Emotion and personality factors influence the neural response to emotional stimuli

2012 ◽  
Vol 35 (3) ◽  
pp. 156-157 ◽  
Author(s):  
Fionnuala C. Murphy ◽  
Michael P. Ewbank ◽  
Andrew J. Calder
Keyword(s):  
Individual Differences ◽  
Emotion Processing ◽  
Neural Response ◽  
Personality Factors ◽  
Emotional Stimuli ◽  
Human Emotion ◽  
Clinical Investigations ◽  
Neuroimaging Data

AbstractLindquist et al. assess the neural evidence for locationist versus psychological construction accounts of human emotion. A wealth of experimental and clinical investigations show that individual differences in emotion and personality influence emotion processing. These factors may also influence the brain's response to emotional stimuli. A synthesis of the relevant neuroimaging data must therefore take these factors into consideration.

Neuroimaging of Individual Differences: A Latent Variable Modeling Perspective

2018 ◽  
Author(s):  
Shelly Renee Cooper ◽  
Joshua James Jackson ◽  
Deanna Barch ◽  
Todd Samuel Braver
Keyword(s):  
Individual Differences ◽  
Individual Difference ◽  
Latent Variable ◽  
Structural Equation ◽  
Behavioral Measure ◽  
Equation Modeling ◽  
Latent Variable Modeling ◽  
Psychometric Theory ◽  
Human Connectome Project ◽  
Neuroimaging Data

Neuroimaging data is being increasingly utilized to address questions of individual difference. When examined with task-related fMRI (t-fMRI), individual differences are typically investigated via correlations between the BOLD activation signal at every voxel and a particular behavioral measure. This can be problematic because: 1) correlational designs require evaluation of t-fMRI psychometric properties, yet these are not well understood; and 2) bivariate correlations are severely limited in modeling the complexities of brain-behavior relationships. Analytic tools from psychometric theory such as latent variable modeling (e.g., structural equation modeling) can help simultaneously address both concerns. This review explores the advantages gained from integrating psychometric theory and methods with cognitive neuroscience for the assessment and interpretation of individual differences. The first section provides background on classic and modern psychometric theories and analytics. The second section details current approaches to t-fMRI individual difference analyses and their psychometric limitations. The last section uses data from the Human Connectome Project to provide illustrative examples of how t-fMRI individual differences research can benefit by utilizing latent variable models.

scholarly journals Normal observers show no evidence for blindsight in facial emotion perception

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Sivananda Rajananda ◽  
Jeanette Zhu ◽  
Megan A K Peters
Keyword(s):  
Emotion Processing ◽  
Ideal Observer ◽  
Facial Emotion ◽  
Perceptual Discrimination ◽  
Emotional Stimuli ◽  
Discrimination Ability ◽  
Normal Human ◽  
Neurologically Intact ◽  
Facial Emotion Perception ◽  
Rule Out

Abstract Some researchers have argued that normal human observers can exhibit “blindsight-like” behavior: the ability to discriminate or identify a stimulus without being aware of it. However, we recently used a bias-free task to show that what looks like blindsight may in fact be an artifact of typical experimental paradigms’ susceptibility to response bias. While those findings challenge previous reports of blindsight in normal observers, they do not rule out the possibility that different stimuli or techniques could still reveal perception without awareness. One intriguing candidate is emotion processing, since processing of emotional stimuli (e.g. fearful/happy faces) has been reported to potentially bypass conscious visual circuits. Here we used the bias-free blindsight paradigm to investigate whether emotion processing might reveal “featural blindsight,” i.e. ability to identify a face’s emotion without introspective access to the task-relevant features that led to the discrimination decision. However, we saw no evidence for emotion processing “featural blindsight”: as before, whenever participants could identify a face’s emotion they displayed introspective access to the task-relevant features, matching predictions of a Bayesian ideal observer. These results add to the growing body of evidence that perceptual discrimination ability without introspective access may not be possible for neurologically intact observers.

Neural response to emotional stimuli associated with successful antidepressant treatment and behavioral activation

2013 ◽  
Vol 151 (2) ◽  
pp. 573-581 ◽  
Author(s):  
Sakina J. Rizvi ◽  
Tim V. Salomons ◽  
Jakub Z. Konarski ◽  
Jonathan Downar ◽  
Peter Giacobbe ◽  
...  
Keyword(s):  
Behavioral Activation ◽  
Antidepressant Treatment ◽  
Neural Response ◽  
Emotional Stimuli

scholarly journals Opinion on monoaminergic contributions to traits and temperament

2018 ◽  
Vol 373 (1744) ◽  
pp. 20170153 ◽  
Author(s):  
T. W. Robbins
Keyword(s):  
Neural Networks ◽  
Individual Differences ◽  
Social Functioning ◽  
Personality Factors ◽  
Monoamine Neurotransmitters ◽  
Neural Basis ◽  
Theme Issue ◽  
Experimental Animals ◽  
Neuroscience Research ◽  
Definition Of

This article critically reviews evidence relating temperamental traits and personality factors to the monoamine neurotransmitters, especially dopamine and serotonin. The genetic evidence is not yet considered to be conclusive and it is argued that basic neuroscience research on the neural basis of behaviour in experimental animals should be taken more into account. While questionnaire and lexical methodology including the ‘Five Factor’ theory has been informative (mostly for the traits relevant to social functioning, i.e. personality), biologically oriented approaches should be employed with more objective, theoretically grounded measures of cognition and behaviour, combined with neuroimaging and psychopharmacology, where appropriate. This strategy will enable specific functions of monoamines and other neuromodulators such as acetylcholine and neuropeptides (such as orexin) to be defined with respect to their roles in modulating activity in specific neural networks—leading to a more realistic definition of their interactive roles in complex, biologically based traits (i.e. temperament). This article is part of the theme issue ‘Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences’.

