Literature DB >> 33103324

Disease aggressiveness signatures of amyotrophic lateral sclerosis in white matter tracts revealed by the D50 disease progression model.

Robert Steinbach1, Nayana Gaur1, Annekathrin Roediger1, Thomas E Mayer2, Otto W Witte1,3, Tino Prell1,3, Julian Grosskreutz1,3.   

Abstract

Numerous neuroimaging studies in amyotrophic lateral sclerosis (ALS) have reported links between structural changes and clinical data; however phenotypic and disease course heterogeneity have occluded robust associations. The present study used the novel D50 model, which distinguishes between disease accumulation and aggressiveness, to probe correlations with measures of diffusion tensor imaging (DTI). DTI scans of 145 ALS patients and 69 controls were analyzed using tract-based-spatial-statistics of fractional anisotropy (FA), mean- (MD), radial (RD), and axial diffusivity (AD) maps. Intergroup contrasts were calculated between patients and controls, and between ALS subgroups: based on (a) the individual disease covered (Phase I vs. II) or b) patients' disease aggressiveness (D50 value). Regression analyses were used to probe correlations with model-derived parameters. Case-control comparisons revealed widespread ALS-related white matter pathology with decreased FA and increased MD/RD. These affected pathways showed also correlations with the accumulated disease for increased MD/RD, driven by the subgroup of Phase I patients. No significant differences were noted between patients in Phase I and II for any of the contrasts. Patients with high disease aggressiveness (D50 < 30 months) displayed increased AD/MD in bifrontal and biparietal pathways, which was corroborated by significant voxel-wise regressions with D50. Application of the D50 model revealed associations between DTI measures and ALS pathology in Phase I, representing individual disease accumulation early in disease. Patients' overall disease aggressiveness correlated robustly with the extent of DTI changes. We recommend the D50 model for studies developing/validating neuroimaging or other biomarkers for ALS.
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Entities:  

Keywords:  D50 model; TBSS; amyotrophic lateral sclerosis; diffusion tensor imaging; disease aggressiveness; disease progression

Mesh:

Year:  2020        PMID: 33103324      PMCID: PMC7814763          DOI: 10.1002/hbm.25258

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  59 in total

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2.  Progressive and widespread brain damage in ALS: MRI voxel-based morphometry and diffusion tensor imaging study.

Authors:  Joe Senda; Shigenori Kato; Tomotsugu Kaga; Mizuki Ito; Naoki Atsuta; Tomohiko Nakamura; Hirohisa Watanabe; Fumiaki Tanaka; Shinji Naganawa; Gen Sobue
Journal:  Amyotroph Lateral Scler       Date:  2011-01

3.  Radial diffusivity as an imaging biomarker for early diagnosis of non-demented amyotrophic lateral sclerosis.

Authors:  Yifang Bao; Liqin Yang; Yan Chen; Biyun Zhang; Haiqing Li; Weijun Tang; Daoying Geng; Yuxin Li
Journal:  Eur Radiol       Date:  2018-06-08       Impact factor: 5.315

4.  White matter pathology in ALS and lower motor neuron ALS variants: a diffusion tensor imaging study using tract-based spatial statistics.

Authors:  Johannes Prudlo; Charlotte Bißbort; Aenne Glass; Annette Grossmann; Karlheinz Hauenstein; Reiner Benecke; Stefan J Teipel
Journal:  J Neurol       Date:  2012-02-21       Impact factor: 4.849

5.  Quantitative brain MR imaging in amyotrophic lateral sclerosis.

Authors:  Jiří Keller; Josef Vymazal; Petr Ridzoň; Robert Rusina; Petr Kulišt'ák; Hana Malíková; Aaron M Rulseh; Otakar Keller; Robert Jech
Journal:  MAGMA       Date:  2011-03-15       Impact factor: 2.310

