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Dive into the research topics where Rachel C. Leung is active.

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Featured researches published by Rachel C. Leung.


Child Neuropsychology | 2016

The role of executive functions in social impairment in Autism Spectrum Disorder

Rachel C. Leung; Vanessa M. Vogan; Tamara L. Powell; Evdokia Anagnostou; Margot J. Taylor

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by socio-communicative impairments. Executive dysfunction may explain some key characteristics of ASD, both social and nonsocial hallmarks. Limited research exists exploring the relations between executive function and social impairment in ASD and few studies have used a comparison control group. Thus, the objective of the present study was to investigate the relations between executive functioning using the Behavioral Rating Inventory of Executive Functioning (BRIEF), social impairment as measured by the Social Responsiveness Scale (SRS), and overall autistic symptomology as measured by the Autism Diagnostic Observation Schedule (ADOS) in children and adolescents with and without ASD. Seventy children and adolescents diagnosed with ASD and 71 typically developing controls were included in this study. Findings showed that behavioral regulation executive processes (i.e., inhibition, shifting, and emotional control) predicted social function in all children. However, metacognitive executive processes (i.e., initiation, working memory, planning, organization, and monitoring) predicted social function only in children with ASD and not in typically developing children. Our findings suggest a distinct metacognitive executive function-social symptom link in ASD that is not present in the typical population. Understanding components of executive functioning that contribute to the autistic symptomology, particularly in the socio-communicative domain, is crucial for developing effective interventions that target key executive processes as well as underlying behavioral symptoms.


Human Brain Mapping | 2014

Atypical resting synchrony in autism spectrum disorder.

Annette X. Ye; Rachel C. Leung; Carmen B. Schäfer; Margot J. Taylor; Sam M. Doesburg

Autism spectrum disorder (ASD) is increasingly understood to be associated with aberrant functional brain connectivity. Few studies, however, have described such atypical neural synchrony among specific brain regions. Here, we used magnetoencephalography (MEG) to characterize alterations in functional connectivity in adolescents with ASD through source space analysis of phase synchrony. Resting‐state MEG data were collected from 16 adolescents with ASD and 15 age‐ and sex‐matched typically developing (TD) adolescents. Atlas‐guided reconstruction of neural activity at various cortical and subcortical regions was performed and inter‐regional phase synchrony was calculated in physiologically relevant frequency bands. Using a multilevel approach, we characterized atypical resting‐state synchrony within specific anatomically defined networks as well as altered network topologies at both regional and whole‐network scales. Adolescents with ASD demonstrated frequency‐dependent alterations in inter‐regional functional connectivity. Hyperconnectivity was observed among the frontal, temporal, and subcortical regions in beta and gamma frequency ranges. In contrast, parietal and occipital regions were hypoconnected to widespread brain regions in theta and alpha bands in ASD. Furthermore, we isolated a hyperconnected network in the gamma band in adolescents with ASD which encompassed orbitofrontal, subcortical, and temporal regions implicated in social cognition. Results from graph analyses confirmed that frequency‐dependent alterations of network topologies exist at both global and local levels. We present the first source‐space investigation of oscillatory phase synchrony in resting‐state MEG in ASD. This work provides evidence of atypical connectivity at physiologically relevant time scales and indicates that alterations of functional connectivity in adolescents with ASD are frequency dependent and region dependent. Hum Brain Mapp 35:6049–6066, 2014.


Journal of Autism and Developmental Disorders | 2014

Brief Report: Cognitive Flexibility in Autism Spectrum Disorders: A Quantitative Review

Rachel C. Leung; Konstantine K. Zakzanis

Impairments in cognitive flexibility have been used to characterize the neuropsychological presentation of persons with autism spectrum disorders (ASDs). Previous studies have yielded mixed results. Our objective was to systematically review the sensitivity of cognitive flexibility measures in ASD using quantitative methods employed by meta-analytic statistical techniques. Seventy-two studies met inclusion criteria for analysis and included a total of 2,137 individuals with ASD and 2,185 healthy controls. Our findings demonstrate that while the shift sub-scale of the self-report version of the Behavioral Rating Inventory of Executive Function (BRIEF) showed approximate absolute discriminability, of all the performance measures that were systematically reviewed and evaluated, none could reliably differentiate between individuals with ASD and controls; this is not surprising given that cognitive flexibility is not a core deficit of ASD. Our findings suggest that while the shift sub-scale of the self-report version of the BRIEF is a promising clinical marker, clinical performance measures of cognitive flexibility may lack ecological validity and lastly, reinforces that impairments in cognitive flexibility do not uniformly characterize all persons with ASD.


