How does noise affect amplitude and latency measurement of event‐related potentials (<scp>ERPs</scp>)? A methodological critique and simulation study

Clayson, Peter E.; Baldwin, Scott A.; Larson, Michael J.

doi:10.1111/psyp.12001

Cited by 222 publications

(163 citation statements)

References 53 publications

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“…Supplementary analyses of the non-CSD (i.e., raw) data indicated that ABM participants demonstrated reductions in the ERN and CRN but not the ΔERN. Similar results were obtained for peak-to-peak analyses; however, it is important to note that peak amplitude can produce a biased measure (Luck, 2005) and is highly sensitive to noise (Clayson, Baldwin, & Larson, 2013). The CSD transform improved spatial and temporal overlap between the response-locked ERP components (e.g., the CRN and ERN) and stimulus-locked ERP components (e.g., P300), and results from these analyses indicated reductions in the ERN, CRN, and the ΔERN.…”

Section: Discussionsupporting

confidence: 67%

Attention bias modification reduces neural correlates of response monitoring

Nelson

Jackson

Amir

et al. 2017

Biological Psychology

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The error-related negativity (ERN) is an electrophysiological response to errors. Individual differences in the ERN have been posited to reflect sensitivity to threat and linked with risk for anxiety disorders. Attention bias modification is a promising computerized intervention that has been shown to decrease threat biases and anxiety symptoms. In the present study, we examined the impact of a single session of attention bias modification, relative to a control task, on the neural correlates of response monitoring, including the ERN, correct response negativity (CRN), and their difference (i.e., the ERN – CRN or ΔERN). The final sample included 60 participants who first completed a flanker task to elicit the ERN and CRN, and were then randomly assigned to attention bias modification (n = 30) or a control task (n = 30). After completing the attention bias modification or control task, participants completed the same flanker task to again elicit the ERN and CRN. Among participants who completed attention bias modification training, the ERN, CRN, and ΔERN decreased from the pre- to post-training assessment. In contrast, in participants who completed the control task, the CRN, ERN, and ΔERN did not differ between the pre- and post-training assessment. The presents study suggests that a single session of attention bias modification reduces neural correlates of response monitoring, including error-related brain activity. These results also support attention bias modification as a potential mechanistic-based intervention for the prevention and treatment of anxiety pathology.

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Section: Discussionsupporting

confidence: 67%

Attention bias modification reduces neural correlates of response monitoring

Nelson

Jackson

Amir

et al. 2017

Biological Psychology

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“…For the HTA group, ERPs contained an average of 89±3 trials for congruent trials under low WM load, 86±5 for incongruent trials under low WM load, 89±3 for congruent trials under high WM load, and 85±6 for incongruent trials under high WM load. Notably, noise estimates were found to be similar between groups ([ t s] <1.16, p s>0.25), therefore suggesting that noise did not differentially bias amplitude measurement for either group [43].…”

Section: Resultsmentioning

confidence: 89%

Impact of Working Memory Load on Cognitive Control in Trait Anxiety: An ERP Study

Zeng

Luo

et al. 2014

PLoS ONE

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Whether trait anxiety is associated with a general impairment of cognitive control is a matter of debate. This study investigated whether and how experimentally manipulated working memory (WM) load modulates the relation between trait anxiety and cognitive control. This question was investigated using a dual-task design in combination with event-related potentials. Participants were required to remember either one (low WM load) or six letters (high WM load) while performing a flanker task. Our results showed that a high WM load disrupted participants' ability to overcome distractor interference and this effect was exacerbated for the high trait-anxious (HTA) group. This exacerbation was reflected by larger interference effects (i.e., incongruent minus congruent) on reaction times (RTs) and N2 amplitudes for the HTA group than for the low trait-anxious group under high WM load. The two groups, however, did not differ in their ability to inhibit task-irrelevant distractors under low WM load, as indicated by both RTs and N2 amplitudes. These findings underscore the significance of WM-related cognitive demand in contributing to the presence (or absence) of a general cognitive control deficit in trait anxiety. Furthermore, our findings show that when limited WM resources are depleted by high WM load, HTA individuals exhibit less efficient recruitments of cognitive control required for the inhibition of distractors, therefore resulting in a greater degree of response conflict.

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“…Given the small amplitude of the N2b response, six centro-frontal channels (FC1, FC2, FCz, C1, C2, and Cz) were grouped in our analysis. For each subject, mean amplitude values in the selected time windows for the ERP components were calculated for the deviant-to-standard difference waveforms under the four conditions (i.e., two spectral contrasts by two attentional conditions) (Luck, 2005; Clayson et al, 2013). …”

Section: Methodsmentioning

confidence: 99%

Auditory stream segregation using bandpass noises: evidence from event-related potentials

Nie

Zhang

2014

Front. Neurosci.

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The current study measured neural responses to investigate auditory stream segregation of noise stimuli with or without clear spectral contrast. Sequences of alternating A and B noise bursts were presented to elicit stream segregation in normal-hearing listeners. The successive B bursts in each sequence maintained an equal amount of temporal separation with manipulations introduced on the last stimulus. The last B burst was either delayed for 50% of the sequences or not delayed for the other 50%. The A bursts were jittered in between every two adjacent B bursts. To study the effects of spectral separation on streaming, the A and B bursts were further manipulated by using either bandpass-filtered noises widely spaced in center frequency or broadband noises. Event-related potentials (ERPs) to the last B bursts were analyzed to compare the neural responses to the delay vs. no-delay trials in both passive and attentive listening conditions. In the passive listening condition, a trend for a possible late mismatch negativity (MMN) or late discriminative negativity (LDN) response was observed only when the A and B bursts were spectrally separate, suggesting that spectral separation in the A and B burst sequences could be conducive to stream segregation at the pre-attentive level. In the attentive condition, a P300 response was consistently elicited regardless of whether there was spectral separation between the A and B bursts, indicating the facilitative role of voluntary attention in stream segregation. The results suggest that reliable ERP measures can be used as indirect indicators for auditory stream segregation in conditions of weak spectral contrast. These findings have important implications for cochlear implant (CI) studies—as spectral information available through a CI device or simulation is substantially degraded, it may require more attention to achieve stream segregation.

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How does noise affect amplitude and latency measurement of event‐related potentials (ERPs)? A methodological critique and simulation study

Cited by 222 publications

References 53 publications

Attention bias modification reduces neural correlates of response monitoring

Attention bias modification reduces neural correlates of response monitoring

Impact of Working Memory Load on Cognitive Control in Trait Anxiety: An ERP Study

Auditory stream segregation using bandpass noises: evidence from event-related potentials

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