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

When we familiarise with new faces over repeated exposures, it is in situations that have meaning for us. Here, Noad and Andrews (2023) ask whether meaningful context during exposure matters for the consolidation of faces into long-term memory. Participants will be shown video clips from TV shows that are ordered either in their original chronological sequence, preserving meaningful context, or in a scrambled sequence. It is expected that the original sequence will provide a better understanding of the narrative. The critical question is whether this will also be associated with differences in memory for the faces. Memory will be tested with images of the actor from the original clips (‘in show’) or images of the same actor from another show (‘out-of-show’), both immediately after exposure and following a four-week delay. It is predicted that memory for faces will be better retained across the delay when the original exposure was in a meaningful context, and that this benefit will be enhanced for ‘in-show’ images, where the person’s appearance matches with the original context. The pre-registered predictions and the targeted effect sizes for this study are informed by pilot data reported within the manuscript.

 

The Stage 1 manuscript was evaluated through an initial round of editorial review, followed by a further round of external review, after which the recommender judged that it met the Stage 1 criteria for in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/8wp6f
 
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:

 

 
References
 
1. Noad, K. & Andrews, T. J. (2023). The importance of consolidating perceptual experience and contextual knowledge in face recognition, in principle acceptance of Version 4 by Peer Community in Registered Reports. https://osf.io/8wp6f

Unconscious priming effects have fascinated not just psychologists but also ad-makers and consumers alike. A related phenomenon in perception is illustrated by presenting participants with two-tone images, which are degraded versions of images of objects and scenes. These two-tone images look like and are indeed judged as meaningless dark and light patches. Upon presenting the actual template image, however, the two-tone image is accurately recognized. This perceptual learning is abrupt, robust, and long-lasting (Daoudi et al., 2017). Surprisingly, Chang et al. (2016) showed that such perceptual disambiguation of two-tone images can happen even in the absence of conscious awareness of having seen the template image. 

 

Halchin et al. (2023) in the current study propose to conduct a conceptual replication of Chang et al. (2016) with important modifications to the procedures to address limitations with the earlier work. Specifically, there was no explicit manipulation of levels of conscious awareness of the template images in the original study. Therefore, miscategorization of low-confidence awareness as unaware could have led to an erroneous conclusion about unconscious priors guiding perceptual learning. Such miscategorization errors and how to tackle them are of interest to the broader field of consciousness studies. Furthermore, a conceptual replication of Chang et al. (2016) is also timely given that prior related work suggests that masking impairs not only conscious awareness of visual features but also blocks processing of higher-level information about the images (e.g. object category). 

 

To address the issues identified above, Halchin et al. (2023) propose to experimentally manipulate conscious awareness by masking the template image very quickly (i.e., a short stimulus onset asynchrony; SOA) or by allowing some more time to induce weak and strong conscious awareness, respectively. The SOAs were validated through pilot studies. Furthermore, they include a four-point perceptual awareness scale instead of the original yes/no options to gauge participants’ subjective awareness of the template images. The authors also propose multiple experiments to include different ways of testing participants’ objective ability to identify the masked template images. Last but not least, the proposed design includes a stronger control condition than the original study by using masked images created from related images (e.g. belonging to the same semantic category). Depending on the results obtained in the main experiments, the inclusion of this control allows the authors to conduct a third experiment to investigate whether the results in the first two can be explained by semantic priming. The proposed study is sufficiently powered (as demonstrated through simulations), and Bayesian statistical procedures will be used to test the main hypotheses. In summary, the proposed work offers a significant improvement in terms of experimental procedures over the original study. If the Chang et al. (2016) results are replicated, the stronger design in the current study is likely to lead to a better understanding of the mechanisms underlying unconscious priors guiding perceptual learning. On the other hand, a failure to replicate not just Chang et al. (2016)’s results but also effects across the three experiments in the current study would raise legitimate questions about the reality of unconscious information guiding perceptual learning. 

 

The study plan was refined across two rounds of review, with input from two external reviewers who both agreed that the proposed study is well designed, timely, and scientifically valid. The recommender then reviewed the revised manuscript and judged that the study met the Stage 1 criteria for in-principle acceptance (IPA).

 

URL to the preregistered Stage 1 protocol: https://osf.io/juckg
 
Level of bias control achieved: Level 3. At least some of the data/evidence that will be used to answer the research question already exists AND is accessible in principle to the authors BUT the authors certify that they have not yet accessed any part of that data/evidence.
 
