11 recherche sur le mot-clé 'Autistic Disorder/physiopathology'

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

Reduced lateralization of multiple functional brain networks in autistic males / Madeline PETERSON in Journal of Neurodevelopmental Disorders, 16 (2024)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Reduced lateralization of multiple functional brain networks in autistic males Type de document : texte imprimé Auteurs : Madeline PETERSON, Auteur ; Molly B.D. PRIGGE, Auteur ; Dorothea L. FLORIS, Auteur ; Erin D. BIGLER, Auteur ; Brandon A. ZIELINSKI, Auteur ; Jace B. KING, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur ; Jared A. NIELSEN, Auteur Langues : Anglais (eng) Mots-clés : Humans  Male  Functional Laterality/physiology  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Adult  Young Adult  Cross-Sectional Studies  Adolescent  Autism Spectrum Disorder/physiopathology  Nerve Net/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Child  Language  Asd  Asymmetry  Autism  Autism spectrum disorder  Brain networks  Lateralization  Network lateralization  Neurodevelopmental conditions  Neuroimaging  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. METHODS: In the present study, we estimated brain hemispheric lateralization in autism based on each participant's unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. RESULTS: We found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic males. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic males with language delay and neurotypical individuals. CONCLUSIONS: These findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Moreover, we observed an association between Language network lateralization and language delay in autistic males. En ligne : https://dx.doi.org/10.1186/s11689-024-09529-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575 [article] Reduced lateralization of multiple functional brain networks in autistic males [texte imprimé] / Madeline PETERSON, Auteur ; Molly B.D. PRIGGE, Auteur ; Dorothea L. FLORIS, Auteur ; Erin D. BIGLER, Auteur ; Brandon A. ZIELINSKI, Auteur ; Jace B. KING, Auteur ; Nicholas LANGE, Auteur ; Andrew L. ALEXANDER, Auteur ; Janet E. LAINHART, Auteur ; Jared A. NIELSEN, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Humans  Male  Functional Laterality/physiology  Magnetic Resonance Imaging  Brain/physiopathology/diagnostic imaging  Adult  Young Adult  Cross-Sectional Studies  Adolescent  Autism Spectrum Disorder/physiopathology  Nerve Net/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Child  Language  Asd  Asymmetry  Autism  Autism spectrum disorder  Brain networks  Lateralization  Network lateralization  Neurodevelopmental conditions  Neuroimaging  fMRI Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. METHODS: In the present study, we estimated brain hemispheric lateralization in autism based on each participant's unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. RESULTS: We found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic males. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic males with language delay and neurotypical individuals. CONCLUSIONS: These findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Moreover, we observed an association between Language network lateralization and language delay in autistic males. En ligne : https://dx.doi.org/10.1186/s11689-024-09529-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=575

The neural bases of language processing during social and non-social contexts: a fNIRS study of autistic and neurotypical preschool-aged children / Meredith PECUKONIS in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 40 Titre : The neural bases of language processing during social and non-social contexts: a fNIRS study of autistic and neurotypical preschool-aged children Type de document : texte imprimé Auteurs : Meredith PECUKONIS, Auteur ; J. GERSON, Auteur ; H. GUSTAFSON-ALM, Auteur ; M. WOOD, Auteur ; M. YÃœCEL, Auteur ; D.A. BOAS, Auteur ; Helen TAGER-FLUSBERG, Auteur ; Meredith PECUKONIS, Auteur ; J. GERSON, Auteur ; H. GUSTAFSON-ALM, Auteur ; M. WOOD, Auteur ; M. YÃœCEL, Auteur ; D.A. BOAS, Auteur ; Helen TAGER-FLUSBERG, Auteur Article en page(s) : 40 Langues : Anglais (eng) Mots-clés : Humans  Child, Preschool  Male  Female  Spectroscopy, Near-Infrared/methods  Child  Language  Brain/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Autism Spectrum Disorder/physiopathology  Social Behavior  Autism  Live  Preschool  Social context  fNIRS  were conducted according to the guidelines of the Declaration of Helsinki,  including informed consent and assent prior to study inclusion, and approved by  the Institutional Review Board at Boston University (protocol #5334). Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Little is known about how autistic children's brains process language during real-world "social contexts," despite the fact that challenges with language, communication, and social interaction are core features of Autism Spectrum Disorder (ASD). METHODS: We investigated the neural bases of language processing during social and non-social contexts in a sample of autistic and neurotypical (NT) preschool-aged children, 3-6 years old, living in the United States. Functional near-infrared spectroscopy was used to measure children's brain response to "live language" spoken by a live experimenter during an in-person social context (i.e., book reading) and "recorded language" played via an audio recording during a non-social context (i.e., screen time). We examined within-group and between-group differences in the strength and localization of brain response to live language and recorded language, as well as correlations between children's brain response to live language versus recorded language and their language skills, as measured by the Preschool Language Scales. RESULTS: In the NT group, brain response to live language was greater than brain response to recorded language in the right temporal parietal junction (TPJ). In the ASD group, the strength of brain response did not differ between conditions in any brain regions of interest after correction for multiple comparisons. Children who showed a greater difference in right TPJ brain response to live language versus recorded language had higher language skills; this significant correlation was driven by the ASD group. LIMITATIONS: Findings should be considered preliminary until they are replicated in a larger sample. CONCLUSIONS: Group level findings indicate that for NT children, but not autistic children, the right TPJ responds more strongly to live language presented during a social context compared to recorded language presented during a non-social context. However, individual differences in how the right TPJ responds to language during social versus non-social contexts may help to explain why language skills are so variable across children on the autism spectrum. En ligne : https://dx.doi.org/10.1186/s13229-025-00655-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 [article] The neural bases of language processing during social and non-social contexts: a fNIRS study of autistic and neurotypical preschool-aged children [texte imprimé] / Meredith PECUKONIS, Auteur ; J. GERSON, Auteur ; H. GUSTAFSON-ALM, Auteur ; M. WOOD, Auteur ; M. YÃœCEL, Auteur ; D.A. BOAS, Auteur ; Helen TAGER-FLUSBERG, Auteur ; Meredith PECUKONIS, Auteur ; J. GERSON, Auteur ; H. GUSTAFSON-ALM, Auteur ; M. WOOD, Auteur ; M. YÃœCEL, Auteur ; D.A. BOAS, Auteur ; Helen TAGER-FLUSBERG, Auteur . - 40. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 40 Mots-clés : Humans  Child, Preschool  Male  Female  Spectroscopy, Near-Infrared/methods  Child  Language  Brain/physiopathology/diagnostic imaging  Autistic Disorder/physiopathology  Autism Spectrum Disorder/physiopathology  Social Behavior  Autism  Live  Preschool  Social context  fNIRS  were conducted according to the guidelines of the Declaration of Helsinki,  including informed consent and assent prior to study inclusion, and approved by  the Institutional Review Board at Boston University (protocol #5334). Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Little is known about how autistic children's brains process language during real-world "social contexts," despite the fact that challenges with language, communication, and social interaction are core features of Autism Spectrum Disorder (ASD). METHODS: We investigated the neural bases of language processing during social and non-social contexts in a sample of autistic and neurotypical (NT) preschool-aged children, 3-6 years old, living in the United States. Functional near-infrared spectroscopy was used to measure children's brain response to "live language" spoken by a live experimenter during an in-person social context (i.e., book reading) and "recorded language" played via an audio recording during a non-social context (i.e., screen time). We examined within-group and between-group differences in the strength and localization of brain response to live language and recorded language, as well as correlations between children's brain