Affective Neuroscience Research Articles

Fear, learning, and the amygdala: a personal reflection in honor of Joseph LeDoux.

In honor of Joseph LeDoux's retirement from an illustrious career in science, I offer a personal reflection on how my graduate training experiences in his lab shaped my subsequent career trajectory and the development of my views on human amygdala function and the scientific enterprise. I discuss the values of openness to scientific exploration and of multi-methodological integration, both of which distinguished his laboratory over the years. I highlight the unique historical context in which the lab's foundational discoveries on the emotional brain occurred and the importance of embracing new technologies to advance an understanding of brain-behavior relationships in affective neuroscience.

Depressive symptoms and suicidal ideation in sexual minority adolescents: An examination of social reward responsiveness and support as moderators

Sexual minority (SM) youth are at increased risk of depression and suicidal ideation (SI), due in part to discrimination and other stressors. This raises questions about social factors that may increase risk or resilience to stressors commonly faced by SM youth. The goal of this multimethod study was to examine both neural processing of social feedback and perceived social support as potential moderators of the association between SM identity, depressive symptoms, and endorsement of SI in adolescents. For this study, 165 adolescents aged 14–17 (22.42 % identifying as SM) were oversampled for current depression. Participants self-reported social support, depressive symptoms, and SI. Electroencephalogram (EEG) was recorded while participants completed a computerized peer interaction task in which the reward positivity (RewP) component was measured in response to social acceptance vs. rejection feedback. We tested social RewP and social support as moderators of associations between SM identity, depressive symptoms, and whether SI was reported. SM youth reported lower social support and elevated depressive symptoms and were more likely to endorse SI compared to non-SM youth. Social RewP moderated the associations between SM identity, depressive symptoms, and SI such that SM youth with blunted neural responses to social acceptance had higher depression and were more likely to endorse SI. Lower social support was associated with greater depressive symptoms and SI, but social support was not a significant moderator of the association between SM identity and symptoms. This is among the first studies to use affective neuroscience methods to examine social processes in SGM youth and our findings underscore the role of social factors in SGM youth mental health.

Why Do Some Depressive Patients Have Suicidal Ideation but Others Not? Suicidal Ideation From the Perspective of Affective Neuroscience Personality Traits.

Although major depression is the disorder most frequently associated with suicidal behavior, it is unclear that major depressive disorder patients may develop suicidal ideation. Basic affective system theory may provide a novel and beneficial viewpoint in this field. The goal of this study was to investigate the basic affective system in relation to suicidal ideation in individuals with depression. The study population comprised 160 participants who had been formally diagnosed with major depressive disorder. Participants were divided into two groups according to whether they had suicide ideation (depression with suicide [DS]) (N=93) or not (depression with no suicidal ideation [DNS]) (N=67). The Beck Depression Inventory (BDI), the Suicide Probability Scale (SPS), the Beck Hopelessness Scale (BHS), and the Affective Neuroscience Personality Scale (ANPS) were applied. Statistical Product and Service Solutions (SPSS) 24 and the SPSS macroprocess, which were specifically developed for assessing complex models including serial mediators, were used to analyze the data. The mean age of all participants was 31.1±11 years, and most of them were female (65%). The DS group had a higher family history of psychiatric medication use and suicidal attempts. In addition, BDI, BHS, and SPS total scores were higher, as well as ANGER subscale scores were higher in the DS group. In mediation analysis, the ANGER subscale significantly predicted the presence of suicide ideation. We observed a direct effect of the ANGER subscale score on suicide ideation as well as an indirect effect of the ANGER subscale score on suicidal ideation via depression severity. Higher scores on ANGER are associated with suicidal ideation. Neurobiological correlates, including the ANGER system, may be promising in understanding suicidal behaviors.

