EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions.

ABSTRACT:

Background

Establishing reliable predictive and diganostic biomarkers of autism would enhance early identification and facilitate targeted intervention during periods of greatest plasticity in early brain development. High impact research on biomarkers is currently limited by relatively small sample sizes and the complexity of the autism phenotype.

Methods

EEG-IP is an International Infant EEG Data Integration Platform developed to advance biomarker discovery by enhancing the large scale integration of multi-site data. Currently, this is the largest multi-site standardized dataset of infant EEG data.

Results

First, multi-site data from longitudinal cohort studies of infants at risk for autism was pooled in a common repository with 1382 EEG longitudinal recordings, lin

SUBMITTER: van Noordt S 

PROVIDER: S-EPMC7203847 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature