Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex / Abigail DICKINSON in Autism Research, 12-12 (December)  

Public ISBD [article]  inAutism Research > 12-12 (December) . - p.1758-1773 Titre : Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex Type de document : texte imprimé Auteurs : Abigail DICKINSON, Auteur ; Kandice J. VARCIN, Auteur ; Mustafa SAHIN, Auteur ; Charles A. NELSON, Auteur ; Shafali S. JESTE, Auteur Année de publication : 2019 Article en page(s) : p.1758-1773 Langues : Anglais (eng) Mots-clés : alpha oscillations  autism spectrum disorder  cognitive function  electroencephalography  functional connectivity  infancy  tuberous sclerosis complex Index. décimale : PER Périodiques Résumé : Tuberous sclerosis complex (TSC) is a rare genetic disorder that confers a high risk for autism spectrum disorders (ASD), with behavioral predictors of ASD emerging early in life. Deviations in structural and functional neural connectivity are highly implicated in both TSC and ASD. For the first time, we explore whether electroencephalographic (EEG) measures of neural network function precede or predict the emergence of ASD in TSC. We determine whether altered brain function (a) is present in infancy in TSC, (b) differentiates infants with TSC based on ASD diagnostic status, and (c) is associated with later cognitive function. We studied 35 infants with TSC (N = 35), and a group of typically developing infants (N = 20) at 12 and 24 months of age. Infants with TSC were later subdivided into ASD and non-ASD groups based on clinical evaluation. We measured features of spontaneous alpha oscillations (6-12 Hz) that are closely associated with neural network development: alpha power, alpha phase coherence (APC), and peak alpha frequency (PAF). Infants with TSC demonstrated reduced interhemispheric APC compared to controls at 12 months of age, and these differences were found to be most pronounced at 24 months in the infants who later developed ASD. Across all infants, PAF at 24 months was associated with verbal and nonverbal cognition at 36 months. Associations between early network function and later neurodevelopmental and cognitive outcomes highlight the potential utility of early scalable EEG markers to identify infants with TSC requiring additional targeted intervention initiated very early in life. Autism Res 2019, 12: 1758-1773. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Approximately half of infants with tuberous sclerosis complex (TSC) develop autism. Here, using EEG, we find that there is a reduction in communication between brain regions during infancy in TSC, and that the infants who show the largest reductions are those who later develop autism. Being able to identify infants who show early signs of disrupted brain development may improve the timing of early prediction and interventions in TSC, and also help us to understand how early brain changes lead to autism. En ligne : http://dx.doi.org/10.1002/aur.2193 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413 [article] Early patterns of functional brain development associated with autism spectrum disorder in tuberous sclerosis complex [texte imprimé] / Abigail DICKINSON, Auteur ; Kandice J. VARCIN, Auteur ; Mustafa SAHIN, Auteur ; Charles A. NELSON, Auteur ; Shafali S. JESTE, Auteur . - 2019 . - p.1758-1773. Langues : Anglais (eng) in Autism Research > 12-12 (December) . - p.1758-1773 Mots-clés : alpha oscillations  autism spectrum disorder  cognitive function  electroencephalography  functional connectivity  infancy  tuberous sclerosis complex Index. décimale : PER Périodiques Résumé : Tuberous sclerosis complex (TSC) is a rare genetic disorder that confers a high risk for autism spectrum disorders (ASD), with behavioral predictors of ASD emerging early in life. Deviations in structural and functional neural connectivity are highly implicated in both TSC and ASD. For the first time, we explore whether electroencephalographic (EEG) measures of neural network function precede or predict the emergence of ASD in TSC. We determine whether altered brain function (a) is present in infancy in TSC, (b) differentiates infants with TSC based on ASD diagnostic status, and (c) is associated with later cognitive function. We studied 35 infants with TSC (N = 35), and a group of typically developing infants (N = 20) at 12 and 24 months of age. Infants with TSC were later subdivided into ASD and non-ASD groups based on clinical evaluation. We measured features of spontaneous alpha oscillations (6-12 Hz) that are closely associated with neural network development: alpha power, alpha phase coherence (APC), and peak alpha frequency (PAF). Infants with TSC demonstrated reduced interhemispheric APC compared to controls at 12 months of age, and these differences were found to be most pronounced at 24 months in the infants who later developed ASD. Across all infants, PAF at 24 months was associated with verbal and nonverbal cognition at 36 months. Associations between early network function and later neurodevelopmental and cognitive outcomes highlight the potential utility of early scalable EEG markers to identify infants with TSC requiring additional targeted intervention initiated very early in life. Autism Res 2019, 12: 1758-1773. (c) 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Approximately half of infants with tuberous sclerosis complex (TSC) develop autism. Here, using EEG, we find that there is a reduction in communication between brain regions during infancy in TSC, and that the infants who show the largest reductions are those who later develop autism. Being able to identify infants who show early signs of disrupted brain development may improve the timing of early prediction and interventions in TSC, and also help us to understand how early brain changes lead to autism. En ligne : http://dx.doi.org/10.1002/aur.2193 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=413

