Sleep is known to be crucial for human memory, but what about dreams? Previous research has shown that the content of dreams can be manipulated by specific stimuli or tasks prior to sleep, but whether incorporating tasks into dreams influences memory consolidation is less clear. Some studies have shown an association between incorporating memory tasks into dreams and later memory performance, while others show either no effect or weaker effects. Potential reasons for this variation include the targeting of different stages of sleep – including rapid eye moment (REM) and non-REM stages (NREM) – small sample sizes, and the fact that many previous studies do not employ declarative memory tasks, which have been found to benefit more from sleep compared with tasks that target procedural memory.

 

In the current study. Schoch et al. (2023) ask whether dreams are an epiphenomenon of sleep-dependent memory processing or, instead, whether they play a key role in memory consolidation – and if so, whether that role differs for subjective experiences during NREM and REM sleep stages. Using a declarative memory task, a serial awakening paradigm (in which participants are woken and tested during NREM or REM stages), and targeted memory reactivation (TMR), the authors will test two main hypotheses: that incorporating picture categories of a declarative memory task leads to immediate (next morning) and sustained (4 days later) improvement in memory performance (especially for NREM dreams); and second, whether TMR influences the reported content of dreams. The authors also build in a range of control analyses to confirm that the task was incorporated successfully into dreams and that TMR benefited memory performance.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review, initially at Nature Communications before being transferred to PCI RR for further evaluation (see review history below for details). Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/7dwjz

 

Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:

 

 

1. Schoch, S. F., Ataei, S., Salvesen, L., Schredl, M., Windt, J., Bernadi, G., Rasch, B., Axmacher, N., & Desler, M. (2023). The relationship of memory consolidation with task incorporations into dreams – A registered report, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/7dwjz

Screening instruments that aim to provide diagnostic classifications of gaming-related health problems derive from different ontologies and it is not known whether they identify equivalent prevalence rates of ‘gaming disorder’ or even the same individuals. Underpinned by this, Karhulahti et al. (2022) assessed how screening instruments that derive from different ontologies differ in identifying associated problem groups. A nationally representative sample of 8217 Finnish participants completed four screening measures to assess the degree of overlap between identified prevalence (how many?), who they identify (what characteristics?) and the health of their identified groups (how healthy?).

 

The results indicate that measures based on the ICD-11, DSM-5, DSM-IV, and self-assessment appear to be associated with lower mental health. However, these measures of gaming-related health problems differed significantly in terms of prevalence and/or overlap, suggesting that they identify different groups of people and that different problems or constructs are being measured by different instruments. These findings are important because they contribute to the rapidly growing literature on the ‘fuzziness’ of  constructs and measures relating to technology use. The authors recommend that researchers working with these measures should: (a) define their construct of interest; and (b) evaluate the construct validity of their instruments. Being able to answer these questions will enhance research quality and contribute to strengthened meta-analyses. Importantly, this will prevent hype around gaming-related disorders, allowing researchers to communicate clearly and appropriately without risk of confusing related yet different constructs.

 

The Stage 2 manuscript was evaluated by two of the reviewers who assessed it at Stage 1. Following revision, the recommender judged that the manuscript met the Stage 2 criteria and awarded a  positive recommendation. To ensure that the manuscript met the requirements of the PCI RR TOP guidelines, prior to this acceptance an email communication was sent to the authors by the recommender to ensure that study data were openly available on a temporary OSF link before the final data archive is full validated by the Finnish Social Sciences Data Archive (FSD). This is noted in the recommended preprint.

 

 

Level of bias control achieved: Level 6. No part of the data or evidence that was used to answer the research question existed prior to Stage 1 in-principle acceptance.

 

 

 

 

1. Karhulahti V.-M., Vahlo J., Martončik M., Munukka M., Koskimaa R. and Bonsdorff M. (2022). Ontological Diversity in Gaming Disorder Measurement: A Nationally Representative Registered Report. Peer-reviewed and recommended at Stage 2 by Peer Community in Registered Reports https://psyarxiv.com/qytrs

High frequency transcranial random noise stimulation (hf-tRNS) is a relatively novel form of non-invasive brain stimulation, thought to enhance neural excitability and facilitate processing in targeted brain areas. The evidence for the efficacy of hf-tRNS is mixed, so a high-powered test of the proposed facilitatory effects would be of value to the field. This Registered Report will target the human middle temporal complex (hMT+), an area with a well-established critical role in global motion processing. The protocol is adapted from a study by Ghin and colleagues (2018) but focusing on a sub-set of the original experimental conditions and using a fully within-subjects design (n=42). Global motion processing will be operationalised in terms of the coherence threshold for identification of the dominant direction of random-dot motion. The experiment will test the predicted facilitation of contralateral motion processing (reduced coherence threshold) during hf-tRNS to the left hMT+. The specificity of this effect will be tested by comparison to a sham stimulation control condition and an active stimulation control condition (left forehead). By targeting a brain area with a well-established critical role in behaviour, this study will provide important information about the replicability and specificity of the facilitatory effects of hf-tRNS.

