Emotion word recognition: Discrete information effects first, continuous later?

Briesemeister, Benny B.; Kuchinke, Lars; Jacobs, Arthur

doi:10.1016/j.brainres.2014.03.045

Cited by 78 publications

(94 citation statements)

References 27 publications

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“…Following Briesemeister et al (2014), 120 German four-to eight-letter nouns and an equal number of nonwords were presented in a 2 (happiness) ×2 (positivity) within-subjects design with 30 items per cell. In order to investigate the specific contributions of discrete emotions and affective dimensions to affective word recognition, the present study relied on two published affective norm databases, the Berlin Affective Word List-Reloaded (BAWL-R; Võ et al, 2009) and its discrete-emotion extension, the Discrete Emotion Norms for Nouns BAWL (DENN-BAWL; Briesemeister German words.…”

Section: Stimulimentioning

confidence: 99%

“…Recent evidence supporting the hierarchical emotion theory has come from an ERP study in which participants were presented with affective words in a lexical decision task (LDT; Briesemeister, Kuchinke, & Jacobs, 2014). Word lists "high" or "low" in normative discrete emotion measures of happiness and "neutral" or "positive" on the valence dimension (positivity) were orthogonally manipulated.…”

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confidence: 99%

“…This was the goal of the present study, which we meant to replicate and extend the results of Briesemeister et al (2014) using functional magnetic resonance imaging (fMRI) instead of ERPs. On the basis of Panksepp's hierarchical emotion theory, we derived the following hypotheses:…”

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confidence: 99%

“…Previous work has already shown that discrete emotion words explain specific variances during lexical processing, even when the stimulus material is controlled with respect to affective dimensions (Briesemeister, Kuchinke, & Jacobs, 2011b, 2014Silva, Montant, Ponz, & Ziegler, 2012;Weigand et al, 2013), indicating separable underlying processes. Assuming that discrete emotion words indeed induce conditioned responses that mainly access the secondary process level, a happiness manipulation like the one described in Briesemeister et al (2014) should, according to Panksepp (2001, Table 2), relate to the PLAY system. The primaryprocess-level circuitry underlying PLAY consists of the parafascicular and posterior thalamic nuclei, the somatosensory cortex, the hippocampus, and the dorsal PAG (Panksepp, 1998(Panksepp, , 2001), but as we already mentioned, Panksepp (2012) and Satpute et al (2013) agree that the primary process level is difficult to access using fMRI.…”

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confidence: 99%

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Emotions in reading: Dissociation of happiness and positivity

Briesemeister

Kuchinke

Jacobs

et al. 2014

Cogn Affect Behav Neurosci

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The hierarchical emotion model proposed by Panksepp (1998) predicts that affective processing will rely on three functionally and neuroanatomically distinct levels, engaging subcortical networks (primary level), the limbic system (secondary level), and the neocortex (tertiary level). In the present fMRI study, we manipulated happiness and positivity, which are assumed to rely on secondary-and tertiary-level processes, respectively, to test these assumptions in a word recognition task. In accordance with the model predictions, evidence for a double dissociation was found in the brain activation patterns: Secondary-level processes engaged parts of the limbic system-specifically, the right hemispheric amygdala. Tertiary-level processes, in contrast, relied predominantly on frontal neocortical structures such as the left inferior frontal and medial frontal gyri. These results are interpreted as support for Panksepp's (1998) model and as an indicator of a semantic foundation of affective dimensions.

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Section: Stimulimentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Emotions in reading: Dissociation of happiness and positivity

Briesemeister

Kuchinke

Jacobs

et al. 2014

Cogn Affect Behav Neurosci

Self Cite

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“…Behavioral evidence has come from studies using dichotic listening, visual search, and emotional Stroop task, as well as tasks that use emotional words as distractors or lures (for a review, see Vuilleumier & Huang, 2009). In addition, ERP studies have, although inconsistently, shown that emotional words elicit a larger P1 and/or N1 than neutral words (Kissler & Herbert, 2013;Sass et al, 2010;Wang, Zhu, Bastiaansen, Hagoort, & Yang, 2013;Zhang et al, 2014; but see Bayer, Sommer, & Schacht, 2012;Briesemeister, Kuchinke, & Jacobs, 2014;Fritsch & Kuchinke, 2013;Hinojosa, Méndez-Bértolo, & Pozo, 2012;Scott, O'Donnell, Leuthold, & Sereno, 2009), reflecting automatic allocation of attentional resources to emotional words. Since the early P1 and N1 effects seem to precede lexical-semantic access (Dien, 2009), two explanations have been proposed to account for such rapid ERP effects.…”

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confidence: 99%

The dynamic influence of emotional words on sentence comprehension: An ERP study

Ding

Lin

Yang

2016

Cogn Affect Behav Neurosci

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In the present study, we explored the influence of emotional words on the semantic integration of their following neutral nouns during sentence comprehension. We manipulated the emotionality of verbs and the semantic congruity of their following (neutral) object nouns in sentences. Eventrelated potentials were recorded to the verbs, which were either negative or neutral, and to the object nouns, which were either semantically congruent or incongruent relative to the preceding contexts. We found an N400 and a P600 effect in response to the semantic congruity of the nouns when they followed the neutral verbs. However, the P600 (but not the N400) semantic congruity effect may have been attenuated when the nouns followed the negative verbs. Meanwhile, the negative verbs elicited a larger P2 and N400 than did the neutral verbs. The results indicate that the attention captured by emotional words impaired reanalysis of the following incongruent information, demonstrating a dynamic influence of emotional words on the semantic processing of following information during sentence comprehension.

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Effect of emotion on memory for words and their context

Riegel

Wierzba

Grabowska

et al. 2015

J of Comparative Neurology

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Emotion influences various cognitive processes, such as memory. This beneficial or detrimental effect can be studied with verbal material, yet in this case a broad term of context has to be taken into account. The present work reviews recent literature and proposes that traditional differentiation between semantic and environmental context should be replaced with a novel conceptualization of hippocampus-dependent relational memory and item memory (related to the activations of cuneus and left amygdala). Additionally, instead of list-learning paradigms, words should be memorized in the context of sentences or stories for better control over their meaning. The recent evidence suggests that of particular importance for ecological validity in research paradigms is the presence of communicative and social context of verbal material related to such processes as theory of mind and brain activations in temporoparietal junction, posterior cingulate cortex, and dorsal medial prefrontal cortex. We propose that studying memory of verbal material within context gives a better understanding of enhancing and impairing effects of emotion as well as of the underlying brain mechanisms.

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Emotion word recognition: Discrete information effects first, continuous later?

Cited by 78 publications

References 27 publications

Emotions in reading: Dissociation of happiness and positivity

Emotions in reading: Dissociation of happiness and positivity

The dynamic influence of emotional words on sentence comprehension: An ERP study

Effect of emotion on memory for words and their context

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