Affective Neuroscience: the Emergence of a Discipline Richard J Davidson and Steven K Sutton
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Effect of Emotional Arousal 1 Running Head
Effect of Emotional Arousal 1 Running Head: THE EFFECT OF EMOTIONAL AROUSAL ON RECALL The Effect of Emotional Arousal and Valence on Memory Recall 500181765 Bangor University Group 14, Thursday Afternoon Effect of Emotional Arousal 2 Abstract This study examined the effect of emotion on memory when recalling positive, negative and neutral events. Four hundred and fourteen participants aged over 18 years were asked to read stories that differed in emotional arousal and valence, and then performed a spatial distraction task before they were asked to recall the details of the stories. Afterwards, participants rated the stories on how emotional they found them, from ‘Very Negative’ to ‘Very Positive’. It was found that the emotional stories were remembered significantly better than the neutral story; however there was no significant difference in recall when a negative mood was induced versus a positive mood. Therefore this research suggests that emotional valence does not affect recall but emotional arousal affects recall to a large extent. Effect of Emotional Arousal 3 Emotional arousal has often been found to influence an individual’s recall of past events. It has been documented that highly emotional autobiographical memories tend to be remembered in better detail than neutral events in a person’s life. Structures involved in memory and emotions, the hippocampus and amygdala respectively, are joined in the limbic system within the brain. Therefore, it would seem true that emotions and memory are linked. Many studies have investigated this topic, finding that emotional arousal increases recall. For instance, Kensinger and Corkin (2003) found that individuals remember emotionally arousing words (such as swear words) more than they remember neutral words. -
Neural Correlates of Personality Dimensions and Affective Measures During the Anticipation of Emotional Stimuli
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by RERO DOC Digital Library Brain Imaging and Behavior (2011) 5:86–96 DOI 10.1007/s11682-011-9114-7 ORIGINAL RESEARCH Neural correlates of personality dimensions and affective measures during the anticipation of emotional stimuli Annette Beatrix Brühl & Marie-Caroline Viebke & Thomas Baumgartner & Tina Kaffenberger & Uwe Herwig Published online: 25 January 2011 # Springer Science+Business Media, LLC 2011 Abstract Neuroticism and extraversion are proposed per- measures. Neuroticism-related regions were partially cross- sonality dimensions for individual emotion processing. correlated with anxiety and depression and vice versa. Neuroticism is correlated with depression and anxiety Extraversion-related activity was not correlated with the disorders, implicating a common neurobiological basis. other measures. The neural correlates of extraversion Extraversion is rather inversely correlated with anxiety and compared with those of neuroticism and affective measures depression. We examined neural correlates of personality in fit with concepts of different neurobiological bases of the relation to depressiveness and anxiety in healthy adult personality dimensions and point at predispositions for subjects with functional magnetic resonance imaging affective disorders. during the cued anticipation of emotional stimuli. Distrib- uted particularly prefrontal but also other cortical regions Keywords Extraversion . Neuroticism . Emotion and the thalamus were associated with extraversion. processing . fMRI . Affective disorders Parieto-occipital and temporal regions and subcortically the caudate were correlated with neuroticism and affective Introduction Electronic supplementary material The online version of this article (doi:10.1007/s11682-011-9114-7) contains supplementary material, The relation between personality dimensions and affective which is available to authorized users. -
Tor Wager Diana L
