Publications by authors named "Sara J Webb"

Introduction: , a protein kinase located on human chromosome 21, plays a role in postembryonic neuronal development and degeneration. Alterations to have been consistently associated with cognitive functioning and neurodevelopmental disorders (e.g.

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Individuals with autism spectrum disorder (ASD) tend to experience greater difficulties with social communication and sensory information processing. Of particular interest in ASD biomarker research is the study of visual attention, effectively quantified in eye tracking (ET) experiments. Eye tracking offers a powerful, safe, and feasible platform for gaining insights into attentional processes by measuring moment-by-moment gaze patterns in response to stimuli.

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  • * A scoping review was conducted on literature from September 2018 to January 2024, comparing findings with earlier reviews and emphasizing broader themes beyond just gender dysphoria.
  • * The review analyzed 99 new empirical studies, noting improvements in study quality while also highlighting the need for better methodologies and more community-involved research priorities.
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  • Social attention helps people understand social cues and is crucial for developing complex social cognition; both automatic and purposeful attention play essential roles in this process.
  • The study analyzed how different approaches to attention affected brain activity during a face inversion task, revealing no significant differences for the P1 and N170 brain markers, but differing results for P3 based on social decision-making.
  • Results showed that adults and adolescents processed face perception differently, suggesting that developmental changes continue into adolescence and that task decisions can impact neural responses to faces by age.
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  • The chapter explores the benefits and advancements in using EEG and ERP biomarkers for autism spectrum disorder (ASD), focusing on the importance of these tools in precision treatment.
  • It reviews sensory processing and attention biomarkers, alongside translational research connecting genetic factors in autism through studies on both humans and animal models.
  • The text also addresses the challenges in quantifying EEG biomarkers, the need for scientific rigor, and suggests potential for using multidimensional biomarkers in future research.
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  • * A study comparing autistic adults to nonautistic adults found that autistic individuals had higher alpha amplitude and more alpha suppression at stimulus onset, which correlated with their sensory behaviors.
  • * There was a significant relationship between alpha power, total cortical volume, and hippocampal volume in people with ASD, suggesting that brain structure might influence these altered alpha patterns and sensory symptoms.
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In some cases, a clinician's perceptions of a child's autism-related behaviors are not the same as the child's caregiver's perceptions. Identifying how these discrepancies relate to the characteristics of the child is critical for ensuring that diagnosis procedures are unbiased and suitable for all children. This study examined whether discrepancies between clinician and caregiver reports of autism features related to the child's sex at birth.

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Background: Reduced social attention-looking at faces-is one of the most common manifestations of social difficulty in autism that is central to social development. Although reduced social attention is well characterized in autism, qualitative differences in how social attention unfolds across time remains unknown.

Methods: We used a computational modeling (i.

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Brain differences linked to autism spectrum disorder (ASD) can manifest before observable symptoms. Studying these early neural precursors in larger and more diverse cohorts is crucial for advancing our understanding of developmental pathways and potentially facilitating earlier identification. EEG is an ideal tool for investigating early neural differences in ASD, given its scalability and high tolerability in infant populations.

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Cortical structure and function are closely linked, shaping the neural basis of human behavior. This study explores how cortical surface area (SA), a structural feature, influences computational properties in human visual perception. Using a combination of psychophysical, neuroimaging, and computational modeling approaches, we find that variations in SA across the parietal and frontal cortices are linked to distinct behavioral patterns in a motion perception task.

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This preliminary study sought to assess biomarkers of attention using electroencephalography (EEG) and eye tracking in two ultra-rare monogenic populations associated with autism spectrum disorder (ASD). Relative to idiopathic ASD (n = 12) and neurotypical comparison (n = 49) groups, divergent attention profiles were observed for the monogenic groups, such that individuals with DYRK1A (n = 9) exhibited diminished auditory attention condition differences during an oddball EEG paradigm whereas individuals with SCN2A (n = 5) exhibited diminished visual attention condition differences noted by eye gaze tracking when viewing social interactions. Findings provide initial support for alignment of auditory and visual attention markers in idiopathic ASD and neurotypical development but not monogenic groups.

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Importance: With personalized touch-screen tablets, young children can choose content and engage in play-like activities. However, tablets may also reduce shared engagement as the action of viewing or touching the screen is often not visible to nearby adults. This may impact communicative gazing and pointing, which is critical to the formation of shared awareness and in turn supports language development.

