Journal:  Neurobiol Dis       Date:  2011-09-10       Impact factor: 5.996

Review 2.  Neuropsychological rehabilitation in adult multiple sclerosis.

Authors:  F Mattioli; C Stampatori; F Bellomi; R Capra; M Rocca; M Filippi
Journal:  Neurol Sci       Date:  2010-11       Impact factor: 3.307

3.  Connectivity-based parcellation of the thalamus in multiple sclerosis and its implications for cognitive impairment: A multicenter study.

Authors:  Alvino Bisecco; Maria A Rocca; Elisabetta Pagani; Laura Mancini; Christian Enzinger; Antonio Gallo; Hugo Vrenken; Maria Laura Stromillo; Massimiliano Copetti; David L Thomas; Franz Fazekas; Gioacchino Tedeschi; Frederik Barkhof; Nicola De Stefano; Massimo Filippi
Journal:  Hum Brain Mapp       Date:  2015-04-14       Impact factor: 5.038

4.  Toward a better understanding of brain lesions during metachromatic leukodystrophy evolution.

Authors:  A Martin; C Sevin; C Lazarus; C Bellesme; P Aubourg; C Adamsbaum
Journal:  AJNR Am J Neuroradiol       Date:  2012-04-26       Impact factor: 3.825

Review 5.  Current and new directions in MRI in multiple sclerosis.

Authors:  Eric C Klawiter
Journal:  Continuum (Minneap Minn)       Date:  2013-08

6.  The consequence of cerebral small vessel disease: Linking brain atrophy to motor impairment in the elderly.

Authors:  Ning Su; Xinyu Liang; Fei-Fei Zhai; Li-Xin Zhou; Jun Ni; Ming Yao; Feng Tian; Shu-Yang Zhang; Zheng-Yu Jin; Li-Ying Cui; Gaolang Gong; Yi-Cheng Zhu
Journal:  Hum Brain Mapp       Date:  2018-06-28       Impact factor: 5.038

Review 7.  Causes, effects and connectivity changes in MS-related cognitive decline.

Authors:  Carolina de Medeiros Rimkus; Martijn D Steenwijk; Frederik Barkhof
Journal:  Dement Neuropsychol       Date:  2016 Jan-Mar

8.  Corpus callosum atrophy correlates with gray matter atrophy in patients with multiple sclerosis.

Authors:  Eric C Klawiter; Antonia Ceccarelli; Ashish Arora; Jonathan Jackson; Sonya Bakshi; Gloria Kim; Jennifer Miller; Shahamat Tauhid; Christian von Gizycki; Rohit Bakshi; Mohit Neema
Journal:  J Neuroimaging       Date:  2014-05-09       Impact factor: 2.486

Review 9.  Imaging as an Outcome Measure in Multiple Sclerosis.

Authors:  Daniel Ontaneda; Robert J Fox
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

10.  Short-latency afferent inhibition predicts verbal memory performance in patients with multiple sclerosis.

Authors:  Laura Cucurachi; Paolo Immovilli; Franco Granella; Giovanni Pavesi; Luigi Cattaneo
Journal:  J Neurol       Date:  2008-10-07       Impact factor: 4.849

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.