Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach
Purpose. To develop a predictive model of speech loss in persons with amyotrophic lateral sclerosis (ALS) based on measures of respiratory, phonatory, articulatory, and resonatory functions that were selected using a data-mining approach. Method. Physiologic speech subsystem (respiratory, phonatory,...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Behavioural Neurology |
| Online Access: | http://dx.doi.org/10.1155/2015/183027 |
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| author | Panying Rong Yana Yunusova Jun Wang Jordan R. Green |
| author_facet | Panying Rong Yana Yunusova Jun Wang Jordan R. Green |
| author_sort | Panying Rong |
| collection | DOAJ |
| description | Purpose. To develop a predictive model of speech loss in persons with amyotrophic lateral sclerosis (ALS) based on measures of respiratory, phonatory, articulatory, and resonatory functions that were selected using a data-mining approach. Method. Physiologic speech subsystem (respiratory, phonatory, articulatory, and resonatory) functions were evaluated longitudinally in 66 individuals with ALS using multiple instrumentation approaches including acoustic, aerodynamic, nasometeric, and kinematic. The instrumental measures of the subsystem functions were subjected to a principal component analysis and linear mixed effects models to derive a set of comprehensive predictors of bulbar dysfunction. These subsystem predictors were subjected to a Kaplan-Meier analysis to estimate the time until speech loss. Results. For a majority of participants, speech subsystem decline was detectible prior to declines in speech intelligibility and speaking rate. Among all subsystems, the articulatory and phonatory predictors were most responsive to early bulbar deterioration; and the resonatory and respiratory predictors were as responsive to bulbar decline as was speaking rate. Conclusions. The articulatory and phonatory predictors are sensitive indicators of early bulbar decline due to ALS, which has implications for predicting disease onset and progression and clinical management of ALS. |
| format | Article |
| id | doaj-art-d927a95c7e8d4adaadc551b9537e6914 |
| institution | Kabale University |
| issn | 0953-4180 1875-8584 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Behavioural Neurology |
| spelling | doaj-art-d927a95c7e8d4adaadc551b9537e69142025-02-03T05:52:49ZengWileyBehavioural Neurology0953-41801875-85842015-01-01201510.1155/2015/183027183027Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem ApproachPanying Rong0Yana Yunusova1Jun Wang2Jordan R. Green3Department of Communication Sciences and Disorders, MGH Institute of Health Professions, 36 First Avenue, Boston, MA 02129, USADepartment of Speech-Language Pathology, University of Toronto, 160-500 University Avenue, Toronto, ON, M5G 1V7, CanadaDepartment of Bioengineering, University of Texas at Dallas, 800 W. Campbell Road, Richardson, TX 75080, USADepartment of Communication Sciences and Disorders, MGH Institute of Health Professions, 36 First Avenue, Boston, MA 02129, USAPurpose. To develop a predictive model of speech loss in persons with amyotrophic lateral sclerosis (ALS) based on measures of respiratory, phonatory, articulatory, and resonatory functions that were selected using a data-mining approach. Method. Physiologic speech subsystem (respiratory, phonatory, articulatory, and resonatory) functions were evaluated longitudinally in 66 individuals with ALS using multiple instrumentation approaches including acoustic, aerodynamic, nasometeric, and kinematic. The instrumental measures of the subsystem functions were subjected to a principal component analysis and linear mixed effects models to derive a set of comprehensive predictors of bulbar dysfunction. These subsystem predictors were subjected to a Kaplan-Meier analysis to estimate the time until speech loss. Results. For a majority of participants, speech subsystem decline was detectible prior to declines in speech intelligibility and speaking rate. Among all subsystems, the articulatory and phonatory predictors were most responsive to early bulbar deterioration; and the resonatory and respiratory predictors were as responsive to bulbar decline as was speaking rate. Conclusions. The articulatory and phonatory predictors are sensitive indicators of early bulbar decline due to ALS, which has implications for predicting disease onset and progression and clinical management of ALS.http://dx.doi.org/10.1155/2015/183027 |
| spellingShingle | Panying Rong Yana Yunusova Jun Wang Jordan R. Green Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach Behavioural Neurology |
| title | Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach |
| title_full | Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach |
| title_fullStr | Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach |
| title_full_unstemmed | Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach |
| title_short | Predicting Early Bulbar Decline in Amyotrophic Lateral Sclerosis: A Speech Subsystem Approach |
| title_sort | predicting early bulbar decline in amyotrophic lateral sclerosis a speech subsystem approach |
| url | http://dx.doi.org/10.1155/2015/183027 |
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