Literature DB >> 28566162

Brain positron emission tomography in patients with myotonic dystrophy type 1 and type 2.

Stojan Peric1, Leposava Brajkovic2, Bozidar Belanovic1, Vera Ilic1, Biljana Salak-Djokic1, Ivana Basta1, Vidosava Rakocevic Stojanovic3.   

Abstract

AIM: To determine regions of reduced brain metabolism in patients with myotonic dystrophy type 1 (DM1) and type 2 (DM2) using 18F-fluoro-2-deoxy-d-glucose positron emission tomography (FDG-PET), and to analyse their potential association with cognitive deficit.
METHOD: Study included 29 patients (16 DM1 and 13 DM2). FDG-PET and detailed neuropsychological testing were performed in both groups.
RESULTS: The most common cognitive findings were executive, visuospatial, and naming dysfunction in DM1, and executive and naming dysfunction in DM2. FDG-PET showed the most prominent glucose hypometabolism in prefrontal, temporal, and pericentral regions in both DM1 and DM2 patients, with additional affection of insula and subcortical grey matter in DM2. In DM1 patients, we found association between right frontotemporal hypometabolism and executive dysfunction (p<0.05). In DM2 patients attention deficit was in association with prefrontal, insular, and striatal hypometabolism, as well as right frontotemporal hypometabolism (p<0.05). Executive dysfunction in DM2 was more common in patients with prefrontal and insular hypometabolism, right parietotemporal and frontotemporal hypometabolism, as well as left striatal hypometabolism (p<0.05). Patients with parietotemporal defect on FDG-PET were more likely to have naming dysfunction (p<0.01).
CONCLUSION: FDG-PET findings corresponded well with the results of neuropsychological testing. FDG-PET may be a good biomarker of central nervous system involvement in DM1 and DM2, but this hypothesis will have to be more strongly supported by larger studies.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brain positron emission tomography; Myotonic dystrophy type 1; Myotonic dystrophy type 2; Neuropsychology

Mesh:

Substances:

Year:  2017        PMID: 28566162     DOI: 10.1016/j.jns.2017.05.013

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  6 in total

Review 1.  Of Mice and Men: Advances in the Understanding of Neuromuscular Aspects of Myotonic Dystrophy.

Authors:  Sandra O Braz; Julien Acquaire; Geneviève Gourdon; Mário Gomes-Pereira
Journal:  Front Neurol       Date:  2018-07-10       Impact factor: 4.003

2.  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

3.  Elevated serum Neurofilament Light chain (NfL) as a potential biomarker of neurological involvement in Myotonic Dystrophy type 1 (DM1).

Authors:  Tommaso F Nicoletti; Salvatore Rossi; Maria Gabriella Vita; Alessia Perna; Gisella Guerrera; Federica Lino; Chiara Iacovelli; Daniele Di Natale; Anna Modoni; Luca Battistini; Gabriella Silvestri
Journal:  J Neurol       Date:  2022-05-16       Impact factor: 6.682

4.  Gray Matter Abnormalities in Myotonic Dystrophy Type 1: A Voxel-Wise Meta-Analysis.

Authors:  Qirui Jiang; Junyu Lin; Chunyu Li; Yanbing Hou; Huifang Shang
Journal:  Front Neurol       Date:  2022-07-07       Impact factor: 4.086

Review 5.  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

Review 6.  Towards Central Nervous System Involvement in Adults with Hereditary Myopathies.

Authors:  Jens Reimann; Cornelia Kornblum
Journal:  J Neuromuscul Dis       Date:  2020
  6 in total

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