8 recherche sur le mot-clé 'Age Factors'

Age-related changes in brain signal variability in autism spectrum disorder / Nicholas KATHREIN ; Elijah GRAGAS ; Lauren KUPIS ; Lucina Q. UDDIN ; Jason S. NOMI in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 8 Titre : Age-related changes in brain signal variability in autism spectrum disorder Type de document : texte imprimé Auteurs : Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur Article en page(s) : 8 Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Age-related changes in brain signal variability in autism spectrum disorder [texte imprimé] / Nicholas KATHREIN, Auteur ; Elijah GRAGAS, Auteur ; Lauren KUPIS, Auteur ; Lucina Q. UDDIN, Auteur ; Jason S. NOMI, Auteur . - 8. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 8 Mots-clés : Humans  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Male  Adult  Female  Adolescent  Child  Magnetic Resonance Imaging  Middle Aged  Young Adult  Child, Preschool  Cross-Sectional Studies  Age Factors  Aging  Brain Mapping  Asd  Age  Brain-behavior relationships  Mean square successive difference  Resting-state fMRI  contributions were based on studies approved by the local Institutional Review  Boards, and all have approved both the initial data collection and the sharing of  fully anonymized data (removing face information from structural images and all  18 Health Insurance Portability and Accountability (HIPAA)-protected health  information identifiers). The written informed consent was obtained from all  subjects. Detailed information on ethical statements for ABIDE can be found at  http://fcon_1000.projects.nitrc.org/indi/abide/. Consent for publication: Not  applicable. Competing interests: The authors declare that they have no competing  interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Brain signal variability (BSV) is an important understudied aspect of brain function linked to cognitive flexibility and adaptive behavior. Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by social communication difficulties and restricted and repetitive behaviors (RRBs). While atypical brain function has been identified in individuals with ASD using fMRI task-activation and functional connectivity approaches, little is known about age-related relationships with resting-state BSV and repetitive behaviors in ASD. METHODS: We conducted a cross-sectional examination of resting-state BSV and its relationship with age and RRBs in a cohort of individuals with Autism Brain Imaging Data Exchange (n = 351) and typically developing (TD) individuals (n = 402) aged 5-50 years obtained from the Autism Brain Imaging Data Exchange. RRBs were assessed using the Autism Diagnostic Interview-Revised (ADI-RRB) scale. BSV was quantified using the root-mean-square successive difference (rMSSD) of the resting-state fMRI time series. We examined categorical group differences in rMSSD between ASD and TD groups, controlling for both linear and quadratic age. To identify dimensional relationships between age, group, and rMSSD, we utilized interaction regressors for group x age and group x quadratic age. Within a subset of individuals with ASD (269 subjects), we explored the relationship between rMSSD and ADI-RRB scores, both with and without age considerations. The relationship between rMSSD and ADI-RRB scores was further analyzed while accounting for linear and quadratic age. Additionally, we investigated the relationship between BSV, age, and ADI-RRB scores using interaction regressors for age x RRB and quadratic age x RRB. RESULTS: When controlling for linear age effects, we observed significant group differences between individuals with ASD and TD individuals in the default-mode network (DMN) and visual network, with decreased BSV in ASD. Similarly, controlling for quadratic age effects revealed significant group differences in the DMN and visual network. In both cases, individuals with ASD showed decreased BSV compared with TD individuals in these brain regions. The group * age interaction demonstrated significant group differences in the DMN, and visual network brain areas, indicating that rMSSD was greater in older individuals compared with younger individuals in the ASD group, while rMSSD was greater in younger individuals compared with older individuals in the TD group. The group * quadratic age interaction showed significant differences in the brain regions included in DMN, with an inverted U-shaped rMSSD-age relationship in ASD (higher rMSSD in younger individuals that slightly increased into middle age before decreasing) and a U-shaped rMSSD-age relationship in TD (higher rMSSD in younger and older individuals compared with middle-aged individuals). When controlling for linear and quadratic age effects, we found a significant positive association between rMSSD and ADI-RRB scores in brain regions within the DMN, salience, and visual network. While no significant results were observed for the linear age * RRB interaction, a significant association between quadratic age and ADI-RRB scores emerged in the DMN, dorsal attention network, and sensorimotor network. Individuals