Tor Wager Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences Dartmouth College Email: [email protected] https://wagerlab.colorado.edu Last Updated: July, 2019 Executive summary ● Appointments: Faculty since 2004, starting as Assistant Professor at Columbia University. Associate Professor in 2009, moved to University of Colorado, Boulder in 2010; Professor since 2014. 2019-Present: Diana L. Taylor Distinguished Professor of Psychological and Brain Sciences at Dartmouth College. ● Publications: 240 publications with >50,000 total citations (Google Scholar), 11 papers cited over 1000 times. H-index = 79. Journals include Science, Nature, New England Journal of Medicine, Nature Neuroscience, Neuron, Nature Methods, PNAS, Psychological Science, PLoS Biology, Trends in Cognitive Sciences, Nature Reviews Neuroscience, Nature Reviews Neurology, Nature Medicine, Journal of Neuroscience. ● Funding: Currently principal investigator on 3 NIH R01s, and co-investigator on other collaborative grants. Past funding sources include NIH, NSF, Army Research Institute, Templeton Foundation, DoD. P.I. on 4 R01s, 1 R21, 1 RC1, 1 NSF. ● Awards: Awards include NSF Graduate Fellowship, MacLean Award from American Psychosomatic Society, Colorado Faculty Research Award, “Rising Star” from American Psychological Society, Cognitive Neuroscience Society Young Investigator Award, Web of Science “Highly Cited Researcher”, Fellow of American Psychological Society. Two patents on research products. ● Outreach: >300 invited talks at universities/international conferences since 2005. Invited talks in Psychology, Neuroscience, Cognitive Science, Psychiatry, Neurology, Anesthesiology, Radiology, Medical Anthropology, Marketing, and others. Media outreach: Featured in New York Times, The Economist, NPR (Science Friday and Radiolab), CBS Evening News, PBS special on healing, BBC, BBC Horizons, Fox News, 60 Minutes, others. -
Cognitive & Affective Neuroscience
Cognitive & Affective Neuroscience: From Circuitry to Network and Behavior Monday, Jun 18: 8:00 AM - 9:15 AM 1835 Symposium Monday - Symposia AM Using a multi-disciplinary approach integrating cognitive, EEG/ERP and fMRI techniques and advanced analytic methods, the four speakers in this symposium investigate neurocognitive processes underlying nuanced cognitive and affective functions in humans. the neural basis of changing social norms through persuasion using carefully designed behavioral paradigms and functional MRI technique; Yuejia Luo will describe how high temporal resolution EEG/ERPs predict dynamical profiles of distinct neurocognitive stages involved in emotional negativity bias and its reciprocal interactions with executive functions such as working memory; Yongjun Yu conducts innovative behavioral experiments in conjunction with fMRI and computational modeling approaches to dissociate interactive neural signals involved in affective decision making; and Shaozheng Qin applies fMRI with simultaneous recording skin conductance and advanced analytic approaches (i.e., MVPA, network dynamics) to determine neural representational patterns and subjects can modulate resting state networks, and also uses graph theory network activity levels to delineate dynamic changes in large-scale brain network interactions involved in complex interplay of attention, emotion, memory and executive systems. These talks will provide perspectives on new ways to study brain circuitry and networks underlying interactions between affective and cognitive functions and how to best link the insights from behavioral experiments and neuroimaging studies. Objective Having accomplished this symposium or workshop, participants will be able to: 1. Learn about the latest progress of innovative research in the field of cognitive and affective neuroscience; 2. Learn applications of multimodal brain imaging techniques (i.e., EEG/ERP, fMRI) into understanding human cognitive and affective functions in different populations. -
About Emotions There Are 8 Primary Emotions. You Are Born with These
About Emotions There are 8 primary emotions. You are born with these emotions wired into your brain. That wiring causes your body to react in certain ways and for you to have certain urges when the emotion arises. Here is a list of primary emotions: Eight Primary Emotions Anger: fury, outrage, wrath, irritability, hostility, resentment and violence. Sadness: grief, sorrow, gloom, melancholy, despair, loneliness, and depression. Fear: anxiety, apprehension, nervousness, dread, fright, and panic. Joy: enjoyment, happiness, relief, bliss, delight, pride, thrill, and ecstasy. Interest: acceptance, friendliness, trust, kindness, affection, love, and devotion. Surprise: shock, astonishment, amazement, astound, and wonder. Disgust: contempt, disdain, scorn, aversion, distaste, and revulsion. Shame: guilt, embarrassment, chagrin, remorse, regret, and contrition. All other emotions are made up by combining these basic 8 emotions. Sometimes we have secondary emotions, an emotional reaction to an emotion. We learn these. Some examples of these are: o Feeling shame when you get angry. o Feeling angry when you have a shame response (e.g., hurt feelings). o Feeling fear when you get angry (maybe you’ve been punished for anger). There are many more. These are NOT wired into our bodies and brains, but are learned from our families, our culture, and others. When you have a secondary emotion, the key is to figure out what the primary emotion, the feeling at the root of your reaction is, so that you can take an action that is most helpful. . -
