Anxiety and feedback processing in a gambling task: Contributions of time-frequency theta and delta

Ellis, Jessica S.; Watts, Adreanna T.M.; Schmidt, Norman B.; Bernat, Edward M.

doi:10.1016/j.biopsycho.2018.05.001

Cited by 4 publications

(6 citation statements)

References 69 publications

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“…Delta‐RewP activity did not differentiate between outcome valence until the new sequence was established (i.e., the second trial of the same outcome). While our general finding that gains generated more Delta‐RewP aligns with previous reports from our group as well as others (Bernat et al., 2008, 2011, 2015; Bowers et al., 2018; Cohen et al., 2007; Ellis et al., 2018; Nelson et al., 2011; Watts et al., 2017; Watts & Bernat, 2018), the finding of a non‐significant difference in Delta‐RewP activity between gain and loss outcomes during the change trial is worth special consideration. Delta‐RewP has consistently been shown to be larger for gains relative to losses, but these prior studies would not have suggested such a lack of gain‐loss differences on the change trial.…”

Section: Discussionsupporting

confidence: 93%

“…However, we found that this measure was insensitive to the establishment of a new sequence. This is consistent with work suggesting theta responds to more simple and primary attributes of outcome stimuli, relative to delta which appears additionally sensitive to secondary and more evaluative stimulus attributes (Bernat et al, 2008(Bernat et al, , 2011(Bernat et al, , 2015Bowers et al, 2018;Cohen et al, 2007;Ellis et al, 2018;Nelson et al, 2011;Watts et al, 2017;.…”

Section: Discussionsupporting

confidence: 87%

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Sequential gains and losses during gambling feedback: Differential effects in time‐frequency delta and theta measures

et al. 2021

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One critical aspect of reward‐feedback is the impact of local outcome history—how past experiences with choices and outcomes influences current behavior and neural activity. Yet, prior event‐related potential work in this area has been contentious. This study contributes to this field by using time‐frequency measures to better isolate constituent processes. Specifically, we identify how theta and delta are differentially sensitive to local outcome history. Participants completed a binary monetary choice task while we collected EEG data. Unbeknownst to them, trial outcomes were manipulated into pre‐determined sequences, ranging from one to eight gains or losses in a row. Analyses were arranged by sequence establishment (first 2 trials of a sequence) and continuation (prolonged sequences of 3–8 trials). During the establishment of a sequence, delta activity to gains and losses were virtually identical on the first (change) trial, demonstrating marked divergence only on the second trial. This difference grew throughout the continuation period, as delta activity was sustained with accruing gains but declined with multiple losses. Theta activity, conversely, demonstrated a maximal loss‐gain difference on the change trial but was insensitive to the establishment of a new sequence. Differential theta activity between outcomes decreased as sequences continued, with theta activity increasing over accruing gains and remaining stable over losses. Results indicate that delta‐gain and theta‐loss signals are relatively stable across sequential outcomes. Furthermore, theta is most sensitive to loss‐gain differences on the initial change trial, while delta is more sensitive to gain‐loss differences with the continuation of a sequence.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 87%

Sequential gains and losses during gambling feedback: Differential effects in time‐frequency delta and theta measures

et al. 2021

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“…LF regressions (Tables 5 and 6) revealed that delta-FN/P3 effects were accounted for by delta-P3/SW, but theta-FN was a unique predictor of SB. In a relevant study with anxious participants during a gambling task, delta-FN, a component of interest in the gambling task (Ellis et al, 2018), accounted for a majority of the effects. Although we see similar delta and theta effects to that study, the delta-P3/SW measure identified in this study accounts for the delta effects.…”

Section: Discussionmentioning

confidence: 99%

“…For instance, while it was traditionally posited as a relatively low-level response to negative outcomes, recent research using TF analysis has revealed that the FN is comprised of two overlapping parts: (1) a negativegoing, loss-sensitive theta signal, and (2) a positive-going, gain-sensitive delta signal (Bernat et al, 2011;Bernat et al, 2015;Yeung, 2004). The ability to separate these pieces has been critical in understanding how different aspects of feedback processing relate to psychopathology such as anxiety (Ellis et al, 2018) and externalizing disorders (Bernat et al, 2011). Importantly, while the FN is the primary component typically assessed in feedback paradigms, recent research has shown that early attention orienting and later low wave activity maybe implicated as well (Ellis et al, 2018).…”

Section: Time-frequency Analysismentioning

confidence: 99%

Feedback Processing as it Relates to Suicidal Ideation and Behavior Using a Time-Frequency Approach

