Literature DB >> 10588125

Memory dysfunction in multiple sclerosis corresponds to juxtacortical lesion load on fast fluid-attenuated inversion-recovery MR images.

D M Moriarty1, A J Blackshaw, P R Talbot, H L Griffiths, J S Snowden, V F Hillier, S Capener, R D Laitt, A Jackson.   

Abstract

BACKGROUND AND
PURPOSE: MR imaging is a sensitive diagnostic tool and paraclinical marker of disease activity and prognosis in multiple sclerosis (MS), yet the role of MR imaging of MS is controversial. The aim of this study was to describe the relationship between cognitive function and MS lesion size and position, as shown on comparative images from conventional spin-echo (CSE) and fast fluid-attenuated inversion-recovery (fast FLAIR) MR studies.
METHODS: CSE and fast FLAIR sequences consisted of 40 noncontiguous, 3-mm-thick axial sections matched for geometric position in 18 patients with relapsing-remitting MS. Lesions were scored for size, anatomic position, and their comparative appearance on CSE and fast FLAIR images. The neuropsychological assessment tested general psychological performance, memory, and frontal lobe executive function.
RESULTS: Fast FLAIR images showed significantly more small (146 versus six) and medium-sized (18 versus four) juxtacortical lesions than did CSE sequences. Small juxtacortical lesions displayed only on fast FLAIR images had a distinctive appearance, suggestive of small areas of perivascular inflammation. The number of these lesions corresponded to reduced performance on the fifth and delayed trials of the Rey Auditory Verbal Learning memory function test.
CONCLUSION: Fast FLAIR images show small lesions at the juxtacortical boundary that are not seen on CSE studies. The presence of such lesions correlates with impaired retention of information in memory tasks, which is characteristic of cognitive problems in patients with MS.

Entities:  

Mesh:

Year:  1999        PMID: 10588125      PMCID: PMC7657812     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  45 in total

1.  Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load.

Authors:  L Wang; H M Lai; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-10       Impact factor: 10.154

2.  Functional correlates of callosal atrophy in relapsing-remitting multiple sclerosis patients. A preliminary MRI study.

Authors:  F J Barkhof; M Elton; J Lindeboom; M W Tas; W F Schmidt; O R Hommes; C H Polman; A Kok; J Valk
Journal:  J Neurol       Date:  1998-03       Impact factor: 4.849

3.  MRI lesion volume measurement in multiple sclerosis and its correlation with disability: a comparison of fast fluid attenuated inversion recovery (fFLAIR) and spin echo sequences.

Authors:  M L Gawne-Cain; J I O'Riordan; A Coles; B Newell; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-02       Impact factor: 10.154

Review 4.  Comparison of MRI criteria at first presentation to predict conversion to clinically definite multiple sclerosis.

Authors:  F Barkhof; M Filippi; D H Miller; P Scheltens; A Campi; C H Polman; G Comi; H J Adèr; N Losseff; J Valk
Journal:  Brain       Date:  1997-11       Impact factor: 13.501

5.  Functional basis of memory impairment in multiple sclerosis: a[18F]FDG PET study.

Authors:  E Paulesu; D Perani; F Fazio; G Comi; C Pozzilli; V Martinelli; M Filippi; V Bettinardi; G Sirabian; D Passafiume; A Anzini; G L Lenzi; N Canal; C Fieschi
Journal:  Neuroimage       Date:  1996-10       Impact factor: 6.556

6.  The prognostic value of brain MRI in clinically isolated syndromes of the CNS. A 10-year follow-up.

Authors:  J I O'Riordan; A J Thompson; D P Kingsley; D G MacManus; B E Kendall; P Rudge; W I McDonald; D H Miller
Journal:  Brain       Date:  1998-03       Impact factor: 13.501

7.  Comparison of MR pulse sequences in the detection of multiple sclerosis lesions.

Authors:  T A Yousry; M Filippi; C Becker; M A Horsfield; R Voltz
Journal:  AJNR Am J Neuroradiol       Date:  1997-05       Impact factor: 3.825

8.  Interferon beta-1b in the treatment of multiple sclerosis: final outcome of the randomized controlled trial. The IFNB Multiple Sclerosis Study Group and The University of British Columbia MS/MRI Analysis Group.

Authors: 
Journal:  Neurology       Date:  1995-07       Impact factor: 9.910

9.  Correlation of dementia, neuropsychological and MRI findings in multiple sclerosis.

Authors:  M Tsolaki; A Drevelegas; S Karachristianou; K Kapinas; D Divanoglou; K Routsonis
Journal:  Dementia       Date:  1994 Jan-Feb

10.  Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis.

Authors:  M Rovaris; M Filippi; M Falautano; L Minicucci; M A Rocca; V Martinelli; G Comi
Journal:  Neurology       Date:  1998-06       Impact factor: 9.910

View more
  10 in total

1.  Electrophysiological evidence for a defect in the processing of temporal sound patterns in multiple sclerosis.

Authors:  S J Jones; L Sprague; M Vaz Pato
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-11       Impact factor: 10.154

2.  Cortical lesions in multiple sclerosis: combined postmortem MR imaging and histopathology.

Authors:  Jeroen J G Geurts; Lars Bö; Petra J W Pouwels; Jonas A Castelijns; Chris H Polman; Frederik Barkhof
Journal:  AJNR Am J Neuroradiol       Date:  2005-03       Impact factor: 3.825

3.  A longitudinal study of brain atrophy and cognitive disturbances in the early phase of relapsing-remitting multiple sclerosis.

Authors:  R Zivadinov; J Sepcic; D Nasuelli; R De Masi; L M Bragadin; M A Tommasi; S Zambito-Marsala; R Moretti; A Bratina; M Ukmar; R S Pozzi-Mucelli; A Grop; G Cazzato; M Zorzon
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-06       Impact factor: 10.154

4.  Rapid quantification of global brain volumetry and relaxometry in patients with multiple sclerosis using synthetic magnetic resonance imaging.

Authors:  Jibin Cao; Xiaohan Xu; Jingyi Zhu; Puyeh Wu; Huize Pang; Guoguang Fan; Lingling Cui
Journal:  Quant Imaging Med Surg       Date:  2022-06

5.  3D MPRAGE improves classification of cortical lesions in multiple sclerosis.

Authors:  F Nelson; A Poonawalla; P Hou; J S Wolinsky; P A Narayana
Journal:  Mult Scler       Date:  2008-11       Impact factor: 6.312

6.  Does high-field MR imaging improve cortical lesion detection in multiple sclerosis?

Authors:  Jeroen J G Geurts; Erwin L A Blezer; Hugo Vrenken; Annette van der Toorn; Jonas A Castelijns; Chris H Polman; Petra J W Pouwels; Lars Bö; Frederik Barkhof
Journal:  J Neurol       Date:  2008-02-04       Impact factor: 4.849

7.  Cognitive presentation of multiple sclerosis: evidence for a cortical variant.

Authors:  M Zarei; S Chandran; A Compston; J Hodges
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-07       Impact factor: 10.154

8.  Longitudinal study of cognitive dysfunction in multiple sclerosis: neuropsychological, neuroradiological, and neurophysiological findings.

Authors:  M R Piras; I Magnano; E D G Canu; K S Paulus; W M Satta; A Soddu; M Conti; A Achene; G Solinas; I Aiello
Journal:  J Neurol Neurosurg Psychiatry       Date:  2003-07       Impact factor: 10.154

Review 9.  Gray matter imaging in multiple sclerosis: what have we learned?

Authors:  Hanneke E Hulst; Jeroen J G Geurts
Journal:  BMC Neurol       Date:  2011-12-12       Impact factor: 2.474

Review 10.  Meningeal and cortical grey matter pathology in multiple sclerosis.

Authors:  Bogdan F Gh Popescu; Claudia F Lucchinetti
Journal:  BMC Neurol       Date:  2012-03-07       Impact factor: 2.474

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.