How Should Neuroscience Study Emotions? by Distinguishing Emotion States, Concepts, and Experiences Ralph Adolphs
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Authors - Main Social Cognitive and Affective Neuroscience, 2017, 24–31 doi: 10.1093/scan/nsw153 Advance Access Publication Date: 19 October 2016 Original article How should neuroscience study emotions? by distinguishing emotion states, concepts, and experiences Ralph Adolphs Division of Humanities and Social Sciences, California Institute of Technology, HSS 228-77, Caltech, Pasadena, CA 91125, USA. E-mail: [email protected] Abstract In this debate with Lisa Feldman Barrett, I defend a view of emotions as biological functional states. Affective neuroscience studies emotions in this sense, but it also studies the conscious experience of emotion (‘feelings’), our ability to attribute emotions to others and to animals (‘attribution’, ‘anthropomorphizing’), our ability to think and talk about emotion (‘concepts of emotion’, ‘semantic knowledge of emotion’) and the behaviors caused by an emotion (‘expression of emotions’, ‘emotional reactions’). I think that the most pressing challenge facing affective neuroscience is the need to carefully distinguish between these distinct aspects of ‘emotion’. I view emotion states as evolved functional states that regulate complex behavior, in both people and animals, in response to challenges that instantiate recurrent environmental themes. These functional states, in turn, can also cause conscious experiences (feelings), and their effects and our memories for those effects also contribute to our semantic -
Deconstructing Arousal Into Wakeful, Autonomic and Affective Varieties
Neuroscience Letters xxx (xxxx) xxx–xxx Contents lists available at ScienceDirect Neuroscience Letters journal homepage: www.elsevier.com/locate/neulet Review article Deconstructing arousal into wakeful, autonomic and affective varieties ⁎ Ajay B. Satputea,b, , Philip A. Kragelc,d, Lisa Feldman Barrettb,e,f,g, Tor D. Wagerc,d, ⁎⁎ Marta Bianciardie,f, a Departments of Psychology and Neuroscience, Pomona College, Claremont, CA, USA b Department of Psychology, Northeastern University, Boston, MA, USA c Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, USA d The Institute of Cognitive Science, University of Colorado Boulder, Boulder, USA e Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA f Department of Radiology, Harvard Medical School, Boston, MA, USA g Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA ARTICLE INFO ABSTRACT Keywords: Arousal plays a central role in a wide variety of phenomena, including wakefulness, autonomic function, affect Brainstem and emotion. Despite its importance, it remains unclear as to how the neural mechanisms for arousal are or- Arousal ganized across them. In this article, we review neuroscience findings for three of the most common origins of Sleep arousal: wakeful arousal, autonomic arousal, and affective arousal. Our review makes two overarching points. Autonomic First, research conducted primarily in non-human animals underscores the importance of several subcortical Affect nuclei that contribute to various sources of arousal, motivating the need for an integrative framework. Thus, we Wakefulness outline an integrative neural reference space as a key first step in developing a more systematic understanding of central nervous system contributions to arousal. -
The Functional Neuroanatomy of Emotion and Affective Style Richard J
