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

Kate B. Nooner(Nathan Kline Institute for Psychiatric Research), Stanley J. Colcombe(Nathan Kline Institute for Psychiatric Research), Russell H. Tobe(Nathan Kline Institute for Psychiatric Research), Maarten Mennes(New York University), Melissa M. Benedict(Nathan Kline Institute for Psychiatric Research), Alexis L. Moreno(Nathan Kline Institute for Psychiatric Research), Laura J. Panek(Nathan Kline Institute for Psychiatric Research), Shaquanna Brown(Nathan Kline Institute for Psychiatric Research), Stephen T. Zavitz(Nathan Kline Institute for Psychiatric Research), Qingyang Li(Child Mind Institute), Sharad Sikka(Child Mind Institute), David A. Gutman(NYU Langone Health), Saroja Bangaru(NYU Langone Health), Rochelle Tziona Schlachter(Nathan Kline Institute for Psychiatric Research), Stephanie M. Kamiel(Nathan Kline Institute for Psychiatric Research), Ayesha Anwar(Child Mind Institute), Caitlin M. Hinz(Child Mind Institute), Michelle S. Kaplan(Child Mind Institute), Anna B. Rachlin(Child Mind Institute), Samantha Adelsberg(New York University), Brian Cheung(Child Mind Institute), Ranjit Khanuja(Child Mind Institute), Chao‐Gan Yan(Child Mind Institute), R. Cameron Craddock(Nathan Kline Institute for Psychiatric Research), Vince D. Calhoun(University of New Mexico), William Courtney(Mind Research Network), Margaret King(Mind Research Network), Dylan Wood(Mind Research Network), Christine L. Cox(NYU Langone Health), Clare Kelly(NYU Langone Health), Adriana Di Martino(New York University), Eva Petkova(Nathan Kline Institute for Psychiatric Research), Philip T. Reiss(Nathan Kline Institute for Psychiatric Research), Nancy Duan(Child Mind Institute), Dawn Thomsen(Child Mind Institute), Bharat B. Biswal(Rutgers, The State University of New Jersey), Barbara Coffey(Nathan Kline Institute for Psychiatric Research), Matthew J. Hoptman(NYU Langone Health), Daniel C. Javitt(Nathan Kline Institute for Psychiatric Research), Nunzio Pomara(Nathan Kline Institute for Psychiatric Research), John J. Sidtis(New York University), Harold S. Koplewicz(Child Mind Institute), F. Xavier Castellanos(NYU Langone Health), Bennett Leventhal(Nathan Kline Institute for Psychiatric Research), Michael P. Milham(Nathan Kline Institute for Psychiatric Research)
Frontiers in Neuroscience
January 1, 2012
Cited by 898Open Access
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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.


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