Envisioning motherhood: Mental-state language in caregiving narratives across the perinatal period

Nancy Suchman's work highlighted the fundamental role of maternal mentalization in maternal addiction, mental health, and caregiving challenges. In this study, we aimed to examine the role of mental-state language (MSL) as a measure of mentalization in prenatal and postnatal narratives and their sentiment in a sample of 91 primarily White mothers from the western United States, followed from the second trimester of pregnancy, through the third trimester, to 4 months postpartum. Specifically, we investigated the use of affective and cognitive MSL in prenatal narratives when mothers visualized caring for their baby and postnatal narratives when mothers compared their prenatal visualization to the current caregiving reality. Results indicated moderate consistency in MSL between the second and third trimesters, but prenatal and postnatal MSL was not significantly correlated. Across all time points, higher use of MSL was related to more positive sentiment, indicating an association between mentalization and positive caregiving representations across the perinatal period. Women used more affective than cognitive MSL in prenatal imagination of caregiving, but this pattern was reversed in their postpartum reflection. Implications on assessing parental mentalization prenatally and considering the relative dominance of affective and cognitive mentalizing are discussed while considering study limitations.     

The Suicidal Narrative and Its Relationship to the Suicide Crisis Syndrome and Recent Suicidal Behavior

In this study, we introduce the construct of the suicidal narrative, a hypothetical personal narrative linked to imminent suicide, and explore its relationship to near‐term suicidal risk and the suicide crisis syndrome (SCS). Psychiatric outpatients (N = 289) were administered the Columbia Suicide‐Severity Rating Scale (C‐SSRS), Suicide Crisis Inventory (SCI), and Suicide Narrative Inventory (SNI), a novel instrument combining the documented risk factors of Thwarted Belongingness, Perceived Burdensomeness, Humiliation, Social Defeat, Goal Disengagement, and Goal Reengagement. Dimensional measures of past month, lifetime, and past suicidal phenomena, incorporating ideation and behavior, were calculated from the C‐SSRS. Structural equation modeling was used to explore the interaction among variables. Factor analysis of the SNI yielded two orthogonal factors, termed Interpersonal and Goal Orientation. The former factor was comprised of Perceived Burdensomeness, Social Defeat, Humiliation, and Thwarted Belongingness, the latter of Goal Disengagement and Goal Reengagement. The Interpersonal factor correlated with both SCS severity and suicidal phenomena in each time frame and the Goal Orientation factor with no other variable. As hypothesized, the proposed model was significant for the past month only. Our findings support the construct of the suicidal narrative and its function as a near‐term suicidal risk factor.     

Single-Stage Prediction Models Do Not Explain the Magnitude of Syntactic Disambiguation Difficulty

The disambiguation of a syntactically ambiguous sentence in favor of a less preferred parse can lead to slower reading at the disambiguation point. This phenomenon, referred to as a garden-path effect, has motivated models in which readers initially maintain only a subset of the possible parses of the sentence, and subsequently require time-consuming reanalysis to reconstruct a discarded parse. A more recent proposal argues that the garden-path effect can be reduced to surprisal arising in a fully parallel parser: words consistent with the initially dispreferred but ultimately correct parse are simply less predictable than those consistent with the incorrect parse. Since predictability has pervasive effects in reading far beyond garden-path sentences, this account, which dispenses with reanalysis mechanisms, is more parsimonious. Crucially, it predicts a linear effect of surprisal: the garden-path effect is expected to be proportional to the difference in word surprisal between the ultimately correct and ultimately incorrect interpretations. To test this prediction, we used recurrent neural network language models to estimate word-by-word surprisal for three temporarily ambiguous constructions. We then estimated the slowdown attributed to each bit of surprisal from human self-paced reading times, and used that quantity to predict syntactic disambiguation difficulty. Surprisal successfully predicted the existence of garden-path effects, but drastically underpredicted their magnitude, and failed to predict their relative severity across constructions. We conclude that a full explanation of syntactic disambiguation difficulty may require recovery mechanisms beyond predictability.     

