Title from title page of PDF (University of Missouri--St. Louis, viewed March 3, 2010). Includes bibliographical reference (p. 53-71).

Title from title page of PDF (University of Missouri--St. Louis, viewed February 23, 2010). Includes bibliographical references (p. 61-71).

No description available.

Using quantitative and qualitative data analytic techniques, the present study explores the parent-adolescent relationship from a pilot study of 15 triads (overall N = 45). First, the statistical relationship between positive relational affect and electrical brain activity was assessed during parent-adolescent conflict communication (N = 30). Specifically, using electroencephalography (EEG) technology, electrical brain activity was recorded during family problem-solving discussions between a mother, father, and adolescent child. Observational coding was used to determine participant and triad positive affect ratios (PARs). Principles of positive-to-negative affect were incorporated into an affective neuroscience framework and used as the theoretical basis for the quantitative portion of this research. Findings suggest that in relation to positive affect, hemispheric lateralization occurs during parent-adolescent problem-solving discussions. Second, the behavioral-family systems model of parent-adolescent conflict (Robin & Foster, 1989) was used to theoretically undergird the qualitative portion of the study. Based on this theoretical model, a thematic content analysis was conducted using transcripts from the triadic problem-solving discussions (N = 45). Patterns of parent-adolescent communication were assessed, and a modified grounded theory approach was applied to emergent communication themes that differed from those presented in the theory. Similarities and differences in conflict communication behaviors and positive affect ratios were compared between families. Contextual descriptions of each family are offered.

Depression in adolescence is a major health problem, associated with poor psychological function and key risk factors both for later illness and suicidal behaviours. The antidepressant fluoxetine is commonly used in this population and it is shown to have a favourable benefit-to-risk profile. However, controversy still exists about the use of antidepressants in young people and there is little research focusing on underlying mechanisms of wanted and unwanted actions in this group. This doctoral thesis aims to investigate, for the first time, the acute effects of fluoxetine on emotional processing, using a combination of behavioural and neuroimaging techniques. The aim is to achieve a greater understanding of the mechanisms underlying fluoxetine use in depressed adolescents, in light of differences seen in their clinical presentation and response to antidepressant drugs. In the first study (Chapter Two), a single dose of fluoxetine was shown to decrease the recognition of anger in a sample of young adult volunteers, an effect not previously seen in acute studies of older participants. This effect may be particularly relevant for the treatment of adolescent depression, in which symptoms of anger and irritability are often prominent. Beyond this, fluoxetine was shown to increase the recognition of positive vs. negative facial information, and also exerted an anxiolytic-like influence, eliminating the emotion-potentiated startle effect. However, no influence was seen in measures of attentional vigilance to threat. In an attempt to overcome methodological limitations of this study, a paradigm was developed that is particularly sensitive to the detection of automatic biases towards threatening information (Chapter Three). Chapter Four describes a neuroimaging study with depressed adolescents, in which a single dose of fluoxetine was found to reduce amygdala activity in response to anger. Early changes in amygdala activity to fear correlated with decreased symptoms of anxiety and depression in the first 7-10 days of treatment. Chapter Five explores the effects of acute fluoxetine in a sample of high trait anger males. This study replicated the finding that fluoxetine acts to increase the recognition of positive information, whilst showing preliminary evidence for a reduction in attentional vigilance to angry faces. Overall, fluoxetine was found to decrease the processing of anger across studies. This effect was seen alongside a broader influence on positive vs. negative information and anxiolytic-like properties. Together, these results indicate that fluoxetine has direct effects on processes that are especially relevant to adolescent depression and suggest a potential cognitive mechanism for the efficacy of this particular antidepressant in adolescent patients.

