Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis

Dystonia, a debilitating neurological movement disorder, is characterized by involuntary muscle contractions and develops from a complex pathophysiology. Graph theoretical analysis approaches have been employed to investigate functional network changes in patients with different forms of dystonia. I...

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Autores principales: Jana Schill, Kirsten E. Zeuner, Arne Knutzen, Inken Tödt, Kristina Simonyan, Karsten Witt
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:09abda7b645141d49cb03f73d1f913312021-11-30T13:44:03ZFunctional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis1664-229510.3389/fneur.2021.744503https://doaj.org/article/09abda7b645141d49cb03f73d1f913312021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fneur.2021.744503/fullhttps://doaj.org/toc/1664-2295Dystonia, a debilitating neurological movement disorder, is characterized by involuntary muscle contractions and develops from a complex pathophysiology. Graph theoretical analysis approaches have been employed to investigate functional network changes in patients with different forms of dystonia. In this study, we aimed to characterize the abnormal brain connectivity underlying writer's cramp, a focal hand dystonia. To this end, we examined functional magnetic resonance scans of 20 writer's cramp patients (11 females/nine males) and 26 healthy controls (10 females/16 males) performing a sequential finger tapping task with their non-dominant (and for patients non-dystonic) hand. Functional connectivity matrices were used to determine group averaged brain networks. Our data suggest that in their neuronal network writer's cramp patients recruited fewer regions that were functionally more segregated. However, this did not impair the network's efficiency for information transfer. A hub analysis revealed alterations in communication patterns of the primary motor cortex, the thalamus and the cerebellum. As we did not observe any differences in motor outcome between groups, we assume that these network changes constitute compensatory rerouting within the patient network. In a secondary analysis, we compared patients with simple writer's cramp (only affecting the hand while writing) and those with complex writer's cramp (affecting the hand also during other fine motor tasks). We found abnormal cerebellar connectivity in the simple writer's cramp group, which was less prominent in complex writer's cramp. Our preliminary findings suggest that longitudinal research concerning cerebellar connectivity during WC progression could provide insight on early compensatory mechanisms in WC.Jana SchillJana SchillJana SchillKirsten E. ZeunerArne KnutzenInken TödtKristina SimonyanKristina SimonyanKarsten WittKarsten WittFrontiers Media S.A.articlewriter's crampfunctional magnetic resonance imaging (fMRI)functional brain connectivitycerebellumnetwork analysisdystoniaNeurology. Diseases of the nervous systemRC346-429ENFrontiers in Neurology, Vol 12 (2021)
institution DOAJ
collection DOAJ
language EN
topic writer's cramp
functional magnetic resonance imaging (fMRI)
functional brain connectivity
cerebellum
network analysis
dystonia
Neurology. Diseases of the nervous system
RC346-429
spellingShingle writer's cramp
functional magnetic resonance imaging (fMRI)
functional brain connectivity
cerebellum
network analysis
dystonia
Neurology. Diseases of the nervous system
RC346-429
Jana Schill
Jana Schill
Jana Schill
Kirsten E. Zeuner
Arne Knutzen
Inken Tödt
Kristina Simonyan
Kristina Simonyan
Karsten Witt
Karsten Witt
Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
description Dystonia, a debilitating neurological movement disorder, is characterized by involuntary muscle contractions and develops from a complex pathophysiology. Graph theoretical analysis approaches have been employed to investigate functional network changes in patients with different forms of dystonia. In this study, we aimed to characterize the abnormal brain connectivity underlying writer's cramp, a focal hand dystonia. To this end, we examined functional magnetic resonance scans of 20 writer's cramp patients (11 females/nine males) and 26 healthy controls (10 females/16 males) performing a sequential finger tapping task with their non-dominant (and for patients non-dystonic) hand. Functional connectivity matrices were used to determine group averaged brain networks. Our data suggest that in their neuronal network writer's cramp patients recruited fewer regions that were functionally more segregated. However, this did not impair the network's efficiency for information transfer. A hub analysis revealed alterations in communication patterns of the primary motor cortex, the thalamus and the cerebellum. As we did not observe any differences in motor outcome between groups, we assume that these network changes constitute compensatory rerouting within the patient network. In a secondary analysis, we compared patients with simple writer's cramp (only affecting the hand while writing) and those with complex writer's cramp (affecting the hand also during other fine motor tasks). We found abnormal cerebellar connectivity in the simple writer's cramp group, which was less prominent in complex writer's cramp. Our preliminary findings suggest that longitudinal research concerning cerebellar connectivity during WC progression could provide insight on early compensatory mechanisms in WC.
format article
author Jana Schill
Jana Schill
Jana Schill
Kirsten E. Zeuner
Arne Knutzen
Inken Tödt
Kristina Simonyan
Kristina Simonyan
Karsten Witt
Karsten Witt
author_facet Jana Schill
Jana Schill
Jana Schill
Kirsten E. Zeuner
Arne Knutzen
Inken Tödt
Kristina Simonyan
Kristina Simonyan
Karsten Witt
Karsten Witt
author_sort Jana Schill
title Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
title_short Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
title_full Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
title_fullStr Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
title_full_unstemmed Functional Neural Networks in Writer's Cramp as Determined by Graph-Theoretical Analysis
title_sort functional neural networks in writer's cramp as determined by graph-theoretical analysis
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/09abda7b645141d49cb03f73d1f91331
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