Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder
Abstract Aim Autism spectrum disorder (ASD) is difficult to diagnose objectively due to its heterogeneous and complex manifestations. This study aimed to objectively characterize the behavioral phenotypes of ASD children by exploring the multiscale behavioral dynamics. Methods We applied behavioral...
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| Format: | Article |
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Wiley
2024-12-01
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| Series: | PCN Reports |
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| Online Access: | https://doi.org/10.1002/pcn5.70016 |
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| author | Toru Nakamura Tomiki Sumiyoshi Yoko Kamio Hidetoshi Takahashi |
| author_facet | Toru Nakamura Tomiki Sumiyoshi Yoko Kamio Hidetoshi Takahashi |
| author_sort | Toru Nakamura |
| collection | DOAJ |
| description | Abstract Aim Autism spectrum disorder (ASD) is difficult to diagnose objectively due to its heterogeneous and complex manifestations. This study aimed to objectively characterize the behavioral phenotypes of ASD children by exploring the multiscale behavioral dynamics. Methods We applied behavioral organization (BO) and multiscale sample entropy (MSE) analyses to physical activity data collected from ASD and typically developing children, using wearable monitors in their daily life. We also examined their correlation with auditory startle response measures and clinical questionnaires, including the Social Responsiveness Scale (SRS) and the Strengths and Difficulties Questionnaire (SDQ). Results A significant decrease in MSE at timescales longer than 6 min was observed in ASD children, suggesting decreased irregularity or unpredictability, potentially linked to repetitive behaviors or stereotyped patterns commonly observed in ASD. Additionally, an increase in MSE positively correlated with prepulse inhibition levels, indicating its relationship with sensorimotor gating. Moreover, the observed significant negative correlation with the total difficulty score of SDQ substantiates MSE's potential as an objective metric for assessing general mental health problems associated with ASD. Conclusion Multiscale analysis enhances the understanding of ASD's behavioral dynamics, providing valuable metrics for real‐world assessments. |
| format | Article |
| id | doaj-art-0a07e99eb9d247c9817437cded7d65e4 |
| institution | Kabale University |
| issn | 2769-2558 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | PCN Reports |
| spelling | doaj-art-0a07e99eb9d247c9817437cded7d65e42025-01-03T11:15:26ZengWileyPCN Reports2769-25582024-12-0134n/an/a10.1002/pcn5.70016Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorderToru Nakamura0Tomiki Sumiyoshi1Yoko Kamio2Hidetoshi Takahashi3Institute for Datability Science Osaka University Osaka JapanDepartment of Preventive Intervention for Psychiatric Disorders National Center of Neurology and Psychiatry Tokyo JapanDepartment of Preventive Intervention for Psychiatric Disorders National Center of Neurology and Psychiatry Tokyo JapanDepartment of Preventive Intervention for Psychiatric Disorders National Center of Neurology and Psychiatry Tokyo JapanAbstract Aim Autism spectrum disorder (ASD) is difficult to diagnose objectively due to its heterogeneous and complex manifestations. This study aimed to objectively characterize the behavioral phenotypes of ASD children by exploring the multiscale behavioral dynamics. Methods We applied behavioral organization (BO) and multiscale sample entropy (MSE) analyses to physical activity data collected from ASD and typically developing children, using wearable monitors in their daily life. We also examined their correlation with auditory startle response measures and clinical questionnaires, including the Social Responsiveness Scale (SRS) and the Strengths and Difficulties Questionnaire (SDQ). Results A significant decrease in MSE at timescales longer than 6 min was observed in ASD children, suggesting decreased irregularity or unpredictability, potentially linked to repetitive behaviors or stereotyped patterns commonly observed in ASD. Additionally, an increase in MSE positively correlated with prepulse inhibition levels, indicating its relationship with sensorimotor gating. Moreover, the observed significant negative correlation with the total difficulty score of SDQ substantiates MSE's potential as an objective metric for assessing general mental health problems associated with ASD. Conclusion Multiscale analysis enhances the understanding of ASD's behavioral dynamics, providing valuable metrics for real‐world assessments.https://doi.org/10.1002/pcn5.70016autism spectrum disordercomplexitymultiscale dynamicsphysical activity |
| spellingShingle | Toru Nakamura Tomiki Sumiyoshi Yoko Kamio Hidetoshi Takahashi Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder PCN Reports autism spectrum disorder complexity multiscale dynamics physical activity |
| title | Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| title_full | Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| title_fullStr | Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| title_full_unstemmed | Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| title_short | Reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| title_sort | reduced multiscale complexity of daily behavioral dynamics in autism spectrum disorder |
| topic | autism spectrum disorder complexity multiscale dynamics physical activity |
| url | https://doi.org/10.1002/pcn5.70016 |
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