Botulinum toxin injection changes resting state cerebellar connectivity in cervical dystonia.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 04 2021
Historique:
received: 20 06 2020
accepted: 19 03 2021
entrez: 16 4 2021
pubmed: 17 4 2021
medline: 19 11 2021
Statut: epublish

Résumé

In cervical dystonia, functional MRI (fMRI) evidence indicates changes in several resting state networks, which revert in part following the botulinum neurotoxin A (BoNT) therapy. Recently, the involvement of the cerebellum in dystonia has gained attention. The aim of our study was to compare connectivity between cerebellar subdivisions and the rest of the brain before and after BoNT treatment. Seventeen patients with cervical dystonia indicated for treatment with BoNT were enrolled (14 female, aged 50.2 ± 8.5 years, range 38-63 years). Clinical and fMRI examinations were carried out before and 4 weeks after BoNT injection. Clinical severity was evaluated using TWSTRS. Functional MRI data were acquired on a 1.5 T scanner during 8 min rest. Seed-based functional connectivity analysis was performed using data extracted from atlas-defined cerebellar areas in both datasets. Clinical scores demonstrated satisfactory BoNT effect. After treatment, connectivity decreased between the vermis lobule VIIIa and the left dorsal mesial frontal cortex. Positive correlations between the connectivity differences and the clinical improvement were detected for the right lobule VI, right crus II, vermis VIIIb and the right lobule IX. Our data provide evidence for modulation of cerebello-cortical connectivity resulting from successful treatment by botulinum neurotoxin.

Identifiants

pubmed: 33859210
doi: 10.1038/s41598-021-87088-z
pii: 10.1038/s41598-021-87088-z
pmc: PMC8050264
doi:

Substances chimiques

Botulinum Toxins, Type A EC 3.4.24.69

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8322

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Auteurs

Pavel Hok (P)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Lenka Hvizdošová (L)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Pavel Otruba (P)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Michaela Kaiserová (M)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.

Markéta Trnečková (M)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Computer Science, Faculty of Science of Palacký University Olomouc, Olomouc, Czech Republic.

Zbyněk Tüdös (Z)

Department of Radiology, University Hospital Olomouc, Olomouc, Czech Republic.
Department of Radiology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Petr Hluštík (P)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Petr Kaňovský (P)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic.

Martin Nevrlý (M)

Department of Neurology, University Hospital Olomouc, I. P. Pavlova 6, 77900, Olomouc, Czech Republic. martin.nevrly@fnol.cz.
Department of Neurology, Faculty of Medicine and Dentistry of Palacký University Olomouc, Olomouc, Czech Republic. martin.nevrly@fnol.cz.

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Classifications MeSH