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Reward expectation modulates feedbackrelated negativity and EEG spectra
- NeuroImage
, 2007
"... The ability to evaluate outcomes of previous decisions is critical to adaptive decision-making. The feedback-related negativity (FRN) is an eventrelated potential (ERP) modulation that distinguishes losses from wins, but little is known about the effects of outcome probability on these ERP responses ..."
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Cited by 48 (7 self)
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The ability to evaluate outcomes of previous decisions is critical to adaptive decision-making. The feedback-related negativity (FRN) is an eventrelated potential (ERP) modulation that distinguishes losses from wins, but little is known about the effects of outcome probability on these ERP responses. Further, little is known about the frequency characteristics of feedback processing, for example, event-related oscillations and phase synchronizations. Here, we report an EEG experiment designed to address these issues. Subjects engaged in a probabilistic reinforcement learning task in which we manipulated, across blocks, the probability of winning and losing to each of two possible decision options. Behaviorally, all subjects quickly adapted their decision-making to maximize rewards. ERP analyses revealed that the probability of reward modulated neural responses to wins, but not to losses. This was seen both acrossblocksaswellaswithinblocks,as learning progressed. Frequency decomposition via complex wavelets revealed that EEG responses to losses, compared to wins, were associated with enhanced power and phase coherence in the theta frequency band. As in the ERP analyses, power and phase coherence values following wins but not losses were modulated by reward probability. Some findings between ERP and frequency analyses diverged, suggesting that these analytic approaches provide complementary insights into neural processing. These findings suggest that the neural mechanisms of feedback processing may differ between wins and losses.
Music and emotion: Electrophysiological correlates of the processing of pleasant and unpleasant music
"... Human emotion and its electrophysiological correlates are still poorly understood. The present study examined whether the valence of perceived emotions would differentially influence EEG power spectra and heart rate (HR). Pleasant and unpleasant emotions were induced by consonant and dissonant music ..."
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Cited by 37 (4 self)
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Human emotion and its electrophysiological correlates are still poorly understood. The present study examined whether the valence of perceived emotions would differentially influence EEG power spectra and heart rate (HR). Pleasant and unpleasant emotions were induced by consonant and dissonant music. Unpleasant (compared to pleasant) music evoked a significant decrease of HR, replicating the pattern of HR responses previously described for the processing of emotional pictures, sounds, and films. In the EEG, pleasant (contrasted to unpleasant) music was associated with an increase of frontal midline (Fm) theta power. This effect is taken to reflect emotional processing in close interaction with attentional functions. These findings show that Fm theta is modulated by emotion more strongly than previously believed. Descriptors: Emotion, Music, Dissonance, EEG, Fm theta, Heart rate During the past 15 years, numerous imaging studies have provided considerable insights into the neural basis of pleasant and unpleasant emotions (e.g., Dalgleish, 2004; Davidson & Irwin, 1999; Phan, Wager, Taylor, & Liberzon, 2002). On the other hand, electrophysiological correlates of pleasant emotions remain
under review
"... Establish a collaborative production-procurement system with contract portfolio approach ..."
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Cited by 18 (1 self)
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Establish a collaborative production-procurement system with contract portfolio approach
Oscillatory activity and phase–amplitude coupling in the human medial frontal cortex during decision making
- J. Cogn. Neurosci
, 2009
"... & Electroencephalogram oscillations recorded both within and over the medial frontal cortex have been linked to a range of cognitive functions, including positive and negative feedback processing. Medial frontal oscillatory characteristics during decision making remain largely unknown. Here, we ..."
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Cited by 12 (1 self)
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& Electroencephalogram oscillations recorded both within and over the medial frontal cortex have been linked to a range of cognitive functions, including positive and negative feedback processing. Medial frontal oscillatory characteristics during decision making remain largely unknown. Here, we examined oscillatory activity of the human medial frontal cortex recorded while subjects played a competitive decision-making game. Distinct patterns of power and cross-trial phase coherence in multiple frequency bands were observed during different decision-related processes (e.g., feedback anticipation vs. feedback processing). Decision and feedback processing were accompanied by a broadband increase in cross-trial phase coherence at around 220 msec, and dynamic fluctuations in power. Feedback anticipation was accompanied by a shift in the power spectrum from relatively lower (delta and theta) to higher (alpha and beta) power. Power and cross-trial phase coherence were greater following losses compared to wins in theta, alpha, and beta frequency bands, but were greater following wins compared to losses in the delta band. Finally, we found that oscillation power in alpha and beta frequency bands were synchronized with the phase of delta and theta oscillations (‘‘phase–amplitude coupling’’). This synchronization differed between losses and wins, suggesting that phase– amplitude coupling might reflect a mechanism of feedback valence coding in the medial frontal cortex. Our findings link medial frontal oscillations to decision making, with relations among activity in different frequency bands suggesting a phaseutilizing coding of feedback valence information. &
The Science of Meditation and the State of Hypnosis.
- American Journal of Clinical Hypnosis
, 2003
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Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns
- PLoS ONE. 2014; 9: e95415. doi: 10.1371/journal.pone.0095415 PMID: 24743695
"... This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns. Forty young participants viewed film clips that evoked the following emotional states: neutral, positive, or negative. Three connectivity indices, including correlation, coherence, and pha ..."
