Comparison of EEG propagation speeds under emotional stimuli on smartphone between the different anxiety states

Asakawa, Tetsuya; Muramatsu, Ayumi; Hayashi, T.; Urata, Tatsuya; Taya, Masato; Mizuno‐Matsumoto, Yuko

doi:10.3389/fnhum.2014.01006

Cited by 8 publications

(2 citation statements)

References 27 publications

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“…As expected and as in the first fMRI-analysis, explicitly learned pseudowords elicited more amygdala reactivity than novel pseudowords in the bilateral amygdala, and this effect was positively related to measures of trait anxiety. The effect increases with increasing levels of trait anxiety, showing that persons with higher levels of trait anxiety process stimuli, gathered in emotionally arousing situations, differently from persons with low levels of anxiety (e.g., Tolkunov et al, 2010 ; Asakawa et al, 2014 ; Burgess et al, 2014 ). Different from analysis one, the contrast was also significant for less well-learned pseudowords vs. novel pseudowords.…”

Section: Discussionmentioning

confidence: 92%

Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons

et al. 2015

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Persons suffering from anxiety disorders display facilitated processing of arousing and negative stimuli, such as negative words. This memory bias is reflected in better recall and increased amygdala activity in response to such stimuli. However, individual learning histories were not considered in most studies, a concern that we meet here. Thirty-four female persons (half with high-, half with low trait anxiety) participated in a criterion-based associative word-learning paradigm, in which neutral pseudowords were paired with aversive or neutral pictures, which should lead to a valence change for the negatively paired pseudowords. After learning, pseudowords were tested with fMRI to investigate differential brain activation of the amygdala evoked by the newly acquired valence. Explicit and implicit memory was assessed directly after training and in three follow-ups at 4-day intervals. The behavioral results demonstrate that associative word-learning leads to an explicit (but no implicit) memory bias for negatively linked pseudowords, relative to neutral ones, which confirms earlier studies. Bilateral amygdala activation underlines the behavioral effect: Higher trait anxiety is correlated with stronger amygdala activation for negatively linked pseudowords than for neutrally linked ones. Most interestingly, this effect is also present for negatively paired pseudowords that participants could not remember well. Moreover, neutrally paired pseudowords evoked higher amygdala reactivity than completely novel ones in highly anxious persons, which can be taken as evidence for generalization. These findings demonstrate that few word-learning trials generate a memory bias for emotional stimuli, indexed both behaviorally and neurophysiologically. Importantly, the typical memory bias for emotional stimuli and the generalization to neutral ones is larger in high anxious persons.

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Section: Discussionmentioning

confidence: 92%

Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons

et al. 2015

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“…Audio-visual stimuli: It stimulates both the visual as well as the auditory systems simultaneously [81]. Such stimuli can either be displayed in form of emotional clips from movies [10], or random musical videos of high emotional content [82].…”

Section: A Stimuli Classificationmentioning

confidence: 99%

Review on Stimuli Presentation for Affect Analysis Based on EEG

Sarma

Barma

2020

IEEE Access

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This work presents a comprehensive review on stimuli presentation, which is an important stage of any emotion elicitation experiment in affect analysis. Due to lack of standard guidelines, the researchers employ their self-devised methods which are not always sufficiently informative-making this area very inconsistent and ambiguous. In addition, an ample study about this stage including how to select, design and present the stimuli has not been reported properly earlier. In this purpose, an inclusive study has been conducted aiming to summarize various aspects of stimuli presentation including type of stimuli, available database, presentation tools, subjective measures, ethical issues and so on. Certainly, among several methods of emotion recognition (e.g., facial expression, speech, gesture and physiological signal), the EEG based emotion recognition works have been considered here due to availability of sufficient number of works, reliability and well-established technology. In total, 137 peer reviewed articles have been studied and the results show that about 83% of emotion elicitations have been performed by employing visual stimuli (mostly pictures and video). Therefore, presentation of visual stimuli has been explored with great emphasis covering laboratory setup, presentation timing, subjective issues, and ethical issues. Finally, an extensive recommendations regarding stimuli presentation has been provided which could guide to conduct the emotion elicitation experiments effectively.

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Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare

Bai

Shen

Sun

et al. 2017

Healthcare and Big Data Management

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Physiological data from wearable sensors and smartphone are accumulating rapidly, and this provides us the chance to collect dynamic and personalized information as phenotype to be integrated to genotype for the holistic understanding of complex diseases. This integration can be applied to early prediction and prevention of disease, therefore promoting the shifting of disease care tradition to the healthcare paradigm. In this chapter, we summarize the physiological signals which can be detected by wearable sensors, the sharing of the physiological big data, and the mining methods for the discovery of disease-associated patterns for personalized diagnosis and treatment. We discuss the challenges of physiological informatics about the storage, the standardization, the analyses, and the applications of the physiological data from the wearable sensors and smartphone. At last, we present our perspectives on the models for disentangling the complex relationship between early disease prediction and the mining of physiological phenotype data.

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Comparison of EEG propagation speeds under emotional stimuli on smartphone between the different anxiety states

Cited by 8 publications

References 27 publications

Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons

Brief learning induces a memory bias for arousing-negative words: an fMRI study in high and low trait anxious persons

Review on Stimuli Presentation for Affect Analysis Based on EEG

Physiological Informatics: Collection and Analyses of Data from Wearable Sensors and Smartphone for Healthcare

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