Functional brain connectivity changes associated with day-to-day fluctuations in affective states

Affective neuroscience has traditionally relied on cross-sectional studies to uncover the brain correlates of affects, emotions, and moods. Such findings obfuscate intraindividual variability that may reveal meaningful changing affect states. The few functional magnetic resonance imaging longitudinal studies that have linked changes in brain function to the ebbs and flows of affective states over time have mostly investigated a single individual. In this study, we explored how the functional connectivity of brain areas associated with affective processes can explain within-person fluctuations in self-reported positive and negative affects across several subjects. To do so, we leveraged the Day2day dataset that includes 40 to 50 resting-state functional magnetic resonance imaging scans along self-reported positive and negative affectivity from a sample of six healthy participants. Sparse multivariate mixed-effect linear models could explain 15% and 11% of the within-person variation in positive and negative affective states, respectively. Evaluation of these models’ generalizability to new data demonstrated the ability to predict approximately 5% and 2% of positive and negative affect variation. The functional connectivity of limbic areas, such as the amygdala, hippocampus, and insula, appeared most important to explain the temporal dynamics of affects over days, weeks, and months.

The Affective Neuroscience Personality Scales (ANPS) in Slovenia: Validation of the Six Primary Scales Across Three ANPS Versions

Abstract To assess primary emotions in subcortical brain regions across all mammals, the affective neuroscience personality scales (ANPS) were created for use in research involving human subjects. Later revisions of the scales have been validated across many countries and are used in diverse fields of psychology. The ANPS revisions culminated in the most recent ANPS 3.1. In this study, we evaluated the psychometric properties of the ANPS 3.1 and its two abbreviated versions (affective neuroscience personality scales – brief (BANPS) and affective neuroscience personality scales – short version (ANPS-S)) in a Slovenian community sample of 502 young adults. We simultaneously examined several kinds of validity evidence across the three versions: construct validity, internal reliability, and convergent validity. Our findings revealed acceptable construct validity of the six-factor model of the BANPS that was superior to the ANPS-S and particularly to the ANPS 3.1. The latter exhibited incremental fit issues noted in previous versions. However, we revealed sufficient internal reliability and convergent validity of the scale scores against the Big Five personality traits, and the frequency of the participants’ recently felt positive and negative emotions across all three ANPS versions. Testing the measurement invariance of BANPS across sex suggested full metric invariance and partial scalar invariance which allows direct score comparisons between males and females.

Basic Affective Systems and Sex Differences in the Relationship between Anger and Fear.

The possible interactions between anger and fear have not been widely explored in the psychological literature. Fear and anger are currently beginning to be studied by looking at their interrelationships, rather than seeing them as simply opposing emotions. Furthermore, there is a tendency to think that anger is more typical of men and fear of women. Our contribution proposes a particular perspective of affective neuroscience. The objectives of the study are as follows: (1) to assess possible differences in affective systems, and states and traits of anger in relation to biological sex; (2) to assess correlations between ANGER, FEAR, and SADNESS, as well as state and trait anger in both a female and male sample; (3) to assess possible differences in basic affective systems in relation to different levels of ANGER, FEAR, and SADNESS, state and trait anger, in female and male samples. A non-clinical sample of 339 females and 99 males completed the ANPS 3.1 to assess basic affective states and the STAXI-2 to assess anger states and traits. No significant differences were found for ANGER and FEAR scores and for state and trait scores between the male and female samples. Clear correlations emerged (p < 0.01) between SADNESS and FEAR in both the female and male samples. Among the differences that emerged in the affective systems, we emphasise that in the female group, the highest scores on the SEEKING and PLAY scales are expressed by the group of women who have the lowest scores in FEAR; PLAY and CARE also vary in relation to different scores in SADNESS. Given the importance of the SEEKING and PLAY variables, it is of paramount importance to monitor the environmental and relational situations to guarantee that women, too, are provided with the conditions of safety and protection that are prerequisites for their well-being and the positive expression of their resources.

Addressing inconsistency in functional neuroimaging: A replicable data-driven multi-scale functional atlas for canonical brain networks.

The advent of various neuroimaging methodologies has greatly aided in the conceptualization of large-scale brain networks in the field of cognitive neuroscience. However, there is inconsistency across studies in both nomenclature and the functional entities being described. There is a need for a unifying framework which standardizes terminology across studies while also bringing analyses and results into the same reference space. Here we present a functional whole-brain atlas of canonical brain networks derived from more than 100k resting-state fMRI datasets. These data-driven networks are highly replicable across datasets as well as multiple spatial scales. We have organized, labeled, and described them with terms familiar to the fields of cognitive and affective neuroscience in order to optimize their utility in future neuroimaging analyses and enhance the accessibility of new findings. The benefits of this atlas are not limited to future template-based or reference-guided analyses, but also extend to other data-driven neuroimaging approaches across modalities, such as those using blind independent component analysis (ICA). Future studies utilizing this atlas will contribute to greater harmonization and standardization in functional neuroimaging research.

Investigating the network ties between affect, attachment, and psychopathology

ObjectivesRecent years have seen an increased interest regarding theoretical and empirical associations of adult attachment security and primary affective traits concerning psychiatric disorders. In this study, network analysis technique is applied to dissect the links between both psychodynamic personality constructs and an array of psychopathological symptoms. MethodsA total sample of 921 (69.9 % female) participants from the general population was investigated. A regularized cross-sectional partial correlation network between attachment (Experiences in Close Relationships-Revised [ECR-RD8]), primary affective traits (Brief Affective Neuroscience Personality Scales [BANPS-GL]) and psychopathological symptoms (ICD-10-Symptom-Rating Questionnaire [ISR]) was estimated via the EBICglasso algorithm. Node centrality, predictability and bridge centrality were analyzed. To evaluate the stability of the network and evaluate the significance of differences, we employed bootstrap techniques. ResultsThe network was found to be stable, allowing reliable interpretations. We observed SADNESS, as well as depressive, PTSD and anxiety symptoms as the most influential nodes within the investigated network. Attachment AV and SADNESS were observed as nodes with the highest bridge centrality. ConclusionsThe results provide a data-driven in-depth look into the complex dynamics between psychopathological symptoms, attachment security and basic affective traits. Results underscore the critical interconnections between affect, attachment, and psychopathology, advocating for a psychodynamically informed systems approach in psychological research that considers the affective dimensions underlying human mental health.

Affective neuroscience personality traits in opioid use disorder patients: The relationship with earlier onset of substance use, the severity of addiction, and motivational factors to quit opiate use.

This study aims to explore the relationship between affective personality traits and opioid use disorder (OUD), including factors such as motivation to quit, addiction severity, and age of onset of drug use. This study included 141 patients with opioid addiction (OAP) and 160 age- and sex-matched healthy controls (HC). OAP were interviewed and diagnosed according to DSM-5 criteria. HC were screened for past or current drug use. Participants completed sociodemographic forms and the Affective Neuroscience Personality Scale (ANPS), and the OAP group also completed the Addiction Profile Index (API). SEEK, PLAY, and SADNESS were identified as different affective personality traits between OAP and HC groups. Addiction severity was positively correlated with SADNESS and ANGER, while the age of onset of drug use was correlated with ANGER. Risk factors for OA include family history of substance abuse, low education, and low PLAY scores, whereas risk factors for earlier substance use onset are childhood trauma and high ANGER scores. This study highlights the importance of understanding affective personality traits in OUD. These findings may deepen our understanding of the underlying mechanisms of OUD. The identification of these affective systems may have implications for the development of personalized prevention and treatment strategies.

