Literature DB >> 25616483

Thalamus structure and function determine severity of cognitive impairment in multiple sclerosis.

Menno M Schoonheim1, Hanneke E Hulst2, Roemer B Brandt2, Myrte Strik2, Alle Meije Wink2, Bernard M J Uitdehaag2, Frederik Barkhof2, Jeroen J G Geurts2.   

Abstract

OBJECTIVE: This study investigates whether changes in functional connectivity, diffusivity, and volume of the thalamus can explain different severities of cognitive impairment in multiple sclerosis (MS).
METHODS: An inception cohort of 157 patients with MS (104 women, mean age 41 years), 6 years postdiagnosis, was divided into 3 groups: cognitively preserved (CP, n = 108), mildly cognitively impaired (MCI, n = 22), and more severely cognitively impaired (SCI, n = 27). These groups were matched to 47 healthy controls (HC, 28 women, mean age 41 years). Thalamic volume, thalamic skeleton diffusivity (fractional anisotropy [FA] and mean diffusivity [MD]), and thalamic resting-state functional connectivity (FC) were compared between groups.
RESULTS: Thalamic volume was significantly lower in all patient groups compared to controls, with lowest volumes in patients with SCI, and no difference between CP and MCI. Thalamic skeleton FA was decreased in SCI compared to HC only; MD was increased in SCI compared to all other groups. Thalamic FC was increased in SCI with a total of 15 regions, mainly sensorimotor, frontal, and occipital parts of the brain. Thalamic volume, FC, and MD remained independent predictors in a linear regression model (R(2) = 0.46), together with male sex and a lower level of education. Lesion and whole-brain volumes were not significant predictors.
CONCLUSIONS: These findings indicate that thalamic changes in structure and function are highly informative regarding overall cognitive performance in MS. Increased thalamic FC only became apparent in SCI, possibly as a sign of maladaption.
© 2015 American Academy of Neurology.

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Year:  2015        PMID: 25616483     DOI: 10.1212/WNL.0000000000001285

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


  61 in total

Review 1.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

2.  Determinants of Deep Gray Matter Atrophy in Multiple Sclerosis: A Multimodal MRI Study.

Authors:  G Pontillo; S Cocozza; R Lanzillo; C Russo; M D Stasi; C Paolella; E A Vola; C Criscuolo; P Borrelli; G Palma; E Tedeschi; V B Morra; A Elefante; A Brunetti
Journal:  AJNR Am J Neuroradiol       Date:  2018-12-20       Impact factor: 3.825

3.  Multiple sclerosis: neuroimaging provides insights into cognitive dysfunction in MS.

Authors:  Hemi Malkki
Journal:  Nat Rev Neurol       Date:  2015-02-10       Impact factor: 42.937

4.  Different patterns of longitudinal brain and spinal cord changes and their associations with disability progression in NMO and MS.

Authors:  Yaou Liu; Yunyun Duan; Jing Huang; Zhuoqiong Ren; Zheng Liu; Huiqing Dong; Florian Weiler; Horst K Hahn; Fu-Dong Shi; Helmut Butzkueven; Frederik Barkhof; Kuncheng Li
Journal:  Eur Radiol       Date:  2017-06-30       Impact factor: 5.315

5.  The role of the thalamus and hippocampus in episodic memory performance in patients with multiple sclerosis.

Authors:  Katherine A Koenig; Stephen M Rao; Mark J Lowe; Jian Lin; Ken E Sakaie; Lael Stone; Robert A Bermel; Bruce D Trapp; Micheal D Phillips
Journal:  Mult Scler       Date:  2018-03-07       Impact factor: 6.312

6.  Association of Visual Impairment in Neuromyelitis Optica Spectrum Disorder With Visual Network Reorganization.

Authors:  Carsten Finke; Hanna Zimmermann; Florence Pache; Frederike C Oertel; Velina Sevdalinova Chavarro; Yelyzaveta Kramarenko; Judith Bellmann-Strobl; Klemens Ruprecht; Alexander U Brandt; Friedemann Paul
Journal:  JAMA Neurol       Date:  2018-03-01       Impact factor: 18.302

7.  Cortical quantitative MRI parameters are related to the cognitive status in patients with relapsing-remitting multiple sclerosis.

Authors:  Alexandra van Wijnen; Franca Petrov; Michelle Maiworm; Stefan Frisch; Christian Foerch; Elke Hattingen; Helmuth Steinmetz; Johannes C Klein; Ralf Deichmann; Marlies Wagner; René-Maxime Gracien
Journal:  Eur Radiol       Date:  2019-10-10       Impact factor: 5.315

8.  Functional brain networks: linking thalamic atrophy to clinical disability in multiple sclerosis, a multimodal fMRI and MEG study.

Authors:  Prejaas Tewarie; Menno M Schoonheim; Daphne I Schouten; Chris H Polman; Lisanne J Balk; Bernard M J Uitdehaag; Jeroen J G Geurts; Arjan Hillebrand; Frederik Barkhof; Cornelis J Stam
Journal:  Hum Brain Mapp       Date:  2014-10-08       Impact factor: 5.038

9.  Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden.

Authors:  G C Chiang; J Hu; E Morris; Y Wang; S A Gauthier
Journal:  AJNR Am J Neuroradiol       Date:  2018-01-25       Impact factor: 3.825

10.  Hippocampal and Deep Gray Matter Nuclei Atrophy Is Relevant for Explaining Cognitive Impairment in MS: A Multicenter Study.

Authors:  D Damjanovic; P Valsasina; M A Rocca; M L Stromillo; A Gallo; C Enzinger; H E Hulst; A Rovira; N Muhlert; N De Stefano; A Bisecco; F Fazekas; M J Arévalo; T A Yousry; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2016-09-29       Impact factor: 3.825

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