6.  A large-scale multicentre cerebral diffusion tensor imaging study in amyotrophic lateral sclerosis.

Authors:  Hans-Peter Müller; Martin R Turner; Julian Grosskreutz; Sharon Abrahams; Peter Bede; Varan Govind; Johannes Prudlo; Albert C Ludolph; Massimo Filippi; Jan Kassubek
Journal:  J Neurol Neurosurg Psychiatry       Date:  2016-01-08       Impact factor: 10.154

7.  Microstructural changes across different clinical milestones of disease in amyotrophic lateral sclerosis.

Authors:  Francesca Trojsi; Giuseppina Caiazzo; Daniele Corbo; Giovanni Piccirillo; Viviana Cristillo; Cinzia Femiano; Teresa Ferrantino; Mario Cirillo; Maria Rosaria Monsurrò; Fabrizio Esposito; Gioacchino Tedeschi
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

Review 8.  ALS Clinical Trials Review: 20 Years of Failure. Are We Any Closer to Registering a New Treatment?

Authors:  Dmitry Petrov; Colin Mansfield; Alain Moussy; Olivier Hermine
Journal:  Front Aging Neurosci       Date:  2017-03-22       Impact factor: 5.750

9.  Glial activation colocalizes with structural abnormalities in amyotrophic lateral sclerosis.

Authors:  Mohamad J Alshikho; Nicole R Zürcher; Marco L Loggia; Paul Cernasov; Daniel B Chonde; David Izquierdo Garcia; Julia E Yasek; Oluwaseun Akeju; Ciprian Catana; Bruce R Rosen; Merit E Cudkowicz; Jacob M Hooker; Nazem Atassi
Journal:  Neurology       Date:  2016-11-11       Impact factor: 9.910

Review 10.  Quantifying disease progression in amyotrophic lateral sclerosis.

Authors:  Neil G Simon; Martin R Turner; Steve Vucic; Ammar Al-Chalabi; Jeremy Shefner; Catherine Lomen-Hoerth; Matthew C Kiernan
Journal:  Ann Neurol       Date:  2014-09-30       Impact factor: 10.422

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Authors:  Iddo Magen; Nancy Sarah Yacovzada; Eran Yanowski; Anna Coenen-Stass; Julian Grosskreutz; Ching-Hua Lu; Linda Greensmith; Andrea Malaspina; Pietro Fratta; Eran Hornstein
Journal:  Nat Neurosci       Date:  2021-10-28       Impact factor: 24.884

2.  Alterations of Microstructure and Sodium Homeostasis in Fast Amyotrophic Lateral Sclerosis Progressors: A Brain DTI and Sodium MRI Study.

Authors:  M M El Mendili; A-M Grapperon; R Dintrich; J-P Stellmann; J-P Ranjeva; M Guye; A Verschueren; S Attarian; W Zaaraoui
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3.  Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics.

Authors:  Janine Thome; Robert Steinbach; Julian Grosskreutz; Daniel Durstewitz; Georgia Koppe
Journal:  Hum Brain Mapp       Date:  2021-10-16       Impact factor: 5.038

Review 4.  Feature selection from magnetic resonance imaging data in ALS: a systematic review.

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5.  Motor unit number index (MUNIX) in the D50 disease progression model reflects disease accumulation independently of disease aggressiveness in ALS.

Authors:  Theresa Ebersbach; Annekathrin Roediger; Robert Steinbach; Martin Appelfeller; Anke Tuemmler; Beatrice Stubendorff; Simon Schuster; Meret Herdick; Hubertus Axer; Otto W Witte; Julian Grosskreutz
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

6.  Disease aggressiveness signatures of amyotrophic lateral sclerosis in white matter tracts revealed by the D50 disease progression model.

Authors:  Robert Steinbach; Nayana Gaur; Annekathrin Roediger; Thomas E Mayer; Otto W Witte; Tino Prell; Julian Grosskreutz
Journal:  Hum Brain Mapp       Date:  2020-10-26       Impact factor: 5.038

7.  How to Arrange Follow-Up Time-Intervals for Longitudinal Brain MRI Studies in Neurodegenerative Diseases.

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  7 in total

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