Ryoichiro Iwanaga
Biographic Data
| ID | 5678497 |
|---|---|
| NAME | Ryoichiro Iwanaga |
| GIVEN NAMES | Ryoichiro |
| FAMILY NAME | Iwanaga |
| SIGNATURE | IWANAGA R |
| AFFILIATIONS | Nagasaki University |
| ORCID | 0000-0001-6151-8768 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Acoustic features of emotional expression in 5-year-old children with autism spectrum disorder
By focusing on the relationship between acoustic features and emotional expression setting and by restricting the age of participants, our results demonstrate the trend of acoustic features in children with ASD. To deepen the understanding of the relationship between f0 and emotion, future studies investigating prosody in a range of emotional expression settings are needed
Physiological mechanisms of social odor perception and their implications for Autism Spectrum Disorders
Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm
Participation is important for children's quality of life (QOL). This study aimed to identify participation factors that influence QOL among Japanese children with neurodevelopmental disorders. Ninety-two Japanese parents of children with neurodevelopmental disorders participated in this study. The parents completed the parent version of the Kid- and Kiddo-KINDL health-related QOL questionnaire and the Participation and Environment Measure for Ch…
Participation Strategies of Parents of Children with Neurodevelopmental Disorders
Strategies are critical to promote child participation in important life activities. This study analyzed the participation strategies of the parents of children with neurodevelopmental disorders. Ninety-two Japanese elementary children with neurodevelopmental disorders and their parents were recruited. The parents completed the Participation and Environment Measure for Children and Youth (PEM-CY) questionnaire. Strategy text data obtained from th…
Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait
Results indicate the effectiveness of evaluating movement in OLST by using movies and machine learning for predicting high autistic trait. In addition, they emphasize the significance of specifically focusing on shoulder and waist movements, which facilitate the efficient predicting high autistic trait. Finally, studies incorporating a broader range of balance cues are necessary to comprehensively determine the effectiveness of utilizing balance …
Association of Aryl Hydrocarbon Receptor-Related Gene Variants with the Severity of Autism Spectrum Disorders
Exposure to environmental chemicals, such as dioxin, is known to have adverse effects on the homeostasis of gonadal steroids, thereby potentially altering the sexual differentiation of the brain to express autistic traits. Dioxin-like chemicals act on the aryl hydrocarbon receptor (AhR), polymorphisms, and mutations of AhR -related gene may exert pathological influences on sexual differentiation of the brain, causing autistic traits. To ascertain…
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Association of Aryl Hydrocarbon Receptor-Related Gene Variants with the Severity of Autism Spectrum Disorders
Exposure to environmental chemicals, such as dioxin, is known to have adverse effects on the homeostasis of gonadal steroids, thereby potentially altering the sexual differentiation of the brain to express autistic traits. Dioxin-like chemicals act on the aryl hydrocarbon receptor (AhR), polymorphisms, and mutations of AhR -related gene may exert pathological influences on sexual differentiation of the brain, causing autistic traits. To ascertain…
Participation as a Predictor of Quality of Life among Japanese Children with Neurodevelopmental Disorders Analyzed Using a Machine Learning Algorithm
Participation is important for children's quality of life (QOL). This study aimed to identify participation factors that influence QOL among Japanese children with neurodevelopmental disorders. Ninety-two Japanese parents of children with neurodevelopmental disorders participated in this study. The parents completed the parent version of the Kid- and Kiddo-KINDL health-related QOL questionnaire and the Participation and Environment Measure for Ch…
Participation Strategies of Parents of Children with Neurodevelopmental Disorders
Strategies are critical to promote child participation in important life activities. This study analyzed the participation strategies of the parents of children with neurodevelopmental disorders. Ninety-two Japanese elementary children with neurodevelopmental disorders and their parents were recruited. The parents completed the Participation and Environment Measure for Children and Youth (PEM-CY) questionnaire. Strategy text data obtained from th…
Machine learning’s effectiveness in evaluating movement in one-legged standing test for predicting high autistic trait
Results indicate the effectiveness of evaluating movement in OLST by using movies and machine learning for predicting high autistic trait. In addition, they emphasize the significance of specifically focusing on shoulder and waist movements, which facilitate the efficient predicting high autistic trait. Finally, studies incorporating a broader range of balance cues are necessary to comprehensively determine the effectiveness of utilizing balance …
Acoustic features of emotional expression in 5-year-old children with autism spectrum disorder
By focusing on the relationship between acoustic features and emotional expression setting and by restricting the age of participants, our results demonstrate the trend of acoustic features in children with ASD. To deepen the understanding of the relationship between f0 and emotion, future studies investigating prosody in a range of emotional expression settings are needed
Physiological mechanisms of social odor perception and their implications for Autism Spectrum Disorders
Psychology (4 works) · Autism (3 works) · Autism spectrum disorder (3 works) · Autism Spectrum Disorder Research (3 works) · Cerebral Palsy and Movement Disorders (3 works) · Computer Science (3 works) · Developmental psychology (3 works) · Artificial Intelligence (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works)