with high ADI-RRB scores exhibited an inverted U-shaped relationship between rMSSD and age, with lower rMSSD levels observed in both younger and older individuals, and higher rMSSD in middle-aged individuals. Those with mid-range ADI-RRB scores displayed a weak inverted U-shaped rMSSD-age association. In contrast, individuals with low ADI-RRB scores showed a U-shaped rMSSD-age association, with higher rMSSD levels in younger and older individuals, but a lower rMSSD in middle-aged individuals. CONCLUSION: These findings highlight age-related atypical BSV patterns in ASD and their association with repetitive behaviors, contributing to the growing literature on understanding alterations in functional brain maturation in ASD. En ligne : https://dx.doi.org/10.1186/s13229-024-00631-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Autism Through the Ages: A Mixed Methods Approach to Understanding How Age and Age of Diagnosis Affect Quality of Life / Gray ATHERTON in Journal of Autism and Developmental Disorders, 52-8 (August 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-8 (August 2022) . - p.3639-3654 Titre : Autism Through the Ages: A Mixed Methods Approach to Understanding How Age and Age of Diagnosis Affect Quality of Life Type de document : texte imprimé Auteurs : Gray ATHERTON, Auteur ; Emma EDISBURY, Auteur ; Andrea PIOVESAN, Auteur ; Liam CROSS, Auteur Article en page(s) : p.3639-3654 Langues : Anglais (eng) Mots-clés : Adult  Age Factors  Autism Spectrum Disorder/diagnosis/psychology  Autistic Disorder/diagnosis/psychology  Humans  Mental Health  Quality of Life/psychology  Adulthood  Autism  Autism quotient  Mixed methods  Quality of life Index. décimale : PER Périodiques Résumé : A significant proportion of autistic adults today were not diagnosed until later in life, a group referred to as the 'lost generation,' which may affect mental health. In Study 1 we explored quality of life and autistic trait levels in 420 autistic and TD adults, and in Study 2 we explored the experiences of 8 autistic adults diagnosed as adults. We found that autistic adults had lower quality of life outcomes and higher autistic trait levels which related to age of diagnosis, and qualitative findings indicated that while adults were empowered by their new diagnosis, they still require specialized supports. Our findings are discussed, emphasizing future directions and implications for the current care system in place for autistic adults. En ligne : http://dx.doi.org/10.1007/s10803-021-05235-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=485 [article] Autism Through the Ages: A Mixed Methods Approach to Understanding How Age and Age of Diagnosis Affect Quality of Life [texte imprimé] / Gray ATHERTON, Auteur ; Emma EDISBURY, Auteur ; Andrea PIOVESAN, Auteur ; Liam CROSS, Auteur . - p.3639-3654. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-8 (August 2022) . - p.3639-3654 Mots-clés : Adult  Age Factors  Autism Spectrum Disorder/diagnosis/psychology  Autistic Disorder/diagnosis/psychology  Humans  Mental Health  Quality of Life/psychology  Adulthood  Autism  Autism quotient  Mixed methods  Quality of life Index. décimale : PER Périodiques Résumé : A significant proportion of autistic adults today were not diagnosed until later in life, a group referred to as the 'lost generation,' which may affect mental health. In Study 1 we explored quality of life and autistic trait levels in 420 autistic and TD adults, and in Study 2 we explored the experiences of 8 autistic adults diagnosed as adults. We found that autistic adults had lower quality of life outcomes and higher autistic trait levels which related to age of diagnosis, and qualitative findings indicated that while adults were empowered by their new diagnosis, they still require specialized supports. Our findings are discussed, emphasizing future directions and implications for the current care system in place for autistic adults. En ligne : http://dx.doi.org/10.1007/s10803-021-05235-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=485

Children's relative age in class and use of medication for ADHD: a Danish Nationwide Study / Anton POTTEGARD in Journal of Child Psychology and Psychiatry, 55-11 (November 2014)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 55-11 (November 2014) . - p.1244-1250 Titre : Children's relative age in class and use of medication for ADHD: a Danish Nationwide Study Type de document : texte imprimé Auteurs : Anton POTTEGARD, Auteur ; Jesper HALLAS, Auteur ; Díaz HERNANDEZ, Auteur ; Helga ZOEGA, Auteur Article en page(s) : p.1244-1250 Langues : Anglais (eng) Mots-clés : Attention-deficit hyperactivity disorder  central stimulants  children  age factors  drug utilization evaluation Index. décimale : PER Périodiques Résumé : Background Previous studies from North America and Iceland have shown that the youngest children within a grade are up to twice as likely to be diagnosed and treated for attention-deficit/hyperactivity disorder (ADHD) compared with their older classmates. We aimed to investigate whether younger age in class is associated with an