A novel tool for time-locking study plans to results

Matan Mazor, Noam Mazor, Roy Mukamel

Research output: Contribution to journalArticlepeer-review

Abstract

Often researchers wish to mark an objective line between study plans that were specified before data acquisition and decisions that were made following data exploration. Contrary to common perception, registering study plans to an online platform prior to data collection does not by itself provide such an objective distinction, even when the registration is time-stamped. Here, we adapt a method from the field of cryptography to allow encoding of study plans and predictions within random aspects of the data acquisition process. Doing so introduces a causal link between the preregistered content and objective attributes of the acquired data, such as the timing and location of brain activations. This guarantees that the preregistered plans and predictions are indeed specified prior to data collection. Our time-locking system does not depend on any external party and can be performed entirely in-lab. We provide code for easy implementation and a detailed example from the field of functional Magnetic Resonance Imaging (fMRI).

Original languageEnglish
Pages (from-to)1149-1156
Number of pages8
JournalEuropean Journal of Neuroscience
Volume49
Issue number9
DOIs
StatePublished - May 2019

Keywords

  • neuroimaging
  • preregistration
  • replicability
  • science

All Science Journal Classification (ASJC) codes

  • General Neuroscience

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