Nathan Kline Institute - Rockland Sample Pediatric Multimodal Imaging Test-Retest Sample


Principal Investigators:

  • Michael Milham, Center for Advanced Brain Imaging, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA


  • F. Xavier Castellanos (co-investigator)
  • Stan Colcombe (co-investigator)
  • Cameron Craddock (co-investigator)
  • Vilma Gabbay (co-investigator)
  • Bennett Leventhal (co-investigator)
  • Anna Mackay Brandt (co-investigator)
  • Russ Tobe (co-investigator)

Sample Description

This pediatric multimodal imaging test-retest data is being generated through the NKI-Rockland Sample infrastructure as part of a larger NIMH-funded grant (5U01MH099059) focused on creating resource for delineating developmental trajectories of brain function and structure, as well as relationships with phenotypic measures to be delineated. Reliability is critical determinant of the success with which developmental trajectories and their variations across individuals could be mapped. Yet, there is a paucity of data regarding the reliability of imaging measures in pediatric populations. As such, we have worked to include a retest scan session for all participants. Imaging modalities include: structural MRI, resting state functional MRI (R-fMRI) scans (TR = 645ms, 1400ms, 2500ms), task based functional MRI (Breath Hold, Flashing Checkerboard), diffusion tensor imaging (DTI), and arterial spin labeling perfusion scans. For those interested in the longitudinal data being collected for these individuals, they are being made available as they are generated through the NKI-Rockland Sample Initiative (target data collection period will end in 2019).

Scan Parameters:


Note: In order to access the CoRR datasets through NITRC, users must be logged into NITRC at the time of download and registered with the 1000 Functional Connectomes Project / INDI website. A permission error message will occur if you are not logged in and properly registered. If you do not have an account you can register here. Once registered you can request to join the INDI group.

The following imaging data, specified by subject number, and phenotypic data are available (n=77, ~4GB per file):


Table Of Contents

An open neuroscience resource brought to you by: