Literature DB >> 20157157

Early imaging predicts later cognitive impairment in primary progressive multiple sclerosis.

S Penny1, Z Khaleeli, L Cipolotti, A Thompson, M Ron.   

Abstract

BACKGROUND: Cognitive impairment in primary progressive multiple sclerosis (PPMS) is common and correlates modestly with contemporary lesion burden and brain volume. Using a cohort/case control methodology, we explore the ability of MRI abnormalities, including those in the normal-appearing brain tissue, to predict future cognitive dysfunction in PPMS.
METHODS: Thirty-one patients recruited into a longitudinal study within 5 years of onset of PPMS were assessed neuropsychologically on average 5.5 years later along with 31 matched healthy controls. MRI data obtained at entry into the study (lesion metrics, brain volumes, magnetization transfer ratio histogram metrics, and magnetic resonance spectroscopy metabolite concentrations) were used to predict cognitive impairment at follow-up.
RESULTS: Twenty-nine percent of patients were categorized as cognitively impaired. T2 lesion volume was the best MRI predictor of overall cognitive function and performance on tests of verbal memory and attention/speed of information processing. Low gray matter magnetization transfer ratio was the best predictor of poor performance on a further test of attention/speed of information processing and an executive function test. Low gray and white matter volumes were independent predictors of poor performance on a second test of executive function.
CONCLUSIONS: MRI abnormalities observed in early primary progressive multiple sclerosis can predict cognitive impairment 5 years later. While focal damage disrupting white matter tracts appears to be the most important predictor of subsequent cognitive dysfunction, gray matter pathology also plays a role.

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Year:  2010        PMID: 20157157     DOI: 10.1212/WNL.0b013e3181cff6a6

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


  12 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.  Normal-appearing white matter permeability distinguishes poor cognitive performance in processing speed and working memory.

Authors:  A Eilaghi; A Kassner; I Sitartchouk; P L Francis; R Jakubovic; A Feinstein; R I Aviv
Journal:  AJNR Am J Neuroradiol       Date:  2013-05-30       Impact factor: 3.825

Review 3.  The role of advanced magnetic resonance imaging techniques in primary progressive MS.

Authors:  Maria A Rocca; Martina Absinta; Massimo Filippi
Journal:  J Neurol       Date:  2011-08-04       Impact factor: 4.849

Review 4.  White matter: organization and functional relevance.

Authors:  Christopher M Filley
Journal:  Neuropsychol Rev       Date:  2010-03-31       Impact factor: 7.444

5.  Occurrence of neuronal dysfunction during the first 5 years of multiple sclerosis is associated with cognitive deterioration.

Authors:  Wafaa Zaaraoui; Françoise Reuter; Audrey Rico; Anthony Faivre; Lydie Crespy; Irina Malikova; Elisabeth Soulier; Patrick Viout; Yann Le Fur; Sylviane Confort-Gouny; Patrick J Cozzone; Jean Pelletier; Jean-Philippe Ranjeva; Bertrand Audoin
Journal:  J Neurol       Date:  2010-12-04       Impact factor: 4.849

6.  Thalamic damage predicts the evolution of primary-progressive multiple sclerosis at 5 years.

Authors:  S Mesaros; M A Rocca; E Pagani; M P Sormani; M Petrolini; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-10       Impact factor: 3.825

7.  Corpus callosum damage predicts disability progression and cognitive dysfunction in primary-progressive MS after five years.

Authors:  Benedetta Bodini; Mara Cercignani; Zhaleh Khaleeli; David H Miller; Maria Ron; Sophie Penny; Alan J Thompson; Olga Ciccarelli
Journal:  Hum Brain Mapp       Date:  2012-02-13       Impact factor: 5.038

Review 8.  Correlations between MRI and Information Processing Speed in MS: A Meta-Analysis.

Authors:  S M Rao; A L Martin; R Huelin; E Wissinger; Z Khankhel; E Kim; K Fahrbach
Journal:  Mult Scler Int       Date:  2014-03-25

9.  Predictive value of different conventional and non-conventional MRI-parameters for specific domains of cognitive function in multiple sclerosis.

Authors:  Daniela Pinter; Michael Khalil; Alexander Pichler; Christian Langkammer; Stefan Ropele; Peter B Marschik; Siegrid Fuchs; Franz Fazekas; Christian Enzinger
Journal:  Neuroimage Clin       Date:  2015-03-05       Impact factor: 4.881

10.  Cuprizone does not induce CNS demyelination in nonhuman primates.

Authors:  Zhihong Chen; Jacqueline T Chen; Matthew Johnson; Zachary C Gossman; Megan Hendrickson; Ken Sakaie; Clarissa Martinez-Rubio; John T Gale; Bruce D Trapp
Journal:  Ann Clin Transl Neurol       Date:  2014-12-18       Impact factor: 4.511

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