Work Description

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

h
Attribute Value
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.
Creator
Depositor
  • chilinyu@umich.edu
Contact information
Discipline
Funding agency
  • National Institutes of Health (NIH)
Keyword
Resource type
Last modified
  • 12/19/2022
Published
  • 12/19/2022
Language
DOI
  • https://doi.org/10.7302/zw4w-hp67
License
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

Relationships

This work is not a member of any user collections.

Files (Count: 6; Size: 1.43 GB)

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 1.43 GB may be too large to download directly. Consider using Globus (see below).

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.