Dataset Information

EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli.

ABSTRACT: This article presents a collection of electroencephalographic (EEG) data recorded from 14 participants, that includes 7 participants with Intellectual and Developmental Disorder (IDD) and 7 Typically Developing Controls (TDC) under resting-state and under music stimuli. The EEG data were acquired using the EMOTIV EPOC+ device that is a 14-channel dry electrode device. The article provides two types of data: (1) Raw EEG data under resting-state and with music stimuli (i.e., task based data) and (2) pre-processed EEG data under resting state and with music stimuli. Alongside this data, we provide a robust and fully automated pre-processing pipeline for EEG data. The pipeline performs filtering, line noise removal, data selection, ICA, and automatic artefact removal.

SUBMITTER: Sareen E

PROVIDER: S-EPMC7163311 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli.

Sareen Ekansh E Singh Lakshya L Varkey Blessin B Achary Krishnaveni K Gupta Anubha A

Data in brief 20200407

This article presents a collection of electroencephalographic (EEG) data recorded from 14 participants, that includes 7 participants with Intellectual and Developmental Disorder (IDD) and 7 Typically Developing Controls (TDC) under resting-state and under music stimuli. The EEG data were acquired using the EMOTIV EPOC+ device that is a 14-channel dry electrode device. The article provides two types of data: (1) Raw EEG data under resting-state and with music stimuli (i.e., task based data) and ( ...[more]

PMID: 32322626

Similar Datasets

Project description:Dysfunctional processing of auditory sensory gating has generally been found in schizophrenic patients and ultra-high-risk (UHR) individuals. The aim of the study was to investigate the differences of functional interaction between brain regions and performance during the P50 sensory gating in UHR group compared with those in first-episode schizophrenia patients (FESZ) and healthy controls (HC) groups. The study included 128-channel scalp Electroencephalogram (EEG) recordings during the P50 auditory paradigm for 35 unmedicated FESZ, 30 drug-free UHR, and 40 HC. Cortical sources of scalp electrical activity were recomputed using exact low-resolution electromagnetic tomography (eLORETA), and functional brain networks were built at the source level and compared between the groups (FESZ, UHR, HC). A classifier using decision tree was designed for differentiating the three groups, which uses demographic characteristics, MATRICS Consensus Cognitive Battery parameters, behavioral features in P50 paradigm, and the measures of functional brain networks based on graph theory during P50 sensory gating. The results showed that very few brain connectivities were significantly different between FESZ and UHR groups during P50 sensory gating, and that a large number of brain connectivities were significantly different between FESZ and HC groups and between UHR and HC groups. Furthermore, the FESZ group had a stronger connection in the right superior frontal gyrus and right insula than the HC group. And the UHR group had an enhanced connection in the paracentral lobule and the middle temporal gyrus compared with the HC group. Moreover, comparison of classification analysis results showed that brain network metrics during P50 sensory gating can improve the accuracy of the classification for FESZ, UHR and HC groups. Our findings provide insight into the mechanisms of P50 suppression in schizophrenia and could potentially improve the performance of early identification and diagnosis of schizophrenia for the earliest intervention.

Dataset Information

EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli.

Publications

EEG dataset of individuals with intellectual and developmental disorder and healthy controls under rest and music stimuli.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets