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The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry

Authors :
Kate Brody Nooner
Stanley eColcombe
Russell eTobe
Maarten eMennes
Melissa eBenedict
Alexis eMoreno
Laura ePanek
Shaquanna eBrown
Stephen eZavitz
Qingyang eLi
Sharad eSikka
David eGutman
Saroja eBangaru
Rochelle Tziona eSchlachter
Stephanie eKamiel
Ayesha eAnwar
Caitlin eHinz
Michelle eKaplan
Anna eRachlin
Samantha eAdelsberg
Brian eCheung
Ranjit eKhanuja
Chaogan eYan
Cameron eCraddock
Vincent eCalhoun
William eCourtney
Margaret eKing
Dylan eWood
Christine eCox
Clare eKelly
Adriana eDiMartino
Eva ePetkova
Philip eReiss
Nancy eDuan
Dawn eThompsen
Bharat eBiswal
Barbara eCoffey
Matthew eHoptman
Daniel C Javitt
Nunzio ePomara
John eSidtis
Harold eKoplewicz
Francisco Xavier Castellanos
Bennett eLeventhal
Michael eMilham
Source :
Frontiers in Neuroscience, Vol 6 (2012)
Publication Year :
2012
Publisher :
Frontiers Media S.A., 2012.

Abstract

The National Institute of Mental Health strategic plan for advancing psychiatric neuroscience calls for an acceleration of discovery and the delineation of developmental trajectories for risk and resilience across the lifespan. To attain these objectives, sufficiently powered datasets with broad and deep phenotypic characterization, state-of-the-art neuroimaging, and genetic samples must be generated and made openly available to the scientific community. The enhanced Nathan Kline Institute Rockland Sample (NKI-RS) is a response to this need. NKI-RS is an ongoing, institutionally-centered endeavor aimed at creating a large-scale (N>1000), deeply phenotyped, community-ascertained, lifespan sample (ages 6-85 years old) with advanced neuroimaging and genetics. These data will be publically shared, openly and prospectively (i.e., on a weekly basis). Herein, we describe the conceptual basis of the NKI-RS, including study design, sampling considerations, and steps to synchronize phenotypic and neuroimaging assessment. Additionally, we describe our process for sharing the data with the scientific community while protecting participant confidentiality, maintaining an adequate database, and certifying data integrity. The pilot phase of the NKI-RS, including challenges in recruiting, characterizing, imaging, and sharing data, is discussed while also explaining how this experience informed the final design of the enhanced NKI-RS. It is our hope that familiarity with the conceptual underpinnings of the enhanced NKI-RS will facilitate harmonization with future data collection efforts aimed at advancing psychiatric neuroscience and nosology.

Details

Language :
English
ISSN :
1662453X
Volume :
6
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.3569516ff774419f835b1698b98be0a2
Document Type :
article
Full Text :
https://doi.org/10.3389/fnins.2012.00152