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Re-imagining fMRI for awake behaving infants

Author

Listed:
  • C. T. Ellis

    (Yale University)

  • L. J. Skalaban

    (Yale University)

  • T. S. Yates

    (Yale University)

  • V. R. Bejjanki

    (Hamilton College)

  • N. I. Córdova

    (Yale University)

  • N. B. Turk-Browne

    (Yale University)

Abstract

Thousands of functional magnetic resonance imaging (fMRI) studies have provided important insight into the human brain. However, only a handful of these studies tested infants while they were awake, because of the significant and unique methodological challenges involved. We report our efforts to address these challenges, with the goal of creating methods for awake infant fMRI that can reveal the inner workings of the developing, preverbal mind. We use these methods to collect and analyze two fMRI datasets obtained from infants during cognitive tasks, released publicly with this paper. In these datasets, we explore and evaluate data quantity and quality, task-evoked activity, and preprocessing decisions. We disseminate these methods by sharing two software packages that integrate infant-friendly cognitive tasks and eye-gaze monitoring with fMRI acquisition and analysis. These resources make fMRI a feasible and accessible technique for cognitive neuroscience in awake and behaving human infants.

Suggested Citation

  • C. T. Ellis & L. J. Skalaban & T. S. Yates & V. R. Bejjanki & N. I. Córdova & N. B. Turk-Browne, 2020. "Re-imagining fMRI for awake behaving infants," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18286-y
    DOI: 10.1038/s41467-020-18286-y
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    Cited by:

    1. Jeongho Park & Edward Soucy & Jennifer Segawa & Ross Mair & Talia Konkle, 2024. "Immersive scene representation in human visual cortex with ultra-wide-angle neuroimaging," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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