Mental health and music engagement: review, framework, and guidelines for future studies

DE Gustavson, PL Coleman, JR Iversen… - Translational …, 2021 - nature.com
Is engaging with music good for your mental health? This question has long been the topic
of empirical clinical and nonclinical investigations, with studies indicating positive …

The BRAIN Initiative data-sharing ecosystem: Characteristics, challenges, benefits, and opportunities

S Iyer, K Maxson Jones, JO Robinson, NR Provenza… - eLife, 2024 - elifesciences.org
In this paper, we provide an overview and analysis of the BRAIN Initiative data-sharing
ecosystem. First, we compare and contrast the characteristics of the seven BRAIN Initiative …

Building FAIR functionality: annotating events in time series data using hierarchical event descriptors (HED)

K Robbins, D Truong, A Jones, I Callanan, S Makeig - Neuroinformatics, 2022 - Springer
Human electrophysiological and related time series data are often acquired in complex,
event-rich environments. However, the resulting recorded brain or other dynamics are often …

A streamable large-scale clinical EEG dataset for Deep Learning

D Truong, M Sinha, KU Venkataraju… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Deep Learning has revolutionized various fields, including Computer Vision, Natural
Language Processing, as well as Biomedical research. Within the field of neuroscience …

HBN-EEG: The FAIR implementation of the Healthy Brain Network (HBN) electroencephalography dataset

SY Shirazi, A Franco, M Scopel Hoffmann, NB Esper… - bioRxiv, 2024 - biorxiv.org
Abstract The Child Mind Institute (CMI) Healthy Brain Network (HBN) project has recorded
phenotypic, behavioral, and neuroimaging data from∼ 5,000 children and young adults …

[PDF][PDF] Building FAIR functionality: Annotating event-related imaging data using Hierarchical Event Descriptors (HED)

K Robbins, D Truong, A Jones, I Callanan, S Makeig - 2020 - sccn.ucsd.edu
In fields such as human electrophysiology, high-precision time series data is often acquired
in complex, event-rich environments for interpretation of complex dynamic data features in …