Lauren M. Bylsma

Viewing facial expressions of pain engages cortical areas involved in the direct experience of pain.

Recent neuroimaging and neuropsychological work has begun to shed light on how the brain responds to the viewing of facial expressions of emotion. However, one important category of facial expression that has not been studied on this level is the facial expression of pain. We investigated the neural response to pain expressions by performing functional magnetic resonance imaging (fMRI) as subjects viewed short video sequences showing faces expressing either moderate pain or, for comparison, no pain. In alternate blocks, the same subjects received both painful and non-painful thermal stimulation. Facial expressions of pain were found to engage cortical areas also engaged by the first-hand experience of pain, including anterior cingulate cortex and insula. The reported findings corroborate other work in which the neural response to witnessed pain has been examined from other perspectives. In addition, they lend support to the idea that common neural substrates are involved in representing ones own and others affective states.

The conflict adaptation effect: it's not just priming.

Analyses of trial sequences in flanker tasks have revealed cognitive adaptation, reflected in a reduced interference effect following incompatible trials (Gratton, Coles, & Donchin, 1992). These effects have been explained on the basis of the response conflict monitoring model of Botvinick, Braver, Barch, Carter, and Cohen (2001), who proposed that preceding response conflict triggers stronger topdown control, leading to performance improvements on subsequent trials of similar context. A recent study (Mayr, Awh, & Laurey, 2003) has challenged this account, suggesting that the behavioral adaptations are confined to trial sequences of exact trial repetitions and can therefore be explained by repetition priming. Here, we present two experiments in which the sequential dependency effect was present even on trial sequences that did not involve stimulus repeats. We discuss the data with respect to the conflict-monitoring and repetition-priming accounts.

Emotional Reactivity to Daily Events in Major and Minor Depression

Although emotional dysfunction is an important aspect of major depressive disorder (MDD), it has rarely been studied in daily life. Peeters, Nicolson, Berkhof, Delespaul, and deVries (2003) observed a surprising mood-brightening effect when individuals with MDD reported greater reactivity to positive events. To better understand this phenomenon, we conducted a multimethod assessment of emotional reactivity to daily life events, obtaining detailed reports of appraisals and event characteristics using the experience-sampling method and the Day Reconstruction Method (Kahneman, Krueger, Schkade, Schwarz, & Stone, 2004) in 35 individuals currently experiencing a major depressive episode, 26 in a minor depressive (mD) episode, and 38 never-depressed healthy controls. Relative to healthy controls, both mood-disordered groups reported greater daily negative affect and lower positive affect and reported events as less pleasant, more unpleasant, and more stressful. Importantly, MDD and mD individuals reported greater reductions in negative affect following positive events, an effect that converged across assessment methods and was not explained by differences in prevailing affect, event appraisals, or medications. Implications of this curious mood-brightening effect are discussed.

Poor reported sleep quality predicts low positive affect in daily life among healthy and mood-disordered persons.

Sleep disturbance is a core symptom of mood disorders. However, surprisingly little is known about the relationship between sleep quality and ambulatory daily mood, especially in mood‐disordered populations. We assessed ambulatory positive affect (PA) and negative affect (NA) 10 times daily for three consecutive days with the computerized experience sampling method among persons with major depression (nu2003=u200335), minor depression (nu2003=u200325) and healthy controls (nu2003=u200336). Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI). Poorer sleep quality predicted lower ambulatory PA, even after accounting for the effects of diagnostic group and self‐reported anxiety. Conversely, sleep quality did not predict ambulatory NA once diagnostic group was accounted for. Analyzes of specific PSQI component scores indicated that poor subjective sleep quality and self‐reported daytime dysfunction were the sleep components most strongly tied to reports of low ambulatory PA. Impaired sleep quality may be responsible for reduced pleasurable experience in everyday life.

Distraction and Action Slips in an Everyday Task: Evidence for a Dynamic Representation of Task Context

We report here a novel and counterintuitive effect of distraction on routine sequential action. The effect, predicted by a recent computational model of sequential behavior, relates to the tendency for a momentary distraction, such as a brief interruption, to lead to subsequent slips of action. The specific prediction is that errors should be more likely following a distraction occurring toward the middle of a subtask sequence than following a distraction occurring at the end of a subtask. This was tested and confirmed in an experiment involving repeated performance of an everyday task (coffee making) under conditions involving frequent interruption. The observed effect provides differential support for existing models of sequential behavior and offers a highly constraining benchmark for future theories.