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One of the candidate genes related to language variability in individuals with Autism Spectrum Disorder (ASD) is the contactin-associated protein-like 2 gene (CNTNAP2), a member of the Neurexin family. However, due to the different assessment tools used, it is unknown whether the polymorphisms of the CNTNAP2 gene are linked to structural language skills or more general communication abilities. A total of 302 youth aged 7 to 18 years participated in the present study: 131 verbal youth with ASD (62 female), 130 typically developing (TD) youth (64 female), and 41 unaffected siblings (US) of youth with ASD (25 female).

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Objective: Electroencephalography (EEG) measures of visual evoked potentials (VEPs) provide a targeted approach for investigating neural circuit dynamics. This study separately analyses phase-locked (evoked) and non-phase-locked (induced) gamma responses within the VEP to comprehensively investigate circuit differences in autism.

Methods: We analyzed VEP data from 237 autistic and 114 typically developing (TD) children aged 6-11, collected through the Autism Biomarkers Consortium for Clinical Trials (ABC-CT).

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Autism spectrum disorder (autism) is a prevalent neurodevelopmental condition characterized by early emerging impairments in social behavior and communication. EEG represents a powerful and non-invasive tool for examining functional brain differences in autism. Recent EEG evidence suggests that greater intra-individual trial-to-trial variability across EEG responses in stimulus-related tasks may characterize brain differences in autism.

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Previous research has shown that girls/women are diagnosed later than boys/men with autism. Individuals who are diagnosed later in life, especially girls/women, have greater anxious and depressive symptoms. Previous research has been limited due to narrow inclusionary criteria for enrollment in studies.

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  • Autistic youth exhibit significantly higher gamma power during speech processing compared to typically developing peers, indicating an altered neural response associated with their language difficulties.
  • Elevated gamma power is linked to lower language skills across all groups, suggesting a potential neural mechanism affecting language function.
  • Unaffected siblings of autistic youth demonstrate a middle-ground profile in language skills and gamma power, implying that language and neural characteristics may be inherited within families.
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The neuronal differences contributing to the etiology of autism spectrum disorder (ASD) are still not well defined. Previous studies have suggested that myelin and axons are disrupted during development in ASD. By combining structural and diffusion MRI techniques, myelin and axons can be assessed using extracellular water, aggregate g-ratio, and a new approach to calculating axonal conduction velocity termed aggregate conduction velocity, which is related to the capacity of the axon to carry information.

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Purpose: Visual face recognition-the ability to encode, discriminate, and recognize the faces of others-is fundamentally supported by eye movements and is a common source of difficulty for autistic individuals. We aimed to evaluate how visual processing strategies (i.e.

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Differences in social motivation underlie the core social-communication features of autism according to several theoretical models, with decreased social motivation among autistic youth relative to neurotypical peers. However, research on social motivation often relies on caregiver reports and rarely includes firsthand perspectives of children and adolescents with autism. Furthermore, social motivation is typically assumed to be constant across social settings when it may actually vary by social context.

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  • Autistic individuals show distinct patterns in resting-state EEG compared to non-autistic peers, influenced by factors like age and sex.
  • Pubertal maturation impacts EEG power, with those in advanced puberty showing decreased activity across all frequency bands, potentially correlating with lower social skills and altered behaviors.
  • The study highlights the importance of considering puberty's role in brain changes and cognitive development when researching autistic traits and EEG variations.
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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.

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In youth broadly, EEG frontal alpha asymmetry (FAA) associates with affective style and vulnerability to psychopathology, with relatively stronger right activity predicting risk for internalizing and externalizing behaviors. In autistic youth, FAA has been related to ASD diagnostic features and to internalizing symptoms. Among our large, rigorously characterized, sex-balanced participant group, we attempted to replicate findings suggestive of altered FAA in youth with an ASD diagnosis, examining group differences and impact of sex assigned at birth.

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The Selective Social Attention (SSA) task is a brief eye-tracking task involving experimental conditions varying along socio-communicative axes. Traditionally the SSA has been used to probe socially-specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings to preschool and school-age children.

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Individuals diagnosed with autism often display alterations in visual spatial attention toward visual stimuli, but the underlying cause of these differences remains unclear. Recent evidence has demonstrated that covert spatial attention, rather than remaining constant at a cued location, samples stimuli rhythmically at a frequency of 4-8 Hz (theta). Here we tested whether rhythmic sampling of attention is altered in autism.

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