Resting-state EEG power predicts conflict-related brain activity in internally guided but not in externally guided decision-making

Nakao, Takashi; Bai, Yu; Nashiwa, Hitomi; Northoff, Georg

doi:10.1016/j.neuroimage.2012.10.034

Cited by 72 publications

(69 citation statements)

References 90 publications

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“…At Step 1, the model reduced the prediction error of RT by a moderate amount both at the level of the trial (Level 1), R 2 Level 1 = .15, and at the level of the participant (Level 2), R 2 Level 2 = .20. Consistent with previous studies using the occupational choice task (Nakao et al, 2013;Nakao, Mitsumoto, et al, 2010;Nakao, Takezawa, et al, 2009), and indicative of a successful experimental manipulation, the C1 contrast term at Step 1 revealed that participants had longer RTs in the high-relative to low-conflict conditions, on average taking 357.50 ms longer to respond to trials in the highconflict conditions. Consistent with the results of Di Domenico et al (2013) and with previous research suggesting that avoidance-avoidance conflicts are more difficult to resolve than approach-approach conflicts, the C2 contrast term at Step 1 revealed that participants had longer RTs in the AVD condition relative to the APP condition, on average taking 259.73 ms longer to respond to trials in the AVD condition.…”

Section: Behavioral Analysessupporting

confidence: 87%

“…Such a result would be consistent with the idea that need fulfillment increases people's receptivity to and processing of events that challenge their abilities to make efficient, self-congruent choices (Deci & Ryan, 1985;Ryan et al, 1997;Weinstein et al, 2013). In the present study, we tested these hypotheses using an elaborated version the occupational choice paradigm (Di Domenico et al, 2013;Nakao et al, 2013;Nakao, Mitsumoto, et al, 2010;Nakao, Takezawa, et al, 2009).…”

supporting

confidence: 79%

“…Following best practice recommendations (Luck & Gaspelin, in press), the measurement window and electrode sites used in the present study were determined a priori on the basis of previous CN studies (Nakao et al, 2013;Nakao, Mitsumoto, et al, 2010;Nakao, Takezawa, et al, 2009). The CN was defined as the mean amplitude between 0 ms and 60 ms following the participant's response.…”

Section: Neurophysiological Recording Protocolmentioning

confidence: 99%

“…We propose that need fulfillment amplifies people's neurophysiological responsiveness to decisional conflicts that call for the revision of old self-knowledge representations or the development of new self-knowledge representations in the service of more efficient, self-congruent choices. We hypothesize that this enhanced neurophysiological responsiveness to decision-making conflicts is evidenced by the amplitude of conflict negativity (CN), a negative deflection on electroencephalography (EEG) that occurs immediately after behavioral selections in forced-choice scenarios (Nakao, Bai, Nashiwa, & Northoff, 2013;Nakao, Mitsumoto, et al, 2010;Nakao, Takezawa, Shiraishi, & Miyatani, 2009). …”

mentioning

confidence: 99%

“…Indeed, in previous studies using occupational choice paradigms, Nakao and colleagues measured the degree of conflict in the moments of choice selection with the amplitude of the conflict negativity (CN), a pronounced negative deflection on EEG that appears within 60 ms of making a behavioral selection (Nakao, Bai, Nashiwa, & Northoff, 2013;Nakao, Mitsumoto, et al, 2010;Nakao, Takezawa, Shiraishi, & Miyatani, 2009). The CN is believed to be generated by a conflict-monitoring system in the anterior cingulate cortex (ACC), a Bcortical alarm bell^that signals the need for stronger top-down inputs to more efficiently guide decision making (Nakao, Ohira, & Northoff, 2012;Nakao, Osumi et al, 2010; also see Hirsh et al, 2012).…”

mentioning

confidence: 99%

See 4 more Smart Citations

Basic psychological needs and neurophysiological responsiveness to decisional conflict: an event-related potential study of integrative self processes