Does emotion predict the course of major depressive disorder? A review of prospective studies

PURPOSEnEmotional dysfunction is a hallmark of major depressive disorder (MDD). There has been wide interest in identifying the nature and significance of emotional deficits in MDD. Given the paramount goal of identifying etiological markers of MDD that can sharpen prevention and treatment efforts, researchers have pursued emotion as a functionally significant factor and predictor of clinical course in MDD. This review is the first to summarize the literature examining emotion as a predictor of the clinical course of MDD.nnnMETHODnWe conducted a systematic review of all published studies reporting on the prospective relationship between positive and negative emotionality (PE and NE)--measured at the state or trait level--and the longitudinal course of MDD in diagnosed adults. Physiological, behavioural, and subjective indices of emotion were considered. The primary analyses encompassed 28 research reports that included data from 3,798 participants and tested a total of 60 hypotheses.nnnRESULTSnLower levels of PE predicted poorer MDD course with some consistency. Paradoxically, both lower levels of state NE and higher levels of trait NE predicted poorer MDD course. The relationships between emotionality and MDD course generally held even after initial depression symptom severity was taken into account.nnnCONCLUSIONnEmotion shows promise as a predictor of MDD course. Implications of these data for current theories of emotion and MDD, the apparently divergent relation between state and trait NE and course, and future directions to further clarify the functional significance of emotion in the context of MDD are discussed.

Is Crying Beneficial

Lay opinion and extensive survey data indicate that crying is a cathartic behavior that serves to relieve distress and reduce arousal. Yet laboratory data often indicate that crying exacerbates distress and increases autonomic arousal. In this article, we present a framework for explaining variations in the psychological effects of crying as a function of (a) how the effects of crying are measured, (b) conditions in the social environment, (c) personality traits of the crier, and (d) the affective state of the crier. Recognizing the heterogeneity of crying effects represents a step toward a more nuanced understanding of this behavior, including its implications for psychosocial adjustment.

Is blunted cardiovascular reactivity in depression mood-state dependent? A comparison of major depressive disorder remitted depression and healthy controls

Prior work has repeatedly demonstrated that people who have current major depression exhibit blunted cardiovascular reactivity to acute stressors (e.g., Salomon et al., 2009). A key question regards the psychobiological basis for these deficits, including whether such deficits are depressed mood-state dependent or whether these effects are trait-like and are observed outside of depression episodes in vulnerable individuals. To examine this issue, we assessed cardiovascular reactivity to a speech stressor task and a forehead cold pressor in 50 individuals with current major depressive disorder (MDD), 25 with remitted major depression (RMD), and 45 healthy controls. Heart rate (HR), blood pressure and impedance cardiography were assessed and analyses controlled for BMI and sex. Significant group effects were found for SBP, HR, and PEP for the speech preparation period and HR, CO, and PEP during the speech. For each of these parameters, only the MDD group exhibited attenuated reactivity as well as impaired SBP recovery. Reactivity and recovery in the RMD group more closely resembled the healthy controls. Speeches given by the MDD group were rated as less persuasive than the RMD or healthy controls speeches. No significant differences were found for the cold pressor. Blunted cardiovascular reactivity and impaired recovery in current major depression may be mood-state dependent phenomena and may be more reflective of motivational deficits than deficits in the physiological integrity of the cardiovascular system.

Regularization in Short-Term Memory for Serial Order.

Previous research has shown that short-term memory for serial order can be influenced by background knowledge concerning regularities of sequential structure. Specifically, it has been shown that recall is superior for sequences that fit well with familiar sequencing constraints. The authors report a corresponding effect pertaining to serial recall errors. Undergraduate participants performed immediate serial recall on sequences of pseudowords generated on the basis of an artificial grammar. After extensive experience with this material, recall errors displayed a bias toward regularizing responses, response sequences more probable, with respect to the artificial grammar, than the originally presented stimulus sequence. This regularization effect squares well with recent trace redintegration and Bayesian models of serial recall, and appears to represent an analog of the schema-based error patterns observed in other domains of memory.

Toward an integrated account of object and action selection: a computational analysis and empirical findings from reaching-to-grasp and tool-use.

The act of reaching for and acting upon an object involves two forms of selection: selection of the object as a target, and selection of the action to be performed. While these two forms of selection are logically dissociable, and are evidently subserved by separable neural pathways, they must also be closely coordinated. We examine the nature of this coordination by developing and analyzing a computational model of object and action selection first proposed by Ward [Ward, R. (1999). Interactions between perception and action systems: a model for selective action. In G. W. Humphreys, J. Duncan, & A. Treisman (Eds.), Attention, Space and Action: Studies in Cognitive Neuroscience. Oxford: Oxford University Press]. An interesting tenet of this account, which we explore in detail, is that the interplay between object and action selection depends critically on top-down inputs representing the current task set or plan of action. A concrete manifestation of this, established through a series of simulations, is that the impact of distractor objects on reaching times can vary depending on the nature of the current action plan. In order to test the models predictions in this regard, we conducted two experiments, one involving direct object manipulation, the other involving tool-use. In both experiments we observed the specific interaction between task set and distractor type predicted by the model. Our findings provide support for the computational model, and more broadly for an interactive account of object and action selection.