Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions / Troy VARGASON in Research in Autism Spectrum Disorders, 77 (September 2020)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 77 (September 2020) . - 101644 Titre : Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions Type de document : texte imprimé Auteurs : Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur Article en page(s) : 101644 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Co-occurring conditions  Folate-dependent one-carbon metabolism  Transsulfuration  Multivariate analysis  Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432 [article] Classification of autism spectrum disorder from blood metabolites: Robustness to the presence of co-occurring conditions [texte imprimé] / Troy VARGASON, Auteur ; Emily ROTH, Auteur ; Genevieve GRIVAS, Auteur ; Jennifer FERINA, Auteur ; Richard E. FRYE, Auteur ; Juergen HAHN, Auteur . - 101644. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 77 (September 2020) . - 101644 Mots-clés : Autism spectrum disorder  Co-occurring conditions  Folate-dependent one-carbon metabolism  Transsulfuration  Multivariate analysis  Classification Index. décimale : PER Périodiques Résumé : Background Previous studies have found plasma measurements of metabolites from the folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathways to be useful for differentiating individuals with autism spectrum disorder (ASD) from their typically developing peers. However, ASD is heterogeneous due to wide variation in the presence of co-occurring behavioral and medical conditions, and it is unknown how these conditions influence the ability to identify ASD based on FOCM/TS metabolites. Method This study employs a previously developed multivariate model that makes use of five FOCM/TS measurements (S-adenosylmethionine/S-adenosylhomocysteine, glutamylcysteine, glutathione disulfide, free cystine/free cysteine, and percent oxidized glutathione) to distinguish children with ASD from typically developing children. The model is used here to evaluate an independent cohort of individuals having ASD with diagnosed co-occurring conditions (age range 2–17 years old) and assess classifier performance in the presence/absence of these conditions. The four categories of co-occurring conditions considered were allergic disorders, gastrointestinal disorders, immune/metabolic disorders, and neurological disorders. All data were collected and retrospectively analyzed from previous clinical studies. Results The model was able to identify 124 of 131 participants with ASD (94.7 %) correctly regardless of co-occurring condition status. Model performance was generally not sensitive to the absence or presence of most co-occurring conditions, with the exceptions of ever/never having allergies or gastrointestinal symptoms, or currently (not) having any condition, all of which had minor impacts on model prediction accuracy. Conclusion The results of this exploratory study suggest that a FOCM/TS-based classifier for diagnosing ASD may potentially be robust to variations in co-occurring conditions and potentially applicable across ASD subtypes. Larger, more comprehensive follow-up studies with typically developing and/or developmentally delayed control groups are required to provide a more conclusive assessment of classifier robustness to co-occurring conditions. En ligne : https://doi.org/10.1016/j.rasd.2020.101644 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=432

Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data / Troy VARGASON in Autism Research, 12-8 (August 2019)  

