Overlaps and distinctions between attention deficit/hyperactivity disorder and autism spectrum disorder in young adulthood: Systematic review and guiding framework for EEG-imaging research

Lau‐Zhu, Alex; Fritz, Anne; McLoughlin, Gráinne

doi:10.1016/j.neubiorev.2018.10.009

Cited by 61 publications

(58 citation statements)

References 202 publications

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“…Previous cognitive and neuropsychological findings suggested different attention impairments related to visual orienting in ADHD and ASD: the processing of alerting cues in ADHD and processing and orienting to relatively unexpected targets in ASD (Lau‐Zhu, Fritz, & McLoughlin, ). The LC‐NE system is implicated in exploiting alerting cues to increase alertness and detecting task‐relevant stimuli (Aston‐Jones, & Cohen, ; Petersen, & Posner, ), and as such in modulating the optimal attentional state during visual orienting.…”

Section: Discussionmentioning

confidence: 99%

“…In ASD, atypical reorienting has instead been associated with stimulus‐locked ERP components (Sokadhze et al, ). Indeed, across studies with cognitive‐neurophysiological paradigms, altered attentional processing in ADHD most consistently relates to alerting cues; and in ASD to the relative novelty of the stimulus following a cue (Lau‐Zhu, Fritz, & McLoughlin, ).…”

Section: Introductionmentioning

confidence: 99%

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Pupil dilation during visuospatial orienting differentiates between autism spectrum disorder and attention‐deficit/hyperactivity disorder

Boxhoorn

Bast

Supèr

et al. 2019

Child Psychology Psychiatry

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Background: Previous research demonstrated atypical attention in children with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Regarding visual orienting, findings suggest a differential impairment: Atypical orienting to relatively unexpected targets in ASD, and atypical processing of alerting cues in ADHD. The locus coeruleus-norepinephrine (LC-NE) system plays an important role in exploiting alerting cues to increase attention and task performance. The present study's aim was to examine differential subcortical processes underlying visual orienting in ASD and ADHD with pupil dilation (PD) as index of LC activity. Methods: Pupil dilation (PD) progression metrics during visual orienting were calculated for task-evoked PD locked to cue, stimulus onset, and behavioral response. Group differences in PD and reaction time (RT) were compared between children with ASD without ADHD (ASD-) (N = 18), ADHD without ASD (ADHD-) (N = 28), both disorders (ASD + ADHD) (N = 14), and typically developing children (TD) (N = 31) using linear mixed models (LMM). To further explore the modulatory role of the LC-NE system group differences in the effect of task-evoked PD metrics on RT were examined exploratively. Results: ASD (+ADHD) showed slower orienting responses to relatively unexpected spatial target stimuli as compared to TD, which was accompanied by higher PD amplitudes relative to ADHDÀ and TD. In ADHDÀ, shorter cue-evoked PD latencies relative to ASDÀ, ASD + ADHD, and TD were found. Group differences in the effect of cueand stimulus-evoked PD amplitudes on RT were found in ASDÀ relative to TD. Conclusions: Study findings provide new evidence for a specific role of the LC-NE system in impaired reflexive orienting responses in ASD, and atypical visual processing of alerting cues in ADHD. Key pointsPrevious findings suggest different attention processes during visuospatial orienting task performance in ASD and ADHD. This is the first study to compare pupil dilations (PD) as an index of LC activity between ASD and ADHD during visuospatial orienting.PD during visuospatial orienting differentiated between ASD and ADHD, suggesting different subcortical processes in ASD and ADHD.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pupil dilation during visuospatial orienting differentiates between autism spectrum disorder and attention‐deficit/hyperactivity disorder

Boxhoorn

Bast

Supèr

et al. 2019

Child Psychology Psychiatry

View full text Add to dashboard Cite

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“…Considering the ample evidence, detailed demonstration, wide recognition and discussion of the latency jitter issue in ERP research (D'Avanzo, Schiff, Amodio, & Sparacino, 2011; T. P. Knuth et al, 2006;Kutas et al, 1977;Lau-Zhu, Fritz, & McLoughlin, 2019;Ouyang et al, 2017;Sassenhagen & Bornkessel-Schlesewsky, 2015;Saville et al, 2015;, it is surprising that no well accepted tool for correcting latency jitter has come into play in the community. Researchers are still largely using trial-averaged ERP as a representation of dynamic brain response.…”