EEG data collection in children with ASD: The role of state in data quality and spectral power / Charlotte DISTEFANO in Research in Autism Spectrum Disorders, 57 (January 2019)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 57 (January 2019) . - p.132-144 Titre : EEG data collection in children with ASD: The role of state in data quality and spectral power Type de document : texte imprimé Auteurs : Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali S. JESTE, Auteur Article en page(s) : p.132-144 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Intellectual disability  EEG  Spectral power Index. décimale : PER Périodiques Résumé : Background Electroencephalography can elucidate neurobiological mechanisms underlying heterogeneity in ASD. Studying the full range of children with ASD introduces methodological challenges stemming from participants’ difficulties tolerating the data collection process, leading to diminished EEG data retention and increased variability in participant ‘state’ during the recording. Quantifying state will improve data collection methods and aide in interpreting results. Objectives Observationally quantify participant state during the EEG recording; examine its relationship to child characteristics, data retention and spectral power. Methods Participants included 5–11 year-old children with ASD (N = 39) and age-matched TD children (N = 16). Participants were acclimated to the EEG environment using behavioral strategies. EEG was recorded while participants watched a video of bubbles. Participant ‘state’ was rated using a Likert scale (Perceived State Rating: PSR). Results Participants with ASD had more elevated PSR than TD participants. Less EEG data were retained in participants with higher PSR scores, but this was not related to age or IQ. TD participants had higher alpha power compared with the ASD group. Within the ASD group, participants with high PSR had decreased frontal alpha power. Conclusions Given supportive strategies, EEG data was collected from children with ASD across cognitive levels. Participant state influenced both EEG data retention and alpha spectral power. Alpha suppression is linked to attention and vigilance, suggesting that these participants were less ‘at rest’. This highlights the importance of considering state when conducting EEG studies with challenging participants, both to increase data retention rates and to quantify the influence of state on EEG variables. En ligne : https://doi.org/10.1016/j.rasd.2018.10.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371 [article] EEG data collection in children with ASD: The role of state in data quality and spectral power [texte imprimé] / Charlotte DISTEFANO, Auteur ; Abigail DICKINSON, Auteur ; Elizabeth BAKER, Auteur ; Shafali S. JESTE, Auteur . - p.132-144. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 57 (January 2019) . - p.132-144 Mots-clés : Autism spectrum disorder  Intellectual disability  EEG  Spectral power Index. décimale : PER Périodiques Résumé : Background Electroencephalography can elucidate neurobiological mechanisms underlying heterogeneity in ASD. Studying the full range of children with ASD introduces methodological challenges stemming from participants’ difficulties tolerating the data collection process, leading to diminished EEG data retention and increased variability in participant ‘state’ during the recording. Quantifying state will improve data collection methods and aide in interpreting results. Objectives Observationally quantify participant state during the EEG recording; examine its relationship to child characteristics, data retention and spectral power. Methods Participants included 5–11 year-old children with ASD (N = 39) and age-matched TD children (N = 16). Participants were acclimated to the EEG environment using behavioral strategies. EEG was recorded while participants watched a video of bubbles. Participant ‘state’ was rated using a Likert scale (Perceived State Rating: PSR). Results Participants with ASD had more elevated PSR than TD participants. Less EEG data were retained in participants with higher PSR scores, but this was not related to age or IQ. TD participants had higher alpha power compared with the ASD group. Within the ASD group, participants with high PSR had decreased frontal alpha power. Conclusions Given supportive strategies, EEG data was collected from children with ASD across cognitive levels. Participant state influenced both EEG data retention and alpha spectral power. Alpha suppression is linked to attention and vigilance, suggesting that these participants were less ‘at rest’. This highlights the importance of considering state when conducting EEG studies with challenging participants, both to increase data retention rates and to quantify the influence of state on EEG variables. En ligne : https://doi.org/10.1016/j.rasd.2018.10.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371