Bedford – Keeping perception accurate Review 30 Held, R. (1965) Plasticity in sensory–motor systems Sci. Am. 213, 84–94 34 Calvert, G.A., Brammer, M.J. and Iverson, S.D. (1998) Crossmodal 31 Clifton, R.K. et al. (1988) Growth in head size during infancy: identification Trends Cognit. Sci. 2, 247–253 implications for sound localization Dev. Psychol. 24, 477–483 35 Driver, J. and Spence, C. (1998) Attention and the crossmodal 32 Shinn-Cunningham, B. Adapting to remapped auditory localization construction of space Trends Cognit. Sci. 2, 254–262 cues: a decision-theory model Percept. Psychophys. (in press) 36 Jones, T.A, Hawrylak, N. and Greenough, W.T. (1996) Rapid laminar- 33 Shinn-Cunningham, B.G., Durlach, N.I. and Held, R.M. (1998) Adapting dependent changes in GFAP immunoreactive astrocytes in the visual to supernormal auditory localization cues: II. Constraints on cortex of rats reared in a complex environment Psychoneuro- adaptation of mean response J. Acoust. Soc. Am. 103, 3667–3676 endocrinology 21, 189–201 The functional neuroanatomy of emotion and affective style Richard J. Davidson and William Irwin Recently, there has been a convergence in lesion and neuroimaging data in the identification of circuits underlying positive and negative emotion in the human brain. Emphasis is placed on the prefrontal cortex (PFC) and the amygdala as two key components of this circuitry. Emotion guides action and organizes behavior towards salient goals. To accomplish this, it is essential that the organism have a means of representing affect in the absence of immediate elicitors. It is proposed that the PFC plays a crucial role in affective working memory. -
How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test
Journal of Intelligence Article How Multidimensional Is Emotional Intelligence? Bifactor Modeling of Global and Broad Emotional Abilities of the Geneva Emotional Competence Test Daniel V. Simonet 1,*, Katherine E. Miller 2 , Kevin L. Askew 1, Kenneth E. Sumner 1, Marcello Mortillaro 3 and Katja Schlegel 4 1 Department of Psychology, Montclair State University, Montclair, NJ 07043, USA; [email protected] (K.L.A.); [email protected] (K.E.S.) 2 Mental Illness Research, Education and Clinical Center, Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA 19104, USA; [email protected] 3 Swiss Center for Affective Sciences, University of Geneva, 1205 Geneva, Switzerland; [email protected] 4 Institute of Psychology, University of Bern, 3012 Bern, Switzerland; [email protected] * Correspondence: [email protected] Abstract: Drawing upon multidimensional theories of intelligence, the current paper evaluates if the Geneva Emotional Competence Test (GECo) fits within a higher-order intelligence space and if emotional intelligence (EI) branches predict distinct criteria related to adjustment and motivation. Using a combination of classical and S-1 bifactor models, we find that (a) a first-order oblique and bifactor model provide excellent and comparably fitting representation of an EI structure with self-regulatory skills operating independent of general ability, (b) residualized EI abilities uniquely Citation: Simonet, Daniel V., predict criteria over general cognitive ability as referenced by fluid intelligence, and (c) emotion Katherine E. Miller, Kevin L. Askew, recognition and regulation incrementally predict grade point average (GPA) and affective engagement Kenneth E. Sumner, Marcello Mortillaro, and Katja Schlegel. 2021. in opposing directions, after controlling for fluid general ability and the Big Five personality traits. -
Curiosity and the Pleasures of Learning: Wanting and Liking New Information
COGNITION AND EMOTION 2005, 19 "6), 793±814 Curiosity and the pleasures of learning: Wanting and liking new information Jordan A. Litman University of South Florida, Tampa, FL, USA This paper proposes a new theoretical model of curiosity that incorporates the neuroscience of ``wanting'' and ``liking'', which are two systems hypothesised to underlie motivation and affective experience for a broad class of appetites. In developing the new model, the paper discusses empirical and theoretical limita- tions inherent to drive and optimal arousal theories of curiosity, and evaluates these models in relation to Litman and Jimerson's "2004) recently developed interest- deprivation "I/D) theory of curiosity. A detailed discussion of the I/D model and its relationship to the neuroscience of wanting and liking is provided, and an inte- grative I/D/wanting-liking model is proposed, with the aim of clarifying the complex nature of curiosity as an emotional-motivational state, and to shed light on the different ways in which acquiring knowledge can be pleasurable. Curiosity is a gift, a capacity of pleasure in knowing. "Ruskin, 1819) The gratification of curiosity rather frees us from uneasiness than confers pleasure; we are more pained by ignorance than delighted by instruction. "Johnson, 1751) Curiosity may be defined as a desire to know, to see, or to experience that motivates exploratory behaviour directed towards the acquisition of new information "Berlyne, 1949, 1960; Collins, Litman, & Spielberger, 2004; Litman & Jimerson, 2004; Litman & Spielberger, 2003; Loewenstein, 1994). Like other appetitive desires "e.g., for food or sex), curiosity is associated with approach behaviour and experiences of reward "Berlyne, 1960, 1966; Loewenstein, 1994). -
