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Structural brain network fingerprints of focal dystonia
BACKGROUND: Focal dystonias are severe and disabling movement disorders of a still unclear origin. The structural brain networks associated with focal dystonia have not been well characterized. Here, we investigated structural brain network fingerprints in patients with blepharospasm (BSP) compared...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859688/ https://www.ncbi.nlm.nih.gov/pubmed/31798688 http://dx.doi.org/10.1177/1756286419880664 |
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author | Chirumamilla, Venkata C. Dresel, Christian Koirala, Nabin Gonzalez-Escamilla, Gabriel Deuschl, Günther Zeuner, Kirsten E. Muthuraman, Muthuraman Groppa, Sergiu |
author_facet | Chirumamilla, Venkata C. Dresel, Christian Koirala, Nabin Gonzalez-Escamilla, Gabriel Deuschl, Günther Zeuner, Kirsten E. Muthuraman, Muthuraman Groppa, Sergiu |
author_sort | Chirumamilla, Venkata C. |
collection | PubMed |
description | BACKGROUND: Focal dystonias are severe and disabling movement disorders of a still unclear origin. The structural brain networks associated with focal dystonia have not been well characterized. Here, we investigated structural brain network fingerprints in patients with blepharospasm (BSP) compared with those with hemifacial spasm (HFS), and healthy controls (HC). The patients were also examined following treatment with botulinum neurotoxin (BoNT). METHODS: This study included matched groups of 13 BSP patients, 13 HFS patients, and 13 HC. We measured patients using structural-magnetic resonance imaging (MRI) at baseline and after one month BoNT treatment, at time points of maximal and minimal clinical symptom representation, and HC at baseline. Group regional cross-correlation matrices calculated based on grey matter volume were included in graph-based network analysis. We used these to quantify global network measures of segregation and integration, and also looked at local connectivity properties of different brain regions. RESULTS: The networks in patients with BSP were more segregated than in patients with HFS and HC (p < 0.001). BSP patients had increased connectivity in frontal and temporal cortices, including sensorimotor cortex, and reduced connectivity in the cerebellum, relative to both HFS patients and HC (p < 0.05). Compared with HC, HFS patients showed increased connectivity in temporal and parietal cortices and a decreased connectivity in the frontal cortex (p < 0.05). In BSP patients, the connectivity of the frontal cortex diminished after BoNT treatment (p < 0.05). In contrast, HFS patients showed increased connectivity in the temporal cortex and reduced connectivity in cerebellum after BoNT treatment (p < 0.05). CONCLUSIONS: Our results show that BSP patients display alterations in both segregation and integration in the brain at the network level. The regional differences identified in the sensorimotor cortex and cerebellum of these patients may play a role in the pathophysiology of focal dystonia. Moreover, symptomatic reduction of hyperkinesia by BoNT treatment was associated with different brain network fingerprints in both BSP and HFS patients. |
format | Online Article Text |
id | pubmed-6859688 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-68596882019-12-03 Structural brain network fingerprints of focal dystonia Chirumamilla, Venkata C. Dresel, Christian Koirala, Nabin Gonzalez-Escamilla, Gabriel Deuschl, Günther Zeuner, Kirsten E. Muthuraman, Muthuraman Groppa, Sergiu Ther Adv Neurol Disord Original Research BACKGROUND: Focal dystonias are severe and disabling movement disorders of a still unclear origin. The structural brain networks associated with focal dystonia have not been well characterized. Here, we investigated structural brain network fingerprints in patients with blepharospasm (BSP) compared with those with hemifacial spasm (HFS), and healthy controls (HC). The patients were also examined following treatment with botulinum neurotoxin (BoNT). METHODS: This study included matched groups of 13 BSP patients, 13 HFS patients, and 13 HC. We measured patients using structural-magnetic resonance imaging (MRI) at baseline and after one month BoNT treatment, at time points of maximal and minimal clinical symptom representation, and HC at baseline. Group regional cross-correlation matrices calculated based on grey matter volume were included in graph-based network analysis. We used these to quantify global network measures of segregation and integration, and also looked at local connectivity properties of different brain regions. RESULTS: The networks in patients with BSP were more segregated than in patients with HFS and HC (p < 0.001). BSP patients had increased connectivity in frontal and temporal cortices, including sensorimotor cortex, and reduced connectivity in the cerebellum, relative to both HFS patients and HC (p < 0.05). Compared with HC, HFS patients showed increased connectivity in temporal and parietal cortices and a decreased connectivity in the frontal cortex (p < 0.05). In BSP patients, the connectivity of the frontal cortex diminished after BoNT treatment (p < 0.05). In contrast, HFS patients showed increased connectivity in the temporal cortex and reduced connectivity in cerebellum after BoNT treatment (p < 0.05). CONCLUSIONS: Our results show that BSP patients display alterations in both segregation and integration in the brain at the network level. The regional differences identified in the sensorimotor cortex and cerebellum of these patients may play a role in the pathophysiology of focal dystonia. Moreover, symptomatic reduction of hyperkinesia by BoNT treatment was associated with different brain network fingerprints in both BSP and HFS patients. SAGE Publications 2019-11-16 /pmc/articles/PMC6859688/ /pubmed/31798688 http://dx.doi.org/10.1177/1756286419880664 Text en © The Author(s), 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Chirumamilla, Venkata C. Dresel, Christian Koirala, Nabin Gonzalez-Escamilla, Gabriel Deuschl, Günther Zeuner, Kirsten E. Muthuraman, Muthuraman Groppa, Sergiu Structural brain network fingerprints of focal dystonia |
title | Structural brain network fingerprints of focal dystonia |
title_full | Structural brain network fingerprints of focal dystonia |
title_fullStr | Structural brain network fingerprints of focal dystonia |
title_full_unstemmed | Structural brain network fingerprints of focal dystonia |
title_short | Structural brain network fingerprints of focal dystonia |
title_sort | structural brain network fingerprints of focal dystonia |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859688/ https://www.ncbi.nlm.nih.gov/pubmed/31798688 http://dx.doi.org/10.1177/1756286419880664 |
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