WEKO3
アイテム
Associations of Vocal Features, Psychiatric Symptoms, and Cognitive Functions in Schizophrenia
http://hdl.handle.net/10228/0002001648
http://hdl.handle.net/10228/0002001648204f4929-19c0-4750-a85a-5e5293021480
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10450942.pdf (2.5 MB)
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| Item type | 共通アイテムタイプ(1) | |||||||||||||||||||||||
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| 公開日 | 2025-04-28 | |||||||||||||||||||||||
| タイトル | ||||||||||||||||||||||||
| タイトル | Associations of Vocal Features, Psychiatric Symptoms, and Cognitive Functions in Schizophrenia | |||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 著者 |
Natsuyama, Tomoya
× Natsuyama, Tomoya
× Chibaatar, Enkhmurun
× Shibata, Yuko
× Okamoto,Naomichi
× Victorino, John Noel Cruz
× Ikenouchi, Atsuko
× 柴田, 智広
WEKO
27592
× Yoshimura, Reiji
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| 著作権関連情報 | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 権利情報Resource | https://creativecommons.org/licenses/by-nc/4.0/ | |||||||||||||||||||||||
| 権利情報 | Copyright (c) 2025 Natsuyama et al. This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v4.0) License (http://creativecommons.org/licenses/by-nc/4.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). | |||||||||||||||||||||||
| 抄録 | ||||||||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||||||||
| 内容記述 | Purpose: This study explored the use of advanced computational techniques in vocal analysis to improve the assessment of psychiatric symptoms and cognitive functions in schizophrenia. We hypothesized that digital signal processing techniques, such as mel spectrogram and mel-frequency cepstral coefficients (MFCC), could be used for objective evaluation of psychiatric symptoms and cognitive functions based on the analysis of alterations in the vocal characteristics. Patients and Methods: Voice samples from 14 participants diagnosed with schizophrenia (92.9% female) were collected using a microphone array, and vocal features were extracted from the samples using mel spectrogram and MFCC techniques. Psychiatric symptoms and cognitive functions were assessed using the Positive and Negative Syndrome Scale (PANSS) and the computer-based tool Cognitrax. Results: We found significant negative correlations between specific vocal features (mel spectrogram and MFCC) and cognitive functions, particularly working memory (β = − 0.645, p = 0.023) and sustained attention (β = − 0.626, p = 0.029). No direct correlations were found between vocal features and psychiatric symptoms, as measured by PANSS scores. However, the correlations between cognitive functions and PANSS total scores were significant (β = − 0.604, p = 0.037), suggesting that cognitive functions may mediate the relationship between psychiatric symptoms and vocal characteristics. Conclusion: This study underscores the potential of vocal analysis as a non-invasive tool for assessing cognitive impairment in schizophrenia. Future research should focus on expanding the sample size and including diverse populations to enhance the generalizability of these findings. Plain Language Summary: Why was the study done? Schizophrenia is a complex mental health disorder that affects how people think, feel, and behave, often leading to challenges in communication and cognitive function. This study aimed to explore how changes in vocal features can relate to the severity of psychiatric symptoms and cognitive abilities in individuals diagnosed with schizophrenia. We wanted to fill a gap in existing research about the connections between vocal patterns and cognitive functions in people with schizophrenia. What did the researchers do and find? We analyzed voice data from 14 participants to see if there were links between their vocal features, psychiatric symptoms, and cognitive functions. Our findings showed that poorer cognitive abilities, like memory and attentional control, negatively correlated with certain vocal characteristics. Additionally, higher psychiatric symptom severity was associated with worse cognitive performance. What do these results mean? This study suggests that analyzing vocal features could help us better understand cognitive impairments in schizophrenia, offering new ways to assess patients. By looking at how vocal features and cognitive functions relate, we can develop improved evaluation methods that may lead to better treatment outcomes. This research adds to our understanding of schizophrenia and highlights the importance of using vocal analysis in future studies to enhance clinical assessments and interventions. |
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| 言語 | en | |||||||||||||||||||||||
| 書誌情報 |
en : Neuropsychiatric Disease and Treatment 巻 21, p. 943-954, 発行日 2025-04-23 |
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| 出版社 | ||||||||||||||||||||||||
| 出版者 | Dove Press | |||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | cognition | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | schizophrenic psychology | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | diagnostic and statistical manual of mental disorders | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | positive and negative syndrome scale | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | acoustics | |||||||||||||||||||||||
| キーワード | ||||||||||||||||||||||||
| 言語 | en | |||||||||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||||||||
| 主題 | computer-assisted signal processing | |||||||||||||||||||||||
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| 言語 | eng | |||||||||||||||||||||||
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| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||||||||
| 出版タイプ | ||||||||||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||||||||||
| DOI | ||||||||||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||||||||||
| 関連識別子 | https://doi.org/10.2147/NDT.S514927 | |||||||||||||||||||||||
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| 収録物識別子タイプ | EISSN | |||||||||||||||||||||||
| 収録物識別子 | 1178-2021 | |||||||||||||||||||||||
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| 値 | yes | |||||||||||||||||||||||
| 研究者情報 | ||||||||||||||||||||||||
| URL | https://hyokadb02.jimu.kyutech.ac.jp/html/100000703_ja.html | |||||||||||||||||||||||
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| 値 | 10450942 | |||||||||||||||||||||||
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| 値 | 14433 | |||||||||||||||||||||||
