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

 

What are the neurophysiological correlates of paired associative stimulation (PAS) in inducing plastic changes in human motor cortex (M1)? Here, Arrigoni and colleagues (2024) will apply transcranial magnetic stimulation (TMS) to left M1 paired with electrical stimulation of the right median nerve at an ISI of 25 ms or 10 ms to induce long-term potentiation (LTP) or long-term depression (LTD), respectively. Arrigoni and colleagues (2024) will determine if these stimulation pairings effect cortical excitability using motor-evoked potentials (MEPs) and TMS-evoked potentials (TEPs). Specifically, they hypothesize PASLTP will increase the peak-to-peak amplitude of MEPs, whereas PASLTD will decrease the amplitude, replicating previous work. They will then extend these previous findings by examining TEPs. The authors anticipate modulation of the P30 and P60, which are TEPs thought to reflect local cortical excitability. They plan to account for the MEP reafference which may also mediate the P60 amplitude by stimulating at sub- and supra- motor threshold. Further, they hypothesize an increase of the N100, a marker of inhibitory processing mediated by GABA, by PASLTD. Finally, the authors will also examine the impact of cortical excitability over time to determine the duration of the PAS effects.   

 

This detailed examination of TEPs following PAS stimulation will determine which TEPs could be used as biomarkers with the induction of LTP and LTD through stimulation. The authors have built in an MEP replication for the PAS stimulation, supporting previous literature and acting as a positive control.  

 

The Stage 1 manuscript was evaluated by three expert reviewers across two rounds. Following in-depth review and responses from the authors, the recommender determined that Stage 1 criteria was met and awarded in-principle acceptance (IPA).

 

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

 

References
 
1. Arrigoni, E., Bolognini, N., Pisoni, A. & Guidali, G. (2024). Neurophysiological correlates of plasticity induced by paired associative stimulation (PAS) targeting the motor cortex: a TMS-EEG registered report. In principle acceptance of Version 3 by Peer Community in Registered Reports. https://osf.io/detjc

One of the hallmarks of cognitive control is the ability to flexibly update attention and action when goals change. The prefrontal cortex has long been identified as important for such updating, but much remains to be understood about the anatomical and temporal mechanisms that support cognitive flexibility within prefrontal networks. In the current study, Jackson et al. (2024) build upon insights from recent transcranial magnetic stimulation (TMS) and neuroimaging studies to investigate the critical role of prefrontal cortex for updating goals and selecting behaviourally-relevant stimuli.

 

To measure updating, the authors deploy an attentional switching paradigm in which participants selectively attend to one feature of a novel object (colour or form) while ignoring the other feature. On each trial, a symbol (called a rule cue) indicates whether to attend to the colour (green or blue) or to the form (X or non-X) of the upcoming object. By mapping each stimulus response to a separate button press (two buttons for the two colours; two buttons for the two features), the authors can then categorise different types of behavioural errors – focusing especially on attending incorrectly to the task-irrelevant feature (rule error) vs. applying the correct rule but failing to correctly identify the task-relevant feature (stimulus error). If disruption of a specific cortical region causes a selective increase in one type of error, then this would indicate that the stimulated region is important for either rule processing or stimulus processing.

 

The proposal includes a number of key features that add depth and rigor to the investigation. First, to probe the anatomical specificity of cognitive control, the authors will contrast the effect of TMS delivered to different prefrontal regions that reside within different networks and may have divergent roles in cognitive control: the dorsolateral prefrontal cortex (dlPFC, part of the multiple-demand network) and dorsomedial prefrontal cortex (dmPFC, part of the default mode network). Moreover, unlike many previous TMS studies, the authors will use electric field modelling to normalise cortical stimulation strength between regions, enabling a more controlled anatomical comparison. Second, since the task involves responding to a rule cue and then selectively attending to a task-relevant feature, it is likely that a particular brain region could be selectively critical at a specific time – for instance, if dlPFC were important for rule processing then it should only be necessary shortly after (or around) presentation of the rule cue. To capture the temporal specificity of cortical involvement, the authors will apply a short burst of TMS at different times, beginning either +150ms after the cue or +700ms during stimulus processing. In a preliminary study, the authors used magnetoencephalography (MEG) in combination with the same behavioural task and multivariate pattern analysis (MVPA) to identify these epochs for TMS. Finally, the experiment includes a range of additional control conditions and quality checks to rule out alternative explanations of potential findings, such as TMS impairing perception of the rule cue rather than implementation of the rule, and the effect of peripheral TMS artefacts. Overall, the study promises to reveal a range of intriguing new insights into the timecourse and anatomical specificity of cognitive updating, with implications for theories of prefrontal cortical function.

 

The Stage 1 manuscript was evaluated over one round of in-depth review. Based on detailed responses to the reviewers' and recommender’s 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/94sgu (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:

 

 

 

Jackon, J. B, Runhao, L., & Woolgar, A. (2024). Causal dynamics of task-relevant rule and stimulus processing in prefrontal cortex. In principle acceptance of Version 2 by Peer Community in Registered Reports. https://osf.io/94sgu