Literature DB >> 1620336

Neuropsychological and structural brain lesions in multiple sclerosis: a regional analysis.

T Swirsky-Sacchetti1, D R Mitchell, J Seward, C Gonzales, F Lublin, R Knobler, H L Field.   

Abstract

Quantified lesion scores derived from MRI correlate significantly with neuropsychological testing in patients with multiple sclerosis (MS). Variables used to reflect disease severity include total lesion area (TLA), ventricular-brain ratio, and size of the corpus callosum. We used these general measures of cerebral lesion involvement as well as specific ratings of lesion involvement by frontal, temporal, and parieto-occipital regions to quantify the topographic distribution of lesions and consequent effects upon cognitive function. Lesions were heavily distributed in the parieto-occipital regions bilaterally. Neuropsychological tests were highly related to all generalized measures of cerebral involvement, with TLA being the best predictor of neuropsychological deficit. Mean TLA for the cognitively impaired group was 28.30 cm2 versus 7.41 cm2 for the cognitively intact group (p less than 0.0001). Multiple regression analyses revealed that left frontal lobe involvement best predicted impaired abstract problem solving, memory, and word fluency. Left parieto-occipital lesion involvement best predicted deficits in verbal learning and complex visual-integrative skills. Analysis of regional cerebral lesion load may assist in understanding the particular pattern and course of cognitive deficits in MS.

Entities:  

Mesh:

Year:  1992        PMID: 1620336     DOI: 10.1212/wnl.42.7.1291

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


  28 in total

Review 1.  Magnetic resonance in monitoring the natural history of multiple sclerosis and the effects of treatment.

Authors:  M Filippi; M Rovaris; G Comi
Journal:  Ital J Neurol Sci       Date:  1996-12

2.  Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis.

Authors:  M Filippi; C Tortorella; M Rovaris; M Bozzali; F Possa; M P Sormani; G Iannucci; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-02       Impact factor: 10.154

3.  Deconstructing spatial working memory and attention deficits in multiple sclerosis.

Authors:  Leon Gmeindl; Susan M Courtney
Journal:  Neuropsychology       Date:  2011-11-07       Impact factor: 3.295

Review 4.  The neuropsychology of multiple sclerosis: contributions of neuroimaging research.

Authors:  H A Wishart; L Flashman; A J Saykin
Journal:  Curr Psychiatry Rep       Date:  2001-10       Impact factor: 5.285

5.  Regional lobar atrophy predicts memory impairment in multiple sclerosis.

Authors:  Ralph H B Benedict; Robert Zivadinov; Dominic A Carone; Bianca Weinstock-Guttman; Jeff Gaines; Cosimo Maggiore; Jitendra Sharma; Maria-Antonietta Tomassi; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2005-08       Impact factor: 3.825

6.  MR lesion load and cognitive function in patients with relapsing-remitting multiple sclerosis.

Authors:  J C Fulton; R I Grossman; J Udupa; L J Mannon; M Grossman; L Wei; M Polansky; D L Kolson
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

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

Authors:  D M Moriarty; A J Blackshaw; P R Talbot; H L Griffiths; J S Snowden; V F Hillier; S Capener; R D Laitt; A Jackson
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

Review 8.  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

9.  Perfusion magnetic resonance imaging correlates of neuropsychological impairment in multiple sclerosis.

Authors:  Matilde Inglese; Sumita Adhya; Glyn Johnson; James S Babb; Laura Miles; Hina Jaggi; Joseph Herbert; Robert I Grossman
Journal:  J Cereb Blood Flow Metab       Date:  2007-05-02       Impact factor: 6.200

10.  Translational Meta-analytical Methods to Localize the Regulatory Patterns of Neurological Disorders in the Human Brain.

Authors:  Vanessa Sochat; Maude David; Dennis P Wall
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05
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