Pavuluri,

Ellis,

Vivino

et al. 2023

Preprint

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BackgroundSuicidal ideation (SI) and suicidal behavior (SB) may have different etiological pathways, particularly related to feedback processing. Identifying ERP components related to these suicide states may help researchers localize and understand these differences.Objective.Our primary purpose was to utilize time-frequency decomposition techniques to assess neurophysiological correlates of SI and SB during positive and negative feedback processing.Methods271 subjects (55.7% female; mean age=35.75, SD=16.07; 30.6% veterans) completed a questionnaire battery and a multi-task protocol, including a gambling feedback task (Gehring & Willoughby, 2002), while electroencephalography (EEG) was collected using a 96-channel EEG system. Exploratory factor analysis (EFA) was conducted across 20 self-report suicide items selected to index SI and SB from several suicide-relevant questionnaires. EFA results produced 2 factors, corresponding to SI and SB. Time-frequency principal component analyses produced measures across all frequency bands (i.e., delta-FN/P3, delta-SW, theta-FN, alpha, beta-1, beta-2, and gamma).ResultsExcepting alpha amplitude, all measured frequencies were related to SB, and not SI (across loss and gain, with some loss-gain differences). Alpha, uniquely, showed a relationship to SI and not to SB (across loss and gain, no loss-gain differences). Robust regressions confirmed that the delta, theta, and high-frequency (HF; beta-1, beta-2, and gamma as combined HF loss, gain, and loss-gain difference factors) measures were each independently related to SB.DiscussionBroadly, the results indicate that individuals with SB showed heightened neurophysiological response across multiple ERP components (except alpha) to gambling feedback, with significantly greater increases to loss stimuli relative to gain stimuli.General Scientific SummaryThis study, using time-frequency EEG/ERP measures from a gambling feedback task, supports the theoretical framework that suicidal behavior and suicidal ideation can be indexed separately. Generally, stronger reactivity to all feedback (i.e., loss and gain feedback during a gambling task) is seen in those with suicidal behavior and not in those with suicidal ideation, but with a small separate effect related to suicidal ideation.

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“…Theta rhythms increase in amplitude with signals of novelty (Harper et al, 2017 ), negative feedback (Ellis et al, 2018 ), conflict (Cohen & Donner, 2013 ; Neo et al, 2011 ; Pinner & Cavanagh, 2017 ) and error (Cohen, 2011 ; Pasion & Barbosa, 2019 ; Yeung et al, 2004 ; Zavala et al, 2016 ). These different activations may reflect a fundamental control process that is generally required when internal or external goals are changing, and require attention and monitoring (Cohen, 2014 ; McLoughlin et al, 2021 ).…”

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confidence: 99%

Midfrontal theta reactivity to conflict and error are linked to externalizing and internalizing respectively

Neo,

Shadli,

McNaughton

et al. 2024

Personality Neuroscience

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Dimensional psychopathology scores measure symptom severity; cutting across disorder categories. Their clinical utility is high given comorbidity, but their neural basis is unclear. We used scalp electroencephalography (EEG) to concurrently assess neural activity across internalizing and externalizing traits. “Theta rhythm” (4–7 Hz) spectral power at the frontal midline site Fz in specific goal conflict and action error phases within a trial of a Stop-Signal Task was extracted using process-specific contrasts. A final sample of 146 community participants (63 males, 83 females; mean age = 36; SD = 9; range = 18 – 56), oversampled for externalizing disorder (49% diagnosed with a DSM-5 externalizing disorder), also supplied psychopathology and personality data. We used the Minnesota Multiphasic Personality Inventory−3 (MMPI-3) to measure symptoms and traits of psychopathology. An MMPI-3 measure of the higher-order internalizing psychopathology spectrum was positively correlated with action error theta. An MMPI-3 measure of the higher-order spectrum of externalizing psychopathology was negatively correlated with goal-conflict theta. We showed that goal-conflict and error theta activity are higher-order processes that index psychopathology severity. The associations extend into the nominally healthy range, and so reflect theta-related factors that apply to the general population as well as patients with sub-threshold diagnoses.

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Anxiety and feedback processing in a gambling task: Contributions of time-frequency theta and delta

Cited by 4 publications

References 69 publications

Sequential gains and losses during gambling feedback: Differential effects in time‐frequency delta and theta measures

Sequential gains and losses during gambling feedback: Differential effects in time‐frequency delta and theta measures

Feedback Processing as it Relates to Suicidal Ideation and Behavior Using a Time-Frequency Approach

Midfrontal theta reactivity to conflict and error are linked to externalizing and internalizing respectively

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