Oblique Orientation Discrimination Thresholds Are Superior in Those with a High Level of Autistic Traits / Abigail DICKINSON in Journal of Autism and Developmental Disorders, 44-11 (November 2014)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 44-11 (November 2014) . - p.2844-2850 Titre : Oblique Orientation Discrimination Thresholds Are Superior in Those with a High Level of Autistic Traits Type de document : texte imprimé Auteurs : Abigail DICKINSON, Auteur ; Myles JONES, Auteur ; Elizabeth MILNE, Auteur Article en page(s) : p.2844-2850 Langues : Anglais (eng) Mots-clés : Autistic traits  Orientation discrimination  Visual perception Index. décimale : PER Périodiques Résumé : Enhanced low-level perception, although present in individuals with autism, is not seen in individuals with high, but non-clinical, levels of autistic traits (Brock et al.in Percept Lond 40(6):739. doi:10.1068/p6953, 2011). This is surprising, as many of the higher-level visual differences found in autism have been shown to correlate with autistic traits in non-clinical samples. Here we measure vertical–oblique and, more difficult, oblique–oblique orientation discrimination thresholds in a non-clinical sample. As predicted, oblique–oblique thresholds provided a more sensitive test of orientation discrimination, and were negatively related to autistic traits (N = 94, r = −.356, p .0001). We conclude that individual differences in orientation discrimination and autistic traits are related, and suggest that both of these factors could be mediated by increased levels of the inhibitory neurotransmitter GABA. En ligne : http://dx.doi.org/10.1007/s10803-014-2147-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241 [article] Oblique Orientation Discrimination Thresholds Are Superior in Those with a High Level of Autistic Traits [texte imprimé] / Abigail DICKINSON, Auteur ; Myles JONES, Auteur ; Elizabeth MILNE, Auteur . - p.2844-2850. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 44-11 (November 2014) . - p.2844-2850 Mots-clés : Autistic traits  Orientation discrimination  Visual perception Index. décimale : PER Périodiques Résumé : Enhanced low-level perception, although present in individuals with autism, is not seen in individuals with high, but non-clinical, levels of autistic traits (Brock et al.in Percept Lond 40(6):739. doi:10.1068/p6953, 2011). This is surprising, as many of the higher-level visual differences found in autism have been shown to correlate with autistic traits in non-clinical samples. Here we measure vertical–oblique and, more difficult, oblique–oblique orientation discrimination thresholds in a non-clinical sample. As predicted, oblique–oblique thresholds provided a more sensitive test of orientation discrimination, and were negatively related to autistic traits (N = 94, r = −.356, p .0001). We conclude that individual differences in orientation discrimination and autistic traits are related, and suggest that both of these factors could be mediated by increased levels of the inhibitory neurotransmitter GABA. En ligne : http://dx.doi.org/10.1007/s10803-014-2147-1 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=241

Quantitative Gait Analysis in Duplication 15q Syndrome and Nonsyndromic ASD / Rujuta B. WILSON in Autism Research, 13-7 (July 2020)  