Association and dissociation between detection and discrimination of objects of expertise: Evidence from visual search

Expertise in face recognition is characterized by high proficiency in distinguishing between individual faces. However, faces also enjoy an advantage at the early stage of basic-level detection, as demonstrated by efficient visual search for faces among nonface objects. In the present study, we asked (1) whether the face advantage in detection is a unique signature of face expertise, or whether it generalizes to other objects of expertise, and (2) whether expertise in face detection is intrinsically linked to expertise in face individuation. We compared how groups with varying degrees of object and face expertise (typical adults, developmental prosopagnosics [DP], and car experts) search for objects within and outside their domains of expertise (faces, cars, airplanes, and butterflies) among a variable set of object distractors. Across all three groups, search efficiency (indexed by reaction time slopes) was higher for faces and airplanes than for cars and butterflies. Notably, the search slope for car targets was considerably shallower in the car experts than in nonexperts. Although the mean face slope was slightly steeper among the DPs than in the other two groups, most of the DPs’ search slopes were well within the normative range. This pattern of results suggests that expertise in object detection is indeed associated with expertise at the subordinate level, that it is not specific to faces, and that the two types of expertise are distinct facilities. We discuss the potential role of experience in bridging between low-level discriminative features and high-level naturalistic categories.     

Support for Self‐Censorship Among Israelis as a Barrier to Resolving the Israeli‐Palestinian Conflict

Self‐censorship, defined as an “act of intentionally and voluntarily withholding information from others in the absence of formal obstacles” often serves as a barrier to resolving intractable conflicts. Specifically, in order to protect the group, and in absence of objective constraints such as institutionalized censorship, individuals practice self‐censorship and support its practice by other society members. This prevents free flow and transparency of information, within a society, regarding the conflict and the adversary. In an attempt to investigate the factors that contribute to the functioning of self‐censorship as a sociopsychological barrier to conflict resolution, a longitudinal study was conducted among a large sample of Jews in Israel. The survey was administered in three waves: a few months before, during, and a few months after Israel's Operation Pillar of Defense in the Gaza Strip. The findings showed that armed confrontation can increase support for self‐censorship. In addition, the findings revealed that personal characteristics (e.g., authoritarianism, ethnocentrism, siege mentality) predicted support for self‐censorship, which, in turn, mediated the effect of personal characteristics on support for negotiations and for providing humanitarian aid. The theoretical as well as the applied implications of the findings are discussed.     

The effect of object–valence relations on automatic evaluation

Two experiments tested the effect of co-occurrence of a target object with affective stimuli on automatic evaluation of the target when the relation between the target and the affective stimuli suggests that they have opposite valence. Participants learned about targets that ended an unpleasant noise or a pleasant music. The valence of such targets is opposite to the valence of the affective stimuli that co-occur with them. Participants reported preference for targets that ended noise over targets that ended music, but automatic evaluation measures revealed the opposite preference. This suggests that automatic evaluation is sensitive to co-occurrence between stimuli more than to the relation between the stimuli, and that relational information has a stronger influence on deliberate evaluation than on automatic evaluation. These conclusions support the associative-propositional evaluation model (Gawronski & Bodenhausen, 2006), and add evidence regarding the sensitivity of the evaluative-conditioning effect to relational information.     

Investigating the role of response in spatial context learning

Recent research has shown that simple motor actions, such as pointing or grasping, can modulate the way we perceive and attend to our visual environment. Here we examine the role of action in spatial context learning. Previous studies using keyboard responses have revealed that people are faster locating a target on repeated visual search displays ("contextual cueing"). However, this learning appears to depend on the task and response requirements. In Experiment 1, participants searched for a T-target among L-distractors and responded either by pressing a key or by touching the screen. Comparable contextual cueing was found in both response modes. Moreover, learning transferred between keyboard and touch screen responses. Experiment 2 showed that learning occurred even for repeated displays that required no response, and this learning was as strong as learning for displays that required a response. Learning on no-response trials cannot be accounted for by oculomotor responses, as learning was observed when eye movements were discouraged (Experiment 3). We suggest that spatial context learning is abstracted from motor actions.     

Prefrontal brain activity predicts temporally extended decision-making behavior

Although functional neuroimaging studies of human decision-making processes are increasingly common, most of the research in this area has relied on passive tasks that generate little individual variability. Relatively little attention has been paid to the ability of brain activity to predict overt behavior. Using functional magnetic resonance imaging (fMRI), we investigated the neural mechanisms underlying behavior during a dynamic decision task that required subjects to select smaller, short-term monetary payoffs in order to receive larger, long-term gains. The number of trials over which the longterm gains accrued was manipulated experimentally (2 versus 12). Event-related neural activity in right lateral prefrontal cortex, a region associated with high-level cognitive processing, selectively predicted choice behavior in both conditions, whereas insular cortex responded to fluctuations in amount of reward but did not predict choice behavior. These results demonstrate the utility of a functional neuroimaging approach in behavioral psychology, showing that (a) highly circumscribed brain regions are capable of predicting complex choice behavior, and (b) fMRI has the ability to dissociate the contributions of different neural mechanisms to particular behavioral tasks.