Letters to the Editor
letters to the editor anticipatory SCRs for good decks than for advantageous. (Penalties never cancel the of reward or punishment hidden in the bad decks (Fig. 1d–f). gain, as in decks C & D.) The immediate deck from which subjects are about to Results suggest that across both exper- tendency to prefer the high reward does select, depending on whether anticipato- iments, card selection is driven by long- not need to be opposed in order to ry SCRs reflect negative or positive somat- term consequences, whereas anticipatory achieve. Apparent and ultimate goodness ic states, higher anticipatory SCRs also SCRs are driven by the immediate act to coincide. There is no conflict. Normal sub- coincide with the long-term conse- be performed, independently of the posi- jects should prefer decks A & B. quences—anticipation of a long-term tive or negative long-term value of the In the original task, the higher antici- negative or positive outcome. When antic- decision. In the original gambling task patory SCRs preceded card turns from ipatory SCRs do not develop, a support experiments5,6, anticipatory SCRs were bad decks; by contrast, in the modified mechanism for making advantageous interpreted as correlates of somatic mark- task, higher anticipatory SCRs preceded decisions under conflict and uncertainty ers that bias individuals’ decision-making. turns from good decks. Because higher falls apart, as was critically demonstrated However, by changing the schedule of anticipatory SCRs related to decks carry- in patients with prefrontal damage6. punishments and rewards in Experiment ing the immediate higher magnitude of Another explanation for the finding 2, we observed an opposite pattern of reward or punishment, the authors argue would be that high-magnitude anticipato- SCRs. -
Fear, Anger, and Risk
Journal of Personality and Social Psychology Copyright 2001 by the American Psychological Association, Inc. 2001. Vol. 81. No. 1, 146-159 O022-3514/01/$5.O0 DOI. 10.1037//O022-3514.81.1.146 Fear, Anger, and Risk Jennifer S. Lemer Dacher Keltner Carnegie Mellon University University of California, Berkeley Drawing on an appraisal-tendency framework (J. S. Lerner & D. Keltner, 2000), the authors predicted and found that fear and anger have opposite effects on risk perception. Whereas fearful people expressed pessimistic risk estimates and risk-averse choices, angry people expressed optimistic risk estimates and risk-seeking choices. These opposing patterns emerged for naturally occurring and experimentally induced fear and anger. Moreover, estimates of angry people more closely resembled those of happy people than those of fearful people. Consistent with predictions, appraisal tendencies accounted for these effects: Appraisals of certainty and control moderated and (in the case of control) mediated the emotion effects. As a complement to studies that link affective valence to judgment outcomes, the present studies highlight multiple benefits of studying specific emotions. Judgment and decision research has begun to incorporate affect In the present studies we follow the valence tradition by exam- into what was once an almost exclusively cognitive field (for ining the striking influence that feelings can have on normatively discussion, see Lerner & Keltner, 2000; Loewenstein & Lerner, in unrelated judgments and choices. We diverge in an important way, press; Loewenstein, Weber, Hsee, & Welch, 2001; Lopes, 1987; however, by focusing on the influences of specific emotions rather Mellers, Schwartz, Ho, & Ritov, 1997). To date, most judgment than on global negative and positive affect (see also Bodenhausen, and decision researchers have taken a valence-based approach to Sheppard, & Kramer, 1994; DeSteno et al, 2000; Keltner, Ells- affect, contrasting the influences of positive-affect traits and states worth, & Edwards, 1993; Lerner & Keltner, 2000).