Dissociable feedback valence effects on frontal midline theta during reward gain versus threat avoidance learning

Stolz, Christopher; Pickering, Alan D.; Mueller, Erik M.

doi:10.1111/psyp.14235

Cited by 3 publications

(3 citation statements)

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“…In other words, increased theta power in single trials corresponded to longer reaction times during set-shifting. Moreover, this pattern was condition-specific and not evident within the repeat dimension, underscoring the role of midfrontal theta during set-shifting, where substantial cognitive control is required (Cavanagh and Shackman, 2015;Domic-Siede et al, 2021;Stolz et al, 2023).…”

Section: Age-related Differences In Midfrontal Theta Modulations and ...mentioning

confidence: 87%

“…Midfrontal theta power was calculated as the mean theta power (4-8 Hz) at electrode sites F1, F2, Fz, FC1, FC2, FCz in the post-stimulus time period between 250 and 500 ms. These electrodes were chosen based on the observed distribution of theta activity on the grand average of all participants and all conditions (Stolz et al, 2023). For the purposes of singletrial analysis, the mean theta power obtained from the frontocentral electrodes in the time period between 250 and 500 ms after target presentation, was calculated for each trial before normalization with baseline subtraction.…”

Section: Eeg Acquisition and Pre-processingmentioning

confidence: 99%

“…Aging studies have reported a delayed P300 latency in older adults (Fernandes et al, 2015;Van Dinteren et al, 2014), which has also been related to lower performance in executive function tasks (Duncan et al, 2009). Time-frequency analyses of task-related EEG have shown that midfrontal theta oscillations (4-8 Hz) are associated with cognitive control processes (Cavanagh and Shackman, 2015;Domic-Siede et al, 2021;Stolz et al, 2023) and cognitive flexibility, as switch trials elicit increased theta power compared to repeat trials (Cooper et al, 2017;Cunillera et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Frontal Theta Oscillations and Cognitive Flexibility: Age-Related Modulations in EEG Activity

Darna,

Stolz,

Jauch

et al. 2024

Preprint

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Cognitive flexibility, the ability to adapt one’s behaviour in changing environments, declines during aging. Electroencephalography (EEG) studies demonstrate that the P300 and midfrontal theta oscillations are sensitive to attentional set-shifting – a measure of cognitive flexibility. Few is known about the electrocortical modulations underlying set-shifting in healthy older adults. Here, we investigated aging effects on set-shifting performance by analysing the P300 and theta power in 20 young (mean age: 22.5 ± 2.9 years) and 19 older (mean age: 69.4 ± 6.1 years) adults. While increasing shift difficulty (e.g. intra- vs. extra-dimensional shifts) led to increased reaction times (RTs) and higher error rates in both age groups, older adults showed an additional increase in RT variability. Older adults showed higher P300 latencies and P300 amplitude decreased during set-shifting in both groups. Young adults exhibited amplified midfrontal theta power with increasing shift difficulty whereas older adults showed an overall decrease. This study suggests that set-shifting in healthy older adults occurs without midfrontal theta modulation indicating that different neural substrates are recruited compared to young adults.

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Section: Age-related Differences In Midfrontal Theta Modulations and ...mentioning

confidence: 87%

Section: Eeg Acquisition and Pre-processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Frontal Theta Oscillations and Cognitive Flexibility: Age-Related Modulations in EEG Activity

Darna,

Stolz,

Jauch

et al. 2024

Preprint

Self Cite

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Dysfunctional feedback processing in male methamphetamine abusers: Evidence from neurophysiological and computational approaches

Ghaderi,

Amani Rad,

Hemami

et al. 2024

Neuropsychologia

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Neural Mechanism of Musical Pleasure Induced by Prediction Errors: An EEG Study

Ueno,

Shimada

2024

Brain Sciences

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Background/Objectives: Musical pleasure is considered to be induced by prediction errors (surprise), as suggested in neuroimaging studies. However, the role of temporal changes in musical features in reward processing remains unclear. Utilizing the Information Dynamics of Music (IDyOM) model, a statistical model that calculates musical surprise based on prediction errors in melody and harmony, we investigated whether brain activities associated with musical pleasure, particularly in the θ, β, and γ bands, are induced by prediction errors, similar to those observed during monetary rewards. Methods: We used the IDyOM model to calculate the information content (IC) of surprise for melody and harmony in 70 musical pieces across six genres; eight pieces with varying IC values were selected. Electroencephalographic data were recorded during listening to the pieces, continuously evaluating the participants’ subjective pleasure on a 1–4 scale. Time–frequency analysis of electroencephalographic data was conducted, followed by general linear model analysis to fit the power-value time course in each frequency band to the time courses of subjective pleasure and IC for melody and harmony. Results: Significant positive fits were observed in the β and γ bands in the frontal region with both subjective pleasure and IC for melody and harmony. No significant fit was observed in the θ band. Both subjective pleasure and IC are associated with increased β and γ band power in the frontal regions. Conclusions: β and γ oscillatory activities in the frontal regions are strongly associated with musical rewards induced by prediction errors, similar to brain activity observed during monetary rewards.

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Dissociable feedback valence effects on frontal midline theta during reward gain versus threat avoidance learning

Cited by 3 publications

References 154 publications

Frontal Theta Oscillations and Cognitive Flexibility: Age-Related Modulations in EEG Activity

Frontal Theta Oscillations and Cognitive Flexibility: Age-Related Modulations in EEG Activity

Dysfunctional feedback processing in male methamphetamine abusers: Evidence from neurophysiological and computational approaches

Neural Mechanism of Musical Pleasure Induced by Prediction Errors: An EEG Study

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