Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals
<i>SYNGAP1</i>-related disorder is a rare neurodevelopmental disorder characterized by intellectual and motor disabilities, including disordered gait control. Currently, there have been few studies that have assessed the gait of individuals with <i>SYNGAP1</i>-related disorde...
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MDPI AG
2025-07-01
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| author | Charles S. Layne Dacia Martinez Diaz Christopher A. Malaya Bernhard Suter Jimmy Lloyd Holder |
| author_facet | Charles S. Layne Dacia Martinez Diaz Christopher A. Malaya Bernhard Suter Jimmy Lloyd Holder |
| author_sort | Charles S. Layne |
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| description | <i>SYNGAP1</i>-related disorder is a rare neurodevelopmental disorder characterized by intellectual and motor disabilities, including disordered gait control. Currently, there have been few studies that have assessed the gait of individuals with <i>SYNGAP1</i>-related disorder using technology-based collection techniques. The purpose of this investigation was to characterize the kinematic gait pattern of these individuals using camera-based motion capture technology during treadmill walking. Both linear and non-linear analysis techniques were used to analyze bilateral lower-limb joint motion and compare the results to age-matched neurotypical individuals. Results indicate that joint range of motion and velocity were decreased in the patient population relative to the neurotypical participants with the non-linear measures of angle–angle and phase portrait areas reflecting similar outcomes. The combination of linear and non-linear measures provide complementary information that, when used in combination, can provide deeper insights into the coordination and control of gait than if either of the measurement techniques are used in isolation. Such information can be useful to clinicians and therapists to develop targeted interventions designed to improve the gait of individuals with <i>SYNGAP1</i>-related disorder. |
| format | Article |
| id | doaj-art-13885da4807d4e5eb608ddf5f3c7bfcb |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-13885da4807d4e5eb608ddf5f3c7bfcb2025-08-20T03:35:57ZengMDPI AGApplied Sciences2076-34172025-07-011515826710.3390/app15158267Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical IndividualsCharles S. Layne0Dacia Martinez Diaz1Christopher A. Malaya2Bernhard Suter3Jimmy Lloyd Holder4Center for Neuromotor and Biomechanics Research, Houston, TX 77204, USACenter for Neuromotor and Biomechanics Research, Houston, TX 77204, USACenter for Neuromotor and Biomechanics Research, Houston, TX 77204, USABlue Bird Circle Rett Center, Texas Children’s Hospital, Houston, TX 77030, USADepartments of Pediatrics and Neurology, Baylor College of Medicine, Houston, TX 77030, USA<i>SYNGAP1</i>-related disorder is a rare neurodevelopmental disorder characterized by intellectual and motor disabilities, including disordered gait control. Currently, there have been few studies that have assessed the gait of individuals with <i>SYNGAP1</i>-related disorder using technology-based collection techniques. The purpose of this investigation was to characterize the kinematic gait pattern of these individuals using camera-based motion capture technology during treadmill walking. Both linear and non-linear analysis techniques were used to analyze bilateral lower-limb joint motion and compare the results to age-matched neurotypical individuals. Results indicate that joint range of motion and velocity were decreased in the patient population relative to the neurotypical participants with the non-linear measures of angle–angle and phase portrait areas reflecting similar outcomes. The combination of linear and non-linear measures provide complementary information that, when used in combination, can provide deeper insights into the coordination and control of gait than if either of the measurement techniques are used in isolation. Such information can be useful to clinicians and therapists to develop targeted interventions designed to improve the gait of individuals with <i>SYNGAP1</i>-related disorder.https://www.mdpi.com/2076-3417/15/15/8267gaittime-seriesnon-linear analysiskinematics<i>SYNGAP1</i> |
| spellingShingle | Charles S. Layne Dacia Martinez Diaz Christopher A. Malaya Bernhard Suter Jimmy Lloyd Holder Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals Applied Sciences gait time-series non-linear analysis kinematics <i>SYNGAP1</i> |
| title | Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals |
| title_full | Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals |
| title_fullStr | Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals |
| title_full_unstemmed | Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals |
| title_short | Gait Kinematics of Individuals with <i>SYNGAP1</i>-Related Disorder Compared with Age-Matched Neurotypical Individuals |
| title_sort | gait kinematics of individuals with i syngap1 i related disorder compared with age matched neurotypical individuals |
| topic | gait time-series non-linear analysis kinematics <i>SYNGAP1</i> |
| url | https://www.mdpi.com/2076-3417/15/15/8267 |
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