The cognitive-affective neuroscience of the unconscious

There is an ongoing debate about how best to conceptualize the unconscious. Early psychodynamic views employed theories influenced by physics to explain clinical material, while subsequent cognitivist views relied on computational models of the mind to explain laboratory data. More recently, advances in cognitive-affective neuroscience have provided new insights into the workings of unconscious cognition and affect. We briefly review some of this recent work and its clinical implications.     

Anxiety meets fear in perception of dynamic expressive gaze

This study investigated in 2 experiments whether reflexive cuing of attention that occurs after perception of a gaze cue is greater for fearful than for happy faces in normal participants, as hypothesized from a social neuroscience perspective. To increase neuroecological validity, dynamic stimulus presentation was used to display faces that simultaneously morphed from a neutral expression into a happy or fearful one and shifted eye gaze from the center to the periphery. Shifts of attention resulting from a natural fearful gaze were expected to be related to participants' anxiety traits, in agreement with the often found increased selective attention to threat in anxious participants. Both hypotheses were confirmed: Fearful faces induced stronger gaze cuing than happy faces, and the strength of this cuing effect was correlated to participants' anxiety levels. These results suggest a neural network, which integrates the processing of gaze, expression, and emotional states to adaptively prime vigilance under threatening circumstances.     

Personal growth in adults' stories of life transitions

Abstract This study identified four themes of personal growth (integrative, intrinsic, agentic, and communal) in adults' stories of life transitions in careers and religions. Specific themes were expected to relate differentially to two forms of personality development (social-cognitive maturity and social-emotional well-being) and to transition satisfaction. Integrative themes correlated primarily with social-cognitive maturity (ego development; Loevinger, 1976), whereas intrinsic themes correlated primarily with social-emotional well-being. Agentic-growth themes correlated primarily with transition satisfaction, whereas communal-growth themes correlated primarily with global well-being. Themes of agentic and communal growth also differentiated the two types of transitions studied-changes in careers and changes in religions-in ways that both supported and contradicted traditional notions of those transitions. We discuss these findings in terms of narrative meaning making, the mature and happy person, and intentional self-development via life transitions.     

Development and validation of a Client Problem Profile and Index for drug treatment

The development of the Client Problem Profile and Index are described, and initial concurrent and predictive validity data are presented for a sample of 547 patients in outpatient methadone treatment. Derived from the TCU Brief Intake for drug treatment admissions, the profile covers 14 problem areas related to drug use (particularly cocaine, heroin/opiate, marijuana, other illegal drugs, and multiple drug use), HIV risks, psychosocial-functioning, health, employment, and criminality. Analyses of predictive validity show the profile and its index (number of problem areas) were significantly related to therapeutic engagement, during-treatment performance, and posttreatment follow-up outcomes. Low moderate to high moderate effect sizes were observed in analyses of the index's discrimination.     

Effects of adding a second reinforcement alternative: implications for Herrnstein's interpretation of r(e)

Herrnstein's hyperbola describes the relation between response rate and reinforcer rate on variable-interval (VI) schedules. According to Herrnstein's (1970) interpretation, the parameter r(e) represents the reinforcer rate extraneous to the alternative to which the equation is fitted (the target alternative). The hyperbola is based on an assumption that extraneous reinforcer rate remains constant with changes in reinforcer rate on the target alternative (the constant-r(e) assumption) and that matching with no bias and perfect sensitivity occurs between response and reinforcer ratios. In the present experiment, 12 rats pressed levers for food on a series of 10 VI schedules arranged on the target alternative. Across conditions, six VI values and extinction were arranged on a second alternative. Reinforcer rate on the second alternative, r2, negatively covaried with reinforcer rate on the target alternative for five of the six VI values on the second alternative, and significant degrees of bias and undermatching occurred in response ratios. Given covariation of reinforcer rate on the second and target alternatives, the constant-r(e) assumption can be maintained only by assuming that reinforcer rate from unmeasured background sources, rb, covaries with reinforcer rate on the second alternative such that their sum, r(e), remains constant. In a single-schedule arrangement, however, r(e) equals rb and thus rb is assumed to remain constant, forcing a conceptual inconsistency between single- and concurrent-schedule arrangements. Furthermore, although an alternative formulation of the hyperbola can account for variations in bias and sensitivity, the modified equation also is based on the constant-r(e) assumption and therefore suffers from the same logical problem as the hyperbola when reinforcer rate on the second alternative covaries with reinforcer rate on the target alternative.     

Comparison of fundus autofluorescence and minimum-motion measurements of macular pigment distribution profiles derived from identical retinal areas

The optical density of macular pigment was measured at twelve retinal locations in ten subjects by minimum motion photometry, comparing 460 nm with 580 nm or 550 nm. Fundus autofluorescence images were obtained for the same subjects with a scanning laser ophthalmoscope. Optical density was computed from mean calibrated grey-scale values for a central circular field and for annular segments, identical to areas tested psychophysically, and for complete annuli. Psychophysical assessments of optical density were similar irrespective of whether 550 nm or 580 nm was used. Optical density values derived psychophysically showed a linear correlation with assessments based on identical sampled areas of annular segments (slope = 0.98, r2 = 0.97) or complete annuli (slope = 0.89, r2 = 0.96) in autofluorescence images.     

Forgivingness, vengeful rumination, and affective traits

Trait forgivingness is the disposition to forgive interpersonal transgressions over time and across situations. We define forgiveness as the replacement of negative unforgiving emotions with positive, other-oriented emotions. Rumination has been suggested as a mediator between forgivingness and emotional outcomes; however, we suggest that different content of rumination leads to different outcomes after transgressions. In four studies of 179, 233, 80, and 66 undergraduate students, trait forgivingness was negatively correlated with trait anger, hostility, neuroticism, fear, and vengeful rumination and was positively correlated with agreeableness, extraversion, and trait empathy. The disposition to ruminate vengefully mediated the relationship between trait forgivingness and (1) anger-related traits and (2) both revenge motivations and state anger following a specific recent transgression, but it did not mediate between forgivingness and (1) fearfulness and (2) avoidance motivations following a specific transgression. Self-hate statements, a proxy for depressive rumination, mediated the relationship between forgivingness and both depression and fearfulness but not the relationship between forgivingness and trait anger. Future research should distinguish the contents of mental rumination following interpersonal transgressions.     

Publication bias in research synthesis: sensitivity analysis using a priori weight functions

Publication bias, sometimes known as the "file-drawer problem" or "funnel-plot asymmetry," is common in empirical research. The authors review the implications of publication bias for quantitative research synthesis (meta-analysis) and describe existing techniques for detecting and correcting it. A new approach is proposed that is suitable for application to meta-analytic data sets that are too small for the application of existing methods. The model estimates parameters relevant to fixed-effects, mixed-effects or random-effects meta-analysis contingent on a hypothetical pattern of bias that is fixed independently of the data. The authors illustrate this approach for sensitivity analysis using 3 data sets adapted from a commonly cited reference work on research synthesis (H. M. Cooper & L. V. Hedges, 1994).