Section: General Issues and Challengesmentioning

confidence: 99%

ReSync: Correcting the trial-to-trial asynchrony of event-related brain potentials to improve neural response representation

Ouyang

2020

Journal of Neuroscience Methods

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For various reasons, the brain response activities in EEG signals are not perfectly synchronized from trial to trial with respect to event markers -a problem commonly referred to as ERP latency jitter. EEG experimental technologies have been greatly advanced to reduce technical timing errors so as to reduce the jitter. However, there are intrinsic sources of jitter that are difficult, if not impossible, to remove. The problem becomes more complicated when facing multiple sub-components with different jitter. The jitter issue renders trial-averaged ERP inaccurate at best and misleading at worst. Effectively correcting the jitter has profound significance in brain research. I present a simple method and easy-to-use toolbox ReSync for correcting ERP jitters based on signal processing theories and techniques. ReSync can be used to correct multiple overlapping ERP sub-components with different degrees of jitter without affecting each other (including the static one). The theories, principles, technical details, and limitations of ReSync were presented in this paper, along with a series of simulation and real data examples for evaluating and validating the method.

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“…There is a need to investigate specifics of the overlap and distinction in behavioral and neurophysiological impairments typical for ASD and ADHD and to determine how symptoms combine in ASD+ADHD cases (Lau-Zhu, Fritz, & McLoughlin, 2019). Reports have shown that children with ASD+ADHD present more behavioral difficulties of adaptation to daily life hassles as compared to those with ASD or ADHD alone.…”

Section: Introductionmentioning

confidence: 99%

Comparative Event-related Potential Study of Performance in Visual Oddball Task in Children with Autism Spectrum Disorder, ADHD, comorbid Autism and ADHD, and Neurotypical Children

Sokhadze

Sears

Tasman

et al. 2019

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Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are the most commonly diagnosed neurodevelopmental disorders. Although the comorbidity was excluded in DSM-IV (APA, 2000), DSM-5 (APA, 2013) does not preclude the concurrent diagnosis of ASD and ADHD (ASD+ADHD). This study aimed to understand distinctions in executive deficits among these conditions. We used analysis of reaction time (RT) and event-related potentials (ERP) during performance on oddball task with illusory figures. Participants were children (N = 18 per group) with ASD, ADHD, ASD+ADHD, and neurotypical controls (CNT). Analysis revealed that ASD and ASD+ADHD groups committed more errors and had higher omission error rates. Post-error RT in ASD and ASD+ADHD manifested as a post-error response speeding rather than normative RT slowing. The ASD and ASD+ADHD demonstrated an attenuated error-related negativity (ERN) as compared to ADHD and controls. The frontal N100 was enhanced to both target and nontarget figures in ASD and ASD+ADHD groups. Frontal ERPs had prolonged latencies in the ADHD as compared to other groups. The study confirmed the utility of using ERP to elucidate differences between ASD and ADHD and their impact in dual diagnosis. This information helps define the extent of overlap among these conditions both in terms of symptom expression and underlying neuropathology.

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Overlaps and distinctions between attention deficit/hyperactivity disorder and autism spectrum disorder in young adulthood: Systematic review and guiding framework for EEG-imaging research

Cited by 61 publications

References 202 publications

Pupil dilation during visuospatial orienting differentiates between autism spectrum disorder and attention‐deficit/hyperactivity disorder

Pupil dilation during visuospatial orienting differentiates between autism spectrum disorder and attention‐deficit/hyperactivity disorder

ReSync: Correcting the trial-to-trial asynchrony of event-related brain potentials to improve neural response representation

Comparative Event-related Potential Study of Performance in Visual Oddball Task in Children with Autism Spectrum Disorder, ADHD, comorbid Autism and ADHD, and Neurotypical Children

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