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The ConTraSt database for analysing and comparing empirical studies of consciousness theories

Author

Listed:
  • Itay Yaron

    (Tel Aviv University)

  • Lucia Melloni

    (New York University Grossman School of Medicine
    Max Planck Institute for Empirical Aesthetics)

  • Michael Pitts

    (Reed College)

  • Liad Mudrik

    (Tel Aviv University
    Tel Aviv University)

Abstract

Understanding how consciousness arises from neural activity remains one of the biggest challenges for neuroscience. Numerous theories have been proposed in recent years, each gaining independent empirical support. Currently, there is no comprehensive, quantitative and theory-neutral overview of the field that enables an evaluation of how theoretical frameworks interact with empirical research. We provide a bird’s eye view of studies that interpreted their findings in light of at least one of four leading neuroscientific theories of consciousness (N = 412 experiments), asking how methodological choices of the researchers might affect the final conclusions. We found that supporting a specific theory can be predicted solely from methodological choices, irrespective of findings. Furthermore, most studies interpret their findings post hoc, rather than a priori testing critical predictions of the theories. Our results highlight challenges for the field and provide researchers with an open-access website ( https://ContrastDB.tau.ac.il ) to further analyse trends in the neuroscience of consciousness.

Suggested Citation

  • Itay Yaron & Lucia Melloni & Michael Pitts & Liad Mudrik, 2022. "The ConTraSt database for analysing and comparing empirical studies of consciousness theories," Nature Human Behaviour, Nature, vol. 6(4), pages 593-604, April.
  • Handle: RePEc:nat:nathum:v:6:y:2022:i:4:d:10.1038_s41562-021-01284-5
    DOI: 10.1038/s41562-021-01284-5
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    Cited by:

    1. Ang Li & Haiyang Liu & Xu Lei & Yini He & Qian Wu & Yan Yan & Xin Zhou & Xiaohan Tian & Yingjie Peng & Shangzheng Huang & Kaixin Li & Meng Wang & Yuqing Sun & Hao Yan & Cheng Zhang & Sheng He & Ruquan, 2023. "Hierarchical fluctuation shapes a dynamic flow linked to states of consciousness," Nature Communications, Nature, vol. 14(1), pages 1-20, December.

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