NeuroImage: Clinical | 2015

The autism puzzle: Diffuse but not pervasive neuroanatomical abnormalities in children with ASD

Dafna Sussman; Rachel C. Leung; Vanessa M. Vogan; Wayne Lee; S. Trelle; S. Lin; D.B. Cassel; M. Mallar Chakravarty; Jason P. Lerch; Evdokia Anagnostou; Margot J. Taylor

Autism Spectrum Disorder (ASD) is a clinically diagnosed, heterogeneous, neurodevelopmental condition, whose underlying causes have yet to be fully determined. A variety of studies have investigated either cortical, subcortical, or cerebellar anatomy in ASD, but none have conducted a complete examination of all neuroanatomical parameters on a single, large cohort. The current study provides a comprehensive examination of brain development of children with ASD between the ages of 4 and 18 years who are carefully matched for age and sex with typically developing controls at a ratio of one-to-two. Two hundred and ten magnetic resonance images were examined from 138 Control (116 males and 22 females) and 72 participants with ASD (61 males and 11 females). Cortical segmentation into 78 brain-regions and 81,924 vertices was conducted with CIVET which facilitated a region-of-interest- (ROI-) and vertex-based analysis, respectively. Volumes for the cerebellum, hippocampus, striatum, pallidum, and thalamus and many associated subregions were derived using the MAGeT Brain algorithm. The study reveals cortical, subcortical and cerebellar differences between ASD and Control group participants. Diagnosis, diagnosis-by-age, and diagnosis-by-sex interaction effects were found to significantly impact total brain volume but not total surface area or mean cortical thickness of the ASD participants. Localized (vertex-based) analysis of cortical thickness revealed no significant group differences, even when age, age-range, and sex were used as covariates. Nonetheless, the region-based cortical thickness analysis did reveal regional changes in the left orbitofrontal cortex and left posterior cingulate gyrus, both of which showed reduced age-related cortical thinning in ASD. Our finding of region-based differences without significant vertex-based results likely indicates non-focal effects spanning the entirety of these regions. The hippocampi, thalamus, and globus pallidus, were smaller in volume relative to total cerebrum in the ASD participants. Various sub-structures showed an interaction of diagnosis-by-age, diagnosis-by-sex, and diagnosis-by-age-range, in the case where age was divided into childhood (age < 12) and adolescence (12 < age < 18). This is the most comprehensive imaging-based neuro-anatomical pediatric and adolescent ASD study to date. These data highlight the neurodevelopmental differences between typically developing children and those with ASD, and support aspects of the hypothesis of abnormal neuro-developmental trajectory of the brain in ASD.


Brain and behavior | 2016

The developing human brain: age‐related changes in cortical, subcortical, and cerebellar anatomy

Dafna Sussman; Rachel C. Leung; M. Mallar Chakravarty; Jason P. Lerch; Margot J. Taylor

This study is the first to characterize normal development and sex differences across neuroanatomical structures in cortical, subcortical, and cerebellar brain regions in a single large cohort.


NeuroImage: Clinical | 2015

Early neural activation during facial affect processing in adolescents with Autism Spectrum Disorder

Rachel C. Leung; Elizabeth W. Pang; Daniel B. Cassel; Jessica Brian; Mary Lou Smith; Margot J. Taylor

Impaired social interaction is one of the hallmarks of Autism Spectrum Disorder (ASD). Emotional faces are arguably the most critical visual social stimuli and the ability to perceive, recognize, and interpret emotions is central to social interaction and communication, and subsequently healthy social development. However, our understanding of the neural and cognitive mechanisms underlying emotional face processing in adolescents with ASD is limited. We recruited 48 adolescents, 24 with high functioning ASD and 24 typically developing controls. Participants completed an implicit emotional face processing task in the MEG. We examined spatiotemporal differences in neural activation between the groups during implicit angry and happy face processing. While there were no differences in response latencies between groups across emotions, adolescents with ASD had lower accuracy on the implicit emotional face processing task when the trials included angry faces. MEG data showed atypical neural activity in adolescents with ASD during angry and happy face processing, which included atypical activity in the insula, anterior and posterior cingulate and temporal and orbitofrontal regions. Our findings demonstrate differences in neural activity during happy and angry face processing between adolescents with and without ASD. These differences in activation in social cognitive regions may index the difficulties in face processing and in comprehension of social reward and punishment in the ASD group. Thus, our results suggest that atypical neural activation contributes to impaired affect processing, and thus social cognition, in adolescents with ASD.


