Literature DB >> 29082510

Brain signal intensity changes as biomarkers in amyotrophic lateral sclerosis.

Juan F Vázquez-Costa1,2,3, Miguel Mazón4, Joan Carreres-Polo4, David Hervás5, Jordi Pérez-Tur6,7,8, Luis Martí-Bonmatí4, Teresa Sevilla1,2,3,9.   

Abstract

OBJECTIVES: To evaluate the contribution of the demographical, clinical, analytical and genetic factors to brain signal intensity changes in T2-weighted MR images in amyotrophic lateral sclerosis (ALS) patients and controls.
METHODS: Susceptibility-weighted and FLAIR sequences were obtained in a 3T MR scanner. Iron-related hypointensities in the motor cortex (IRhMC) and hyperintensities of the corticospinal tract (HCT) were qualitatively scored. Age, gender, family history and clinical variables were recorded. Baseline levels of ferritin were measured. C9orf72 was tested in all patients and SOD1 only in familial ALS patients not carrying a C9orf72 expansion. Patients who carried a mutation were categorized as genetic. Associations of these variables with visual scores were assessed with multivariable analysis.
RESULTS: A total of 102 ALS patients (92 non-genetic and 10 genetic) and 48 controls (28 ALS mimics and 20 healthy controls) were recruited. In controls, IRhMC associated with age, but HCT did not. In ALS patients, both HTC and IRhMC strongly associated with clinical UMN impairment and bulbar onset. The intensity/extent of IRhMC in the different motor homunculus regions (lower limbs, upper limbs and bulbar) were linked to the symptoms onset site. Between genetic and sporadic patients, no difference in IRhMC and HCT was found.
CONCLUSIONS: IRhMC and HCT are reliable markers of UMN degeneration in ALS patients and are more frequent in bulbar onset patients, independently of the mutation status. Age should be considered when evaluating IRhMC. The regional measurement of IRhMC following the motor homunculus could be used as a measure of disease progression.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  FLAIR; amyotrophic lateral sclerosis; brain iron; corticospinal tract; magnetic resonance imaging; susceptibility weight imaging

Mesh:

Year:  2017        PMID: 29082510     DOI: 10.1111/ane.12863

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  10 in total

Review 1.  Conservative iron chelation for neurodegenerative diseases such as Parkinson's disease and amyotrophic lateral sclerosis.

Authors:  David Devos; Z Ioav Cabantchik; Caroline Moreau; Véronique Danel; Laura Mahoney-Sanchez; Hind Bouchaoui; Flore Gouel; Anne-Sophie Rolland; James A Duce; Jean-Christophe Devedjian
Journal:  J Neural Transm (Vienna)       Date:  2020-01-07       Impact factor: 3.575

2.  Amyotrophic lateral sclerosis phenotypes significantly differ in terms of magnetic susceptibility properties of the precentral cortex.

Authors:  Giorgio Conte; Valeria Elisa Contarino; Silvia Casale; Claudia Morelli; Sara Sbaraini; Elisa Scola; Francesca Trogu; Silvia Siggillino; Claudia Maria Cinnante; Luca Caschera; Francesco Maria Lo Russo; Fabio Maria Triulzi; Vincenzo Silani
Journal:  Eur Radiol       Date:  2021-01-05       Impact factor: 5.315

Review 3.  Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis.

Authors:  Miguel Mazón; Juan Francisco Vázquez Costa; Amadeo Ten-Esteve; Luis Martí-Bonmatí
Journal:  Front Neurosci       Date:  2018-10-25       Impact factor: 4.677

Review 4.  Biomarkers in Motor Neuron Disease: A State of the Art Review.

Authors:  Nick S Verber; Stephanie R Shepheard; Matilde Sassani; Harry E McDonough; Sophie A Moore; James J P Alix; Iain D Wilkinson; Tom M Jenkins; Pamela J Shaw
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

5.  Value of fluid-attenuated inversion recovery MRI data analyzed by the lesion segmentation toolbox in amyotrophic lateral sclerosis.

Authors:  Anna M Wirth; Siw Johannesen; Andrei Khomenko; Dobri Baldaranov; Tim-Henrik Bruun; Christina Wendl; Gerhard Schuierer; Mark W Greenlee; Ulrich Bogdahn
Journal:  J Magn Reson Imaging       Date:  2018-12-19       Impact factor: 4.813

6.  Presenilin-1 Mutations Are a Cause of Primary Lateral Sclerosis-Like Syndrome.

Authors:  Juan Francisco Vázquez-Costa; María Payá-Montes; Marina Martínez-Molina; Teresa Jaijo; Jazek Szymanski; Miguel Mazón; Pablo Sopena-Novales; Jordi Pérez-Tur; Teresa Sevilla
Journal:  Front Mol Neurosci       Date:  2021-08-30       Impact factor: 5.639

7.  Distribution Indices of Magnetic Susceptibility Values in the Primary Motor Cortex Enable to Classify Patients with Amyotrophic Lateral Sclerosis.

Authors:  Mauro Costagli; Graziella Donatelli; Paolo Cecchi; Paolo Bosco; Gianmichele Migaleddu; Gabriele Siciliano; Mirco Cosottini
Journal:  Brain Sci       Date:  2022-07-18

8.  Motor cortical patterns of upper motor neuron pathology in amyotrophic lateral sclerosis: A 3 T MRI study with iron-sensitive sequences.

Authors:  Graziella Donatelli; Mauro Costagli; Paolo Cecchi; Gianmichele Migaleddu; Francesca Bianchi; Paolo Frumento; Gabriele Siciliano; Mirco Cosottini
Journal:  Neuroimage Clin       Date:  2022-07-29       Impact factor: 4.891

9.  Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases-A systematic review and meta-analysis.

Authors:  Charlotte Zejlon; Dominik Nakhostin; Sebastian Winklhofer; Athina Pangalu; Zsolt Kulcsar; Sebastian Lewandowski; Johannes Finnsson; Fredrik Piehl; Caroline Ingre; Tobias Granberg; Benjamin Victor Ineichen
Journal:  Front Neurol       Date:  2022-08-30       Impact factor: 4.086

10.  MRI cortical feature of bulbar impairment in patients with amyotrophic lateral sclerosis.

Authors:  Graziella Donatelli; Elena Caldarazzo Ienco; Mauro Costagli; Gianmichele Migaleddu; Paolo Cecchi; Gabriele Siciliano; Mirco Cosottini
Journal:  Neuroimage Clin       Date:  2019-07-15       Impact factor: 4.881

  10 in total

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