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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. -
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 -
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. -
Empathy: a Social Cognitive Neuroscience Approach Lian T
Social and Personality Psychology Compass 3/1 (2009): 94–110, 10.1111/j.1751-9004.2008.00154.x Empathy: A Social Cognitive Neuroscience Approach Lian T. Rameson* and Matthew D. Lieberman Department of Psychology, University of California, Los Angeles Abstract There has been recent widespread interest in the neural underpinnings of the experience of empathy. In this review, we take a social cognitive neuroscience approach to understanding the existing literature on the neuroscience of empathy. A growing body of work suggests that we come to understand and share in the experiences of others by commonly recruiting the same neural structures both during our own experience and while observing others undergoing the same experience. This literature supports a simulation theory of empathy, which proposes that we understand the thoughts and feelings of others by using our own mind as a model. In contrast, theory of mind research suggests that medial prefrontal regions are critical for understanding the minds of others. In this review, we offer ideas about how to integrate these two perspectives, point out unresolved issues in the literature, and suggest avenues for future research. In a way, most of our lives cannot really be called our own. We spend much of our time thinking about and reacting to the thoughts, feelings, intentions, and behaviors of others, and social psychology has demonstrated the manifold ways that our lives are shared with and shaped by our social relationships. It is a marker of the extreme sociality of our species that those who don’t much care for other people are at best labeled something unflattering like ‘hermit’, and at worst diagnosed with a disorder like ‘psychopathy’ or ‘autism’. -
Reward and Emotion: an Affective Neuroscience Approach
Reward and emotion: An affective neuroscience approach David Sander1 & Lauri Nummenmaa2 1Swiss Center for Affective Sciences (CISA), Campus Biotech, and Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, Faculty of Psychology and Educational Sciences (FPSE), University of Geneva, Geneva, Switzerland 2TurKu PET Centre, TurKu University Hospital, and Department of Psychology, University of TurKu, Finland Address Correspondence to: Lauri Nummenmaa Turku PET Centre c/o Turku University Hospital FI-20520 Turku, Finland Email: [email protected] Tel: +358 50 574 7933 Acknowlegements This study was supported by the Academy oF Finland (grants #294897 and #332225), Sigrid Juselius stiftelse and Signe och Anet Gyllenberg’s stiftelse, and by the Swiss National Science Foundation (grant 100019_188966). DS and LN thank Brian Knutson For in-depth discussions concerning several aspects of this paper. Conflicts of interest None Abstract Pleasure and reward are central for motivation, learning, feeling and allostasis. Although reward is without any doubt an affective phenomenon, there is no consensus concerning its relationship with emotion. In this mini-review we discuss this conceptual issue both from the perspective of theories of reward and emotion as well as human systems neuroimaging. We first describe how the reward process can be understood and dissected as intertwined with the emotion process, in particular in light of the appraisal theories, and then discuss how different facets of the reward process can be studied using neuroimaging and neurostimulation techniques. We conclude that future worK needs to focus on mapping the similarities and differences across stimuli and mechanisms that are involved in reward processing and in emotional processing, and propose that an integrative affective sciences approach would provide means for studying the emotional nature of reward. -
Mindfulness Meditation–Based Pain Relief: a Mechanistic Account
Ann N Y Acad Sci. Author manuscript; available in PMC 2017 Jun 1. PMCID: PMC4941786 Published in final edited form as: NIHMSID: NIHMS791683 Ann N Y Acad Sci. 2016 Jun; 1373(1): 114–127. doi: 10.1111/nyas.13153 Mindfulness meditation–based pain relief: a mechanistic account Fadel Zeidan1 and David Vago2 1Department of Neurobiology and Anatomy, Wake Forest University School of Medicine, Winston-Salem, North Carolina 2Department of Psychiatry, Brigham and Women’s Hospital, Boston, Massachusetts Address for correspondence: Fadel Zeidan, Wake Forest University School of Medicine, 1 Medical Center Boulevard, Winston-Salem, NC 27157. [email protected] Copyright notice and Disclaimer The publisher's final edited version of this article is available at Ann N Y Acad Sci See other articles in PMC that cite the published article. Abstract Go to: Go to: Pain is a multidimensional experience that involves sensory, cognitive, and affective factors. The constellation of interactions between these factors renders the treatment of chronic pain challenging and financially burdensome. Further, the widespread use of opioids to treat chronic pain has led to an opioid epidemic characterized by exponential growth in opioid misuse and addiction. The staggering statistics related to opioid use highlight the importance of developing, testing, and validating fast- acting nonpharmacological approaches to treat pain. Mindfulness meditation is a technique that has been found to significantly reduce pain in experimental and clinical settings. The present review delineates findings from recent studies demonstrating that mindfulness meditation significantly attenuates pain through multiple, unique mechanisms—an important consideration for the millions of chronic pain patients seeking narcotic-free, self-facilitated pain therapy. -
Reading Emotion from Mouse Cursor Motions: Affective Computing Approach