 

Following two rounds of in-depth review, the recommender judged that the manuscript met the Stage 1 criteria and awarded in-principle acceptance (IPA).  
 
URL to the preregistered Stage 1 protocol: https://osf.io/bce7u
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 
 
List of eligible PCI RR-friendly journals:
 

 

1. Ghin, F., Pavan, A., Contillo, A., & Mather, G. (2018). The effects of high-frequency transcranial random noise stimulation (hf-tRNS) on global motion processing: an equivalent noise approach. Brain Stimulation, 11, 1263–75.

 

2. Caroll, M. B., Edwards, G. & Baker, C. I. (2022). Replicating the facilitatory effects of transcranial random noise stimulation on motion processing: A registered report, in principle acceptance of Version 7 by Peer Community in Registered Reports. https://osf.io/bce7u

Social media is a popular tool for online discussion and debate, bringing with it various forms of hostile interactions –  from offensive remarks and insults, to harassment and threats of physical violence. The nature of such online toxicity has been well studied, but much remains to be understood regarding strategies to reduce it. Existing theory and evidence suggests that a range of responses – including those that emphasise prosociality and empathy – might be effective at mitigating online toxicity. But do such strategies work in practice?

 

In the current study, Young Reusser et al (2023) propose an experiment to test the effectiveness of three types of responses to online toxicity – Benevolent Correction (including disagreement), Benevolent Going Along (including joking/agreement), or Retaliation (additional toxicity) – on how able participants feel to contribute to conversations, their belief that the toxicity would be reduced by the intervention, and their belief that justice had been restored. The findings promise to shed light on approaches for improving the health of online discourse.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).
 
URL to the preregistered Stage 1 protocol: https://osf.io/hfjnb (under temporary private embargo)

 

Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 

 
List of eligible PCI RR-friendly journals:

 

 

1. Young Reusser, A. I., Veit, K. M., Gassin, E. A., & Case, J. P. (2023). Responding to Online Toxicity: Which Strategies Make Others Feel Freer to Contribute, Believe That Toxicity Will Decrease, and Believe that Justice Has Been Restored? In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/hfjnb

Infant-directed speech (IDS) – colloquially known as “baby talk” – is a form of speech produced by parents that may be important for emotional bonding with children while also helping infants with early language development. In contrast to adult-directed speech (ADS), IDS is characterised by a higher and broader pitch range, slower speech rate, and shorter/simpler syntax. A significant body of research has studied the dynamics of IDS and shown that infants prefer IDS over ADS, however the great majority of this work has focused on maternal speech, leaving much to be discovered about the differences and similarities between paternal and maternal IDS, the relative preference infants exhibit for paternal IDS compared with ADS, and the role of paternal interaction in shaping these dynamics.

 

Using a Norwegian sample of 70 fathers and children, the proposed study by Robberstad et al. (2022) takes an important step into this less-explored domain, asking whether (and if so, how) fathers employ IDS when interacting with infants, whether any such modulation of speech is related to the amount of time they spend as a caregiver, whether infants show the same preferences for IDS over ADS in fathers as observed previously in mothers, and whether that preference is related to the amount of exposure the infant has to parental speech. The authors will analyse speech modulation using acoustic analysis, while preference for IDS will be tested using eye-tracking to measure infants’ overt gaze orientation while listening to IDS vs ADS.

 

The Stage 1 manuscript was evaluated over two rounds of in-depth review. Based on detailed responses to the reviewers' comments, the recommender judged that the manuscript met the Stage 1 criteria and therefore awarded in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/c43xu
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA. 
 
List of eligible PCI RR-friendly journals:
 

 

1. Robberstad, S., Kartushina, N. & Mayor, J. (2022). Fathers learning on the job: Role of paternity leave duration on paternal infant-directed speech and preference for male infant-directed speech in infants, in principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/sjupt