A spectralanalytic approach to emotional responses evoked through picture presentation

Huster, René J.; Stevens, S. S.; Gerlach, Alexander L.; Rist, Fred

doi:10.1016/j.ijpsycho.2008.12.009

Cited by 29 publications

(36 citation statements)

References 21 publications

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“…By logical inference, affective perception should therefore generate shifts in state asymmetry. However, complementing earlier studies (Elgavish et al, 2003; Harmon-Jones et al, 2006; Gable and Harmon-Jones, 2008; Huster et al, 2009; Gable and Poole, 2012) the present results raise the troubling possibility that it sometimes does not. To limit the number of possible explanations for that conundrum, we tested if the present null findings could be attributed to insufficient motivational intensity and/or stimulus-dependent individual differences.…”

Section: Discussionsupporting

confidence: 84%

“…The data were collected from a large sample ( n = 70) and are sufficiently lengthy (around 50 s per average) thereby assuring sufficient statistical power and signal to noise ratio, respectively (cf. Huster et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

“…Published (and possibly several unpublished) records exist of failures to find expected state asymmetry effects from EEG responses to affective images (Elgavish et al, 2003; Harmon-Jones et al, 2006; Gable and Harmon-Jones, 2008; Huster et al, 2009; Gable and Poole, 2012). These null findings pose a conceptual challenge to the dominant asymmetry framework.…”

Section: Introductionmentioning

confidence: 99%

“…First of all, the null findings may simply originate from insufficient signal to noise ratio or statistical power. Expected asymmetries have indeed been induced by pictures after assuring sufficient reliability, although at distributed rather than selectively anterior scalp locations (Huster et al, 2009). Among more specific possibilities, affective images may sometimes fall short of activating core affect/biphasic motivation, inducing merely cognitive processes such as stimulus categorization (e.g., Harmon-Jones et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Approach-avoidance activation without anterior asymmetry

et al. 2014

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Occasionally, the expected effects of approach-avoidance motivation on anterior EEG alpha asymmetry fail to emerge, particularly in studies using affective picture stimuli. These null findings have been explained by insufficient motivational intensity of, and/or overshadowing interindividual variability within the responses to emotional pictures. These explanations were systematically tested using data from 70 students watching 5 types of affective pictures ranging from very pleasant to unpleasant. The stimulus categories reliably modulated self-reports as well as the amplitude of late positive potential, an ERP component reflecting orienting toward motivationally significant stimuli. The stimuli did not, however, induce expected asymmetry effects either for the sample or individual participants. Even while systematic stimulus-dependent individual differences emerged in self-reports as well as LPP amplitudes, the asymmetry variability was dominated by stimulus-independent interindividual variability. Taken together with previous findings, these results suggest that under some circumstances anterior asymmetry may not be an inevitable consequence of core affect. Instead, state asymmetry shifts may be overpowered by stable trait asymmetry differences and/or stimulus-independent yet situation-dependent interindividual variability, possibly caused by processes such as emotion regulation or anxious apprehension.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Approach-avoidance activation without anterior asymmetry

et al. 2014

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“…[42,43] The stronger rightward-lateralization of frontal alpha power during positive or approach-related emotions compared to negative or withdrawal-related emotions is believed to originate from the stronger activation of left compared to right prefrontal structures involved in affective processes. Despite fMRI studies (e.g., [70]) suggesting that such simple models of lateralization underestimate the complexity of the human brain, evidence for alpha asymmetry has been found in response to a variety of different induction procedures, using pictures, [71,72] music pieces, [73][74][75] or film excerpts. [76] The alpha rhythm has also been associated with a relaxed and wakeful state of mind.…”

Section: Frequency-domain Correlatesmentioning

confidence: 99%

A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

Mühl

Allison

Nijholt

et al. 2014

Brain-Computer Interfaces

233

159

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Affective states, moods and emotions, are an integral part of human nature: they shape our thoughts, govern the behavior of the individual, and influence our interpersonal relationships. The last decades have seen a growing interest in the automatic detection of such states from voice, facial expression, and physiological signals, primarily with the goal of enhancing human-computer interaction with an affective component. With the advent of brain-computer interface research, the idea of affective brain-computer interfaces (aBCI), enabling affect detection from brain signals, arose. In this article, we set out to survey the field of neurophysiology-based affect detection. We outline possible applications of aBCI in a general taxonomy of brain-computer interface approaches and introduce the core concepts of affect and their neurophysiological fundamentals. We show that there is a growing body of literature that evidences the capabilities, but also the limitations and challenges of affect detection from neurophysiological activity

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Affective pictures processing is reflected by an increased long-distance EEG connectivity

et al. 2017

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Analysis of affective picture processing by means of EEG has invaded the literature. The methodology of event-related EEG coherence is one of the essential methods used to analyze functional connectivity. The aims of the present study are to find out the long range EEG connectivity changes in perception of different affective pictures and analyze gender differences in these long range connected networks. EEGs of 28 healthy subjects (14 female) were recorded at 32 locations. The participants passively viewed emotional pictures (IAPS, unpleasant, pleasant, neutral). The long-distance intra-hemispheric event-related coherence was analyzed for delta (1-3.5 Hz), theta (4-7.5 Hz), and alpha (8-13 Hz) frequency ranges for F-T, F-T, F-TP, F-TP, F-P, F-P, F-O, F-O, C-O, C-O electrode pairs. Unpleasant pictures elicited significantly higher delta coherence values than neutral pictures ( < 0.05), over fronto-parietal, fronto-occipital, and centro-occipital electrode pairs. Furthermore, unpleasant pictures elicited higher theta coherence values than pleasant ( < 0.05) and neutral pictures ( < 0.05). The present study showed that female subjects had higher delta ( < 0.05) and theta ( < 0.05) coherence values than male subjects. This difference was observed more for emotional pictures than for neutral pictures. This study showed that the brain connectivity was higher during emotional pictures than neutral pictures. Females had higher connectivity between different parts of the brain than males during emotional processes. According to these results, we may comment that increased and caused increased brain activity. It seems that not just single sources but functional networks were also activated during perception of emotional pictures.

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A spectralanalytic approach to emotional responses evoked through picture presentation

Cited by 29 publications

References 21 publications

Approach-avoidance activation without anterior asymmetry

Approach-avoidance activation without anterior asymmetry

A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges

Affective pictures processing is reflected by an increased long-distance EEG connectivity

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