Public ISBD [article]  inAutism Research > 12-8 (August 2019) . - p.1272-1285 Titre : Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data Type de document : texte imprimé Auteurs : Troy VARGASON, Auteur ; Richard E. FRYE, Auteur ; Deborah L. MCGUINNESS, Auteur ; Juergen HAHN, Auteur Article en page(s) : p.1272-1285 Langues : Anglais (eng) Mots-clés : k-means clustering  autism spectrum disorder  co-occurring condition  comorbidity  medical claims  retrospective analysis Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) are frequently affected by co-occurring medical conditions (COCs), which vary in severity, age of onset, and pathophysiological characteristics. The presence of COCs contributes to significant heterogeneity in the clinical presentation of ASD between individuals and a better understanding of COCs may offer greater insight into the etiology of ASD in specific subgroups while also providing guidance for diagnostic and treatment protocols. This study retrospectively analyzed medical claims data from a private United States health plan between years 2000 and 2015 to investigate patterns of COC diagnoses in a cohort of 3,278 children with ASD throughout their first 5 years of enrollment compared to 279,693 children from the general population without ASD diagnoses (POP cohort). Three subgroups of children with ASD were identified by k-means clustering using these COC patterns. The first cluster was characterized by generally high rates of COC diagnosis and comprised 23.7% (n = 776) of the cohort. Diagnoses of developmental delays were dominant in the second cluster containing 26.5% (n = 870) of the cohort. Children in the third cluster, making up 49.8% (n = 1,632) of the cohort, had the lowest rates of COC diagnosis, which were slightly higher than rates observed in the POP cohort. A secondary analysis using these data found that gastrointestinal and immune disorders showed similar longitudinal patterns of prevalence, as did seizure and sleep disorders. These findings may help to better inform the development of diagnostic workup and treatment protocols for COCs in children with ASD. Autism Res 2019, 12: 1272-1285. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Medical conditions that co-occur with autism spectrum disorder (ASD) vary significantly from person to person. This study analyzed patterns in diagnosis of co-occurring conditions from medical claims data and observed three subtypes of children with ASD. These results may aid with screening for co-occurring conditions in children with ASD and with understanding ASD subtypes. En ligne : http://dx.doi.org/10.1002/aur.2128 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405 [article] Clustering of co-occurring conditions in autism spectrum disorder during early childhood: A retrospective analysis of medical claims data [texte imprimé] / Troy VARGASON, Auteur ; Richard E. FRYE, Auteur ; Deborah L. MCGUINNESS, Auteur ; Juergen HAHN, Auteur . - p.1272-1285. Langues : Anglais (eng) in Autism Research > 12-8 (August 2019) . - p.1272-1285 Mots-clés : k-means clustering  autism spectrum disorder  co-occurring condition  comorbidity  medical claims  retrospective analysis Index. décimale : PER Périodiques Résumé : Individuals with autism spectrum disorder (ASD) are frequently affected by co-occurring medical conditions (COCs), which vary in severity, age of onset, and pathophysiological characteristics. The presence of COCs contributes to significant heterogeneity in the clinical presentation of ASD between individuals and a better understanding of COCs may offer greater insight into the etiology of ASD in specific subgroups while also providing guidance for diagnostic and treatment protocols. This study retrospectively analyzed medical claims data from a private United States health plan between years 2000 and 2015 to investigate patterns of COC diagnoses in a cohort of 3,278 children with ASD throughout their first 5 years of enrollment compared to 279,693 children from the general population without ASD diagnoses (POP cohort). Three subgroups of children with ASD were identified by k-means clustering using these COC patterns. The first cluster was characterized by generally high rates of COC diagnosis and comprised 23.7% (n = 776) of the cohort. Diagnoses of developmental delays were dominant in the second cluster containing 26.5% (n = 870) of the cohort. Children in the third cluster, making up 49.8% (n = 1,632) of the cohort, had the lowest rates of COC diagnosis, which were slightly higher than rates observed in the POP cohort. A secondary analysis using these data found that gastrointestinal and immune disorders showed similar longitudinal patterns of prevalence, as did seizure and sleep disorders. These findings may help to better inform the development of diagnostic workup and treatment protocols for COCs in children with ASD. Autism Res 2019, 12: 1272-1285. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Medical conditions that co-occur with autism spectrum disorder (ASD) vary significantly from person to person. This study analyzed patterns in diagnosis of co-occurring conditions from medical claims data and observed three subtypes of children with ASD. These results may aid with screening for co-occurring conditions in children with ASD and with understanding ASD subtypes. En ligne : http://dx.doi.org/10.1002/aur.2128 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=405

Correction to: Randomized controlled trial of sulforaphane and metabolite discovery in children with Autism Spectrum Disorder / Andrew W. ZIMMERMAN in Molecular Autism, 12 (2021)  

Public ISBD [article]  inMolecular Autism > 12 (2021) . - 44 p. Titre : Correction to: Randomized controlled trial of sulforaphane and metabolite discovery in children with Autism Spectrum Disorder Type de document : texte imprimé Auteurs : Andrew W. ZIMMERMAN, Auteur ; Kanwaljit SINGH, Auteur ; Susan L. CONNORS, Auteur ; Hua LIU, Auteur ; Anita A PANJWANI, Auteur ; Li-Ching LEE, Auteur ; Eileen DIGGINS, Auteur ; Ann FOLEY, Auteur ; Stepan MELNYK, Auteur ; Indrapal N. SINGH, Auteur ; S. Jill JAMES, Auteur ; Richard E. FRYE, Auteur ; Jed W. FAHEY, Auteur Article en page(s) : 44 p. Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1186/s13229-021-00451-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459 [article] Correction to: Randomized controlled trial of sulforaphane and metabolite discovery in children with Autism Spectrum Disorder [texte imprimé] / Andrew W. ZIMMERMAN, Auteur ; Kanwaljit SINGH, Auteur ; Susan L. CONNORS, Auteur ; Hua LIU, Auteur ; Anita A PANJWANI, Auteur ; Li-Ching LEE, Auteur ; Eileen DIGGINS, Auteur ; Ann FOLEY, Auteur ; Stepan MELNYK, Auteur ; Indrapal N. SINGH, Auteur ; S. Jill JAMES, Auteur ; Richard E. FRYE, Auteur ; Jed W. FAHEY, Auteur . - 44 p. Langues : Anglais (eng) in Molecular Autism > 12 (2021) . - 44 p. Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1186/s13229-021-00451-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=459