Cognitive Science (2017) 1–49 Copyright © 2017 Cognitive Science Society, Inc. All rights reserved. ISSN: 0364-0213 print / 1551-6709 online DOI: 10.1111/cogs.12557 Reading Emotion From Mouse Cursor Motions: Affective Computing Approach Takashi Yamauchi, Kunchen Xiao Department of Psychological and Brain Science, Texas A&M University Received 1 March 2016; received in revised form 5 July 2017; accepted 22 August 2017 Abstract Affective computing research has advanced emotion recognition systems using facial expres- sions, voices, gaits, and physiological signals, yet these methods are often impractical. This study integrates mouse cursor motion analysis into affective computing and investigates the idea that movements of the computer cursor can provide information about emotion of the computer user. We extracted 16–26 trajectory features during a choice-reaching task and examined the link between emotion and cursor motions. Participants were induced for positive or negative emotions by music, film clips, or emotional pictures, and they indicated their emotions with questionnaires. Our 10-fold cross-validation analysis shows that statistical models formed from “known” partici- pants (training data) could predict nearly 10%–20% of the variance of positive affect and atten- tiveness ratings of “unknown” participants, suggesting that cursor movement patterns such as the area under curve and direction change help infer emotions of computer users. Keywords: Mouse cursor motion analysis; Affective computing; Choice reaching trajectory; Emotion -
An Affective Neuroscience Model of Boosting Resilience in Adults
An Affective Neuroscience Model of Boosting Resilience in Adults Golnaz Tabibnia University of California, Irvine Correspondence should be addressed to: Golnaz Tabibnia Department of Psychological Science University of California, Irvine 4201 Social and Behavioral Sciences Gateway Irvine, CA 92697 (949) 824-3002 Fax [email protected] Page 1 of 123 Abstract Although research has identified dozens of behavioral and psychosocial strategies for boosting resilience in adults, little is known about the common underlying pathways. A comprehensive review of these strategies using an affective neuroscience approach indicates three distinct general routes to resilience (Fig. 1A): 1) down-regulating the negative (e.g., exposure, cognitive reappraisal) by reducing distress-related responses of the amygdala, hypothalamic-pituitary-adrenal axis, and autonomic nervous system; 2) up-regulating the positive (e.g., optimism, social connectedness) by activating mesostriatal reward pathways, which in turn can buffer the effects of stress; and 3) transcending the self (e.g., mindfulness, religious engagement) by reducing activation in the default mode network, a network associated with self-reflection, mind-wandering, and rumination. Some strategies (e.g., social support) can boost resilience via more than one pathway. Under- or over-stimulation of a pathway can result in vulnerability, such as over- stimulation of the reward pathway through substance abuse. This tripartite model of resilience-building is testable, accounts for a large body of data on adult resilience, and makes new predictions with implications for practice. Keywords: resilience; well-being; emotion regulation; affective neuroscience; amygdala; stress; reward; default mode Page 2 of 123 1. Introduction Whether surviving a natural disaster, loss of a loved one, or violence, most people experience a traumatic event at some point in their lives. -
Cognitive Neuroscience Needs Affective Neuroscience (And Vice Versa)
Brain and Cognition 42, 89±92 (2000) doi:10.1006/brcg.1999.1170, available online at http://www.idealibrary.com on Cognitive Neuroscience Needs Affective Neuroscience (and Vice Versa) Richard J. Davidson University of WisconsinÐMadison We are continuously being bombarded by a myriad of diverse sensory stimuli. Recollections from our past and re¯ections upon our future add to this cacophony and we need to select among the vast array of stimuli to which we are exposed and approach what is useful to meet our appetitive needs and withdraw from what is harmful so we avoid situations of threat or danger. The successful negotiation of these life challenges requires an intact cognitive and affective system. The purpose of this brief essay is to underscore the importance of affect to various components of cognition and hint at some of the major advances that have been made in its neuroscienti®c study. In its beginning, the cognitive revolution did not include feelings within its scienti®c purview. There was a clear sense among the leading scientists of this era that the major problems of cognition would yield to an experimen- tal and/or computational analysis that did not require emotion. The most striking evidence of this is simply the absence of very many references to emotion in the classic works of cognitive science and cognitive neuroscience that helped to de®ne the ®eld (e.g., Neisser, 1967). This feelingless stance, however, is now yielding to a more balanced analysis and a renewed appreci- ation for the role that affect might play in the basic mechanisms of cognition. -
LNCS 7403, Pp
Affective Computing: A Reverence for a Century of Research Egon L. van den Broek TNO Technical Sciences P.O. Box 5050, 2600 GB Delft, The Netherlands Human Media Interaction (HMI), Faculty of EEMCS, University of Twente P.O. Box 217, 7500 AE Enschede, The Netherlands Karakter University Center, Radboud University Medical Center Nijmegen P.O. Box 9101, 6500 HB Nijmegen, The Netherlands [email protected] Abstract. To bring affective computing a leap forward, it is best to start with a step back. A century of research has been conducted on topics, which are crucial for affective computing. Understanding this vast amount of research will accelerate progress on affective comput- ing. Therefore, this article provides an overview of the history of affective computing. The complexity of affect will be described by discussing i) the relation between body and mind, ii) cognitive processes (i.e., attention, memory, and decision making), and iii) affective computing’s I/O. Sub- sequently, definitions are provided of affect and related constructs (i.e., emotion, mood, interpersonal stances, attitude, and personality traits) and of affective computing. Perhaps when these elements are embraced by the community of affective computing, it will us a step closer in bridg- ing its semantic gap. Keywords: affect, emotion, affective computing, biosignals, history, com- plexity, definitions, semantic gap. “The increasing tendency to ‘let’s see what the computer shows’ has dulled many investigators’ sensitivity to the basic rules of research, sometimes to the point that the definition of the problem is unclear. The speed and ease of statisti- cal computation, even of complex multivariate analysis involving Ns of 1000 or more, have tempted many investigators to submit all possible comparisons for analysis with little concern over the subtleties of multiple testing and the risk of type I errors.