Resting state EEG delta–beta coherence in relation to anxiety, behavioral inhibition, and selective attentional processing of threatening stimuli

Putman, Peter

doi:10.1016/j.ijpsycho.2011.01.011

Cited by 119 publications

(112 citation statements)

References 44 publications

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“…Also, a positive correlation has been found between cortisol levels and delta-beta coherence [6]. Another interesting finding on delta-beta coherence was reported by Putman [7]. Participants in his study completed questionnaires relating to anxiety and risk avoidance.…”

Section: Introductionmentioning

confidence: 57%

In-vivo EEG Changes During A Panic Attack in A Patient With Specific Phobia

Engelbregt¹

2012

J Med Cases

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Since early adolescence a 47-year-old male suffers from specific phobia with panic disorder (PD) which is similar to agoraphobia. The panic starts when he crosses the borders of his domicile, regardless of the type of transport. On request of client and his GP, we recorded his EEG during a car trip from his house to a distant village. We aimed to explore underlying EEG changes that may accompany the initiation and the progression of his panic attacks. The panic attack took place during the car-ride where we detected an increase of frontal beta (β) activity (13-26 Hz) and a relatively sudden decrease of frontal-central theta (θ) activity (3-6 Hz). These findings suggest that EEG recordings can be useful to monitor the beginning and the end of a panic attack and may determine the exact EEG changes that initiate a panic attack.

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Section: Introductionmentioning

confidence: 57%

In-vivo EEG Changes During A Panic Attack in A Patient With Specific Phobia

Engelbregt¹

2012

J Med Cases

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“…Regarding our main aim, surprisingly, none of the expected associations appeared, since neither theta/beta ratio nor deltabeta coupling was significantly associated with state performance-based AC (i.e., executive control network functioning). In this sense, it should be stressed that in the present study, unlike in previous studies that have used emotional stimuli (Putman, 2011;Putman et al, 2012;Putman et al, 2010), the functioning of the attentional executive control network was assessed by means of an attentional task that included only neutral (i.e., non-emotionally-laden) stimuli, without any kind of emotional induction. As we commented, there has been considerable controversy regarding whether the executive control deficits associated with trait anxiety might emerge regardless of the emotional value of the stimuli or, conversely, whether they exclusively arise when facing emotional stimuli (e.g., Bishop, 2009;Cohen et al, 2014;De Lissnyder et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

“…Several studies have reported relationships between these spontaneous EEG spectrum parameters and attentional phenomena such as inhibitory control functioning and attentional bias to threat (e.g., Putman, 2011;Putman et al, 2012;Putman, van Peer, Maimari, & van der Werff, 2010). Putman et al (2010) reported that the theta/beta ratio at bilateral frontal sites was inversely correlated with fearful modulation of response inhibition in an emotional go/no-go task (i.e., inhibitory control functioning) and with self-reported attentional control (AC).…”

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confidence: 99%

“…Regarding coupling measures, spontaneous reduced frontal delta-beta coupling has been associated with anxiety-related disorders such as obsessive-compulsive disorder (Velikova et al, 2010) and trait anxiety (Putman et al, 2012), and also with increased attentional avoidance of threat (Putman, 2011) and higher interference effects during an emotional Stroop task (Putman et al, 2012). By contrast, SW-FW coupling measures have not been found to be significantly related to self-reported AC (Putman et al, 2012), even though these researchers did expect to find a positive relationship between delta-beta coupling and self-reported AC.…”

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confidence: 99%

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Spontaneous EEG theta/beta ratio and delta–beta coupling in relation to attentional network functioning and self-reported attentional control

