Latent Components of Event-Related Potentials in a Visual Cued Go/NoGo Task

Пономарев, В. А.; Pronina, M. V.; Kropotov, Yu. D.

doi:10.1134/s0362119719050141

Cited by 5 publications

(7 citation statements)

References 55 publications

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“…This task was used in a set of previous studies. 10,20,32,33 The test compromises 400 trials, of which each consists of a pair of consecutively presented visual stimuli (animals, plants, and humans). In Go-trials (animal–animal), a picture of an animal is followed by a picture of an animal, and the participant is asked to press a button.…”

Section: Methodsmentioning

confidence: 99%

Behavioral and Neurophysiological Markers of ADHD in Children, Adolescents, and Adults: A Large-Scale Clinical Study

Münger

Candrian²,

Kasper³

et al. 2021

Clin EEG Neurosci

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This study aimed to re-evaluate the possible differences between attention-deficit/hyperactivity disorder (ADHD) subjects and healthy controls in the context of a standard Go/NoGo task (visual continuous performance test [VCPT]), frequently used to measure executive functions. In contrast to many previous studies, our sample comprises children, adolescents, and adults. We analyzed data from 447 ADHD patients and 227 healthy controls. By applying multivariate linear regression analyses, we controlled the group differences between ADHD patients and controls for age and sex. As dependent variables we used behavioral (number of omission and commission errors, reaction time, and reaction time variability) and neurophysiological measures (event-related potentials [ERPs]). In summary, we successfully replicated the deviations of ADHD subjects from healthy controls. The differences are small to moderate when expressed as effect size measures (number of omission errors: d = 0.60, reaction time variability: d = 0.56, contingent negative variation (CNV) and P3 amplitudes: −0.35 < d < −0.47, ERP latencies: 0.21 < d < 0.29). Further analyses revealed no substantial differences between ADHD subtypes (combined, inattentive, and hyperactive/impulsive presentation), subgroups according to high- and low-symptomatic burden or methylphenidate intake for their daily routine. We successfully replicated known differences between ADHD subjects and controls for the behavioral and neurophysiological variables. However, the small-to-moderate effect sizes limit their utility as biomarkers in the diagnostic procedure. The incongruence of self-reported symptomatic burden and clinical diagnosis emphasizes the challenges of the present clinical diagnosis with low reliability, which partially accounts for the low degree of discrimination between ADHD subjects and controls.

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Section: Methodsmentioning

confidence: 99%

Behavioral and Neurophysiological Markers of ADHD in Children, Adolescents, and Adults: A Large-Scale Clinical Study

Münger

Candrian²,

Kasper³

et al. 2021

Clin EEG Neurosci

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“…We applied an established visual continuous performance test (VCPT) (Grane et al, 2016;Müller et al, 2019;Ponomarev et al, 2019), which is a classical cued Go/NoGo task. The test lasts 22 mins and comprises 400 trials, each consisting of a pair of sequentially presented visual stimuli.…”

Section: Go/nogo Taskmentioning

confidence: 99%

“…As neurophysiological measures, we looked at the amplitudes and latencies of four previously described and commonly used ERP components in ADHD research: cueP3, CNV, N2d, and P3d (Grane et al, 2016;Müller et al, 2019;Ponomarev et al, 2019;Kaiser et al, 2020). The presentation of an animal as the cue stimulus indicates a potentially upcoming Go stimulus, requiring an active button press and puts the participant in a state of increased alertness.…”

Section: Go/nogo Taskmentioning

confidence: 99%

Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

Münger

Sele

Candrian³

et al. 2022

Front. Hum. Neurosci.

