Literature DB >> 16998647

Simple versus complex assessment of white matter hyperintensities in relation to physical performance and cognition: the LADIS study.

A A Gouw1, W M Van der Flier, E C W van Straaten, F Barkhof, J M Ferro, H Baezner, L Pantoni, D Inzitari, T Erkinjuntti, L O Wahlund, G Waldemar, R Schmidt, F Fazekas, Ph Scheltens.   

Abstract

BACKGROUND: White matter hyperintensities (WMH) on MRI are associated with disorders of gait and balance and with cognitive impairment. The most suitable method to assess WMH in relation to the clinical evaluation of disturbances in these areas has not yet been established. AIM: To compare a simple visual rating scale, a detailed visual rating scale and volumetric assessment of WMH with respect to their associations with clinical measures of physical performance and cognition.
METHODS: Data were drawn from the multicentre, multinational LADIS study. Data of 574 subjects were available. MRI analysis included assessment of WMH using the simple Fazekas scale, the more complex Scheltens scale and a semi-automated volumetric method. Disturbances of gait and balance and general cognitive function were assessed using the Short Physical Performance Battery (SPPB) and the Mini Mental State Examination (MMSE), respectively.
RESULTS: Irrespective of the method of measuring WMH, subjects with disturbances of gait and balance (SPPB < or = 10) had more WMH than subjects with normal physical performance. Subjects with mild cognitive deficits (MMSE < or = 25) had more WMH than subjects with normal cognition. Correlations between clinical measures and WMH were equal across methods of WMH measurement (SPPB: Spearman r = -0.22, -0.25, -0.26, all p < 0.001; MMSE: Spearman r = -0.11, -0.10, -0.09, all p < 0.05, for Fazekas scale, Scheltens scale and volumetry, respectively). These associations remained significant and comparable after correcting for age, gender and education in multivariate linear regression analyses.
CONCLUSION: Simple and complex measures of WMH yield comparable associations with measures of physical performance and cognition. This suggests that a simple visual rating scale may be sufficient, when analyzing relationships between clinical parameters and WMH in a clinical setting.

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Year:  2006        PMID: 16998647     DOI: 10.1007/s00415-006-0193-5

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  25 in total

Review 1.  CT and MRI rating of white matter lesions.

Authors:  Franz Fazekas; F Barkhof; L O Wahlund; L Pantoni; T Erkinjuntti; P Scheltens; R Schmidt
Journal:  Cerebrovasc Dis       Date:  2002       Impact factor: 2.762

Review 2.  Variable agreement between visual rating scales for white matter hyperintensities on MRI. Comparison of 13 rating scales in a poststroke cohort.

Authors:  R Mäntylä; T Erkinjuntti; O Salonen; H J Aronen; T Peltonen; T Pohjasvaara; C G Standertskjöld-Nordenstam
Journal:  Stroke       Date:  1997-08       Impact factor: 7.914

Review 3.  White matter changes on CT and MRI: an overview of visual rating scales. European Task Force on Age-Related White Matter Changes.

Authors:  P Scheltens; T Erkinjunti; D Leys; L O Wahlund; D Inzitari; T del Ser; F Pasquier; F Barkhof; R Mäntylä; J Bowler; A Wallin; J Ghika; F Fazekas; L Pantoni
Journal:  Eur Neurol       Date:  1998       Impact factor: 1.710

4.  Small vessel disease and general cognitive function in nondisabled elderly: the LADIS study.

Authors:  Wiesje M van der Flier; Elizabeth C W van Straaten; Frederik Barkhof; Ana Verdelho; Sofia Madureira; Leonardo Pantoni; Domenico Inzitari; Timo Erkinjuntti; Militta Crisby; Gunhild Waldemar; Reinhold Schmidt; Franz Fazekas; Philip Scheltens
Journal:  Stroke       Date:  2005-09-01       Impact factor: 7.914

5.  Clinical correlates of white matter findings on cranial magnetic resonance imaging of 3301 elderly people. The Cardiovascular Health Study.

Authors:  W T Longstreth; T A Manolio; A Arnold; G L Burke; N Bryan; C A Jungreis; P L Enright; D O'Leary; L Fried
Journal:  Stroke       Date:  1996-08       Impact factor: 7.914

6.  Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam Scan Study.

Authors:  F E de Leeuw; J C de Groot; E Achten; M Oudkerk; L M Ramos; R Heijboer; A Hofman; J Jolles; J van Gijn; M M Breteler
Journal:  J Neurol Neurosurg Psychiatry       Date:  2001-01       Impact factor: 10.154

7.  Impact of age-related cerebral white matter changes on the transition to disability -- the LADIS study: rationale, design and methodology.