response to live language versus recorded language and their language skills, as measured by the Preschool Language Scales. RESULTS: In the NT group, brain response to live language was greater than brain response to recorded language in the right temporal parietal junction (TPJ). In the ASD group, the strength of brain response did not differ between conditions in any brain regions of interest after correction for multiple comparisons. Children who showed a greater difference in right TPJ brain response to live language versus recorded language had higher language skills; this significant correlation was driven by the ASD group. LIMITATIONS: Findings should be considered preliminary until they are replicated in a larger sample. CONCLUSIONS: Group level findings indicate that for NT children, but not autistic children, the right TPJ responds more strongly to live language presented during a social context compared to recorded language presented during a non-social context. However, individual differences in how the right TPJ responds to language during social versus non-social contexts may help to explain why language skills are so variable across children on the autism spectrum. En ligne : https://dx.doi.org/10.1186/s13229-025-00655-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569

Locus coeruleus tonic upregulation increases selectivity to inconspicuous auditory information in autistic compared to non-autistic individuals: a combined pupillometry and electroencephalography study / Nico BAST in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 41 Titre : Locus coeruleus tonic upregulation increases selectivity to inconspicuous auditory information in autistic compared to non-autistic individuals: a combined pupillometry and electroencephalography study Type de document : texte imprimé Auteurs : Nico BAST, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Magdalena MATYJEK, Auteur ; Leonie POLZER, Auteur ; Christina LUCKHARDT, Auteur ; Anna Katharina MÃœLLER, Auteur ; Gráinne M. MCALONAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Sarah BAUMEISTER, Auteur ; Eva LOTH, Auteur ; Christine M. FREITAG, Auteur ; Nico BAST, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Magdalena MATYJEK, Auteur ; Leonie POLZER, Auteur ; Christina LUCKHARDT, Auteur ; Anna Katharina MÃœLLER, Auteur ; Gráinne M. MCALONAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Sarah BAUMEISTER, Auteur ; Eva LOTH, Auteur ; Christine M. FREITAG, Auteur Article en page(s) : 41 Langues : Anglais (eng) Mots-clés : Humans  Male  Electroencephalography/methods  Female  Autistic Disorder/physiopathology  Adult  Locus Coeruleus/physiopathology/metabolism  Young Adult  Pupil/physiology  Auditory Perception  Adolescent  Acoustic Stimulation  Up-Regulation  Case-Control Studies  Arousal  Auditory oddball paradigm  Autism spectrum condition  Mismatch negativity  Predictive coding  Pupillometry  (where appropriate) and their parent/legal guardian provided written informed  consent. Ethical approval for this study was obtained through ethics committees  at each site (King’s College London—London Queen Square Health Research Authority  Research Ethics Committee: 13/LO/1156  Autism Research Centre, University of  Cambridge—London Queen Square Health Research Authority Research Ethics  Committee: 13/LO/1156  Radboud University Medical Centre—Quality and Safety  Committee on Research Involving Human Subjects Arnhem-Nijmegen: 2013/455,  University Medical Centre Utrecht—- Quality and Safety Committee on Research  Involving Human Subjects Arnhem-Nijmegen: 2013/455  Central Insitute of Mental  Health—University Medical Mannheim, Medical Ethics Commission II: 2014-540N-MA  Universita Campus Bio-Medica De Roma—Medical Ethics Committee: 18/14 PAR ComET  CBM  Karolinska Intitute – Central Ethical Review Board: 32–2010). Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Sensory processing requires selectivity to salient sensory input. Many autistic individuals report different sensory processing, which has been associated with altered sensory selectivity. The locus-coeruleus norepinephrine (LC-NE) system modulates the neuronal gain of sensory input, which represents a neurophysiological mechanism of sensory selectivity. In autistic individuals, we hypothesized that LC-NE tonic upregulation reduces sensory selectivity and underlies different sensory processing. METHODS: Autistic (n = 139) and non-autistic (n = 98) individuals were assessed during a passive auditory oddball task with pupillometry and electroencephalography. For every