Literature DB >> 28164212

Brain Involvement in Myotonic Dystrophy Type 1: A Morphometric and Diffusion Tensor Imaging Study with Neuropsychological Correlation.

T Cabada1, M Iridoy2, I Jericó2, P Lecumberri3, R Seijas2, A Gargallo1, M Gomez3.   

Abstract

OBJECTIVE: Myotonic dystrophy type 1 (DM1), the most prevalent inherited neuromuscular disease in adults, is a genetic multisystem disorder with a well-established but not well-characterized cerebral involvement. The aim of this study was to evaluate the presence of white matter and gray matter abnormalities in DM1 patients and to investigate their relationship with neurocognitive dysfunction.
METHODS: A total of 42 DM1 patients and 42 healthy controls were included in the study. Clinical, cognitive, and magnetic resonance imaging evaluations, including the use of structural and diffusion tensor imaging (DTI) techniques, were performed. White matter lesion (WML) load, volumetric analysis, and diffusivity changes were assessed and correlated with clinical and neuropsychological test findings.
RESULTS: WMLs were significantly more frequent in DM1 patients (p < .001), and anterior temporal lobe lesions were only found in the patient group. Global and regional cortical volume loss and corpus callosum atrophy were found. Diffuse white matter DTI abnormalities, including fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were observed with sparing of the internal capsule. Subcortical structures showed volume loss and increased median diffusivity. Neuropsychological evaluation showed significant impairment in several cognitive functions, but only visuospatial impairment was correlated with white matter abnormalities and cortical atrophy. Daytime sleepiness was associated with WML and ventral diencephalon and pallidum volume loss.
CONCLUSION: DM1 produces a widespread involvement of white matter and gray matter, including cortical and subcortical structures. These structural abnormalities are involved in the progressive neuropsychological functional impairment in these patients.
© The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Diffusion tensor imaging; Magnetic resonance imaging; Myotonic dystrophy; White matter

Mesh:

Year:  2017        PMID: 28164212     DOI: 10.1093/arclin/acx008

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  17 in total

1.  Longitudinal study in patients with myotonic dystrophy type 1: correlation of brain MRI abnormalities with cognitive performances.

Authors:  T Cabada; J Díaz; M Iridoy; P López; I Jericó; P Lecumberri; B Remirez; R Seijas; M Gomez
Journal:  Neuroradiology       Date:  2020-11-25       Impact factor: 2.804

2.  Encoding of facial expressions in individuals with adult-onset myotonic dystrophy type 1.

Authors:  Claire Johnson; Kathleen E Langbehn; Jeffrey D Long; David Moser; Stephen Cross; Laurie Gutmann; Peggy C Nopoulos; Ellen van der Plas
Journal:  J Clin Exp Neuropsychol       Date:  2020-10-07       Impact factor: 2.475

3.  Structural white matter networks in myotonic dystrophy type 1.

Authors:  Maud van Dorst; Kees Okkersen; Roy P C Kessels; Frederick J A Meijer; Darren G Monckton; Baziel G M van Engelen; Anil M Tuladhar; Joost Raaphorst
Journal:  Neuroimage Clin       Date:  2018-11-28       Impact factor: 4.881

4.  Tracking the brain in myotonic dystrophies: A 5-year longitudinal follow-up study.

Authors:  Carla Gliem; Martina Minnerop; Sandra Roeske; Hanna Gärtner; Jan-Christoph Schoene-Bake; Sandra Adler; Juri-Alexander Witt; Felix Hoffstaedter; Christiane Schneider-Gold; Regina C Betz; Christoph Helmstaedter; Marc Tittgemeyer; Katrin Amunts; Thomas Klockgether; Bernd Weber; Cornelia Kornblum
Journal:  PLoS One       Date:  2019-03-07       Impact factor: 3.240

5.  Characterization of Iron Accumulation in Deep Gray Matter in Myotonic Dystrophy Type 1 and 2 Using Quantitative Susceptibility Mapping and R2* Relaxometry: A Magnetic Resonance Imaging Study at 3 Tesla.

Authors:  Sevda Ates; Andreas Deistung; Ruth Schneider; Christian Prehn; Carsten Lukas; Jürgen R Reichenbach; Christiane Schneider-Gold; Barbara Bellenberg
Journal:  Front Neurol       Date:  2019-12-13       Impact factor: 4.003

6.  Brain Structural Features of Myotonic Dystrophy Type 1 and their Relationship with CTG Repeats.

Authors:  Ellen van der Plas; Mark J Hamilton; Jacob N Miller; Timothy R Koscik; Jeffrey D Long; Sarah Cumming; Julija Povilaikaite; Maria Elena Farrugia; John McLean; Ravi Jampana; Vincent A Magnotta; Laurie Gutmann; Darren G Monckton; Peggy C Nopoulos
Journal:  J Neuromuscul Dis       Date:  2019

7.  Cognitive Deficits, Apathy, and Hypersomnolence Represent the Core Brain Symptoms of Adult-Onset Myotonic Dystrophy Type 1.

Authors:  Jacob N Miller; Alison Kruger; David J Moser; Laurie Gutmann; Ellen van der Plas; Timothy R Koscik; Sarah A Cumming; Darren G Monckton; Peggy C Nopoulos
Journal:  Front Neurol       Date:  2021-07-01       Impact factor: 4.003

8.  Neuropsychological and Psychological Functioning Aspects in Myotonic Dystrophy Type 1 Patients in Italy.

Authors:  Edward Callus; Enrico G Bertoldo; Maria Beretta; Sara Boveri; Rosanna Cardani; Barbara Fossati; Elisa Brigonzi; Giovanni Meola
Journal:  Front Neurol       Date:  2018-09-19       Impact factor: 4.003

Review 9.  Current Progress in CNS Imaging of Myotonic Dystrophy.

Authors:  Martina Minnerop; Carla Gliem; Cornelia Kornblum
Journal:  Front Neurol       Date:  2018-08-21       Impact factor: 4.003

10.  Outcome Measures for Central Nervous System Evaluation in Myotonic Dystrophy Type 1 May Be Confounded by Deficits in Motor Function or Insight.

Authors:  Mark J Hamilton; John McLean; Sarah Cumming; Bob Ballantyne; Josephine McGhie; Ravi Jampana; Cheryl Longman; Jonathan J Evans; Darren G Monckton; Maria Elena Farrugia
Journal:  Front Neurol       Date:  2018-10-02       Impact factor: 4.003

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