Authors:  Leonardo Pantoni; Anna Maria Basile; Giovanni Pracucci; Kjell Asplund; Julien Bogousslavsky; Hugues Chabriat; Timo Erkinjuntti; Franz Fazekas; José M Ferro; Michael Hennerici; John O'brien; Philip Scheltens; Marieke C Visser; Lars-Olof Wahlund; Gunhild Waldemar; Anders Wallin; Domenico Inzitari
Journal:  Neuroepidemiology       Date:  2005       Impact factor: 3.282

8.  Variability and validity of a simple visual rating scale in grading white matter changes on magnetic resonance imaging.

Authors:  Yu Hua Fan; Wynnie W M Lam; Vincent C T Mok; Ru Xun Huang; Ka Sing Wong
Journal:  J Neuroimaging       Date:  2003-07       Impact factor: 2.486

9.  White matter lesions and disequilibrium in older people. I. Case-control comparison.

Authors:  R W Baloh; Q Yue; T M Socotch; K M Jacobson
Journal:  Arch Neurol       Date:  1995-10

10.  MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging.

Authors:  F Fazekas; J B Chawluk; A Alavi; H I Hurtig; R A Zimmerman
Journal:  AJR Am J Roentgenol       Date:  1987-08       Impact factor: 3.959

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  36 in total

Review 1.  Assessing the interplay between cognition and gait in the clinical setting.

Authors:  A H Snijders; C C Verstappen; M Munneke; B R Bloem
Journal:  J Neural Transm (Vienna)       Date:  2007-07-06       Impact factor: 3.575

2.  Functional outcomes for clinical trials in frail older persons: time to be moving.

Authors: 
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-02       Impact factor: 6.053

3.  Methadone use in a male with the FMRI premutation and FXTAS.

Authors:  Zukhrofi Muzar; Reymundo Lozano; Andrea Schneider; Patrick E Adams; Sultana M H Faradz; Flora Tassone; Randi J Hagerman
Journal:  Am J Med Genet A       Date:  2015-04-21       Impact factor: 2.802

Review 4.  Cerebral small vessel disease, cognitive reserve and cognitive dysfunction.

Authors:  Daniela Pinter; Christian Enzinger; Franz Fazekas
Journal:  J Neurol       Date:  2015-05-16       Impact factor: 4.849

5.  A quantitative postmortem MRI design sensitive to white matter hyperintensity differences and their relationship with underlying pathology.

Authors:  Melissa E Murray; Prashanthi Vemuri; Greg M Preboske; Matthew C Murphy; Katherine J Schweitzer; Joseph E Parisi; Clifford R Jack; Dennis W Dickson
Journal:  J Neuropathol Exp Neurol       Date:  2012-12       Impact factor: 3.685

Review 6.  Neuroimaging of mobility in aging: a targeted review.

Authors:  Roee Holtzer; Noah Epstein; Jeannette R Mahoney; Meltem Izzetoglu; Helena M Blumen
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-04-16       Impact factor: 6.053

Review 7.  White matter hyperintensities, cognitive impairment and dementia: an update.

Authors:  Niels D Prins; Philip Scheltens
Journal:  Nat Rev Neurol       Date:  2015-02-17       Impact factor: 42.937

8.  Decoupling of structural and functional brain connectivity in older adults with white matter hyperintensities.

Authors:  Y D Reijmer; A P Schultz; A Leemans; M J O'Sullivan; M E Gurol; R Sperling; S M Greenberg; A Viswanathan; T Hedden
Journal:  Neuroimage       Date:  2015-05-27       Impact factor: 6.556

9.  Regional Gray Matter Atrophy Coexistent with Occipital Periventricular White Matter Hyper Intensities.

Authors:  Dazhi Duan; Congyang Li; Lin Shen; Chun Cui; Tongsheng Shu; Jian Zheng
Journal:  Front Aging Neurosci       Date:  2016-09-07       Impact factor: 5.750

10.  Shape abnormalities of the caudate nucleus correlate with poorer gait and balance: results from a subset of the LADIS study.

Authors:  Matthew D Macfarlane; Jeffrey C L Looi; Mark Walterfang; Gabriela Spulber; Dennis Velakoulis; Martin Styner; Milita Crisby; Eva Orndahl; Timo Erkinjuntti; Gunhild Waldemar; Ellen Garde; Michael G Hennerici; Hansjörg Bäzner; Christian Blahak; Anders Wallin; Lars-Olof Wahlund
Journal:  Am J Geriatr Psychiatry       Date:  2013-08-01       Impact factor: 4.105

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