Understanding Emotions: Origins and Roles of the Amygdala

Biomolecules, Год журнала: 2021, Номер 11(6), С. 823 - 823

Опубликована: Май 31, 2021

Emotions arise from activations of specialized neuronal populations in several parts the cerebral cortex, notably anterior cingulate, insula, ventromedial prefrontal, and subcortical structures, such as amygdala, ventral striatum, putamen, caudate nucleus, tegmental area. Feelings are conscious, emotional experiences these that contribute to networks mediating thoughts, language, behavior, thus enhancing ability predict, learn, reappraise stimuli situations environment based on previous experiences. Contemporary theories emotion converge around key role amygdala central brain structure constantly evaluates integrates a variety sensory information surroundings assigns them appropriate values dimensions, valence, intensity, approachability. The participates regulation autonomic endocrine functions, decision-making adaptations instinctive motivational behaviors changes through implicit associative learning, short- long-term synaptic plasticity, activation fight-or-flight response via efferent projections its nucleus cortical structures.

Язык: Английский

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EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities

Computational Intelligence and Neuroscience, Год журнала: 2020, Номер 2020, С. 1 - 19

Опубликована: Сен. 16, 2020

Emotions are fundamental for human beings and play an important role in cognition. Emotion is commonly associated with logical decision making, perception, interaction, to a certain extent, intelligence itself. With the growing interest of research community towards establishing some meaningful “emotional” interactions between humans computers, need reliable deployable solutions identification emotional states required. Recent developments using electroencephalography (EEG) emotion recognition have garnered strong from as latest consumer-grade wearable EEG can provide cheap, portable, simple solution identifying emotions. Since last comprehensive review was conducted back years 2009 2016, this paper will update on current progress signals 2016 2019. The focus state-of-the-art focuses elements stimuli type presentation approach, study size, hardware, machine learning classifiers, classification approach. From review, we suggest several future opportunities including proposing different approach presenting form virtual reality (VR). To end, additional section devoted specifically reviewing only VR studies within domain presented motivation proposed new device. This intended be useful working well those who venturing into field research.

Язык: Английский

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The Default Mode Network’s Role in Discrete Emotion

Trends in Cognitive Sciences, Год журнала: 2019, Номер 23(10), С. 851 - 864

Опубликована: Авг. 16, 2019

Язык: Английский

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A short review on emotion processing: a lateralized network of neuronal networks

Brain Structure and Function, Год журнала: 2021, Номер 227(2), С. 673 - 684

Опубликована: Июль 3, 2021

Emotions are valenced mental responses and associated physiological reactions that occur spontaneously automatically in response to internal or external stimuli, can influence our behavior, themselves be modulated a certain degree voluntarily by stimuli. They subserved large-scale integrated neuronal networks with epicenters the amygdala hippocampus, which overlap anterior cingulate cortex. Although emotion processing is accepted as being lateralized, specific role of each hemisphere remains an issue controversy, two major hypotheses have been proposed. In right-hemispheric dominance hypothesis, all emotions thought processed right hemisphere, independent their valence emotional feeling processed. lateralization left dominant for positively stimuli inducing approach behaviors, whereas negatively withdrawal would hemisphere. More recent research points at existence multiple interrelated networks, component generation, i.e., its perception, regulation. It has thus proposed move from supporting overall hemispheric specialization toward dynamic models incorporating do not necessarily share same patterns.

Язык: Английский

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Valence coding in amygdala circuits

Current Opinion in Behavioral Sciences, Год журнала: 2018, Номер 26, С. 97 - 106

Опубликована: Дек. 14, 2018

Язык: Английский

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Effectiveness of engagement initiatives across engagement platforms: A meta-analysis

Journal of the Academy of Marketing Science, Год журнала: 2023, Номер 51(5), С. 941 - 965

Опубликована: Фев. 28, 2023

Abstract As part of their customer engagement (CE) marketing, firms use different platforms to interact with customers, in ways that go beyond purchases. Task-based CE strategies call for customers’ participation structured, often incentivized tasks; experiential initiatives instead aim stimulate pleasurable experiences customers. But the optimal uses these two strategies, terms improving produce more positive marketing outcomes, are unclear. With a meta-analysis and data from 395 samples, pertaining 434,233 present study develops tests unifying framework how optimize investments both across platforms. On average, task-based effective driving engagement, but effects depend on platform. If support continuous or lean interactions, effective; encourage spot preferable. Three dimensions (cognitive, emotional, behavioral) turn lead though platforms’ interaction characteristics (intensity, richness, initiation) differ digital versus physical These results provide clear guidance managers regarding plan activities benefit

Язык: Английский

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Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence

Nature Neuroscience, Год журнала: 2023, Номер 26(7), С. 1256 - 1266

Опубликована: Июнь 8, 2023

Язык: Английский

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The representational dynamics of perceived voice emotions evolve from categories to dimensions

Nature Human Behaviour, Год журнала: 2021, Номер 5(9), С. 1203 - 1213

Опубликована: Март 11, 2021

Язык: Английский

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Activation network mapping for integration of heterogeneous fMRI findings

Nature Human Behaviour, Год журнала: 2022, Номер 6(10), С. 1417 - 1429

Опубликована: Июнь 2, 2022

Язык: Английский

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Fine-Grained Interpretability for EEG Emotion Recognition: Concat-Aided Grad-CAM and Systematic Brain Functional Network

IEEE Transactions on Affective Computing, Год журнала: 2023, Номер 15(2), С. 671 - 684

Опубликована: Июнь 23, 2023

EEG emotion recognition plays a significant role in various mental health services. Deep learning-based methods perform excellently, but still suffer from interpretability. Although such as Gradient-weighted Class Activation Mapping(Grad-CAM) can cope with the above problem, their coarse granularity cannot accurately reveal mechanism to promote emotional intelligence. In this paper, fine-grained interpretability is proposed, called Concat-aided Grad-CAM. Specifically, multi-level feature mapping before fully connected layer concatenated obtain gradients of target concept so that discriminant information be directly located high-precision area. Unlike coarse-grained applied recognition, it highlight channels related rather than an obscure addition, systematic brain functional network proposed relationship between those and further improve performance. The greater contributions are connected, connections learned by dynamic graph convolutional networks, while others independent eliminate interference. Experiments on two datasets manifest Grad-CAM interpreted fine-grained. has been shown performance baselines. Significantly, experiment results achieve state-of-the-art subject-dependent experiments.

Язык: Английский

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