increased probability of being prescribed medication for ADHD among school-aged children in Denmark. Methods We followed all Danish children between 2000 and 2012 from 1st through 6th grade (7–12 years). Among children who started school on their age-assigned grade level, we estimated the prevalence proportion ratio (PPR) of receiving ADHD medication between the youngest children in class (born in October–December) and the oldest in class (born in January–March), specified by grade level, calendar year and gender. As a sensitivity analysis, we added children not on their age-assigned grade level to the main calculations. Results We identified 932,032 eligible children for the main analysis, of whom 17.3% were among the youngest and 26.5% among the oldest in class. In total, 1.2% eligible children filled at least one prescription for ADHD medication in 2000–2012. The average PPR over the study period was 1.08 (95% CI, 1.04–1.12) and remained stable across subgroups and sensitivity analyses. Overall, 40% of children born October–December had entered school a year after their age-assigned grade level. Conclusions Contrary to previous study results, we observed almost no relative age effect on medication use for ADHD among children in Denmark. We postulate that this may be due to the high proportion of relatively young children held back by 1 year in the Danish school system and/or a generally low prevalence of ADHD medication use in the country. En ligne : http://dx.doi.org/10.1111/jcpp.12243 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241 [article] Children's relative age in class and use of medication for ADHD: a Danish Nationwide Study [texte imprimé] / Anton POTTEGARD, Auteur ; Jesper HALLAS, Auteur ; Díaz HERNANDEZ, Auteur ; Helga ZOEGA, Auteur . - p.1244-1250. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 55-11 (November 2014) . - p.1244-1250 Mots-clés : Attention-deficit hyperactivity disorder  central stimulants  children  age factors  drug utilization evaluation Index. décimale : PER Périodiques Résumé : Background Previous studies from North America and Iceland have shown that the youngest children within a grade are up to twice as likely to be diagnosed and treated for attention-deficit/hyperactivity disorder (ADHD) compared with their older classmates. We aimed to investigate whether younger age in class is associated with an increased probability of being prescribed medication for ADHD among school-aged children in Denmark. Methods We followed all Danish children between 2000 and 2012 from 1st through 6th grade (7–12 years). Among children who started school on their age-assigned grade level, we estimated the prevalence proportion ratio (PPR) of receiving ADHD medication between the youngest children in class (born in October–December) and the oldest in class (born in January–March), specified by grade level, calendar year and gender. As a sensitivity analysis, we added children not on their age-assigned grade level to the main calculations. Results We identified 932,032 eligible children for the main analysis, of whom 17.3% were among the youngest and 26.5% among the oldest in class. In total, 1.2% eligible children filled at least one prescription for ADHD medication in 2000–2012. The average PPR over the study period was 1.08 (95% CI, 1.04–1.12) and remained stable across subgroups and sensitivity analyses. Overall, 40% of children born October–December had entered school a year after their age-assigned grade level. Conclusions Contrary to previous study results, we observed almost no relative age effect on medication use for ADHD among children in Denmark. We postulate that this may be due to the high proportion of relatively young children held back by 1 year in the Danish school system and/or a generally low prevalence of ADHD medication use in the country. En ligne : http://dx.doi.org/10.1111/jcpp.12243 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241

Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood / Molly D.B. PRIGGE ; Andrew ALEXANDER ; Brandon ZIELINSKI ; Janet E. LAINHART ; Jace KING in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 24 Titre : Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood Type de document : texte imprimé Auteurs : Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur Article en page(s) : 24 Langues : Anglais (eng) Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Flexible nonlinear modeling reveals age-related differences in resting-state functional brain connectivity in autistic males from childhood to mid-adulthood [texte imprimé] / Molly D.B. PRIGGE, Auteur ; Andrew ALEXANDER, Auteur ; Brandon ZIELINSKI, Auteur ; Janet E. LAINHART, Auteur ; Jace KING, Auteur . - 24. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 24 Mots-clés : Humans  Male  Child  Adolescent  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Connectome/methods  Adult  Young Adult  Child, Preschool  Cross-Sectional Studies  Autistic Disorder/physiopathology  Nonlinear Dynamics  Autism Spectrum Disorder/physiopathology  Age Factors  Nerve Net/physiopathology  Age-related  Autism  Cross-sectional  Functional connectivity  Generalized additive model  fMRI  acquired by each individual site within the ABIDE repository. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Divergent age-related functional brain connectivity in autism spectrum disorder (ASD) has been observed using resting-state fMRI, although the specific findings are inconsistent across studies. Common statistical regression approaches that fit identical models across functional brain networks may contribute to these inconsistencies. Relationships among functional networks have been reported to follow unique nonlinear developmental trajectories, suggesting the need for flexible modeling. Here we apply generalized additive models (GAMs) to flexibly adapt to distinct network trajectories and simultaneously describe divergent age-related changes from childhood into mid-adulthood in ASD. METHODS: 1107 males, aged 5-40, from the ABIDE I & II cross-sectional datasets were analyzed. Functional connectivity was extracted using a network-based template. Connectivity values were harmonized using COMBAT-GAM. Connectivity-age relationships were assessed with thin-plate spline GAMs. Post-hoc analyses defined the age-ranges of divergent aging in ASD. RESULTS: Typically developing (TD) and ASD groups shared 15 brain connections that significantly changed with age (FDR-corrected p < 0.05). Network connectivity exhibited diverse nonlinear age-related trajectories across the functional connectome. Comparing ASD and TD groups, default mode to central executive between-network connectivity followed similar nonlinear paths with no group differences. Contrarily, the ASD group had chronic hypoconnectivity throughout default mode-ventral attentional (salience) and default mode-somatomotor aging trajectories. Within-network somatomotor connectivity was similar between groups in childhood but diverged in adolescence with the ASD group showing decreased within-network connectivity. Network connectivity between the somatomotor network and various other functional networks had fully disrupted age-related pathways in ASD compared to TD, displaying significantly different model curvatures and fits. LIMITATIONS: The present analysis includes only male participants and has a restricted age range, limiting analysis of early development and later life aging, years 40 and beyond. Additionally, our analysis is limited to large-scale network cortical functional parcellation. To parse more specificity of brain region connectivity, a fine-grained functional parcellation including subcortical areas may be warranted. CONCLUSION: Flexible non-linear modeling minimizes statistical assumptions and allows diagnosis-related brain connections to follow independent data-driven age-related pathways. Using GAMs, we describe complex age-related pathways throughout the human connectome and observe distinct periods of divergence in autism. En ligne : https://dx.doi.org/10.1186/s13229-025-00657-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

Objective diagnosis of attention-deficit/hyperactivity disorder by using load cell movement analysis under a smart chair in a simulated classroom: influence of sex and age / Chen-Sen OUYANG in Journal of Neurodevelopmental Disorders, 17 (2025)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 17 (2025) Titre : Objective diagnosis of attention-deficit/hyperactivity disorder by using load cell movement analysis under a smart chair in a simulated classroom: influence of sex and age Type de document : texte imprimé Auteurs : Chen-Sen OUYANG, Auteur ; Rong-Ching WU, Auteur ; Yi-Hung CHIU, Auteur ; Rei-Cheng YANG, Auteur ; Lung-Chang LIN, Auteur Langues : Anglais (eng) Mots-clés : Humans  Attention Deficit Disorder with Hyperactivity/diagnosis/physiopathology  Male  Female  Child  Sex Factors  Age Factors  Movement/physiology  Attention-deficit/hyperactivity disorder  Average trajectory length  Load cells  Smart chair  consent was obtained by a participant’s family member or legal guardian after the  procedure had been explained. In addition, informed consent was also obtained  from them for the publication of their children’s images. This study was approved  by the Institutional Review Board of Kaohsiung Medical University Hospital  (KMUIRB-SV(I)- 20190060) in accordance with the Declaration of Helsinki.  Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children, typically characterized by persistent patterns of inattention or hyperactivity-impulsivity. Its diagnosis relies on criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and is primarily based on subjective observations and information provided by parents and teachers. Despite the availability of assessment tools such as the Swanson, Nolan, and Pelham questionnaire, diagnosing ADHD in children remains challenging. Such scales predominantly offer subjective insights into the disorder. Therefore, in this study, we developed an objective method that employs load cells for the objective diagnosis of ADHD. METHODS: A simulated classroom environment was constructed to replicate a real-world setting. The setup included a