Association between spectral electroencephalography power and autism risk and diagnosis in early development / Scott HUBERTY in Autism Research, 14-7 (July 2021)  

Public ISBD [article]  inAutism Research > 14-7 (July 2021) . - p.1390-1403 Titre : Association between spectral electroencephalography power and autism risk and diagnosis in early development Type de document : texte imprimé Auteurs : Scott HUBERTY, Auteur ; Virginia CARTER LENO, Auteur ; Stefon J.R. VAN NOORDT, Auteur ; Rachael BEDFORD, Auteur ; Andrew PICKLES, Auteur ; James A. DESJARDINS, Auteur ; Sara J. WEBB, Auteur ; Mayada ELSABBAGH, Auteur Article en page(s) : p.1390-1403 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child, Preschool  Electroencephalography  Humans  Infant  Siblings  Eeg  autism spectrum disorders  infants  siblings Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity in multiple electroencephalography (EEG) oscillatory measures. However, infant-sibling studies are often constrained by small sample sizes. We used the International Infant EEG Data Integration Platform, a multi-site dataset with 432 participants, including 222 at high-risk for ASD, from whom repeated measurements of EEG were collected between the ages of 3-36 months. We applied a latent growth curve model to test whether familial risk status predicts developmental trajectories of spectral power across the first 3 years of life, and whether these trajectories predict ASD outcome. Change in spectral EEG power in all frequency bands occurred during the first 3 years of life. Familial risk, but not a later diagnosis of ASD, was associated with reduced power at 3 months, and a steeper developmental change between 3 and 36 months in nearly all absolute power bands. ASD outcome was not associated with absolute power intercept or slope. No associations were found between risk or outcome and relative power. This study applied an analytic approach not used in previous prospective biomarker studies of ASD, which was modeled to reflect the temporal relationship between genetic susceptibility, brain development, and ASD diagnosis. Trajectories of spectral power appear to be predicted by familial risk; however, spectral power does not predict diagnostic outcome above and beyond familial risk status. Discrepancies between current results and previous studies are discussed. LAY SUMMARY: Infants with an older sibling who is diagnosed with ASD are at increased risk of developing ASD themselves. This article tested whether EEG spectral power in the first year of life can predict whether these infants did or did not develop ASD. En ligne : http://dx.doi.org/10.1002/aur.2518 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Association between spectral electroencephalography power and autism risk and diagnosis in early development [texte imprimé] / Scott HUBERTY, Auteur ; Virginia CARTER LENO, Auteur ; Stefon J.R. VAN NOORDT, Auteur ; Rachael BEDFORD, Auteur ; Andrew PICKLES, Auteur ; James A. DESJARDINS, Auteur ; Sara J. WEBB, Auteur ; Mayada ELSABBAGH, Auteur . - p.1390-1403. Langues : Anglais (eng) in Autism Research > 14-7 (July 2021) . - p.1390-1403 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child, Preschool  Electroencephalography  Humans  Infant  Siblings  Eeg  autism spectrum disorders  infants  siblings Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) has its origins in the atypical development of brain networks. Infants who are at high familial risk for, and later diagnosed with ASD, show atypical activity in multiple electroencephalography (EEG) oscillatory measures. However, infant-sibling studies are often constrained by small sample sizes. We used the International Infant EEG Data Integration Platform, a multi-site dataset with 432 participants, including 222 at high-risk for ASD, from whom repeated measurements of EEG were collected between the ages of 3-36 months. We applied a latent growth curve model to test whether familial risk status predicts developmental trajectories of spectral power across the first 3 years of life, and whether these trajectories predict ASD outcome. Change in spectral EEG power in all frequency bands occurred during the first 3 years of life. Familial risk, but not a later diagnosis of ASD, was associated with reduced power at 3 months, and a steeper developmental change between 3 and 36 months in nearly all absolute power bands. ASD outcome was not associated with absolute power intercept or slope. No associations were found between risk or outcome and relative power. This study applied an analytic approach not used in previous prospective biomarker studies of ASD, which was modeled to reflect the temporal relationship between genetic susceptibility, brain development, and ASD diagnosis. Trajectories of spectral power appear to be predicted by familial risk; however, spectral power does not predict diagnostic outcome above and beyond familial risk status. Discrepancies between current results and previous studies are discussed. LAY SUMMARY: Infants with an older sibling who is diagnosed with ASD are at increased risk of developing ASD themselves. This article tested whether EEG spectral power in the first year of life can predict whether these infants did or did not develop ASD. En ligne : http://dx.doi.org/10.1002/aur.2518 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

