Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism / H. J. NUSKE in Autism Research, 15-1 (January 2022)  

Public ISBD [article]  inAutism Research > 15-1 (January 2022) . - p.117-130 Titre : Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism Type de document : Texte imprimé et/ou numérique Auteurs : H. J. NUSKE, Auteur ; M. S. GOODWIN, Auteur ; Y. KUSHLEYEVA, Auteur ; D. FORSYTH, Auteur ; J. W. PENNINGTON, Auteur ; A. J. MASINO, Auteur ; E. FINKEL, Auteur ; Arjun BHATTACHARYA, Auteur ; J. TAN, Auteur ; H. TAI, Auteur ; Z. ATKINSON-DIAZ, Auteur ; C. P. BONAFIDE, Auteur ; J. D. HERRINGTON, Auteur Article en page(s) : p.117-130 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder  Autistic Disorder  Child  Fitness Trackers  Heart Rate  Humans  Wearable Electronic Devices  cardiovascular system  feasibility studies  heart rate  physiologic monitoring  physiological stress Index. décimale : PER Périodiques Résumé : Commercially available wearable biosensors have the potential to enhance psychophysiology research and digital health technologies for autism by enabling stress or arousal monitoring in naturalistic settings. However, such monitors may not be comfortable for children with autism due to sensory sensitivities. To determine the feasibility of wearable technology in children with autism age 8-12?years, we first selected six consumer-grade wireless cardiovascular monitors and tested them during rest and movement conditions in 23 typically developing adults. Subsequently, the best performing monitors (based on data quality robustness statistics), Polar and Mio Fuse, were evaluated in 32 children with autism and 23 typically developing children during a 2-h session, including rest and mild stress-inducing tasks. Cardiovascular data were recorded simultaneously across monitors using custom software. We administered the Comfort Rating Scales to children. Although the Polar monitor was less comfortable for children with autism than typically developing children, absolute scores demonstrated that, on average, all children found each monitor comfortable. For most children, data from the Mio Fuse (96%-100%) and Polar (83%-96%) passed quality thresholds of data robustness. Moreover, in the stress relative to rest condition, heart rate increased for the Polar, F(1,53) = 135.70, p? En ligne : http://dx.doi.org/10.1002/aur.2633 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Evaluating commercially available wireless cardiovascular monitors for measuring and transmitting real-time physiological responses in children with autism [Texte imprimé et/ou numérique] / H. J. NUSKE, Auteur ; M. S. GOODWIN, Auteur ; Y. KUSHLEYEVA, Auteur ; D. FORSYTH, Auteur ; J. W. PENNINGTON, Auteur ; A. J. MASINO, Auteur ; E. FINKEL, Auteur ; Arjun BHATTACHARYA, Auteur ; J. TAN, Auteur ; H. TAI, Auteur ; Z. ATKINSON-DIAZ, Auteur ; C. P. BONAFIDE, Auteur ; J. D. HERRINGTON, Auteur . - p.117-130. Langues : Anglais (eng) in Autism Research > 15-1 (January 2022) . - p.117-130 Mots-clés : Adult  Autism Spectrum Disorder  Autistic Disorder  Child  Fitness Trackers  Heart Rate  Humans  Wearable Electronic Devices  cardiovascular system  feasibility studies  heart rate  physiologic monitoring  physiological stress Index. décimale : PER Périodiques Résumé : Commercially available wearable biosensors have the potential to enhance psychophysiology research and digital health technologies for autism by enabling stress or arousal monitoring in naturalistic settings. However, such monitors may not be comfortable for children with autism due to sensory sensitivities. To determine the feasibility of wearable technology in children with autism age 8-12?years, we first selected six consumer-grade wireless cardiovascular monitors and tested them during rest and movement conditions in 23 typically developing adults. Subsequently, the best performing monitors (based on data quality robustness statistics), Polar and Mio Fuse, were evaluated in 32 children with autism and 23 typically developing children during a 2-h session, including rest and mild stress-inducing tasks. Cardiovascular data were recorded simultaneously across monitors using custom software. We administered the Comfort Rating Scales to children. Although the Polar monitor was less comfortable for children with autism than typically developing children, absolute scores demonstrated that, on average, all children found each monitor comfortable. For most children, data from the Mio Fuse (96%-100%) and Polar (83%-96%) passed quality thresholds of data robustness. Moreover, in the stress relative to rest condition, heart rate increased for the Polar, F(1,53) = 135.70, p? En ligne : http://dx.doi.org/10.1002/aur.2633 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm / Hudson P. Jr SANTOS in Molecular Autism, 11 (2020)  

