Synchronization of EEG Rhythms in Baseline Conditions and during Counting in Children with Autism Spectrum Disorders

Lushchekina, E. A.; Khaerdinova, O. Yu.; Novototskii-Vlasov, V. Yu.; Lushchekin, V. S.; Стрелец, В. Б.

doi:10.1007/s11055-016-0246-5

Cited by 13 publications

(16 citation statements)

References 12 publications

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“…Given that some studies show that ASD patients and controls have similar FRN amplitudes to reward and punishment feedback (Larson et al, 2011; McPartland et al, 2012), these data underscore the importance of also measuring the consistency of trial-to-trial phase alignment as a measure of neural synchrony. In a reward prediction task we show a unique difference, lower trial-to-trial phase locking in ASD, consistent with several studies highlighting a lack of neural synchrony as an endophenotype in ASD (Catarino et al, 2013; David et al, 2016; Dinstein et al, 2011; Lushchekina et al, 2016; Schwartz et al, 2016). Our findings point to further evidence for reduced ITC in ASD and the benefit of examining more nuanced measures in EEG studies that can differentiate ASD from neurotypical controls.…”

Section: Discussionsupporting

confidence: 90%

“…Much evidence implicates reduced neural synchronization in ASD (Catarino et al, 2013; Dinstein et al, 2011; Lushchekina et al, 2016). The variability in theta we observed in persons with ASD aligns with recent work by Sinha and colleagues (Sinha et al, 2014), who proposed that a common underlying deficit within the autism phenotype is poor predictive abilities.…”

Section: Discussionmentioning

confidence: 99%

“…Some evidence suggest that within-subject variability in the amplitude and timing of early visual P1 ERPs is greater in ASD compared to neuro-typical matched controls (Milne, 2011). Others have examined neural variability in youth and young adults with ASD and found low coherence across multiple frequency bands during resting states (Dinstein et al, 2011; Lushchekina, Khaerdinova, Novototskii-vlasov, & Lushchekin, 2016), stimulus processing (Catarino et al, 2013), and cognitive tasks (Lushchekina et al, 2016), leading some to suggest that a lack of synchrony in neural oscillations reflects an endophenotype of ASD (David et al, 2016; Schwartz, Kessler, Gaughan, & Buckley, 2016). Thus, we consider whether this variability could also be present in the FRN and reflect a lack of synchronization in medial frontal neural systems that mediate feedback processing.…”

Section: Introductionmentioning

confidence: 99%

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Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism

Noordt

Venkataraman

et al. 2017

Research in Autism Spectrum Disorders

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Background 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. Method 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. Conclusions This finding are 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.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism

Noordt

Venkataraman

et al. 2017

Research in Autism Spectrum Disorders

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“…For instance, in one study of resting-state connectivity, children ages 6 to 11 diagnosed with ASD showed reductions in delta and theta frontal-occipital MSC, both intra- and interhemispherically, relative to TD, agematched controls [33]. Another study of boys with ASD, ages 5-7, also found highly significant patterns of reduced theta coherence from the frontal to temporal and posterior regions during resting state [34]. In direct contrast, Machado and colleagues found significant increases in delta and theta MSC in the left hemisphere, generally defined by long-range connections between the anterior and posterior regions [33–35].…”

Section: School-aged Children: Default Network Coherencementioning

confidence: 99%

“…In particular, medium- to long-range gamma coherence between temporal lobe regions and other brain regions have been noted as increased in children with ASD [35,40]. Global increases in beta and gamma coherence have also been noted as prominent in medium- and long-range connections stemming from the temporal and posterior regions [34]. …”

Section: School-aged Children: Default Network Coherencementioning

confidence: 99%

Electroencephalogram Coherence Patterns in Autism: An Updated Review

Schwartz

Kessler

Gaughan

et al. 2017

Pediatric Neurology

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Recent electrophysiological studies suggest that autism spectrum disorder is characterized by aberrant anatomical and functional neural circuitry. During normal brain development, pruning and synaptogenesis facilitate ongoing changes in both short- and long-range neural wiring. In developmental disorders such as autism, this process may be perturbed leading to abnormal neural connectivity. Careful analysis of electrophysiological connectivity patterns using EEG coherence may provide a way to probe the resulting differences in neurological function between people with and without autism. There is general consensus that EEG coherence patterns differ between individuals with and without autism spectrum disorders, however the exact nature of the differences and their clinical significance remain unclear. Here we review recent literature comparing EEG coherence patterns between patients with autism spectrum disorders or at high risk for autism and their non-autistic or low risk for autism peers.

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Inter‐trial theta phase consistency during face processing in infants is associated with later emerging autism

van Noordt,

Desjardins,

Elsabbagh

2022

Autism Research

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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 (HRAÀ), 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 SummaryWe 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.

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Synchronization of EEG Rhythms in Baseline Conditions and during Counting in Children with Autism Spectrum Disorders

Cited by 13 publications

References 12 publications

Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism

Inter-trial coherence of medial frontal theta oscillations linked to differential feedback processing in youth and young adults with autism

Electroencephalogram Coherence Patterns in Autism: An Updated Review

Inter‐trial theta phase consistency during face processing in infants is associated with later emerging autism

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