desk, chair, and large screen. Load cells, which deform under applied force, were integrated into the four legs of the chair to capture movement data. This study involved 30 children with ADHD (14 boys and 16 girls; mean age: 8 years and 1 month ± 1 year and 10 months) and 30 age- and sex-matched children without ADHD (mean age: 8 years and 3 months ± 1 year and 10 months). Participants were instructed to sit on the chair and watch an age-appropriate educational video on mathematics. Movement data, captured through the load cells, were analyzed to calculate the average trajectory length (ATL) as a measure of activity. For participants with ADHD, SNAP-IV questionnaires were completed by parents and teachers. RESULTS: The ATL values for the ADHD and non-ADHD groups were 0.0378 ± 0.0191 and 0.0157 ± 0.0119 (p < 0.0001), respectively. In the ADHD group, boys exhibited a higher ATL (0.0443 ± 0.0100) than girls (0.0303 ± 0.0228; p = 0.0432). The SNAP-IV scores assigned by parents and teachers for participants with ADHD were 33.14 ± 13.75 and 30.95 ± 14.32, respectively. Decision tree classifiers incorporating sex as a variable demonstrated robust performance, achieving an accuracy of 90.67%, sensitivity of 92.33%, specificity of 89.00%, and area under the curve of 91.06%. CONCLUSION: The smart chair equipped with load cells is an interesting development in progress tool for the objective diagnosis of ADHD and can aid clinical physicians in making decisions regarding ADHD evaluation. En ligne : https://dx.doi.org/10.1186/s11689-025-09641-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Objective diagnosis of attention-deficit/hyperactivity disorder by using load cell movement analysis under a smart chair in a simulated classroom: influence of sex and age [texte imprimé] / Chen-Sen OUYANG, Auteur ; Rong-Ching WU, Auteur ; Yi-Hung CHIU, Auteur ; Rei-Cheng YANG, Auteur ; Lung-Chang LIN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 17 (2025) Mots-clés : Humans  Attention Deficit Disorder with Hyperactivity/diagnosis/physiopathology  Male  Female  Child  Sex Factors  Age Factors  Movement/physiology  Attention-deficit/hyperactivity disorder  Average trajectory length  Load cells  Smart chair  consent was obtained by a participant’s family member or legal guardian after the  procedure had been explained. In addition, informed consent was also obtained  from them for the publication of their children’s images. This study was approved  by the Institutional Review Board of Kaohsiung Medical University Hospital  (KMUIRB-SV(I)- 20190060) in accordance with the Declaration of Helsinki.  Competing interests: The authors declare no competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder in children, typically characterized by persistent patterns of inattention or hyperactivity-impulsivity. Its diagnosis relies on criteria outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and is primarily based on subjective observations and information provided by parents and teachers. Despite the availability of assessment tools such as the Swanson, Nolan, and Pelham questionnaire, diagnosing ADHD in children remains challenging. Such scales predominantly offer subjective insights into the disorder. Therefore, in this study, we developed an objective method that employs load cells for the objective diagnosis of ADHD. METHODS: A simulated classroom environment was constructed to replicate a real-world setting. The setup included a desk, chair, and large screen. Load cells, which deform under applied force, were integrated into the four legs of the chair to capture movement data. This study involved 30 children with ADHD (14 boys and 16 girls; mean age: 8 years and 1 month ± 1 year and 10 months) and 30 age- and sex-matched children without ADHD (mean age: 8 years and 3 months ± 1 year and 10 months). Participants were instructed to sit on the chair and watch an age-appropriate educational video on mathematics. Movement data, captured through the load cells, were analyzed to calculate the average trajectory length (ATL) as a measure of activity. For participants with ADHD, SNAP-IV questionnaires were completed by parents and teachers. RESULTS: The ATL values for the ADHD and non-ADHD groups were 0.0378 ± 0.0191 and 0.0157 ± 0.0119 (p < 0.0001), respectively. In the ADHD group, boys exhibited a higher ATL (0.0443 ± 0.0100) than girls (0.0303 ± 0.0228; p = 0.0432). The SNAP-IV scores assigned by parents and teachers for participants with ADHD were 33.14 ± 13.75 and 30.95 ± 14.32, respectively. Decision tree classifiers incorporating sex as a variable demonstrated robust performance, achieving an accuracy of 90.67%, sensitivity of 92.33%, specificity of 89.00%, and area under the curve of 91.06%. CONCLUSION: The smart chair equipped with load cells is an interesting development in progress tool for the objective diagnosis of ADHD and can aid clinical physicians in making decisions regarding ADHD evaluation. En ligne : https://dx.doi.org/10.1186/s11689-025-09641-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

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