Literature DB >> 34428093

Characterizing Swallows From People With Neurodegenerative Diseases Using High-Resolution Cervical Auscultation Signals and Temporal and Spatial Swallow Kinematic Measurements.

Cara Donohue1, Yassin Khalifa2, Shitong Mao2, Subashan Perera3, Ervin Sejdić2,4,5,6, James L Coyle1,7.   

Abstract

Purpose The prevalence of dysphagia in patients with neurodegenerative diseases (ND) is alarmingly high and frequently results in morbidity and accelerated mortality due to subsequent adverse events (e.g., aspiration pneumonia). Swallowing in patients with ND should be continuously monitored due to the progressive disease nature. Access to instrumental swallow evaluations can be challenging, and limited studies have quantified changes in temporal/spatial swallow kinematic measures in patients with ND. High-resolution cervical auscultation (HRCA), a dysphagia screening method, has accurately differentiated between safe and unsafe swallows, identified swallow kinematic events (e.g., laryngeal vestibule closure [LVC]), and classified swallows between healthy adults and patients with ND. This study aimed to (a) compare temporal/spatial swallow kinematic measures between patients with ND and healthy adults and (b) investigate HRCA's ability to annotate swallow kinematic events in patients with ND. We hypothesized there would be significant differences in temporal/spatial swallow measurements between groups and that HRCA would accurately annotate swallow kinematic events in patients with ND. Method Participants underwent videofluoroscopic swallowing studies with concurrent HRCA. We used linear mixed models to compare temporal/spatial swallow measurements (n = 170 ND patient swallows, n = 171 healthy adult swallows) and deep learning machine-learning algorithms to annotate specific temporal and spatial kinematic events in swallows from patients with ND. Results Differences (p < .05) were found between groups for several temporal and spatial swallow kinematic measures. HRCA signal features were used as input to machine-learning algorithms and annotated upper esophageal sphincter (UES) opening, UES closure, LVC, laryngeal vestibule reopening, and hyoid bone displacement with 66.25%, 85%, 68.18%, 70.45%, and 44.6% accuracy, respectively, compared to human judges' measurements. Conclusion This study demonstrates HRCA's potential in characterizing swallow function in patients with ND and other patient populations.

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Year:  2021        PMID: 34428093      PMCID: PMC8642099          DOI: 10.1044/2021_JSLHR-21-00134

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  44 in total

Review 1.  Evaluation and management of oropharyngeal dysphagia in different types of dementia: a systematic review.

Authors:  Kannayiram Alagiakrishnan; Rahima A Bhanji; Mini Kurian
Journal:  Arch Gerontol Geriatr       Date:  2012-05-19       Impact factor: 3.250

Review 2.  Enteral Nutrition and Dementia Integrating Ethics.

Authors:  Denise Baird Schwartz
Journal:  Nutr Clin Pract       Date:  2018-04-17       Impact factor: 3.080

3.  A comparative analysis of DBSCAN, K-means, and quadratic variation algorithms for automatic identification of swallows from swallowing accelerometry signals.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2015-01-17       Impact factor: 4.589

4.  Deep Learning for Classification of Normal Swallows in Adults.

Authors:  Joshua M Dudik; James L Coyle; Amro El-Jaroudi; Zhi-Hong Mao; Mingui Sun; Ervin Sejdić
Journal:  Neurocomputing       Date:  2018-01-31       Impact factor: 5.719

5.  Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.

Authors:  Joshua M Dudik; James L Coyle; Ervin Sejdić
Journal:  IEEE Trans Hum Mach Syst       Date:  2015-08       Impact factor: 2.968

Review 6.  Prevalence of dysphagia in multiple sclerosis and its related factors: Systematic review and meta-analysis.

Authors:  Alireza Aghaz; Alireza Alidad; Ehsan Hemmati; Hussein Jadidi; Leila Ghelichi
Journal:  Iran J Neurol       Date:  2018-10-07

7.  High-Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacements of the Hyoid Bone During Swallowing.

Authors:  Cedrine Rebrion; Zhenwei Zhang; Yassin Khalifa; Mona Ramadan; Atsuko Kurosu; James L Coyle; Subashan Perera; Ervin Sejdic
Journal:  IEEE J Transl Eng Health Med       Date:  2018-12-24

8.  How Closely do Machine Ratings of Duration of UES Opening During Videofluoroscopy Approximate Clinician Ratings Using Temporal Kinematic Analyses and the MBSImP?

Authors:  Cara Donohue; Yassin Khalifa; Subashan Perera; Ervin Sejdić; James L Coyle
Journal:  Dysphagia       Date:  2020-09-21       Impact factor: 2.733

9.  Respiratory training in an individual with amyotrophic lateral sclerosis.

Authors:  Lauren C Tabor; Karen M Rosado; Raele Robison; Karen Hegland; Ianessa A Humbert; Emily K Plowman
Journal:  Ann Clin Transl Neurol       Date:  2016-09-01       Impact factor: 4.511

10.  Combined respiratory training in an individual with C9orf72 amyotrophic lateral sclerosis.

Authors:  Raele Robison; Lauren C Tabor-Gray; James P Wymer; Emily K Plowman
Journal:  Ann Clin Transl Neurol       Date:  2018-08-21       Impact factor: 4.511

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  1 in total

1.  A Preliminary Investigation of Similarities of High Resolution Cervical Auscultation Signals Between Thin Liquid Barium and Water Swallows.

Authors:  Ryan Schwartz; Yassin Khalifa; Erin Lucatorto; Subashan Perera; James Coyle; Ervin Sejdic
Journal:  IEEE J Transl Eng Health Med       Date:  2021-12-10       Impact factor: 3.316

  1 in total

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