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This study characterizes a large sample of adults with attention-deficit/hyperactivity disorder (ADHD) and healthy controls regarding their task performance and neurophysiology; cross-sectionally and longitudinally. Self-reported symptoms, behavioral measures, and event-related potentials from a classical cued Go/NoGo task were used to outline the symptom burden, executive function deficits and neurophysiological features, and the associations between these domains. The study participants (N = 210 ADHD, N = 158 controls, age: 18–62 years) were assessed five (ADHD) or three (controls) times over two years. We describe cross-sectional and longitudinal group differences, and associations between symptom burden, and behavioral and event-related potential (ERP) components variables by latent growth curve models, including random slopes and intercepts. The ADHD group showed increased reaction time variability, increased commission and omission errors, and attenuated cueP3, CNV, N2d, and P3d amplitudes. We observed a decrease in self-reported symptoms in the ADHD group over the two years. The behavioral measures (reaction time variability, number of omission, and commission errors) did not change over time, whereas the cueP3, P3d, and N2d amplitude attenuated in both groups. There was no evidence for a robust association between symptom burden and behavioral or ERP measures. The changes in the ERP components with stable task performance, potentially indicate more efficient neuronal processing over the two years. Whether the lack of association between symptom burden and behavioral or ERP measures might be due to the low reliability of the ADHD assessment criteria, or the inappropriateness of the objective measures cannot be inferred.

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“…Several computational approaches of BSS were implemented in ERP research, using the following models: a linear instantaneous mixing model [3][4][5][6][7], a parallel factorial analysis (PARAFAC) model [8][9][10], a shiftinvariant PARAFAC model (ShiftCP) [11]. These and many other studies have shown that the use of BSS methods makes it possible to identify functionally different components of the ERPs.…”

Section: Introductionmentioning

confidence: 99%

“…In the latter cases, BSS approaches are usually based on modeling the well-known property of person-toperson variability of ERPs (for example, see [7]). Our previous studies have also shown that PARAFAC is an appropriate tool for identifying common features of ERP source signals at the group level [9,10]. Using this type of analysis it is possible to reveal the hidden components of the ERP, which are difficult to observe with traditional approaches, such as group averaging or analysis of variance.…”

Section: Introductionmentioning

confidence: 99%

Bayesian estimation of group event-related potential components (BEGEP): testing a model for synthetic and real datasets

Ponomarev,

Kropotov

2024

J. Neural Eng.

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Objective. The spatial resolution of event-related potentials (ERPs) recorded on the head surface is quite low, since the sensors located on the scalp register mixtures of signals from several cortical sources. Bayesian models for multi-channel ERPs obtained from a group of subjects under multiple task conditions can aid in recovering signals from these sources. Approach. This study introduces a novel model that captures several important characteristics of ERP, including person-to-person variability in the magnitude and latency of source signals. Furthermore, the model takes into account that ERP noise, the main source of which is the background EEG, has the following properties: it is spatially correlated, spatially heterogeneous, and varies over time and from person to person. Bayesian inference algorithms have been developed to estimate the parameters of this model, and their performance has been evaluated through extensive experiments using synthetic data and real ERPs records in a large number of subjects (N=351). Main results. The signal estimates obtained using these algorithms were compared with the results of the analysis of ERPs by conventional methods. This comparison showed that the use of this model is suitable for the analysis of ERPs and helps to reveal some features of source signals that are difficult to observe in their mixture signals recorded on the scalp. Significance. This study shown that the proposed method is a potentially useful tool for analyzing ERPs collected from groups of subjects in various cognitive neuroscience experiments.

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Latent Components of Event-Related Potentials in a Visual Cued Go/NoGo Task

Cited by 5 publications

References 55 publications

Behavioral and Neurophysiological Markers of ADHD in Children, Adolescents, and Adults: A Large-Scale Clinical Study

Behavioral and Neurophysiological Markers of ADHD in Children, Adolescents, and Adults: A Large-Scale Clinical Study

Longitudinal Analysis of Self-Reported Symptoms, Behavioral Measures, and Event-Related Potential Components of a Cued Go/NoGo Task in Adults With Attention-Deficit/Hyperactivity Disorder and Controls

Bayesian estimation of group event-related potential components (BEGEP): testing a model for synthetic and real datasets

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