Domenico

Liu

et al. 2016

Cogn Affect Behav Neurosci

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Fulfillment of the basic psychological needs for competence, relatedness, and autonomy is believed to facilitate people's integrative tendencies to process psychological conflicts and develop a coherent sense of self. The present study therefore used event-related potentials (ERPs) to examine the relation between need fulfillment and the amplitude of conflict negativity (CN), a neurophysiological measure of conflict during personal decision making. Participants completed a decision-making task in which they made a series of forced choices according to their personal preferences. Three types of decision-making situations were created on the basis of participants' unique preference ratings, which were obtained prior to ERP recording: low-conflict situations (choosing between an attractive and an unattractive option), highconflict approach-approach situations (choosing between two similarly attractive options), and high-conflict avoidance-avoidance situations (choosing between two similarly unattractive options). As expected, CN amplitudes were larger in high-relative to low-conflict situations, and source localization analyses suggested that the anterior cingulate cortex was the generating structure of the CN. Most importantly, people reporting higher need fulfillment exhibited larger CN amplitudes in avoidance-avoidance situations relative to lowconflict situations; to a lesser extent, they also exhibited larger CN amplitudes in approach-approach situations relative to low-conflict situations. By contrast, people reporting lower need fulfillment exhibited CN amplitudes that poorly discriminated the three decision situations. These results suggest that need fulfillment may promote self-coherent functioning by increasing people's receptivity to and processing of events that challenge their abilities to make efficient, self-congruent choices.

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Section: Behavioral Analysessupporting

confidence: 87%

supporting

confidence: 79%

Section: Neurophysiological Recording Protocolmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Basic psychological needs and neurophysiological responsiveness to decisional conflict: an event-related potential study of integrative self processes

Domenico

Liu

et al. 2016

Cogn Affect Behav Neurosci

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Prediction of dispositional dialectical thinking from resting‐state electroencephalography

et al. 2021

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This study aims to explore the possibility of predicting the dispositional level of dialectical thinking using resting-state electroencephalography signals. Thirty-four participants completed a self-reported measure of dialectical thinking, and their resting-state electroencephalography was recorded. After wave filtration and eye movement removal, time-frequency electroencephalography signals were converted into four frequency domains: delta (1-4 Hz), theta (4-7 Hz), alpha (7-13 Hz), and beta (13-30 Hz). Functional principal component analysis with B-spline approximation was then applied for feature reduction. Five machine learning methods (support vector regression, least absolute shrinkage and selection operator, K-nearest neighbors, random forest, and gradient boosting decision tree) were applied to the reduced features for prediction. The model ensemble technique was used to create the best performing final model. The results showed that the alpha wave of the electroencephalography signal in the early period (12-15 s) contributed most to the prediction of dialectical thinking. With data-driven electrode selection (FC1, FCz, Fz, FC3, Cz, AFz), the prediction model achieved an average coefficient of determination of 0.45 on 200 random test sets. Furthermore, a significant positive correlation was found between the alpha value of standardized low-resolution electromagnetic tomography activity in the right dorsal anterior cingulate cortex and dialectical self-scale score. The prefrontal and midline alpha oscillations of resting electroencephalography are good predictors of the dispositional level of dialectical thinking, possibly reflecting these brain structures' involvement in dialectical thinking.

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Machine learning‐based classifying of risk‐takers and risk‐aversive individuals using resting‐state EEG data: A pilot feasibility study

et al. 2023

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BackgroundDecision‐making is vital in interpersonal interactions and a country's economic and political conditions. People, especially managers, have to make decisions in different risky situations. There has been a growing interest in identifying managers’ personality traits (i.e., risk‐taking or risk‐averse) in recent years. Although there are findings of signal decision‐making and brain activity, the implementation of an intelligent brain‐based technique to predict risk‐averse and risk‐taking managers is still in doubt.MethodsThis study proposes an electroencephalogram (EEG)‐based intelligent system to distinguish risk‐taking managers from risk‐averse ones by recording the EEG signals from 30 managers. In particular, wavelet transform, a time‐frequency domain analysis method, was used on resting‐state EEG data to extract statistical features. Then, a two‐step statistical wrapper algorithm was used to select the appropriate features. The support vector machine classifier, a supervised learning method, was used to classify two groups of managers using chosen features.ResultsIntersubject predictive performance could classify two groups of managers with 74.42% accuracy, 76.16% sensitivity, 72.32% specificity, and 75% F1‐measure, indicating that machine learning (ML) models can distinguish between risk‐taking and risk‐averse managers using the features extracted from the alpha frequency band in 10 s analysis window size.ConclusionsThe findings of this study demonstrate the potential of using intelligent (ML‐based) systems in distinguish between risk‐taking and risk‐averse managers using biological signals.

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Resting-state EEG power predicts conflict-related brain activity in internally guided but not in externally guided decision-making

Cited by 72 publications

References 90 publications

Basic psychological needs and neurophysiological responsiveness to decisional conflict: an event-related potential study of integrative self processes

Basic psychological needs and neurophysiological responsiveness to decisional conflict: an event-related potential study of integrative self processes

Prediction of dispositional dialectical thinking from resting‐state electroencephalography

Machine learning‐based classifying of risk‐takers and risk‐aversive individuals using resting‐state EEG data: A pilot feasibility study

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