trial, a baseline pupil size (BPS) assessed LC-NE tonic activity that coincides with current arousal, while a stimulus-evoked pupillary response (SEPR) assessed LC-NE phasic activity that estimated sensory selectivity. Electroencephalography assessed amplitudes of mismatch negativity (MMN-amp) that estimated pre-attentive change detection as a brain-activity readout of sensory selectivity. Measures were modeled between groups within the task by combining Frequentist and Bayesian approaches. RESULTS: Across groups, higher BPS was associated with more negative MMN-amp to standards and oddballs. A more negative MMN-amp to standards was associated with a higher SEPR to standards. Controlling for these associations, autistic versus non-autistic individuals showed a higher SEPR in response to standards. In addition, a positive association of BPS and SEPR to standards was specific to autistic individuals. With task progression, autistic versus non-autistic individuals showed a higher initial increase and subsequently steeper decrease of BPS. This was supported by Bayesian posterior distribution estimates. LIMITATIONS: A short trial duration required concatenating trials to epochs and applying a linear-time invariant filter to capture the slow pupil changes. Without an LC-NE manipulation, we cannot rule out that pupil changes are evoked by other cortical pathways than the LC-NE. CONCLUSIONS: Across groups, LC-NE tonic upregulation is emphasized as a general mechanism that un-specifically increases pre-attentive change detection to all sensory stimuli, which then increases sensory selectivity to frequent stimuli. In autistic individuals, different sensory processing is characterized by increased sensory selectivity to frequent stimuli. This is likely caused by an LC-NE tonic upregulation. It associates autistic sensory processing with increased arousal upregulation that increases sensory selectivity to inconspicuous auditory information. En ligne : https://dx.doi.org/10.1186/s13229-025-00678-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569 [article] Locus coeruleus tonic upregulation increases selectivity to inconspicuous auditory information in autistic compared to non-autistic individuals: a combined pupillometry and electroencephalography study [texte imprimé] / Nico BAST, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Magdalena MATYJEK, Auteur ; Leonie POLZER, Auteur ; Christina LUCKHARDT, Auteur ; Anna Katharina MÃœLLER, Auteur ; Gráinne M. MCALONAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Sarah BAUMEISTER, Auteur ; Eva LOTH, Auteur ; Christine M. FREITAG, Auteur ; Nico BAST, Auteur ; Jumana AHMAD, Auteur ; Luke MASON, Auteur ; Emily J.H. JONES, Auteur ; Magdalena MATYJEK, Auteur ; Leonie POLZER, Auteur ; Christina LUCKHARDT, Auteur ; Anna Katharina MÃœLLER, Auteur ; Gráinne M. MCALONAN, Auteur ; Tobias BANASCHEWSKI, Auteur ; Sarah BAUMEISTER, Auteur ; Eva LOTH, Auteur ; Christine M. FREITAG, Auteur . - 41. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 41 Mots-clés : Humans  Male  Electroencephalography/methods  Female  Autistic Disorder/physiopathology  Adult  Locus Coeruleus/physiopathology/metabolism  Young Adult  Pupil/physiology  Auditory Perception  Adolescent  Acoustic Stimulation  Up-Regulation  Case-Control Studies  Arousal  Auditory oddball paradigm  Autism spectrum condition  Mismatch negativity  Predictive coding  Pupillometry  (where appropriate) and their parent/legal guardian provided written informed  consent. Ethical approval for this study was obtained through ethics committees  at each site (King’s College London—London Queen Square Health Research Authority  Research Ethics Committee: 13/LO/1156  Autism Research Centre, University of  Cambridge—London Queen Square Health Research Authority Research Ethics  Committee: 13/LO/1156  Radboud University Medical Centre—Quality and Safety  Committee on Research Involving Human Subjects Arnhem-Nijmegen: 2013/455,  University Medical Centre Utrecht—- Quality and Safety Committee on Research  Involving Human Subjects Arnhem-Nijmegen: 2013/455  Central Insitute of Mental  Health—University Medical Mannheim, Medical Ethics Commission II: 2014-540N-MA  Universita Campus Bio-Medica De Roma—Medical Ethics Committee: 18/14 PAR ComET  CBM  Karolinska Intitute – Central Ethical Review Board: 32–2010). Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Sensory processing requires selectivity to salient sensory input. Many autistic individuals report different sensory processing, which has been associated with altered sensory selectivity. The locus-coeruleus norepinephrine (LC-NE) system modulates the neuronal gain of sensory input, which represents a neurophysiological mechanism of sensory selectivity. In autistic individuals, we hypothesized that LC-NE tonic upregulation reduces sensory selectivity and underlies different sensory processing. METHODS: Autistic (n = 139) and non-autistic (n = 98) individuals were assessed during a passive auditory oddball task with pupillometry and electroencephalography. For every trial, a baseline pupil size (BPS) assessed LC-NE tonic activity that coincides with current arousal, while a stimulus-evoked pupillary response (SEPR) assessed LC-NE phasic activity that estimated sensory selectivity. Electroencephalography assessed amplitudes of mismatch negativity (MMN-amp) that estimated pre-attentive change detection as a brain-activity readout of sensory selectivity. Measures were modeled between groups within the task by combining Frequentist and Bayesian approaches. RESULTS: Across groups, higher BPS was associated with more negative MMN-amp to standards and oddballs. A more negative MMN-amp to standards was associated with a higher SEPR to standards. Controlling for these associations, autistic versus non-autistic individuals showed a higher SEPR in response to standards. In addition, a positive association of BPS and SEPR to standards was specific to autistic individuals. With task progression, autistic versus non-autistic individuals showed a higher initial increase and subsequently steeper decrease of BPS. This was supported by Bayesian posterior distribution estimates. LIMITATIONS: A short trial duration required concatenating trials to epochs and applying a linear-time invariant filter to capture the slow pupil changes. Without an LC-NE manipulation, we cannot rule out that pupil changes are evoked by other cortical pathways than the LC-NE. CONCLUSIONS: Across groups, LC-NE tonic upregulation is emphasized as a general mechanism that un-specifically increases pre-attentive change detection to all sensory stimuli, which then increases sensory selectivity to frequent stimuli. In autistic individuals, different sensory processing is characterized by increased sensory selectivity to frequent stimuli. This is likely caused by an LC-NE tonic upregulation. It associates autistic sensory processing with increased arousal upregulation that increases sensory selectivity to inconspicuous auditory information. En ligne : https://dx.doi.org/10.1186/s13229-025-00678-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=569

Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism / Megan BANCHIK ; Tawny TSANG ; Nana J. OKADA ; Rebecca ALTSHULER ; Nicole M. MCDONALD ; Susan Y. BOOKHEIMER ; Shafali S. JESTE ; Shulamite A. GREEN ; Mirella DAPRETTO in Molecular Autism, 16 (2025)  

Public ISBD [article]  inMolecular Autism > 16 (2025) . - 6 Titre : Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism Type de document : texte imprimé Auteurs : Megan BANCHIK, Auteur ; Tawny TSANG, Auteur ; Nana J. OKADA, Auteur ; Rebecca ALTSHULER, Auteur ; Nicole M. MCDONALD, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Shafali S. JESTE, Auteur ; Shulamite A. GREEN, Auteur ; Mirella DAPRETTO, Auteur Article en page(s) : 6 Langues : Anglais (eng) Mots-clés : Humans  Infant  Male  Magnetic Resonance Imaging  Female  Language  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology  Brain Mapping  Speech  Autism  Native language  fMRI  obtained from all participants' caregivers and/or legal guardians. All study  protocols were approved by the UCLA Institutional Review Board. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Language difficulties are common in autism spectrum disorder (ASD), a neurodevelopmental condition characterized by impairments in social communication as well as restricted and repetitive behaviors. Amongst infant siblings of children with an ASD diagnosis - who are at higher likelihood for developing ASD - a high proportion also show difficulties and delays in language acquisition. METHODS: In this study, we used functional magnetic resonance imaging (fMRI) to examine differences in language processing in 9-month-old infants at high (HL) and typical (TL) familial likelihood for ASD. Infants were presented with native (English) and novel (Japanese) speech while sleeping naturally in the scanner. Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. RESULTS: HL infants showed attenuated responses to speech in general, particularly in left temporal language areas, as well as a lack of neural discrimination between the native and novel languages compared to the TL group. Importantly, we also demonstrate that HL infants show distinctly atypical patterns of lateralization for speech processing, particularly during native speech processing, suggesting a failure to left-lateralize. LIMITATIONS: The sample size, particularly for the TL group, is relatively modest because of the challenges inherent to collecting auditory stimulus-evoked data from sleeping participants, as well as retention and follow-up difficulties posed by the COVID-19 pandemic. The groups were not matched on some demographic variables, but the present findings held even after accounting for these differences. CONCLUSIONS: To our knowledge, this is the first fMRI study to directly measure autism-associated atypicalities in native language uptake during infancy. These findings provide a better understanding of the neurodevelopmental underpinnings of language delay in ASD, which is a prerequisite step for developing earlier and more effective interventions for autistic children and HL siblings who experience language impairments. En ligne : https://dx.doi.org/10.1186/s13229-025-00640-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555 [article] Atypical early neural responses to native and non-native language in infants at high likelihood for developing autism [texte imprimé] / Megan BANCHIK, Auteur ; Tawny TSANG, Auteur ; Nana J. OKADA, Auteur ; Rebecca ALTSHULER, Auteur ; Nicole M. MCDONALD, Auteur ; Susan Y. BOOKHEIMER, Auteur ; Shafali S. JESTE, Auteur ; Shulamite A. GREEN, Auteur ; Mirella DAPRETTO, Auteur . - 6. Langues : Anglais (eng) in Molecular Autism > 16 (2025) . - 6 Mots-clés : Humans  Infant  Male  Magnetic Resonance Imaging  Female  Language  Autism Spectrum Disorder/physiopathology/diagnostic imaging  Brain/diagnostic imaging/physiopathology  Autistic Disorder/physiopathology  Brain Mapping  Speech  Autism  Native language  fMRI  obtained from all participants' caregivers and/or legal guardians. All study  protocols were approved by the UCLA Institutional Review Board. Consent for  publication: Not applicable. Competing interests: The authors declare no  competing interests. Index. décimale : PER Périodiques Résumé : BACKGROUND: Language difficulties are common in autism spectrum disorder (ASD), a neurodevelopmental condition characterized by impairments in social communication as well as restricted and repetitive behaviors. Amongst infant siblings of children with an ASD diagnosis - who are at higher likelihood for developing ASD - a high proportion also show difficulties and delays in language acquisition. METHODS: In this study, we used functional magnetic resonance imaging (fMRI) to examine differences in language processing in 9-month-old infants at high (HL) and typical (TL) familial likelihood for ASD. Infants were presented with native (English) and novel (Japanese) speech while sleeping naturally in the scanner. Whole-brain and a priori region-of-interest analyses were conducted to evaluate neural differences in language processing based on likelihood group and language condition. RESULTS: HL infants showed attenuated responses to speech in general, particularly in left temporal language areas, as well as a lack of neural discrimination between the native and novel languages compared to the TL group. Importantly, we also demonstrate that HL infants show distinctly atypical patterns of lateralization for speech processing, particularly during native speech processing, suggesting a failure to left-lateralize. LIMITATIONS: The sample size, particularly for the TL group, is relatively modest because of the challenges inherent to collecting auditory stimulus-evoked data from sleeping participants, as well as retention and follow-up difficulties posed by the COVID-19 pandemic. The groups were not matched on some demographic variables, but the present findings held even after accounting for these differences. CONCLUSIONS: To our knowledge, this is the first fMRI study to directly measure autism-associated atypicalities in native language uptake during infancy. These findings provide a better understanding of the neurodevelopmental underpinnings of language delay in ASD, which is a prerequisite step for developing earlier and more effective interventions for autistic children and HL siblings who experience language impairments. En ligne : https://dx.doi.org/10.1186/s13229-025-00640-w Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=555

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