Lei Ai

TL;DR: The rationale, design and implementation of HBN protocols are presented, the first data release is described, and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis) is described.

TL;DR: The rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, are presented, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates).

TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.

TL;DR: The motivation, rationale and design for the Healthy Brain Network, an ongoing initiative focused on creating and sharing a biobank comprised of data from 10,000 New York City area children and adolescents, are presented along with the initial implementation and evolution of the HBN protocols.

TL;DR: This resource provides a test-bed for quantifying the reliability of connectivity indices across subjects, conditions and time and can be used to compare and optimize different frameworks for measuring connectivity and data collection parameters such as scan length.