Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research
IntroductionThis pilot research was designed to investigate if prosodic features from running spontaneous speech could differentiate dementia of the Alzheimer’s type (DAT), vascular dementia (VaD), mild cognitive impairment (MCI), and healthy cognition. The study included acoustic measurements of pr...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-06-01
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| Series: | Frontiers in Psychology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1129406/full |
| _version_ | 1797797718597304320 |
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| author | Chorong Oh Richard Morris Xianhui Wang Morgan S. Raskin |
| author_facet | Chorong Oh Richard Morris Xianhui Wang Morgan S. Raskin |
| author_sort | Chorong Oh |
| collection | DOAJ |
| description | IntroductionThis pilot research was designed to investigate if prosodic features from running spontaneous speech could differentiate dementia of the Alzheimer’s type (DAT), vascular dementia (VaD), mild cognitive impairment (MCI), and healthy cognition. The study included acoustic measurements of prosodic features (Study 1) and listeners’ perception of emotional prosody differences (Study 2).MethodsFor Study 1, prerecorded speech samples describing the Cookie Theft picture from 10 individuals with DAT, 5 with VaD, 9 with MCI, and 10 neurologically healthy controls (NHC) were obtained from the DementiaBank. The descriptive narratives by each participant were separated into utterances. These utterances were measured on 22 acoustic features via the Praat software and analyzed statistically using the principal component analysis (PCA), regression, and Mahalanobis distance measures.ResultsThe analyses on acoustic data revealed a set of five factors and four salient features (i.e., pitch, amplitude, rate, and syllable) that discriminate the four groups. For Study 2, a group of 28 listeners served as judges of emotions expressed by the speakers. After a set of training and practice sessions, they were instructed to indicate the emotions they heard. Regression measures were used to analyze the perceptual data. The perceptual data indicated that the factor underlying pitch measures had the greatest strength for the listeners to separate the groups.DiscussionThe present pilot work showed that using acoustic measures of prosodic features may be a functional method for differentiating among DAT, VaD, MCI, and NHC. Future studies with data collected under a controlled environment using better stimuli are warranted. |
| first_indexed | 2024-03-13T03:52:36Z |
| format | Article |
| id | doaj.art-2fddbcb6766541028a8304b6c572e789 |
| institution | Directory Open Access Journal |
| issn | 1664-1078 |
| language | English |
| last_indexed | 2024-03-13T03:52:36Z |
| publishDate | 2023-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychology |
| spelling | doaj.art-2fddbcb6766541028a8304b6c572e7892023-06-22T09:28:11ZengFrontiers Media S.A.Frontiers in Psychology1664-10782023-06-011410.3389/fpsyg.2023.11294061129406Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot researchChorong Oh0Richard Morris1Xianhui Wang2Morgan S. Raskin3School of Rehabilitation and Communication Sciences, Ohio University, Athens, OH, United StatesSchool of Communication Science and Disorders, Florida State University, Tallahassee, FL, United StatesSchool of Medicine, University of California Irvine, Irvine, CA, United StatesSchool of Communication Science and Disorders, Florida State University, Tallahassee, FL, United StatesIntroductionThis pilot research was designed to investigate if prosodic features from running spontaneous speech could differentiate dementia of the Alzheimer’s type (DAT), vascular dementia (VaD), mild cognitive impairment (MCI), and healthy cognition. The study included acoustic measurements of prosodic features (Study 1) and listeners’ perception of emotional prosody differences (Study 2).MethodsFor Study 1, prerecorded speech samples describing the Cookie Theft picture from 10 individuals with DAT, 5 with VaD, 9 with MCI, and 10 neurologically healthy controls (NHC) were obtained from the DementiaBank. The descriptive narratives by each participant were separated into utterances. These utterances were measured on 22 acoustic features via the Praat software and analyzed statistically using the principal component analysis (PCA), regression, and Mahalanobis distance measures.ResultsThe analyses on acoustic data revealed a set of five factors and four salient features (i.e., pitch, amplitude, rate, and syllable) that discriminate the four groups. For Study 2, a group of 28 listeners served as judges of emotions expressed by the speakers. After a set of training and practice sessions, they were instructed to indicate the emotions they heard. Regression measures were used to analyze the perceptual data. The perceptual data indicated that the factor underlying pitch measures had the greatest strength for the listeners to separate the groups.DiscussionThe present pilot work showed that using acoustic measures of prosodic features may be a functional method for differentiating among DAT, VaD, MCI, and NHC. Future studies with data collected under a controlled environment using better stimuli are warranted.https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1129406/fulldementiamild cognitive impairmentemotionprosodyacoustic analysislistener perception |
| spellingShingle | Chorong Oh Richard Morris Xianhui Wang Morgan S. Raskin Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research Frontiers in Psychology dementia mild cognitive impairment emotion prosody acoustic analysis listener perception |
| title | Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research |
| title_full | Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research |
| title_fullStr | Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research |
| title_full_unstemmed | Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research |
| title_short | Analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments: a pilot research |
| title_sort | analysis of emotional prosody as a tool for differential diagnosis of cognitive impairments a pilot research |
| topic | dementia mild cognitive impairment emotion prosody acoustic analysis listener perception |
| url | https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1129406/full |
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