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Structural brain network topological alterations in stuttering adults
Persistent developmental stuttering is a speech disorder that primarily affects normal speech fluency but encompasses a complex set of symptoms ranging from reduced sensorimotor integration to socioemotional challenges. Here, we investigated the whole-brain structural connectome and its topological...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971894/ https://www.ncbi.nlm.nih.gov/pubmed/35368614 http://dx.doi.org/10.1093/braincomms/fcac058 |
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author | Gracco, Vincent L. Sares, Anastasia G. Koirala, Nabin |
author_facet | Gracco, Vincent L. Sares, Anastasia G. Koirala, Nabin |
author_sort | Gracco, Vincent L. |
collection | PubMed |
description | Persistent developmental stuttering is a speech disorder that primarily affects normal speech fluency but encompasses a complex set of symptoms ranging from reduced sensorimotor integration to socioemotional challenges. Here, we investigated the whole-brain structural connectome and its topological alterations in adults who stutter. Diffusion-weighted imaging data of 33 subjects (13 adults who stutter and 20 fluent speakers) were obtained along with a stuttering severity evaluation. The structural brain network properties were analysed using network-based statistics and graph theoretical measures particularly focussing on community structure, network hubs and controllability. Bayesian power estimation was used to assess the reliability of the structural connectivity differences by examining the effect size. The analysis revealed reliable and wide-spread decreases in connectivity for adults who stutter in regions associated with sensorimotor, cognitive, emotional and memory-related functions. The community detection algorithms revealed different subnetworks for fluent speakers and adults who stutter, indicating considerable network adaptation in adults who stutter. Average and modal controllability differed between groups in a subnetwork encompassing frontal brain regions and parts of the basal ganglia. The results revealed extensive structural network alterations and substantial adaptation in neural architecture in adults who stutter well beyond the sensorimotor network. These findings highlight the impact of the neurodevelopmental effects of persistent stuttering on neural organization and the importance of examining the full structural connectome and the network alterations that underscore the behavioural phenotype. |
format | Online Article Text |
id | pubmed-8971894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89718942022-04-01 Structural brain network topological alterations in stuttering adults Gracco, Vincent L. Sares, Anastasia G. Koirala, Nabin Brain Commun Original Article Persistent developmental stuttering is a speech disorder that primarily affects normal speech fluency but encompasses a complex set of symptoms ranging from reduced sensorimotor integration to socioemotional challenges. Here, we investigated the whole-brain structural connectome and its topological alterations in adults who stutter. Diffusion-weighted imaging data of 33 subjects (13 adults who stutter and 20 fluent speakers) were obtained along with a stuttering severity evaluation. The structural brain network properties were analysed using network-based statistics and graph theoretical measures particularly focussing on community structure, network hubs and controllability. Bayesian power estimation was used to assess the reliability of the structural connectivity differences by examining the effect size. The analysis revealed reliable and wide-spread decreases in connectivity for adults who stutter in regions associated with sensorimotor, cognitive, emotional and memory-related functions. The community detection algorithms revealed different subnetworks for fluent speakers and adults who stutter, indicating considerable network adaptation in adults who stutter. Average and modal controllability differed between groups in a subnetwork encompassing frontal brain regions and parts of the basal ganglia. The results revealed extensive structural network alterations and substantial adaptation in neural architecture in adults who stutter well beyond the sensorimotor network. These findings highlight the impact of the neurodevelopmental effects of persistent stuttering on neural organization and the importance of examining the full structural connectome and the network alterations that underscore the behavioural phenotype. Oxford University Press 2022-03-10 /pmc/articles/PMC8971894/ /pubmed/35368614 http://dx.doi.org/10.1093/braincomms/fcac058 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Gracco, Vincent L. Sares, Anastasia G. Koirala, Nabin Structural brain network topological alterations in stuttering adults |
title | Structural brain network topological alterations in stuttering adults |
title_full | Structural brain network topological alterations in stuttering adults |
title_fullStr | Structural brain network topological alterations in stuttering adults |
title_full_unstemmed | Structural brain network topological alterations in stuttering adults |
title_short | Structural brain network topological alterations in stuttering adults |
title_sort | structural brain network topological alterations in stuttering adults |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971894/ https://www.ncbi.nlm.nih.gov/pubmed/35368614 http://dx.doi.org/10.1093/braincomms/fcac058 |
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