Quantification choices for individual differences: An example of mapping self-report to psychophysiological responses

A popular focus in affective neuroscience research has been to map the relationships between individual differences (e.g. personality and environmental experiences) and psychophysiological responses, in order to further understand the effect of individual differences upon neurobehavioral systems that support affect and arousal. Despite this trend, there have been a lack of practical examples demonstrating how the quantification of individual differences (e.g. categorical or continuous) impacts the observed relationships between different units of analysis (e.g. self-report > psychophysiological responses). To address this gap, we conducted a two-stage aggregated meta-analysis of self-reported intolerance of uncertainty (IU) and skin conductance responses during threat extinction (k = 18, n = 1006) using different quantification choices for individual differences in self-reported intolerance of uncertainty (continuous, categorical via median split, and categorical via extremes – one standard deviation above/below). Results from the meta-analyses revealed that the different quantification techniques produced some consistent (e.g. higher IU was significantly associated with skin conductance responding during late extinction training) and inconsistent IU-related effects. Furthermore, the number of statistically significant effects and effect sizes varied based on the quantification of individual differences in IU (e.g. categorical, compared to continuous was associated with more statistically significant effects, and larger effect sizes). The current study highlights how conducting different quantification methods for individual differences may help researchers understand the individual difference construct of interest (e.g. characterisation, measurement), as well as examine the stability and reliability of individual difference-based effects and correspondence between various units of analysis.

What can Neuro-Psychoanalysis and Affective Neurosciences add to our Understanding of the Relational Dimensions of our Mind?

What can Neuro-Psychoanalysis and Affective Neurosciences add to our Understanding of the Relational Dimensions of our Mind?

Disgust as a primary emotional system and its clinical relevance.

This paper advocates for considering disgust as a primary emotional system within Panksepp's Affective Neuroscience framework, which has the potential to improve the efficacy of psychotherapy with obsessive-compulsive disorder, hypochondriasis, and emetophobia. In 2007, Toronchuk and Ellis provided comprehensive evidence that DISGUST system, as they defined it, matched all Panksepp's criteria for a primary emotional system. A debate ensued and was not unambiguously resolved. This paper is an attempt to resume this discussion and supplement it with the data that accumulated since then on DISGUST's relationship with the immune system and the role of DISGUST dysregulation in psychopathology. We hope that renewed research interest in DISGUST has the potential to improve clinical efficacy with hard-to-treat conditions.

Emotion Regulation, Relationship and Therapeutic Change in Analytical Psychology and Contemporary Psychodynamic Approaches.

All contemporary psychotherapies agree that (failing) emotion regulation is central to psychological disorders and that psychotherapy is about improving emotion regulation. In his research on the "emotion-laden" complex Jung put an emphasis on the role of failing emotion regulation in contributing to psychological disorders as well as to change in the process of psychotherapy, but he left this field of research and took a very different direction in favour of his archetype concept. Psychodynamic approaches generally argue that changes in emotion regulation are accomplished through corrective emotional experiences in the therapeutic relationship. Insights from affective neurosciences and attachment research have had a major influence on how the therapeutic relationship is constructed in contemporary psychodynamic approaches. There is a lack of similar developments in analytical psychology, which leads to substantial differences between the models of Jungian psychotherapy in contrast to other contemporary psychodynamic approaches. The implications of these differences for the practice of psychotherapy and especially the role of the therapeutic relationship are pointed out.

Contemporary neuroscientific concepts and psychotherapy: possibilities for integration

The article presents a review and analysis of literature aimed at grounding psychotherapy within the context of contemporary neuroscientific concepts. It is suggested that on the neural level psychotherapy is associated with changes in the mentalizing and empathy networks’ connectivity. Several mechanisms underlying these changes are proposed: enhancement of the prefrontal system’s role in arousal regulation, oxytocin-related modulation of the attachment system, and optimization of predictive coding of interpersonal perception, including the prediction error processing pathway. The hypotheses are supported by studies in social, cognitive, affective and behavioral neuroscience, research in the field of psychotherapy, and neuroimaging data on the effects of psychotherapy.