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Cited by 2 (0 self)
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This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns. Forty young participants viewed film clips that evoked the following emotional states: neutral, positive, or negative. Three connectivity indices, including correlation, coherence, and phase synchronization, were used to estimate brain functional connectivity in EEG signals. Following each film clip, participants were asked to report on their subjective affect. The results indicated that the EEG-based functional connectivity change was significantly different among emotional states. Furthermore, the connectivity pattern was detected by pattern classification analysis using Quadratic Discriminant Analysis. The results indicated that the classification rate was better than chance. We conclude that estimating EEG-based functional connectivity provides a useful tool for studying the relationship between brain activity and emotional states.
Metacognitive model of mindfulness
- Consciousness and cognition
, 2014
"... a b s t r a c t Mindfulness training has proven to be an efficacious therapeutic tool for a variety of clinical and nonclinical health problems and a booster of well-being. In this paper we propose a multi-level metacognitive model of mindfulness. We postulate and discuss following hypothesis: (1) ..."
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a b s t r a c t Mindfulness training has proven to be an efficacious therapeutic tool for a variety of clinical and nonclinical health problems and a booster of well-being. In this paper we propose a multi-level metacognitive model of mindfulness. We postulate and discuss following hypothesis: (1) mindfulness is related to the highest level of metacognition; (2) mindfulness depends on dynamic cooperation of three main components of the metacognition (metacognitive knowledge, metacognitive experiences and metacognitive skills); (3) a mindful meta-level is always conscious while the other meta-cognitive processes can occur implicitly; (4) intentionally practiced mindfulness decreases dissociations between awareness and meta-awareness; (5) components of mindful meta-level develop and change during continuous practice. The current model is discussed in the light of empirical data and other theoretical approaches to mindfulness concept. We believe that presented model provides some helpful avenues for future research and theoretical investigations into mindfulness and the mechanisms of its actions.
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"... Abstract—Brain functional networks based on resting-state EEG data were compared between patients with mild Alzheimer’s disease (mAD) and matched patients with amnestic subtype of mild cognitive impairment (aMCI). We integrated the time–frequency cross mutual information (TFCMI) method to estimate t ..."
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Abstract—Brain functional networks based on resting-state EEG data were compared between patients with mild Alzheimer’s disease (mAD) and matched patients with amnestic subtype of mild cognitive impairment (aMCI). We integrated the time–frequency cross mutual information (TFCMI) method to estimate the EEG functional connectivity between cortical regions and the network analysis based on graph theory to further investigate the alterations of functional networks in mAD compared with aMCI group. We aimed at investigating the changes of network integrity, local clustering, information processing efficiency, and fault tolerance in mAD brain networks for different frequency bands based on several topological properties, including degree, strength, clustering coefficient, shortest path length, and efficiency. Results showed that the disruptions of network integrity and reductions of network efficiency in mAD characterized by lower degree, decreased clustering coefficient, higher shortest path length, and reduced global and local efficiencies in the delta, theta, beta2, and gamma bands were evident. The significant changes in network organization can be used in assisting discrimination of mAD from aMCI in clinical. Keywords—EEG, functional connectivity, graph theory, TFCMI.
RESEARCH ARTICLE Effortless Attention as a Biomarker for Experienced Mindfulness Practitioners
"... Objective The present study aimed at comparing frontal beta power between long-term (LTM) and first-time meditators (FTM), before, during and after a meditation session. We hypothesized that LTM would present lower beta power than FTM due to lower effort of attention and awareness. Methods Twenty on ..."
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Objective The present study aimed at comparing frontal beta power between long-term (LTM) and first-time meditators (FTM), before, during and after a meditation session. We hypothesized that LTM would present lower beta power than FTM due to lower effort of attention and awareness. Methods Twenty one participants were recruited, eleven of whom were long-term meditators. The subjects were asked to rest for 4 minutes before and after open monitoring (OM) meditation (40 minutes). Results The two-way ANOVA revealed an interaction between the group and moment factors for
Improvement of Circadian Rhythm of Heart Rate Variability by Eurythmy Therapy Training
"... Background. Impairment of circadian rhythm is associated with various clinical problems. It not only has a negative impact on quality of life but can also be associated with a significantly poorer prognosis. Eurythmy therapy (EYT) is an anthroposophic movement therapy aimed at reducing fatigue symp ..."
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Background. Impairment of circadian rhythm is associated with various clinical problems. It not only has a negative impact on quality of life but can also be associated with a significantly poorer prognosis. Eurythmy therapy (EYT) is an anthroposophic movement therapy aimed at reducing fatigue symptoms and stress levels. Objective. This analysis of healthy subjects was conducted to examine whether the improvement in fatigue symptoms was accompanied by improvements in the circadian rhythm of heart rate variability (HRV). Design. Twenty-three women performed 10 hours of EYT over six weeks. Electrocardiograms (ECGs) were recorded before and after the EYT trial. HRV was quantified by parameters of the frequency and time domains and the nonlinear parameters of symbolic dynamics. Results. The day-night contrast with predominance of vagal activity at night becomes more pronounced after the EYT training, and with decreased Ultralow and very low frequencies, the HRV shows evidence of calmer sleep. During the night, the complexity of the HRV is significantly increased indicated by nonlinear parameters. Conclusion. The analysis of the circadian patterns of cardiophysiological parameters before and after EYT shows significant improvements in HRV in terms of greater day-night contrast caused by an increase of vagal activity and calmer and more complex HRV patterns during sleep.
