Work Description

Title: Children’s theory of mind in a naturalistic story-listening paradigm: An fNIRS neuroimaging dataset Open Access Deposited

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Methodology
  • Data were collected using a TechEn Inc. CW6 fNIRS system with 690 and 830 nm wavelengths, 12 signals, 24 detectors, 46 channels at the University of Michigan Department of Psychology. All participants are children growing up in the US and attending English-only schools.
Description
  • The dataset includes 51 children (age range = 6-12 years) who listened to the first chapter of Alice’s Adventures in Wonderland during fNIRS neuroimaging. We also provide the text of the story with several word-by-word predictors motivated by research in Theory of Mind development and language. These annotated, naturalistic datasets can be used to replicate prior work and test new hypotheses about everyday social cognition and natural language comprehension in the developing brain.
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Funding agency
  • National Institutes of Health (NIH)
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Last modified
  • 12/19/2022
Published
  • 12/19/2022
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DOI
  • https://doi.org/10.7302/zw4w-hp67
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To Cite this Work:
Yu, C., Eggleston, R., Zhang, K., Nickerson, N., Sun, X., Marks, R. A., Hu, X., Brennan, J. R., Wellman, H. M., Kovelman, I. (2022). Children’s theory of mind in a naturalistic story-listening paradigm: An fNIRS neuroimaging dataset [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/zw4w-hp67

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Files (Count: 6; Size: 1.43 GB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
DataDescription.pdf 2022-12-17 2022-12-17 755 KB Open Access
Assent.pdf 2022-12-15 2022-12-15 158 KB Open Access
Consent.pdf 2022-12-15 2022-12-15 450 KB Open Access
Participant_Demographics.csv 2022-12-13 2022-12-13 1.21 KB Open Access
AIW.csv 2022-12-13 2022-12-13 61.1 KB Open Access
NIRSfiles.zip 2022-12-06 2022-12-06 1.43 GB Open Access

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