ENHANCING EMOTIONAL VOCABULARY FOR PSYCHOLOGICAL LITERACY

Various aspects of language development, comprehension and neurological functioning contribute to reflective psychological attitudes and indicate the importance of language in understanding human behaviour. In this perspective we focus our attention on the role of emotional language in shaping psychological literacy. Our research mostly relies on the findings of the Theory of Constructed Emotion (TCE) and EmotionFocused Therapy (EFT) that confirmed the importance of emotional vocabulary in the process of forming the effective understanding of the emotions and creating new conscious experiences. Due to the development of affective neuroscience, emotional vocabulary is presented as a necessary tool for psychological studies of personality, emotions and mood that aim to increase empirical evidence on the ways how emotions are organised in the mind. Special attention is given to the phenomenon of blended emotions that refer to the simultaneous experience of two or more emotions. We show that the awareness of the complexity of emotional experience is directly related to finding words that capture combinations of a variety of emotions. Keywords: emotional vocabulary; psychological literacy; emotion awareness; emotional psychology

The puzzle of mood rationality

AbstractMoods, orthodoxy holds, exist outside the space of reasons. A depressed subject may change their thoughts and behaviors as a result of their depression. But, according to this view, their mood gives them no genuine reason to do so. Instead, moods are mere causal influences on cognition. The issue is that moods, with their diffuse phenomenology, appear to lack intentionality (Directionlessness). But intentionality appears to be a necessary condition on rationality (The Content Constraint). Together, these principles conflict with the idea that moods are rational states of mind (Mood Rationality). The inconsistency of these three principles is the Puzzle of Mood Rationality. Now to many, this puzzle is hardly vexing: we should reject Mood Rationality. But, I argue, Mood Rationality is true despite its unpopularity. Thus, we need another way of resolving the puzzle. To do so, I distinguish intentionality as a first‐personal, phenomenological notion from representation as a third‐personal, cognitive scientific notion. I then argue that moods satisfy a revised version of the Content Constraint and sketch an account of moods as representational but non‐intentional mental states, drawing on the Valuationist paradigm in affective neuroscience. I end by showing how this account enables us to explain moods’ rationality.

The relationship between attachment, primary emotions and positive/negative spirituality: a path analysis.

The present study investigates what may influence individuals to experience their religiosity/spirituality as either subjectively positive [religious or spiritual (r/s) wellbeing] or as negative (r/s struggles). Drawing on existing literature attachment insecurity and the seven primary emotions as outlined by Jaak Panksepp in Affective Neuroscience are identified as likely influences. The final sample consisted of 340 participants (age: M = 36, SD = 14.2; 68.5% = female), among which 65% self-identified as religious/spiritual. A path analysis was conducted to test a proposed mediation model in which the expected effects of primary emotions (B-ANPS) on r/s wellbeing (MI-RSWB) and r/s struggles (RSSS) were mediated through attachment insecurity (ECR-RD8). The data indicated that attachment insecurity fully mediated the relationships between the primary emotions SADNESS and LUST with r/s struggles. Furthermore, the primary emotions FEAR and ANGER displayed small direct effects on both r/s struggles and r/s wellbeing. Overall, the model, which demonstrated excellent model fit, was able to explain 30% of the variance of r/s struggles, 24% of attachment insecurity and 5% of r/s wellbeing. The findings suggest that primary emotions such as SADNESS and LUST substantially explain r/s struggles and that these relationships seem to be mediated through attachment. Moreover, r/s struggles seem to be qualitatively distinct from r/s wellbeing. Finally, a moderate link between LUST and attachment suggests that sexuality plays a significant role in (adult) attachment processes.