<p>Social fears gain in prominence among higher primates, including humans, where threats associated with other conspecifics become more common. Social fearfulness is expressed on a continuum, ranging from shyness to a diagnosable psychiatric disorder. Despite the wide prevalence and considerable distress associated with social anxiety, our understanding of its neural and cognitive correlates remains in its infancy and remains an imperative for future translational research. The current dissertation examined social anxiety by utilizing multiple experimental approaches and employing a broad range of measures involving neural, cognitive, behavioural and clinical assessments.</p> <p>Chapters 2 to 4 relied on nonclinical samples of adults selected for social anxiety from a large adult population. Chapters 2 and 3 employed event-related brain potentials to index distinct aspects of perceptual and cognitive processing in tasks that manipulated novelty under socio-emotional and affectively neutral contexts. The aim was to provide a fine-grained characterization of the information processing stages that are biased by social anxiety. Chapter 4 measured reaction times in a selective attention task that independently varied the temporal and energetic aspects of affective stimulus delivery to provide convergent evidence into how affective processing is perturbed by social anxiety. Chapter 5 employed a novel method of quantifying continuous EEG to examine large-scale brain activity during rest and symptom provocation in patients diagnosed with social anxiety disorder. The aim was to examine, for the first time, whether there are treatment-related changes in a measure that putatively indexes communication across different (cortical and subcortical) neuronal systems.</p> <p>Findings suggest that social anxiety is associated with a sensitization of (bottom-up) systems reacting to social threat and that these biases appear during the early, relatively automatic stages of information processing. Some of these systems may be susceptible to evidence-based psychological treatments that are correlated with changes in brain activity detectable in EEG patterns. <br /><br /></p> / Doctor of Philosophy (PhD)

<p dir="ltr">Abstract: Atypical frontal alpha asymmetry is the difference in EEG-measured alpha-band power between right and left hemispheres, and patterns of lateralization are thought to reflect motivational direction (approach/withdrawal) and affective processing. Increased rightward frontal alpha asymmetry is associated with tendency toward approach-related behavior often displayed in attention-deficit/hyperactivity disorder (ADHD), though findings have been inconsistent. While differences in results may be partially accounted for by within-diagnosis heterogeneity, growing evidence suggests individual response tendency and emotional salience of a situation may influence one another. Investigating the potential interactions between trait and state measured variables may therefore clarify lateralization patterns in ADHD. The current study measured frontal alpha asymmetry in a well-characterized sample of school-aged children with and without ADHD. EEG during standard resting-state and emotional passive-viewing tasks were recorded from 220 children (nADHD = 97). A semi-structured clinical interview and standardized rating scales were collected to assign DSM-5 diagnoses and temperament group belonging. Parent measures included the behaviorally-rated Temperament in Middle Childhood Questionnaire (TMCQ). Latent profile analysis within the ADHD group revealed two temperament subgroups: emotionally regulated and emotionally dysregulated (high anger and sadness). EEG assessment suggests children broadly produced a more rightward asymmetry while in resting state compared to a task-based condition, though show no notable differences between neutral and negative emotional task conditions. ADHD diagnostic status, temperament group, and sex assigned at birth did not impact patterns of asymmetry. Results emphasize measurement differences in frontal alpha asymmetry between lab-based tasks and further highlight the importance of state influences on alpha lateralization.</p>

The mirror neuron system consists of a specific class of visuomotor neurons, which fire for both observation and execution of an action (di Pellegrino et al., 1992), as well as showing differences for empathy and gender. Fifty males (M = 25.94) and fifty females (M = 25.48) watched short clips of a hand tapping fingers in a sequence in neutral and emotional settings. Participants were asked to imitate emotions while watching and repeating the finger sequences. A univariate ANOVA discovered significant differences in response times for males and females in the emotion trials, which were eliminated when empathy was included in the analysis. Findings show those higher in empathy are faster at imitation of a motor task in emotional settings. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2014. / FAU Electronic Theses and Dissertations Collection

