Patterns of altered neural synchrony in the default mode network in autism spectrum disorder revealed with magnetoencephalography (MEG): Relationship to clinical symptomatology

Lajiness-O’Neill, Renée; Brennan, Jonathan; Moran, John; Richard, Annette; Flores, Ana Mercedes; Swick, Casey; Goodcase, Ryan; Andersen, Tiffany; McFarlane, Kaitlyn; Rusiniak, Kenneth W.; Kovelman, Ioulia; Wagley, Neelima; Ugolini, Margaret; Albright, Jeremy J.; Bowyer, Susan M.

doi:10.1002/aur.1908

Cited by 24 publications

(16 citation statements)

References 88 publications

(140 reference statements)

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“…Thus, we speculate that the decreased local spontaneous neural activity of the left AG may be related to the symptom of episodic prediction and episodic memory as well as the inversion of words and poor intelligibility in language expression of ASD children. In addition, the abnormal AG was also found in previous studies of ASD magnetoencephalography (Lajiness-O'Neill et al, 2018), and the impairment of episodic memory in ASD patients has been repeatedly replicated (Hutchins and Prelock, 2018), which further demonstrates our view.…”

Section: Discussionsupporting

confidence: 88%

Alterations of Regional Homogeneity in Preschool Boys With Autism Spectrum Disorders

Lan

et al. 2021

Front. Neurosci.

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ObjectivesThe study was aimed at investigating the alterations of local spontaneous brain activity in preschool boys with autism spectrum disorders (ASD).MethodsBased on regional homogeneity (ReHo), the acquired resting state functional magnetic resonance imaging (fMRI) data sets, which included 86 boys with ASD and 54 typically developing (TD) boys, were used to detect regional brain activity. Pearson correlation analysis was used to study the relationship between abnormal ReHo value and the Childhood Autism Rating Scale (CARS), Autism Behavior Checklist (ABC), developmental quotient, and age.ResultsIn the ASD group, we found increased ReHo in the right calcarine as well as decreased ReHo in the opercular part of the left inferior frontal gyrus, the left middle temporal gyrus, the left angular gyrus, and the right medial orbital frontal cortex (p < 0.05, false discovery rate correction). We did not find a correlation between the results of brain regions and the CARS, ABC, and age.ConclusionsOur study found spontaneous activity changes in multiple brain regions, especially the visual and language-related areas of ASD, that may help to further understand the clinical characteristics of boys with ASD.

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Section: Discussionsupporting

confidence: 88%

Alterations of Regional Homogeneity in Preschool Boys With Autism Spectrum Disorders

Lan

et al. 2021

Front. Neurosci.

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“…This view has been supported in human post-mortem studies documenting reductions in the number of PV+ interneurons (Hashemi et al, 2016), or in the ratio of PV+ interneurons to other subtypes (Zikopoulous and Barbas, 2013). Brain imaging studies also have implicated PV+ interneurons abnormalities in ASD through findings of reduced neural synchrony (Lajiness-O’Neill et al, 2018). The activity of inhibitory interneurons underlies high frequency beta (12–30 Hz) and gamma (30–80 Hz) oscillations (Whittington et al, 2000) that have been associated with automatic processing of stimulus features during sensory processing, but also higher order cognitive functions (Kaiser and Lutzenberger, 2003).…”

Section: Introductionmentioning

confidence: 99%

Developmental Effects on Auditory Neural Oscillatory Synchronization Abnormalities in Autism Spectrum Disorder

Stefano

Schmitt

White

et al. 2019

Front. Integr. Neurosci.

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Previous studies have found alterations in 40 Hz oscillatory activity in response to auditory stimuli in adults with Autism Spectrum Disorder (ASD). The current study sought to examine the specificity and developmental trajectory of these findings by driving the cortex to oscillate at a range of frequencies in both children and adults with and without ASD. Fifteen participants with ASD (3 female, aged 6–23 years) and 15 age-matched controls (4 female, aged 6–25 years) underwent dense-array EEG as they listened to a carrier tone amplitude-modulated by a sinusoid linearly increasing in frequency from 0–100 Hz over 2 s. EEG data were analyzed for inter-trial phase coherence (ITPC) and single-trial power (STP). Older participants with ASD displayed significantly decreased ability to phase-lock to the stimulus in the low gamma frequency range relative to their typically developing (TD) counterparts, while younger ASD and TD did not significantly differ from each other. An interaction between age and diagnosis suggested that TD and ASD also show different developmental trajectories for low gamma power; TD showed a significant decrease in low gamma power with age, while ASD did not. Regardless of age, increased low gamma STP was significantly correlated with increased clinical scores for repetitive behaviors in the ASD group, particularly insistence on sameness. This study contributes to a growing body of evidence supporting alterations in auditory processing in ASD. Older ASD participants showed more pronounced low gamma deficits than younger participants, suggesting an altered developmental trajectory for neural activity contributing to auditory processing deficits that may also be more broadly clinically relevant. Future studies are needed employing a longitudinal approach to confirm findings of this cross-sectional study.

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“…All children (age range = 8–12 years) were prescreened for eligibility through a phone interview with a parent or caregiver and were monolingual English speakers. The study was approved by all participating institutional review boards, as part of a larger project assessing language and communication in ASD using MEG ( Brennan et al, 2016b ; Lajiness‐O'Neill et al, 2018 ; Brennan et al, 2019 ). Parents and children provided informed consent and assent and received monetary compensation for their participation.…”

Section: Methodsmentioning

confidence: 99%

Predictive Processing during a Naturalistic Statistical Learning Task in ASD

Wagley

Lajiness-O’Neill

Hay³

et al. 2020

eNeuro

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Children’s sensitivity to regularities within the linguistic stream, such as the likelihood that syllables co-occur, is foundational to speech segmentation and language acquisition. Yet, little is known about the neurocognitive mechanisms underlying speech segmentation in typical development and in neurodevelopmental disorders that impact language acquisition such as autism spectrum disorder (ASD). Here, we investigate the neural signals of statistical learning in 15 human participants (children ages 8–12) with a clinical diagnosis of ASD and 14 age-matched and gender-matched typically developing peers. We tracked the evoked neural responses to syllable sequences in a naturalistic statistical learning corpus using magnetoencephalography (MEG) in the left primary auditory cortex, posterior superior temporal gyrus (pSTG), and inferior frontal gyrus (IFG), across three repetitions of the passage. In typically developing children, we observed a neural index of learning in all three regions of interest (ROIs), measured by the change in evoked response amplitude as a function of syllable surprisal across passage repetitions. As surprisal increased, the amplitude of the neural response increased; this sensitivity emerged after repeated exposure to the corpus. Children with ASD did not show this pattern of learning in all three regions. We discuss two possible hypotheses related to children’s sensitivity to bottom-up sensory deficits and difficulty with top-down incremental processing.

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Patterns of altered neural synchrony in the default mode network in autism spectrum disorder revealed with magnetoencephalography (MEG): Relationship to clinical symptomatology

Cited by 24 publications

References 88 publications

Alterations of Regional Homogeneity in Preschool Boys With Autism Spectrum Disorders

Alterations of Regional Homogeneity in Preschool Boys With Autism Spectrum Disorders

Developmental Effects on Auditory Neural Oscillatory Synchronization Abnormalities in Autism Spectrum Disorder

Predictive Processing during a Naturalistic Statistical Learning Task in ASD

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