Neurocircuitries of Emotion Processing Affected in Major Depressive Disorder

2019 ◽  
pp. 101-114
Author(s):  
Anjali Sankar ◽  
Cynthia H.Y. Fu
Keyword(s):  
Major Depression ◽  
Predictive Accuracy ◽  
Emotion Processing ◽  
Affective State ◽  
Brain Regions ◽  
First Episode ◽  
Neuroimaging Data ◽  
Multivariate Pattern ◽  
Future Work ◽  
Hallmark Feature

Impairments in processing emotions are a hallmark feature of depression. Advances in neuroimaging techniques have rapidly improved our understanding of the pathophysiology underlying major depression. In this chapter, we provide an overview of influential neural models of emotion perception and regulation and discuss the neurocircuitries of emotion processing that are affected. Major depression is characterized by impairments in widespread brain regions that are evident in the first episode. Models have sought to distinguish the neural circuitry associated with recognition of the emotion, integration of somatic responses, and monitoring of the affective state. In particular, there has been a preponderance of research on the neurocircuitries affected during processing of mood-congruent negative emotional stimuli in depression. While neuroimaging correlates have been investigated and models proposed, these findings have had limited clinical applicability to date. Novel methods such as multivariate pattern recognition applied to neuroimaging data might enable identification of reliable, valid, and robust biomarkers with high predictive accuracy that can be applied to an individual. Last, we discuss avenues for extension and future work.

scholarly journals Involuntary musical imagery as a component of ordinary music cognition: A review of empirical evidence

2020 ◽  
Vol 27 (6) ◽  
pp. 1195-1217
Author(s):  
Lassi A. Liikkanen ◽  
Kelly Jakubowski
Keyword(s):  
Individual Differences ◽  
Empirical Studies ◽  
Music Cognition ◽  
Future Research ◽  
Personality Factors ◽  
Extensive Literature ◽  
Musical Imagery ◽  
Mental Experience ◽  
Research Themes ◽  
Extensive Literature Search

AbstractInvoluntary musical imagery (INMI) refers to a conscious mental experience of music that occurs without deliberate efforts to initiate or sustain it. This experience often consists of the repetition of a short fragment of a melody, colloquially called an “earworm.” Here, we present the first comprehensive, qualitative review of published empirical research on INMI to date. We performed an extensive literature search and discovered, in total, 47 studies from 33 peer-reviewed articles that met the inclusion criteria for the review. In analyzing the content of these studies, we identified four major research themes, which concern the phenomenology, dynamics, individual differences, and musical features of INMI. The findings answer many questions of scientific interest—for instance, what is typical in terms of INMI frequency, duration, and content; which factors influence INMI onset; and whether demographic and personality factors can explain individual differences in susceptibility and responses to INMI. This review showcases INMI as a well-established phenomenon in light of a substantial body of empirical studies that have accumulated consistent results. Although the populations under study show an unfavorable bias towards Western, educated participants, the evidence depicts INMI as a universal psychological phenomenon, the possible function of which we do not yet fully understand. The concluding section introduces several suggestions for future research to expand on the topic.

Psychophysiological influences on personality trajectories in adolescent females exposed to child maltreatment

2019 ◽  
Vol 32 (4) ◽  
pp. 1390-1401 ◽  
Author(s):  
Raha Hassan ◽  
Harriet L. MacMillan ◽  
Masako Tanaka ◽  
Louis A. Schmidt
Keyword(s):  
Individual Differences ◽  
Child Maltreatment ◽  
Respiratory Sinus Arrhythmia ◽  
Brain Activity ◽  
Adolescent Females ◽  
Health Concern ◽  
Personality Factors ◽  
Alpha Power ◽  
Sinus Arrhythmia ◽  
Psychophysiological Measures

AbstractAlthough child maltreatment is a major public health concern, which adversely affects psychological and physical development, we know relatively little concerning psychophysiological and personality factors that may modify risk in children exposed to maltreatment. Using a three-wave, short-term prospective design, we examined the influence of individual differences in two disparate psychophysiological measures of risk (i.e., resting frontal brain electrical activity and respiratory sinus arrhythmia) on the trajectories of extraversion and neuroticism in a sample of female adolescents (N = 55; M age = 14.02 years) exposed to child maltreatment. Adolescents exposed to child maltreatment with relatively higher left frontal absolute alpha power (i.e., lower brain activity) at rest exhibited increasing trajectories of extraversion, and adolescents exposed to child maltreatment with relatively lower respiratory sinus arrhythmia at rest displayed increasing trajectories of neuroticism over 1 year. Individual differences in psychophysiological measures indexing resting central and peripheral nervous system activity may therefore differentially influence personality characteristics in adolescent females exposed to child maltreatment.

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