Variability of single trial brain activation predicts fluctuations in reaction time

Bender, Stephan; Banaschewski, Tobias; Roessner, Veit; Klein, Christoph; Rietschel, Marcella; Feige, Bernd; Brandeis, Daniel; Laucht, Manfred

doi:10.1016/j.biopsycho.2015.01.013

Cited by 22 publications

(17 citation statements)

References 66 publications

(95 reference statements)

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“…Individual differences in both theta- and delta-band PLI showed significant associations with task performance, including accuracy, reaction time, and, most notably, inter-trial reaction time variability (RTV), consistent with other relevant studies (Bender et al, 2015; Papenberg et al, 2013). Specifically, weaker inter-trial phase clustering as indicated by lower PLI values predicted greater RTV ( r = −0.46, p < 0.001).…”

Section: Discussionsupporting

confidence: 89%

Genetic influences on phase synchrony of brain oscillations supporting response inhibition

Müller

Anokhin

Lindenberger

2017

International Journal of Psychophysiology

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Phase synchronization of neuronal oscillations is a fundamental mechanism underlying cognitive processing and behavior, including context-dependent response production and inhibition. Abnormalities in neural synchrony can lead to abnormal information processing and contribute to cognitive and behavioral deficits in neuropsychiatric disorders. However, little is known about genetic and environmental contributions to individual differences in cortical oscillatory dynamics underlying response inhibition. This study examined heritability of event-related phase synchronization of brain oscillations in 302 young female twins including 94 MZ and 57 DZ pairs performing a cued Go/No-Go version of the Continuous Performance Test (CPT). We used the Phase Locking Index (PLI) to assess inter-trial phase clustering (synchrony) in several frequency bands in two time intervals after stimulus onset (0–300 and 301–600 ms). Response inhibition (i.e., successful response suppression in No-Go trials) was characterized by a transient increase in phase synchronization of delta- and theta-band oscillations in the fronto-central midline region. Genetic analysis showed significant heritability of the phase locking measures related to response inhibition, with 30 to 49% of inter-individual variability being accounted for by genetic factors. This is the first study providing evidence for heritability of task-related neural synchrony. The present results suggest that PLI can serve as an indicator of genetically transmitted individual differences in neural substrates of response inhibition.

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Section: Discussionsupporting

confidence: 89%

Genetic influences on phase synchrony of brain oscillations supporting response inhibition

Müller

Anokhin

Lindenberger

2017

International Journal of Psychophysiology

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“…The results from Magnuson et al [] show reduced neural responses to the inhibitory control task in the ASD group. This finding, paired with increased behavioral and stimulus‐evoked neural variability in these children identified in the current study, warrants further investigation on the issue of whether reports of decreased brain activation from averaged ERP analyses might be the consequence of increased neural variability [Bender et al, ; Ouyang, Sommer, & Zhou, ]. More specifically, the study by Magnuson et al [] reported reduced N200 component amplitude in children with ASD as compared to TD children.…”

Section: Discussionsupporting

confidence: 53%

Increased Intra‐Subject Variability of Reaction Times and Single‐Trial Event‐Related Potential Components in Children With Autism Spectrum Disorder

et al. 2019

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Autism spectrum disorder (ASD) is an increasingly common neurodevelopmental disorder that affects 1 in 59 children. The cognitive profiles of individuals with ASD are varied, and the neurophysiological underpinnings of these developmental difficulties are unclear. While many studies have focused on overall group differences in the amplitude or latency of event related potential (ERP) responses, recent research suggests that increased intra‐subject neural variability may also be a reliable indicator of atypical brain function in ASD. This study aimed to identify behavioral and neural variability responses during an emotional inhibitory control task in children with ASD compared to typically developing (TD) children. Children with ASD showed increased variability in response to both inhibitory and emotional stimuli, evidenced by greater reaction time variability and single‐trial ERP variability of N200 and N170 amplitudes and/or latencies compared to TD children. These results suggest that the physiological basis of ASD may be more accurately explained by increased intra‐subject variability, in addition to characteristic increases or decreases in the amplitude or latency of neural responses. Autism Res 2020, 13:221–229. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary The cognitive functions including memory, attention, executive functions, and perception, of individuals with ASD are varied, and the physiological underpinnings of these profiles are unclear. In this study, children with ASD showed increased intra‐subject neural and behavioral variability in response to an emotional inhibitory control task compared to typically developing children. These results suggest that the physiological basis of ASD may also be explained by increased behavioral and neural variability in people with ASD, rather than simply characteristic increases or decreases in averaged brain responses.

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“…Analyses of P3b and lateralized readiness potential (LRP) latency distributions to infrequent or unexpected (‘oddball’) stimuli suggest that reaction time variability in ADHD may be in large part due to processing differences related to response emission rather than to stimulus interpretation (Saville et al., ). Furthermore, the heterogeneity in the spatial distribution and low amplitude of the P3 were the strongest predictors of RTV (Bender et al., ).…”

Section: Current Controversiesmentioning

confidence: 99%

Research Review: Use of EEG biomarkers in child psychiatry research – current state and future directions

Loo

Lenartowicz

Makeig³

2015

Child Psychology Psychiatry

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Background Electroencephalography (EEG) and related measures have a long and productive history in child psychopathology research and are currently experiencing a renaissance in interest, particularly for use as putative biomarkers. Method and Scope First, the recent history leading to the use of EEG measures as endophenotypes and biomarkers for disease and treatment response are reviewed. Two key controversies within the area of non-invasive human electrophysiology research are discussed, and problems that currently either function as barriers or provide gateways to progress. First, the differences between the main types of EEG measurements (event related potentials, quantitative EEG, and time-frequency measures) and how they can contribute collectively to better understanding of cortical dynamics underlying cognition and behavior are highlighted. Second, we focus on the ongoing shift in analytic focus to specific cortical sources and source networks whose dynamics are relevant to the clinical and experimental focus of the study, and the effective increase in source signal-to-noise ratio (SNR) that may be obtained in the process. Conclusions Understanding of these issues informs any discussion of current trends in EEG research. We highlight possible ways to evolve our understanding of brain dynamics beyond the apparent contradictions in understanding and modeling EEG activity highlighted by these controversies. Finally, we summarize some promising future directions of EEG biomarker research in child psychopathology.

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Variability of single trial brain activation predicts fluctuations in reaction time

Cited by 22 publications

References 66 publications

Genetic influences on phase synchrony of brain oscillations supporting response inhibition

Genetic influences on phase synchrony of brain oscillations supporting response inhibition

Increased Intra‐Subject Variability of Reaction Times and Single‐Trial Event‐Related Potential Components in Children With Autism Spectrum Disorder

Research Review: Use of EEG biomarkers in child psychiatry research – current state and future directions

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