From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition DOI
Yang Li, Wenming Zheng, Lei Wang

et al.

IEEE Transactions on Affective Computing, Journal Year: 2019, Volume and Issue: 13(2), P. 568 - 578

Published: June 14, 2019

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition method inspired by neuroscience with respect to the brain response different emotions. The proposed method, denoted R2G-STNN, consists of spatial and temporal neural network models regional global hierarchical feature learning process learn discriminative spatial-temporal EEG features. To features, bidirectional long short term memory (BiLSTM) is adopted capture intrinsic relationships electrodes within region between regions, respectively. Considering that regions play roles in recognition, region-attention layer into R2G-STNN model also introduced set weights strengthen or weaken contributions regions. Based on sequences, BiLSTM both features are fitted classifier for emotion-discriminative which domain discriminator working corporately used decrease shift training testing data. Finally, evaluate conduct subject-dependent subject-independent experiments SEED database, experimental results show achieves state-of-the-art performance.

Language: Английский

Behavioral Interpretations of Intrinsic Connectivity Networks DOI
Angela R. Laird, P. Mickle Fox, Simon B. Eickhoff

et al.

Journal of Cognitive Neuroscience, Journal Year: 2011, Volume and Issue: 23(12), P. 4022 - 4037

Published: June 15, 2011

Abstract An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment the functional qualities resting state has been limited by task-independent state, which results in an inability to relate these specific mental functions. However, it was recently demonstrated that similar can be extracted from data and thousands task-based experiments archived BrainMap database. Here, we present a full explication intrinsic connectivity at standard low order decomposition using neuroinformatics approach based on behavioral taxonomy as well stratified, data-driven ordering cognitive processes. Our serve resource for interpretations future investigations operations tasks drive them.

Language: Английский

Citations

1008
The Brain Basis of Positive and Negative Affect: Evidence from a Meta-Analysis of the Human Neuroimaging Literature DOI Open Access
Kristen A. Lindquist, Ajay B. Satpute, Tor D. Wager

et al.

Cerebral Cortex, Journal Year: 2015, Volume and Issue: 26(5), P. 1910 - 1922

Published: Jan. 28, 2015

The ability to experience pleasant or unpleasant feelings represent objects as "positive" "negative" is known representing hedonic "valence." Although scientists overwhelmingly agree that valence a basic psychological phenomenon, debate continues about how best conceptualize it scientifically. We used meta-analysis of 397 functional magnetic resonance imaging (fMRI) and positron emission tomography studies (containing 914 experimental contrasts 6827 participants) test 3 competing hypotheses the brain basis valence: bipolarity hypothesis positive negative affect are supported by system monotonically increases and/or decreases along dimension, bivalent independent systems, affective workspace flexible set valence-general regions. found little evidence for bipolar hypotheses. Findings instead that, at level activity measurable fMRI, flexibly implemented across instances limbic paralimbic

Language: Английский

Citations

665
Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain DOI
Lisa Feldman Barrett, Ajay B. Satpute

Current Opinion in Neurobiology, Journal Year: 2013, Volume and Issue: 23(3), P. 361 - 372

Published: Jan. 23, 2013

Language: Английский

Citations

603
Evidence for a large-scale brain system supporting allostasis and interoception in humans DOI
Ian R. Kleckner, Jiahe Zhang, Alexandra Touroutoglou

et al.

Nature Human Behaviour, Journal Year: 2017, Volume and Issue: 1(5)

Published: April 21, 2017

Language: Английский

Citations

530
The Theory of Dyadic Morality: Reinventing Moral Judgment by Redefining Harm DOI Open Access
Chelsea Schein, Kurt Gray

Personality and Social Psychology Review, Journal Year: 2017, Volume and Issue: 22(1), P. 32 - 70

Published: May 14, 2017

The nature of harm—and therefore moral judgment—may be misunderstood. Rather than an objective matter reason, we argue that harm should redefined as intuitively perceived continuum. This redefinition provides a new understanding content and mechanism—the constructionist Theory Dyadic Morality (TDM). TDM suggests acts are condemned proportional to three elements: norm violations, negative affect, and—importantly—perceived harm. is dyadic, involving intentional agent causing damage vulnerable patient (A→P). predicts causal links both from immorality (dyadic comparison) completion). Together, these two processes make the “dyadic loop,” explaining acquisition polarization. argues against intuitive harmless wrongs modular “foundations,” but embraces pluralism through varieties values flexibility morality impacts understandings character, emotion, political/cultural differences, research guidelines for psychology.

Language: Английский

Citations

528
Emotional foundations of cognitive control DOI
Michael Inzlicht, Bruce D. Bartholow, Jacob B. Hirsh

et al.

Trends in Cognitive Sciences, Journal Year: 2015, Volume and Issue: 19(3), P. 126 - 132

Published: Feb. 6, 2015

Language: Английский

Citations

504
Social cognition and the cerebellum: A meta-analysis of over 350 fMRI studies DOI
Frank Van Overwalle, Kris Baetens, Peter Mariën

et al.

NeuroImage, Journal Year: 2013, Volume and Issue: 86, P. 554 - 572

Published: Sept. 27, 2013

Language: Английский

Citations

455
Discrete Neural Signatures of Basic Emotions DOI Open Access
Heini Saarimäki, Athanasios Gotsopoulos, Iiro P. Jääskeläinen

et al.

Cerebral Cortex, Journal Year: 2015, Volume and Issue: 26(6), P. 2563 - 2573

Published: April 29, 2015

Categorical models of emotions posit neurally and physiologically distinct human basic emotions. We tested this assumption by using multivariate pattern analysis (MVPA) to classify brain activity patterns 6 (disgust, fear, happiness, sadness, anger, surprise) in 3 experiments. Emotions were induced with short movies or mental imagery during functional magnetic resonance imaging. MVPA accurately classified both methods, the classification generalized from one induction condition another across individuals. Brain regions contributing most accuracy included medial inferior lateral prefrontal cortices, frontal pole, precentral postcentral gyri, precuneus, posterior cingulate cortex. Thus, specific neural signatures these hold representations different emotional states multimodal fashion, independently how are induced. Similarity subjective experiences between was associated similarity for same emotions, suggesting a direct link experience.

Language: Английский

Citations

442
The default mode network and social understanding of others: what do brain connectivity studies tell us DOI Creative Commons
Wanqing Li,

Xiaoqin Mai,

Chao Liu

et al.

Frontiers in Human Neuroscience, Journal Year: 2014, Volume and Issue: 8

Published: Jan. 1, 2014

The Default Mode Network (DMN) has been found to be involved in various domains of cognitive and social processing. present article will review brain connectivity results related the DMN fields understanding others: emotion perception, empathy, theory mind, morality. Most reviewed studies focused on healthy subjects with no neurological psychiatric disease, but some patients autism psychopathy also discussed. Common show that medial prefrontal cortex (MPFC) plays a key role others, subregions MPFC contribute differently this function according their roles different subsystems DMN. At bottom, ventral temporal lobe (MTL) subsystem its connections regions are mainly associated engagement during interactions. Above, anterior (aMPFC) cortical midline structures (CMS) posterior cingulate mostly making self-other distinctions. top, dorsal (dMPFC) dMPFC connection temporo-parietal junction (TPJ) primarily other's mental states. As behaviors become more complex, frontal located higher. This reflects transfer information processing from automatic processes increase complexity interaction. Besides TPJ, connectivities (PCC) changes tasks four fields. These indicate is indispensable others.

Language: Английский

Citations

423
Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories. DOI Creative Commons
Erika Siegel,

Molly Sands,

Wim Van Den Noortgate

et al.

Psychological Bulletin, Journal Year: 2018, Volume and Issue: 144(4), P. 343 - 393

Published: Feb. 1, 2018

The classical view of emotion hypothesizes that certain categories have a specific autonomic nervous system (ANS) "fingerprint" is distinct from other categories. Substantial ANS variation within category presumed to be epiphenomenal. theory constructed an population context-specific, highly variable instances need not share fingerprint. Instead, meaningful part the nature emotion. We present meta-analysis 202 studies measuring reactivity during lab-based inductions in nonclinical samples adults, using random effects, multilevel and multivariate pattern classification analysis test our hypotheses. found increases mean effect size for 59.4% variables across categories, but sizes did clearly distinguish 1 another. also observed significant categories; heterogeneity accounted moderate substantial percentage (i.e., I2 ≥ 30%) variability 54% these sizes. Experimental moderators epiphenomenal emotion, such as induction type (e.g., films vs. imagery), explain large portion variability. Correction publication bias reduced estimated even further, increasing These findings, when considered broader empirical literature, are more consistent with thinking principles evolutionary biology offer insights developing new hypotheses understand (PsycINFO Database Record

Language: Английский

Citations

398