EEG functional connectivity in infants at elevated familial likelihood for autism spectrum disorder / Scott HUBERTY ; Stefon VAN NOORDT ; James A. DESJARDINS ; Nicky WRIGHT ; Julie SCORAH ; Sara Jane WEBB ; Mayada ELSABBAGH in Molecular Autism, 14 (2023)  

Public ISBD [article]  inMolecular Autism > 14 (2023) . - 37 p. Titre : EEG functional connectivity in infants at elevated familial likelihood for autism spectrum disorder Type de document : texte imprimé Auteurs : Scott HUBERTY, Auteur ; Stefon VAN NOORDT, Auteur ; James A. DESJARDINS, Auteur ; Nicky WRIGHT, Auteur ; Julie SCORAH, Auteur ; Sara Jane WEBB, Auteur ; Mayada ELSABBAGH, Auteur Article en page(s) : 37 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND: Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy. METHODS: We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N=92) or elevated likelihood for ASD (N=90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between cortical sources of EEG during video watching using the corrected imaginary part of phase-locking values. RESULTS: Our main analysis found no significant association between functional connectivity and ASD, showing only significant effects for age, sex, age-sex interaction, and site. Given these null results, we performed an exploratory analysis and observed, at 12 months, a negative correlation between functional connectivity and ADOS calibrated severity scores for restrictive and repetitive behaviors (RRB). LIMITATIONS: The small sample of ASD participants inherent to sibling studies limits diagnostic group comparisons. Also, results from our secondary exploratory analysis should be considered only as potential relationships to further explore, given their increased vulnerability to false positives. CONCLUSIONS: These results are inconclusive concerning an association between EEG functional connectivity and ASD in infancy. Exploratory analyses provided preliminary support for a relationship between RRB and functional connectivity specifically, but these preliminary observations need corroboration on larger samples. En ligne : http://dx.doi.org/10.1186/s13229-023-00570-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513 [article] EEG functional connectivity in infants at elevated familial likelihood for autism spectrum disorder [texte imprimé] / Scott HUBERTY, Auteur ; Stefon VAN NOORDT, Auteur ; James A. DESJARDINS, Auteur ; Nicky WRIGHT, Auteur ; Julie SCORAH, Auteur ; Sara Jane WEBB, Auteur ; Mayada ELSABBAGH, Auteur . - 37 p. Langues : Anglais (eng) in Molecular Autism > 14 (2023) . - 37 p. Index. décimale : PER Périodiques Résumé : BACKGROUND: Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, we know relatively little about the development of these differences in infancy. METHODS: We used a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6 and 12 months of age in infants at typical (N=92) or elevated likelihood for ASD (N=90), determined by the presence of an older sibling with ASD. We computed the functional connectivity between cortical sources of EEG during video watching using the corrected imaginary part of phase-locking values. RESULTS: Our main analysis found no significant association between functional connectivity and ASD, showing only significant effects for age, sex, age-sex interaction, and site. Given these null results, we performed an exploratory analysis and observed, at 12 months, a negative correlation between functional connectivity and ADOS calibrated severity scores for restrictive and repetitive behaviors (RRB). LIMITATIONS: The small sample of ASD participants inherent to sibling studies limits diagnostic group comparisons. Also, results from our secondary exploratory analysis should be considered only as potential relationships to further explore, given their increased vulnerability to false positives. CONCLUSIONS: These results are inconclusive concerning an association between EEG functional connectivity and ASD in infancy. Exploratory analyses provided preliminary support for a relationship between RRB and functional connectivity specifically, but these preliminary observations need corroboration on larger samples. En ligne : http://dx.doi.org/10.1186/s13229-023-00570-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=513

Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism / Stefon VAN NOORDT in Research in Autism Spectrum Disorders, 37 (May 2017)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 37 (May 2017) . - p.1-10 Titre : Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism Type de document : texte imprimé Auteurs : Stefon VAN NOORDT, Auteur ; Jia WU, Auteur ; Archana VENKATARAMAN, Auteur ; Michael J. LARSON, Auteur ; Mikle SOUTH, Auteur ; Michael J. CROWLEY, Auteur Article en page(s) : p.1-10 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders (ASD)  Reward processing  Theta oscillations  Event-related spectral analysis  Inter-trial phase coherence Index. décimale : PER Périodiques Résumé : Impairment in prediction and appreciation for choice outcomes could contribute to several core symptoms of ASD. We examined electroencephalography (EEG) oscillations in 27 youth and young adults diagnosed with autism spectrum disorder (ASD) and 22 IQ-matched neurotypical controls while they performed a chance-based reward prediction task. We re-analyzed our previously published ERP data (Larson et al., 2011) and examined theta band oscillations (4–8 Hz) at frontal midline sites, within a timing window that overlaps with the feedback-related negativity (FRN). We focused on event-related changes after presentation of feedback for reward (WIN) and punitive (LOSE) outcomes, both for spectral power and inter-trial phase coherence. Results In our reward prediction task, for both groups, medial frontal theta power and phase coherence were greater following LOSE compared to WIN feedback. However, compared to controls, inter-trial coherence of medial frontal theta was significantly lower overall (across both feedback types) for individuals with ASD. Our results indicate that while individuals with ASD are sensitive to the valence of reward feedback, comparable to their neurotypical peers, they have reduced synchronization of medial frontal theta activity during feedback processing. This finding is consistent with previous studies showing neural variability in ASD and suggest that the processes underlying decision-making and reinforcement learning may be atypical and less efficient in ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2017.01.011 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305 [article] Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism [texte imprimé] / Stefon VAN NOORDT, Auteur ; Jia WU, Auteur ; Archana VENKATARAMAN, Auteur ; Michael J. LARSON, Auteur ; Mikle SOUTH, Auteur ; Michael J. CROWLEY, Auteur . - p.1-10. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 37 (May 2017) . - p.1-10 Mots-clés : Autism spectrum disorders (ASD)  Reward processing  Theta oscillations  Event-related spectral analysis  Inter-trial phase coherence Index. décimale : PER Périodiques Résumé : Impairment in prediction and appreciation for choice outcomes could contribute to several core symptoms of ASD. We examined electroencephalography (EEG) oscillations in 27 youth and young adults diagnosed with autism spectrum disorder (ASD) and 22 IQ-matched neurotypical controls while they performed a chance-based reward prediction task. We re-analyzed our previously published ERP data (Larson et al., 2011) and examined theta band oscillations (4–8 Hz) at frontal midline sites, within a timing window that overlaps with the feedback-related negativity (FRN). We focused on event-related changes after presentation of feedback for reward (WIN) and punitive (LOSE) outcomes, both for spectral power and inter-trial phase coherence. Results In our reward prediction task, for both groups, medial frontal theta power and phase coherence were greater following LOSE compared to WIN feedback. However, compared to controls, inter-trial coherence of medial frontal theta was significantly lower overall (across both feedback types) for individuals with ASD. Our results indicate that while individuals with ASD are sensitive to the valence of reward feedback, comparable to their neurotypical peers, they have reduced synchronization of medial frontal theta activity during feedback processing. This finding is consistent with previous studies showing neural variability in ASD and suggest that the processes underlying decision-making and reinforcement learning may be atypical and less efficient in ASD. En ligne : http://dx.doi.org/10.1016/j.rasd.2017.01.011 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305

Inter-trial theta phase consistency during face processing in infants is associated with later emerging autism / Stefon VAN NOORDT in Autism Research, 15-5 (May 2022)  

