Effects of anxiety and attention control on processing pictorial and linguistic emotional information

Reinholdt-Dunne, Marie Louise; Mogg, Karin; Bradley, Brendan P.

doi:10.1016/j.brat.2009.01.012

Cited by 108 publications

(88 citation statements)

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“…Some chapters present recent evidence that effortful or attentional control in adults (Derryberry and Reed, 2002;Reinholdt-Dunne, Mogg and Bradley, 2009) and children (Lonigan and Vasey, 2009) moderate the development of information processing biases. In other words, the association between biases for threat and anxiety is most clear when individuals also show poor attentional or effortful control.…”

Section: Information Processing Biases In Childhood Anxiety: Theoretimentioning

confidence: 99%

An Introduction to the Study of Information Processing Biases in Childhood Anxiety: Theoretical and Methodological Issues

Hadwin

Field

2010

Information Processing Biases and Anxiety

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Section: Information Processing Biases In Childhood Anxiety: Theoretimentioning

confidence: 99%

An Introduction to the Study of Information Processing Biases in Childhood Anxiety: Theoretical and Methodological Issues

Hadwin

Field

2010

Information Processing Biases and Anxiety

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“…Although, in overall terms, AC has been equated with executive functioning (e.g., Derryberry & Reed, 2002;Eysenck et al, 2007), research has reported inconsistent results when analyzing the relationships between state performance-based AC measures (i.e., state AC) and trait self-reported AC (e.g., Muris, van der Heiden, & Rassin, 2008;Pacheco-Unguetti, Acosta, Marqués, & Lupiáñez, 2011;Reinholdt-Dunne, Mogg, & Bradley, 2009;Reinholdt-Dunne, Mogg, & Bradley, 2013). Some authors have speculated that self-reported AC is akin to perceived AC and not a Btrue^reflection of attentional capabilities, because high negative affectivity could determine individuals' perceptions of their impaired attentional capabilities, beyond any actual impairment .…”

mentioning

confidence: 99%

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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“…Although enhanced processing of or interference from threat-related stimuli may be automatic, these effects can be reduced through effortful top-down control processes (Derryberry & Reed, 2002;Mathews et al, 2004;Reinholdt-Dunne, Mogg, & Bradley, 2009). However, anxiety may be associated with less activation in the rACC during emotional tasks (Bishop et al, 2004;Etkin & Wager, 2007;Mathews et al, 2004;Shin et al, 2001).…”

mentioning

confidence: 99%

Adding fear to conflict: A general purpose cognitive control network is modulated by trait anxiety

Krug

Carter

2010

Cognitive, Affective, & Behavioral Neuroscience

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Cognitive control forms a foundation for higher cognitive functions such as attention, memory retrieval, and language production and comprehension. Cognitive control allows us to coordinate or direct lower level or more automatic processes to ensure that our resulting actions will be in line with our goals and to successfully perform difficult tasks, even in the face of distraction. While the behavioral and neural mechanisms of cognitive control are well characterized, a growing body of literature regarding the influence of emotional states and emotional stimuli on performance of goal-related behaviors and neural activity has yielded discrepant results. Conflict and Control in Nonemotional TasksOne particular function of cognitive control is the selection of a correct response from competing responses. In the color-word Stroop task, subjects are required to name the color in which a color word is displayed (Stroop, 1935). On congruent trials, the color and meaning of the word are the same (e.g., the word blue written in blue). Responses on these trials are generally quick and accurate. On incongruent trials, the color and the meaning of the word are not the same (e.g., the word blue written in red). Performance is slower and less accurate on incongruent trials because of the presence of conflict. During these types of trials, cognitive control is needed for the subject to respond with the correct color-naming response ("red") as opposed to the incorrect and conflicting automatic word-reading response ("blue").Behavioral studies have shown that responses to incongruent trials preceded by another incongruent trial (iI trials) are considerably faster and more accurate than responses to incongruent trials preceded by a congruent trial (cI trials; Gratton, Coles, & Donchin, 1992). Performance on iI trials is improved because of a strengthening of selection for action or control. On cI trials, performance is poor, because control is not yet implemented and levels of conflict are high.In an event-related fMRI study of the color-word Stroop task, Kerns et al. (2004) found that a fast iI trial was associated with high dorsolateral prefrontal cortex (DLPFC) activity and high dorsol anterior cingulate cortex (dACC) activity on the preceding incongruent (cI) trial. This study helped establish the role of the dACC as the conflict monitor and the role of a separate and distinct area, the DLPFC, in subsequent cognitive control. These results have since been replicated in several neuroimaging studies (Egner, Etkin, Gale, & Hirsch, 2008;Egner & Hirsch, 2005;Kerns, 2006), and Egner and Hirsch (2005) later showed that DLPFC improves task performance by enhancing processing of the task-relevant stimulus dimension. Conflict and Control in Emotional TasksThe results described above account for the cognitive and neural underpinnings of conflict detection and subsequent control-related adjustments during cognitive tasks. However, in real-world situations, we must con- 357© 2010 The Psychonomic Society, Inc.Adding fear to conflict: A ge...

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Effects of anxiety and attention control on processing pictorial and linguistic emotional information

Cited by 108 publications

References 34 publications

An Introduction to the Study of Information Processing Biases in Childhood Anxiety: Theoretical and Methodological Issues

An Introduction to the Study of Information Processing Biases in Childhood Anxiety: Theoretical and Methodological Issues

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

Adding fear to conflict: A general purpose cognitive control network is modulated by trait anxiety

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