Effectiveness of Methylcobalamin and Folinic Acid Treatment on Adaptive Behavior in Children with Autistic Disorder Is Related to Glutathione Redox Status / Richard E. FRYE in Autism Research and Treatment, (November 2013)  

Public ISBD [article]  inAutism Research and Treatment > (November 2013) . - 9 p. Titre : Effectiveness of Methylcobalamin and Folinic Acid Treatment on Adaptive Behavior in Children with Autistic Disorder Is Related to Glutathione Redox Status Type de document : texte imprimé Auteurs : Richard E. FRYE, Auteur ; Stepan MELNYK, Auteur ; George J. FUCHS, Auteur ; Tyra REID, Auteur ; Stefanie JERNIGAN, Auteur ; Oleksandra PAVLIV, Auteur ; Amanda HUBANKS, Auteur ; David W. GAYLOR, Auteur ; Laura WALTERS, Auteur ; S. Jill JAMES, Auteur Année de publication : 2013 Article en page(s) : 9 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Treatments targeting metabolic abnormalities in children with autism are limited. Previously we reported that a nutritional treatment significantly improved glutathione metabolism in children with autistic disorder. In this study we evaluated changes in adaptive behaviors in this cohort and determined whether such changes are related to changes in glutathione metabolism. Thirty-seven children diagnosed with autistic disorder and abnormal glutathione and methylation metabolism were treated with twice weekly 75 µg/Kg methylcobalamin and twice daily 400 µg folinic acid for 3 months in an open-label fashion. The Vineland Adaptive Behavior Scale (VABS) and glutathione redox metabolites were measured at baseline and at the end of the treatment period. Over the treatment period, all VABS subscales significantly improved with an average effect size of 0.59, and an average improvement in skills of 7.7 months. A greater improvement in glutathione redox status was associated with a greater improvement in expressive communication, personal and domestic daily living skills, and interpersonal, play-leisure, and coping social skills. Age, gender, and history of regression did not influence treatment response. The significant behavioral improvements observed and the relationship between these improvements to glutathione redox status suggest that nutritional interventions targeting redox metabolism may benefit some children with autism. En ligne : http://dx.doi.org/10.1155/2013/609705 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=228 [article] Effectiveness of Methylcobalamin and Folinic Acid Treatment on Adaptive Behavior in Children with Autistic Disorder Is Related to Glutathione Redox Status [texte imprimé] / Richard E. FRYE, Auteur ; Stepan MELNYK, Auteur ; George J. FUCHS, Auteur ; Tyra REID, Auteur ; Stefanie JERNIGAN, Auteur ; Oleksandra PAVLIV, Auteur ; Amanda HUBANKS, Auteur ; David W. GAYLOR, Auteur ; Laura WALTERS, Auteur ; S. Jill JAMES, Auteur . - 2013 . - 9 p. Langues : Anglais (eng) in Autism Research and Treatment > (November 2013) . - 9 p. Index. décimale : PER Périodiques Résumé : Treatments targeting metabolic abnormalities in children with autism are limited. Previously we reported that a nutritional treatment significantly improved glutathione metabolism in children with autistic disorder. In this study we evaluated changes in adaptive behaviors in this cohort and determined whether such changes are related to changes in glutathione metabolism. Thirty-seven children diagnosed with autistic disorder and abnormal glutathione and methylation metabolism were treated with twice weekly 75 µg/Kg methylcobalamin and twice daily 400 µg folinic acid for 3 months in an open-label fashion. The Vineland Adaptive Behavior Scale (VABS) and glutathione redox metabolites were measured at baseline and at the end of the treatment period. Over the treatment period, all VABS subscales significantly improved with an average effect size of 0.59, and an average improvement in skills of 7.7 months. A greater improvement in glutathione redox status was associated with a greater improvement in expressive communication, personal and domestic daily living skills, and interpersonal, play-leisure, and coping social skills. Age, gender, and history of regression did not influence treatment response. The significant behavioral improvements observed and the relationship between these improvements to glutathione redox status suggest that nutritional interventions targeting redox metabolism may benefit some children with autism. En ligne : http://dx.doi.org/10.1155/2013/609705 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=228

Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome / Melissa RASPA ; Carla M. BANN ; Julia M. GABLE ; Holly K. HARRIS ; Dejan B. BUDIMIROVIC ; Reymundo LOZANO ; Elizabeth BERRY-KRAVIS ; Milen VELINOV ; Amy L. TALBOY ; Stephanie L. SHERMAN ; Walter E. KAUFMANN ; Marcy SCHUSTER ; Nicole TARTAGLIA ; Robyn A. FILIPINK ; Dejan B. BUDIMIROVIC ; Deborah BARBOUTH ; Amy A. LIGHTBODY ; Allan L. REISS ; Carol M. DELAHUNTY ; Randi J. HAGERMAN ; David HESSL ; Craig ERICKSON ; Gary FELDMAN ; Jonathan D. PICKER ; Ave M. LACHIEWICZ ; Holly K. HARRIS ; Amy N. ESLER ; Richard E. FRYE ; Patricia A. EVANS ; Mary Ann MORRIS ; Barbara HAAS-GIVLER ; Andrea L. GROPMAN ; Ryan S. UY ; Carie M. BUCHANAN ; Jean A. FRAZIER ; Stephanie M. MORRIS ; FORWARD CONSORTIUM in Journal of Autism and Developmental Disorders, 54-2 (February 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-2 (February 2024) . - p.725-737 Titre : Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome Type de document : texte imprimé Auteurs : Melissa RASPA, Auteur ; Carla M. BANN, Auteur ; Julia M. GABLE, Auteur ; Holly K. HARRIS, Auteur ; Dejan B. BUDIMIROVIC, Auteur ; Reymundo LOZANO, Auteur ; Elizabeth BERRY-KRAVIS, Auteur ; Milen VELINOV, Auteur ; Amy L. TALBOY, Auteur ; Stephanie L. SHERMAN, Auteur ; Walter E. KAUFMANN, Auteur ; Marcy SCHUSTER, Auteur ; Nicole TARTAGLIA, Auteur ; Robyn A. FILIPINK, Auteur ; Dejan B. BUDIMIROVIC, Auteur ; Deborah BARBOUTH, Auteur ; Amy A. LIGHTBODY, Auteur ; Allan L. REISS, Auteur ; Carol M. DELAHUNTY, Auteur ; Randi J. HAGERMAN, Auteur ; David HESSL, Auteur ; Craig ERICKSON, Auteur ; Gary FELDMAN, Auteur ; Jonathan D. PICKER, Auteur ; Ave M. LACHIEWICZ, Auteur ; Holly K. HARRIS, Auteur ; Amy N. ESLER, Auteur ; Richard E. FRYE, Auteur ; Patricia A. EVANS, Auteur ; Mary Ann MORRIS, Auteur ; Barbara HAAS-GIVLER, Auteur ; Andrea L. GROPMAN, Auteur ; Ryan S. UY, Auteur ; Carie M. BUCHANAN, Auteur ; Jean A. FRAZIER, Auteur ; Stephanie M. MORRIS, Auteur ; FORWARD CONSORTIUM, Auteur Article en page(s) : p.725-737 Index. décimale : PER Périodiques Résumé : Fragile X syndrome (FXS) is characterized by variable neurobehavioral abnormalities, which leads to difficulties in developing and evaluating treatments and in determining accurate prognosis. We employed a pediatric cross-sectional sample (1,072 males, 338 females) from FORWARD, a clinic-based natural history study, to identify behavioral subtypes by latent class analysis. Input included co-occurring behavioral conditions, sleep and sensory problems, autistic behavior scales (SCQ, SRS-2), and the Aberrant Behavior Checklist revised for FXS (ABCFX). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABCFX profiles, and adequate non-overlap (? 71%): ?Mild? (31%), ?Moderate without Social Impairment? (32%), ?Moderate with Social Impairment? (7%), ?Moderate with Disruptive Behavior? (20%), and ?Severe? (9%). Our findings support FXS subtyping, for improving clinical management and therapeutic development. En ligne : https://doi.org/10.1007/s10803-022-05821-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520 [article] Latent Class Analysis Identifies Distinctive Behavioral Subtypes in Children with Fragile X Syndrome [texte imprimé] / Melissa RASPA, Auteur ; Carla M. BANN, Auteur ; Julia M. GABLE, Auteur ; Holly K. HARRIS, Auteur ; Dejan B. BUDIMIROVIC, Auteur ; Reymundo LOZANO, Auteur ; Elizabeth BERRY-KRAVIS, Auteur ; Milen VELINOV, Auteur ; Amy L. TALBOY, Auteur ; Stephanie L. SHERMAN, Auteur ; Walter E. KAUFMANN, Auteur ; Marcy SCHUSTER, Auteur ; Nicole TARTAGLIA, Auteur ; Robyn A. FILIPINK, Auteur ; Dejan B. BUDIMIROVIC, Auteur ; Deborah BARBOUTH, Auteur ; Amy A. LIGHTBODY, Auteur ; Allan L. REISS, Auteur ; Carol M. DELAHUNTY, Auteur ; Randi J. HAGERMAN, Auteur ; David HESSL, Auteur ; Craig ERICKSON, Auteur ; Gary FELDMAN, Auteur ; Jonathan D. PICKER, Auteur ; Ave M. LACHIEWICZ, Auteur ; Holly K. HARRIS, Auteur ; Amy N. ESLER, Auteur ; Richard E. FRYE, Auteur ; Patricia A. EVANS, Auteur ; Mary Ann MORRIS, Auteur ; Barbara HAAS-GIVLER, Auteur ; Andrea L. GROPMAN, Auteur ; Ryan S. UY, Auteur ; Carie M. BUCHANAN, Auteur ; Jean A. FRAZIER, Auteur ; Stephanie M. MORRIS, Auteur ; FORWARD CONSORTIUM, Auteur . - p.725-737. in Journal of Autism and Developmental Disorders > 54-2 (February 2024) . - p.725-737 Index. décimale : PER Périodiques Résumé : Fragile X syndrome (FXS) is characterized by variable neurobehavioral abnormalities, which leads to difficulties in developing and evaluating treatments and in determining accurate prognosis. We employed a pediatric cross-sectional sample (1,072 males, 338 females) from FORWARD, a clinic-based natural history study, to identify behavioral subtypes by latent class analysis. Input included co-occurring behavioral conditions, sleep and sensory problems, autistic behavior scales (SCQ, SRS-2), and the Aberrant Behavior Checklist revised for FXS (ABCFX). A 5-class solution yielded the most clinically meaningful, pharmacotherapy independent behavioral groups with distinctive SCQ, SRS-2, and ABCFX profiles, and adequate non-overlap (? 71%): ?Mild? (31%), ?Moderate without Social Impairment? (32%), ?Moderate with Social Impairment? (7%), ?Moderate with Disruptive Behavior? (20%), and ?Severe? (9%). Our findings support FXS subtyping, for improving clinical management and therapeutic development. En ligne : https://doi.org/10.1007/s10803-022-05821-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=520

Maternal risk factors vary between subpopulations of children with autism spectrum disorder / Genevieve GRIVAS in Autism Research, 15-11 (November 2022)  

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Randomized controlled trial of sulforaphane and metabolite discovery in children with Autism Spectrum Disorder / Andrew W. ZIMMERMAN in Molecular Autism, 12 (2021)  

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Substantial Problems with Measuring Brain Mitochondrial Dysfunction in Autism Spectrum Disorder Using Magnetic Resonance Spectroscopy / Daniel ROSSIGNOL in Journal of Autism and Developmental Disorders, 42-4 (April 2012)  

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The lifetime social cost of autism: 1990–2029 / Janet CAKIR in Research in Autism Spectrum Disorders, 72 (April 2020)  

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Treatment for Sleep Problems in Children with Autism and Caregiver Spillover Effects / J. Mick TILFORD in Journal of Autism and Developmental Disorders, 45-11 (November 2015)  

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