EEG and Autonomic Responses During Performance of Matching and Non-Matching to Sample Working Memory Tasks with Emotional Content

Garcia, Ana; Uribe, Carlos Enrique; Tavares, Maria Clotilde Henriques; Tomaz, Carlos

doi:10.3389/fnbeh.2011.00082

Cited by 21 publications

(32 citation statements)

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“…Processing of emotionally laden memories has been associated with unique neural (Ritchey et al, 2011) and autonomic nervous system responses (Buchanan and Lovallo, 2001;Cahill and McGaugh, 1998;Garcia et al, 2011;Schwabe et al, 2008). These distinct brain and body responses to emotional stimuli result, at least in part, from the plicit memory).…”

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confidence: 99%

Memory for Emotional Picture Cues During Acute Alcohol Intoxication

Ray

Mun

Buckman

et al. 2012

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Memory affects behavior by allowing events to be anticipated and goals to be planned based on previous experiences. Emotional memory, in particular, is thought to play a central role in behavior in general and in drinking behavior in particular. Alcohol intoxication has been shown to disrupt intentional, conscious memory, but not unintentional, implicit memory for neutral stimuli; however, its effects on emotional memory are not well understood. This study examined whether alcohol intoxication affected memory for emotionally valenced stimuli by testing explicit recall and implicit repetition priming of emotional picture cues. Method: Participants were 36 young adults (21-24 years old, 16 women) who received an alcohol, placebo, or noalcohol beverage. Both cue exposure and memory testing occurred after beverage consumption (i.e., during intoxication for the alcohol group). Results: Alcohol intoxication impaired explicit recall of all cue types but did not impair implicit repetition priming. Emotionally negative and positive cues were more often recalled compared with neutral cues across all beverage groups, and emotionally negative cues demonstrated more priming than emotionally positive or neutral cues in all beverage groups. Conclusions: Alcohol intoxication disrupted effortful recall of all cues, although the relative memory advantage of emotionally valenced overneutral stimuli remained even after drinking. The effects of alcohol on unintentional memory priming were not statistically signifi cant, but the effects of emotionally negative cues were. Further research is needed to better understand alcohol intoxication and emotional valence effects on memory processes during implicit memory tasks and the possibility that negative mood facilitates memory priming of negative emotional stimuli. (J. Stud. Alcohol Drugs, 73, 718-725, 2012)

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confidence: 99%

Memory for Emotional Picture Cues During Acute Alcohol Intoxication

Ray

Mun

Buckman

et al. 2012

J. Stud. Alcohol Drugs

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“…This behavioral response is also referred to as event-related desynchronization because it is seen in response to various tasks and is therefore likely to be a reflection of cerebral cortical activation or cortical excitation [8]. Alpha waves are thought to represent the brain's default mode network, optimized under eyes-closed conditions [9,10]. Frontal alpha coherence appears to reflect the amount of task-related vigilance and attention [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Alpha waves are thought to represent the brain's default mode network, optimized under eyes-closed conditions [9,10]. Frontal alpha coherence appears to reflect the amount of task-related vigilance and attention [9,10]. Beta waves increase under eyes-open conditions, and frontal beta coherence seems to indicate the degree of mental effort involved in performing problem-solving tasks [10,11].…”

Section: Introductionmentioning

confidence: 99%

Associations of Alpha and Beta Interhemispheric EEG Coherences with Indices of Attentional Control and Academic Performance

Gorantla

Tedesco

Chandanathil

et al. 2020

Behavioural Neurology

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Introduction. Heretofore, research on optimizing academic performance has suffered from an inability to translate what is known about an individual’s learning behaviors to how effectively they are able to use the critical nodes and hubs in their cerebral cortex for learning. A previous study from our laboratory suggests that lower theta-beta ratios (TBRs) measured by EEG may be associated with higher academic performance in a medical school curriculum. Methods. In this study, we tested the hypothesis that TBR and academic performance may be correlated with EEG coherence, a measure of brain connectivity. We analyzed the interhemispheric coherences of the subjects involved in our prior study. TBR and coherence measurements were made at 19 scalp electrode recording sites and 171 electrode combinations with eyes open and closed (EO, EC). Control data were acquired during a session of acclimation to the research protocol 3 d before an initial examination in anatomy-physiology (control exam) and were repeated five weeks later, 3 d before a second exam covering different anatomy-physiology topics (comparison exam). Results. Between the control and comparison exams, beta coherences increased significantly at the frontal pole, frontal, parietal, midtemporal, posterior temporal, and occipital recording sites under the EO condition and at the inferior frontal, central, midtemporal, and posterior temporal sites under the EC condition. Alpha coherences increased significantly at the same sites and under the same EO/EC conditions as found for the beta coherences. The beta coherences were negatively correlated with the TBR and were positively correlated with the comparison exam score at the midfrontal electrode site (F3-F4) but only under the EO condition. Beta and alpha coherences at the midfrontal, inferior frontal midtemporal, posterior temporal, and occipital sites were also negatively correlated with the average TBR under the EO condition. Conclusions. Lower TBR, an indicator of attentional control, was associated with higher alpha and beta interhemispheric coherences measured with eyes open at sites overlying the frontal, temporal, and occipital cortices. Changes in EEG coherences and TBRs might be useful as neurophysiological measures of neuroplasticity and the efficacy of strategies for preventing academic underachievement and treatments for improving academic performance.

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“…It is also believed that HRV increases after switching on the cognitive mechanisms of self regulation during adaptation, for example, to normobaric hypoxia [14], but decreases in such states as attention deficit [15], the use of anabolic steroids by athletes [16], and in depression [17,18]. It is important to note that the vector of changes in HRV depends on the emotional assessment of the cognitive activities performed [19] and the presence or absence of a feedback on the results [12]. Taking information on the practical use of HRV indices in clinical practice [20] and the data presented in the review by Reynard [21] as a basis, we can conclude that HRV may serve as an indicator of autonomic self regulation of cognitive and emotional processes.…”

Section: Introductionmentioning

confidence: 99%

Effect of voluntary EEG α power increase training on heart rate variability

Bazanova

Балиоз²,

Муравлева

et al. 2013

Hum Physiol

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The following objectives were set out to study the effect of EEG α power increase training on the heart rate variability (HRV) as an index of the autonomic regulation of cognitive functions: (1) to establish the interrelation between a voluntary increase in the α power in the individual upper α band and the HRV and related characteristics of cognitive and emotional spheres; (2) to determine the nature of the relationship between the α activity indices and HRV depending on the resting α frequency EEG pattern; and (3) to study how the individual α frequency EEG pattern is reflected in the HRV changes as a result of biofeedback training. Psychometric indices of cognitive performance and the characteristics of EEG α activity and HRV were recorded in 27 healthy men 18-34 years of age before, during, and after ten training sessions of a voluntary increase in α power in the individual upper α band with the eyes closed. To determine the biofeedback effect in the α power increase training, the data of two groups were compared: the experimental, with a real biofeed back (14 subjects), and the control, with a sham biofeedback (13 subjects). The follow up effect of the train ing was assessed one month after its end. The results showed that α biofeedback training increased the resting α frequency, improved cognitive perfor mance, reduced psychoemotional stress, and increased HRV only in the subjects with a low baseline α fre quency. In the subjects with a high baseline resting α frequency, the α biofeedback training had no effect on the resting α power and cognitive performance but reduced the HRV (judging by the pNN 50 parameter). The positive correlation between the α peak frequency and HRV in subjects with initially low α frequency and the negative correlation in the subjects with a high baseline α frequency explains the opposite biofeedback effects on HRV in subjects with low and high α frequency. From the theoretical standpoint, the results of this study contribute to understanding the mechanisms of heart-brain neurovisceral relationships and their effect on the cognitive performance. From the applied standpoint, they suggest that EEG biofeedback can be used for improving autonomic regulation in healthy subjects and the development of individual approaches to the development of the biofeedback technology, which can be used both in clinical practice for treatment and rehabilitation of psychosomatic syndromes and in educational training.

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EEG and Autonomic Responses During Performance of Matching and Non-Matching to Sample Working Memory Tasks with Emotional Content

Cited by 21 publications

References 71 publications

Memory for Emotional Picture Cues During Acute Alcohol Intoxication

Memory for Emotional Picture Cues During Acute Alcohol Intoxication

Associations of Alpha and Beta Interhemispheric EEG Coherences with Indices of Attentional Control and Academic Performance

Effect of voluntary EEG α power increase training on heart rate variability

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