'Replication of Dilks et al., Journal of Neuroscience 2013' (AsPredicted #25,412)
Author(s) Miles Wischnewski (Radboud University, Donders Institute) - m.wischnewski@donders.ru.nl Marius Peelen (Radboud University, Donders Institute) - m.peelen@donders.ru.nl
Pre-registered on 2019/07/02 07:43 (PT)
1) Have any data been collected for this study already? No, no data have been collected for this study yet.
2) What's the main question being asked or hypothesis being tested in this study? The present study attempts to replicate findings of Dilks et al. (2013), experiment 2. It is hypothesized that 1) transcranial magnetic stimulation (TMS) over the lateral occipital cortex will impair object recognition and 2) TMS over occipital place area (OPA) will impair scene recognition.
Note: rather than using individual fMRI coordinates for determining the location of LOC and OPA, average coordinates will be used as reported by Julian et al. (2016) for the OPA and by Pitcher et al. (2009) for the LOC.
3) Describe the key dependent variable(s) specifying how they will be measured. For object recognition, participants indicate if an object (superimposed on a mask) was a camera, car, chair or shoe. For scene recognition, participants indicated if a scene (superimposed on a mask) was a beach, city, forest or kitchen. For both object recognition the percentage of correct answers acts as the dependent variable.
4) How many and which conditions will participants be assigned to? The experiment adopts a 2x3 repeated-measures design, with objects vs scene as one factor and TMS location (LOC, OPA and vertex) as the other factor.
5) Specify exactly which analyses you will conduct to examine the main question/hypothesis. We will conduct a 2x3 repeated-measures ANOVA with category and TMS location as independent variables. As a follow up, two planned t-test comparisons will be performed: 1) vertex vs LOC for object recognition and 2) vertex vs OPA for scene recognition.
6) Describe exactly how outliers will be defined and handled, and your precise rule(s) for excluding observations. Participants will be excluded who do not complete the experimental procedure.
7) How many observations will be collected or what will determine sample size? No need to justify decision, but be precise about exactly how the number will be determined. A sample size of n = 72 will be collected.
8) Anything else you would like to pre-register? (e.g., secondary analyses, variables collected for exploratory purposes, unusual analyses planned?) -
