Classification of types of stuttering symptoms based on brain activity.

Among the non-fluencies seen in speech, some are more typical (MT) of stuttering speakers, whereas others are less typical (LT) and are common to both stuttering and fluent speakers. No neuroimaging work has evaluated the neural basis for grouping these symptom types. Another long-debated issue is w...

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Autores principales:	Jing Jiang, Chunming Lu, Danling Peng, Chaozhe Zhu, Peter Howell
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1d7fc459014549eca0bac5d180f1b528
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spelling	oai:doaj.org-article:1d7fc459014549eca0bac5d180f1b5282021-11-18T07:14:25ZClassification of types of stuttering symptoms based on brain activity.1932-620310.1371/journal.pone.0039747https://doaj.org/article/1d7fc459014549eca0bac5d180f1b5282012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22761887/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Among the non-fluencies seen in speech, some are more typical (MT) of stuttering speakers, whereas others are less typical (LT) and are common to both stuttering and fluent speakers. No neuroimaging work has evaluated the neural basis for grouping these symptom types. Another long-debated issue is which type (LT, MT) whole-word repetitions (WWR) should be placed in. In this study, a sentence completion task was performed by twenty stuttering patients who were scanned using an event-related design. This task elicited stuttering in these patients. Each stuttered trial from each patient was sorted into the MT or LT types with WWR put aside. Pattern classification was employed to train a patient-specific single trial model to automatically classify each trial as MT or LT using the corresponding fMRI data. This model was then validated by using test data that were independent of the training data. In a subsequent analysis, the classification model, just established, was used to determine which type the WWR should be placed in. The results showed that the LT and the MT could be separated with high accuracy based on their brain activity. The brain regions that made most contribution to the separation of the types were: the left inferior frontal cortex and bilateral precuneus, both of which showed higher activity in the MT than in the LT; and the left putamen and right cerebellum which showed the opposite activity pattern. The results also showed that the brain activity for WWR was more similar to that of the LT and fluent speech than to that of the MT. These findings provide a neurological basis for separating the MT and the LT types, and support the widely-used MT/LT symptom grouping scheme. In addition, WWR play a similar role as the LT, and thus should be placed in the LT type.Jing JiangChunming LuDanling PengChaozhe ZhuPeter HowellPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e39747 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jing Jiang Chunming Lu Danling Peng Chaozhe Zhu Peter Howell Classification of types of stuttering symptoms based on brain activity.
description	Among the non-fluencies seen in speech, some are more typical (MT) of stuttering speakers, whereas others are less typical (LT) and are common to both stuttering and fluent speakers. No neuroimaging work has evaluated the neural basis for grouping these symptom types. Another long-debated issue is which type (LT, MT) whole-word repetitions (WWR) should be placed in. In this study, a sentence completion task was performed by twenty stuttering patients who were scanned using an event-related design. This task elicited stuttering in these patients. Each stuttered trial from each patient was sorted into the MT or LT types with WWR put aside. Pattern classification was employed to train a patient-specific single trial model to automatically classify each trial as MT or LT using the corresponding fMRI data. This model was then validated by using test data that were independent of the training data. In a subsequent analysis, the classification model, just established, was used to determine which type the WWR should be placed in. The results showed that the LT and the MT could be separated with high accuracy based on their brain activity. The brain regions that made most contribution to the separation of the types were: the left inferior frontal cortex and bilateral precuneus, both of which showed higher activity in the MT than in the LT; and the left putamen and right cerebellum which showed the opposite activity pattern. The results also showed that the brain activity for WWR was more similar to that of the LT and fluent speech than to that of the MT. These findings provide a neurological basis for separating the MT and the LT types, and support the widely-used MT/LT symptom grouping scheme. In addition, WWR play a similar role as the LT, and thus should be placed in the LT type.
format	article
author	Jing Jiang Chunming Lu Danling Peng Chaozhe Zhu Peter Howell
author_facet	Jing Jiang Chunming Lu Danling Peng Chaozhe Zhu Peter Howell
author_sort	Jing Jiang
title	Classification of types of stuttering symptoms based on brain activity.
title_short	Classification of types of stuttering symptoms based on brain activity.
title_full	Classification of types of stuttering symptoms based on brain activity.
title_fullStr	Classification of types of stuttering symptoms based on brain activity.
title_full_unstemmed	Classification of types of stuttering symptoms based on brain activity.
title_sort	classification of types of stuttering symptoms based on brain activity.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/1d7fc459014549eca0bac5d180f1b528
work_keys_str_mv	AT jingjiang classificationoftypesofstutteringsymptomsbasedonbrainactivity AT chunminglu classificationoftypesofstutteringsymptomsbasedonbrainactivity AT danlingpeng classificationoftypesofstutteringsymptomsbasedonbrainactivity AT chaozhezhu classificationoftypesofstutteringsymptomsbasedonbrainactivity AT peterhowell classificationoftypesofstutteringsymptomsbasedonbrainactivity
_version_	1718423712416399360

Classification of types of stuttering symptoms based on brain activity.

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