Public ISBD [article]  inAutism Research > 15-5 (May 2022) . - p.834-846 Titre : Inter-trial theta phase consistency during face processing in infants is associated with later emerging autism Type de document : texte imprimé Auteurs : Stefon VAN NOORDT, Auteur ; James A. DESJARDINS, Auteur ; THE BASIS TEAM, Auteur ; Mayada ELSABBAGH, Auteur Article en page(s) : p.834-846 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child  Facial Recognition  Humans  Infant  Siblings  autism  faces  infants  risk  theta coherence Index. décimale : PER Périodiques Résumé : A growing body of research suggests that consistency in cortical activity may be a promising neurophysiological marker of autism spectrum disorder (ASD). In the current study we examined inter-trial coherence, a measure of phase consistency across trials, in the theta range (t-ITC: 3-6 Hz), as theta has been implicated in the processing of social and emotional stimuli in infants and adults. The sample included infants who had an older sibling with a confirmed ASD diagnosis and typically developing (TD) infants with no family history of ASD. The data were collected as part of the British Autism Study of Infant Siblings (BASIS) study. Infants between 6 and 10 months of age (M(age) =7.34, SD(age) =1.21) performed a visual face processing task that included faces and scrambled, "face noise", stimuli. Follow-up assessments in higher likelihood infants were completed at 24 and again at 36 months to determine diagnostic outcomes. Analysis focused on posterior t-ITC during early (0-200 ms) and late (200-500 ms) visual processing stages commonly investigated in infant studies. t-ITC over posterior scalp regions during late stage face processing was significantly higher in TD and higher likelihood infants without ASD (HRA-), indicating reduced consistency in theta-band responses in higher likelihood infants who eventually receive a diagnosis of ASD (HRA+). These findings indicate that the temporal dynamics of theta during face processing relate to ASD outcomes. Reduced consistency of oscillatory dynamics at basic levels of infant sensory processing could have downstream effects on learning and social communication. LAY SUMMARY: We examined the consistency in brain responses to faces in infants at lower or higher familial likelihood for autism. Our results show that the consistency of EEG responses was lower during face processing in higher likelihood infants who eventually received a diagnosis of autism. These findings highlight that reduced consistency in brain activity during face processing in the first year of life is related to emerging autism. En ligne : http://dx.doi.org/10.1002/aur.2701 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 [article] Inter-trial theta phase consistency during face processing in infants is associated with later emerging autism [texte imprimé] / Stefon VAN NOORDT, Auteur ; James A. DESJARDINS, Auteur ; THE BASIS TEAM, Auteur ; Mayada ELSABBAGH, Auteur . - p.834-846. Langues : Anglais (eng) in Autism Research > 15-5 (May 2022) . - p.834-846 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Brain  Child  Facial Recognition  Humans  Infant  Siblings  autism  faces  infants  risk  theta coherence Index. décimale : PER Périodiques Résumé : A growing body of research suggests that consistency in cortical activity may be a promising neurophysiological marker of autism spectrum disorder (ASD). In the current study we examined inter-trial coherence, a measure of phase consistency across trials, in the theta range (t-ITC: 3-6 Hz), as theta has been implicated in the processing of social and emotional stimuli in infants and adults. The sample included infants who had an older sibling with a confirmed ASD diagnosis and typically developing (TD) infants with no family history of ASD. The data were collected as part of the British Autism Study of Infant Siblings (BASIS) study. Infants between 6 and 10 months of age (M(age) =7.34, SD(age) =1.21) performed a visual face processing task that included faces and scrambled, "face noise", stimuli. Follow-up assessments in higher likelihood infants were completed at 24 and again at 36 months to determine diagnostic outcomes. Analysis focused on posterior t-ITC during early (0-200 ms) and late (200-500 ms) visual processing stages commonly investigated in infant studies. t-ITC over posterior scalp regions during late stage face processing was significantly higher in TD and higher likelihood infants without ASD (HRA-), indicating reduced consistency in theta-band responses in higher likelihood infants who eventually receive a diagnosis of ASD (HRA+). These findings indicate that the temporal dynamics of theta during face processing relate to ASD outcomes. Reduced consistency of oscillatory dynamics at basic levels of infant sensory processing could have downstream effects on learning and social communication. LAY SUMMARY: We examined the consistency in brain responses to faces in infants at lower or higher familial likelihood for autism. Our results show that the consistency of EEG responses was lower during face processing in higher likelihood infants who eventually received a diagnosis of autism. These findings highlight that reduced consistency in brain activity during face processing in the first year of life is related to emerging autism. En ligne : http://dx.doi.org/10.1002/aur.2701 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473

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