README for EEG Data Repository

Purpose
The purpose of this data repository is to provide open access to raw EEG data for researchers interested in reanalyzing the data collected during a study on language development in children. This dataset aims to facilitate further research in the field of developmental language disorders and auditory discrimination.


Terms of Reuse
This dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA). By accessing and using this dataset, you agree to the following terms:

Freedom to Use: You can use the dataset for any non-commercial purpose.

Redistribution: You may redistribute copies of the dataset as long as you retain the original CC BY-NC-SA license and do not impose additional restrictions on the recipients.

Modification: You can modify the dataset and create derivative works. However, any modified versions must also be licensed under the CC BY-NC-SA license.

Attribution: Proper credit must be given to the original authors when the dataset is used or redistributed.

No Warranty: The dataset is provided "as is", without warranty of any kind, either express or implied.


Data Collection
The EEG data was collected from 48 Estonian-speaking children aged between 4 years and 6 years, divided into two groups: children with Developmental Language Disorder (DLD) and Typically Developing (TD) peers. Participants were recruited from southern counties of Estonia, and all parents provided written informed consent. The data collection included:

EEG Recording: EEG was recorded using a 32-electrode cap following the 10–20 International system. Data were captured at a frequency of 512 Hz with appropriate filtering.

Neurophysiological Experiment: The study employed a passive multi-feature paradigm with auditory stimuli designed to assess auditory discrimination of Estonian quantity distinctions. Approximately 1100 stimuli were presented to each child, allowing for the examination of their responses to standard and deviant auditory stimuli.

The detailed procedure for data collection, including psychometric testing and behavioral tasks, is documented in the original study.


How to Use This Dataset
Researchers can utilize this dataset for reanalysis, focusing on various aspects of auditory processing and language development. Suggested avenues for analysis include:

Reanalysis of ERP Responses: Investigate the event-related potentials (ERPs) associated with different auditory stimuli to explore how children with DLD process language differently from their TD peers.

Statistical Modeling: Apply linear mixed models (LMMs) to examine the relationships between behavioral performance in language tasks and EEG data, accounting for factors such as age, sex, and language development level.

Comparison Studies: Compare results with other datasets or studies examining similar populations to identify broader trends in language development and auditory discrimination.

Machine Learning Applications: Utilize machine learning techniques to predict developmental outcomes based on EEG features or behavioral assessments.


For additional information on how to access the data and examples of potential analyses, please refer to the code repository on GitHub: GitHub Repository.