Disentangling brain activity related to the processing of emotional visual information and emotional arousal

Kuniecki, Michał; Domagalik, Aleksandra; Pilarczyk, Joanna

doi:10.1007/s00429-017-1576-y

Cited by 9 publications

(8 citation statements)

References 71 publications

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“…Finally, measures of pupillary diameter may also reveal active mental efforts associated with coping strategies such as reappraisal or suppression of negative emotions (Cohen, Moyal & Henik, 2015; Snowden et al., 2016; Urry et al., 2009; Vanderhasselt et al., 2014; Bebko et al., 2011; Bardeen & Daniel, 2017; Stanners et al., 1979; Kinner et al., 2017; Yih et al., 2018). Neuroimaging studies involving fMRI show that at least some of these emotional conditions leading to pupillary dilatation are associated with increased activation of the amygdala, the ventro-medial prefrontal cortex (Brodmann areas 11 and 25), the lateral occipital complex (Kuniecki et al., 2018) and the dorsolateral prefrontal cortex (Brodmann areas 9 and 46) (Vanderhasselt et al., 2014).…”

Section: Resultsmentioning

confidence: 99%

Cortical modulation of pupillary function: systematic review

Peinkhofer

Knudsen

Moretti

et al. 2019

PeerJ

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Background The pupillary light reflex is the main mechanism that regulates the pupillary diameter; it is controlled by the autonomic system and mediated by subcortical pathways. In addition, cognitive and emotional processes influence pupillary function due to input from cortical innervation, but the exact circuits remain poorly understood. We performed a systematic review to evaluate the mechanisms behind pupillary changes associated with cognitive efforts and processing of emotions and to investigate the cerebral areas involved in cortical modulation of the pupillary light reflex. Methodology We searched multiple databases until November 2018 for studies on cortical modulation of pupillary function in humans and non-human primates. Of 8,809 papers screened, 258 studies were included. Results Most investigators focused on pupillary dilatation and/or constriction as an index of cognitive and emotional processing, evaluating how changes in pupillary diameter reflect levels of attention and arousal. Only few tried to correlate specific cerebral areas to pupillary changes, using either cortical activation models (employing micro-stimulation of cortical structures in non-human primates) or cortical lesion models (e.g., investigating patients with stroke and damage to salient cortical and/or subcortical areas). Results suggest the involvement of several cortical regions, including the insular cortex (Brodmann areas 13 and 16), the frontal eye field (Brodmann area 8) and the prefrontal cortex (Brodmann areas 11 and 25), and of subcortical structures such as the locus coeruleus and the superior colliculus. Conclusions Pupillary dilatation occurs with many kinds of mental or emotional processes, following sympathetic activation or parasympathetic inhibition. Conversely, pupillary constriction may occur with anticipation of a bright stimulus (even in its absence) and relies on a parasympathetic activation. All these reactions are controlled by subcortical and cortical structures that are directly or indirectly connected to the brainstem pupillary innervation system.

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Section: Resultsmentioning

confidence: 99%

Cortical modulation of pupillary function: systematic review

Peinkhofer

Knudsen

Moretti

et al. 2019

PeerJ

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“…Interestingly, the somatosensory cortex, which is included in the post-central gyrus, is also shown to have a significant impact on emotional processing [75]- [78]. An fMRI study involving images and videos for emotion elicitation shows the visual cortex activation for emotion encoding [79]- [81].…”

Section: Analysis For Dominant Channelsmentioning

confidence: 99%

A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms

2021

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Increasing demand for human-computer interaction applications has escalated the need for automatic emotion recognition as emotions are essential for natural communication. There are various information sources that can be used for recognizing emotions, such as speech, facial expressions, body movements, and physiological signals. Among those physiological signals are more reliable for better affective communication with machines since they are almost impossible to control. Therefore, automatic emotion recognition from EEG signals has been a topic intensely investigated. Emotions are experiences that arise various cognitive functions observed in different frequency bands involving multiple brain areas and recognition from EEG with high accuracies is only possible with a large number of features extracted from the whole brain in various bands. Emotion regulation also requires integration of cognitive functions and thus functional connectivity between regions should also be considered. In this paper, we extract 736 features based on spectral power and phase-locking values. We particularly focus on finding salient features for emotion recognition using swarm-intelligence (SI) algorithms. We applied well-known classification algorithms for recognizing positive and negative emotions using the feature sets that are selected by these algorithms. Besides, features that are selected by all of them commonly are used as a new feature set. We report accuracies between 56.27% and 60.29% on the average; noting that by decreasing the feature size by 87.17% (from 736 to 94.40) an average accuracy of 60.01±8.93 was obtained with the random forest classifier. We also highlight the efficient electrode locations for emotion recognition. As a result, we define 11 channels as dominant and promising classification results are obtained.

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“…Finally, measures of pupillary diameter may also reveal active mental efforts associated with coping strategies such as reappraisal or suppression of negative emotions 163 164-171 . Neuroimaging studies involving fMRI show that at least some of these emotional conditions leading to pupillary dilatation are associated with increased activation of the amygdala, the ventro-medial prefrontal cortex (Brodmann areas 11 and 25), the lateral occipital complex 172 and the dorsolateral prefrontal cortex (Brodmann areas 9 and 46) 166 .…”

Section: Pupillary Dilatation: Cognitionmentioning

confidence: 99%

Peer Review #2 of "Cortical modulation of pupillary function: systematic review (v0.1)"

2019

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Background. The pupillary light reflex is the main mechanism that regulates the pupillary diameter; it is controlled by the autonomic system and mediated by subcortical pathways. In addition, cognitive and emotional processes influence pupillary function due to input from cortical innervation, but the exact circuits remain poorly understood. We performed a systematic review to evaluate the mechanisms behind pupillary changes associated with cognitive efforts and processing of emotions and to investigate the cerebral areas involved in cortical modulation of the pupillary light reflex. Methodology. We searched multiple databases until November 2018 for studies on cortical modulation of pupillary function in humans and non-human primates. Of 8809 papers screened, 258 studies were included. Results. Most investigators focused on pupillary dilatation and/or constriction as an index of cognitive and emotional processing, evaluating how changes in pupillary diameter reflect levels of attention and arousal. Only few tried to correlate specific cerebral areas to pupillary changes, using either cortical activation models (employing micro-stimulation of cortical structures in non-human primates) or cortical lesion models (e.g. investigating patients with stroke and damage to salient cortical and/or subcortical areas). Results suggest involvement of several cortical regions, including the insular cortex (Brodmann areas 13 and 16), the frontal eye field (Brodmann area 8) and the prefrontal cortex (Brodmann areas 11 and 25), and of subcortical structures such as the locus coeruleus and the superior colliculus. Conclusions. Pupillary dilatation occurs with many kinds of mental or emotional processes, following sympathetic activation or parasympathetic inhibition. Conversely, pupillary constriction may occur with anticipation of a bright stimulus (even in its absence) and relies on a parasympathetic activation. All these reactions are controlled by subcortical and cortical structures that are directly or indirectly connected to the brainstem pupillary innervation system.

show abstract

Disentangling brain activity related to the processing of emotional visual information and emotional arousal

Cited by 9 publications

References 71 publications

Cortical modulation of pupillary function: systematic review

Cortical modulation of pupillary function: systematic review

A Channel Selection Method for Emotion Recognition From EEG Based on Swarm-Intelligence Algorithms

Peer Review #2 of "Cortical modulation of pupillary function: systematic review (v0.1)"

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