A novel tool for time‐locking study plans to results.

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Bibliographic Details
Title: A novel tool for time‐locking study plans to results.
Authors: Mazor, Matan (AUTHOR), Mazor, Noam (AUTHOR), Mukamel, Roy (AUTHOR)
Source: European Journal of Neuroscience. May2019, Vol. 49 Issue 9, p1149-1156. 8p. 4 Diagrams.
Subjects: Functional magnetic resonance imaging, Data collection platforms, Magnetic fields, Acquisition of data
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). [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Label: Title
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  Data: A novel tool for time‐locking study plans to results.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Mazor%2C+Matan%22">Mazor, Matan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mazor%2C+Noam%22">Mazor, Noam</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mukamel%2C+Roy%22">Mukamel, Roy</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. May2019, Vol. 49 Issue 9, p1149-1156. 8p. 4 Diagrams.
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  Data: <searchLink fieldCode="DE" term="%22Functional+magnetic+resonance+imaging%22">Functional magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Data+collection+platforms%22">Data collection platforms</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+fields%22">Magnetic fields</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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). [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/ejn.14278
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 1149
    Subjects:
      – SubjectFull: Functional magnetic resonance imaging
        Type: general
      – SubjectFull: Data collection platforms
        Type: general
      – SubjectFull: Magnetic fields
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      – SubjectFull: Acquisition of data
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      – TitleFull: A novel tool for time‐locking study plans to results.
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            NameFull: Mazor, Matan
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            NameFull: Mazor, Noam
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            NameFull: Mukamel, Roy
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              Text: May2019
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              Y: 2019
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