Annals of Neurology | 2017

Developmental changes in neuromagnetic rhythms and network synchrony in autism

Vasily A. Vakorin; Sam M. Doesburg; Rachel C. Leung; Vanessa M. Vogan; Evdokia Anagnostou; Margot J. Taylor

There is gathering consensus that altered connectivity is a hallmark of the autistic brain. This includes atypical neural oscillations and their coordination across brain regions, which are understood to mediate information processing and integration. It remains unclear whether and how connectivity in various neurophysiological frequency ranges develops atypically in autism spectrum disorder (ASD).


Neuroscience | 2017

Stimulus exposure duration alters implicit processing of neutral and emotional faces

Jane E. Kouptsova; Rachel C. Leung; Margot J. Taylor

Stimulus exposure duration in emotion perception research is often chosen pragmatically; however, little work exists on the consequences of stimulus duration for the processing of emotional faces. We utilized the spatiotemporal resolution capabilities of magnetoencephalography (MEG) to characterize early implicit processing of emotional and neutral faces in response to stimuli presented for 80 and 150ms. We found that the insula was recruited to a greater degree within the short (80ms) condition for all face categories, and this effect was more pronounced for emotional compared to neutral faces. The orbitofrontal cortex was more active in the 80-ms condition for neutral faces only, suggesting a modulation of task difficulty by both the duration and the emotional category of the stimuli. No effects on reaction time or accuracy were observed. Our findings caution that differences in stimulus duration may result in differential neural processing of emotional faces and challenge the idea that neutral faces constitute a neutral baseline.


Frontiers in Psychology | 2018

Longitudinal Examination of Everyday Executive Functioning in Children With ASD: Relations With Social, Emotional, and Behavioral Functioning Over Time

Vanessa M. Vogan; Rachel C. Leung; Kristina Safar; Rhonda Martinussen; Mary Lou Smith; Margot J. Taylor

Executive functioning (EF) deficits are well-documented in Autism Spectrum Disorder (ASD), yet little is known about the longitudinal trajectory of “everyday” EF and links to social, emotional and behavioral outcomes in ASD. This study examined the profile of everyday EF utilizing parent-reported measures over 2 years, and explored whether prior estimates of EF were related to later co-morbid psychopathology and social functioning in 39 children with ASD and 34 typically developing (TD) children (ages 7–14 years). According to parent reports, children with ASD had impaired scores of EF in all domains at both time points, and showed no significant improvement across 2 years, compared to controls. Regression analyses showed that prior estimates of behavior regulation difficulties at time 1 uniquely predicted later emotional (i.e., symptoms of anxiety/depression) and behavioral (i.e., oppositionality/aggressiveness) problems in children with ASD 2 years later. Furthermore, an improvement of metacognitive skills predicted a reduction of social difficulties over 2 years in ASD. These results imply that EF may be a potential target of intervention for preventing and reducing co-morbid psychopathology and promoting social competence in youth with ASD. Furthermore, the findings that EF related to behavior is more critical for later emotional and behavioral functioning, whereas EF related to cognition is more critical for social functioning, indicates that it may be beneficial to tailor treatment. Future studies investigating the effectiveness of EF-based interventions in improving the cognitive, psychological and social outcomes in ASD are of high priority.


Frontiers in Human Neuroscience | 2018

Young Adults with Autism Spectrum Disorder Show Early Atypical Neural Activity during Emotional Face Processing

Rachel C. Leung; Elizabeth W. Pang; Evdokia Anagnostou; Margot J. Taylor

Social cognition is impaired in autism spectrum disorder (ASD). The ability to perceive and interpret affect is integral to successful social functioning and has an extended developmental course. However, the neural mechanisms underlying emotional face processing in ASD are unclear. Using magnetoencephalography (MEG), the present study explored neural activation during implicit emotional face processing in young adults with and without ASD. Twenty-six young adults with ASD and 26 healthy controls were recruited. Participants indicated the location of a scrambled pattern (target) that was presented alongside a happy or angry face. Emotion-related activation sources for each emotion were estimated using the Empirical Bayes Beamformer (pcorr ≤ 0.001) in Statistical Parametric Mapping 12 (SPM12). Emotional faces elicited elevated fusiform, amygdala and anterior insula and reduced anterior cingulate cortex (ACC) activity in adults with ASD relative to controls. Within group comparisons revealed that angry vs. happy faces elicited distinct neural activity in typically developing adults; there was no distinction in young adults with ASD. Our data suggest difficulties in affect processing in ASD reflect atypical recruitment of traditional emotional processing areas. These early differences may contribute to difficulties in deriving social reward from faces, ascribing salience to faces, and an immature threat processing system, which collectively could result in deficits in emotional face processing.

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Evdokia Anagnostou

Holland Bloorview Kids Rehabilitation Hospital

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Sam M. Doesburg

University of British Columbia

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