This thesis aimed to extend the existing psychological and neural basis of social processing in Major Depressive Disorder. This investigation was an attempt to resolve current conflicts and gaps in the social affective neuroscience literature regarding social functioning in depression. Chapter 1 consisted of a general introduction to the current evidence-base and theoretical frameworks surrounding social processing more generally, and in depression more specifically. ‎Chapter 2 provided an exploration of the systemic behavioural biases in in those with depression compared to mentally healthy individuals using a range of social, affective and process measures implemented across the remaining chapters. Then followed a behavioural and neural investigation into self-relevant social processing in depression. Chapter 3 described the process of memory generation implemented across ‎ Chapter 4-6 using a script-driven paradigm. It further discussed the ecological validity of this paradigm using social autobiographical memories. Chapter 4 investigated the neural and behavioural responses to self-relevant autobiographical memories of social rejection and social inclusion in individuals with depression and in healthy controls. The next two chapters discussed the behavioural and neural basis of social processing in depression in response to others’ memories of social rejection and inclusion, using traditional and novel fMRI analysis methodologies in ‎Chapter 5 and ‎‎Chapter 6, respectively. The latter applied a novel intersubject correlation analysis to the same population of depressed and healthy controls as in Chapter 5. Then, Chapter 7 presented a future application of the script-driven imagery paradigm by investigating the effectiveness of different emotion regulation strategies in response to socially salient autobiographical memories in a population of healthy controls. Finally, Chapter 8 provided a general discussion bringing together behavioural and neural findings to provide a clearer understanding of social processing in Major Depressive Disorder. Current theoretical frameworks were used to guide the interpretation of these findings.

Affect and cognition have traditionally been considered mutually exclusive domains and their study has evolved into two separate research fields. In recent years, however, there is increasing evidence of affective modulations of cognitive processes and interest in the study of affective cognition has grown. This thesis presents analyses of data collected in four mixed-design experiments between 2009 and 2011, which were designed to investigate affective memory and its electrophysiological correlates, individual differences in said affective memory and electrophysiological correlates, the time-course of affective memory and attentional disengagement from affective stimuli respectively. The first aim of the research presented here was to further understanding of how affective content influences picture processing and memory. Event-related potentials (ERPs) provide a valuable tool for the investigation of modulations of cognitive processes, as their excellent temporal resolution allows for the dissociation between different processes contributing to behavioural outcomes. Several important results for the study of affective cognition are reported: The late positive potential (LPP) was shown to be modulated differentially by affective content when compared to a behavioural attentional disengagement task. While the behavioural measure of attention replicated findings from participants’ self-report of arousal, LPP enhancement did not. This novel finding demonstrates that the affective modulation of the LPP cannot be used as an electrophysiological marker of slowed attentional disengagement as is common in the literature. In the domain of recognition memory, affective modulation of performance was shown to be time-sensitive, with effects developing faster for negative than for positive picture content. Affective pictures were associated with a less conservative response bias than neutral pictures but only negative pictures elicited better discrimination performance, driven by an increased in the rate of “remembered” as compared to merely familiar pictures. This was reflected in an increase of the ERP old/new effect for negative pictures in the 500 to 800ms time window, the purported correlate of recollection. The late right-frontal old/new effect between 800 and 1500 ms post stimulus onset was shown to be attenuated by affective content, supporting the interpretation of the late right-frontal effect as a correlate of relevance detection over a retrieval success interpretation. In combination, the findings add weight to the conclusion that affective content enhances memory through selective memory sparing for affective stimuli. Novel evidence for gender differences in affective cognition was found. Comparisons between female and male participants revealed that the affective modulation of the late right-frontal effect differs between the genders, underlining the importance of assessing and understanding gender differences as part of the study of affective cognition. Brain-derived neurotrophic factor (BDNF) gene val66met single nucleotide polymorphism (SNP), a small genetic change that affects the functioning of BDNF, a protein that plays an important role in neuron growth, differentiation and survival, is shown here to also affect the interaction of affect and cognition. BDNF val66met genotype modulated the early “familiarity” old/new effect selectively in response to positive pictures. The present study clearly demonstrates the value of the ERP technique in the investigation of individual differences in affective and cognitive processing and the need to take such individual differences into account as part of the endeavour to fully understand the mechanisms of affective processing, cognition and affective cognition. A better understanding of the role of gender and genetic differences in the affective modulation of affective processing and memory will have important practical implications in fields where affect and cognition interact.