List of eligible PCI-RR-friendly journals:

 

• Advances in Cognitive Psychology
• Collabra: Psychology
• Cortex
• Journal of Cognition
• Peer Community Journal
• PeerJ
• Psychology of Consciousness: Theory, Research and Practice
• Royal Society Open Science
• Studia Psychologica
• Swiss Psychology Open

 

 

1. Daoudi, L. D., Doerig, A., Parkosadze, K., Kunchulia, M. & Herzog, M. H. (2017). The role of one-shot learning in #TheDress. Journal of Vision, 17, 15-15. https://doi.org/10.1167/17.3.15 

 

2. Chang, R., Baria, A. T., Flounders, M. W., & He, B. J. (2016). Unconsciously elicited perceptual prior. Neuroscience of Consciousness, 2016. https://doi.org/10.1093/nc/niw008 

 

3. Halchin, A.-M., Teuful, C. & Bompas, A. (2023). Can one-shot learning be elicited from unconscious information? In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/juckg

The relationship between music and exercise has been studied for over a century, with implications for our understanding of biomechanics, physiology, brain function, and psychology. Listening to music while exercising is associated with a wide range of benefits, from increasing motivation, to reducing perceived exertion, inhibiting awareness of negative bodily signals, boosting mood, and ultimately improving physical performance. But while these ergogenic benefits of music are well documented, much remains to be discovered about how music alters brain function during exercise. One reason for this gap in understanding is the technical difficulty in recording brain activity during realistic exercise, as neuroimaging methods such as fMRI, EEG or MEG typically require participants to remain as still as possible.

 

In the current study, Guérin et al. (2023) will use the optical brain imaging technique of functional near infrared spectroscopy (fNIRS) to measure oxygenation of key brain areas during exercise. Unlike other neuroimaging methods, fNIRS has a high tolerance for motion artefacts, making it the ideal method of choice for the current investigation. The authors propose a series of hypotheses based on previous studies that observed a decrease in cerebral oxygenation during intense exercise, particularly within the medial prefrontal cortex (mPFC) and dorsolateral prefrontal cortex (dlPFC). If, as suggested, the prefrontal cortex is important for regulation of cognition and emotion during exercise, then the benefits of listening to music might arise by delaying or reducing this drop in prefrontal oxygenation.

 

Using a within-subject designs, Guérin et al. will combine an incremental exercise protocol involving a cycling task with three auditory conditions: asynchronous music (the active condition), listening to an audiobook (an auditory control) or silence (baseline control). Compared to the two control conditions, they predict that music exposure will increase oxygenation in prefrontal and parietal regions and will also delay the drop in oxygenation associated with intense exercise (specifically within dlPFC and mPFC). To test whether any such changes are specific for prefrontal and parietal cortex, they will also compare the haemodynamic responses of the occipital cortex between the auditory conditions, predicting no difference.

 

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/52aeb
 
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:
 

The Virtual Maze Task (VMT) is a digital desktop 2D spatial learning task that has been used for research into the effect of sleep and dreaming on memory consolidation (e.g. Wamsley et al, 2010). One limitation of this task has been low rates of reported dream incorporation. Eudave and colleagues (2023) have created an immersive virtual reality (iVR) version of the VMT, which they believe might be more likely to be incorporated into dreams. As an initial step in validating this task for research, they propose a within-subjects study to compare three measures of spatial learning between the 2D desktop and iVR versions. Based on a review of relevant literature, the prediction is that performance will be similar between the two task versions. The planned sample size (n = 62) is sufficient for a .9 power test of equivalence within effect size bounds of d = -.47 to .47. Additional independent variables (gender, perspective-taking ability) and dependent measures (self-reported cybersickness and sense of presence) will be recorded for exploratory analyses.

 

The study plan was refined across four rounds of review, with input from two external reviewers and the recommender, after which it was judged to satisfy the Stage 1 criteria for in-principle acceptance (IPA).†

 

URL to the preregistered Stage 1 protocol: https://osf.io/wba2v
 
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:
 

 

 

Eudave, L., Martínez, M., Valencia, M., & Roth D. (2023). Evaluation of spatial learning and wayfinding in a complex maze using immersive virtual reality. A registered report. In principle acceptance of Version 5 by Peer Community in Registered Reports.

 

Wamsley, E. J., Tucker, M., Payne, J. D., Benavides, J. A., & Stickgold, R. (2010). Dreaming of a learning task is associated with enhanced sleep-dependent memory consolidation. Current Biology, 20, 850–855. https://doi.org/10.1016/j.cub.2010.03.027