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A resource for assessing information processing in the developing brain using EEG and eye tracking.

Nicolas Langer1,2, Erica J Ho1,3, Lindsay M Alexander1

  • 1Center for the Developing Brain, Child Mind Institute, New York, New York 10022, USA.

Scientific Data
|April 12, 2017
PubMed
Summary

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This summary is machine-generated.

This study introduces a new dataset combining electroencephalography (EEG) and eye tracking for studying brain information processing in developing individuals. This resource aids in understanding healthy brain development and detecting developmental disorders.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Cognitive Neuroscience

Background:

  • Understanding information processing in the developing brain is crucial for identifying healthy development and potential disorders.
  • Existing datasets may not fully capture the dynamic interplay between neural activity and behavior across development.

Purpose of the Study:

  • To present a comprehensive dataset integrating electrophysiology (EEG) and eye tracking for investigating information processing in the developing brain.
  • To provide a resource for developing novel assays of neural processes fundamental to cognitive function across a wide age range.

Main Methods:

  • Collected high-density, task-based and task-free EEG, eye tracking, cognitive, and behavioral data from 126 participants (ages 6-44).
  • Utilized a task battery spanning simple/complex and passive/active paradigms to assess diverse cognitive processes.

Related Experiment Videos

  • Included cognitive tests and psychiatric functioning questionnaires.

    • Main Results:

    • The dataset offers a rich combination of neurophysiological, behavioral, and cognitive measures.
    • It enables the examination of intrinsic functional networks and active task performance components.
    • The data spans a broad developmental range, facilitating longitudinal and cross-sectional analyses.

    Conclusions:

    • This integrated dataset serves as a valuable resource for advancing the study of information processing in the developing brain.
    • It has the potential to inform the development of new methods for indexing healthy brain development and detecting pathological processes.
    • Future research can leverage this dataset to explore neural mechanisms underlying cognitive development and dysfunction.