Public ISBD [article]  inAutism Research > 13-7 (July 2020) . - p.1102-1110 Titre : Quantitative Gait Analysis in Duplication 15q Syndrome and Nonsyndromic ASD Type de document : texte imprimé Auteurs : Rujuta B. WILSON, Auteur ; David ELASHOFF, Auteur ; Arnaud GOUELLE, Auteur ; Beth A. SMITH, Auteur ; Andrew M. WILSON, Auteur ; Abigail DICKINSON, Auteur ; Tabitha SAFARI, Auteur ; Carly HYDE, Auteur ; Shafali S. JESTE, Auteur Article en page(s) : p.1102-1110 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  duplication 15q syndrome  gait function  genetic syndrome  motor impairments  quantitative gait analysis Index. décimale : PER Périodiques Résumé : Motor impairments occur frequently in genetic syndromes highly penetrant for autism spectrum disorder (syndromic ASD) and in individuals with ASD without a genetic diagnosis (nonsyndromic ASD). In particular, abnormalities in gait in ASD have been linked to language delay, ASD severity, and likelihood of having a genetic disorder. Quantitative measures of motor function can improve our ability to evaluate motor differences in individuals with syndromic and nonsyndromic ASD with varying levels of intellectual disability and adaptive skills. To evaluate this methodology, we chose to use quantitative gait analysis to study duplication 15q syndrome (dup15q syndrome), a genetic disorder highly penetrant for motor delays, intellectual disability, and ASD. We evaluated quantitative gait variables in individuals with dup15q syndrome (n = 39) and nonsyndromic ASD (n = 21) and compared these data to a reference typically developing cohort. We found a gait pattern of slow pace, poor postural control, and large gait variability in dup15q syndrome. Our findings improve characterization of motor function in dup15q syndrome and nonsyndromic ASD. Quantitative gait analysis can be used as a translational method and can improve our identification of clinical endpoints to be used in treatment trials for these syndromes. Autism Res 2020, 13: 1102-1110. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Motor impairments, particularly abnormalities in walking, occur frequently in genetic syndromes highly penetrant for autism spectrum disorder (syndromic ASD). Here, using quantitative gait analysis, we find that individuals with duplication 15q syndrome have an atypical gait pattern that differentiates them from typically developing and nonsyndromic ASD individuals. Our findings improve motor characterization in dup15q syndrome and nonsyndromic ASD. En ligne : http://dx.doi.org/10.1002/aur.2298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429 [article] Quantitative Gait Analysis in Duplication 15q Syndrome and Nonsyndromic ASD [texte imprimé] / Rujuta B. WILSON, Auteur ; David ELASHOFF, Auteur ; Arnaud GOUELLE, Auteur ; Beth A. SMITH, Auteur ; Andrew M. WILSON, Auteur ; Abigail DICKINSON, Auteur ; Tabitha SAFARI, Auteur ; Carly HYDE, Auteur ; Shafali S. JESTE, Auteur . - p.1102-1110. Langues : Anglais (eng) in Autism Research > 13-7 (July 2020) . - p.1102-1110 Mots-clés : autism spectrum disorder  duplication 15q syndrome  gait function  genetic syndrome  motor impairments  quantitative gait analysis Index. décimale : PER Périodiques Résumé : Motor impairments occur frequently in genetic syndromes highly penetrant for autism spectrum disorder (syndromic ASD) and in individuals with ASD without a genetic diagnosis (nonsyndromic ASD). In particular, abnormalities in gait in ASD have been linked to language delay, ASD severity, and likelihood of having a genetic disorder. Quantitative measures of motor function can improve our ability to evaluate motor differences in individuals with syndromic and nonsyndromic ASD with varying levels of intellectual disability and adaptive skills. To evaluate this methodology, we chose to use quantitative gait analysis to study duplication 15q syndrome (dup15q syndrome), a genetic disorder highly penetrant for motor delays, intellectual disability, and ASD. We evaluated quantitative gait variables in individuals with dup15q syndrome (n = 39) and nonsyndromic ASD (n = 21) and compared these data to a reference typically developing cohort. We found a gait pattern of slow pace, poor postural control, and large gait variability in dup15q syndrome. Our findings improve characterization of motor function in dup15q syndrome and nonsyndromic ASD. Quantitative gait analysis can be used as a translational method and can improve our identification of clinical endpoints to be used in treatment trials for these syndromes. Autism Res 2020, 13: 1102-1110. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Motor impairments, particularly abnormalities in walking, occur frequently in genetic syndromes highly penetrant for autism spectrum disorder (syndromic ASD). Here, using quantitative gait analysis, we find that individuals with duplication 15q syndrome have an atypical gait pattern that differentiates them from typically developing and nonsyndromic ASD individuals. Our findings improve motor characterization in dup15q syndrome and nonsyndromic ASD. En ligne : http://dx.doi.org/10.1002/aur.2298 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429

---

1 (1 - 4 / 4) Par page : 25 50 100 200