EMOKINE: A software package and computational framework for scaling up the creation of highly controlled emotional full-body movement datasets

EMOKINE is a software package and dataset creation suite for emotional full-body movement research in experimental psychology, affective neuroscience, and computer vision. A computational framework, comprehensive instructions, a pilot dataset, observer ratings, and kinematic feature extraction code are provided to facilitate future dataset creations at scale. In addition, the EMOKINE framework outlines how complex sequences of movements may advance emotion research. Traditionally, often emotional-‘action’-based stimuli are used in such research, like hand-waving or walking motions. Here instead, a pilot dataset is provided with short dance choreographies, repeated several times by a dancer who expressed different emotional intentions at each repetition: anger, contentment, fear, joy, neutrality, and sadness. The dataset was simultaneously filmed professionally, and recorded using XSENS® motion capture technology (17 sensors, 240 frames/second). Thirty-two statistics from 12 kinematic features were extracted offline, for the first time in one single dataset: speed, acceleration, angular speed, angular acceleration, limb contraction, distance to center of mass, quantity of motion, dimensionless jerk (integral), head angle (with regards to vertical axis and to back), and space (convex hull 2D and 3D). Average, median absolute deviation (MAD), and maximum value were computed as applicable. The EMOKINE software is appliable to other motion-capture systems and is openly available on the Zenodo Repository. Releases on GitHub include: (i) the code to extract the 32 statistics, (ii) a rigging plugin for Python for MVNX file-conversion to Blender format (MVNX=output file XSENS® system), and (iii) a Python-script-powered custom software to assist with blurring faces; latter two under GPLv3 licenses.

Unique affective profile of music-evoked nostalgia: An extension and conceptual replication of Barrett et al.'s (2010) study.

Nostalgia is a mixed emotion, often evoked by music. This study sought to conceptually replicate and extend Barrett et al.'s (see record 2010-09991-008) pioneering work exploring music-evoked nostalgia, where the authors identified person- and context-level predictors of the experience of nostalgia in music. In a sample of 582 adults across the United States, we identified self-selected nostalgic and musically matched nonnostalgic, familiar songs for each individual, using an online survey in 2021. The participants listened to music and indicated feelings of valence and arousal, followed by assessments of affect (Positive and Negative Affect Schedule, Short Form) and personality (Ten-Item Personality Inventory, Brief Affective Neuroscience Personality Scales, and Southampton Nostalgia Scale). Nostalgic songs were rated higher in valence and arousal than familiar, nonnostalgic control songs, and higher in mixed valence in some metrics. Individuals with higher trait-level Trait Nostalgia reported higher nostalgia ratings across nostalgic and control songs. Interactions between context- and person-level factors indicated that personality influenced the felt valence and arousal profile of music-evoked nostalgia, distinct from familiar control music. While some personality types found nostalgic music to make them feel more aroused and positive (those high in care, trait nostalgia, anger), others felt more negative while listening (those high in sadness). Last, we extend the personality profile of a highly nostalgic person; trait-level Trait Nostalgia was associated with care, play, agreeableness, extraversion, and neuroticism. We demonstrate affective and person-level contributors to music-evoked nostalgia observed in Barrett et al.'s (2010) hold even when controlling for familiarity and musical features. We provide novel insights on complex interactions supporting this emotion, in a larger and more diverse sample with personalized stimuli. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

More than labels: neural representations of emotion words are widely distributed across the brain.

Although emotion words such as "anger," "disgust," "happiness," or "pride" are often thought of as mere labels, increasing evidence points to language as being important for emotion perception and experience. Emotion words may be particularly important for facilitating access to the emotion concepts. Indeed, deficits in semantic processing or impaired access to emotion words interfere with emotion perception. Yet, it is unclear what these behavioral findings mean for affective neuroscience. Thus, we examined the brain areas that support processing of emotion words using representational similarity analysis of functional magnetic resonance imaging data (N = 25). In the task, participants saw 10 emotion words (e.g. "anger," "happiness") while in the scanner. Participants rated each word based on its valence on a continuous scale ranging from 0 (Pleasant/Good) to 1 (Unpleasant/Bad) scale to ensure they were processing the words. Our results revealed that a diverse range of brain areas including prefrontal, midline cortical, and sensorimotor regions contained information about emotion words. Notably, our results overlapped with many regions implicated in decoding emotion experience by prior studies. Our results raise questions about what processes are being supported by these regions during emotion experience.