Tracking transitional probabilities and segmenting auditory sequences are dissociable processes in adults and neonates

Since speech is a continuous stream with no systematic boundaries between words, how do pre-verbal infants manage to discover words? A proposed solution is that they might use the transitional probability between adjacent syllables, which drops at word boundaries. Here, we tested the limits of this mechanism by increasing the size of the word-unit to four syllables, and its automaticity by testing asleep neonates. Using markers of statistical learning in neonates’ EEG, compared to adult behavioral performances in the same task, we confirmed that statistical learning is automatic enough to be efficient even in sleeping neonates. We also revealed that: (1) Successfully tracking transition probabilities (TP) in a sequence is not sufficient to segment it. (2) Prosodic cues, as subtle as subliminal pauses, enable to recover words segmenting capacities. (3) Adults’ and neonates’ capacities to segment streams seem remarkably similar despite the difference of maturation and expertise. Finally, we observed that learning increased the overall similarity of neural responses across infants during exposure to the stream, providing a novel neural marker to monitor learning. Thus, from birth, infants are equipped with adult-like tools, allowing them to extract small coherent word-like units from auditory streams, based on the combination of statistical analyses and auditory parsing cues.

Research Highlights

• Successfully tracking transitional probabilities in a sequence is not always sufficient to segment it.
• Word segmentation solely based on transitional probability is limited to bi- or tri-syllabic elements.
• Prosodic cues, as subtle as subliminal pauses, enable to recover chunking capacities in sleeping neonates and awake adults for quadriplets.

     

Is avoidance of illness uncertainty associated with distress during oncology treatment? A daily diary study

Objective: The aim of this study was to explore the daily relationship between illness uncertainty, avoidance of uncertainty, well-being and treatment-related distress among patients with cancer receiving treatment with curative intent. It was hypothesised that daily illness uncertainty, daily avoidance of uncertainty and daily treatment-related distress would be negatively associated with daily well-being. It was also hypothesised that daily illness uncertainty and daily avoidance of uncertainty would be positively associated with daily treatment-related distress.

Design: Thirty-one patients receiving oncology treatment with curative intent completed a daily diary for seven consecutive days. Data were analysed using multilevel modelling.

Main outcome measures: Daily illness uncertainty, avoidance of illness uncertainty, treatment-related distress and well-being.

Results: As hypothesised, on days when patients with cancer reported heightened treatment-related distress they experienced diminished well-being. And on days when patients reported more experiential avoidance of illness uncertainty, they also experienced heightened levels of treatment-related distress. No other daily associations were significant.

Conclusion: These findings indicate that patients with cancer experience day-to-day fluctuations in distress and well-being throughout oncology treatment. Avoidance of illness uncertainty-related thoughts and/or emotions are associated with daily distress, but not daily well-being.     

Friend or foe? Postdivorce hostility among recently divorced individuals

High levels of hostility often occur during and postdivorce and may significantly affect the quality of life, parent–child relationships, and social functioning of divorcees. Moreover, hostility may predict aggressive and violent behavior. This study sought to (a) compare average general hostility levels of a large sample of Danish divorcees to the norms of the general adult Danish population, (b) compare general hostility levels between male and female divorcees, and (c) investigate the explanatory value of various sociodemographic and divorce-related factors on postdivorce general hostility and whether these factors differ across gender. Cross-sectional baseline data (N = 1,856) from a larger randomized controlled trial study was used in this study. Normative data from a general sample of Danish adults (N = 2,040) was used for comparisons of hostility levels between our study sample and the Danish background population. This study found that male and female divorcees did not report significantly different hostility levels. However, participants reported significantly higher hostility levels postdivorce than the comparative Danish norm sample. Significant predictors of postdivorce hostility were lower age, lower educational level, infidelity as a reason for divorce, higher degree of postdivorce conflict, worse communication with the former spouse, the former spouse as the initiator of the divorce, and new partner status with neither divorcees having a new partner, or only the former spouse having a new partner. The predictive strength of the factors did not differ across gender. The findings may be especially relevant for interventions targeting problematic outcomes postdivorce (e.g., preventing aggressive behavior).