Public ISBD [article]  inMolecular Autism > 11 (2020) Titre : Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm Type de document : Texte imprimé et/ou numérique Auteurs : Hudson P. Jr SANTOS, Auteur ; Arjun BHATTACHARYA, Auteur ; Robert M. JOSEPH, Auteur ; Lisa SMEESTER, Auteur ; Karl C. K. KUBAN, Auteur ; Carmen J. MARSIT, Auteur ; T. Michael O'SHEA, Auteur ; Rebecca C. FRY, Auteur Langues : Anglais (eng) Mots-clés : Differential expression analysis  Epigenome-wide association  Multi-omic aggregation  Placental gene regulation  Prenatal neurodevelopmental programming  Social and cognitive impairment Index. décimale : PER Périodiques Résumé : BACKGROUND: Children born extremely preterm are at heightened risk for intellectual and social impairment, including Autism Spectrum Disorder (ASD). There is increasing evidence for a key role of the placenta in prenatal developmental programming, suggesting that the placenta may, in part, contribute to origins of neurodevelopmental outcomes. METHODS: We examined associations between placental transcriptomic and epigenomic profiles and assessed their ability to predict intellectual and social impairment at age 10 years in 379 children from the Extremely Low Gestational Age Newborn (ELGAN) cohort. Assessment of intellectual ability (IQ) and social function was completed with the Differential Ability Scales-II and Social Responsiveness Scale (SRS), respectively. Examining IQ and SRS allows for studying ASD risk beyond the diagnostic criteria, as IQ and SRS are continuous measures strongly correlated with ASD. Genome-wide mRNA, CpG methylation and miRNA were assayeds with the Illumina Hiseq 2500, HTG EdgeSeq miRNA Whole Transcriptome Assay, and Illumina EPIC/850 K array, respectively. We conducted genome-wide differential analyses of placental mRNA, miRNA, and CpG methylation data. These molecular features were then integrated for a predictive analysis of IQ and SRS outcomes using kernel aggregation regression. We lastly examined associations between ASD and the multi-omic-predicted component of IQ and SRS. RESULTS: Genes with important roles in neurodevelopment and placental tissue organization were associated with intellectual and social impairment. Kernel aggregations of placental multi-omics strongly predicted intellectual and social function, explaining approximately 8% and 12% of variance in SRS and IQ scores via cross-validation, respectively. Predicted in-sample SRS and IQ showed significant positive and negative associations with ASD case-control status. LIMITATIONS: The ELGAN cohort comprises children born pre-term, and generalization may be affected by unmeasured confounders associated with low gestational age. We conducted external validation of predictive models, though the sample size (N = 49) and the scope of the available out-sample placental dataset are limited. Further validation of the models is merited. CONCLUSIONS: Aggregating information from biomarkers within and among molecular data types improves prediction of complex traits like social and intellectual ability in children born extremely preterm, suggesting that traits within the placenta-brain axis may be omnigenic. En ligne : http://dx.doi.org/10.1186/s13229-020-00402-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438 [article] Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm [Texte imprimé et/ou numérique] / Hudson P. Jr SANTOS, Auteur ; Arjun BHATTACHARYA, Auteur ; Robert M. JOSEPH, Auteur ; Lisa SMEESTER, Auteur ; Karl C. K. KUBAN, Auteur ; Carmen J. MARSIT, Auteur ; T. Michael O'SHEA, Auteur ; Rebecca C. FRY, Auteur. Langues : Anglais (eng) in Molecular Autism > 11 (2020) Mots-clés : Differential expression analysis  Epigenome-wide association  Multi-omic aggregation  Placental gene regulation  Prenatal neurodevelopmental programming  Social and cognitive impairment Index. décimale : PER Périodiques Résumé : BACKGROUND: Children born extremely preterm are at heightened risk for intellectual and social impairment, including Autism Spectrum Disorder (ASD). There is increasing evidence for a key role of the placenta in prenatal developmental programming, suggesting that the placenta may, in part, contribute to origins of neurodevelopmental outcomes. METHODS: We examined associations between placental transcriptomic and epigenomic profiles and assessed their ability to predict intellectual and social impairment at age 10 years in 379 children from the Extremely Low Gestational Age Newborn (ELGAN) cohort. Assessment of intellectual ability (IQ) and social function was completed with the Differential Ability Scales-II and Social Responsiveness Scale (SRS), respectively. Examining IQ and SRS allows for studying ASD risk beyond the diagnostic criteria, as IQ and SRS are continuous measures strongly correlated with ASD. Genome-wide mRNA, CpG methylation and miRNA were assayeds with the Illumina Hiseq 2500, HTG EdgeSeq miRNA Whole Transcriptome Assay, and Illumina EPIC/850 K array, respectively. We conducted genome-wide differential analyses of placental mRNA, miRNA, and CpG methylation data. These molecular features were then integrated for a predictive analysis of IQ and SRS outcomes using kernel aggregation regression. We lastly examined associations between ASD and the multi-omic-predicted component of IQ and SRS. RESULTS: Genes with important roles in neurodevelopment and placental tissue organization were associated with intellectual and social impairment. Kernel aggregations of placental multi-omics strongly predicted intellectual and social function, explaining approximately 8% and 12% of variance in SRS and IQ scores via cross-validation, respectively. Predicted in-sample SRS and IQ showed significant positive and negative associations with ASD case-control status. LIMITATIONS: The ELGAN cohort comprises children born pre-term, and generalization may be affected by unmeasured confounders associated with low gestational age. We conducted external validation of predictive models, though the sample size (N = 49) and the scope of the available out-sample placental dataset are limited. Further validation of the models is merited. CONCLUSIONS: Aggregating information from biomarkers within and among molecular data types improves prediction of complex traits like social and intellectual ability in children born extremely preterm, suggesting that traits within the placenta-brain axis may be omnigenic. En ligne : http://dx.doi.org/10.1186/s13229-020-00402-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=438

---

1 (1 - 2 / 2)