Morillas-Romero

Tortella-Feliu

Bornas

et al. 2015

Cogn Affect Behav Neurosci

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Relationships between electroencephalographic (EEG) slow-and fast-wave frequency bands are considered to be of interest in the study of dispositional affective traits, emotion regulation, and attentional phenomena. However, to date, no previous studies had explored whether both state performance-based and self-reported attentional control (AC) measures potentially relate to different patterns of spontaneous EEG measures, in the absence of emotional stimuli. In the present study, individual differences in spontaneous EEG theta/beta ratio and delta-beta coupling at frontal and parietal sites were explored in a sample of 110 healthy volunteers as potential correlates of individual differences in performancebased attentional network functioning, as measured through the Attentional Network Test for Interactions (ANT-I) and self-reported AC. We found that stronger delta-beta coupling at parietal sites was associated with higher self-reported AC. However, no significant associations were found between executive control network functioning and the EEG ratio or coupling measures. Furthermore, a lower spontaneous frontoparietal theta/beta ratio was found to be associated with better orienting network functioning. These results are discussed with a focus on the potential utility of spontaneous EEG measures in several cortical regions for capturing trait-like individual differences in temperament-related factors.Keywords Spontaneous EEG . Theta/beta ratio . Delta-beta coupling . Attentional network functioning . Attentional control Relationships between spontaneous electroencephalographic (EEG) slow-wave (SW; i.e., the theta 4-7 Hz, delta 1-3 Hz bands) and fast-wave (FW; i.e., the beta 13-30 Hz band) frequency band activity may reflect the cortical-subcortical interactions involved in affective processes (Knyazev, 2007) and are considered to be of interest in the study of emotional states, dispositional affective traits, emotion regulation, and related processes and capabilities (e.g., Arns, Conners, & Kraemer, 2013;Massar, Kenemans, & Schutter, 2014;Putman, Arias-Garcia, Pantazi, & van Schie, 2012;Schutter & Knyazev, 2012;Schutter & Van Honk, 2005a;van Peer, Roelofs, & Spinhoven, 2008;Velikova et al., 2010).Two often-used EEG indices are the SW/FW ratio and SW-FW coupling. The SW/FW ratio results from dividing the SW power density (i.e., theta) by the FW power density (i.e., beta) for each individual participant's EEG recording at a selected brain site or selected sites, with higher ratio scores reflecting relatively more SW than FW power. It has been postulated that a relative predominance of SW over FW power may reflect reduced cortical control function over subcortical drives related to motivational imbalances (Schutter & Van Honk, 2005a). On the other hand, SW-FW coupling (usually delta-beta coupling) is operationalized as the positive correlation between SW and FW in a selected sample, which usually compares samples that have scored high or low on a criterion variable (e.g., trait anxiety; see Putman et al., ...

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“…Some studies did not find a difference in attentional biases for a presentation of 100 and 500 ms (Koster et al, 2005;Mingtian, Xiongzhao, Jinyao, Shuqiao, & Atchley, 2011). Another study found a bias toward threat at a presentation time of 500 ms, yet no bias was found for subliminal presentation of the stimulus material (Putman, 2011).…”

Section: Methodsmentioning

confidence: 97%

The dot-probe task to measure emotional attention: A suitable measure in comparative studies?

2017

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For social animals, attending to and recognizing the emotional expressions of other individuals is of crucial importance for their survival and likely has a deep evolutionary origin. Gaining insight into how emotional expressions evolved as adaptations over the course of evolution can be achieved by making direct cross-species comparisons. To that extent, experimental paradigms that are suitable for investigating emotional processing across species need to be developed and evaluated. The emotional dot-probe task, which measures attention allocation toward emotional stimuli, has this potential. The task is implicit, and subjects need minimal training to perform the task successfully. Findings in nonhuman primates, although scarce, show that they, like humans, have an attentional bias toward emotional stimuli. However, the wide literature on human studies has shown that different factors can have important moderating effects on the results. Due to the large heterogeneity of this literature, these moderating effects often remain unnoticed. We here review this literature and show that subject characteristics and differences in experimental designs affect the results of the dot-probe task. We conclude with specific recommendations regarding these issues that are particularly relevant to take into consideration when applying this paradigm to study animals.

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Resting state EEG delta–beta coherence in relation to anxiety, behavioral inhibition, and selective attentional processing of threatening stimuli

Cited by 119 publications

References 44 publications

In-vivo EEG Changes During A Panic Attack in A Patient With Specific Phobia

In-vivo EEG Changes During A Panic Attack in A Patient With Specific Phobia

Spontaneous EEG theta/beta ratio and delta–beta coupling in relation to attentional network functioning and self-reported attentional control

The dot-probe task to measure emotional attention: A suitable measure in comparative studies?

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